2026 ICLR 中稿论文分布与清单 | blog

2026 ICLR 中稿论文分布与清单

• 状态：available
• 官方入口：https://openreview.net/group?id=ICLR.cc/2026/Conference
• 备注：OpenReview accepted submissions available.
• 纳入论文数：5351

Best / Outstanding Papers

当前官方数据源中没有识别到。

Highlight / Spotlight / Oral Papers

Type	Title	Authors
Oral	$PhyWorldBench$: A Comprehensive Evaluation of Physical Realism in Text-to-Video Models	Jing Gu; Xian Liu; Yu Zeng; Ashwin Nagarajan; Fangrui Zhu; Daniel Hong; Yue Fan; Qianqi Yan; Kaiwen Zhou; Ming-Yu Liu; Xin Eric Wang
Oral	A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization	Hideaki Kim; Tomoharu Iwata
Oral	A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration	Rohit Jena; Vedant Zope; Pratik Chaudhari; James Gee
Oral	Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference	Ben Finkelshtein; Silviu Cucerzan; Sujay Kumar Jauhar; Ryen W White
Oral	AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference	Jing Yao; Shitong Duan; Xiaoyuan Yi; Dongkuan Xu; Peng Zhang; Tun Lu; Ning Gu; Zhicheng Dou; Xing Xie
Oral	Addressing divergent representations from causal interventions on neural networks	Satchel Grant; Simon Jerome Han; Alexa R. Tartaglini; Christopher Potts
Oral	Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents	Yueqi Song; Ketan Ramaneti; Zaid Sheikh; Ziru Chen; Boyu Gou; Tianbao Xie; Yiheng Xu; Danyang Zhang; Apurva Gandhi; Fan Yang; Joseph Liu; Tianyue Ou; Zhihao Yu…
Oral	AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL	Zhiheng Xi; Jixuan Huang; Chenyang Liao; Baodai Huang; Jiaqi Liu; Honglin Guo; yajie yang; Rui Zheng; Junjie Ye; Jiazheng Zhang; Wenxiang Chen; Wei He; Yiwen D…
Oral	AnyUp: Universal Feature Upsampling	Thomas Wimmer; Prune Truong; Marie-Julie Rakotosaona; Michael Oechsle; Federico Tombari; Bernt Schiele; Jan Eric Lenssen
Oral	AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite	Jonathan Bragg; Mike D'Arcy; Nishant Balepur; Dan Bareket; Bhavana Dalvi Mishra; Sergey Feldman; Dany Haddad; Jena D. Hwang; Peter Jansen; Varsha Kishore; Bodh…
Oral	AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic Algorithms	Zhenxing Xu; Yizhe Zhang; Weidong Bao; Hao Wang; Ming Chen; Haoran Ye; Wenzheng Jiang; Hui Yan; Ji Wang
Oral	BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation via Lens of Dynamic Interactions	Nan Huo; Xiaohan Xu; Jinyang Li; Per Jacobsson; Shipei Lin; Bowen Qin; Binyuan Hui; Xiaolong Li; Ge Qu; Shuzheng Si; Linheng Han; Edward Alexander; Xintong Zhu…
Oral	Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models	Bartłomiej Marek; Lorenzo Rossi; Vincent Hanke; Xun Wang; Michael Backes; Franziska Boenisch; Adam Dziedzic
Oral	Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts	Zhaomin Wu; Mingzhe Du; See-Kiong Ng; Bingsheng He
Oral	BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals	Chenqi Li; Yu Liu; Timothy Denison; Tingting Zhu
Oral	CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data	Shifeng Xie; Vasilii Feofanov; Jianfeng Zhang; Themis Palpanas; Ievgen Redko
Oral	Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks	Songyao Jin; Biwei Huang
Oral	Characterizing the Discrete Geometry of ReLU Networks	Blake B. Gaines; Jinbo Bi
Oral	Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training	Pierre-Carl Langlais; Pavel Chizhov; Catherine Arnett; Carlos Rosas Hinostroza; Mattia Nee; Eliot Krzysztof Jones; Irène Girard; David Mach; Anastasia Stasenko…
Oral	Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering	Wei Ju; Siyu Yi; Kangjie Zheng; Yifan Wang; Ziyue Qiao; Li Shen; Yongdao Zhou; Xiaochun Cao; Jiancheng Lv
Oral	Compositional Diffusion with Guided search for Long-Horizon Planning	Utkarsh Aashu Mishra; David He; Yongxin Chen; Danfei Xu
Oral	Conformal Robustness Control: A New Strategy for Robust Decision	Yang Hu; Jieren Tan; Changliang Zou; Yajie Bao; Haojie Ren
Oral	CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answering	Yahan Li; Jifan Yao; John Bosco S. Bunyi; Adam C Frank; Angel Hsing-Chi Hwang; Ruishan Liu
Oral	Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss	Ang Lv; Jin Ma; Yiyuan Ma; Siyuan Qiao
Oral	Cross-Domain Lossy Compression via Rate- and Classification-Constrained Optimal Transport	Nam Nguyen; Thinh Nguyen; Bella Bose
Oral	CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale	Zhun Wang; Tianneng Shi; Jingxuan He; Matthew Cai; Jialin Zhang; Dawn Song
Oral	DCFold: Efficient Protein Structure Generation with Single Forward Pass	Zhe Zhang; Yuanning Feng; Yuxuan Song; Keyue Qiu; Hao Zhou; Wei-Ying Ma
Oral	DTO-KD: Dynamic Trade-off Optimization for Effective Knowledge Distillation	Zeeshan Hayder; Ali Cheraghian; Lars Petersson; Mehrtash Harandi; Richard Hartley
Oral	Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series	Guoqi Yu; Juncheng Wang; Chen Yang; Jing Qin; Angelica I Aviles-Rivero; Shujun Wang
Oral	Depth Anything 3: Recovering the Visual Space from Any Views	Haotong Lin; Sili Chen; Jun Hao Liew; Donny Y. Chen; Zhenyu Li; Yang Zhao; Sida Peng; Hengkai Guo; Xiaowei Zhou; Guang Shi; Jiashi Feng; Bingyi Kang
Oral	DepthLM: Metric Depth from Vision Language Models	Zhipeng Cai; Ching-Feng Yeh; Hu Xu; Zhuang Liu; Gregory P. Meyer; Xinjie Lei; Changsheng Zhao; Shang-Wen Li; Vikas Chandra; Yangyang Shi
Oral	Differentiable Model Predictive Control on the GPU	Emre Adabag; Marcus Greiff; John Subosits; Thomas Jonathan Lew
Oral	Differentially Private Domain Discovery	Vinod Raman; Travis Dick; Matthew Joseph
Oral	Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective	Yi-Ge Zhang; Jingyi Cui; Qiran Li; Yisen Wang
Oral	Diffusion Language Model Knows the Answer Before It Decodes	Pengxiang Li; Yefan Zhou; Dilxat Muhtar; Lu Yin; Shilin Yan; Li Shen; Yi Liang; Soroush Vosoughi; Shiwei Liu
Oral	DiffusionNFT: Online Diffusion Reinforcement with Forward Process	Kaiwen Zheng; Huayu Chen; Haotian Ye; Haoxiang Wang; Qinsheng Zhang; Kai Jiang; Hang Su; Stefano Ermon; Jun Zhu; Ming-Yu Liu
Oral	Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces	Bryon Tjanaka; Henry Chen; Matthew Christopher Fontaine; Stefanos Nikolaidis
Oral	Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning	Haoyue Dai; Immanuel Albrecht; Peter Spirtes; Kun Zhang
Oral	EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits	Wayne Chi; Valerie Chen; Ryan Shar; Aditya Mittal; Jenny Liang; Wei-Lin Chiang; Anastasios Nikolas Angelopoulos; Ion Stoica; Graham Neubig; Ameet Talwalkar; Ch…
Oral	EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning	Xuan Ju; Tianyu Wang; Yuqian Zhou; He Zhang; Qing Liu; Nanxuan Zhao; Zhifei Zhang; Yijun Li; Yuanhao Cai; Shaoteng Liu; Daniil Pakhomov; Zhe Lin; Soo Ye Kim; Q…
Oral	Efficient Resource-Constrained Training of Transformers via Subspace Optimization	Le-Trung Nguyen; Enzo Tartaglione; Van-Tam Nguyen
Oral	EigenBench: A Comparative Behavioral Measure of Value Alignment	Jonathn Chang; Leonhard Piff; Suvadip Sana; Jasmine Xinze Li; Lionel Levine
Oral	EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning	Dingdong WANG; Shujie LIU; Tianhua Zhang; Youjun Chen; Jinyu Li; Helen M. Meng
Oral	Energy-Based Transformers are Scalable Learners and Thinkers	Alexi Gladstone; Ganesh Nanduru; Md Mofijul Islam; Peixuan Han; Hyeonjeong Ha; Aman Chadha; Yilun Du; Heng Ji; Jundong Li; Tariq Iqbal
Oral	Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search	Zhiyu Mou; Yiqin Lv; Miao Xu; Cheems Wang; Yixiu Mao; Jinghao Chen; Qichen Ye; Chao Li; Rongquan Bai; Chuan Yu; Jian Xu; Bo Zheng
Oral	Every Language Model Has a Forgery-Resistant Signature	Matthew Finlayson; Xiang Ren; Swabha Swayamdipta
Oral	Exchangeability of GNN Representations with Applications to Graph Retrieval	Kartik Nair; Indradyumna Roy; Soumen Chakrabarti; Anirban Dasgupta; Abir De
Oral	Exploratory Causal Inference in SAEnce	Tommaso Mencattini; Riccardo Cadei; Francesco Locatello
Oral	Exploratory Diffusion Model for Unsupervised Reinforcement Learning	Chengyang Ying; Huayu Chen; Xinning Zhou; Zhongkai Hao; Hang Su; Jun Zhu
Oral	Exploring Synthesizable Chemical Space with Iterative Pathway Refinements	Seul Lee; Karsten Kreis; Srimukh Prasad Veccham; Meng Liu; Danny Reidenbach; Saee Gopal Paliwal; Weili Nie; Arash Vahdat
Oral	Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction	Zhao Yang; Yi Duan; Jiwei Zhu; Ying Ba; Chuan Cao; Bing Su
Oral	FALCON: Few-step Accurate Likelihoods for Continuous Flows	Danyal Rehman; Tara Akhound-Sadegh; Artem Gazizov; Yoshua Bengio; Alexander Tong
Oral	FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability–Plasticity Tradeoff	Isaac Han; Sangyeon Park; Seungwon Oh; Donghu Kim; Hojoon Lee; KyungJoong Kim
Oral	FRABench and UFEval: Unified Fine-grained Evaluation with Task and Aspect Generalization	Shibo Hong; Jiahao Ying; Haiyuan Liang; Mengdi Zhang; Jun Kuang; Jiazheng Zhang; Yixin Cao
Oral	Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data	Guillaume Braun; Bruno Loureiro; Minh Ha Quang; Masaaki Imaizumi
Oral	Fast training of accurate physics-informed neural networks without gradient descent	Chinmay Datar; Taniya Kapoor; Abhishek Chandra; Qing Sun; Erik Lien Bolager; Iryna Burak; Anna Veselovska; Massimo Fornasier; Felix Dietrich
Oral	FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging	Ziyang Fan; Keyu Chen; Ruilong Xing; Yulin Li; Li Jiang; Zhuotao Tian
Oral	FlashWorld: High-quality 3D Scene Generation within Seconds	Xinyang Li; Tengfei Wang; Zixiao Gu; Shengchuan Zhang; Chunchao Guo; Liujuan Cao
Oral	From Markov to Laplace: How Mamba In-Context Learns Markov Chains	Marco Bondaschi; Nived Rajaraman; Xiuying Wei; Razvan Pascanu; Caglar Gulcehre; Michael Gastpar; Ashok Vardhan Makkuva
Oral	From movement to cognitive maps: recurrent neural networks reveal how locomotor development shapes hippocampal spatial coding	Marco P Abrate; Laurenz Muessig; Joshua P Bassett; Hui Min Tan; Francesca Cacucci; Thomas Joseph Wills; Caswell Barry
Oral	GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning	Lakshya A Agrawal; Shangyin Tan; Dilara Soylu; Noah Ziems; Rishi Khare; Krista Opsahl-Ong; Arnav Singhvi; Herumb Shandilya; Michael J Ryan; Meng Jiang; Christo…
Oral	GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models	Peter Holderrieth; Uriel Singer; Tommi Jaakkola; Ricky T. Q. Chen; Yaron Lipman; Brian Karrer
Oral	Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments	Romain Froger; Pierre Andrews; Matteo Bettini; Amar Budhiraja; Ricardo Silveira Cabral; Virginie Do; Emilien Garreau; Jean-Baptiste Gaya; Hugo Laurençon; Maxim…
Oral	Gaussian certified unlearning in high dimensions: A hypothesis testing approach	Aaradhya Pandey; Arnab Auddy; Haolin Zou; Arian Maleki; Sanjeev Kulkarni
Oral	Generating metamers of human scene understanding	Ritik Raina; Abe Leite; Alexandros Graikos; Seoyoung Ahn; Dimitris Samaras; Greg Zelinsky
Oral	Generative Human Geometry Distribution	Xiangjun Tang; Biao Zhang; Peter Wonka
Oral	Generative Universal Verifier as Multimodal Meta-Reasoner	Xinchen Zhang; Xiaoying Zhang; Youbin Wu; Yanbin Cao; Renrui Zhang; Ruihang Chu; Ling Yang; Yujiu Yang; Guang Shi
Oral	Global Resolution: Optimal Multi-Draft Speculative Sampling via Convex Optimization	Rahul Krishna Thomas; Arka Pal
Oral	HATSolver: Learning Gröbner Bases with Hierarchical Attention Transformers	Mohamed Malhou; Ludovic Perret; Kristin E. Lauter
Oral	Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer	Tao Ren; Zishi Zhang; Jinyang Jiang; Zehao Li; Shentao Qin; Yi Zheng; Guanghao Li; Qianyou Sun; Yan Li; Jiafeng Liang; Xinping Li; Yijie Peng
Oral	Hallucination Begins Where Saliency Drops	Xiaofeng Zhang; Yuanchao Zhu; Chaochen Gu; Xiaosong Yuan; Qiyan Zhao; Jiawei Cao; Feilong Tang; Sinan Fan; Yaomin Shen; Chen Shen; Hao Tang
Oral	High-dimensional Analysis of Synthetic Data Selection	Parham Rezaei; Filip Kovačević; Francesco Locatello; Marco Mondelli
Oral	How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability	Shawn Im; Changdae Oh; Zhen Fang; Sharon Li
Oral	How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining	Kairong Luo; Zhenbo Sun; Haodong Wen; Xinyu Shi; Jiarui Cui; Chenyi Dang; Kaifeng Lyu; Wenguang Chen
Oral	How Reliable is Language Model Micro-Benchmarking?	Gregory Yauney; Shahzaib Saqib Warraich; Swabha Swayamdipta
Oral	Hubble: a Model Suite to Advance the Study of LLM Memorization	Johnny Wei; Ameya Godbole; Mohammad Aflah Khan; Ryan Yixiang Wang; Xiaoyuan Zhu; James Flemings; Nitya Kashyap; Krishna P. Gummadi; Willie Neiswanger; Robin Jia
Oral	Huxley-G"odel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine	Wenyi Wang; Piotr Piękos; Li Nanbo; Firas Laakom; Yimeng Chen; Mateusz Ostaszewski; Mingchen Zhuge; Jürgen Schmidhuber
Oral	Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport	Harry Amad; Mihaela van der Schaar
Oral	Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation	Feng Hong; Jiangchao Yao; Yifei Shen; Dongsheng Li; Ya Zhang; Yanfeng Wang
Oral	In-Place Test-Time Training	Guhao Feng; Shengjie Luo; Kai Hua; Ge Zhang; Wenhao Huang; Di He; Tianle Cai
Oral	In-the-Flow Agentic System Optimization for Effective Planning and Tool Use	Zhuofeng Li; Haoxiang Zhang; Seungju Han; Sheng Liu; Jianwen Xie; Yu Zhang; Yejin Choi; James Zou; Pan Lu
Oral	InfoNCE Induces Gaussian Distribution	Roy Betser; Eyal Gofer; Meir Yossef Levi; Guy Gilboa
Oral	InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression	Haotian Ye; Qiyuan He; Jiaqi Han; Puheng Li; Jiaojiao Fan; Zekun Hao; Fitsum Reda; Yogesh Balaji; Huayu Chen; Sheng Liu; Angela Yao; James Zou; Stefano Ermon;…
Oral	Information Shapes Koopman Representation	Xiaoyuan Cheng; Wenxuan Yuan; Yiming Yang; Yuanzhao Zhang; Sibo Cheng; Yi He; Zhuo Sun
Oral	Instilling an Active Mind in Avatars via Cognitive Simulation	Jianwen Jiang; Weihong Zeng; Zerong Zheng; Jiaqi Yang; Chao Liang; Wang Liao; Han Liang; Weifeng Chen; XING WANG; Yuan Zhang; Mingyuan Gao
Oral	Intrinsic Entropy of Context Length Scaling in LLMs	Jingzhe Shi; Qinwei Ma; Hongyi Liu; Hang Zhao; Jenq-Neng Hwang; Lei Li
Oral	Invisible Safety Threat: Malicious Finetuning for LLM via Steganography	Guangnian Wan; Xinyin Ma; Gongfan Fang; Xinchao Wang
Oral	Is it Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort	Xinpeng Wang; Nitish Joshi; Barbara Plank; Rico Angell; He He
Oral	It's All Just Vectorization: einx, a Universal Notation for Tensor Operations	Florian Fervers; Sebastian Bullinger; Christoph Bodensteiner; Michael Arens
Oral	LLM DNA: Tracing Model Evolution via Functional Representations	Zhaomin Wu; Haodong Zhao; Ziyang Wang; Jizhou Guo; Qian Wang; Bingsheng He
Oral	LLM Fingerprinting via Semantically Conditioned Watermarks	Thibaud Gloaguen; Robin Staab; Nikola Jovanović; Martin Vechev
Oral	LLMs Get Lost In Multi-Turn Conversation	Philippe Laban; Hiroaki Hayashi; Yingbo Zhou; Jennifer Neville
Oral	Latent Fourier Transform	Mason Long Wang; Cheng-Zhi Anna Huang
Oral	Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling	Tal Daniel; Carl Qi; Dan Haramati; Amir Zadeh; Chuan Li; Aviv Tamar; Deepak Pathak; David Held
Oral	Latent Speech-Text Transformer	Yen-Ju Lu; Yashesh Gaur; Wei Zhou; Benjamin Muller; Jesus Villalba; Najim Dehak; Luke Zettlemoyer; Gargi Ghosh; Mike Lewis; Srini Iyer; Duc Le
Oral	Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training	Junlin Han; Shengbang Tong; David Fan; Yufan Ren; Koustuv Sinha; Philip Torr; Filippos Kokkinos
Oral	Learning to Segment for Vehicle Routing Problems	Wenbin Ouyang; Sirui Li; Yining Ma; Cathy Wu
Oral	Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment	Haobin Li; Yijie Lin; Peng Hu; Mouxing Yang; Xi Peng
Oral	Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers	Shikang Zheng; Guantao Chen; Qinming Zhou; Yuqi Lin; Lixuan He; Chang Zou; Peiliang Cai; Jiacheng Liu; Linfeng Zhang
Oral	Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation	Zhuoyang Zhang; Luke J. Huang; Chengyue Wu; Shang Yang; Kelly Peng; Yao Lu; Song Han
Oral	LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning	Yuhao Wu; Yushi Bai; Zhiqiang Hu; Roy Ka-Wei Lee; Juanzi Li
Oral	LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts	Siyuan Wang; Gaokai Zhang; Li Lyna Zhang; Ning Shang; Fan Yang; Dongyao Chen; Mao Yang
Oral	MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains	Xuying Ning; Dongqi Fu; Tianxin Wei; Mengting Ai; Jiaru Zou; Ting-Wei Li; Hanghang Tong; Yada Zhu; Hendrik Hamann; Jingrui He
Oral	Mamba-3: Improved Sequence Modeling using State Space Principles	Aakash Lahoti; Kevin Li; Berlin Chen; Caitlin Wang; Aviv Bick; J Zico Kolter; Tri Dao; Albert Gu
Oral	Mastering Sparse CUDA Generation through Pretrained Models and Deep Reinforcement Learning	Yaoyu Wang; Hankun Dai; Zhidong Yang; Junmin Xiao; Guangming Tan
Oral	Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation	Guojian Zhan; Letian Tao; Pengcheng Wang; Yixiao Wang; Yuxin Chen; Yiheng Li; Hongyang Li; Masayoshi Tomizuka; Shengbo Eben Li
Oral	MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science	Ran Xu; Yuchen Zhuang; Yishan Zhong; Yue Yu; Zifeng Wang; Xiangru Tang; Hang Wu; May Dongmei Wang; Peifeng Ruan; Donghan Yang; Tao Wang; Guanghua Xiao; Xin Liu…
Oral	MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent	Hongli Yu; Tinghong Chen; Jiangtao Feng; Jiangjie Chen; Weinan Dai; Qiying Yu; Ya-Qin Zhang; Wei-Ying Ma; Jingjing Liu; Mingxuan Wang; Hao Zhou
Oral	MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction	Zilin Xiao; Qi Ma; Mengting Gu; Chun-cheng Jason Chen; Xintao Chen; Vicente Ordonez; Vijai Mohan
Oral	Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource	Houyi Li; Ka Man Lo; Shijie Xuyang; Ziqi Wang; Wenzhen Zheng; Haocheng Zhang; Zhao Li; Shuigeng Zhou; Xiangyu Zhang; Daxin Jiang
Oral	Modality-free Graph In-context Alignment	Wei Zhuo; Siqiang Luo
Oral	MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Models for Embodied Task Planning	Yuanchen Ju; Yongyuan Liang; Yen-Jen Wang; Gireesh Nandiraju; Yuanliang Ju; Seungjae Lee; Qiao Gu; Elvis Hsieh; Furong Huang; Koushil Sreenath
Oral	Monocular Normal Estimation via Shading Sequence Estimation	Zongrui Li; Xinhua Ma; Minghui Hu; Yunqing Zhao; Yingchen Yu; Qian Zheng; Chang Liu; Xudong Jiang; Song Bai
Oral	MotionStream: Real-Time Video Generation with Interactive Motion Controls	Joonghyuk Shin; Zhengqi Li; Richard Zhang; Jun-Yan Zhu; Jaesik Park; Eli Shechtman; Xun Huang
Oral	MrRoPE: Mixed-radix Rotary Position Embedding	Qingyuan Tian; Wenhong Zhu; Xiaoran Liu; Xiaofeng Wang; Rui Wang
Oral	Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models	Li Sun; Zhenhao Huang; Silei Chen; Lanxu Yang; Junda Ye; Sen Su; Philip S. Yu
Oral	Multimodal Aligned Semantic Knowledge for Unpaired Image-text Matching	Laiguo Yin; Yixin Zhang; YUQING SUN; Lizhen Cui
Oral	Multiplayer Nash Preference Optimization	Fang Wu; Xu Huang; Weihao Xuan; Zhiwei Zhang; Yijia Xiao; Guancheng Wan; Xiaomin Li; Bing Hu; Peng Xia; Jure Leskovec; Yejin Choi
Oral	Navigating the Latent Space Dynamics of Neural Models	Marco Fumero; Luca Moschella; Emanuele Rodolà; Francesco Locatello
Oral	Neon: Negative Extrapolation From Self-Training Improves Image Generation	Sina Alemohammad; Zhangyang Wang; Richard Baraniuk
Oral	NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale	Chunrui Han; Guopeng Li; Jingwei Wu; Quan Sun; Yan Cai; Yuang Peng; Zheng Ge; Deyu Zhou; Haomiao Tang; Hongyu Zhou; Kenkun Liu; Shu-Tao Xia; Binxing Jiao; Daxi…
Oral	Non-Asymptotic Analysis of (Sticky) Track-and-Stop	Riccardo Poiani; Martino Bernasconi; Andrea Celli
Oral	Non-Convex Federated Optimization under Cost-Aware Client Selection	Xiaowen Jiang; Anton Rodomanov; Sebastian U Stich
Oral	Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences	Zhuoran Jin; Hongbang Yuan; Kejian Zhu; Jiachun Li; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao
Oral	On The Surprising Effectiveness of a Single Global Merging in Decentralized Learning	Tongtian Zhu; Tianyu Zhang; Mingze Wang; Zhanpeng Zhou; Can Wang
Oral	On the Generalization Capacities of MLLMs for Spatial Intelligence	Gongjie Zhang; Wenhao Li; Quanhao Qian; Jiuniu Wang; Deli Zhao; Shijian Lu; Ran Xu
Oral	On the Reasoning Abilities of Masked Diffusion Language Models	Anej Svete; Ashish Sabharwal
Oral	On the Wasserstein Geodesic Principal Component Analysis of probability measures	Nina Vesseron; Elsa Cazelles; Alice Le Brigant; Klein
Oral	One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced Prototype	Guanjun Wang; Binwu Wang; Jiaming Ma; Zhengyang Zhou; Pengkun Wang; Xu Wang; Yang Wang
Oral	Online Learning and Equilibrium Computation with Ranking Feedback	Mingyang Liu; Yongshan Chen; Zhiyuan Fan; Gabriele Farina; Asuman E. Ozdaglar; Kaiqing Zhang
Oral	OpenApps: Simulating Environment Variations to Measure UI Agent Reliability	Karen Ullrich; Jingtong Su; Claudia Shi; Arjun Subramonian; Amir Bar; Ivan Evtimov; Nikolaos Tsilivis; Randall Balestriero; Julia Kempe; Mark Ibrahim
Oral	OpenThoughts: Data Recipes for Reasoning Models	Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu; Zayne Rea Sprague; Ashima…
Oral	Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks	Taishi Nakamura; Satoki Ishikawa; Masaki Kawamura; Takumi Okamoto; Daisuke Nohara; Jun Suzuki; Rio Yokota
Oral	Optimistic Task Inference for Behavior Foundation Models	Thomas Rupf; Marco Bagatella; Marin Vlastelica; Andreas Krause
Oral	Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding	Yuxuan Zhou; Fei Huang; Heng Li; Fengyi Wu; Tianyu Wang; jianwei zhang; Junyang Lin; Zhi-Qi Cheng
Oral	Overparametrization bends the landscape: BBP transitions at initialization in simple Neural Networks	Brandon Livio Annesi; Dario Bocchi; Chiara Cammarota
Oral	Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling	Shuyang Jiang; Yusheng Liao; Ya Zhang; Yanfeng Wang; Yu Wang
Oral	P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling	Pinyi Zhang; Ting-En Lin; Yuchuan Wu; Jingyang Chen; Zongqi Wang; Hua Yang; Xu Ze; Fei Huang; Yongbin Li; Kai Zhang
Oral	ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models	Federico Danieli; Pau Rodriguez; Miguel Sarabia; Xavier Suau; Luca Zappella
Oral	Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization	Jatan Shrestha; Santeri Heiskanen; Kari Hepola; Severi Rissanen; Pekka Jääskeläinen; Joni Pajarinen
Oral	Partition Generative Modeling: Masked Modeling Without Masks	Justin Deschenaux; Lan Tran; Caglar Gulcehre
Oral	PateGAIL++: Utility Optimized Private Trajectory Generation with Imitation Learning	Yingjie Ma; Bijal Bharadva; Xin Zhang; Joann Qiongna Chen
Oral	Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers	Panagiotis D. Grontas; Antonio Terpin; Efe C. Balta; Raffaello D'Andrea; John Lygeros
Oral	Planner Aware Path Learning in Diffusion Language Models Training	Fred Zhangzhi Peng; Zachary Bezemek; Jarrid Rector-Brooks; Shuibai Zhang; Michael M. Bronstein; Anru Zhang; Alexander Tong; Joey Bose
Oral	Plug-and-Play Compositionality for Boosting Continual Learning with Foundation Models	Weiduo Liao; Fei Han; Hisao Ishibuchi; Qingfu Zhang; Ying Wei
Oral	Pre-training under infinite compute	Konwoo Kim; Suhas Kotha; Percy Liang; Tatsunori Hashimoto
Oral	Premise Selection for a Lean Hammer	Thomas Zhu; Joshua Clune; Jeremy Avigad; Albert Q. Jiang; Sean Welleck
Oral	Probabilistic Kernel Function for Fast Angle Testing	Kejing Lu; Chuan Xiao; Yoshiharu Ishikawa
Oral	Q-RAG: Long Context Multi‑Step Retrieval via Value‑Based Embedder Training	Artyom Sorokin; Nazar Buzun; Aleksandr Anokhin; Egor KONSTANTINOVICH VEDERNIKOV; Petr Anokhin; Mikhail Burtsev; Evgeny Burnaev
Oral	Quantitative Bounds for Length Generalization in Transformers	Zachary Izzo; Eshaan Nichani; Jason D. Lee
Oral	Quotient-Space Diffusion Models	Yixian Xu; Yusong Wang; Shengjie Luo; Kaiyuan Gao; Tianyu He; Di He; Chang Liu
Oral	RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format	Zhehao Huang; Yuhang Liu; Baijiong Lin; Yixin Lou; Zhengbao He; Hanling Tian; Tao Li; Xiaolin Huang
Oral	Radiometrically Consistent Gaussian Surfels for Inverse Rendering	Kyu Beom Han; Jaeyoon Kim; Woo Jae Kim; Jinhwan Seo; Sung-eui Yoon
Oral	RealPDEBench: A Benchmark for Complex Physical Systems with Real-World Data	Peiyan Hu; Haodong Feng; Hongyuan Liu; Tongtong Yan; Wenhao Deng; Tianrun Gao; Rong Zheng; Haoren Zheng; Chenglei Yu; Chuanrui Wang; Kaiwen Li; Zhi-Ming Ma; De…
Oral	Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment	Shijie Zhao; Xuanyu Zhang; Weiqi Li; Junlin Li; Li zhang; Tianfan Xue; Jian Zhang
Oral	Reasoning with Sampling: Your Base Model is Smarter Than You Think	Aayush Karan; Yilun Du
Oral	RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments	Zeyi Liao; Jaylen Jones; Linxi Jiang; Yuting Ning; Eric Fosler-Lussier; Yu Su; Zhiqiang Lin; Huan Sun
Oral	Reducing Belief Deviation in Reinforcement Learning for Active Reasoning of LLM Agents	Deyu Zou; Yongqiang Chen; Jianxiang Wang; Garry YANG; Mufei Li; Qing Da; James Cheng; Pan Li; Yu Gong
Oral	RefineStat: Efficient Exploration for Probabilistic Program Synthesis	Madhav Kanda; Shubham Ugare; Sasa Misailovic
Oral	Reliable Weak-to-Strong Monitoring of LLM Agents	Neil Kale; Chen Bo Calvin Zhang; Kevin Zhu; Ankit Aich; Paula Rodriguez; Christina Q Knight; Zifan Wang
Oral	Revela: Dense Retriever Learning via Language Modeling	Fengyu Cai; Tong Chen; Xinran Zhao; Sihao Chen; Hongming Zhang; Tongshuang Wu; Iryna Gurevych; Heinz Koeppl
Oral	Rodrigues Network for Learning Robot Actions	Jialiang Zhang; Haoran Geng; Yang You; Congyue Deng; Pieter Abbeel; Jitendra Malik; Leonidas Guibas
Oral	SAFETY-GUIDED FLOW (SGF): A UNIFIED FRAMEWORK FOR NEGATIVE GUIDANCE IN SAFE GENERATION	Mingyu Kim; Young-Heon Kim; Mijung Park
Oral	SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer	Junsong Chen; Yuyang Zhao; Jincheng YU; Ruihang Chu; Junyu Chen; Shuai Yang; Xianbang Wang; Yicheng Pan; Daquan Zhou; Huan Ling; Haozhe Liu; Hongwei Yi; Hao Zh…
Oral	SWINGARENA: Adversarial Programming Arena for Long-context GitHub Issue Solving	Wendong XU; Jing Xiong; Chenyang Zhao; Qiujiang Chen; Haoran Wang; Hui Shen; Zhongwei Wan; Jianbo Dai; Taiqiang Wu; He Xiao; Chaofan Tao; Zhuoqing Mao; Ying Sh…
Oral	SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety	Geon-Hyeong Kim; Yu Jin Kim; Byoungjip Kim; Honglak Lee; Kyunghoon Bae; Youngsoo Jang; Moontae Lee
Oral	ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data	Zhaoyang Liu; JingJing Xie; Zichen Ding; Zehao Li; Bowen Yang; Zhenyu Wu; Xuehui Wang; Qiushi Sun; Shi Liu; Weiyun Wang; Shenglong Ye; Qingyun Li; Zeyue Tian;…
Oral	Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute	Kieran Didi; Zuobai Zhang; Guoqing Zhou; Danny Reidenbach; Zhonglin Cao; Sooyoung Cha; Tomas Geffner; Christian Dallago; Jian Tang; Michael M. Bronstein; Marti…
Oral	Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime	Leonardo Defilippis; Yizhou Xu; Julius Girardin; Vittorio Erba; Emanuele Troiani; Lenka Zdeborová; Bruno Loureiro; Florent Krzakala
Oral	Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI	Zheng Huang; Enpei Zhang; Weikang Qiu; Yinghao Cai; Carl Yang; Elynn Chen; Xiang Zhang; Rex Ying; Dawei Zhou; Yujun Yan
Oral	Semi-Supervised Preference Optimization with Limited Feedback	Seonggyun Lee; Sungjun Lim; Seojin Park; Soeun Cheon; Kyungwoo Song
Oral	Sequences of Logits Reveal the Low Rank Structure of Language Models	Noah Golowich; Allen Liu; Abhishek Shetty
Oral	Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People	Gabriel Grand; Valerio Pepe; Joshua B. Tenenbaum; Jacob Andreas
Oral	SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents	Gyuhyeon Seo; Jungwoo Yang; Junseong Pyo; Nalim Kim; Jonggeun Lee; Yohan Jo
Oral	Softmax Transformers are Turing-Complete	Hongjian Jiang; Michael Hahn; Georg Zetzsche; Anthony Widjaja Lin
Oral	Speculative Actions: A Lossless Framework for Faster AI Agents	Naimeng Ye; Arnav Ahuja; Georgios Liargkovas; Yunan Lu; Kostis Kaffes; Tianyi Peng
Oral	Spherical Watermark: Encryption-Free, Lossless Watermarking for Diffusion Models	Xiaoxiao Hu; Jiaqi Jin; Sheng Li; Wanli Peng; Xinpeng Zhang; Zhenxing Qian
Oral	Stable Video Infinity: Infinite-Length Video Generation with Error Recycling	Wuyang Li; Wentao Pan; Po-Chien Luan; Yang Gao; Alexandre Alahi
Oral	Steering the Herd: A Framework for LLM-based Control of Social Learning	Raghu Arghal; Kevin He; Shirin Saeedi Bidokhti; Saswati Sarkar
Oral	Structured Flow Autoencoders: Learning Structured Probabilistic Representations with Flow Matching	Yidan Xu; Yixin Wang; XuanLong Nguyen
Oral	TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning	Marco Bagatella; Matteo Pirotta; Ahmed Touati; Alessandro Lazaric; Andrea Tirinzoni
Oral	TRACE: Your Diffusion Model is Secretly an Instance Edge Detector	Sanghyun Jo; Ziseok Lee; Wooyeol Lee; Jonghyun Choi; Jaesik Park; Kyungsu Kim
Oral	TROLL: Trust Regions Improve Reinforcement Learning for Large Language Models	Philipp Becker; Niklas Freymuth; Serge Thilges; Fabian Otto; Gerhard Neumann
Oral	TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems	Christoph Minixhofer; Ondrej Klejch; Peter Bell
Oral	TabStruct: Measuring Structural Fidelity of Tabular Data	Xiangjian Jiang; Nikola Simidjievski; Mateja Jamnik
Oral	Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation	Zhengbo Wang; Jian Liang; Ran He; Zilei Wang; Tieniu Tan
Oral	Task-free Adaptive Meta Black-box Optimization	Chao Wang; Licheng Jiao; Lingling Li; Jiaxuan Zhao; Guanchun Wang; Fang Liu; Shuyuan Yang
Oral	Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability	Usha Bhalla; Alex Oesterling; Claudio Mayrink Verdun; Himabindu Lakkaraju; Flavio Calmon
Oral	Temporal superposition and feature geometry of RNNs under memory demands	Pratyaksh Sharma; Alexandra Maria Proca; Lucas Prieto; Pedro A. M. Mediano
Oral	Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator	Hyojun Go; Dominik Narnhofer; Goutam Bhat; Prune Truong; Federico Tombari; Konrad Schindler
Oral	The Art of Scaling Reinforcement Learning Compute for LLMs	Fnu Devvrit; Lovish Madaan; Rishabh Tiwari; Rachit Bansal; Sai Surya Duvvuri; Manzil Zaheer; Inderjit S Dhillon; David Brandfonbrener; Rishabh Agarwal
Oral	The Coverage Principle: How Pre-Training Enables Post-Training	Fan Chen; Audrey Huang; Noah Golowich; Sadhika Malladi; Adam Block; Jordan T. Ash; Akshay Krishnamurthy; Dylan J Foster
Oral	The Polar Express: Optimal Matrix Sign Methods and their Application to the Muon Algorithm	Noah Amsel; David Persson; Christopher Musco; Robert M. Gower
Oral	The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology	Aideen Fay; Inés García-Redondo; Qiquan Wang; Haim Dubossarsky; Anthea Monod
Oral	The Spacetime of Diffusion Models: An Information Geometry Perspective	Rafal Karczewski; Markus Heinonen; Alison Pouplin; Søren Hauberg; Vikas K Garg
Oral	ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models	Akshat Ramachandran; Marina Neseem; Charbel Sakr; Rangharajan Venkatesan; Brucek Khailany; Tushar Krishna
Oral	Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs	Zhiyu Pan; Yizheng Wu; Jiashen Hua; Junyi Feng; Shaotian Yan; Bing Deng; Zhiguo Cao; Jieping Ye
Oral	TileLang: Bridge Programmability and Performance in Modern Neural Kernels	Lei Wang; Yu Cheng; Yining Shi; Zhiwen Mo; Zhengju Tang; Wenhao Xie; Tong Wu; Lingxiao Ma; Yuqing Xia; Jilong Xue; Fan Yang; Zhi Yang
Oral	To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models	Eran Malach; Omid Saremi; Sinead Williamson; Arwen Bradley; Aryo Lotfi; Emmanuel Abbe; Joshua M. Susskind; Etai Littwin
Oral	Token-Importance Guided Direct Preference Optimization	Ning Yang; Hai Lin; Yibo Liu; Baoliang Tian; Guoqing Liu; Haijun Zhang
Oral	Train-before-Test Harmonizes Language Model Rankings	Guanhua Zhang; Ricardo Dominguez-Olmedo; Moritz Hardt
Oral	Transformers are Inherently Succinct	Pascal Bergsträßer; Ryan Cotterell; Anthony Widjaja Lin
Oral	Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?	Zijian Zhao; Sen Li
Oral	True Self-Supervised Novel View Synthesis is Transferable	Thomas Mitchel; Hyunwoo Ryu; Vincent Sitzmann
Oral	UALM: Unified Audio Language Model for Understanding, Generation and Reasoning	Jinchuan Tian; Sang-gil Lee; Zhifeng Kong; Sreyan Ghosh; Arushi Goel; Chao-Han Huck Yang; Wenliang Dai; Zihan Liu; Hanrong Ye; Shinji Watanabe; Mohammad Shoeyb…
Oral	Uncover Underlying Correspondence for Robust Multi-view Clustering	Haochen Zhou; Guofeng Ding; Mouxing Yang; Peng Hu; Yijie Lin; Xi Peng
Oral	Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)	Nikita Maksimovich Kornilov; David Li; Tikhon Mavrin; Aleksei Leonov; Nikita Gushchin; Evgeny Burnaev; Iaroslav Sergeevich Koshelev; Alexander Korotin
Oral	Verifying Chain-of-Thought Reasoning via Its Computational Graph	Zheng Zhao; Yeskendir Koishekenov; Xianjun Yang; Naila Murray; Nicola Cancedda
Oral	Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning	Hao Tan; jun lan; Zichang Tan; Senyuan Shi; Ajian Liu; Chuanbiao Song; Huijia Zhu; Weiqiang Wang; Jun Wan; Zhen Lei
Oral	VibeVoice: Expressive Podcast Generation with Next-Token Diffusion	Zhiliang Peng; Jianwei Yu; Wenhui Wang; Yaoyao Chang; Yutao Sun; Li Dong; Yi Zhu; Weijiang Xu; Hangbo Bao; Zehua Wang; Shaohan Huang; Yan Xia; Furu Wei
Oral	Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction–Reasoning Synergy	Haijier Chen; Bo Xu; Shoujian zhang; Haoze Liu; Jiaxuan Lin; Jingrong Wang
Oral	Visual Planning: Let's Think Only with Images	Yi Xu; Chengzu Li; Han Zhou; Xingchen Wan; Caiqi Zhang; Anna Korhonen; Ivan Vulić
Oral	Visual symbolic mechanisms: Emergent symbol processing in Vision Language Models	Rim Assouel; Declan Iain Campbell; Yoshua Bengio; Taylor Whittington Webb
Oral	WAFT: Warping-Alone Field Transforms for Optical Flow	Yihan Wang; Jia Deng
Oral	WAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM	Changli Tang; Qinfan Xiao; Ke Mei; Tianyi Wang; Fengyun Rao; Chao Zhang
Oral	WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training	Changxin Tian; jiapeng wang; Qian Zhao; Kunlong Chen; Jia Liu; Ziqi Liu; Jiaxin Mao; Xin Zhao; Zhiqiang Zhang; JUN ZHOU
Oral	Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning	Thibaud Gloaguen; Mark Vero; Robin Staab; Martin Vechev
Oral	WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality	Chunyang Li; Yilun Zheng; Xinting Huang; Tianqing Fang; Jiahao Xu; Lihui Chen; Yangqiu Song; Han Hu
Oral	What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data	Rajiv Movva; Smitha Milli; Sewon Min; Emma Pierson
Oral	Why DPO is a Misspecified Estimator and How to Fix It	Aditya Gopalan; Sayak Ray Chowdhury; Debangshu Banerjee
Oral	Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention	Haiquan Qiu; Quanming Yao
Oral	World-In-World: World Models in a Closed-Loop World	Jiahan Zhang; Muqing Jiang; Nanru Dai; TaiMing Lu; Arda Uzunoglu; Shunchi Zhang; Yana Wei; Jiahao Wang; Vishal M. Patel; Paul Pu Liang; Daniel Khashabi; Cheng…
Oral	mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules	Carl Edwards; Chi Han; Gawon Lee; Thao Nguyen; Sara Szymkuć; Chetan Kumar Prasad; Bowen Jin; Jiawei Han; Ying Diao; Ge Liu; Hao Peng; Bartosz Andrzej Grzybowsk…
Oral	p-less Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding	Runyan Tan; Shuang Wu; Phillip Howard

Official Area / Track Distribution

Official area / track	篇数	占比
foundation or frontier models, including LLMs	845	15.8%
applications to computer vision, audio, language, and other modalities	733	13.7%
generative models	498	9.3%
datasets and benchmarks	439	8.2%
alignment, fairness, safety, privacy, and societal considerations	423	7.9%
reinforcement learning	307	5.7%
unsupervised, self-supervised, semi-supervised, and supervised representation learning	268	5.0%
applications to physical sciences (physics, chemistry, biology, etc.)	220	4.1%
interpretability and explainable AI	200	3.7%
optimization	191	3.6%
learning theory	188	3.5%
applications to robotics, autonomy, planning	178	3.3%
other topics in machine learning (i.e., none of the above)	165	3.1%
probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)	118	2.2%
transfer learning, meta learning, and lifelong learning	118	2.2%
learning on graphs and other geometries & topologies	113	2.1%
applications to neuroscience & cognitive science	112	2.1%
learning on time series and dynamical systems	100	1.9%
neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.)	46	0.9%
causal reasoning	45	0.8%
infrastructure, software libraries, hardware, systems, etc.	44	0.8%
Total	5351	100.0%

关键词云图

Keywords / Topic Clusters

Official area / track	高频关键词
foundation or frontier models, including LLMs	including LLMs(845), Large Language Models(128), Reinforcement Learning(88), LLM(68), Large Language Model(56), Reasoning(52), large language models(41), LLMs(34), reasoning(32), reinforcement learning(24)
applications to computer vision, audio, language, and other modalities	audio(736), language(733), and other modalities(733), Reinforcement Learning(33), Large Language Models(27), 3D Gaussian Splatting(18), LLM(16), Multimodal Large Language Models(15), Diffusion Models(14), 3D Reconstruction(13)
generative models	Diffusion Models(42), Diffusion Model(29), diffusion models(29), generative models(25), Video Generation(25), Diffusion models(22), Generative Models(19), Flow Matching(19), flow matching(16), image generation(15)
datasets and benchmarks	Benchmark(67), benchmark(54), LLM(21), Large Language Models(20), Evaluation(16), dataset(14), Benchmarking(14), Dataset(13), large language models(12), Multimodal Large Language Models(12)
alignment, fairness, safety, privacy, and societal considerations	safety(441), privacy(433), fairness(427), and societal considerations(423), Large Language Models(37), LLM(27), Safety(20), alignment(16), AI Safety(13), large language models(13)
reinforcement learning	Reinforcement Learning(87), reinforcement learning(53), Offline Reinforcement Learning(14), Reinforcement learning(13), Large Language Models(11), representation learning(8), Exploration(8), RL(7), Flow Matching(6), Offline RL(5)
unsupervised, self-supervised, semi-supervised, and supervised representation learning	self-supervised(268), semi-supervised(268), and supervised representation learning(268), representation learning(21), Representation Learning(11), Contrastive Learning(7), self-supervised learning(7), Clustering(6), Unsupervised Learning(5), Large Language Models(5)
applications to physical sciences (physics, chemistry, biology, etc.)	biology(222), chemistry(220), etc.)(220), AI for Science(10), flow matching(8), Large Language Models(7), Flow Matching(6), molecular dynamics(6), generative models(5), PDE(5)
interpretability and explainable AI	interpretability(34), Interpretability(32), mechanistic interpretability(20), Mechanistic Interpretability(16), LLMs(10), Sparse Autoencoders(10), Large Language Models(9), Explainability(9), Large Language Model(7), explainability(6)
optimization	optimization(20), Optimization(8), stochastic optimization(6), Large Language Models(5), Stochastic optimization(4), implicit bias(4), Implicit bias(4), nonconvex optimization(4), Federated Learning(4), Deep Reinforcement Learning(4)
learning theory	generalization(9), learning theory(7), theory(6), deep learning theory(6), reinforcement learning(6), online learning(4), scaling laws(4), neural networks(4), Learning theory(4), high-dimensional statistics(4)
applications to robotics, autonomy, planning	autonomy(178), planning(178), Reinforcement Learning(16), Autonomous Driving(13), Imitation Learning(12), robotics(11), Robot Learning(10), Robotics(10), VLA(7), Robotic Manipulation(7)
other topics in machine learning (i.e., none of the above)	none of the above)(165), Large Language Models(7), Federated Learning(6), LLM(5), Quantization(5), Reinforcement Learning(4), deep learning(3), Generalization(3), Domain Adaptation(3), Machine Unlearning(3)
probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)	sampling(122), variational inference(121), UQ(118), etc.)(118), Uncertainty Quantification(11), Bayesian optimization(6), Bayesian Optimization(5), LLM(5), Conformal Prediction(5), large language models(4)
transfer learning, meta learning, and lifelong learning	meta learning(118), and lifelong learning(118), Continual Learning(16), continual learning(14), Model Merging(7), Knowledge Distillation(6), Parameter-Efficient Fine-Tuning(5), Large Language Models(5), Test-Time Adaptation(5), Continual learning(4)
learning on graphs and other geometries & topologies	Graph Neural Networks(16), graph neural networks(7), graph neural network(6), Geometric Deep Learning(4), equivariance(4), GNN(3), Graph neural networks(3), Graph Neural Network(3), Deep Learning(3), Transformers(3)
applications to neuroscience & cognitive science	neuroscience(10), Spiking Neural Networks(8), EEG(7), cognitive science(5), computational neuroscience(5), Neuroscience(5), fMRI(5), Spiking Neural Network(5), transformer(3), Neural decoding(3)
learning on time series and dynamical systems	Time Series Forecasting(10), time series forecasting(7), time series(7), foundation models(5), Time series(4), Representation Learning(3), Time-Series Forecasting(3), Time series forecasting(3), Uncertainty quantification(2), time-series(2)
neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.)	logic & formal reasoning(46), etc.)(46), Large Language Models(8), Autoformalization(4), large language model(3), Lean 4(3), Formal Theorem Proving(2), Automated Theorem Proving(2), large language models(2), code generation(2)
causal reasoning	causal inference(10), causal discovery(6), Causal Discovery(6), Causal Inference(5), Reinforcement Learning(3), causality(3), Uncertainty Quantification(2), causal machine learning(2), Causality(2), network interference(2)
infrastructure, software libraries, hardware, systems, etc.	software libraries(44), hardware(44), systems(44), etc.(44), efficiency(4), large language models(3), LLM(3), Quantization(3), Large Language Models(3), compiler(2)

Accepted Papers

表格按 recognition -> official_category -> title 排序。标题点击后跳转到官方阅读页；Affiliation 只使用官方页面能读到的信息。

#	Paper
1	AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference Authors: Jing Yao; Shitong Duan; Xiaoyuan Yi; Dongkuan Xu; Peng Zhang; Tun Lu; Ning Gu; Zhicheng Dou; Xing Xie Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: LLM Evaluation; Value Evaluation; Value Alignment; Dynamic Evaluation; Value Difference; fairness; safety; privacy; and societal considerations
2	Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts Authors: Zhaomin Wu; Mingzhe Du; See-Kiong Ng; Bingsheng He Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Large Language Models; Deception Detection; Trustworthy AI; Benign Prompts; Behavioral Inconsistency; Deceptive Intention; Deceptive Behavior; Self-Initiated D…
3	Differentially Private Domain Discovery Authors: Vinod Raman; Travis Dick; Matthew Joseph Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Differential Privacy; Partition Selection; Top-k Selection; fairness; safety; privacy; and societal considerations
4	EigenBench: A Comparative Behavioral Measure of Value Alignment Authors: Jonathn Chang; Leonhard Piff; Suvadip Sana; Jasmine Xinze Li; Lionel Levine Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: value alignment; Bradley-Terry model; EigenTrust; model disposition; constitutional AI; fairness; safety; privacy; and societal considerations
5	Every Language Model Has a Forgery-Resistant Signature Authors: Matthew Finlayson; Xiang Ren; Swabha Swayamdipta Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: fingerprint; watermark; language model; signature; accountability; cryptography; forgery; security; fairness; safety; privacy; and societal considerations
6	Gaussian certified unlearning in high dimensions: A hypothesis testing approach Authors: Aaradhya Pandey; Arnab Auddy; Haolin Zou; Arian Maleki; Sanjeev Kulkarni Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Machine unlearning in high dimensions; Proportional asymptotics; High dimensional statistical theory; Privacy–accuracy tradeoff; Hypothesis testing; Gaussian n…
7	Hubble: a Model Suite to Advance the Study of LLM Memorization Authors: Johnny Wei; Ameya Godbole; Mohammad Aflah Khan; Ryan Yixiang Wang; Xiaoyuan Zhu; James Flemings; Nitya Kashyap; Krishna P. Gummadi; Willie Neiswanger; Robin Jia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: memorization; copyright; privacy; test set contamination; membership inference; unlearning; fairness; safety; privacy; and societal considerations
8	Invisible Safety Threat: Malicious Finetuning for LLM via Steganography Authors: Guangnian Wan; Xinyin Ma; Gongfan Fang; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: LLM; finetuning; safety; steganography; fairness; safety; privacy; and societal considerations
9	Is it Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort Authors: Xinpeng Wang; Nitish Joshi; Barbara Plank; Rico Angell; He He Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Reward Hacking Detection; Chain-of-Thought Monitoring; Reasoning Faithfulness; fairness; safety; privacy; and societal considerations
10	LLM Fingerprinting via Semantically Conditioned Watermarks Authors: Thibaud Gloaguen; Robin Staab; Nikola Jovanović; Martin Vechev Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: LLM; Watermarks; Fingerprinting; fairness; safety; privacy; and societal considerations
11	Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences Authors: Zhuoran Jin; Hongbang Yuan; Kejian Zhu; Jiachun Li; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Omni-Modal Models; Reward Models; Alignment; fairness; safety; privacy; and societal considerations
12	P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling Authors: Pinyi Zhang; Ting-En Lin; Yuchuan Wu; Jingyang Chen; Zongqi Wang; Hua Yang; Xu Ze; Fei Huang; Yongbin Li; Kai Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: personalizd alignment; generative reward model; test-time user-based scaling; fairness; safety; privacy; and societal considerations
13	PateGAIL++: Utility Optimized Private Trajectory Generation with Imitation Learning Authors: Yingjie Ma; Bijal Bharadva; Xin Zhang; Joann Qiongna Chen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Differential Privacy; Imitation Learning; fairness; safety; privacy; and societal considerations
14	RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments Authors: Zeyi Liao; Jaylen Jones; Linxi Jiang; Yuting Ning; Eric Fosler-Lussier; Yu Su; Zhiqiang Lin; Huan Sun Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Computer-Use Agents; Adversarial Risks; Sandbox; Benchmark; fairness; safety; privacy; and societal considerations
15	Reliable Weak-to-Strong Monitoring of LLM Agents Authors: Neil Kale; Chen Bo Calvin Zhang; Kevin Zhu; Ankit Aich; Paula Rodriguez; Christina Q Knight; Zifan Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Agent Safety; Chain-of-Thought Monitoring; Large Language Model; fairness; safety; privacy; and societal considerations
16	SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety Authors: Geon-Hyeong Kim; Yu Jin Kim; Byoungjip Kim; Honglak Lee; Kyunghoon Bae; Youngsoo Jang; Moontae Lee Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Safety Alignment; LLM Fine-tuning; Preferences; Large Language Models; AI Safety; fairness; safety; privacy; and societal considerations
17	Semi-Supervised Preference Optimization with Limited Feedback Authors: Seonggyun Lee; Sungjun Lim; Seojin Park; Soeun Cheon; Kyungwoo Song Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Preference Optimization; Semi-Supervised Learning; fairness; safety; privacy; and societal considerations
18	Spherical Watermark: Encryption-Free, Lossless Watermarking for Diffusion Models Authors: Xiaoxiao Hu; Jiaqi Jin; Sheng Li; Wanli Peng; Xinpeng Zhang; Zhenxing Qian Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: AIGC Watermarking; Diffusion Models; fairness; safety; privacy; and societal considerations
19	Steering the Herd: A Framework for LLM-based Control of Social Learning Authors: Raghu Arghal; Kevin He; Shirin Saeedi Bidokhti; Saswati Sarkar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Social learning; LLMs; optimal control; information design; dynamic programming; fairness; safety; privacy; and societal considerations
20	Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning Authors: Thibaud Gloaguen; Mark Vero; Robin Staab; Martin Vechev Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: LLM; Finetuning; Safety; fairness; safety; privacy; and societal considerations
21	What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data Authors: Rajiv Movva; Smitha Milli; Sewon Min; Emma Pierson Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: rlhf; explaining datasets; interpretability; reward modeling; personalization; fairness; safety; privacy; and societal considerations
22	AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL Authors: Zhiheng Xi; Jixuan Huang; Chenyang Liao; Baodai Huang; Jiaqi Liu; Honglin Guo; yajie yang; Rui Zheng; Junjie Ye; Jiazheng Zhang; Wenxiang Chen; Wei He; Yiwen Ding; Guanyu Li; Zehu… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: large language model; LLM-based agent; decision-making; audio; language; and other modalities
23	Cross-Domain Lossy Compression via Rate- and Classification-Constrained Optimal Transport Authors: Nam Nguyen; Thinh Nguyen; Bella Bose Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Lossy Compression; Image Compression; Image Restoration; Image Inpainting; Optimal Transport; Multi-task Learning; Rate-Distortion-Perception Tradeoff; Rate-Di…
24	DTO-KD: Dynamic Trade-off Optimization for Effective Knowledge Distillation Authors: Zeeshan Hayder; Ali Cheraghian; Lars Petersson; Mehrtash Harandi; Richard Hartley Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Knowledge Distillation; audio; language; and other modalities
25	Depth Anything 3: Recovering the Visual Space from Any Views Authors: Haotong Lin; Sili Chen; Jun Hao Liew; Donny Y. Chen; Zhenyu Li; Yang Zhao; Sida Peng; Hengkai Guo; Xiaowei Zhou; Guang Shi; Jiashi Feng; Bingyi Kang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Depth Estimation; audio; language; and other modalities
26	EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning Authors: Dingdong WANG; Shujie LIU; Tianhua Zhang; Youjun Chen; Jinyu Li; Helen M. Meng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Speech Emotion Recognition; Speech LLMs; Speech Processing; Reinforcement Learning; audio; language; and other modalities
27	FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging Authors: Ziyang Fan; Keyu Chen; Ruilong Xing; Yulin Li; Li Jiang; Zhuotao Tian Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Efficient Large Multimodal Models; Video Large Language Models; Visual Token Compression; audio; language; and other modalities
28	In-the-Flow Agentic System Optimization for Effective Planning and Tool Use Authors: Zhuofeng Li; Haoxiang Zhang; Seungju Han; Sheng Liu; Jianwen Xie; Yu Zhang; Yejin Choi; James Zou; Pan Lu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Reinforcement Learning; Large Language Models; Agentic Systems; Tool Use; Planning; On-policy Optimization; Sparse Rewards; audio; language; and other modaliti…
29	Instilling an Active Mind in Avatars via Cognitive Simulation Authors: Jianwen Jiang; Weihong Zeng; Zerong Zheng; Jiaqi Yang; Chao Liang; Wang Liao; Han Liang; Weifeng Chen; XING WANG; Yuan Zhang; Mingyuan Gao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Video Generatio; Human Animation; Avatar; Multimedia; audio; language; and other modalities
30	Latent Fourier Transform Authors: Mason Long Wang; Cheng-Zhi Anna Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Music Generation; Signal Processing; Diffusion Models; Audio; Music; Audio Generation; Controllable Generation; Fourier Transform; Diffusion Autoencoders; audi…
31	MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction Authors: Zilin Xiao; Qi Ma; Mengting Gu; Chun-cheng Jason Chen; Xintao Chen; Vicente Ordonez; Vijai Mohan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: multimodal retrieval; information retrieval; audio; language; and other modalities
32	Multimodal Aligned Semantic Knowledge for Unpaired Image-text Matching Authors: Laiguo Yin; Yixin Zhang; YUQING SUN; Lizhen Cui Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Unpaired Image-text Matching; Out-of-Distribution Word; Multimodal Aligned Semantic Knowledge; Prototype; audio; language; and other modalities
33	Multiplayer Nash Preference Optimization Authors: Fang Wu; Xu Huang; Weihao Xuan; Zhiwei Zhang; Yijia Xiao; Guancheng Wan; Xiaomin Li; Bing Hu; Peng Xia; Jure Leskovec; Yejin Choi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Preference Optimization; RLHF; LLM Post-training; audio; language; and other modalities
34	Radiometrically Consistent Gaussian Surfels for Inverse Rendering Authors: Kyu Beom Han; Jaeyoon Kim; Woo Jae Kim; Jinhwan Seo; Sung-eui Yoon Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Radiometric Consistency; Indirect Illumination; Gaussian Splatting; Inverse Rendering; audio; language; and other modalities
35	SWINGARENA: Adversarial Programming Arena for Long-context GitHub Issue Solving Authors: Wendong XU; Jing Xiong; Chenyang Zhao; Qiujiang Chen; Haoran Wang; Hui Shen; Zhongwei Wan; Jianbo Dai; Taiqiang Wu; He Xiao; Chaofan Tao; Zhuoqing Mao; Ying Sheng; Zhijiang Guo; H… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Arena; Real-World GitHub Issues; Adversarial Programming; Retrieval-Augmented Generation; Continuous Integration; Code Benchmark; audio; language; and other mo…
36	ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data Authors: Zhaoyang Liu; JingJing Xie; Zichen Ding; Zehao Li; Bowen Yang; Zhenyu Wu; Xuehui Wang; Qiushi Sun; Shi Liu; Weiyun Wang; Shenglong Ye; Qingyun Li; Zeyue Tian; Gen Luo; Xiangyu Yue… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: GUI Agent; GUI Data Pipeline; Computer Use; Open Source; audio; language; and other modalities
37	True Self-Supervised Novel View Synthesis is Transferable Authors: Thomas Mitchel; Hyunwoo Ryu; Vincent Sitzmann Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Novel View Synthesis; Self-Supervised; Unsupervised; Representation Learning; audio; language; and other modalities
38	UALM: Unified Audio Language Model for Understanding, Generation and Reasoning Authors: Jinchuan Tian; Sang-gil Lee; Zhifeng Kong; Sreyan Ghosh; Arushi Goel; Chao-Han Huck Yang; Wenliang Dai; Zihan Liu; Hanrong Ye; Shinji Watanabe; Mohammad Shoeybi; Bryan Catanzaro;… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Audio Language Model; Audio Understanding; Audio Generation; audio; language; and other modalities
39	Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning Authors: Hao Tan; jun lan; Zichang Tan; Senyuan Shi; Ajian Liu; Chuanbiao Song; Huijia Zhu; Weiqiang Wang; Jun Wan; Zhen Lei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Deepfake Detection; MLLMs; audio; language; and other modalities
40	VibeVoice: Expressive Podcast Generation with Next-Token Diffusion Authors: Zhiliang Peng; Jianwei Yu; Wenhui Wang; Yaoyao Chang; Yutao Sun; Li Dong; Yi Zhu; Weijiang Xu; Hangbo Bao; Zehua Wang; Shaohan Huang; Yan Xia; Furu Wei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Text-to-Speech; Podcast Generation; audio; language; and other modalities
41	WAFT: Warping-Alone Field Transforms for Optical Flow Authors: Yihan Wang; Jia Deng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Optical Flow; Computer Vision; Warping; Dense Correspondences; audio; language; and other modalities
42	From movement to cognitive maps: recurrent neural networks reveal how locomotor development shapes hippocampal spatial coding Authors: Marco P Abrate; Laurenz Muessig; Joshua P Bassett; Hui Min Tan; Francesca Cacucci; Thomas Joseph Wills; Caswell Barry Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Oral Keywords: recurrent neural network; spatial representations; hippocampus; development; locomotion; rats
43	Generating metamers of human scene understanding Authors: Ritik Raina; Abe Leite; Alexandros Graikos; Seoyoung Ahn; Dimitris Samaras; Greg Zelinsky Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Oral Keywords: human scene understanding; generative modeling
44	Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI Authors: Zheng Huang; Enpei Zhang; Weikang Qiu; Yinghao Cai; Carl Yang; Elynn Chen; Xiang Zhang; Rex Ying; Dawei Zhou; Yujun Yan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Oral Keywords: Neuroscience; Functional Magnetic Resonance Imaging; Image reconstruction; Reconstruction
45	Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People Authors: Gabriel Grand; Valerio Pepe; Joshua B. Tenenbaum; Jacob Andreas Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Oral Keywords: Bayesian experimental design; information-seeking; question asking; Collaborative Battleship; expected information gain (EIG); explore-exploit tradeoffs; resou…
46	BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals Authors: Chenqi Li; Yu Liu; Timothy Denison; Tingting Zhu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: biosignal; ai for healthcare; humans and ai; unsupervised cross-modal knowledge transfer; chemistry; biology; etc.)
47	DCFold: Efficient Protein Structure Generation with Single Forward Pass Authors: Zhe Zhang; Yuanning Feng; Yuxuan Song; Keyue Qiu; Hao Zhou; Wei-Ying Ma Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: consistency model; protein structure generation; chemistry; biology; etc.)
48	Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series Authors: Guoqi Yu; Juncheng Wang; Chen Yang; Jing Qin; Angelica I Aviles-Rivero; Shujun Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: EEG; ECG; Deep learning; Transformer; chemistry; biology; etc.)
49	Exploring Synthesizable Chemical Space with Iterative Pathway Refinements Authors: Seul Lee; Karsten Kreis; Srimukh Prasad Veccham; Meng Liu; Danny Reidenbach; Saee Gopal Paliwal; Weili Nie; Arash Vahdat Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: drug discovery; molecule generation; synthesizable molecule design; chemistry; biology; etc.)
50	Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction Authors: Zhao Yang; Yi Duan; Jiwei Zhu; Ying Ba; Chuan Cao; Bing Su Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: dna language model; gene expression prediction; multimodal information integration; causal intervention; chemistry; biology; etc.)
51	FALCON: Few-step Accurate Likelihoods for Continuous Flows Authors: Danyal Rehman; Tara Akhound-Sadegh; Artem Gazizov; Yoshua Bengio; Alexander Tong Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: Generative Models; Flow Matching; Boltzmann Generators; AI for Science; chemistry; biology; etc.)
52	Fast training of accurate physics-informed neural networks without gradient descent Authors: Chinmay Datar; Taniya Kapoor; Abhishek Chandra; Qing Sun; Erik Lien Bolager; Iryna Burak; Anna Veselovska; Massimo Fornasier; Felix Dietrich Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: physics-informed neural networks; extreme learning machines; random features; partial differential equations; optimization; training; causality; neural PDE sol…
53	Information Shapes Koopman Representation Authors: Xiaoyuan Cheng; Wenxuan Yuan; Yiming Yang; Yuanzhao Zhang; Sibo Cheng; Yi He; Zhuo Sun Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: Koopman Operator; Latent subspace reconstruction; representation for physical systems; chemistry; biology; etc.)
54	RealPDEBench: A Benchmark for Complex Physical Systems with Real-World Data Authors: Peiyan Hu; Haodong Feng; Hongyuan Liu; Tongtong Yan; Wenhao Deng; Tianrun Gao; Rong Zheng; Haoren Zheng; Chenglei Yu; Chuanrui Wang; Kaiwen Li; Zhi-Ming Ma; Dezhi Zhou; Xingcai Lu… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: complex physical system; PDE; benchmark; real-world data; prediction; chemistry; biology; etc.)
55	Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute Authors: Kieran Didi; Zuobai Zhang; Guoqing Zhou; Danny Reidenbach; Zhonglin Cao; Sooyoung Cha; Tomas Geffner; Christian Dallago; Jian Tang; Michael M. Bronstein; Martin Steinegger; Emine… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: binder design; protein design; flow matching; hallucination; inference-time scaling; generative modeling; diffusion models; chemistry; biology; etc.)
56	mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules Authors: Carl Edwards; Chi Han; Gawon Lee; Thao Nguyen; Sara Szymkuć; Chetan Kumar Prasad; Bowen Jin; Jiawei Han; Ying Diao; Ge Liu; Hao Peng; Bartosz Andrzej Grzybowski; Martin D. Burke;… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: molecule-language multimodality; language model; molecule tokenization; molecule generation; chemistry; biology; etc.)
57	Compositional Diffusion with Guided search for Long-Horizon Planning Authors: Utkarsh Aashu Mishra; David He; Yongxin Chen; Danfei Xu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: Diffusion Models; Compositional Diffusion; Goal-directed Planning; autonomy; planning
58	Differentiable Model Predictive Control on the GPU Authors: Emre Adabag; Marcus Greiff; John Subosits; Thomas Jonathan Lew Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: differentiable optimization; model predictive control; optimal control; gpu-accelerated optimization; reinforcement learning; imitation learning; robotics; aut…
59	Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search Authors: Zhiyu Mou; Yiqin Lv; Miao Xu; Cheems Wang; Yixiu Mao; Jinghao Chen; Qichen Ye; Chao Li; Rongquan Bai; Chuan Yu; Jian Xu; Bo Zheng Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: auto-bidding; offline reinforcement learning; generative decision making; autonomy; planning
60	MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Models for Embodied Task Planning Authors: Yuanchen Ju; Yongyuan Liang; Yen-Jen Wang; Gireesh Nandiraju; Yuanliang Ju; Seungjae Lee; Qiao Gu; Elvis Hsieh; Furong Huang; Koushil Sreenath Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: Scene Graph; Task Planning; Spatial Understanding; Mobile Manipulation; autonomy; planning
61	Rodrigues Network for Learning Robot Actions Authors: Jialiang Zhang; Haoran Geng; Yang You; Congyue Deng; Pieter Abbeel; Jitendra Malik; Leonidas Guibas Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: Robot learning; Action understanding; Neural architecture; autonomy; planning
62	Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks Authors: Songyao Jin; Biwei Huang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Oral Keywords: Hawkes processes; causal discovery; latent subprocess model; structure learning; time series
63	Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning Authors: Haoyue Dai; Immanuel Albrecht; Peter Spirtes; Kun Zhang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Oral Keywords: causal discovery; latent variables; equivalence; rank constraints; linear non-Gaussian models; cycles
64	$PhyWorldBench$: A Comprehensive Evaluation of Physical Realism in Text-to-Video Models Authors: Jing Gu; Xian Liu; Yu Zeng; Ashwin Nagarajan; Fangrui Zhu; Daniel Hong; Yue Fan; Qianqi Yan; Kaiwen Zhou; Ming-Yu Liu; Xin Eric Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Video Generation; Video Evaluation
65	Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents Authors: Yueqi Song; Ketan Ramaneti; Zaid Sheikh; Ziru Chen; Boyu Gou; Tianbao Xie; Yiheng Xu; Danyang Zhang; Apurva Gandhi; Fan Yang; Joseph Liu; Tianyue Ou; Zhihao Yuan; Frank F. Xu; Shu… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: agent; training; standardization
66	AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite Authors: Jonathan Bragg; Mike D'Arcy; Nishant Balepur; Dan Bareket; Bhavana Dalvi Mishra; Sergey Feldman; Dany Haddad; Jena D. Hwang; Peter Jansen; Varsha Kishore; Bodhisattwa Prasad Majum… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Agents; evaluation; benchmarks; scientific research
67	BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation via Lens of Dynamic Interactions Authors: Nan Huo; Xiaohan Xu; Jinyang Li; Per Jacobsson; Shipei Lin; Bowen Qin; Binyuan Hui; Xiaolong Li; Ge Qu; Shuzheng Si; Linheng Han; Edward Alexander; Xintong Zhu; Rui Qin; Ruihan Yu… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Interactive; Text-to-SQL; LLM; Code Generation
68	Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models Authors: Bartłomiej Marek; Lorenzo Rossi; Vincent Hanke; Xun Wang; Michael Backes; Franziska Boenisch; Adam Dziedzic Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: privacy; llm; adaptations; auditing; differential privacy
69	Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training Authors: Pierre-Carl Langlais; Pavel Chizhov; Catherine Arnett; Carlos Rosas Hinostroza; Mattia Nee; Eliot Krzysztof Jones; Irène Girard; David Mach; Anastasia Stasenko; Ivan P. Yamshchikov Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: dataset; pre-training; large language models; open data; open science; multilingual
70	CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answering Authors: Yahan Li; Jifan Yao; John Bosco S. Bunyi; Adam C Frank; Angel Hsing-Chi Hwang; Ruishan Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: large language models; mental health; human evaluation
71	CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale Authors: Zhun Wang; Tianneng Shi; Jingxuan He; Matthew Cai; Jialin Zhang; Dawn Song Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Cybersecurity; AI; Agents
72	EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits Authors: Wayne Chi; Valerie Chen; Ryan Shar; Aditya Mittal; Jenny Liang; Wei-Lin Chiang; Anastasios Nikolas Angelopoulos; Ion Stoica; Graham Neubig; Ameet Talwalkar; Chris Donahue Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: code; real-world; llm; code edit; edit
73	FRABench and UFEval: Unified Fine-grained Evaluation with Task and Aspect Generalization Authors: Shibo Hong; Jiahao Ying; Haiyuan Liang; Mengdi Zhang; Jun Kuang; Jiazheng Zhang; Yixin Cao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Aspect-level Evaluation Dataset; Unified Fine-grained Evaluation
74	Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments Authors: Romain Froger; Pierre Andrews; Matteo Bettini; Amar Budhiraja; Ricardo Silveira Cabral; Virginie Do; Emilien Garreau; Jean-Baptiste Gaya; Hugo Laurençon; Maxime Lecanu; Kunal Malk… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: benchmark; agents; rlvr; multi-agent systems; reasoning; large language models; evaluation; framework
75	LLMs Get Lost In Multi-Turn Conversation Authors: Philippe Laban; Hiroaki Hayashi; Yingbo Zhou; Jennifer Neville Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: multi-turn; underspecification; llm simulation
76	MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science Authors: Ran Xu; Yuchen Zhuang; Yishan Zhong; Yue Yu; Zifeng Wang; Xiangru Tang; Hang Wu; May Dongmei Wang; Peifeng Ruan; Donghan Yang; Tao Wang; Guanghua Xiao; Xin Liu; Carl Yang; Yang Xi… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Medical Reasoning; LLM Agent; Code Generation
77	OpenApps: Simulating Environment Variations to Measure UI Agent Reliability Authors: Karen Ullrich; Jingtong Su; Claudia Shi; Arjun Subramonian; Amir Bar; Ivan Evtimov; Nikolaos Tsilivis; Randall Balestriero; Julia Kempe; Mark Ibrahim Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: reinforcement learning; agents; envrionment; reliability
78	SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents Authors: Gyuhyeon Seo; Jungwoo Yang; Junseong Pyo; Nalim Kim; Jonggeun Lee; Yohan Jo Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: smart home; simulator; language model; language agent; benchmark
79	TTSDS2: Resources and Benchmark for Evaluating Human-Quality Text to Speech Systems Authors: Christoph Minixhofer; Ondrej Klejch; Peter Bell Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: speech synthesis; distributional analysis; objective evaluation
80	TabStruct: Measuring Structural Fidelity of Tabular Data Authors: Xiangjian Jiang; Nikola Simidjievski; Mateja Jamnik Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Tabular data; Tabular data structure; Synthetic data generation
81	WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality Authors: Chunyang Li; Yilun Zheng; Xinting Huang; Tianqing Fang; Jiahao Xu; Lihui Chen; Yangqiu Song; Han Hu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: large language models; evaluation; LLM-as-a-judge; benchmark
82	Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference Authors: Ben Finkelshtein; Silviu Cucerzan; Sujay Kumar Jauhar; Ryen W White Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Large Language Models; Prompting; In-Context Learning; Tool-augmented Reasoning; Text-rich Graphs; including LLMs
83	Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss Authors: Ang Lv; Jin Ma; Yiyuan Ma; Siyuan Qiao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Mixture-of-Experts; Large language models; Auxiliary loss; Expert-router coupling; Expert specialization; including LLMs
84	DepthLM: Metric Depth from Vision Language Models Authors: Zhipeng Cai; Ching-Feng Yeh; Hu Xu; Zhuang Liu; Gregory P. Meyer; Xinjie Lei; Changsheng Zhao; Shang-Wen Li; Vikas Chandra; Yangyang Shi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Metric depth; Vision language model; Spatial reasoning; including LLMs
85	GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning Authors: Lakshya A Agrawal; Shangyin Tan; Dilara Soylu; Noah Ziems; Rishi Khare; Krista Opsahl-Ong; Arnav Singhvi; Herumb Shandilya; Michael J Ryan; Meng Jiang; Christopher Potts; Koushik… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: prompt optimization; natural language; reflection; large language models; agent design; agent discovery; code optimization; compound AI systems; genetic; langu…
86	Generative Universal Verifier as Multimodal Meta-Reasoner Authors: Xinchen Zhang; Xiaoying Zhang; Youbin Wu; Yanbin Cao; Renrui Zhang; Ruihang Chu; Ling Yang; Yujiu Yang; Guang Shi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Multimodal Large Language Models; including LLMs
87	Hallucination Begins Where Saliency Drops Authors: Xiaofeng Zhang; Yuanchao Zhu; Chaochen Gu; Xiaosong Yuan; Qiyan Zhao; Jiawei Cao; Feilong Tang; Sinan Fan; Yaomin Shen; Chen Shen; Hao Tang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LVLMs-Saliency; Saliency-Guided Rejection Sampling; Local Coherence Reinforcement; Hallucination; including LLMs
88	How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining Authors: Kairong Luo; Zhenbo Sun; Haodong Wen; Xinyu Shi; Jiarui Cui; Chenyi Dang; Kaifeng Lyu; Wenguang Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LLM pretraining; Curriculum Learning; Model Weight Average; including LLMs
89	How Reliable is Language Model Micro-Benchmarking? Authors: Gregory Yauney; Shahzaib Saqib Warraich; Swabha Swayamdipta Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: efficient evaluation; meta-evaluation; language models; including LLMs
90	In-Place Test-Time Training Authors: Guhao Feng; Shengjie Luo; Kai Hua; Ge Zhang; Wenhao Huang; Di He; Tianle Cai Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Test-time Training; Large language model; LLM; including LLMs
91	Intrinsic Entropy of Context Length Scaling in LLMs Authors: Jingzhe Shi; Qinwei Ma; Hongyi Liu; Hang Zhao; Jenq-Neng Hwang; Lei Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: context length; intrinsic entropy; including LLMs
92	Latent Speech-Text Transformer Authors: Yen-Ju Lu; Yashesh Gaur; Wei Zhou; Benjamin Muller; Jesus Villalba; Najim Dehak; Luke Zettlemoyer; Gargi Ghosh; Mike Lewis; Srini Iyer; Duc Le Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Speech–Text Models; Latent Patching; Multimodal Alignment; Large Language Models; including LLMs
93	Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training Authors: Junlin Han; Shengbang Tong; David Fan; Yufan Ren; Koustuv Sinha; Philip Torr; Filippos Kokkinos Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LLM pre-training; MLLMs; multi-modality; including LLMs
94	LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning Authors: Yuhao Wu; Yushi Bai; Zhiqiang Hu; Roy Ka-Wei Lee; Juanzi Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LLMs; RL; Long-form generation; including LLMs
95	LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts Authors: Siyuan Wang; Gaokai Zhang; Li Lyna Zhang; Ning Shang; Fan Yang; Dongyao Chen; Mao Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Long Context Reasoning; Reinforcement Learning; including LLMs
96	MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains Authors: Xuying Ning; Dongqi Fu; Tianxin Wei; Mengting Ai; Jiaru Zou; Ting-Wei Li; Hanghang Tong; Yada Zhu; Hendrik Hamann; Jingrui He Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Multimodal; RAG; Vision-Language; Agent; Benchmark; including LLMs
97	Mamba-3: Improved Sequence Modeling using State Space Principles Authors: Aakash Lahoti; Kevin Li; Berlin Chen; Caitlin Wang; Aviv Bick; J Zico Kolter; Tri Dao; Albert Gu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: State Space Models; Mamba; LLMs; Subquadratic Models; including LLMs
98	MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent Authors: Hongli Yu; Tinghong Chen; Jiangtao Feng; Jiangjie Chen; Weinan Dai; Qiying Yu; Ya-Qin Zhang; Wei-Ying Ma; Jingjing Liu; Mingxuan Wang; Hao Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LLM; memory; agent; RLVR; including LLMs
99	Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource Authors: Houyi Li; Ka Man Lo; Shijie Xuyang; Ziqi Wang; Wenzhen Zheng; Haocheng Zhang; Zhao Li; Shuigeng Zhou; Xiangyu Zhang; Daxin Jiang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Large language models (LLM); Pre-training; Mixture-of-Experts (MoE); including LLMs
100	NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale Authors: Chunrui Han; Guopeng Li; Jingwei Wu; Quan Sun; Yan Cai; Yuang Peng; Zheng Ge; Deyu Zhou; Haomiao Tang; Hongyu Zhou; Kenkun Liu; Shu-Tao Xia; Binxing Jiao; Daxin Jiang; Xiangyu Zha… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Generative Models; Autoregressive Models; Diffusion Models; Text-to-image; including LLMs
101	On the Generalization Capacities of MLLMs for Spatial Intelligence Authors: Gongjie Zhang; Wenhao Li; Quanhao Qian; Jiuniu Wang; Deli Zhao; Shijian Lu; Ran Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: 3D Computer Vision; Multimodal Large Language Model; Spatial Intelligence; Embodied AI; including LLMs
102	OpenThoughts: Data Recipes for Reasoning Models Authors: Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu; Zayne Rea Sprague; Ashima Suvarna; Benjamin Fe… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Reasoning; LLM; including LLMs
103	Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks Authors: Taishi Nakamura; Satoki Ishikawa; Masaki Kawamura; Takumi Okamoto; Daisuke Nohara; Jun Suzuki; Rio Yokota Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Mixture of Experts; memorization; reasoning; scaling laws; large language models; including LLMs
104	Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding Authors: Yuxuan Zhou; Fei Huang; Heng Li; Fengyi Wu; Tianyu Wang; jianwei zhang; Junyang Lin; Zhi-Qi Cheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Speculative Decoding; Joint Intractability; Lossless Verification; including LLMs
105	Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling Authors: Shuyang Jiang; Yusheng Liao; Ya Zhang; Yanfeng Wang; Yu Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: efficient reasoning; curriculum sampling with decoupled reward; including LLMs
106	ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models Authors: Federico Danieli; Pau Rodriguez; Miguel Sarabia; Xavier Suau; Luca Zappella Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: RNN; Mamba; SSM; Transformers; Parallelization; Parallel scan; Nonlinear; including LLMs
107	Pre-training under infinite compute Authors: Konwoo Kim; Suhas Kotha; Percy Liang; Tatsunori Hashimoto Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: scaling laws; data efficiency; pre-training; including LLMs
108	RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format Authors: Zhehao Huang; Yuhang Liu; Baijiong Lin; Yixin Lou; Zhengbao He; Hanling Tian; Tao Li; Xiaolin Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Large Reasoning Model; Instruction Following; Model Merging; Null-Space; including LLMs
109	Reasoning with Sampling: Your Base Model is Smarter Than You Think Authors: Aayush Karan; Yilun Du Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LLMs; reasoning; MCMC; sampling; inference-time compute; including LLMs
110	Reducing Belief Deviation in Reinforcement Learning for Active Reasoning of LLM Agents Authors: Deyu Zou; Yongqiang Chen; Jianxiang Wang; Garry YANG; Mufei Li; Qing Da; James Cheng; Pan Li; Yu Gong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Large language models; LLM reasoning; Agentic multi-turn reasoning; including LLMs
111	TROLL: Trust Regions Improve Reinforcement Learning for Large Language Models Authors: Philipp Becker; Niklas Freymuth; Serge Thilges; Fabian Otto; Gerhard Neumann Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: RL from verifiable rewards; Finetuning LLMs; Trust Regions; including LLMs
112	Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation Authors: Zhengbo Wang; Jian Liang; Ran He; Zilei Wang; Tieniu Tan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Large Language Models; Efficient Training; Low-Rank; LoRA; including LLMs
113	The Art of Scaling Reinforcement Learning Compute for LLMs Authors: Fnu Devvrit; Lovish Madaan; Rishabh Tiwari; Rachit Bansal; Sai Surya Duvvuri; Manzil Zaheer; Inderjit S Dhillon; David Brandfonbrener; Rishabh Agarwal Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Scaling; LLMs; Reasoning; including LLMs
114	Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs Authors: Zhiyu Pan; Yizheng Wu; Jiashen Hua; Junyi Feng; Shaotian Yan; Bing Deng; Zhiguo Cao; Jieping Ye Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Reasoning; Vision-Language Models; Contrasting; including LLMs
115	To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models Authors: Eran Malach; Omid Saremi; Sinead Williamson; Arwen Bradley; Aryo Lotfi; Emmanuel Abbe; Joshua M. Susskind; Etai Littwin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: State Space Models; Mamba; Length Generalization; LLM; Transformers; including LLMs
116	Token-Importance Guided Direct Preference Optimization Authors: Ning Yang; Hai Lin; Yibo Liu; Baoliang Tian; Guoqing Liu; Haijun Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LLMs; RLHF; DPO; Human Preference Alignment; Token-lmportance; Triplet Loss; including LLMs
117	Train-before-Test Harmonizes Language Model Rankings Authors: Guanhua Zhang; Ricardo Dominguez-Olmedo; Moritz Hardt Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Evaluation; Large language model; including LLMs
118	Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction–Reasoning Synergy Authors: Haijier Chen; Bo Xu; Shoujian zhang; Haoze Liu; Jiaxuan Lin; Jingrong Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: video-based 3D MLLM; geometric priors; Cross-Task Adapter; Metric Depth calibration; including LLMs
119	Visual Planning: Let's Think Only with Images Authors: Yi Xu; Chengzu Li; Han Zhou; Xingchen Wan; Caiqi Zhang; Anna Korhonen; Ivan Vulić Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: visual planning; including LLMs
120	WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training Authors: Changxin Tian; jiapeng wang; Qian Zhao; Kunlong Chen; Jia Liu; Ziqi Liu; Jiaxin Mao; Xin Zhao; Zhiqiang Zhang; JUN ZHOU Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: llm pre-training; learning rate schedule; checkpoint merging; decay-free approach; including LLMs
121	Why DPO is a Misspecified Estimator and How to Fix It Authors: Aditya Gopalan; Sayak Ray Chowdhury; Debangshu Banerjee Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Direct Preference Optimization; Reinforcement Learning; Reinforcement learning with human feedback; including LLMs
122	Diffusion Language Model Knows the Answer Before It Decodes Authors: Pengxiang Li; Yefan Zhou; Dilxat Muhtar; Lu Yin; Shilin Yan; Li Shen; Yi Liang; Soroush Vosoughi; Shiwei Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: diffusion language model; discrete
123	DiffusionNFT: Online Diffusion Reinforcement with Forward Process Authors: Kaiwen Zheng; Huayu Chen; Haotian Ye; Haoxiang Wang; Qinsheng Zhang; Kai Jiang; Hang Su; Stefano Ermon; Jun Zhu; Ming-Yu Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Diffusion Models; Reinforcement Learning; Flow Matching
124	EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning Authors: Xuan Ju; Tianyu Wang; Yuqian Zhou; He Zhang; Qing Liu; Nanxuan Zhao; Zhifei Zhang; Yijun Li; Yuanhao Cai; Shaoteng Liu; Daniil Pakhomov; Zhe Lin; Soo Ye Kim; Qiang Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Video Editing; Content Generation; Artificial Intelligence
125	Energy-Based Transformers are Scalable Learners and Thinkers Authors: Alexi Gladstone; Ganesh Nanduru; Md Mofijul Islam; Peixuan Han; Hyeonjeong Ha; Aman Chadha; Yilun Du; Heng Ji; Jundong Li; Tariq Iqbal Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Energy-Based Models; System 2 Thinking; Reasoning; Verification; Scaling; Transformers; Generative Modeling
126	FlashWorld: High-quality 3D Scene Generation within Seconds Authors: Xinyang Li; Tengfei Wang; Zixiao Gu; Shengchuan Zhang; Chunchao Guo; Liujuan Cao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: 3D Scene Generation; Multi-view Diffusion Models; World Models; Distribution Matching Distillation
127	GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models Authors: Peter Holderrieth; Uriel Singer; Tommi Jaakkola; Ricky T. Q. Chen; Yaron Lipman; Brian Karrer Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Flow Matching; Diffusion Models; Reward Alignment; Reward Adaptation; Inference-time scaling; Feynman-Kac Steering; Markov transitions; Sampling methods
128	Generative Human Geometry Distribution Authors: Xiangjun Tang; Biao Zhang; Peter Wonka Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: 3D Generation; Human Generation; Geometry Encoding
129	Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer Authors: Tao Ren; Zishi Zhang; Jinyang Jiang; Zehao Li; Shentao Qin; Yi Zheng; Guanghao Li; Qianyou Sun; Yan Li; Jiafeng Liang; Xinping Li; Yijie Peng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: diffusion model; post-training; stochastic gradient estimation
130	InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression Authors: Haotian Ye; Qiyuan He; Jiaqi Han; Puheng Li; Jiaojiao Fan; Zekun Hao; Fitsum Reda; Yogesh Balaji; Huayu Chen; Sheng Liu; Angela Yao; James Zou; Stefano Ermon; Haoxiang Wang; Ming-… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: discrete tokenization; video representation; eficiency; information theory
131	Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers Authors: Shikang Zheng; Guantao Chen; Qinming Zhou; Yuqi Lin; Lixuan He; Chang Zou; Peiliang Cai; Jiacheng Liu; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Generative models; Efficient ML; Diffusion Transformer Acceleration; Feature Caching
132	Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation Authors: Zhuoyang Zhang; Luke J. Huang; Chengyue Wu; Shang Yang; Kelly Peng; Yao Lu; Song Han Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Efficient Autoregressive Image Generation; Parallel Decoding
133	Monocular Normal Estimation via Shading Sequence Estimation Authors: Zongrui Li; Xinhua Ma; Minghui Hu; Yunqing Zhao; Yingchen Yu; Qian Zheng; Chang Liu; Xudong Jiang; Song Bai Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Video Diffusion Model; Shading Estimation; Single-view Normal Estimation
134	MotionStream: Real-Time Video Generation with Interactive Motion Controls Authors: Joonghyuk Shin; Zhengqi Li; Richard Zhang; Jun-Yan Zhu; Jaesik Park; Eli Shechtman; Xun Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Interactive Video Generation; Motion Control; Real-Time Generation; Causal Generation
135	MrRoPE: Mixed-radix Rotary Position Embedding Authors: Qingyuan Tian; Wenhong Zhu; Xiaoran Liu; Xiaofeng Wang; Rui Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: transformers; nlp; llms; context window extension; attention; rotary embedding
136	Neon: Negative Extrapolation From Self-Training Improves Image Generation Authors: Sina Alemohammad; Zhangyang Wang; Richard Baraniuk Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Generative Models; Self-Improvement; Weight Merging; Image Generation
137	Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization Authors: Jatan Shrestha; Santeri Heiskanen; Kari Hepola; Severi Rissanen; Pekka Jääskeläinen; Joni Pajarinen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Multi-Objective Optimization; Conditional Diffusion Models
138	Partition Generative Modeling: Masked Modeling Without Masks Authors: Justin Deschenaux; Lan Tran; Caglar Gulcehre Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: masked generative modeling; discrete diffusion; masked diffusion language modeling; diffusion language modeling
139	Planner Aware Path Learning in Diffusion Language Models Training Authors: Fred Zhangzhi Peng; Zachary Bezemek; Jarrid Rector-Brooks; Shuibai Zhang; Michael M. Bronstein; Anru Zhang; Alexander Tong; Joey Bose Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Diffusion Language Models; Discrete Diffusion; Diffusion Models; code generation; protein generation; text generation
140	Quotient-Space Diffusion Models Authors: Yixian Xu; Yusong Wang; Shengjie Luo; Kaiyuan Gao; Tianyu He; Di He; Chang Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Diffusion Models; Generative Modeling; Geometric Deep Learning; Molecular Structure Generation
141	SAFETY-GUIDED FLOW (SGF): A UNIFIED FRAMEWORK FOR NEGATIVE GUIDANCE IN SAFE GENERATION Authors: Mingyu Kim; Young-Heon Kim; Mijung Park Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Safe generation; flow matching; control barrier functions
142	SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer Authors: Junsong Chen; Yuyang Zhao; Jincheng YU; Ruihang Chu; Junyu Chen; Shuai Yang; Xianbang Wang; Yicheng Pan; Daquan Zhou; Huan Ling; Haozhe Liu; Hongwei Yi; Hao Zhang; Muyang Li; Yuka… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Video Diffusion Model
143	Stable Video Infinity: Infinite-Length Video Generation with Error Recycling Authors: Wuyang Li; Wentao Pan; Po-Chien Luan; Yang Gao; Alexandre Alahi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Infinite-Length Video Generation; Error Accumulation
144	Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator Authors: Hyojun Go; Dominik Narnhofer; Goutam Bhat; Prune Truong; Federico Tombari; Konrad Schindler Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Text-to-3D generation; Video Diffusion Model; 3D Gaussian Splatting; Generation
145	The Spacetime of Diffusion Models: An Information Geometry Perspective Authors: Rafal Karczewski; Markus Heinonen; Alison Pouplin; Søren Hauberg; Vikas K Garg Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: diffusion models; information geometry
146	ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models Authors: Akshat Ramachandran; Marina Neseem; Charbel Sakr; Rangharajan Venkatesan; Brucek Khailany; Tushar Krishna Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Large Reasoning Models; KV Cache Compression; Quantization; Eviction; Sparsity; Thought-Aware Compression
147	Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs) Authors: Nikita Maksimovich Kornilov; David Li; Tikhon Mavrin; Aleksei Leonov; Nikita Gushchin; Evgeny Burnaev; Iaroslav Sergeevich Koshelev; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Diffusion models; Flow Matching; Acceleration of diffusion/flow models; Distillation of diffusion/flow models
148	World-In-World: World Models in a Closed-Loop World Authors: Jiahan Zhang; Muqing Jiang; Nanru Dai; TaiMing Lu; Arda Uzunoglu; Shunchi Zhang; Yana Wei; Jiahao Wang; Vishal M. Patel; Paul Pu Liang; Daniel Khashabi; Cheng Peng; Rama Chellappa… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: world models; video generation; embodied AI; generative models
149	A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration Authors: Rohit Jena; Vedant Zope; Pratik Chaudhari; James Gee Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Oral Keywords: image registration; distributed optimization; CUDA kernels; neuroanatomy; software libraries; hardware; systems; etc.
150	Speculative Actions: A Lossless Framework for Faster AI Agents Authors: Naimeng Ye; Arnav Ahuja; Georgios Liargkovas; Yunan Lu; Kostis Kaffes; Tianyi Peng Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Oral Keywords: AI Agents; Speculative Decoding; Parallel Execution; Agentic Serving; Agentic Simulation; software libraries; hardware; systems; etc.
151	TileLang: Bridge Programmability and Performance in Modern Neural Kernels Authors: Lei Wang; Yu Cheng; Yining Shi; Zhiwen Mo; Zhengju Tang; Wenhao Xie; Tong Wu; Lingxiao Ma; Yuqing Xia; Jilong Xue; Fan Yang; Zhi Yang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Oral Keywords: compiler; AI; programming model; software libraries; hardware; systems; etc.
152	Addressing divergent representations from causal interventions on neural networks Authors: Satchel Grant; Simon Jerome Han; Alexa R. Tartaglini; Christopher Potts Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: activation patching; mech interp; DAS; representational divergence; faithfulness
153	Exploratory Causal Inference in SAEnce Authors: Tommaso Mencattini; Riccardo Cadei; Francesco Locatello Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: Randomized Controlled Trials; Sparse Auto Encoder; Interpretability; Causal Inference
154	From Markov to Laplace: How Mamba In-Context Learns Markov Chains Authors: Marco Bondaschi; Nived Rajaraman; Xiuying Wei; Razvan Pascanu; Caglar Gulcehre; Michael Gastpar; Ashok Vardhan Makkuva Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: State-space models; Markov chains; In-context learning; Laplacian smoothing
155	How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability Authors: Shawn Im; Changdae Oh; Zhen Fang; Sharon Li Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: Semantic associations; Interpretability; LLM
156	Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability Authors: Usha Bhalla; Alex Oesterling; Claudio Mayrink Verdun; Himabindu Lakkaraju; Flavio Calmon Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: Interpretability; Dictionary Learning; Machine Learning; Large Language Models
157	Temporal superposition and feature geometry of RNNs under memory demands Authors: Pratyaksh Sharma; Alexandra Maria Proca; Lucas Prieto; Pedro A. M. Mediano Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: RNNs; superposition; representational geometry; features; capacity; memory demands
158	The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology Authors: Aideen Fay; Inés García-Redondo; Qiquan Wang; Haim Dubossarsky; Anthea Monod Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: Persistent Homology; Interpretability; Topological Data Analysis; Representation Geometry; Large Language Models; AI Security; Adversarial Attacks; Sparse Auto…
159	Verifying Chain-of-Thought Reasoning via Its Computational Graph Authors: Zheng Zhao; Yeskendir Koishekenov; Xianjun Yang; Naila Murray; Nicola Cancedda Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: Mechanistic Interpretability; Chain-of-Thought Reasoning; Attribution Graphs
160	Visual symbolic mechanisms: Emergent symbol processing in Vision Language Models Authors: Rim Assouel; Declan Iain Campbell; Yoshua Bengio; Taylor Whittington Webb Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: visual object binding; vision-langue model; symbolic reasoning; interpretability
161	Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering Authors: Wei Ju; Siyu Yi; Kangjie Zheng; Yifan Wang; Ziyue Qiao; Li Shen; Yongdao Zhou; Xiaochun Cao; Jiancheng Lv Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: Graph Neural Networks; Graph Clustering; Representation Learning; Compactness Learning; Consistency Learning
162	Exchangeability of GNN Representations with Applications to Graph Retrieval Authors: Kartik Nair; Indradyumna Roy; Soumen Chakrabarti; Anirban Dasgupta; Abir De Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: GNN; Locality sensitive hashing
163	Modality-free Graph In-context Alignment Authors: Wei Zhuo; Siqiang Luo Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: Graph foundation model; In-context learning; Pretraining
164	Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models Authors: Li Sun; Zhenhao Huang; Silei Chen; Lanxu Yang; Junda Ye; Sen Su; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: Multi-domain graph pre-training; graph neural network; graph foundation model; Riemannian geometry
165	One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced Prototype Authors: Guanjun Wang; Binwu Wang; Jiaming Ma; Zhengyang Zhou; Pengkun Wang; Xu Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: Graph classification; graph imbalance learning; graph neural networks; Graph data mining; long-tail learning
166	CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data Authors: Shifeng Xie; Vasilii Feofanov; Jianfeng Zhang; Themis Palpanas; Ievgen Redko Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Oral Keywords: Time Series Foundation Model; Time Series Classification
167	A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization Authors: Hideaki Kim; Tomoharu Iwata Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Hawkes processes; kernel methods; representer theorem; point processes; least squares loss
168	Characterizing the Discrete Geometry of ReLU Networks Authors: Blake B. Gaines; Jinbo Bi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Polyhedrons; Geometry; ReLU; Activations
169	Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data Authors: Guillaume Braun; Bruno Loureiro; Minh Ha Quang; Masaaki Imaizumi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: scaling laws; gradient flow; power-law spectrum; phase retrieval; anisotropic data; learning dynamics
170	InfoNCE Induces Gaussian Distribution Authors: Roy Betser; Eyal Gofer; Meir Yossef Levi; Guy Gilboa Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Contrastive learning; Gaussian distribution; InfoNCE
171	Non-Asymptotic Analysis of (Sticky) Track-and-Stop Authors: Riccardo Poiani; Martino Bernasconi; Andrea Celli Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Multi-Armed Bandit Theory; Pure Exploration; Fixed-Confidence
172	Online Learning and Equilibrium Computation with Ranking Feedback Authors: Mingyang Liu; Yongshan Chen; Zhiyuan Fan; Gabriele Farina; Asuman E. Ozdaglar; Kaiqing Zhang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Online Learning; Equilibrium Computation; Human Feedback
173	Overparametrization bends the landscape: BBP transitions at initialization in simple Neural Networks Authors: Brandon Livio Annesi; Dario Bocchi; Chiara Cammarota Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Overparametrization; Loss landscapes; Signal recovery; High-dimensional learning
174	Quantitative Bounds for Length Generalization in Transformers Authors: Zachary Izzo; Eshaan Nichani; Jason D. Lee Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: transformers; theory; length generalization
175	Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime Authors: Leonardo Defilippis; Yizhou Xu; Julius Girardin; Vittorio Erba; Emanuele Troiani; Lenka Zdeborová; Bruno Loureiro; Florent Krzakala Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Scaling laws; Neural networks; LASSO and matrix compressed sensing; Random matrix theory; Approximate message passing; High dimensional Statistics
176	Sequences of Logits Reveal the Low Rank Structure of Language Models Authors: Noah Golowich; Allen Liu; Abhishek Shetty Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Large language models; low-rank structure
177	The Coverage Principle: How Pre-Training Enables Post-Training Authors: Fan Chen; Audrey Huang; Noah Golowich; Sadhika Malladi; Adam Block; Jordan T. Ash; Akshay Krishnamurthy; Dylan J Foster Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: language models; reinforcement learning; test-time scaling; statistical learning theory
178	Premise Selection for a Lean Hammer Authors: Thomas Zhu; Joshua Clune; Jeremy Avigad; Albert Q. Jiang; Sean Welleck Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Oral Keywords: premise selection; interactive theorem proving; automated reasoning; contrastive learning; logic & formal reasoning; etc.)
179	Transformers are Inherently Succinct Authors: Pascal Bergsträßer; Ryan Cotterell; Anthony Widjaja Lin Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Oral Keywords: Transformers; complexity; expressivity; automata; LTL; logic & formal reasoning; etc.)
180	AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic Algorithms Authors: Zhenxing Xu; Yizhe Zhang; Weidong Bao; Hao Wang; Ming Chen; Haoran Ye; Wenzheng Jiang; Hui Yan; Ji Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: LLMs; Optimization; Metaheuristic algorithm; Automatic Algorithm Design
181	Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces Authors: Bryon Tjanaka; Henry Chen; Matthew Christopher Fontaine; Stefanos Nikolaidis Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: quality diversity optimization; black-box optimization; derivative-free optimization; latent space exploration
182	Efficient Resource-Constrained Training of Transformers via Subspace Optimization Authors: Le-Trung Nguyen; Enzo Tartaglione; Van-Tam Nguyen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: Deep Learning; Computer Vision; Compression; Low rank
183	Learning to Segment for Vehicle Routing Problems Authors: Wenbin Ouyang; Sirui Li; Yining Ma; Cathy Wu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: Learning-Guided Optimization; Vehicle Routing Problem
184	Non-Convex Federated Optimization under Cost-Aware Client Selection Authors: Xiaowen Jiang; Anton Rodomanov; Sebastian U Stich Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: Client Sampling; SAGA; Second-order Similarity; Composite Gradient Method; Variance Reduction
185	On The Surprising Effectiveness of a Single Global Merging in Decentralized Learning Authors: Tongtian Zhu; Tianyu Zhang; Mingze Wang; Zhanpeng Zhou; Can Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: Decentralized Learning; Model Merging; Training Dynamics; Distributed Training
186	Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers Authors: Panagiotis D. Grontas; Antonio Terpin; Efe C. Balta; Raffaello D'Andrea; John Lygeros Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: hard constrained neural networks; network architecture; implicit layers; operator splitting; optimization
187	Task-free Adaptive Meta Black-box Optimization Authors: Chao Wang; Licheng Jiao; Lingling Li; Jiaxuan Zhao; Guanchun Wang; Fang Liu; Shuyuan Yang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: Meta Black-box Optimization; Evolutionary Algorithms
188	The Polar Express: Optimal Matrix Sign Methods and their Application to the Muon Algorithm Authors: Noah Amsel; David Persson; Christopher Musco; Robert M. Gower Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: polar decomposition; matrix sign; numerical linear algebra; muon; optimization; approximation theory
189	Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention Authors: Haiquan Qiu; Quanming Yao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: low-precision training; transformer; attention
190	HATSolver: Learning Gröbner Bases with Hierarchical Attention Transformers Authors: Mohamed Malhou; Ludovic Perret; Kristin E. Lauter Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Oral Keywords: Hierarchical Attention Transformer; Groebner Basis; Symbolic Computation; Multivariate Polynomial Equations; none of the above)
191	Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport Authors: Harry Amad; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Oral Keywords: hyperparameter; optimal transport; trajectory inference; manifold learning; interpolation; none of the above)
192	It's All Just Vectorization: einx, a Universal Notation for Tensor Operations Authors: Florian Fervers; Sebastian Bullinger; Christoph Bodensteiner; Michael Arens Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Oral Keywords: Tensor notation; tensor programming; einx; einsum; einops; none of the above)
193	On the Reasoning Abilities of Masked Diffusion Language Models Authors: Anej Svete; Ashish Sabharwal Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Oral Keywords: diffusion language models; formal language theory; boolean circuits; expressivity; transformers; masked diffusion models; chain of thought; looped transformers…
194	Probabilistic Kernel Function for Fast Angle Testing Authors: Kejing Lu; Chuan Xiao; Yoshiharu Ishikawa Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Oral Keywords: Randomized algorithm; Locality Sensitive Hashing; Directional statistics; none of the above)
195	Softmax Transformers are Turing-Complete Authors: Hongjian Jiang; Michael Hahn; Georg Zetzsche; Anthony Widjaja Lin Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Oral Keywords: soft attention; FLaNN; recursively enumerable; Turing-complete; formal languages; none of the above)
196	Conformal Robustness Control: A New Strategy for Robust Decision Authors: Yang Hu; Jieren Tan; Changliang Zou; Yajie Bao; Haojie Ren Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: Conformal prediction; Contextual robust optimization; Coverage; Decision robustness; variational inference; sampling; UQ; etc.)
197	Global Resolution: Optimal Multi-Draft Speculative Sampling via Convex Optimization Authors: Rahul Krishna Thomas; Arka Pal Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: LLMs; Inference; Optimal Transport; Speculative Decoding; variational inference; sampling; UQ; etc.)
198	RefineStat: Efficient Exploration for Probabilistic Program Synthesis Authors: Madhav Kanda; Shubham Ugare; Sasa Misailovic Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: Probabilistic Programming; Constrained Generation; variational inference; sampling; UQ; etc.)
199	Structured Flow Autoencoders: Learning Structured Probabilistic Representations with Flow Matching Authors: Yidan Xu; Yixin Wang; XuanLong Nguyen Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: Flow Matching; Probabilistic Model; Representation Learning; Probabilistic Graphical Model; Autoencoder; variational inference; sampling; UQ; etc.)
200	p-less Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding Authors: Runyan Tan; Shuang Wu; Phillip Howard Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: LLM; decoding; sampling; truncation; inference; information-theoretic; information-theory; hyperparameterless; hyperparameter-free; entropy; entropy-aware; dis…
201	Exploratory Diffusion Model for Unsupervised Reinforcement Learning Authors: Chengyang Ying; Huayu Chen; Xinning Zhou; Zhongkai Hao; Hang Su; Jun Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: reinforcement learning; diffusion policy; unsupervised reinforcement learning; exploration
202	Mastering Sparse CUDA Generation through Pretrained Models and Deep Reinforcement Learning Authors: Yaoyu Wang; Hankun Dai; Zhidong Yang; Junmin Xiao; Guangming Tan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Reinforcement Learning; CUDA Code Generation; High-Performance Computing
203	Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation Authors: Guojian Zhan; Letian Tao; Pengcheng Wang; Yixiao Wang; Yuxin Chen; Yiheng Li; Hongyang Li; Masayoshi Tomizuka; Shengbo Eben Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Reinforcement learning; Generative policy
204	Optimistic Task Inference for Behavior Foundation Models Authors: Thomas Rupf; Marco Bagatella; Marin Vlastelica; Andreas Krause Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Behavior Foundation Models; Zero-Shot Reinforcement Learning; Deep Reinforcement Learning; Fast Adaptation
205	Q-RAG: Long Context Multi‑Step Retrieval via Value‑Based Embedder Training Authors: Artyom Sorokin; Nazar Buzun; Aleksandr Anokhin; Egor KONSTANTINOVICH VEDERNIKOV; Petr Anokhin; Mikhail Burtsev; Evgeny Burnaev Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Reinforcement Learning; RL; QA; Long-context; RAG; NLP
206	Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment Authors: Shijie Zhao; Xuanyu Zhang; Weiqi Li; Junlin Li; Li zhang; Tianfan Xue; Jian Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Image Quality Assessment; Low Level Vision; Multimodal Large Language Model
207	TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning Authors: Marco Bagatella; Matteo Pirotta; Ahmed Touati; Alessandro Lazaric; Andrea Tirinzoni Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: zero-shot reinforcement learning; unsupervised reinforcement learning; self-predictive representations; joint embedding predictive architecture
208	Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms? Authors: Zijian Zhao; Sen Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Reinforcement Learning; Order Dispatching; Ride Sharing
209	FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability–Plasticity Tradeoff Authors: Isaac Han; Sangyeon Park; Seungwon Oh; Donghu Kim; Hojoon Lee; KyungJoong Kim Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Oral Keywords: stability-plasticity tradeoff; continual learning; meta learning; and lifelong learning
210	High-dimensional Analysis of Synthetic Data Selection Authors: Parham Rezaei; Filip Kovačević; Francesco Locatello; Marco Mondelli Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Oral Keywords: high dimensional regression; empirical risk minimization; synthetic data; generative models; meta learning; and lifelong learning
211	Huxley-G"odel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine Authors: Wenyi Wang; Piotr Piękos; Li Nanbo; Firas Laakom; Yimeng Chen; Mateusz Ostaszewski; Mingchen Zhuge; Jürgen Schmidhuber Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Oral Keywords: Self-Improvement; Coding Agents; G"odel Machine; meta learning; and lifelong learning
212	Plug-and-Play Compositionality for Boosting Continual Learning with Foundation Models Authors: Weiduo Liao; Fei Han; Hisao Ishibuchi; Qingfu Zhang; Ying Wei Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Oral Keywords: Continual learning; meta learning; and lifelong learning
213	AnyUp: Universal Feature Upsampling Authors: Thomas Wimmer; Prune Truong; Marie-Julie Rakotosaona; Michael Oechsle; Federico Tombari; Bernt Schiele; Jan Eric Lenssen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: feature upsampling; representation learning; self-supervised; semi-supervised; and supervised representation learning
214	Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective Authors: Yi-Ge Zhang; Jingyi Cui; Qiran Li; Yisen Wang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: self-supervised; semi-supervised; and supervised representation learning
215	Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation Authors: Feng Hong; Jiangchao Yao; Yifei Shen; Dongsheng Li; Ya Zhang; Yanfeng Wang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: Imbalance; Diffusion Models; self-supervised; semi-supervised; and supervised representation learning
216	LLM DNA: Tracing Model Evolution via Functional Representations Authors: Zhaomin Wu; Haodong Zhao; Ziyang Wang; Jizhou Guo; Qian Wang; Bingsheng He Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: Large Language Models; Functional Representations; Model Fingerprinting; Semantic Embeddings; Model Evolution; Model Lineage; Phylogenetic Trees; Dimensionalit…
217	Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling Authors: Tal Daniel; Carl Qi; Dan Haramati; Amir Zadeh; Chuan Li; Aviv Tamar; Deepak Pathak; David Held Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: World Model; Self-supervised; unsupervised; object-centric; video prediciton; video generation; imitation learning; latent particles; vae; self-supervised; sem…
218	Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment Authors: Haobin Li; Yijie Lin; Peng Hu; Mouxing Yang; Xi Peng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: Noisy correspondence; Multi-modal entity alignment.; self-supervised; semi-supervised; and supervised representation learning
219	Navigating the Latent Space Dynamics of Neural Models Authors: Marco Fumero; Luca Moschella; Emanuele Rodolà; Francesco Locatello Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: Representation learning; latent vector field; autoencoders; memorization and generalization; attractor; self-supervised; semi-supervised; and supervised repres…
220	On the Wasserstein Geodesic Principal Component Analysis of probability measures Authors: Nina Vesseron; Elsa Cazelles; Alice Le Brigant; Klein Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: wasserstein PCA; optimal transport; deep learning; self-supervised; semi-supervised; and supervised representation learning
221	Revela: Dense Retriever Learning via Language Modeling Authors: Fengyu Cai; Tong Chen; Xinran Zhao; Sihao Chen; Hongming Zhang; Tongshuang Wu; Iryna Gurevych; Heinz Koeppl Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: Information Retrieval; Unsupervised Learning; self-supervised; semi-supervised; and supervised representation learning
222	TRACE: Your Diffusion Model is Secretly an Instance Edge Detector Authors: Sanghyun Jo; Ziseok Lee; Wooyeol Lee; Jonghyun Choi; Jaesik Park; Kyungsu Kim Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: diffusion; unsupervised instance segmentation; weakly-supervised panoptic segmentation; inference dynamics; attention; self-supervised; semi-supervised; and su…
223	Uncover Underlying Correspondence for Robust Multi-view Clustering Authors: Haochen Zhou; Guofeng Ding; Mouxing Yang; Peng Hu; Yijie Lin; Xi Peng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: Multi-view clustering; Noisy Correspondence; self-supervised; semi-supervised; and supervised representation learning
224	WAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM Authors: Changli Tang; Qinfan Xiao; Ke Mei; Tianyi Wang; Fengyun Rao; Chao Zhang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: audio-visual embeddings; multimodal LLMs; video retrieval; self-supervised; semi-supervised; and supervised representation learning
225	A Fair Bayesian Inference through Matched Gibbs Posterior Authors: Jihu Lee; Kunwoong Kim; Sehyun Park; Insung Kong; Dongyoon Yang; Yongdai Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Algorithmic fairness; Bayesian inference; Gibbs posterior; fairness; safety; privacy; and societal considerations
226	A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments Authors: Manuel Cherep; Chengtian Ma; Abigail Xu; Maya Shaked; Patricia Maes; Nikhil Singh Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Agents; Agentic AI; Behavior; Choices; Alignment; Safety; Benchmark; fairness; safety; privacy; and societal considerations
227	A Rich Knowledge Space for Scalable Deepfake Detection Authors: Inho Jung; Hyeongjun Choi; Binh M. Le; Hohyun Na; Simon S. Woo Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Deepfake Detection; Media Forensics; Multi-modal Learning; fairness; safety; privacy; and societal considerations
228	A Unified Total Variation Framework for Membrane Potential Perturbation Dynamic Authors: Zhao-Rong Lai; Xiwen Yuan; Ziliang Chen; Liangda Fang; Yongsen Zheng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Membrane potential perturbation dynamic; spiking neural network; total variation; fairness; safety; privacy; and societal considerations
229	A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models Authors: Shihab Aaqil Ahamed; Udaya Sampath K. Perera Miriya Thanthrige; Ranga Rodrigo; Muhammad Haris Khan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Model Calibration; Angular Diversity; Uniformity; Vision-Language Models; CLIP; Prompt Tuning; Test-Time Adaptation; fairness; safety; privacy; and societal co…
230	A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models Authors: Wonje Jeung; Sangyeon Yoon; Yoonjun Cho; Dongjae Jeon; Sangwoo Shin; Hyesoo Hong; Albert No Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Discrete Diffusion; Safety; NLP; fairness; safety; privacy; and societal considerations
231	AEGIS: Adversarial Target-Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models Authors: Fengpeng Li; Kemou Li; Qizhou Wang; Bo Han; Jiantao Zhou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Learning; Prompt Injection Attacks; Adversarial Defending; fairness; safety; privacy; and societal considerations
232	ARMOR: Aligning Secure and Safe Large Language Models via Meticulous Reasoning Authors: Zhengyue Zhao; YingziYingzi Ma; Somesh Jha; Marco Pavone; Patrick McDaniel; Chaowei Xiao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: large language model; reasoning model; safety alignment; fairness; safety; privacy; and societal considerations
233	ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks Authors: Zhaorun Chen; Xun Liu; Mintong Kang; Jiawei Zhang; Minzhou Pan; Shuang Yang; Bo Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: multi-modal red-teaming; multi-modal alignment; agent; safety; adversarial robustness; fairness; safety; privacy; and societal considerations
234	ASGuard: Activation-Scaling Guard to Mitigate Targeted Jailbreaking Attack Authors: Yein Park; Jungwoo Park; Jaewoo Kang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety; Interpretability; Circuit; Multi-Head Attention; Scaling; Jailbreak Guard; fairness; safety; privacy; and societal considerations
235	ASIDE: Architectural Separation of Instructions and Data in Language Models Authors: Egor Zverev; Evgenii Kortukov; Alexander Panfilov; Alexandra Volkova; Rush Tabesh; Sebastian Lapuschkin; Wojciech Samek; Christoph H. Lampert Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: large language models; instruction-data-separation; conditional embedding mechanism; LLM safety; prompt injections; fairness; safety; privacy; and societal con…
236	AWM: Accurate Weight-Matrix Fingerprint for Large Language Models Authors: Boyi Zeng; Lin Chen; Ziwei He; Xinbing Wang; Zhouhan Lin Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: fingerprint; large language models; intellectual property; fairness; safety; privacy; and societal considerations
237	Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols Authors: Mikhail Terekhov; Alexander Panfilov; Daniil Dzenhaliou; Caglar Gulcehre; Maksym Andriushchenko; Ameya Prabhu; Jonas Geiping Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Control; AI Safety; Jailbreaks; Oversight; fairness; safety; privacy; and societal considerations
238	Adaptive Logit Adjustment for Debiasing Multimodal Language Models Authors: Hoin Jung; Junyi Chai; Xiaoqian Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Multimodal Model; Fairness; Image-to-Text; Logit Adjustment; fairness; safety; privacy; and societal considerations
239	Adaptive Social Learning via Mode Policy Optimization for Language Agents Authors: Minzheng Wang; Yongbin Li; Haobo Wang; Xinghua Zhang; Nan Xu; Bingli Wu; Fei Huang; Haiyang Yu; Wenji Mao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Social Intelligence; Large Language Models; Adaptive Social Learning; fairness; safety; privacy; and societal considerations
240	AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models Authors: Zihao Zhu; Xinyu Wu; Gehan Hu; Siwei Lyu; Ke Xu; Baoyuan Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: large reasoning model; safety alignment; chain-of-thought; fairness; safety; privacy; and societal considerations
241	Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models Authors: Liangsheng Liu; Si Chen; Jiamin Wu; Weiwei Feng; Zhixin Cheng; Xiaotian Yin; Wenfei Yang; Tianzhu Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Attacks; Vision-Language Models; Test-time Defense; fairness; safety; privacy; and societal considerations
242	Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks Authors: Mahavir Dabas; Tran Huynh; Nikhil Reddy Billa; Jiachen T. Wang; Peng Gao; Charith Peris; Yao Ma; Rahul Gupta; Ming Jin; Prateek Mittal; Ruoxi Jia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety; Alignment; fairness; safety; privacy; and societal considerations
243	Agentic Reinforced Policy Optimization Authors: Guanting Dong; Hangyu Mao; Kai Ma; Licheng Bao; Yifei Chen; Zhongyuan Wang; Zhongxia Chen; Jiazhen Du; Huiyang Wang; Fuzheng Zhang; Guorui Zhou; Yutao Zhu; Ji-Rong Wen; Zhicheng D… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Agentic Reinforcement Learning; Large Language Model; Agentic Reasoning; Tool-use Alignment; fairness; safety; privacy; and societal considerations
244	Align Once, Benefit Multilingually: Enforcing Multilingual Consistency for LLM Safety Alignment Authors: Yuyan Bu; Xiaohao Liu; ZhaoXing Ren; Yaodong Yang; Juntao Dai Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Multilingual Enhancement; Large Language Models; fairness; safety; privacy; and societal considerations
245	Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges Authors: Hamin Koo; Minseon Kim; Jaehyung Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: large language models; jailbreak attacks; meta-optimization; fairness; safety; privacy; and societal considerations
246	Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems Authors: Keyu Li; Jin Gao; Dequan Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Multi-Agent System; Bias Evaluation; fairness; safety; privacy; and societal considerations
247	Aligner, Diagnose Thyself: A Meta-Learning Paradigm for Fusing Intrinsic Feedback in Preference Alignment Authors: Mengyang Li; Pinlong Zhao; Zhong Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Direct Preference Optimization; fairness; safety; privacy; and societal considerations
248	Aligning Deep Implicit Preferences by Learning to Reason Defensively Authors: Peiming Li; Zhiyuan Hu; Shiyu Li; Xi Chen; Yang Tang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Preference Alignment; Reward Modeling as Reasoning; Process Supervision; fairness; safety; privacy; and societal considerations
249	Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization Authors: Junming Yang; Ning Xu; Biao Liu; Shiqi Qiao; Xin Geng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Model Alignment; Direct Preference Optimization; fairness; safety; privacy; and societal considerations
250	Alignment-Weighted DPO: A principled reasoning approach to improve safety alignment Authors: Mengxuan Hu; Vivek Datla; Anoop Kumar; Zihan Guan; Sheng Li; Alfy Samuel; Daben Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Reasoning; LLM alignment; DPO; fairness; safety; privacy; and societal considerations
251	All Code, No Thought: Language Models Struggle to Reason in Ciphered Language Authors: Shiyuan Guo; Henry Sleight; Fabien Roger Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI safety; chain of thought; LLM; CoT monitoring; fairness; safety; privacy; and societal considerations
252	All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian Splatting Authors: Yan Ren; Shilin Lu; Adams Wai-Kin Kong Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Gaussian Splatting; 3D Steganography; fairness; safety; privacy; and societal considerations
253	AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning Authors: Yi Zhang; An Zhang; XiuYu Zhang; Leheng Sheng; Yuxin Chen; Zhenkai Liang; Xiang Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety Alignment; Reasoning; Reinfocement Learning with Verifiable Reward; fairness; safety; privacy; and societal considerations
254	AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint Authors: Leheng Sheng; Changshuo Shen; Weixiang Zhao; Junfeng Fang; Xiaohao Liu; Zhenkai Liang; Xiang Wang; An Zhang; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Safety; Activation Steering; fairness; safety; privacy; and societal considerations
255	Annotation-Efficient Honesty Alignment via Confidence Elicitation and Calibration Authors: Shiyu Ni; Keping Bi; Jiafeng Guo; Minghao Tang; Jingtong wu; Zengxin Han; Xueqi Cheng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Trustworthy LLMs; Alignment for Honesty; fairness; safety; privacy; and societal considerations
256	Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence Authors: Quoc Minh Nguyen; Trung Le; Jing Wu; Anh Tuan Bui; Mehrtash Harandi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Harmful fine-tuning; LLM; safety alignment; fairness; safety; privacy; and societal considerations
257	Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth Authors: Jiawei Zhang; Andrew Estornell; David D. Baek; Bo Li; Xiaojun Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Any-Depth Alignment; Deep-prefill attacks; Safety token; Inference-time defense; fairness; safety; privacy; and societal considerations
258	AtC: Aggregate-then-Calibrate for Human-centered Assessment Authors: Zejun Xie; Xintong Li; Guang Wang; Desheng Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: human-centered assessment; judgment aggregation; calibration; misspecification; human-AI complementarity; human-AI collaboration; fairness; safety; privacy; an…
259	Attack-Resistant Watermarking for AIGC Image Forensics via Diffusion-based Semantic Deflection Authors: Qingyu Liu; Yitao Zhang; Zhongjie Ba; Chao Shuai; Peng Cheng; Tianhang Zheng; Zhibo Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AIGC copyright protection; Image watermark; Diffusion model; fairness; safety; privacy; and societal considerations
260	Attention Smoothing Is All You Need For Unlearning Authors: Saleh Zare Zade; Xiangyu Zhou; Sijia Liu; Dongxiao Zhu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Model; Large Language Model Unlearning; Self-distillation; Attention Smoothing; fairness; safety; privacy; and societal considerations
261	Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test Authors: Xiaoyuan Zhu; Yaowen Ye; Tianyi Alex Qiu; Hanlin Zhu; Sijun Tan; Ajraf Mannan; Jonathan Michala; Raluca Ada Popa; Willie Neiswanger Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; API auditing; untargeted fingerprinting; fairness; safety; privacy; and societal considerations
262	Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models Authors: yanjiang liu; Shuheng Zhou; Yaojie Lu; Huijia Zhu; Weiqiang Wang; Hongyu Lin; Ben He; Xianpei Han; Le Sun Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: red-teaming; llm safety; attcking; jailbreak; fairness; safety; privacy; and societal considerations
263	Automatic Dialectic Jailbreak: A Framework for Generating Effective Jailbreak Strategies Authors: Jianghai Yu; Yang Zhou; Zihan Zhou; Lingjuan Lyu; Da Yan; Ruoming Jin; Dejing Dou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreak Attacks; Large Language Models; Multi-Objective Game; White-box Jailbreak; Black-box Jailbreak; fairness; safety; privacy; and societal considerations
264	BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs Authors: Junxiao Yang; Jinzhe Tu; Haoran Liu; Xiaoce Wang; Chujie Zheng; Zhexin Zhang; Shiyao Cui; Caishun Chen; Tiantian He; Hongning Wang; Yew-Soon Ong; Minlie Huang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Reasoning Models; Factual Alignment; Knowledge Boundary; fairness; safety; privacy; and societal considerations
265	BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning Authors: Qiusi Zhan; Hyeonjeong Ha; Rui Yang; Sirui Xu; Hanyang Chen; Liangyan Gui; Yu-Xiong Wang; Huan Zhang; Heng Ji; Daniel Kang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: vision-language models; backdoor attack; embodied agent; fairness; safety; privacy; and societal considerations
266	BIRD: Behavior Induction via Representation-structure Distillation Authors: Galen Pogoncheff; Michael Beyeler Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Knowledge Distillation; AI Alignment; Weak-to-strong generalization; fairness; safety; privacy; and societal considerations
267	Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD Authors: Nikita Kalinin; Ryan McKenna; Jalaj Upadhyay; Christoph H. Lampert Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Matrix Factorization; Differential Privacy; Machine Learning; fairness; safety; privacy; and societal considerations
268	Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen! Authors: Zhexin Zhang; Yuhao Sun; Junxiao Yang; Shiyao Cui; yuanchao zhang; Hongning Wang; Minlie Huang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: finetuning data stealing; open-source LLMs; backdoor training; fairness; safety; privacy; and societal considerations
269	Benchmarking Overton Pluralism in LLMs Authors: Elinor Poole-Dayan; Jiayi Wu; Taylor Sorensen; Jiaxin Pei; Michiel A. Bakker Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Pluralism; Overton pluralism; pluralistic alignment; benchmark; fairness; safety; privacy; and societal considerations
270	Beware Untrusted Simulators – Reward-Free Backdoor Attacks in Reinforcement Learning Authors: Ethan Rathbun; Wo Wei Lin; Alina Oprea; Christopher Amato Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Poisoning Attacks; Backdoor Attacks; Reinforcement Learning; Deep Reinforcement Learning; Robotics; fairness; safety; privacy; and societal considerations
271	Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback Authors: Amirhossein Afsharrad; Ruida Zhou; Luca Viano; Sanjay Lall; Mohammad Ghavamzadeh Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: reward modeling; ordinal regression; Likert scale; preference learning; human feedback; RLHF; discrete ordinal regression; Bradley-Terry model; ordinal prefere…
272	Beyond Linear Probes: Dynamic Safety Monitoring for Language Models Authors: James Oldfield; Philip Torr; Ioannis Patras; Adel Bibi; Fazl Barez Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety monitoring; Polynomial classifiers; Interpretability; fairness; safety; privacy; and societal considerations
273	Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy Authors: Gauri Pradhan; Joonas Jälkö; Santiago Zanella-Beguelin; Antti Honkela Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: differential privacy; deep learning; privacy auditing; fairness; safety; privacy; and societal considerations
274	Beyond Pairwise: Empowering LLM Alignment With (Ranked) Choice Modeling Authors: Yuxuan Tang; Yifan Feng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Language Models Fine-tuning; Discrete Choice Model; Ranked Choice Model; Alignment; Preference Optimization; Learning From Human Feedback; fairness; safety; pr…
275	Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework Authors: Kihyun Kim; Jiawei Zhang; Asuman E. Ozdaglar; Pablo A. Parrilo Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Alignment; Population-Proportional Alignment; Social Choice Theory; Axiomatic Framework; Rank Aggregation; Pluralistic Alignment; Preference-based Reinforce…
276	Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts Authors: Yujie Lin; Kunquan Li; YiXuan Liao; Xiaoxin Chen; Jinsong Su Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large language models; Algorithmic fairness; Social bias; fairness; safety; privacy; and societal considerations
277	Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs Authors: Hyejun Jeong; Shiqing Ma; Amir Houmansadr Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Bias and Fairness; Fairness Auditing; Bias Measurement; fairness; safety; privacy; and societal considerations
278	BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models Authors: Thierry Blankenstein; Jialin Yu; Zixuan Li; Vassilis Plachouras; Sunando Sengupta; Philip Torr; Yarin Gal; Alasdair Paren; Adel Bibi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Tool Selection; LLM Agents; Fairness; Bias; fairness; safety; privacy; and societal considerations
279	BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses Authors: Xin Xu; Xunzhi He; Churan Zhi; Ruizhe Chen; Julian McAuley; Zexue He Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: debiasing large language models; bias mitigation; social bias; fairness; safety; privacy; and societal considerations
280	BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation Authors: Peng Lai; Zhihao Ou; Yong Wang; Longyue Wang; Jian Yang; Yun Chen; Guanhua Chen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM-as-a-Judge; bias; fairness; safety; privacy; and societal considerations
281	Black-Box Privacy Attacks on Shared Representations in Multitask Learning Authors: John Abascal; Nicolás Berrios; Alina Oprea; Jonathan Ullman; Adam Smith; Matthew Jagielski Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: multitask learning; privacy; attacks; fairness; safety; privacy; and societal considerations
282	Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents Authors: Julia Bazinska; Max Mathys; Francesco Casucci; Mateo Rojas-Carulla; Xander Davies; Alexandra Souly; Niklas Pfister Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI security; Large Language Models; Security Benchmark; Red Teaming; AI Safety; fairness; safety; privacy; and societal considerations
283	Breaking and Fixing Defenses Against Control Flow Hijacking in Multi-Agent Systems Authors: Rishi Dev Jha; Harold Triedman; Justin Wagle; Vitaly Shmatikov Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Agents; Multi-Agent Systems; Security; Defenses; Control Flow Hijacking; Indirect Prompt Injection; fairness; safety; privacy; and societal considerations
284	Bridging Fairness and Explainability: Can Input-Based Explanations Promote Fairness in Hate Speech Detection? Authors: Yifan Wang; Mayank Jobanputra; Ji-Ung Lee; Soyoung Oh; Isabel Valera; Vera Demberg Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fairness; Explainability; Hate speech detection; fairness; safety; privacy; and societal considerations
285	Buffer Matters: Unleashing the Power of Off-Policy Reinforcement Learning in Large Language Model Reasoning Authors: Xu Wan; Yansheng Wang; Wenqi Huang; Mingyang Sun Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM post-training; off-policy RLVR; fairness; safety; privacy; and societal considerations
286	Building a Foundational Guardrail for General Agentic Systems via Synthetic Data Authors: Yue Huang; Hang Hua; Yujun Zhou; Pengcheng Jing; Manish Nagireddy; Inkit Padhi; Greta Dolcetti; Zhangchen Xu; Subhajit Chaudhury; Ambrish Rawat; Liubov Nedoshivina; Pin-Yu Chen; P… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Model; Agent; Guardian; Guardrail; Safety; fairness; safety; privacy; and societal considerations
287	CERTIFIED VS. EMPIRICAL ADVERSARIAL ROBUSTNESS VIA HYBRID CONVOLUTIONS WITH ATTENTION STOCHASTICITY Authors: Joy Dhar; Song Xia; Manish Kumar Pandey; Maryam Haghighat; Azadeh Alavi; Ferdous Sohel; Wenyu Zhang; Nayyar Zaidi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Certified Defense; Empirical Defense; Adversarial Robustness; fairness; safety; privacy; and societal considerations
288	CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives Authors: Ayoung Lee; Ryan Sungmo Kwon; Peter Railton; Lu Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: dilemma; value-based decision-making; high-stakes; steerability; LLM; fairness; safety; privacy; and societal considerations
289	COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences Authors: Yixin Liu; Argyris Oikonomou; Weiqiang Zheng; Yang Cai; Arman Cohan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM alignment; general preference; Nash learning from human feedback; last-iterate convergence; fairness; safety; privacy; and societal considerations
290	Can LLMs Reason Soundly in Law? Auditing Inference Patterns for Legal Judgment Authors: Lu Chen; Yuxuan Huang; Yixing Li; Dongrui Liu; Qihan Ren; ShuaiZhao; Kun Kuang; Zilong Zheng; Quanshi Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Model; Value Alignment; Trustworthiness; fairness; safety; privacy; and societal considerations
291	Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks Authors: Wenbo Pan; Jie Xu; Qiguang Chen; Junhao Dong; Libo Qin; Xinfeng Li; Yu Haining; Xiaohua Jia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large language models; Knowledge-aware refusal; Factuality evaluation; fairness; safety; privacy; and societal considerations
292	Capability-Based Scaling Trends for LLM-Based Red-Teaming Authors: Alexander Panfilov; Paul Kassianik; Maksym Andriushchenko; Jonas Geiping Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: jailbreaks; red-teaming; ai safety; fairness; safety; privacy; and societal considerations
293	Certifying the Full YOLO Pipeline: A Probabilistic Verification Approach Authors: Zongxin Liu; Zhiming Chi; Lijia Yu; Tao Lin; Lijun Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Probabilistic Verification; Formal Verification; Object Detection; Safety Guaranteen; fairness; safety; privacy; and societal considerations
294	ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents Authors: Hwan Chang; Yonghyun Jun; Hwanhee Lee Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Model; Prompt Injection Attack; LLM Agent; fairness; safety; privacy; and societal considerations
295	Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models Authors: Xinhao Zhong; Yimin Zhou; Zhiqi Zhang; Junhao Li; Sun Yi; Bin Chen; Shu-Tao Xia; Xuan Wang; Ke Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: visual autoregressive model; concept erasure; fairness; safety; privacy; and societal considerations
296	Co-occurring Associated REtained concepts in Diffusion Unlearning Authors: Miso Kim; Georu Lee; Yunji Kim; Hoki Kim; Jinseong Park; Woojin Lee Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: unlearning; diffusion; concept erasure; safety; fairness; safety; privacy; and societal considerations
297	CoFact: Conformal Factuality Guarantees for Language Models under Covariate Shift Authors: Zirui Hu; Zheng Zhang; Yingjie Wang; Leszek Rutkowski; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Conformal prediction; Hallucination; LLM reliability; fairness; safety; privacy; and societal considerations
298	CodeGenGuard: A Watermark for Code Generation Models Authors: Borui Yang; Mingxuan Ma; Liyao Xiang; Nan Chen; Xin Zhang; Linghe Kong; Xinghao Jiang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Watermarking; Code Generation; Copyright Protection; fairness; safety; privacy; and societal considerations
299	Cognitive models can reveal interpretable value trade-offs in language models Authors: Sonia Krishna Murthy; Rosie Zhao; Jennifer Hu; Sham M. Kakade; Markus Wulfmeier; Peng Qian; Tomer Ullman Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: cognitive modeling; value tradeoffs; RLHF training dynamics; fairness; safety; privacy; and societal considerations
300	CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting Authors: Sumin In; Youngdong Jang; Utae Jeong; MinHyuk Jang; Hyeongcheol Park; Eunbyung Park; Sangpil Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Digital Watermarking; Privacy; fairness; safety; privacy; and societal considerations
301	Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing Authors: Justin W Lin; Eliot Krzysztof Jones; Donovan Julian Jasper; Ethan Jun-shen Ho; Anna Wu; Arnold Tianyi Yang; Neil Perry; Andy Zou; Matt Fredrikson; J Zico Kolter; Percy Liang; Dan… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Agents; Cybersecurity; Risk; fairness; safety; privacy; and societal considerations
302	Computational Barriers to Filtering for AI Alignment Authors: Sarah Ball; Grzegorz Gluch; Shafi Goldwasser; Frauke Kreuter; Omer Reingold; Guy N. Rothblum Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: alignment; safety; cryptography; fairness; safety; privacy; and societal considerations
303	Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks Authors: Yu-Che Tsai; Hsiang Hsiao; Kuan-Yu Chen; Shou-De Lin Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Text Embedding; Privacy; Defense; Inversion Attack; fairness; safety; privacy; and societal considerations
304	Conjuring Semantic Similarity Authors: Tian Yu Liu; Stefano Soatto Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Meaning Representation; Semantic Similarity; Diffusion Model; fairness; safety; privacy; and societal considerations
305	Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective Authors: Justin Lee; Zheda Mai; Jinsu Yoo; Chongyu Fan; Cheng Zhang; Wei-Lun Chao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Continual Unlearning; Diffusion Model; Image Generation; Machine Unlearning; fairness; safety; privacy; and societal considerations
306	Control Tax: The Price of Keeping AI in Check Authors: Mikhail Terekhov; Zhen Ning David Liu; Caglar Gulcehre; Samuel Albanie Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI control; scalable oversight; AI safety; fairness; safety; privacy; and societal considerations
307	Convergent Differential Privacy Analysis for General Federated Learning Authors: Yan Sun; Qixin Zhang; Li Shen; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Differential privacy; federated learning; fairness; safety; privacy; and societal considerations
308	Counterfactual LLM-based Framework for Measuring Rhetorical Style Authors: Jingyi Qiu; Hong Chen; Zongyi Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI for Metascience; Preference Models; LLM-as-Judge; Computational Social Science; LLM Personas; Rhetorical Style Measurement; fairness; safety; privacy; and s…
309	Critical Confabulation: Can LLMs Hallucinate for Social Good? Authors: Peiqi Sui; Eamon Duede; Hoyt Long; Richard Jean So Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; AI for Social Good; Hallucination and Confabulation; Narrative Modeling; Data Contamination and Memorization; Computational Creativity;…
310	Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset Authors: Lily H Zhang; Smitha Milli; Karen Long Jusko; Jonathan Smith; Brandon Amos; Wassim Bouaziz; Manon Revel; Jack Kussman; Yasha Sheynin; Lisa Titus; Bhaktipriya Radharapu; Jane Yu; V… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: preference datasets; pluralistic alignment; algorithmic monoculture; human feedback; fairness; safety; privacy; and societal considerations
311	Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning Authors: Dariush Wahdany; Matthew Jagielski; Adam Dziedzic; Franziska Boenisch Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: machine learning; privacy; fairness; safety; privacy; and societal considerations
312	D&R: Recovery-based AI-Generated Text Detection via a Single Black-box LLM Call Authors: Yuxia Sun; Ran Zhang; Aoxiang Sun; Xu Li; Zitao Liu; Jingcai Guo Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI-generated Text Detection; Large Language Models; Training-free Methods; Black-box Detection; Recovery-based Detection; Robustness; fairness; safety; privacy…
313	DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration Authors: Gilles Eerlings; Brent Zoomers; Jori Liesenborgs; Gustavo Rovelo Ruiz; Kris Luyten Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Rashomon Set; Rashomon Effect; Feature-wise Linear Modulation (FiLM); CMA-ES; Model Multiplicity; Predictive Multiplicity; Neural Network Diversity; fairness;…
314	DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning Authors: Yaxuan Wang; Chris Yuhao Liu; Quan Liu; Jinlong Pang; Wei Wei; Yujia Bao; Yang Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Unlearning; In-context Learning; fairness; safety; privacy; and societal considerations
315	DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense Authors: Amira Guesmi; Muhammad Shafique Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Robustness; Transferability of Adversarial Attacks; Randomized Defenses; Gradient Consensus; fairness; safety; privacy; and societal considerations
316	DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning Authors: Yifan Wang; Bolian Li; Junlin Wu; Zhaoxuan Tan; Zheli Liu; Ruqi Zhang; Ananth Grama; Qingkai Zeng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: large language models; preference learning; user feedback; post-training; self-improvement; fairness; safety; privacy; and societal considerations
317	DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher Authors: Yisheng Zhong; Zhengbang Yang; Zhuangdi Zhu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Unlearning; Knowledge Distillation; Teacher–Student Learning; Utility Preservation; Data Efficiency; Robustness; Safety and Alignment; fairness; safety; pr…
318	Data Selection for LLM Alignment Using Fine-Grained Preferences Authors: Jia Zhang; Yao Liu; Chen-Xi Zhang; Yi Liu; Yi-Xuan Jin; Lan-Zhe Guo; Yu-Feng Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Data Selection; Preference Alignment; fairness; safety; privacy; and societal considerations
319	Data-Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles Authors: Namrita Varshney; Ashutosh Gupta; Arhaan Ahmad; Tanay Vineet Tayal; S. Akshay Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Robustness verification; Sensitivity analysis; SAT solvers; efficient encodings; NP-hardness; fairness; confidence; decision tree ensembles; MultiClass; fairne…
320	Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs Authors: Kyle O'Brien; Stephen Casper; Quentin Gregory Anthony; Tomek Korbak; Robert Kirk; Xander Davies; Ishan Mishra; Geoffrey Irving; Yarin Gal; Stella Biderman Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: data filtering; model tampering; unlearning; robustness; open-weight; open-source; safety; biorisk; fairness; safety; privacy; and societal considerations
321	DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence Authors: Pranav Narayanan Venkit; Philippe Laban; Yilun Zhou; Kung-Hsiang Huang; Yixin Mao; Chien-Sheng Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: deep research; generative search engines; NLP; audit framework; sociotechnical evaluation; large language models; fairness; safety; privacy; and societal consi…
322	Defending against Backdoor Attacks via Module Switching Authors: Weijun Li; Ansh Arora; Xuanli He; Mark Dras; Qiongkai Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Backdoor attacks; backdoor defense; model merging; fairness; safety; privacy; and societal considerations
323	Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models Authors: Yongding Tao; Tian Wang; Yihong Dong; Huanyu Liu; Kechi Zhang; Hu XiaoLong; Ge Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Data Contamination Detection; LLMs; Reinforcement Learning; Entropy; fairness; safety; privacy; and societal considerations
324	Detecting Misbehaviors of Large Vision-Language Models by Evidential Uncertainty Quantification Authors: Tao Huang; Rui Wang; Xiaofei Liu; Yi Qin; Li Duan; Liping Jing Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Misbehavior Detection; Large Vision-Language Model; Evidential Theory; Uncertainty; fairness; safety; privacy; and societal considerations
325	Developmental Federated Tuning: A Cognitive-Inspired Paradigm for Efficient LLM Adaptation Authors: Yebo Wu; Jingguang Li; Zhijiang Guo; Li Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated Fine-Tuning; Large Language Models; Efficient Training; fairness; safety; privacy; and societal considerations
326	DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models Authors: Zherui Li; Zheng Nie; Zhenhong Zhou; Yue Liu; Yitong Zhang; Yu Cheng; Qingsong Wen; Kun Wang; Yufei Guo; Jiaheng Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Safety; Jailbreak Attack; fairness; safety; privacy; and societal considerations
327	Disentangling Length Bias in Preference Learning via Response-Conditioned Modeling Authors: Jianfeng Cai; Jinhua Zhu; Ruopei Sun; Yue Wang; Li Li; Wengang Zhou; Houqiang Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Preference Modeling; Bradley-Terry Model; fairness; safety; privacy; and societal considerations
328	Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models Authors: Jiaming Zhang; CHE WANG; Yang Cao; Longtao Huang; Wei Yang Bryan Lim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Protection; Privacy Protection; Multi-Modal Large Language Models; Hierarchical Reasoning; Geographic Inference; fairness; safety; privacy; and soc…
329	Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Reasoning Large Language Models Authors: Shuliang Liu; Xingyu Li; Hongyi Liu; Dong Fang; Duan Bingchen; Zheng Qi; Lingfeng Su; Xuming Hu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Reasoning Large Language Model; Watermark; fairness; safety; privacy; and societal considerations
330	Distributional Machine Unlearning via Selective Data Removal Authors: Youssef Allouah; Rachid Guerraoui; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: unlearning; theory; privacy; sample complexity; machine learning; statistical learning; fairness; safety; privacy; and societal considerations
331	Diversity-Enhanced Reasoning for Subjective Questions Authors: Yumeng Wang; Zhiyuan Fan; Jiayu Liu; Jen-tse Huang; Yi R. Fung Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; subjective reasoning; diversity-enhanced training; fairness; safety; privacy; and societal considerations
332	Don't Shift the Trigger: Robust Gradient Ascent for Backdoor Unlearning Authors: Xingyi Zhao; Tian Xie; Xiaojun Qi; Depeng Xu; Shuhan Yuan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: gradient ascent; machine unlearning; backdoor defense; fairness; safety; privacy; and societal considerations
333	Doubly-Regressing Approach for Subgroup Fairness Authors: Kunwoong Kim; Kyungseon Lee; Jihu Lee; Dongyoon Yang; Yongdai Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Algorithmic fairness; Subgroup; Adversarial learning; Data sparsity; fairness; safety; privacy; and societal considerations
334	Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas Authors: Luke Guerdan; Justin Whitehouse; Kimberly Truong; Ken Holstein; Steven Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: external validity; LLM-as-a-Judge; large language models; evaluation; personas; causal inference; doubly-robust estimation; fairness; safety; privacy; and soci…
335	Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning Authors: Yicheng Lang; Yihua Zhang; Chongyu Fan; Changsheng Wang; Jinghan Jia; Sijia Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Unlearning; Robustness; Zeroth-Order Optimization; fairness; safety; privacy; and societal considerations
336	Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Models Authors: Weidi Luo; Tianyu Lu; Qiming Zhang; Xiaogeng Liu; Bin Hu; Yue Zhao; Jieyu Zhao; Song Gao; Patrick McDaniel; Zhen Xiang; Chaowei Xiao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Privacy Leakage; fairness; safety; privacy; and societal considerations
337	Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings Authors: Jenny Y. Huang; Yunyi Shen; Dennis Wei; Tamara Broderick Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Preference-based Evaluations; Robustness to Data Dropping; Bradley–Terry Model; Influence Functions; fairness; safety; privacy; and societal considerations
338	Dual Randomized Smoothing: Beyond Global Noise Variance Authors: Chenhao Sun; Yuhao Mao; Martin Vechev Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: robustness certification; randomized smoothing; fairness; safety; privacy; and societal considerations
339	Dual-Space Smoothness for Robust and Balanced LLM Unlearning Authors: Han Yan; Zheyuan Liu; Meng Jiang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI safety; Large Language Model Unlearning; Robustness; Jailbreak Attacks; LLM Safety; Relearning Attack; fairness; safety; privacy; and societal considerations
340	DualEdit: Mitigating Safety Fallback in LLM Backdoor Editing via Affirmation-Refusal Regulation Authors: Houcheng Jiang; Zetong Zhao; Junfeng Fang; Haokai Ma; Ruipeng Wang; Xiang Wang; Xiangnan He; Yang Deng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Model Edit; Backdoor Attack; fairness; safety; privacy; and societal considerations
341	DynaGuard: A Dynamic Guardian Model With User-Defined Policies Authors: Monte Hoover; Vatsal Baherwani; Neel Jain; Khalid Saifullah; Joseph James Vincent; Chirag Jain; Melissa Kazemi Rad; C. Bayan Bruss; Ashwinee Panda; Tom Goldstein Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety; Guardrails; Content Moderation; Compliance; fairness; safety; privacy; and societal considerations
342	Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models Authors: Jianghao Yin; Qin Chen; Kedi Chen; Jie Zhou; Xingjiao Wu; Liang He Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Vision-Language Models; Hallucination; fairness; safety; privacy; and societal considerations
343	ELEPHANT: Measuring and understanding social sycophancy in LLMs Authors: Myra Cheng; Sunny Yu; Cinoo Lee; Pranav Khadpe; Lujain Ibrahim; Dan Jurafsky Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: large language models; sycophancy; affirmation; benchmark; social sycophancy; fairness; safety; privacy; and societal considerations
344	Early Signs of Steganographic Capabilities in Frontier LLMs Authors: Artur Zolkowski; Kei Nishimura-Gasparian; Robert McCarthy; Roland S. Zimmermann; David Lindner Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Safety; Alignment; CoT Monitoring; AI Control; Encoded Reasoning; Steganography; Evaluations; LLMs; fairness; safety; privacy; and societal considerations
345	EditLens: Quantifying the Extent of AI Editing in Text Authors: Katherine Thai; Bradley Emi; Elyas Masrour; Mohit Iyyer Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI detection; authorship attribution; human-AI collaboration; fairness; safety; privacy; and societal considerations
346	Eliciting Harmful Capabilities by Fine-Tuning on Safeguarded Outputs Authors: Jackson Kaunismaa; John Hughes; Christina Q Knight; Avery Griffin; Mrinank Sharma; Erik Jones Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: adversarial robustness; LLMs; machine learning; distillation; jailbreaks; classifier guarded system; adversarial attacks; safety; fairness; safety; privacy; an…
347	EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Authors: Bohao Xing; Xin Liu; Guoying Zhao; Chengyu Liu; Xiaolan Fu; Heikki Kälviäinen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Emotion Hallucination; Emotion Understanding; Affective Computing; fairness; safety; privacy; and societal considerations
348	Enforcing Axioms for AI Alignment under Loss-Based Rules Authors: Alexandros Hollender; Sonja Kraiczy Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Social Choice; AI Alignment; Reinforcement Learning from Human Feedback; Constitutional AI; fairness; safety; privacy; and societal considerations
349	Enhancing Image-Conditional Coverage in Segmentation: Adaptive Thresholding via Differentiable Miscoverage Loss Authors: Rui Luo; Jie Bao; Xiaoyi Su; Wen Jung Li; Suqun Cao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: image segmentation; conditional coverage; conformal prediction; conformal risk control; fairness; safety; privacy; and societal considerations
350	Enhancing Trustworthiness of Fine-Tuned LLMs via Regularized Subset Selection Authors: Kumar Shubham; Nishant Sharma; Karn Tiwari; Prathosh AP Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Trustworthiness; Subset Selection; Submodularity; Data Attribution; fairness; safety; privacy; and societal considerations
351	EnsembleSHAP: Faithful and Certifiably Robust Attribution for Random Subspace Method Authors: Yanting Wang; Jinyuan Jia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Feature attribution; Certified Robustness; Jailbreak Attack; fairness; safety; privacy; and societal considerations
352	Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning Authors: Nakyeong Yang; Dong-Kyum Kim; Jea Kwon; Minsung Kim; Kyomin Jung; Meeyoung Cha Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Unlearning; AI Safety; Interpretability; fairness; safety; privacy; and societal considerations
353	Estimating Worst-Case Frontier Risks of Open-Weight LLMs Authors: Eric Wallace; Olivia Watkins; Miles Wang; Kai Chen; Chris Koch Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Open-source LLMs; safety; frontier risks; fairness; safety; privacy; and societal considerations
354	Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment Authors: Hongbin Zhang; Kehai Chen; Xuefeng Bai; Yang Xiang; Min Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: cultural awareness; reward model; LLM Alignment; RLHF; RL; Dataset; Benchmark; Multilingual Evaluation; fairness; safety; privacy; and societal considerations
355	Explainable LLM Unlearning through Reasoning Authors: Junfeng Liao; Qizhou Wang; Shanshan Ye; Xin Yu; Ling Chen; Zhen Fang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Unlearning; fairness; safety; privacy; and societal considerations
356	Exponential-Wrapped Mechanisms: Differential Privacy on Hadamard Manifolds Made Practical Authors: Yangdi Jiang; Xiaotian Chang; Lei Ding; Linglong Kong; Bei Jiang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Differential Privacy; Riemannian Manifold; Hadamard manifolds; Fréchet mean; SPDM space; fairness; safety; privacy; and societal considerations
357	Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts Authors: Songping Wang; Qinglong Liu; Yueming Lyu; Ning Li; Ziwen He; Caifeng Shan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial attacks for Video MoE; Robustness of Video MoE; fairness; safety; privacy; and societal considerations
358	Expressiveness of Multi-Neuron Convex Relaxations in Neural Network Certification Authors: Yuhao Mao; Yani Zhang; Martin Vechev Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: certification; convex relaxation; theory; fairness; safety; privacy; and societal considerations
359	FHE-Coder: Benchmarking Secure Agentic Code Generation for Fully Homomorphic Encryption Authors: Mayank Kumar; Jiaqi Xue; Mengxin Zheng; Qian Lou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Agents; Code generation; Fully Homomorphic Encryption; Retrieval Augmented Generation; fairness; safety; privacy; and societal considera…
360	FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning Authors: Liheng Yu; Zhe Zhao; Yuxuan Wang; Pengkun Wang; Xiaofeng Cao; Binwu Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Long-tailed learning; Unlearning; Fairness; fairness; safety; privacy; and societal considerations
361	Fair Classification by Direct Intervention on Operating Characteristics Authors: Kevin Jiang; Edgar Dobriban Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: algorithmic fairness; post-processing; linear-fractional constraints; minimal interventions; constrained optimization; fairness; safety; privacy; and societal…
362	Fair Conformal Classification via Learning Representation-Based Groups Authors: Senrong Xu; Yanke Zhou; Yuhao Tan; Zenan Li; Yuan Yao; Taolue Chen; Feng Xu; Xiaoxing Ma Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Classification; Conformal Prediction; Equalized Coverage; Fairness; fairness; safety; privacy; and societal considerations
363	Fair Decision Utility in Human-AI Collaboration: Interpretable Confidence Adjustment for Humans with Cognitive Disparities Authors: Jiashi Gao; Kexin Liu; Xinwei Guo; Junlei Zhou; Jiaxin Zhang; Xiangyu Zhao; Guanhua Chen; Xin Yao; Xuetao Wei Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fairness; AI-assisted decision making; fairness; safety; privacy; and societal considerations
364	Fair Graph Machine Learning under Adversarial Missingness Processes Authors: Debolina Halder Lina; Arlei Silva Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fairness; GNN; Missingness; fairness; safety; privacy; and societal considerations
365	Fair Reinforcement Learning for Just AI Authors: Ezgi Korkmaz Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: reinforcement learning; fairness; fair reinforcement learning; democratic AI; AI alignment; pluralistic AI; ethical AI; responsible AI; computational social ch…
366	Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs Authors: Yiran Zhao; Lu Zhou; Xiaogang Xu; Zhe Liu; Jiafei Wu; Liming Fang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Fairness; Unified Multimodal Large Language Models (UMLLMs); Fairness Benchmark; Cross-Task Evaluation; Bias Measurement; fairness; safety; privacy; and soc…
367	Fairness via Independence: A General Regularization Framework for Machine Learning Authors: Yezi Liu; Hanning Chen; Wenjun Huang; Yang Ni; Mohsen Imani Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Bias Mitigation; Statistical Independence; Fairness in Machine Learning; fairness; safety; privacy; and societal considerations
368	Fed-Duet: Dual Expert-Orchestrated Framework for Continual Federated Vision-Language Learning Authors: Tao GUO; Junwei Chen; Laizhong Cui Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated Learning; Federated Continual Learning; Prompt learning; Vision-Language model; fairness; safety; privacy; and societal considerations
369	FedMC: Federated Manifold Calibration Authors: Yanbiao Ma; Wei Dai; Gaoyang Jiang; wanyi Chen; Chenyue Zhou; Yiwei Zhang; Fei Luo; Junhao Wang; Andi Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated Learning; Distribution Calibrations; Geometric Knowledge; fairness; safety; privacy; and societal considerations
370	Federated Learning of Quantile Inference under Local Differential Privacy Authors: Leheng Cai; Qirui Hu; Shuyuan Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Confidence interval; Federated learning; Local differential privacy; Quantile; Self-normalization; fairness; safety; privacy; and societal considerations
371	Federated Learning with Profile Mapping under Distribution Shifts and Drifts Authors: Mohan Li; Dario Fenoglio; Martin Gjoreski; Marc Langheinrich Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: federated learning; privacy; distribution drifts; distribution shifts; data heterogeneity; efficiency; fairness; safety; privacy; and societal considerations
372	Fewer Weights, More Problems: A Practical Attack on LLM Pruning Authors: Kazuki Egashira; Robin Staab; Thibaud Gloaguen; Mark Vero; Martin Vechev Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: pruning; large language models; security; poisoning; fairness; safety; privacy; and societal considerations
373	Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget Authors: Zhichao Hou; Weizhi Gao; Xiaorui Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Attack; Efficiency; Robustness; fairness; safety; privacy; and societal considerations
374	Fine-Grained Privacy Extraction from Retrieval-Augmented Generation Systems by Exploiting Knowledge Asymmetry Authors: Yufei Chen; Yao Wang; Haibin Zhang; Tao Gu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: RAG; knowledge asymmetry; privacy extraction; cross-domain generalization; fairness; safety; privacy; and societal considerations
375	Fine-tuning Done Right in Model Editing Authors: Wanli Yang; Rui Tang; Hongyu Zang; Du Su; Qi Cao; Jingang Wang; Huawei Shen; Xueqi Cheng; Fei Sun Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Model Editing; Fine-tuning; Knowledge Editing; Lifelong Editing; Localized Fine-tuning; fairness; safety; privacy; and societal considerations
376	Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach Authors: Guang Yang; Ziye Geng; Yihang Chen; Changqing Luo Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: neural network fingerprinting; ownership verification; fairness; safety; privacy; and societal considerations
377	Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models Authors: Anirudh Bharadwaj; Chaitanya Malaviya; Nitish Joshi; Mark Yatskar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: reward models; LLM-based evaluators; biases; fairness; safety; privacy; and societal considerations
378	Formalising Human-in-the-Loop: Computational Reductions, Failure Modes, and Legal-Moral Responsibility Authors: Maurice Chiodo; Dennis Müller; Paul Siewert; Jean-Luc Wetherall; Zoya Yasmine; John Burden Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Human-in-the-loop; Automated decision making system; Human oversight in sociotechnical systems; Oracle machine; AI safety; Trustworthy AI; fairness; safety; pr…
379	From Curiosity to Caution: Mitigating Reward Hacking for Best-of-$N$ with Pessimism Authors: Zhuohao Yu; Steven Wu; Adam Block Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Reward Hacking; Reward Models; Pessimism; Inference-time Scaling; Large Language Models; fairness; safety; privacy; and societal considerations
380	From Evaluation to Defense: Advancing Safety in Video Large Language Models Authors: Yiwei Sun; Peiqi Jiang; Chuanbin Liu; Luohao Lin; Zhiying Lu; Hongtao Xie Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Video Large Language Model; Safety of Multimodal Large Language Model; Safety Alignment; RLHF; fairness; safety; privacy; and societal considerations
381	From Gradient Volume to Shapley Fairness: Towards Fair Multi-Task Learning Authors: Xiao Wang; Yuying Han; Dazi Li; Fei Zhang; Min Tang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Multi-task Learning; Shapley Value; Fair Optimization; fairness; safety; privacy; and societal considerations
382	From Sure" to Sorry": Detecting Jailbreak in Large Vision Language Model via JailNeurons Authors: Yuyou Gan; Qingming Li; Junhao Li; Zhi Chen; Jinbao Li; Xiaoming Li; Shouling Ji Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Vision Language Model; Jailbreak Detection; fairness; safety; privacy; and societal considerations
383	Full-Graph vs. Mini-Batch Training: Comprehensive Analysis from a Batch Size and Fan-Out Size Perspective Authors: Mengfan Liu; Da Zheng; Junwei Su; Chuan Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Graph Neural Network; fairness; safety; privacy; and societal considerations
384	GAVEL: Towards Rule-Based Safety through Activation Monitoring Authors: Shir Rozenfeld; Rahul Pankajakshan; Itay Zloczower; Eyal Lenga; Gilad Gressel; Yisroel Mirsky Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Safety; Activation-Based Monitoring; Rule-Based Detection; Large Language Models; Misuse Detection; fairness; safety; privacy; and societal considerations
385	General Exploratory Bonus for Optimistic Exploration in RLHF Authors: Wendi Li; Changdae Oh; Sharon Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: RLHF; optimistic exploration; fairness; safety; privacy; and societal considerations
386	Generalization in LLM Problem Solving: The Case of the Shortest Path Authors: Yao Tong; Jiayuan Ye; Anastasia Borovykh; Reza Shokri Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Compositional generalization; problem solving; fairness; safety; privacy; and societal considerations
387	Generative Value Conflicts Reveal LLM Priorities Authors: Andy Liu; Kshitish Ghate; Mona T. Diab; Daniel Fried; Atoosa Kasirzadeh; Max Kleiman-Weiner Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM alignment; value alignment; evaluation; moral dilemmas; fairness; safety; privacy; and societal considerations
388	GeoDiv: Framework for Measuring Geographical Diversity in Text-to-Image Models Authors: Abhipsa Basu; Mohana Singh; Shashank Agnihotri; Margret Keuper; Venkatesh Babu Radhakrishnan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: geographical diversity; fairness; safety; privacy; and societal considerations
389	Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness Authors: Tavish Malcolm McDonald; Bo Lei; Stanislav Fort; Bhavya Kailkhura; Brian R. Bartoldson Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: adversarial robustness; inference-compute scaling; VLMs; efficiency; fairness; safety; privacy; and societal considerations
390	Ghost in the Cloud: Your Geo-Distributed Large Language Models Training is Easily Manipulated Authors: Zichen TANG; Zhenheng Tang; Gaoning Pan; Buhua Liu; Xin He; Kunfeng Lai; Xiaowen Chu; Bo Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreak attack; Geo-distributed LLM Training; Federated Learning; Large Language Models; fairness; safety; privacy; and societal considerations
391	Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems Authors: Zherui Li; Yan Mi; Zhenhong Zhou; Houcheng Jiang; Guibin Zhang; Kun Wang; Junfeng Fang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM-based Agent; Multi-agent System; Misinformation; fairness; safety; privacy; and societal considerations
392	Good Allocations from Bad Estimates Authors: Sílvia Casacuberta; Moritz Hardt Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Treatment Allocation; Treatment effects; Sample complexity; RCT; fairness; safety; privacy; and societal considerations
393	GraphShield: Graph-Theoretic Modeling of Network-Level Dynamics for Robust Jailbreak Detection Authors: Sunghee Dong; Sungwon Yi; Kangmin Bae; Jaeyoon Kim; Seongyeop Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreak Detection; Graph-Based Features; Large Language Models (LLMs); Safety and Robustness in LLMs; fairness; safety; privacy; and societal considerations
394	GuardAlign: Test-time Safety Alignment in Multimodal Large Language Models Authors: Xingyu Zhu; Beier Zhu; Junfeng Fang; Shuo Wang; Yin Zhang; Xiang Wang; Xiangnan He Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: MLLM; VLMs; Safety; Alignment; fairness; safety; privacy; and societal considerations
395	Guidance Watermarking for Diffusion Models Authors: Enoal Gesny; Eva Giboulot; Teddy Furon; Vivien Chappelier Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: watermarking; image generative AI; fairness; safety; privacy; and societal considerations
396	GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods Authors: Ruixuan Huang; Xunguang Wang; Zongjie Li; Daoyuan Wu; Shuai Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Jailbreak Attacks; Evaluation System; Benchmark; fairness; safety; privacy; and societal considerations
397	HLD: Approximate Hierarchical Linguistic Distribution Modeling for LLM-Generated Text Detection Authors: Rui Guo; Weibin Zeng; Fuzhang Wu; Yan Kong; sicheng shen; Yanjun Wu; Weiming Dong Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine-Generated Text Detection; Large language model; Model distribution estimation; Trustworthy AI; fairness; safety; privacy; and societal considerations
398	Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization Authors: Igor Maljkovic; Maria Rosaria Briglia; Iacopo Masi; Antonio Emanuele Cinà; Fabio Roli Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Vision–Language Models; Safety; Robustness; Adversarial Machine Learning; fairness; safety; privacy; and societal considerations
399	Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation Authors: Zikai Zhang; Rui Hu; Jiahao Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated Learning; Low-Rank Adaptation; Large Language Models; Resource Heterogeneity; fairness; safety; privacy; and societal considerations
400	Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique Authors: Mark Russinovich; Yanan Cai; Ahmed Salem Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Model; LLMs; Fingerprint; Security; fairness; safety; privacy; and societal considerations
401	HiddenEcho: Mitigating Noise Amplification in Differentially Private LLMs with Hidden-State Correction Authors: Wenhao Li; Kunhao Li; Lei Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Privacy Preservation; Denoise; fairness; safety; privacy; and societal considerations
402	Hot PATE: Private Aggregation of Distributions for Diverse Tasks Authors: Edith Cohen; Benjamin Cohen-Wang; Xin Lyu; Jelani Nelson; Tamas Sarlos; Uri Stemmer Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Differential Privacy; Sequential Text Generation; Coordinated Ensembles; fairness; safety; privacy; and societal considerations
403	How Catastrophic is Your LLM? Certifying Risks in Conversation Authors: Chengxiao Wang; Isha Chaudhary; Qian Hu; Weitong Ruan; Rahul Gupta; Gagandeep Singh Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Catastrophic risks; Multi-turn Attack; Certification; Safety; fairness; safety; privacy; and societal considerations
404	How Dark Patterns Manipulate Web Agents Authors: Phil Cuvin; Hao Zhu; Diyi Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Agents; Redteaming; Evaluations; Reasoning; Foundation Models; fairness; safety; privacy; and societal considerations
405	How to Cure Newton for Unlearning Neural Networks? An Empirical Study from the Hessian Perspective Authors: Nhung Bui; Xinyang Lu; Rachael Hwee Ling Sim; See-Kiong Ng; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: machine unlearning; second-order unlearning; fairness; safety; privacy; and societal considerations
406	Human-LLM Collaborative Feature Engineering for Tabular Data Authors: Zhuoyan Li; Aditya Bansal; Jinzhao Li; Shishuang He; Zhuoran Lu; Mutian Zhang; Qin Liu; Yiwei Yang; Swati Jain; Ming Yin; Yunyao Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: human-ai interaction; human-centered evaluation; fairness; safety; privacy; and societal considerations
407	Humanline: Online Alignment as Perceptual Loss Authors: Sijia Liu; Niklas Muennighoff; Kawin Ethayarajh Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: alignment; LLM; LLM alignment; prospect theory; perceptual loss; behavioral economics; fairness; safety; privacy; and societal considerations
408	INO-SGD: Addressing Utility Imbalance under Individualized Differential Privacy Authors: Xiao Tian; Jue Fan; Rachael Hwee Ling Sim; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: differential privacy; individualized differential privacy; IDP-SGD; data imbalance; utility imbalance; accuracy disparity; collaborative machine learning; fair…
409	INTIMA: A Benchmark for Human-AI Companionship Behavior Authors: Lucie-Aimée Kaffee; Giada Pistilli; Yacine Jernite Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI companionship; benchmark; fairness; safety; privacy; and societal considerations
410	Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning Authors: Renyang Liu; Guanlin Li; Tianwei Zhang; See-Kiong Ng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial attacks; Machine unlearning; Image generation model unlearning; AI safety; Stable Diffusion model; AIGC; fairness; safety; privacy; and societal co…
411	ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases Authors: Ziqian Zhong; Aditi Raghunathan; Nicholas Carlini Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: reward hacking; alignment; benchmark; fairness; safety; privacy; and societal considerations
412	In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations Authors: Mohammad Aflah Khan; Mahsa Amani; Soumi Das; Bishwamittra Ghosh; Qinyuan Wu; Krishna P. Gummadi; Manish Gupta; Abhilasha Ravichander Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Agents; Source Preferences; fairness; safety; privacy; and societal considerations
413	In-Context Watermarks for Large Language Models Authors: Yepeng Liu; Xuandong Zhao; Christopher Kruegel; Dawn Song; Yuheng Bu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLMs; Watermark; In-context Learning; Prompt Injection; fairness; safety; privacy; and societal considerations
414	Incentive-Aligned Multi-Source LLM Summaries Authors: Yanchen Jiang; Zhe Feng; Aranyak Mehta Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM summarization; incentive alignment; truthfulness; retrieval-augmented generation (RAG); peer prediction; fairness; safety; privacy; and societal considerat…
415	Inference-Time Personalized Safety Control via Paired Difference-in-Means Intervention Authors: Tran Huynh; Ruoxi Jia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: safety alignment; personalized alignment; fairness; safety; privacy; and societal considerations
416	Information-Theoretic Membership Inference for Granular Quantification of Memorization Authors: Jiashu Tao; Reza Shokri Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: membership inference attack; mia; privacy; llm privacy; memorization; fairness; safety; privacy; and societal considerations
417	Inoculation Prompting: Eliciting traits from LLMs during training can reduce trait expression at test-time Authors: Daniel Tan; Anders Cairns Woodruff; Niels Warncke; Arun Jose; Maxime Nicolas Riché; David Demitri Africa; Mia Taylor Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI; AI safety; alignment; generalization; finetuning; selective learning; fairness; safety; privacy; and societal considerations
418	Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment Authors: Ruoxi Cheng; Hao-Xuan Ma; Weixin Wang; Ranjie Duan; Jiexi Liu; Xiaoshuang Jia; Simeng Qin; Xiaochun Cao; Yang Liu; Xiaojun Jia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Inverse Reinforcement Learning; LLM Alignment; Group Relative Policy Optimization; fairness; safety; privacy; and societal considerations
419	Is On-Policy Data always the Best Choice for Direct Preference Optimization-Based LM Alignment? Authors: Zetian Sun; Dongfang Li; Xuhui Chen; Baotian Hu; Min Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: DPO; Preference Candidates; On-policy Sampling; fairness; safety; privacy; and societal considerations
420	JULI: Jailbreak Large Language Models by Self-Introspection Authors: Jesson Wang; Zhanhao Hu; David Wagner Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: large language models; jailbreaking; fairness; safety; privacy; and societal considerations
421	Jailbreak Transferability Emerges from Shared Representations Authors: Rico Angell; Jannik Brinkmann; He He Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Safety and Security; Adversarial Inputs; Jailbreaking; fairness; safety; privacy; and societal considerations
422	JailbreakLoRA: Your Downloaded LoRA from Sharing Platforms might be Unsafe Authors: Fanjunduo Wei; Zhenheng Tang; Rongfei Zeng; Tongliang Liu; Chengqi Zhang; Xiaowen Chu; Bo Han Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreak; LoRA; Large Language Models; fairness; safety; privacy; and societal considerations
423	Jailbreaking on Text-to-Video Models via Scene Splitting Strategy Authors: Wonjun Lee; Haon Park; Doehyeon Lee; Bumsub Ham; Suhyun Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreak; Safety; Text-to-Video; fairness; safety; privacy; and societal considerations
424	Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion Authors: Vishal Pramanik; Maisha Maliha; Susmit Jha; Sumit Kumar Jha Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLMs; JailBreak; fairness; safety; privacy; and societal considerations
425	Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness Authors: Erfan Shayegani; Keegan Hines; Yue Dong; Nael Abu-Ghazaleh; Roman Lutz; Spencer Whitehead; Vidhisha Balachandran; Besmira Nushi; Vibhav Vineet Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Computer-Use Agents; CUA; Multimodal Agents; GUI Agents; LLM Agents; Agentic Frameworks; Long-Horizon Agents; Agent Safety; Agent Reliability; Goal-Directednes…
426	K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge Authors: Zhikai Li; jiatong li; Xuewen Liu; Wangbo Zhao; Pan Du; Kaicheng Zhou; Qingyi Gu; Yang You; Zhen Dong; Kurt Keutzer Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Visual generation evaluation; preference alignment; corrected VLM-as-a-Judge; efficient evaluation; fairness; safety; privacy; and societal considerations
427	Knowledge Externalization: Reversible Unlearning and Modular Retrieval in Multimodal Large Language Models Authors: Jiaqi Li; Zihan You; Ruoyan Shen; Shenyu Zhang; Songlin Zhai; Yongrui Chen; Chuanyi Zhang; Jiahui Geng; Fakhri Karray; Sheng Bi; Guilin Qi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine unlearning; Multimodal Large Language Model; fairness; safety; privacy; and societal considerations
428	LLM Unlearning with LLM Beliefs Authors: Kemou Li; Qizhou Wang; Yue Wang; Fengpeng Li; Jun Liu; Bo Han; Jiantao Zhou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Model Unlearning; fairness; safety; privacy; and societal considerations
429	LLMS ON TRIAL: Evaluating Judicial Fairness For Large Language Models Authors: Yiran HU; Zongyue Xue; Haitao Li; Siyuan Zheng; Qingjing Chen; Shaochun Wang; Xihan Zhang; Ning Zheng; Yun Liu; Qingyao Ai; Yiqun LIU; Charles L. A. Clarke; Weixing Shen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fairness; LLM-as-judge; fairness; safety; privacy; and societal considerations
430	LLMs Can Hide Text in Other Text of the Same Length Authors: Antonio Norelli; Michael M. Bronstein Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Generative Steganography; AI Safety; Authorial Intent; Trust in AI; Deniability; Censorship Resistance; fairness; safety; privacy…
431	LUMINA: Detecting Hallucinations in RAG System with Context–Knowledge Signals Authors: Samuel Yeh; Sharon Li; Tanwi Mallick Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Hallucination detection; Retrieval-augmented generation; Reliability of LLM; fairness; safety; privacy; and societal considerations
432	Label Smoothing Improves Machine Unlearning Authors: Zonglin Di; Zhaowei Zhu; Jinghan Jia; Jiancheng Liu; Zafar Takhirov; Bo Jiang; Yuanshun Yao; Sijia Liu; Yang Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine unlearning; Label smoothing; Differential privacy; fairness; safety; privacy; and societal considerations
433	LatentQA: Teaching LLMs to Decode Activations Into Natural Language Authors: Alexander Pan; Lijie Chen; Jacob Steinhardt Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Safety; Activation Engineering; Top-Down Transparency of Language Models; Activation Verbalization; fairness; safety; privacy; and societal considerations
434	Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text Authors: Hongyi Zhou; Jin Zhu; Kai Ye; Ying Yang; Erhan Xu; Chengchun Shi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM detection; Rewrite-based detection; Learning distance; Prompt robust; fairness; safety; privacy; and societal considerations
435	Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights Authors: Xingli Fang; Jung-Eun Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Privacy; Generalizability; Weights Rewinding; Fine-Tuning; fairness; safety; privacy; and societal considerations
436	Learning to Lie: Adversarial Attacks on Human-AI Teams and LLMs Authors: Abed K. Musaffar; Anand Gokhale; Sirui Zeng; Rasta Tadayon; Xifeng Yan; Ambuj Singh; Francesco Bullo Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: adversarial attacks; redteaming; human-AI teams; decision-making; social influence; influence evolution; large language models; LLMs; model based reinforcement…
437	Learning-Time Encoding Shapes Unlearning in LLMs Authors: Ruihan Wu; Konstantin Garov; Kamalika Chaudhuri Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large language model; unlearning; fairness; safety; privacy; and societal considerations
438	Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction Authors: Aditya Sarkar; Yi Li; Jiacheng Cheng; Shlok Kumar Mishra; Nuno Vasconcelos Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Selective Prediction; Vision Language Alignment; AI Safety; fairness; safety; privacy; and societal considerations
439	LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops Authors: Jiyuan Fu; Kaixun Jiang; Lingyi Hong; Jinglun Li; HaiJing Guo; Dingkang Yang; Zhaoyu Chen; Wenqiang Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Energy-latency Attack; fairness; safety; privacy; and societal considerations
440	LiteGuard: Efficient Task-Agnostic Model Fingerprinting with Enhanced Generalization Authors: Guang Yang; Ziye Geng; Yihang Chen; Changqing Luo Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: neural network fingerprinting; ownership verification; fairness; safety; privacy; and societal considerations
441	Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection Authors: Uichan Lee; Jeonghyeon Kim; Sangheum Hwang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Concept Erasing; Unlearning; Robustness; Text-to-Image Generation; Diffusion Models; fairness; safety; privacy; and societal considerations
442	Log Probability Tracking of LLM APIs Authors: Timothee Chauvin; Erwan Le Merrer; Francois Taiani; Gilles Tredan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: API drift; audit; monitoring; LLM API; black-box; fairness; safety; privacy; and societal considerations
443	Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation Authors: Xingyu Zhu; Kesen Zhao; Liang Yi; Shuo Wang; Zhicai Wang; Beier Zhu; Hanwang Zhang; Xiangnan He Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: MLLMs; Alignment; LVLM; Hallucination; fairness; safety; privacy; and societal considerations
444	MIDAS: Multi-Image Dispersion and Semantic Reconstruction for Jailbreaking MLLMs Authors: Yilian Liu; Xiaojun Jia; Guoshun Nan; Jiuyang Lyu; Zhican Chen; Tao Guan; Shuyuan Luo; Zhongyi Zhai; Yang Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Multi-modal Large Language Model; Jailbreak Attack; Cross-Image Reasoning; Reasoning; fairness; safety; privacy; and societal considerations
445	MOAI: Module-Optimizing Architecture for Non-Interactive Secure Transformer Inference Authors: Linru Zhang; Xiangning Wang; Jun Jie Sim; Zhicong Huang; Jiahao Zhong; HUAXIONG WANG; Pu Duan; Kwok-Yan Lam Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: fully homomorphic encryption; secure transformer inference; fairness; safety; privacy; and societal considerations
446	MOLM: Mixture of LoRA Markers Authors: Samar Fares; Nurbek Tastan; Noor Hazim Hussein; Karthik Nandakumar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Watermarking; Diffusion models; fairness; safety; privacy; and societal considerations
447	MSCR: Exploring the Vulnerability of LLMs’ Mathematical Reasoning Abilities Using Multi-Source Candidate Replacement Authors: Zhishen Sun; Guang Dai; Haishan Ye Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Adversarial Attack; Mathematical Reasoning; fairness; safety; privacy; and societal considerations
448	MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection Authors: Liancheng Fang; Aiwei Liu; Henry Peng Zou; Yankai Chen; Hengrui Zhang; Zhongfen Deng; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Watermark; Tabular Generative Model; fairness; safety; privacy; and societal considerations
449	ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs Authors: Adi Simhi; Jonathan Herzig; Martin Tutek; Itay Itzhak; Idan Szpektor; Yonatan Belinkov Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety; Alignment; Benchmark; Agent; LLM; Agent evaluation; Decision-making; fairness; safety; privacy; and societal considerations
450	Market Games for Generative Models: Equilibria, Welfare, and Strategic Entry Authors: Xiukun Wei; Min Shi; Xueru Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Generative model competition; Nash equilibrium; Welfare analysis; Best-response training; fairness; safety; privacy; and societal considerations
451	Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark Authors: Xinjie Shen; Mufei Li; Pan Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Privacy; Physical world; fairness; safety; privacy; and societal considerations
452	Measuring and Mitigating Rapport Bias of Large Language Models under Multi-Agent Social Interactions Authors: Maojia Song; Tej Deep Pala; Ruiwen Zhou; Weisheng Jin; Amir Zadeh; Chuan Li; Dorien Herremans; Soujanya Poria Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Multi-Agent Systems (MAS); Social Influence & Trust Formation; fairness; safety; privacy; and societal considerations
453	Mechanistic Detection and Mitigation of Hallucination in Large Reasoning Models Authors: Zhongxiang Sun; Qipeng Wang; Haoyu Wang; Xiao Zhang; Jun Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Reasoning; Hallucination; Mechanistic Interpretability; fairness; safety; privacy; and societal considerations
454	Membership Inference Attacks Against Fine-tuned Diffusion Language Models Authors: Yuetian Chen; Kaiyuan Zhang; Yuntao Du; Edoardo Stoppa; Charles Fleming; Ashish Kundu; Bruno Ribeiro; Ninghui Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Membership Inference Attack; LLM; AI Privacy; fairness; safety; privacy; and societal considerations
455	Membership Privacy Risks of Sharpness Aware Minimization Authors: Young In Kim; Andrea Agiollo; Pratiksha Agrawal; Johannes O. Royset; Rajiv Khanna Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: membership inference attack; sam; sharpness aware minimization; memorization; benign overfitting; fairness; safety; privacy; and societal considerations
456	Memorization Through the Lens of Sample Gradients Authors: Deepak Ravikumar; Efstathia Soufleri; Abolfazl Hashemi; Kaushik Roy Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Memorization; Sample Gradients; fairness; safety; privacy; and societal considerations
457	Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots Authors: Erfan Shayegani; G M Shahariar; Sara Abdali; Lei Yu; Nael Abu-Ghazaleh; Yue Dong Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety and Robustness; Safety Alignment; Interpretability; Refusal; out-of-distribution; Representation Engineering; Jailbreaking; Multimodal Alignment; Concep…
458	Mitigating Mismatch within Reference-based Preference Optimization Authors: Suqin Yuan; Xingrui Yu; Jiyang Zheng; Lei Feng; Dadong Wang; Ivor Tsang; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: machine learning; language models; alignment; preference optimization; offline preference alignment; fairness; safety; privacy; and societal considerations
459	Mitigating the Safety Alignment Tax with Null-Space Constrained Policy Optimization Authors: Yifan Niu; Han Xiao; Dongyi Liu; Nuo Chen; Jia Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: safety alignment; fairness; safety; privacy; and societal considerations
460	MoEEdit: Efficient and Routing-Stable Knowledge Editing for Mixture-of-Experts LLMs Authors: Yupu Gu; Rongzhe Wei; Andy Zhu; Pan Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Knowledge Editing; Mixture-of-Experts; Large Language Models; fairness; safety; privacy; and societal considerations
461	Modal Aphasia: Can Unified Multimodal Models Describe Images From Memory? Authors: Michael Aerni; Joshua Swanson; Kristina Nikolić; Florian Tramèr Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: multi-modal language models; memorization; safety; unified representations; fairness; safety; privacy; and societal considerations
462	Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs Authors: Yan Scholten; Sophie Xhonneux; Leo Schwinn; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine unlearning; Model collapse; Large language models; LLMs; fairness; safety; privacy; and societal considerations
463	Monitoring Decomposition Attacks with Lightweight Sequential Monitors Authors: Chen Yueh-Han; Nitish Joshi; Yulin Chen; Maksym Andriushchenko; Rico Angell; He He Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Monitoring; LLMs; AI Safety; Decomposition Attacks; Jailbreak; LLM Agents; fairness; safety; privacy; and societal considerations
464	Multi-Feature Quantized Self-Attention for Fair Large Language Models Authors: Jaeil Park; Sung-Bae Cho Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large language models; multi-attribute social bias; quantized adversarial autoencoder; fairness; safety; privacy; and societal considerations
465	Multi-objective Large Language Model Alignment with Hierarchical Experts Authors: Zhuo Li; Guodong DU; Weiyang Guo; Yigeng Zhou; Xiucheng Li; Wenya Wang; Fangming Liu; Yequan Wang; Deheng Ye; Min Zhang; Jing Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: large language model; multi-objective; mixture-of-expert; model fusion; fairness; safety; privacy; and societal considerations
466	Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models Authors: Lujain Ibrahim; Canfer Akbulut; Rasmi Elasmar; Charvi Rastogi; Minsuk Kahng; Meredith Ringel Morris; Kevin R. McKee; Verena Rieser; Murray Shanahan; Laura Weidinger Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: anthropomorphism; human-AI interaction; social AI; multi-turn; evaluation; fairness; safety; privacy; and societal considerations
467	NDAD: Negative-Direction Aware Decoding for Large Language Models via Controllable Hallucination Signal Injection Authors: Panjia Qiu; Mingyuan Fan; Cen Chen; Daixin Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Contrastive Decoding; Robustness; fairness; safety; privacy; and societal considerations
468	Nasty Adversarial Training: A Probability Sparsity Perspective for Robustness Enhancement Authors: Yuhang Zhou; Zhongyun Hua; Zhaoquan Gu; Keke Tang; Rushi Lan; Yushu Zhang; Qing Liao; Leo Yu Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: adversarial training; adversarial robustness; fairness; safety; privacy; and societal considerations
469	No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted Embeddings Authors: Joonsung Jeon; Woo Jae Kim; Suhyeon Ha; Sooel Son; Sung-eui Yoon Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Membership Inference; Data Privacy in Generative Models; fairness; safety; privacy; and societal considerations
470	No, of Course I Can! Deeper Fine-Tuning Attacks That Bypass Token-Level Safety Mechanisms Authors: Joshua Kazdan; Abhay Puri; Rylan Schaeffer; Lisa Yu; Chris Cundy; Jason Stanley; Sanmi Koyejo; Krishnamurthy Dj Dvijotham Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: jailbreaking; attacks; AI Safety; red-teaming; fine-tuning; fine-tuning attacks; fairness; safety; privacy; and societal considerations
471	NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models Authors: Nir Goren; Oren Katzir; Abhinav Nakarmi; Eyal Ronen; Mahmood Sharif; Or Patashnik Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Watermarking; Diffusion Models; Generative AI; fairness; safety; privacy; and societal considerations
472	OFMU: OPTIMIZATION-DRIVEN FRAMEWORK FOR MACHINE UNLEARNING Authors: Sadia Asif; Mohammad Mohammadi Amiri Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: machine unlearning; large language models; privacy; bi-level optimization; convergence analysis; Trustworthy Machine Learning; Gradient-Based Methods; Safety i…
473	Obfuscated Activations Bypass LLM Latent-Space Defenses Authors: Luke Bailey; Alex Serrano; Abhay Sheshadri; Mikhail Seleznyov; Jordan Taylor; Erik Jenner; Jacob Hilton; Stephen Casper; Carlos Guestrin; Scott Emmons Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Interpretability; Adversarial Attack; Jailbreaking; Safety; fairness; safety; privacy; and societal considerations
474	Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search Authors: Xun Huang; Simeng Qin; Xiaoshuang Jia; Ranjie Duan; Huanqian Yan; Zhitao Zeng; Fei Yang; Yang Liu; Xiaojun Jia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreak attack; LLMs; Classical Chinese; fairness; safety; privacy; and societal considerations
475	OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always! Authors: Jingdi Lei; Varun Gumma; Rishabh Bhardwaj; Seok Min Lim; Chuan Li; Amir Zadeh; Soujanya Poria Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety Alignment; Large Language Models; Trustworthy AI; fairness; safety; privacy; and societal considerations
476	On Fairness of Task Arithmetic: The Role of Task Vectors Authors: Laura Gomezjurado Gonzalez; Hiroki Naganuma; Kotaro Yoshida; Takafumi Horie; Yuji Naraki; Ryotaro Shimizu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fairness; Model Editing; Task Arithmetic; fairness; safety; privacy; and societal considerations
477	On Optimal Hyperparameters for Differentially Private Deep Transfer Learning Authors: Aki Rehn; Linzh Zhao; Mikko A. Heikkilä; Antti Honkela Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: differential privacy; hyperparameters; deep learning; transfer learning; fairness; safety; privacy; and societal considerations
478	On The Fragility of Benchmark Contamination Detection in Reasoning Models Authors: Han Wang; Haoyu Li; Brian Ko; Huan Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Benchmark Contamination; Large Reasoning Model; Benchmark Contamination Detection; fairness; safety; privacy; and societal considerations
479	On the Interaction of Compressibility and Adversarial Robustness Authors: Melih Barsbey; Antônio H. Ribeiro; Umut Simsekli; Tolga Birdal Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: compressibility; compression; adversarial robustness; generalization; safety; fairness; safety; privacy; and societal considerations
480	OpenAgentSafety: A Comprehensive Framework For Evaluating Real-World AI Agent Safety Authors: Sanidhya Vijayvargiya; Aditya Bharat Soni; Xuhui Zhou; Zora Zhiruo Wang; Nouha Dziri; Graham Neubig; Maarten Sap Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Agents; Safety; Risks; Datasets; Benchmarks; Tool-Use; User Interactions; Frameworks; fairness; safety; privacy; and societal considerations
481	Operationalizing Data Minimization for Privacy-Preserving LLM Prompting Authors: Jijie Zhou; Niloofar Mireshghallah; Tianshi Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: NLP; privacy; LLM; data minimization; data sanitization; fairness; safety; privacy; and societal considerations
482	Opponent Shaping in LLM Agents Authors: Marta Emili García Segura; Stephen Hailes; Mirco Musolesi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Agents; Opponent Shaping; Multi-agent Systems; fairness; safety; privacy; and societal considerations
483	Optimal Transport-Induced Samples against Out-of-Distribution Overconfidence Authors: Keke Tang; Ziyong Du; Xiaofei Wang; Weilong Peng; Peican Zhu; Zhihong Tian Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: out-of-distribution; overconfidence; optimal transport; fairness; safety; privacy; and societal considerations
484	Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards Authors: Shirley Wu; Parth Sarthi; Shiyu Zhao; Aaron Lee; Herumb Shandilya; Adrian Mladenic Grobelnik; Nurendra Choudhary; Edward W Huang; Karthik Subbian; Linjun Zhang; Diyi Yang; James Z… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Compound AI System; Heterogenous Configuration; Optimization; Local Rewards; fairness; safety; privacy; and societal considerations
485	Optimizing Agent Planning for Security and Autonomy Authors: Aashish Kolluri; Rishi Sharma; Manuel Costa; Boris Köpf; Tobias Nießen; Mark Russinovich; Shruti Tople; Santiago Zanella-Beguelin Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Agents; Security; Prompt Injection Attacks; Information Flow Control; Autonomy; fairness; safety; privacy; and societal considerations
486	Optimizing Canaries for Privacy Auditing with Metagradient Descent Authors: Matteo Boglioni; Terrance Liu; Andrew Ilyas; Steven Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: differential privacy; auditing; metagradient optimization; fairness; safety; privacy; and societal considerations
487	OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment Authors: Liang Lin; Zhihao Xu; Junhao Dong; Jian Zhao; Yuchen Yuan; Guibin Zhang; Miao Yu; Yiming Zhang; Zhengtao Yao; Huahui Yi; HAICHUAN TANG; Dongrui Liu; Xinfeng Li; Kun Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: alignment; fairness; safety; privacy; and societal considerations
488	Out of the Shadows: Exploring a Latent Space for Neural Network Verification Authors: Lukas Koller; Tobias Ladner; Matthias Althoff Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Neural Network Verification; Zonotope; Set-Based Computing; Latent Space; Formal Methods; fairness; safety; privacy; and societal considerations
489	Output Supervision Can Obfuscate the Chain of Thought Authors: jacob drori; Luke Marks; Bryce Woodworth; Alex Cloud; Alexander Matt Turner Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: chain of thought; monitoring; CoT; supervision; monitor; obfuscation; fairness; safety; privacy; and societal considerations
490	PALC: Preference Alignment via Logit Calibration Authors: SANGHYUN LEE; Hoh Peter In Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI alignment; Representation Editing; fairness; safety; privacy; and societal considerations
491	PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text Authors: Tianyuan Zou; Zinan Lin; Sivakanth Gopi; Yang Liu; Ya-Qin Zhang; Robert Sim; Xin Deng; Sergey Yekhanin Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Differential Privacy; Private Evolution; Generation Model; fairness; safety; privacy; and societal considerations
492	PLAGUE: Plug-and-play Framework for Lifelong Adaptive Generation of Multi-turn Jailbreaks Authors: Neeladri Bhuiya; Madhav Aggarwal; Diptanshu Purwar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Red-Teaming; Agentic AI; fairness; safety; privacy; and societal considerations
493	PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints Authors: Jiahao Huo; Shuliang Liu; Bin Wang; Junyan Zhang; Yibo Yan; Aiwei Liu; Xuming Hu; Mingxun Zhou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Semantic-level Watermark; Text Watermark; AI Security; fairness; safety; privacy; and societal considerations
494	PRISON: Unmasking the Criminal Potential of Large Language Models Authors: Xinyi Wu; Geng Hong; Pei Chen; Yueyue Chen; Xudong Pan; Min Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Criminal Potential; Behavioral Safety; Social Impact; fairness; safety; privacy; and societal considerations
495	Pay Less Attention to Function Words for Free Robustness of Vision-Language Models Authors: Qiwei Tian; Chenhao Lin; Zhengyu Zhao; Chao Shen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Vision-Language Model; Concentrated Attention; Adversarial Robustness; fairness; safety; privacy; and societal considerations
496	Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models Authors: Leander Girrbach; Stephan Alaniz; Genevieve Smith; Trevor Darrell; Zeynep Akata Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: dataset bias; model bias; laion-400m; fairness; safety; privacy; and societal considerations
497	Persona Features Control Emergent Misalignment Authors: Miles Wang; Tom Dupre la Tour; Olivia Watkins; Aleksandar Makelov; Ryan Andrew Chi; Samuel Miserendino; Jeffrey George Wang; Achyuta Rajaram; Johannes Heidecke; Tejal Patwardhan;… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: interpretability; alignment; safety; fairness; safety; privacy; and societal considerations
498	Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers Authors: Jinlin Liu; Wei Chen; Xiaojin Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: unlearnable examples; data protection; linear model; shortcut; linearity; fairness; safety; privacy; and societal considerations
499	Pisces: Cryptography-based Private Retrieval-Augmented Generation with Dual-Path Retrieval Authors: Xiaojian Liang; Lushan Song; Shishuai Du; Weicheng Zhu; Tan Li Hui Faith; Jun Jie Sim; Haibing Jin; Zhenghao Wu; Yingting Liu; Xin Zhang; Jiang-Ming Yang; Pu Duan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Privacy-Preserving; Cryptography; fairness; safety; privacy; and societal considerations
500	PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives Authors: Zhaowei Zhang; Xiaobo Wang; Minghua Yi; Mengmeng Wang; Fengshuo Bai; Zilong Zheng; Yipeng Kang; Yaodong Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Generative Consensus Finding; Collective Decision Making; AI for Societal Efficiency; fairness; safety; privacy; and societal considerations
501	Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMs Authors: Ming Wen; Kun Yang; Xin Chen; Jingyu Zhang; DINGDING HAN; shiwen cui; Yuedong Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: safety; alignment; MLLM; VLM; safety-helpfulness trade-off; fairness; safety; privacy; and societal considerations
502	Prediction with Expert Advice under Local Differential Privacy Authors: Ben Jacobsen; Kassem Fawaz Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: privacy; differential privacy; online learning; online linear optimization; local differential privacy; fairness; safety; privacy; and societal considerations
503	Preference Leakage: A Contamination Problem in LLM-as-a-judge Authors: Dawei Li; Renliang Sun; Yue Huang; Ming Zhong; Bohan Jiang; Jiawei Han; Xiangliang Zhang; Wei Wang; huan liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM-as-a-judge; Preference Leakage; Data Contamination; fairness; safety; privacy; and societal considerations
504	Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Authors: Joseph Fioresi; Ishan Rajendrakumar Dave; Mubarak Shah Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Privacy Preservation; Video Understanding; fairness; safety; privacy; and societal considerations
505	Private Rate-Constrained Optimization with Applications to Fair Learning Authors: Mohammad Yaghini; Tudor Cebere; Michael Menart; Aurélien Bellet; Nicolas Papernot Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: differential privacy; fairness; machine learning; fairness; safety; privacy; and societal considerations
506	ProSafePrune: Projected Safety Pruning for Mitigating Over-Refusal in LLMs Authors: Zijun Chen; Wenbo Hu; Ya Li; Lei Miao; Guoping Hu; Richang Hong Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Safety; Over-Refusal; Alignment; fairness; safety; privacy; and societal considerations
507	Propaganda AI: An Analysis of Semantic Divergence in Large Language Models Authors: Nay Myat Min; Long H. Pham; Yige Li; Jun Sun Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models (LLMs); LLM Security; Semantic Divergence; Semantic Inconsistency; Black-box Auditing; fairness; safety; privacy; and societal considerat…
508	PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach Authors: Udari Madhushani Sehwag; Shayan Shabihi; Alex McAvoy; Vikash Sehwag; Yuancheng Xu; Dalton towers; Furong Huang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: agentic misalignment; dataset and benchmark; LLM safety; fairness; safety; privacy; and societal considerations
509	Protection against Source Inference Attacks in Federated Learning Authors: Andreas Athanasiou; Kangsoo Jung; Catuscia Palamidessi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated Learning; Source Inference Attack; Shuffle Model; Residue Number System; fairness; safety; privacy; and societal considerations
510	RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM Alignment Authors: Xiaoyang Cao; Zelai Xu; Mo Guang; Kaiwen Long; Michiel A. Bakker; Yu Wang; Chao Yu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: large language model; alignment; robustness; fairness; safety; privacy; and societal considerations
511	REAL: Reading Out Transformer Activations for Precise Localization in Language Model Steering Authors: Li-Ming Zhan; Bo LIU; Yujie Feng; Chengqiang Xie; Jiannong Cao; Xiao-Ming Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: language modeling; representation engineering; fairness; safety; privacy; and societal considerations
512	RESCUE: Retrieval Augmented Secure Code Generation Authors: Jiahao Shi; Tianyi Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: secure code generation; retrieval augmented generation; fairness; safety; privacy; and societal considerations
513	RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility Authors: Dawood Wasif; Terrence J Moore; Jin-Hee Cho Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated Learning; Fairness; Privacy; Adversarial Representation Learning; Uncertainty Quantification; fairness; safety; privacy; and societal considerations
514	ReTrace: Reinforcement Learning-Guided Reconstruction Attacks on Machine Unlearning Authors: Mengyao Ma; Shuofeng Liu; Jason Xue; Surya Nepal; Guangdong Bai Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine Unlearning; Reinforcement Learning; Reconstruction Attack; fairness; safety; privacy; and societal considerations
515	Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-Check Authors: Chentao Cao; Xiaojun Xu; Bo Han; Hang Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreak Defense; Safety Alignment; Post-training; fairness; safety; privacy; and societal considerations
516	Reasoning Boosts Opinion Alignment in LLMs Authors: Frédéric Berdoz; Yann Billeter; Yann Vonlanthen; Roger Wattenhofer Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Opinion modeling; Alignement; LLMs; Reasoning; fairness; safety; privacy; and societal considerations
517	RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents Authors: Chengquan Guo; Chulin Xie; Yu Yang; Zhaorun Chen; Zinan Lin; Xander Davies; Yarin Gal; Dawn Song; Bo Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Code generation; safety; security; fairness; safety; privacy; and societal considerations
518	Reducing information dependency does not cause training data privacy. Adversarially non-robust features do. Authors: Rasmus Torp; Shailen Smith; Adam Breuer Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Privacy; model inversion attacks; extraction attacks; adversarial examples; memorization; training data; causal inference; causality; fairness; safety; privacy…
519	References Improve LLM Alignment in Non-Verifiable Domains Authors: Kejian Shi; Yixin Liu; PeiFeng Wang; Alexander Fabbri; Shafiq Joty; Arman Cohan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Alignment; LLM-as-a-Judge; Alignment Evaluation; Preference Optimization; fairness; safety; privacy; and societal considerations
520	Regulating Internal Alignment Flows for Robust Learning Under Spurious Correlations Authors: Rajeev Ranjan Dwivedi; Mohammedkaif Mohammedrafiq Kalagond; Niramay M.Patel; Vinod K. Kurmi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fairness; Regularization; Bias Free; fairness; safety; privacy; and societal considerations
521	Reinforcement Unlearning via Group Relative Policy Optimization Authors: Efstratios Zaradoukas; Bardh Prenkaj; Gjergji Kasneci Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine Unlearning; Group Relative Policy Optimization; Reinforcement Learning; Large Language Models; Preference Optimization; fairness; safety; privacy; and…
522	RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization Authors: Wen Huang; Jiarui Yang; Tao Dai; Jiawei Li; Shaoxiong Zhan; Bin Wang; Shu-Tao Xia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Image Manipulation Localization; Video Manipulation Localization; fairness; safety; privacy; and societal considerations
523	Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Authors: Mingda Zhang; Mingli Zhu; Zihao Zhu; Li Shen; Baoyuan Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Backdoor Defense; Poisoned Sample Detection; AI security; fairness; safety; privacy; and societal considerations
524	RepIt: Steering Language Models with Concept-Specific Refusal Vectors Authors: Vincent Siu; Nathan W. Henry; Nicholas Crispino; Yang Liu; Dawn Song; Chenguang Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: interpretability; representations; steering; safety; fairness; safety; privacy; and societal considerations
525	Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning Failures Authors: Sangyeon Yoon; Hyesoo Hong; Wonje Jeung; Albert No Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Machine Unlearning; fairness; safety; privacy; and societal considerations
526	Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models Authors: Jin Liu; Yinbin Miao; Ning Xi; Junkang Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated Learning; Differential Privacy; LoRA.; fairness; safety; privacy; and societal considerations
527	Rethinking Pareto Frontier: On the Optimal Trade-offs in Fair Classification Authors: Junyi Chai; Shenyu Lu; Xiaoqian Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: fairness-accuracy tradeoff; fairness; safety; privacy; and societal considerations
528	Robust Adversarial Attacks Against Unknown Disturbance via Inverse Gradient Sample Authors: Zhaoyang Zhang; Shen Wang; Runze Liu; Guopu Zhu; Fanghui Sun; Ye Lu; Zeyue Wang; Yihan Yan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial sample; Transferable attack; fairness; safety; privacy; and societal considerations
529	Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation Authors: Shojiro Yamabe; Kazuto Fukuchi; Jun Sakuma Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Renforcement Learning; Robustness; Adversarial Attack; fairness; safety; privacy; and societal considerations
530	Robust Optimization for Mitigating Reward Hacking with Correlated Proxies Authors: Zixuan Liu; Xiaolin Sun; Zizhan Zheng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Reward hacking; Robust Reinforcement Learning; fairness; safety; privacy; and societal considerations
531	Robust Preference Alignment via Directional Neighborhood Consensus Authors: Ruochen Mao; Yuling Shi; Xiaodong Gu; Jiaheng Wei Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Preference Alignment; Inference-Time Method; fairness; safety; privacy; and societal considerations
532	Routing, Cascades, and User Choice for LLMs Authors: Rafid Mahmood Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM routing; human-AI interaction; game theory; fairness; safety; privacy; and societal considerations
533	SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing Authors: Anjali Parashar; Yingke Li; Eric Yang Yu; Fei Chen; James Neidhoefer; Devesh Upadhyay; Chuchu Fan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Ethical AI; Bayesian Experimental Design; System-level Evaluation; fairness; safety; privacy; and societal considerations
534	SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks Authors: Mingqian Feng; Xiaodong Liu; Weiwei Yang; Jialin Song; Xuekai Zhu; Chenliang Xu; Jianfeng Gao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: jailbreak; attack; multi-turn; reinforcement learning; large language model; fairness; safety; privacy; and societal considerations
535	SIGMark: Scalable In-Generation Watermark with Blind Extraction for Video Diffusion Authors: Xinjie zhu; Zijing Zhao; Hui Jin; Qingxiao Guo; Yilong Ma; YUNHAO WANG; Xiaobing Guo; Weifeng Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: watermarking; video generation; fairness; safety; privacy; and societal considerations
536	SMOTE and Mirrors: Exposing Privacy Leakage from Synthetic Minority Oversampling Authors: Georgi Ganev; MohammadReza Nazari; Rees Davison; Amirhassan Fallah Dizche; XINMIN WU; Ralph Abbey; Jorge G Silva; Emiliano De Cristofaro Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: smote; synthetic data generation; privacy attacks; fairness; safety; privacy; and societal considerations
537	STAR: Strategy-driven Automatic Jailbreak Red-teaming For Large Language Model Authors: Jianing Liu; Qingming Li; Jiahao Chen; Rui Zeng; Binbin Zhao; Shouling Ji Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Model; Jailbreak Attack; Red-teaming; fairness; safety; privacy; and societal considerations
538	STEDiff: Revealing the Spatial and Temporal Redundancy of Backdoor Attacks in Text-to-Image Diffusion Models Authors: Yu Pan; Jiahao Chen; Lin Wang; Bingrong Dai; Wenjie Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Diffusion Models; Backdoor Attacks; Backdoor Defense; AI Security; fairness; safety; privacy; and societal considerations
539	SafeMoE: Safe Fine-Tuning for MoE LLMs by Aligning Harmful Input Routing Authors: Jaehan Kim; Minkyoo Song; Seungwon Shin; Sooel Son Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI safety; Large language model; Mixture-of-Experts; fairness; safety; privacy; and societal considerations
540	Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment Authors: Tianyu Chen; Jian Lou; Wenjie Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Watermark; VLM; Dataset Copyright Protection; fairness; safety; privacy; and societal considerations
541	Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense Authors: Guobin Shen; Dongcheng Zhao; Haibo Tong; Jindong Li; Feifei Zhao; Yi Zeng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Jailbreak Defense; Self-Alignment; Intrinsic Safety; fairness; safety; privacy; and societal considerations
542	Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning Authors: Yiwei Chen; Yuguang Yao; Yihua Zhang; Bingquan Shen; Gaowen Liu; Sijia Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: VLM safety; fairness; safety; privacy; and societal considerations
543	Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case Study Authors: Kaustubh Ponkshe; Shaan Shah; Raghav Singhal; Praneeth Vepakomma Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety; Alignment; Harmful Fine-Tuning; Large Language Models; fairness; safety; privacy; and societal considerations
544	Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance Authors: Jiawen Zhang; Tony He; Kejia Chen; Jian Lou; Jian Liu; Xiaohu Yang; Ruoxi Jia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety Alignment; Large Language Models; Fine-tuning Attack; fairness; safety; privacy; and societal considerations
545	Sampling-aware Adversarial Attacks Against Large Language Models Authors: Tim Beyer; Yan Scholten; Leo Schwinn; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: llms; adversarial attacks; jailbreak; sampling; efficiency; fairness; safety; privacy; and societal considerations
546	SeRI: Gradient-Free Sensitive Region Identification in Decision-Based Black-Box Attacks Authors: Feiyang Wang; Xingquan Zuo; Hai Huang; Gang Chen; Hangwei Qian Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine learning; AI safety; Decision-based adversarial attacks; Sensitive region; fairness; safety; privacy; and societal considerations
547	Searching for Privacy Risks in LLM Agents via Simulation Authors: Yanzhe Zhang; Diyi Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Agent; Privacy; Search; AI Risk; fairness; safety; privacy; and societal considerations
548	SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC Authors: Jinglong Luo; Zhuo Zhang; Yehong Zhang; Shiyu Liu; Ye Dong; Hui Wang; Yue Yu; Xun Zhou; Zenglin Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: privacy-preserving; secure multi-party computation; large-language models; prompt tuning; fairness; safety; privacy; and societal considerations
549	Secret-Protected Evolution for Differentially Private Synthetic Text Generation Authors: Tianze Wang; Zhaoyu Chen; Jian Du; Yingtai Xiao; Linjun Zhang; Qiang Yan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: synthetic data; differential privacy; fairness; safety; privacy; and societal considerations
550	Secure Inference for Diffusion Models via Unconditional Scores Authors: Jaeyun Song; Geondo Park; Uigyu Kim; Joonhyung Park; Eunho Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: privacy-preserving inference; diffusion models; fairness; safety; privacy; and societal considerations
551	Secure Outlier-Aware Large Language Model Inference Authors: Lifan Zhao; Zhixuan Fang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Multiparty Computation; Privacy Perserving Machine Learning; Secure LLM Inference; fairness; safety; privacy; and societal considerations
552	SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From Authors: Yao Tong; Haonan Wang; Siquan Li; Kenji Kawaguchi; Tianyang Hu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: fingerprint; LLM; fairness; safety; privacy; and societal considerations
553	Self-Destructive Language Models Authors: Yuhui Wang; Rongyi Zhu; Ting Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Self-destructive Model; Safety Alignment; Harmful Fine-tuning Attack; fairness; safety; privacy; and societal considerations
554	Self-Jailbreaking: Language Models Can Reason Themselves Out of Safety Alignment After Benign Reasoning Training Authors: Zheng Xin Yong; Stephen Bach Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Reasoning Models; Safety Alignment; fairness; safety; privacy; and societal considerations
555	Sharpness-Aware Machine Unlearning Authors: Haoran Tang; Rajiv Khanna Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine Unlearning; Sharpness-Aware Minimization; fairness; safety; privacy; and societal considerations
556	Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems Authors: Yuhao Wang; Wenjie Qu; Shengfang Zhai; Yanze Jiang; Liu Zichen; Yue Liu; Yinpeng Dong; Jiaheng Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: security and privacy; security/privacy; red teaming; fairness; safety; privacy; and societal considerations
557	Skirting Additive Error Barriers for Private Turnstile Streams Authors: Anders Aamand; Justin Y. Chen; Sandeep Silwal Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Differential privacy; streaming; distinctelements; fairness; safety; privacy; and societal considerations
558	SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks Authors: Seungwon Jeong; Jiwoo Jeong; Hyeonjin Kim; Yunseok Lee; Woojin Lee Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Jailbreak; Adversarial Attack; Safe AI; Safety; fairness; safety; privacy; and societal considerations
559	SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests Authors: Punya Syon Pandey; Lê Hải Sơn; Devansh Bhardwaj; Zhijing Jin Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: alignment; red-teaming; safety; robustness; sociopolitical risks; democracy defense; societal good; evaluation benchmark; fairness; safety; privacy; and societ…
560	Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability Authors: Taylor Sorensen; Benjamin Newman; Jared Moore; Chan Young Park; Jillian Fisher; Niloofar Mireshghallah; Liwei Jiang; Yejin Choi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: post-training; language models; distributional learning; alignment; pluralistic alignment; uncertainty estimation; fairness; safety; privacy; and societal cons…
561	Spilled Energy in Large Language Models Authors: Adrian Robert Minut; Hazem Dewidar; Iacopo Masi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; hallucination detection; EBM; fairness; safety; privacy; and societal considerations
562	Spilling the Beans: Teaching LLMs to Self-Report Their Hidden Objectives Authors: Chloe Li; Mary Phuong; Daniel Tan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: honesty; honesty finetuning; interrogation; alignment auditing; fairness; safety; privacy; and societal considerations
563	Statistical Guarantees in the Search for Less Discriminatory Algorithms Authors: Chris Hays; Benjamin Laufer; Solon Barocas; Manish Raghavan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: fairness; anytime-valid inference; sequential decision-making; fairness; safety; privacy; and societal considerations
564	Steering Diffusion Models Towards Credible Content Recommendation Authors: Zhuo Cai; Shoujin Wang; Jin Li; Peilin Zhou; Victor W. Chu; Fang Chen; Tianqing Zhu; Charu C. Aggarwal Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Credible content recommendation; Societal Considerations; Diffusion models; fairness; safety; privacy; and societal considerations
565	Steering Evaluation-Aware Language Models To Act Like They Are Deployed Authors: Tim Tian Hua; Andrew Qin; Samuel Marks; Neel Nanda Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI safety; Interpretability; fairness; safety; privacy; and societal considerations
566	Steering Language Models with Weight Arithmetic Authors: Constanza Fierro; Fabien Roger Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: steering; alignment; safety; model editing; merging models; fairness; safety; privacy; and societal considerations
567	Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs Authors: Dong Yan; Jian Liang; Ran He; Tieniu Tan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Privacy leakage; Inference-preventing optimization; Text anonymization; Attribute inference attack; Large language models; fairness; safety; privacy; and socie…
568	Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs Authors: Alexander Panfilov; Evgenii Kortukov; Kristina Nikolić; Matthias Bethge; Sebastian Lapuschkin; Wojciech Samek; Ameya Prabhu; Maksym Andriushchenko; Jonas Geiping Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: jailbreaks; ai safety; emergent misalignment; evaluations; interpretability; fairness; safety; privacy; and societal considerations
569	Strategic Obfuscation of Deceptive Reasoning in Language Models Authors: Arun Jose; Niels Warncke; Mia Taylor Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: ai safety; chain-of-thought monitoring; alignment faking; deceptive alignment; unfaithful chain-of-thought; fairness; safety; privacy; and societal considerati…
570	Superficial Safety Alignment Hypothesis Authors: Jianwei Li; Jung-Eun Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Model; Safety Alignment; fairness; safety; privacy; and societal considerations
571	Swap-guided Preference Learning for Personalized Reinforcement Learning from Human Feedback Authors: Gihoon Kim; Euntai Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Ranking and Preference Learning; Latent Variable Models; fairness; safety; privacy; and societal considerations
572	Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts Authors: Kartik Sharma; Yiqiao Jin; Vineeth Rakesh; Yingtong Dou; Menghai Pan; Mahashweta Das; Srijan Kumar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; AI Safety; Jailbreaks; Guardrails; Frozen Model adaptation; fairness; safety; privacy; and societal considerations
573	TAO-Attack: Toward Advanced Optimization-Based Jailbreak Attacks for Large Language Models Authors: Zhi Xu; Jiaqi Li; Xiaotong Zhang; Hong Yu; Han Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreaking Attacks; Large Language Models; fairness; safety; privacy; and societal considerations
574	THE SELF-RE-WATERMARKING TRAP: FROM EXPLOIT TO RESILIENCE Authors: Vithurabiman Senthuran; Yong Xiang; Iynkaran Natgunanathan; Uthayasanker Thayasivam Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: watemarking; deep learning; AI Security; Re-Watermarking; attack; fairness; safety; privacy; and societal considerations
575	Teach to Reason Safely: Policy-Guided Safety Tuning for MLRMs Authors: Jingyu Zhang; Kun Yang; Ming Wen; Zhuoer Xu; Zeyang Sha; shiwen cui; Zhaohui Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: MLRM; safety; alignment; safety-helpfulness trade-off; fairness; safety; privacy; and societal considerations
576	Test-Time Poisoned Sample Detection by Exploiting Shallow Malicious Matching in Backdoored CLIP Authors: Zhengyao Song; Meixi Zheng; Ke Xu; Yongqiang Li; Baoyuan Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: poisoned sample detection; backdoor defense; CLIP; shallow malicious matching; fairness; safety; privacy; and societal considerations
577	The Achilles’ Heel of LLMs: How Altering a Handful of Neurons Can Cripple Language Abilities Authors: Zixuan Qin; Qingchen Yu; Kunlin Lyu; Zhaoxin Fan; Yifan Sun Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Ultra-sparse neuron sets; Perturbation-based identification; Catastrophic failure; fairness; safety; privacy; and societal considerations
578	The Alignment Waltz: Jointly Training Agents to Collaborate for Safety Authors: Jingyu Zhang; Haozhu Wang; Eric Michael Smith; Sid Wang; Amr Sharaf; Mahesh Pasupuleti; Benjamin Van Durme; Daniel Khashabi; Jason E Weston; Hongyuan Zhan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: safety alignment; multi-agent reinforcement learning; fairness; safety; privacy; and societal considerations
579	The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs Authors: Zichen Wen; Jiashu Qu; Zhaorun Chen; Xiaoya Lu; Dongrui Liu; Zhiyuan Liu; Ruixi Wu; Yicun Yang; Xiangqi Jin; Haoyun Xu; Xuyang Liu; Weijia Li; Chaochao Lu; Jing Shao; Conghui He;… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Diffusion LLMs; Safety; Jailbreak Attack; fairness; safety; privacy; and societal considerations
580	Thinking as Society: Multi-Social-Agent Self-Distillation for Multimodal Misinformation Detection Authors: Yifei Gao; Ning Xu; Wenhui Li; Hongshuo Tian; Lanjun Wang; Anan Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Multimodal Misinformation Detection; Multimodal Large Language Models; Multi-Social-Agent Self-Distillation; fairness; safety; privacy; and societal considerat…
581	Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks Authors: Yi Yu; Qixin Zhang; Shuhan Ye; Xun Lin; Qianshan Wei; Kun Wang; Wenhan Yang; Dacheng Tao; Xudong Jiang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: spiking neural networks; event dataset; snn; attacks; adversarial attacks; fairness; safety; privacy; and societal considerations
582	Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks Authors: Yubo Li; Ramayya Krishnan; Rema Padman Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Survival Analysis; Consistency; Multi-turn Dialogue; Time-to-Event Modeling; LLM Robustness; fairness; safety; privacy; and societal con…
583	Token-level Data Selection for Safe LLM Fine-tuning Authors: Yanping Li; Zhening Liu; Zijian Li; Zehong Lin; Jun Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; LLM safety; fairness; safety; privacy; and societal considerations
584	Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders Authors: Guangzhi Xiong; Zhenghao He; Bohan Liu; Sanchit Sinha; Aidong Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Sparse Autoencoder; Model Interpretability; Retreival-augmented Generation; LLM Hallucination; RAG Faithfulness; fairness; safety; privacy; and societal consid…
585	Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability Authors: Shojiro Yamabe; Jun Sakuma Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: safety; jailbreak; diffusion language models; fairness; safety; privacy; and societal considerations
586	Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models Authors: Kaiyuan Cui; Yige Li; Yutao Wu; Xingjun Ma; Sarah Monazam Erfani; Christopher Leckie; Hanxun Huang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Vision-language model; Jailbreak; Transferability; fairness; safety; privacy; and societal considerations
587	Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment Authors: Cyrus Cousins; Vijay Keswani; Vincent Conitzer; Hoda Heidari; Jana Schaich Borg; Walter Sinnott-Armstrong Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Human-Centric AI; Moral Preference Elicitation; Axiomatic Analysis; Interpretable Machine Learning; fairness; safety; privacy; and societal considerations
588	Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting Without Disclosure Authors: Hanlin Gu; Hong Xi Tae; Lixin Fan; Chee Seng Chan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated Learning; Machine Unlearning; Privacy-Preserving; fairness; safety; privacy; and societal considerations
589	Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention Authors: Yichi Zhang; Yue Ding; Jingwen Yang; Tianwei Luo; Dongbai Li; Ranjie Duan; Qiang Liu; Hang Su; Yinpeng Dong; Jun Zhu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Reasoning Model; Safety Alignment; fairness; safety; privacy; and societal considerations
590	Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer Authors: Simon Schrodi; Elias Kempf; Fazl Barez; Thomas Brox Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: subliminal learning; hidden bias transfer; LLMs; finetuning; distillation; alignment; safety; fairness; safety; privacy; and societal considerations
591	Traceable Black-Box Watermarks For Federated Learning Authors: Jiahao Xu; Rui Hu; Olivera Kotevska; Zikai Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated Learning; Watermark; Black-box watermark; Intellectual property protection; fairness; safety; privacy; and societal considerations
592	Transferable and Stealthy Adversarial Attacks on Large Vision-Language Models Authors: Zhewen Yao; Yao Zhu; Shiliang Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Attacks; Robustness; fairness; safety; privacy; and societal considerations
593	Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks Authors: Ruohao Guo; Afshin Oroojlooy; Roshan Sridhar; Miguel Ballesteros; Alan Ritter; Dan Roth Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: red-teaming; LLM safety; reinforcement learning; fairness; safety; privacy; and societal considerations
594	TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks Authors: Amira Guesmi; Bassem ouni; Muhammad Shafique Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Patch-based attacks; adversarial transferability; model quantization; fairness; safety; privacy; and societal considerations
595	TrojanTO: Action-Level Backdoor Attacks Against Trajectory Optimization Models Authors: Yang Dai; Oubo Ma; Xingxing Liang; Longfei Zhang; Xiaochun Cao; Shouling Ji; Jiaheng Zhang; Jincai Huang; Li Shen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Backdoor attack; Decision Transformer; Offline RL; fairness; safety; privacy; and societal considerations
596	Trust The Typical Authors: Debargha Ganguly; Sreehari Sankar; Biyao Zhang; Vikash Singh; Kanan Gupta; Harshini Kavuru; Alan Luo; Weicong Chen; Warren Richard Morningstar; Raghu Machiraju; Vipin Chaudhary Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Safety; Out-of-Distribution Detection; Jailbreaking; Representation Learning; Selective Generation; Anomaly Detection; fairness; safety; privacy; and socie…
597	Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations Authors: Pedro Lobato Ferreira; Wilker Aziz; Ivan Titov Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large language models; reward hacking; alignment; fairness; safety; privacy; and societal considerations
598	Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction Authors: Tianyi Alex Qiu; Micah Carroll; Cameron Allen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Language Model Evaluation; AI Alignment; AI Truthfulness and Deception; Large Language Models; fairness; safety; privacy; and societal considerations
599	Tug-of-War No More: Harmonizing Accuracy and Robustness in Vision-Language Models via Stability-Aware Task Vector Merging Authors: Junhao Dong; Xinghua Qu; Cong Zhang; Sua Qi Rong; Nguyen Duc Thai; Wenbo Pan; Xinfeng Li; Tongliang Liu; Piotr Koniusz; Yew-Soon Ong Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Vision-Language Model; Task Vector; Trade-Off; Robustness; fairness; safety; privacy; and societal considerations
600	ULD-Net: Enabling Ultra-Low-Degree Fully Polynomial Networks for Homomorphically Encrypted Inference Authors: Xi Xie; Ran Ran; Jiahui Zhao; Bin Lei; Zhijie Jerry Shi; Wujie Wen; Caiwen Ding Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Privacy-Preserving Machine Learning; efficient private inference; machine learning as a service; homomorphic encryption; Fully Polynomial Networks; Ultra-Low-D…
601	Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness Authors: Tsubasa Takahashi; Shojiro Yamabe; Futa Kai Waseda; Kento Sasaki Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Robustness; Differential Attention; Lipschitz Continuity; Adversarial Attack; fairness; safety; privacy; and societal considerations
602	Understanding and Improving Continuous LLM Adversarial Training via In-context Learning Theory Authors: Shaopeng Fu; Di Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM adversarial training; Jailbreak attacks; In-context learning; fairness; safety; privacy; and societal considerations
603	Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs Authors: Shangpin Peng; Weinong Wang; Zhuotao Tian; Senqiao Yang; Xing W; Haotian Xu; Chengquan Zhang; Takashi Isobe; Baotian Hu; Min Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Deep Learning; Large Language Model; Preference Learning; fairness; safety; privacy; and societal considerations
604	Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization Authors: Aurélien Bellet; Edwige Cyffers; Davide Frey; Romaric Gaudel; Dimitri Lerévérend; Francois Taiani Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Differential Privacy; Decentralized Learning; Matrix Mechanism; Gossip; fairness; safety; privacy; and societal considerations
605	Unifying Stable Optimization and Reference Regularization in RLHF Authors: Li He; Qiang Qu; He Zhao; Stephen Wan; Dadong Wang; Lina Yao; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: RLHF; LLM; Alignment; fairness; safety; privacy; and societal considerations
606	Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs Authors: Yiwei Chen; Soumyadeep Pal; Yimeng Zhang; Qing Qu; Sijia Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Machine Unlearning; fairness; safety; privacy; and societal considerations
607	VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language Models Authors: Hefei Mei; Zirui Wang; Shen You; Minjing Dong; Chang Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: adversarial attack; vision-encoder-only; large vision language models; downstream-agnostic; fairness; safety; privacy; and societal considerations
608	Video Unlearning via Low-Rank Refusal Vector Authors: Simone Facchiano; Stefano Saravalle; Matteo Migliarini; Edoardo De Matteis; Alessio Sampieri; Andrea Pilzer; Emanuele Rodolà; Indro Spinelli; Luca Franco; Fabio Galasso Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: video generation; machine unlearning; fairness; safety; privacy; and societal considerations
609	WARP: Weight Teleportation for Attack-Resilient Unlearning Protocols Authors: Mohammad mahdi Maheri; Xavier Cadet; Peter Chin; Hamed Haddadi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine unlearning; Approximate unlearning; Neural teleportation; Weight-space symmetries; Privacy attacks; Membership inference; Model inversion; Data reconst…
610	WRING Out The Bias: A Rotation-Based Alternative To Projection Debiasing Authors: Walter Gerych; Cassandra Parent; Quinn Perian; Rafiya Javed; Justin Solomon; Marzyeh Ghassemi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Vision Language Models; VLMs; bias; debias; fairness; safety; privacy; and societal considerations
611	WaterDrum: Watermark-based Data-centric Unlearning Metric Authors: Xinyang Lu; Xinyuan Niu; Gregory Kang Ruey Lau; Nhung Bui; Rachael Hwee Ling Sim; John Russell Himawan; Fanyu Wen; Chuan-Sheng Foo; See-Kiong Ng; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: machine unlearning; watermarking; metric; LLM; fairness; safety; privacy; and societal considerations
612	Watermark-based Attribution of AI-Generated Content Authors: Zhengyuan Jiang; Moyang Guo; Yuepeng Hu; Yupu Wang; Neil Zhenqiang Gong Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Image Watermark; Watermark-based Attribution; AI-generated Content; fairness; safety; privacy; and societal considerations
613	Weak-to-Strong Generalization with Failure Trajectories Authors: Ruimeng Ye; Zihan Wang; Yang Xiao; Zinan Ling; Manling Li; Bo Hui Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Weak-to-Strong Generalization; fairness; safety; privacy; and societal considerations
614	What Do Large Language Models Know About Opinions? Authors: Erfan Jahanparast; Zhiqing Hong; Serina Chang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: large language models; opinions; computational social science; interpretability; fairness; safety; privacy; and societal considerations
615	What happens when generative AI models train recursively on each others' outputs? Authors: Hung Anh Vu; Galen Reeves; Emily Wenger Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: model collapse; generative AI; fairness; safety; privacy; and societal considerations
616	When AI Agents Collude Online: Financial Fraud Risks by Collaborative LLM Agents on Social Platforms Authors: Qibing Ren; Zhijie Zheng; Jiaxuan Guo; Junchi Yan; Lizhuang Ma; Jing Shao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: financial fraud; multi-agent system; agent society; agent collusion; fairness; safety; privacy; and societal considerations
617	When Agents “Misremember” Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent Systems Authors: Naen Xu; Hengyu An; Shuo Shi; Jinghuai Zhang; Chunyi Zhou; Changjiang Li; Tianyu Du; Zhihui Fu; Jun Wang; Shouling Ji Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM for Social Science; Mandela Effect; Multi-agent System; Cognitive Bias; fairness; safety; privacy; and societal considerations
618	When Machine Learning Gets Personal: Evaluating Prediction and Explanation Authors: Louisa Cornelis; Guillermo Bernardez; Haewon Jeong; Nina Miolane Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fairness; explainability; personalization; fairness; safety; privacy; and societal considerations
619	When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining Authors: Zhihao Li; Gezheng Xu; Jiale Cai; Ruiyi Fang; Di Wu; Qicheng Lao; Charles Ling; Boyu Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: unlearnable examples; data privacy; fairness; safety; privacy; and societal considerations
620	When Silence Is Golden: Can LLMs Learn to Abstain in Temporal QA and Beyond? Authors: Xinyu Zhou; Chang Jin; Carsten Eickhoff; Zhijiang Guo; Seyed Ali Bahrainian Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Abstention; Temporal and non-temporal reasoning; Question answering; fairness; safety; privacy; and societal considerations
621	When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment Authors: Yuxin Xiao; Sana Tonekaboni; Walter Gerych; Vinith Menon Suriyakumar; Marzyeh Ghassemi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety Alignment; Jailbreak; Large Language Model; fairness; safety; privacy; and societal considerations
622	Where Did It Go Wrong? Attributing Undesirable LLM Behaviors via Representation Gradient Tracing Authors: Zhe Li; Wei Zhao; Yige Li; Jun Sun Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Large Language Models; Data Attribution; Model Auditing; fairness; safety; privacy; and societal considerations
623	Why Adversarially Train Diffusion Models? Authors: Maria Rosaria Briglia; Mujtaba Hussain Mirza; Giuseppe Lisanti; Iacopo Masi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Robustness; Adversarial training; fairness; safety; privacy; and societal considerations
624	Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning Authors: Wassim Bouaziz; Mathurin VIDEAU; Nicolas Usunier; El-Mahdi El-Mhamdi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: data poisoning; language model; ai security; dataset ownership verification; training data membership; privacy; copyright; fairness; safety; privacy; and socie…
625	Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents Authors: Shuai Shao; Qihan Ren; Dongrui Liu; Chen Qian; Boyi Wei; Dadi Guo; Yang JingYi; Xinhao Song; Linfeng Zhang; Weinan Zhang; Jing Shao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Self-Evolving Agent; Agent Safety; Large Language Models; Safety Evaluation; fairness; safety; privacy; and societal considerations
626	Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders Authors: Zhuxin Lei; Ziyuan Yang; Yi Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: adversarial robustness; self-supervised learning; pretrained models; security vulnerability; fairness; safety; privacy; and societal considerations
627	$\pi^3$: Permutation-Equivariant Visual Geometry Learning Authors: Yifan Wang; Jianjun Zhou; Haoyi Zhu; Wenzheng Chang; Yang Zhou; Zizun Li; Junyi Chen; Jiangmiao Pang; Chunhua Shen; Tong He Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Permutation-Equivariance; 3D reconstruction; Reference-Free; Camera Pose Estimation; Depth Estimation; audio; language; and other modalities
628	3D Scene Prompting for Scene-Consistent Camera-Controllable Video Generation Authors: JoungBin Lee; Jaewoo Jung; Jisang Han; Takuya Narihira; Kazumi Fukuda; Junyoung Seo; Sunghwan Hong; Yuki Mitsufuji; Seungryong Kim Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Scene-Consistent Video Generation; Camera-Controllable Video Generation; Video Diffusion Models; audio; language; and other modalities
629	3DGEER: 3D Gaussian Rendering Made Exact and Efficient for Generic Cameras Authors: Zixun Huang; Cho-Ying Wu; Yuliang Guo; Xinyu Huang; Liu Ren Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Volumetric Rendering; Differentiable Rendering; Novel View Synthesis; Radiance Fields; Neural Reconstruction; audio; language; and other modalities
630	3DSMT: A Hybrid Spiking Mamba-Transformer for Point Cloud Analysis Authors: Zhiming Zhou; Yong He; Qiaoyun Wu; Chaoxu Mu; Ajmal Saeed Mian Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Point Cloud Analysis; Spiking neural network; Spiking Local Offset Attention; Spiking Mamba Block; audio; language; and other modalities
631	A Problem-Oriented Perspective and Anchor Verification for Code Optimization Authors: Tong Ye; Tengfei Ma; Xuhong Zhang; Hang Yu; Jianwei Yin; Wenhai Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LLM4Code; Code Optimization; audio; language; and other modalities
632	A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features Authors: Axel Barroso-Laguna; Tommaso Cavallari; Victor Adrian Prisacariu; Eric Brachmann Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Visual Re-localization; Relative Pose Regression; Pose Estimation; Visual Localization; audio; language; and other modalities
633	A Step to Decouple Optimization in 3DGS Authors: Renjie Ding; Yaonan Wang; Min Liu; Jialin Zhu; Jiazheng Wang; Jiahao Zhao; Wenting Shen; Feixiang He; Xiang Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3DGS; optimizer; regularization; audio; language; and other modalities
634	A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models Authors: Jinyi Han; Xinyi Wang; Haiquan Zhao; tingyun li; Zishang Jiang; Sihang Jiang; Jiaqing Liang; Xin Alex Lin; Weikang Zhou; Zeye Sun; Fei Yu; Yanghua Xiao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large language models; Self-refine; audio; language; and other modalities
635	A Training-Free Framework for Long Video Understanding via Video-Query-Options Similarity Authors: Zhirong Wu; Xiaodong Wang; Langling Huang; Teng Xu; Peixi Peng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: long video understanding; multimodal large language model; audio; language; and other modalities
636	A.I.R.: Enabling Adaptive, Iterative, and Reasoning-based Frame Selection For Video Question Answering Authors: Yuanhao Zou; Shengji Jin; Andong Deng; Youpeng Zhao; Jun Wang; Chen Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Frame Selection; Vision Language Model; Training-Free; Video understanding; audio; language; and other modalities
637	AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation Authors: Tongfei Chen; Shuo Yang; Yuguang Yang; Linlin Yang; Runtang Guo; Changbai Li; He Long; Chunyu Xie; Dawei Leng; Baochang Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Reference Image Segmentation， Masked Learning， VLM; audio; language; and other modalities
638	AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions Authors: Jihyoung Jang; Hyounghun Kim Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Visual Question Answering; Vision–Language Models; audio; language; and other modalities
639	ARTDECO: Toward High-Fidelity On-the-Fly Reconstruction with Hierarchical Gaussian Structure and Feed-Forward Guidance Authors: Guanghao Li; Kerui Ren; Linning Xu; Zhewen Zheng; Changjian Jiang; Xin Gao; Bo Dai; Jian Pu; Mulin Yu; Jiangmiao Pang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Reconstruction; SLAM; Novel View Synthesis; audio; language; and other modalities
640	ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging Authors: Linfeng Ye; Shayan Mohajer Hamidi; Zhixiang Chi; Guang Li; Mert Pilanci; Takahiro Ogawa; Miki Haseyama; Konstantinos N. Plataniotis Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Whole slide image; Multiple instance learning; audio; language; and other modalities
641	ATTS: Asynchronous Test-Time Scaling via Conformal Prediction Authors: Jing Xiong; Qiujiang Chen; Fanghua Ye; Zhongwei Wan; Chuanyang Zheng; Chenyang Zhao; Hui Shen; Alexander Hanbo Li; Chaofan Tao; Haochen Tan; Haoli Bai; Lifeng Shang; Lingpeng Kong… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Conformal Prediction; Test-Time Scaling; Speculative Decoding; audio; language; and other modalities
642	AUHead: Realistic Emotional Talking Head Generation via Action Units Control Authors: Jiayi Lyu; Leigang Qu; Wenjing Zhang; Hanyu Jiang; Kai Liu; Zhenglin Zhou; Xiaobo Xia; Jian Xue; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Talking Head Generation; Diffusion model; audio; language; and other modalities
643	AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization Authors: Ashutosh Chaubey; Jiacheng Pang; Maksim Siniukov; Mohammad Soleymani Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MLLM; Emotion Recognition; Multimodal Reasoning; audio; language; and other modalities
644	AVEX: What Matters for Animal Vocalization Encoding Authors: Marius Miron; David Robinson; Milad Alizadeh; Ellen Gilsenan-McMahon; Gagan Narula; Emmanuel Chemla; Maddie Cusimano; Felix Effenberger; Masato Hagiwara; Benjamin Hoffman; Sara Ke… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: bioacoustics; evaluation; benchmarks; audio; sound; classification; detection; clustering; audio; language; and other modalities
645	AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration Authors: Xinlong Chen; Yue Ding; Weihong Lin; Jingyun Hua; Linli Yao; Yang Shi; Bozhou Li; Qiang Liu; Yuanxing Zhang; Pengfei Wan; Liang Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: caption; audio-visual; audio; language; and other modalities
646	A^2TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation Authors: Sheng-Chi Hsu; Ting-Yu Yen; Shih-Hsuan Hung; Hung-Kuo Chu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computer Vision; Novel View Synthesis:Neural Rendering; 3D Gaussian Splatting; audio; language; and other modalities
647	Action-Guided Attention for Video Action Anticipation Authors: Tsung-Ming Tai; Sofia Casarin; Andrea Pilzer; Werner Nutt; Oswald Lanz Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: video action anticipation; video understanding; audio; language; and other modalities
648	Active Learning of 3D Gaussian Splatting with Consistent Region Partition and Robust Pose Estimation Authors: Ruiqi Li; Yiu-ming Cheung Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Active Learning; 3D Gaussian Splatting; audio; language; and other modalities
649	AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization Authors: Chaohu Liu; Gui Tianyi; Yu Liu; Linli Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Vision-Language Models; Adversarial Training; audio; language; and other modalities
650	AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning Authors: Mingyang Song; Haoyu Sun; Jiawei Gu; Linjie Li; Ranjay Krishna; Yu Cheng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MLLMs; Visual Tools; Reinforcement Learning; audio; language; and other modalities
651	Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation Authors: Wangkai Li; Zhaoyang Li; Yuwen Pan; Rui Sun; Yujia Chen; Tianzhu Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LiDAR Semantic Segmentation; Autonomous Driving; Robust Learning for Adverse Weather; Data Augmentation; Domain Generalization; audio; language; and other moda…
652	Adaptive Domain Shift in Diffusion Models for Cross-Modality Image Translation Authors: Zihao WANG; Yuzhou Chen; Shaogang Ren Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Generative Learning; Image Computing; Imaging; audio; language; and other modalities
653	AgentFold: Long-Horizon Web Agents with Proactive Context Folding Authors: Rui Ye; Zhongwang Zhang; Kuan Li; Huifeng Yin; Zhengwei Tao; Yida Zhao; Liangcai Su; Liwen Zhang; Zile Qiao; Xinyu Wang; Pengjun Xie; Fei Huang; Jingren Zhou; Siheng Chen; Yong Ji… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Web Agent; Context Management; AI Agent; audio; language; and other modalities
654	Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models Authors: Yu Zeng; Wenxuan Huang; Shiting Huang; Xikun Bao; Yukun Qi; Yiming Zhao; Qiuchen Wang; Lin Chen; Zehui Chen; Huaian Chen; Wanli Ouyang; Feng Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: VLMs; Visual Understanding; audio; language; and other modalities
655	AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models Authors: Changwoo Baek; Jouwon Song; Sohyeon Kim; Kyeongbo Kong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Vision-Language Models; Visual Token Pruning; audio; language; and other modalities
656	AlignSep: Temporally-Aligned Video-Queried Sound Separation with Flow Matching Authors: Xize Cheng; Chenyuhao Wen; Slytherin Wang; Yongqi Wang; Zehan Wang; Rongjie Huang; Tao Jin; Zhou Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: sound separation; audio-visual alignment; audio; language; and other modalities
657	All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning Authors: Zheng Yang; Ruoxin Chen; Zhiyuan Yan; Ke-Yue Zhang; Xinghe Fu; Shuang Wu; Xiujun Shu; Taiping Yao; Shouhong Ding; Zequn Qin; Xi Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Generative Models; Synthetic Image Detection; AIGC Detection; audio; language; and other modalities
658	Analyzing the Training Dynamics of Image Restoration Transformers: A Revisit to Layer Normalization Authors: MinKyu Lee; Sangeek Hyun; Woojin Jun; Hyunjun Kim; Jiwoo Chung; Jae-Pil Heo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Low-level vision; image restoration; network architecture; normalization; audio; language; and other modalities
659	Anatomy-aware Representation Learning for Medical Ultrasound Authors: Seok-Hwan Oh; Myeong-Gee Kim; Guil Jung; hyeonjik lee; Young-Min Kim; Sang-yun Kim; Hyuksool Kwon; Hyeonmin Bae Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Foundation model; medical ultrasound; representation learning; audio; language; and other modalities
660	Animating the Uncaptured: Humanoid Mesh Animation with Video Diffusion Models Authors: Marc Benedí San Millán; Angela Dai; Matthias Nießner Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Motion generation; Motion Tracking & Transfer; audio; language; and other modalities
661	Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model Authors: Yang Yang; Siming Zheng; Qirui Yang; Jinwei Chen; Boxi Wu; Xiaofei He; Deng Cai; Bo Li; Peng-Tao Jiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computational photography; audio; language; and other modalities
662	AnyTouch 2: General Optical Tactile Representation Learning For Dynamic Tactile Perception Authors: Ruoxuan Feng; Yuxuan Zhou; Siyu Mei; Dongzhan Zhou; Pengwei Wang; Shaowei Cui; Bin Fang; Guocai Yao; Di Hu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Tactile Representation Learning; Tactile Dataset; Dynamic Tactile Perception; audio; language; and other modalities
663	Arbitrary Generative Video Interpolation Authors: Guozhen Zhang; Haiguang Wang; Chunyu Wang; Yuan Zhou; Qinglin Lu; Limin Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Frame Interpolation; ROPE; Video Generation; audio; language; and other modalities
664	Arbitrary-Shaped Image Generation via Spherical Neural Field Diffusion Authors: Jiyuan Xia; Yuanshen Guan; Ruikang Xu; Zhiwei Xiong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion Models; Image Generation; Spherical Neural Field; audio; language; and other modalities
665	Are Deep Speech Denoising Models Robust to Adversarial Noise? Authors: Will Schwarzer; Andrea Fanelli; Philip S. Thomas; Xiaoyu Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Adversarial Robustness; Adversarial Perturbations; Security; Safety; Speech Enhancement; Speech Denoising; Noise Suppression; Deep Noise Suppression; Psychoaco…
666	ArtUV: Artist-style UV Unwrapping Authors: Yuguang Chen; Xinhai Liu; YANG LI; Victor Cheung; Zhuo Chen; Dongyu Zhang; Chunchao Guo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: UV unwrapping; Artist-style; Auto-Encoder; audio; language; and other modalities
667	Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement Authors: Hao Ai; Wenjie Chang; Jianbo Jiao; Ales Leonardis; Eyal Ofek Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Articulated object understanding; dual-Gaussian representation; Prior-free Motion-based part segmentation; audio; language; and other modalities
668	AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval Authors: Kai Zhang; Xinyuan Zhang; Ejaz Ahmed; Hongda Jiang; Caleb Kumar; Kai Sun; Zhaojiang Lin; Sanat Sharma; Shereen Oraby; AARON COLAK; Ahmed A Aly; Anuj Kumar; Xiaozhong Liu; Xin Luna… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: memory-augmented LLM; scalable retrieval; memory question answering; audio; language; and other modalities
669	Astraea: A Token-wise Acceleration Framework for Video Diffusion Transformers Authors: Haosong Liu; Yuge Cheng; Wenxuan Miao; Zihan Liu; Aiyue Chen; Jing Lin; Yiwu Yao; Chen Chen; Jingwen Leng; Minyi Guo; Yu Feng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: video diffusion acceleration; audio; language; and other modalities
670	Asymmetric Synthetic Data Update for Domain Incremental Dataset Distillation Authors: Minyoung Oh; Jae-Young Sim Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Dataset Distillation; Continual Learning; audio; language; and other modalities
671	AttTok: Marrying Attribute Tokens with Generative Pre-trained Vision-Language Models towards Medical Image Understanding Authors: Hualiang Wang; Xinyue Xu; Lehan Wang; Bin Pu; Xiaomeng Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Medical generative pre-trained models; medical Multi-Modal alignment; medical VQA; instruction tuning; audio; language; and other modalities
672	AudioX: A Unified Framework for Anything-to-Audio Generation Authors: Zeyue Tian; Zhaoyang Liu; Yizhu Jin; Ruibin Yuan; Liumeng Xue; Xu Tan; Qifeng Chen; Wei Xue; Yike Guo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Audio and music generation; DiT; audio; language; and other modalities
673	Augmented Radiance Field: A General Framework for Enhanced Gaussian Splatting Authors: Yixin Yang; Bojian Wu; Yang Zhou; Hui Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Gaussian Splatting; Novel View Synthesis; Decoupled Radiance Fields; View-dependent Opacity; audio; language; and other modalities
674	AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations Authors: Minjun Zhu; Zhen Lin; Yixuan Weng; Panzhong Lu; Qiujie Xie; Yifan Wei; Sifan Liu; QiYao Sun; Yue Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Automated Scientific Illustration; Agentic AI; Text-to-Image; audio; language; and other modalities
675	Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task? Authors: Zijian Zhao; Dian Jin; Zijing Zhou; Xiaoyu Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Automatic Stage Lighting Control; Music Information Retrieval; Multi-Modal; audio; language; and other modalities
676	BaseReward: A Strong Baseline for Multimodal Reward Model Authors: YiFan Zhang; Haihua Yang; Huanyu Zhang; Yang Shi; Zezhou Chen; Haochen Tian; Chaoyou Fu; Kai WU; Bo Cui; Xu Wang; Jianfei Pan; Haotian Wang; Zhang Zhang; Liang Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Reward Models; Human Preference Alignment; Reinforcement Learning; audio; language; and other modalities
677	Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs Authors: Yi Zhang; Bolin Ni; Xin-Sheng Chen; Hengrui Zhang; Yongming Rao; Houwen Peng; Qinglin Lu; Han Hu; Meng-Hao Guo; Shi-min Hu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Dataset; Fully Open; Reasoning; audio; language; and other modalities
678	Beyond Markovian Drifts: Action-Biased Geometric Walks with Memory for Personalized Summarization Authors: Parthiv Chatterjee; Asish Joel Batha; Tashvi patel; Sourish Dasgupta; Tanmoy Chakraborty Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: User Preference Modeling; Personalized Recommendation; Personalized Summarization; audio; language; and other modalities
679	Beyond Skeletons: Learning Animation Directly from Driving Videos with Same2X Training Strategy Authors: Yuan Zeng; Yujia Shi; Yuhao Yang; Dongxia Liu; Zongqing Lu; Wenming Yang; Qingmin Liao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Generative Models; Human Motion Synthesis; Representation Alignment; Pose-Free Animation; audio; language; and other modalities
680	Beyond Visual Reconstruction Quality: Object Perception-aware 3D Gaussian Splatting for Autonomous Driving Authors: Renzhi Wang; Yuxiang Fu; Wuqi Wang; Haigen Min; Wei Feng; Lei Ma; Qing Guo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Scene reconstruction; Object detection; Autonomous Driving System; audio; language; and other modalities
681	Beyond the Known: An Unknown-Aware Large Language Model for Open-Set Text Classification Authors: Xi Chen; Chuan Qin; Ziqi Wang; Shasha Hu; Chao Wang; Hengshu Zhu; Hui Xiong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Open-set text classification; audio; language; and other modalities
682	BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment Authors: Dewei Zhou; Mingwei Li; Zongxin Yang; Yu Lu; Yunqiu Xu; Zhizhong Wang; Zeyi Huang; Yi Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion Models; Multimodal Learning; Text-to-Image Generation; audio; language; and other modalities
683	BigMaQ: A Big Macaque Motion and Animation Dataset Bridging Image and 3D Pose Representations Authors: Lucas Martini; Alexander Lappe; Anna Bognár; Rufin Vogels; Martin A. Giese Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: surface tracking; action recognition; benchmark; animals; audio; language; and other modalities
684	Bootstrapping MLLM for Weakly‑Supervised Class‑Agnostic Object Counting Authors: Xiaowen Zhang; Zijie Yue; Yong Luo; Cairong Zhao; Qijun Chen; Miaojing Shi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Object counting; MLLMs; weakly-supervised; class-agnostic counting; audio; language; and other modalities
685	Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond Authors: Dingzirui Wang; Xuanliang Zhang; Keyan Xu; Qingfu Zhu; Wanxiang Che; Yang Deng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Chain-of-Thought; Reasoning Robustness; audio; language; and other modalities
686	Bridging Degradation Discrimination and Generation for Universal Image Restoration Authors: JiaKui Hu; Zhengjian Yao; Lujia Jin; Yanye Lu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Degradation Discrimination; Universal Image Restoration; audio; language; and other modalities
687	Bridging Piano Transcription and Rendering via Disentangled Score Content and Style Authors: Wei Zeng; JUNCHUAN ZHAO; Ye Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: piano transcription; expressive performance rendering; disentangled representation learning; audio; language; and other modalities
688	Bridging Radiology and Pathology Foundation Models via Concept-Based Multimodal Co-Adaptation Authors: Yihang Chen; Yanyan Huang; Fuying Wang; Maximus Yeung; Yuming Jiang; Shujun Wang; Lequan Yu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multimodal learning; concept-based learning; foundation models; parameter-efficient fine-tuning; medical imaging; survival analysis; audio; language; and other…
689	Bridging the Distribution Gap to Harness Pretrained Diffusion Priors for Super-Resolution Authors: JoonKyu Park; Kyoung Mu Lee Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Super-Resolution; diffusion; generative prior; audio; language; and other modalities
690	BrowseNet: Graph-Based Associative Memory for Contextual Information Retrieval Authors: PAVAN KUMAR S; Kiran Kumar Nakka; C Vamshi Krishna Reddy; Divyateja Pasupuleti; Prakhar Agarwal; Harpinder Jot Singh; Anshu Avinash; Nirav Pravinbhai Bhatt Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: retrieval augmented generation; graph-of-chunks; continual learning; large language models; audio; language; and other modalities
691	CAD-Tokenizer: Towards Text-Based CAD Prototyping via Modality-Specific Tokenization Authors: Ruiyu Wang; Shizhao Sun; Weijian Ma; Jiang Bian Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Computer-aided Design; CAD Generation; audio; language; and other modalities
692	CARD: Towards Conditional Design of Multi-agent Topological Structures Authors: Tongtong Wu; Yanming Li; Ziye Tang; Chen Jiang; Linhao Luo; Guilin Qi; Shirui Pan; Gholamreza Haffari Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multi-Agent Systems; Graph Learning; audio; language; and other modalities
693	CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework Authors: Yuexi Du; Jinglu Wang; Shujie LIU; Nicha C Dvornek; Yan Lu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multi-modal Large Language Agent; Medical Visual Question Answering; Visually Grounded Reasoning; Reinforcement Learning with Verifiable Reward; audio; languag…
694	CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter Authors: Zihang Li; Yangdong Ruan; Wenjun Liu; Zhengyang Wang; Tong Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Tree-RAG; Cuckoo Filter; Knowledge Retrieval; audio; language; and other modalities
695	CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction Authors: Jisu Shin; Richard Shaw; Seunghyun Shin; Zhensong Zhang; Hae-Gon Jeon; Eduardo Pérez-Pellitero Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Bilateral Grid; Appearance Harmonization; 3D Reconstruction; audio; language; and other modalities
696	CIAR: Interval-based Collaborative Decoding for Image Generation Acceleration Authors: Keming Ye; Zhou Zhao; Fan Wu; Shengyu Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Cloud Device Collaboration; Image Generation; Uncertainty Quantification; audio; language; and other modalities
697	CL-DPS: A Contrastive Learning Approach to Blind Nonlinear Inverse Problem Solving via Diffusion Posterior Sampling Authors: Linfeng Ye; Shayan Mohajer Hamidi; Mert Pilanci; Konstantinos N. Plataniotis Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion Models; Blind Inverse Problems; Contrastive Learning; audio; language; and other modalities
698	CLUTCH: Contextualized Language model for Unlocking Text-Conditioned Hand motion modelling in the wild Authors: Balamurugan Thambiraja; Omid Taheri; Radek Danecek; Giorgio Becherini; Gerard Pons-Moll; Justus Thies Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human Motion Synthesis; Hand motion synthesis; LLM; Motion in-the-wild; audio; language; and other modalities
699	CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting Authors: Zhigang Cheng; Mingchao Sun; Yu Liu; Zengye Ge; Luyang Tang; Mu Xu; Yangyan Li; Peng Pan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Level of Detail; 3D Gaussian Splatting; Neural Scene Representation; audio; language; and other modalities
700	CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition Authors: Martijn Bartelds; Ananjan Nandi; Moussa Koulako Bala Doumbouya; Dan Jurafsky; Tatsunori Hashimoto; Karen Livescu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: distributionally robust optimization; deep learning; robustness; speech recognition; audio; language; and other modalities
701	CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning Authors: Xiaoya Li; Xiaofei Sun; Albert Wang; Jiwei Li; Chris Shum Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: CUDA Optimization; Reinforcement Learning; LLMs; audio; language; and other modalities
702	Cambrian-S: Towards Spatial Supersensing in Video Authors: Shusheng Yang; Jihan Yang; Pinzhi Huang; Ellis L Brown II; Zihao Yang; Yue Yu; Shengbang Tong; Zihan Zheng; Yifan Xu; Muhan Wang; Rob Fergus; Yann LeCun; Li Fei-Fei; Saining Xie Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Langauge Model; Super Sensing Model; Spatial Understanding; Video Understanding; Memory; audio; language; and other modalities
703	Can Speech LLMs Think while Listening? Authors: Yi-Jen Shih; Desh Raj; Chunyang Wu; Wei Zhou; SK Bong; Yashesh Gaur; Jay Mahadeokar; Ozlem Kalinli; Mike Seltzer Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: SpeechLLM; Chain-of-Thought; audio; language; and other modalities
704	Captain Cinema: Towards Short Movie Generation Authors: Junfei Xiao; Ceyuan Yang; Lvmin Zhang; Shengqu Cai; Yang Zhao; Yuwei Guo; Gordon Wetzstein; Maneesh Agrawala; Alan Yuille; Lu Jiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Generation; Diffusion Transformer; audio; language; and other modalities
705	Cat-PO: Cross-modal Adaptive Token-rewards for Preference Optimization in Truthful Multimodal LLMs Authors: Zhixiao Zheng; Zheren Fu; Zhiyuan Yao; Dongming Zhang; Zhendong Mao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Preference Optimization; audio; language; and other modalities
706	ChainMPQ: Interleaved Text-Image Reasoning Chains for Mitigating Relation Hallucinations Authors: Yike Wu; Yiwei Wang; Yujun Cai Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Relational Hallucination; Interleaved Chain of Image and Text; Large Vision-Language Models; audio; language; and other modalities
707	Characterizing and Optimizing the Spatial Kernel of Multi Resolution Hash Encodings Authors: Tianxiang Dai; Jonathan Fan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multi-resolution hash encoding; implicit neural representations; neural fields; point spread function; spatial kernel analysis; anisotropy; resolution limit; F…
708	Chart Deep Research in LVLMs via Parallel Relative Policy Optimization Authors: Jiajin Tang; Gaoyang; Wenjie Wang; Sibei Yang; Xing Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Vision Language Model; Multimodal Deep Research; Chart Understanding; audio; language; and other modalities
709	Closing the Gap Between Text and Speech Understanding in LLMs Authors: Santiago Cuervo; Skyler Seto; Maureen de Seyssel; Richard He Bai; Zijin Gu; Tatiana Likhomanenko; Navdeep Jaitly; Zakaria Aldeneh Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Speech language models; large language models; multimodal language models; modality alignment; cross-modal alignment; cross-modal transfer; cross-modal distill…
710	Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients Authors: Minhyuk Seo; Taeheon Kim; Hankook Lee; Jonghyun Choi; Tinne Tuytelaars Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Collaborative Learning; Federated Learning; Continual Learning; Multi-modal Learning; Personalization; Distributed Learning; audio; language; and other modalit…
711	CoAct-1: Computer-using Multi-agent System with Coding Actions Authors: Linxin Song; Yutong Dai; Viraj Prabhu; Jieyu Zhang; Taiwei Shi; Li Li; Junnan Li; silvio savarese; Zeyuan Chen; Jieyu Zhao; Ran Xu; Caiming Xiong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computer-using Agent; Multi-gent System; LLM Agent; audio; language; and other modalities
712	CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer Authors: Wenbo Nie; Zixiang Li; Renshuai Tao; Bin WU; Yunchao Wei; Yao Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Style Transfer; Diffusion Model; Computer Vision; audio; language; and other modalities
713	CoDi: Subject-Consistent and Pose-Diverse Text-to-Image Generation Authors: Zhanxin Gao; Beier Zhu; Liangyao; Jian Yang; Ying Tai Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Consistent Subject Generation; Text-to-Image; Diffusion; audio; language; and other modalities
714	CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content Generation Authors: Kaishen Yuan; Yuting Zhang; Shang Gao; Yijie Zhu; Wenshuo Chen; Yutao Yue Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Emotional Image Content Generation; Semantically-Coherent Sentence-level Guidance; Hierarchical LoRA; audio; language; and other modalities
715	CoMind: Towards Community-Driven Agents for Machine Learning Engineering Authors: Sijie Li; Weiwei Sun; Shanda Li; Ameet Talwalkar; Yiming Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LLM Agent; audio; language; and other modalities
716	CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation Authors: Zhenyu Lu; Liupeng Li; Jinpeng Wang; Yan Feng; Bin Chen; Ke Chen; Yaowei Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Reasoning Segmentation; Reinforcement Learning; Positional Prior; Multi-Modal Chain-of-Thought; audio; language; and other modalities
717	CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs Authors: Li Li; Ziyi Wang; Yongliang Wu; Jianfei Cai; Xu Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Chain-of-Thought (CoT); Task Vectors; Model Steering; Large Language Models (LLMs); audio; language; and other modalities
718	CoT-RVS: Zero-Shot Chain-of-Thought Reasoning Segmentation for Videos Authors: Shiu-hong Kao; Yu-Wing Tai; Chi-Keung Tang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Reasoning Video Object Segmentation; audio; language; and other modalities
719	Codified Finite-state Machines for Role-playing Authors: Letian Peng; Yupeng Hou; Kun Zhou; Jingbo Shang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Role-playing; State Modeling; Grounding System; audio; language; and other modalities
720	CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving Authors: Shuhang Chen; Yunqiu Xu; Junjie Xie; Aojun Lu; Tao Feng; ZEYING HUANG; ZHANG NING; Yi Sun; Yi Yang; Hangjie Yuan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: CogFlow; MLLM; RLHF; visual mathematics problem; audio; language; and other modalities
721	CogniMap3D: Cognitive 3D Mapping and Rapid Retrieval Authors: Feiran Wang; Junyi Wu; Dawen Cai; Yuan Hong; Yan Yan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Feed-Forward 3D; Dynamic Scene Understanding; audio; language; and other modalities
722	Color3D: Controllable and Consistent 3D Colorization with Personalized Colorizer Authors: Yecong Wan; Mingwen Shao; Renlong Wu; Wangmeng Zuo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; 3D Editing; 3D Colorization; 3D Generation; audio; language; and other modalities
723	ComGS: Efficient 3D Object-Scene Composition via Surface Octahedral Probes Authors: Jian Gao; Mengqi Yuan; Yifei Zeng; Chang Zeng; Zhihao Li; Zhenyu Chen; Weichao Qiu; Xiao-Xiao Long; Hao Zhu; Xun Cao; Yao Yao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Object-Scene Composition; Gaussian Splatting; Surface Octahedral Probes; audio; language; and other modalities
724	CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs Authors: Jiwan Kim; Kibum Kim; Sangwoo Seo; Chanyoung Park Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Knowledege Distillation; audio; language; and other modalities
725	Confident and Adaptive Generative Speech Recognition via Risk Control Authors: Amit Damri; Bracha Laufer-Goldshtein Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: automatic speech recognition; conformal prediction; conformal risk control; large language models; ASR error correction; uncertainty quantification; adaptive h…
726	Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping Authors: Dwip Dalal; Gautam Vashishtha; Utkarsh Mishra; Jeonghwan Kim; Madhav Kanda; Hyeonjeong Ha; Svetlana Lazebnik; Heng Ji; Unnat Jain Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal LLMs; Vision-Language Models; Fine Grained Visual Grounding; Image Warping; audio; language; and other modalities
727	Contact-guided Real2Sim from Monocular Video with Planar Scene Primitives Authors: Zihan Wang; Jiashun Wang; Jeff Tan; Yiwen Zhao; Jessica K. Hodgins; Shubham Tulsiani; Deva Ramanan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human Scene Interaction; 4D human motion reconstruction; Physics-based simulation for control; Humanoid; Whole body control; Contact modelling; audio; language…
728	Content-Aware Mamba for Learned Image Compression Authors: Yunuo Chen; Zezheng Lyu; Bing He; Hongwei Hu; Qi Wang; Yuan Tian; Li Song; Wenjun Zhang; Guo Lu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Learned Image Compression; audio; language; and other modalities
729	ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation Authors: Ruihang Xu; Dewei Zhou; Fan Ma; Yi Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion Models; Controllable Generation; Multi-Instance Generation; Identity Preservation; Attention Mechanisms; audio; language; and other modalities
730	Continuous Space-Time Video Super-Resolution with 3D Fourier Fields Authors: Alexander Becker; Julius Erbach; Dominik Narnhofer; Konrad Schindler Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: continuous space-time video super-resolution; arbitrary-scale super-resolution; low-level vision; audio; language; and other modalities
731	Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-Tuning Authors: Chenjian Gao; Lihe Ding; Xin Cai; Zhanpeng Huang; Zibin Wang; Tianfan Xue Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Editing; audio; language; and other modalities
732	Critique-RL: Training Language Models For Critiquing Through Two-Stage Reinforcement Learning Authors: Zhiheng Xi; Jixuan Huang; Xin Guo; Boyang Hong; Dingwen Yang; Xiaoran Fan; Shuo Li; Zehui Chen; Junjie Ye; Siyu Yuan; Zhengyin Du; Xuesong Yao; Yufei Xu; Jiecao Chen; Rui Zheng; T… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: large language model; Critique models; LLM reasoning; audio; language; and other modalities
733	Cross-Timestep: 3D Diffusion Model with Trans-temporal Memory LSTM and Adaptive Priori Decoding Strategy for Medical Segmentation Authors: Shangqian Wu; Siyuan Shen; Yahan Li; Zhijian Huang; Ziyu Fan; Yuanpeng Zhang; YI WANG; Lei Deng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion Models; Medical Image Segmentation; LSTM; audio; language; and other modalities
734	Culture in Action: Evaluating Text-to-Image Models through Social Activities Authors: Sina Malakouti; Boqing Gong; Adriana Kovashka Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Text-to-Image Models; Cross Cultural Evaluation; Fairness; Bias; Social Activities; audio; language; and other modalities
735	CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs Authors: Yongcheng Zeng; Zexu Sun; Bokai Ji; Erxue Min; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Haifeng Zhang; Xu Chen; Jun Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Reinforcement learning; LLM reasoning; Curriculum learning; audio; language; and other modalities
736	Curvature-Guided Task Synergy for Skeleton based Temporal Action Segmentation Authors: Guozhang Li; Xinran Duan; Mei Wang; Lizhi Wang; Hua Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Temporal Action Segmentation; Skeleton-based Learning; Geometric Priors; Curvature Guidance; Task Synergy; audio; language; and other modalities
737	Cyber-Zero: Training Cybersecurity Agents without Runtime Authors: Terry Yue Zhuo; Dingmin Wang; Hantian Ding; Varun Kumar; Zijian Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: capture the flag; language model agents; security; vulnerability; audio; language; and other modalities
738	CylinderSplat: 3D Gaussian Splatting with Cylindrical Triplanes for Panoramic Novel View Synthesis Authors: Qiwei Wang; Xianghui Ze; Jingyi Yu; Yujiao Shi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Panoramic Novel View Synthesis; Cylindrical Triplane; Feed-forward; Multi-view Reconstruction; audio; language; and other modalities
739	D$^2$GS: Depth-and-Density Guided Gaussian Splatting for Stable and Accurate Sparse-View Reconstruction Authors: Meixi Song; Xin Lin; Dizhe Zhang; Haodong Li; Xiangtai Li; Bo Du; Lu Qi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Sparse View; audio; language; and other modalities
740	DA$^{2}$: Depth Anything in Any Direction Authors: Haodong Li; Wangguandong Zheng; Jing He; Yuhao LIU; Xin Lin; Xin Yang; Ying-Cong Chen; Chunchao Guo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Panoramas; Depth (Distance) Estimation; audio; language; and other modalities
741	DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts Authors: Bo Qian; Dahu Shi; Xing Wei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: object detection; prompt-based detection; open-set object detection; audio; language; and other modalities
742	DISCO: Diversifying Sample Condensation for Efficient Model Evaluation Authors: Alexander Rubinstein; Benjamin Raible; Martin Gubri; Seong Joon Oh Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Efficient evaluation; Large Language Models; anchor point; fingerprint; audio; language; and other modalities
743	DRBench: A Realistic Benchmark for Enterprise Deep Research Authors: Amirhossein Abaskohi; Tianyi Chen; Miguel Muñoz-Mármol; Curtis Fox; Amrutha Varshini Ramesh; Étienne Marcotte; Xing Han Lù; Nicolas Chapados; Spandana Gella; Christopher Pal; Alex… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Benchmark; deep research; reasoning; enterprise; insight recall; factuality; heterogeneous data; persona-grounded tasks; multi-domain evaluation; scalable data…
744	DVD-Quant: Data-free Video Diffusion Transformers Quantization Authors: Zhiteng Li; Hanxuan Li; Junyi Wu; Kai Liu; Haotong Qin; Linghe Kong; Guihai Chen; Yulun Zhang; Xiaokang Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: video generation models; post-training quantization; audio; language; and other modalities
745	DaVinci: Reinforcing Visual-Structural Syntax in MLLMs for Generalized Scientific Diagram Parsing Authors: Xingchen ZENG; Zhewei Su; Hengming Zhang; Juyong Jiang; Jiazhi Xia; Wei Zeng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Scientific diagram parsing; multimodal large language model; audio; language; and other modalities
746	Dancing in Chains: Strategic Persuasion in Academic Rebuttal via Theory of Mind Authors: Zhitao He; Zongwei LYU; Yi R. Fung Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: AI for Research; Rebuttal Agent; Theory of Mind; audio; language; and other modalities
747	Dataset Color Quantization: A Training-Oriented Framework for Dataset-Level Compression Authors: YU CHENYUE; Lingao Xiao; Jinhong Deng; Ivor Tsang; Yang He Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: dataset pruning; dataset compression; quantization; audio; language; and other modalities
748	DeAltHDR: Learning HDR Video Reconstruction from Degraded Alternating Exposure Sequences Authors: Shuohao Zhang; Zhilu Zhang; RongJian Xu; Xiaohe Wu; Wangmeng Zuo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: HDR Video Reconstrucion; Alternating Exposures; Degraded Sequences; audio; language; and other modalities
749	DeLiVR: Differential Spatiotemporal Lie Bias for Efficient Video Deraining Authors: Shuning Sun; Jialang Lu; Xiang Chen; Jichao Wang; Dianjie Lu; Guijuan Zhang; Guangwei Gao; Zhuoran Zheng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Restoration; Lie Groups; Positional Bias; audio; language; and other modalities
750	DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning Authors: Chengxuan Qian; Shuo Xing; Li Li; Yue Zhao; Zhengzhong Tu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Learning; Multimodal Representation Learning; Multimodal Alignment; audio; language; and other modalities
751	Decomposed Attention Fusion in MLLMs for Training-free Video Reasoning Segmentation Authors: Su Ho Han; Jeongseok Hyun; Pilhyeon Lee; Minho Shim; Dongyoon Wee; Seon Joo Kim Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MLLMs; Segmentation; Training-free; audio; language; and other modalities
752	Deep Global-sense Hard-negative Discriminative Generation Hashing for Cross-modal Retrieval Authors: Kun Cheng; Qibing Qin; Wenfeng Zhang; Lei Huang; Jie Nie Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Deep Hashing; Cross-modal Retrieval; Informative Learning; Hard Negative Generation; audio; language; and other modalities
753	DeepEyesV2: Toward Agentic Multimodal Model Authors: Jack Hong; Chenxiao Zhao; ChengLIn Zhu; Weiheng Lu; Guohai Xu; XingYu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: DeepEyesV2; Agentic Multimodal Model; audio; language; and other modalities
754	DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively Authors: Yixuan Weng; Minjun Zhu; Qiujie Xie; QiYao Sun; Zhen Lin; Sifan Liu; Yue Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Automated Scientific Discovery; Large Language Models (LLMs); AI Scientist; audio; language; and other modalities
755	Deforming Videos to Masks: Flow Matching for Referring Video Segmentation Authors: Zanyi Wang; Dengyang Jiang; Liuzhuozheng Li; Sizhe Dang; Chengzu Li; Harry Yang; Guang Dai; Mengmeng Wang; Jingdong Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Referring Video Object Segmentation; Flow Matching; audio; language; and other modalities
756	Dens3R: A Foundation Model for 3D Geometry Prediction Authors: Xianze Fang; Jingnan Gao; Zhe Wang; Zhuo Chen; Xingyu Ren; Jiangjing Lyu; Qiao-Mu Ren; Zhonglei Yang; Xiaokang Yang; Yichao Yan; chengfei lv Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Visual Foundation Model; 3D Geometry Prediction; audio; language; and other modalities
757	Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks Authors: Dmitrii Pozdeev; Alexey Artemov; Ananta R. Bhattarai; Artem Sevastopolsky Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human heads; 3D shape correspondence; foundation models; vision transformer; point tracking; audio; language; and other modalities
758	Depth Anything with Any Prior Authors: Zehan Wang; Siyu Chen; Lihe Yang; Jialei Wang; Ziang Zhang; Hengshuang Zhao; Zhou Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Depth Estimation; audio; language; and other modalities
759	Designing Affine-Invariant Neural Networks for Photometric Corruption Robustness and Generalization Authors: Mounir Messaoudi; Quentin Rapilly; Sébastien Herbreteau; Anaïs Badoual; Charles Kervrann Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computer Vision; Robust neural network; invariance; equivariance; biological imaging; microscopy; classification; object localization; audio; language; and oth…
760	Detective SAM: Adaptive AI-Image Forgery Localization Authors: Gert Lek; Nicolas van Schaik; Chaoyi Zhu; Pin-Yu Chen; Robert Birke; Lydia Y. Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image Forgery Localization; Diffusion Models; Dataset Creation; Generative Models; audio; language; and other modalities
761	DiMeR: Disentangled Mesh Reconstruction Model with Normal-only Geometry Training Authors: Lutao Jiang; Jiantao Lin; Kanghao Chen; Wenhang Ge; Xin Yang; Yifan Jiang; Yuanhuiyi Lyu; Xu Zheng; LI JING; Yinchuan Li; Ying-Cong Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LRM; 3D Reconstruction; 3D Generation; Image-to-3D; audio; language; and other modalities
762	DiVE-k: DIFFERENTIAL VISUAL REASONING FOR FINE-GRAINED IMAGE RECOGNITION Authors: Raja Kumar; Arka Sadhu; Ram Nevatia Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: zero-shot image classification; visual reasoning; vision-language model; audio; language; and other modalities
763	DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference Authors: Xiang Liu; Xuming Hu; Xiaowen Chu; Eunsol Choi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LLM reasoning; Adaptive Inference; Entropy Analysis; audio; language; and other modalities
764	DiffInk: Glyph- and Style-Aware Latent Diffusion Transformer for Text to Online Handwriting Generation Authors: Wei Pan; Huiguo He; Hiuyi Cheng; Yilin Shi; Lianwen Jin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Text-Line Generation; Online Handwriting; Latent Diffusion Transformer; audio; language; and other modalities
765	DiffPBR: Point-Based Rendering via Spatial-Aware Residual Diffusion Authors: Yiping Xie; Yuchi Huo; Yunlong Ran; Zijian Huang; Lincheng Li; Yingfeng Chen; Jiming Chen; Qi Ye Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Point-based graphics; Novel view synthesis; Neural rendering; audio; language; and other modalities
766	DiffTrans: Differentiable Geometry-Materials Decomposition for Reconstructing Transparent Objects Authors: Changpu Li; Shuang Wu; Songlin Tang; Guangming Lu; Jun Yu; Wenjie Pei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Differentiable rendering; Transparent object reconstruction; audio; language; and other modalities
767	DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing Authors: Tarik Can Ozden; Ozgur Kara; Oguzhan Akcin; Kerem Zaman; Shashank Srivastava; Sandeep P. Chinchali; James Matthew Rehg Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: diffusion; malicious editing; immunization; defense against editing; audio; language; and other modalities
768	DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics Authors: Yuanhang Lei; Boming Zhao; Zesong Yang; Xingxuan Li; Tao Cheng; Haocheng Peng; Ru Zhang; Yang Yang; Siyuan Huang; Yujun Shen; Ruizhen Hu; Hujun Bao; Zhaopeng Cui Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Physics-based Modeling; 3D Dynamics; System Identification; Differentiable Physics; audio; language; and other modalities
769	DiffuDETR: Rethinking Detection Transformers with Denoising Diffusion Process Authors: Youssef Ahmed Nawar; Mohamed Badran; Marwan Torki Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Object Detection; Diffusion Models; DETR; Query Generation; Deep Learning; audio; language; and other modalities
770	Discrete Diffusion for Bundle Construction Authors: Teng Tu; Ai Li; Yunshan Ma; Shuo Xu; Xiaohao Liu; Haokai Ma; Liang Pang; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Bundle Construction; Bundle Completion; Recommendation System; Discrete Diffusion Model; audio; language; and other modalities
771	DispViT: Direct Stereo Disparity Regression with a Single-Stream Vision Transformer Authors: Tongfan Guan; Jiaxin Guo; Tianyu Huang; Jinhu Dong; Chen Wang; Yun-Hui Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: stereo disparity estimation; vision transformer; positional encoding; audio; language; and other modalities
772	Distractor-free Generalizable 3D Gaussian Splatting Authors: Yanqi Bao; Jing Liao; Jing Huo; Yang Gao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Distractor-free; Generalizable 3D Gaussian Splatting; training stability; audio; language; and other modalities
773	Diverse Text Decoding via Iterative Reweighting Authors: Ruiqi Shi; Sinno Jialin Pan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Natural Language Processing; Large Language Models; Text Generation; Decoding Method; audio; language; and other modalities
774	Divid: Disentangled Spatial-Temporal Modeling within LLMs for Temporally Grounded Video Understanding Authors: Yepeng Tang; Weining Wang; Longteng Guo; Tongtian Yue; Wenxuan Wang; Chunjie Zhang; Jing Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video understanding; Temporal grounding; VideoLLM; audio; language; and other modalities
775	Does FLUX Already Know How to Perform Physically Plausible Image Composition? Authors: Shilin Lu; Zhuming Lian; Zihan Zhou; Shaocong Zhang; Chen Zhao; Adams Wai-Kin Kong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image Editing; Image Composition; Diffusion Models; audio; language; and other modalities
776	DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward Supervision Authors: Xiandong Zou; Ruihao Xia; Hongsong Wang; Pan Zhou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Preference Alignment in 3D; Preference Alignment; Human Preference Alignment; 3D Generation; audio; language; and other modalities
777	DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking Authors: Weicheng Zheng; Xiaofei Mao; Nanfei Ye; Pengxiang Li; Kun Zhan; XianPeng Lang; Hang Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Autonomous Driving; Vision-Language Models; Hybrid Thinking; Visual Reasoning; Reinforcement Learning; audio; language; and other modalities
778	Durian: Dual Reference Image-Guided Portrait Animation with Attribute Transfer Authors: Hyunsoo Cha; Byungjun Kim; Hanbyul Joo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Attribute Transfer; Portrait Animation; audio; language; and other modalities
779	Dyna-Mind: Learning to Simulate from Experience for Better AI Agents Authors: Xiao Yu; Baolin Peng; Michel Galley; Hao Cheng; Qianhui Wu; Janardhan Kulkarni; Suman Nath; Zhou Yu; Jianfeng Gao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: AI agents; reasoning; planning; reinforcement learning; audio; language; and other modalities
780	Dynamic Early Exit in Reasoning Models Authors: Chenxu Yang; Qingyi Si; Yongjie Duan; Zheliang Zhu; Chenyu Zhu; Qiaowei Li; Minghui Chen; Zheng Lin; Weiping Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Efficient Reasoning; Early Exit; audio; language; and other modalities
781	Dynamic Novel View Synthesis in High Dynamic Range Authors: Kaixuan Zhang; Zhipeng Xiong; Minxian Li; Mingwu Ren; Jiankang Deng; Xiatian Zhu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: High Dynamic Range; 4D Gaussian Splatting; Dynamic Scene Modeling; Deep Learning; audio; language; and other modalities
782	EA3D: Event-Augmented 3D Diffusion for Generalizable Novel View Synthesis Authors: Wangbo Yu; Chaoran Feng; Jianing Li; Aofan Zhang; Zhenyu Tang; Mingyi Guo; Wei Zhang; Zhengyu Ma; Li Yuan; Yonghong Tian Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Novel view synthesis; Event Cameras; Diffusion model; audio; language; and other modalities
783	EAST: Early Action Prediction Sampling Strategy with Token Masking Authors: Iva Sović; Ivan Martinović; Marin Oršić Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: early action prediction; token masking; video analysis; efficient training; audio; language; and other modalities
784	EMBridge: Enhancing Gesture Generalization from EMG Signals Through Cross-modal Representation Learning Authors: Wenhui Cui; Christopher Michael Sandino; Hadi Pouransari; Ran Liu; Juri Minxha; Ellen L. Zippi; Erdrin Azemi; Behrooz Mahasseni Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: EMG; Zero-shot Gesture Classification; Cross-modal; Representation Learning; audio; language; and other modalities
785	ETGS: Explicit Thermodynamics Gaussian Splatting for Dynamic Thermal Reconstruction Authors: Zhongwen Wang; Han Ling; Weihao Zhang; Yinghui Sun; Quansen Sun Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Reconstruction; Thermal Reconstruction; Explicit Thermodynamics; audio; language; and other modalities
786	Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents Authors: Peilin Feng; Zhutao Lv; Junyan Ye; Xiaolei Wang; Xinjie Huo; Jinhua Yu; Wanghan Xu; Wenlong Zhang; LEI BAI; Conghui He; Weijia Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Earth observation; Earth-Agent; Earth-Bench; audio; language; and other modalities
787	Echo: Towards Advanced Audio Comprehension via Audio-Interleaved Reasoning Authors: Daiqing Wu; Xuan Zhang; Dongbao Yang; Jiashu Yao; Longfei Chen; Qingsong Liu; Sicheng Zhao; Can Ma; Yangyang Kang; Yu ZHOU Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LALMs; Audio Comprehension; Audio-Interleaved Reasoning; audio; language; and other modalities
788	EdgeCape: Edge Weight Prediction For Category-Agnostic Pose Estimation Authors: Or Hirschorn; Shai Avidan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Category Agnostic Pose Estimation; Keypoint Localization; Few Shot Learning; 2D Pose Estimation; audio; language; and other modalities
789	EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling Authors: Xin Luo; Jiahao Wang; Chenyuan Wu; Shitao Xiao; Xiyan Jiang; Defu Lian; Jiajun Zhang; Dong Liu; Zheng Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image Editing; Reinforcement Learning; Reward Model; audio; language; and other modalities
790	Efficient Audio-Visual Speech Separation with Discrete Lip Semantics and Multi-Scale Global-Local Attention Authors: Kai Li; Gao Kejun; Xiaolin Hu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Audio-video speech separation; vector quantization; lightweight network; discrete semantic units; audio; language; and other modalities
791	Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold Regularization Authors: Bin Ren; Yawei Li; Xu Zheng; Yuqian Fu; Danda Pani Paudel; Hong Liu; Ming-Hsuan Yang; Luc Van Gool; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image Restoration; Transformer; Contrastive Learning; audio; language; and other modalities
792	Efficient Multimodal Spatial Reasoning via Dynamic and Asymmetric Routing Authors: Yixian Shen; Qi Bi; Zihan Wang; Zhiheng Yang; Changshuo Wang; Zhi Zhang; Prayag Tiwari; Andy D. Pimentel; Anuj Pathania Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Autoregressive multimodal reasoning; Layer- and hop-aware retention; Green AI; audio; language; and other modalities
793	Efficient Test-Time Scaling for Small Vision-Language Models Authors: Mehmet Onurcan Kaya; Desmond Elliott; Dim Papadopoulos Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: VLMs; test-time scaling; test-time augmentation; test-time adaptation; test-time compute; multimodal learning; audio; language; and other modalities
794	Efficient-LVSM: Faster, Cheaper, and Better Large View Synthesis Model via Decoupled Co-Refinement Attention Authors: Xiaosong Jia; Yihang Sun; Junqi You; Songbur Wong; Zichen Zou; Junchi Yan; Zuxuan Wu; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: novel view synthesis; novel view synthesis; transformer; large model; audio; language; and other modalities
795	EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learning Authors: Binzhu Xie; Shi Qiu; Sicheng Zhang; Yinqiao Wang; Hao Xu; Muzammal Naseer; Chi-Wing Fu; Pheng-Ann Heng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Hand Reconstructin; Egocentric Vision; In-Context Learning; audio; language; and other modalities
796	EgoWorld: Translating Exocentric View to Egocentric View using Rich Exocentric Observations Authors: Junho Park; Andrew Sangwoo Ye; Taein Kwon Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Egocentric Vision; Diffusion Models; audio; language; and other modalities
797	Eliminating VAE for Fast and High-Resolution Generative Detail Restoration Authors: Yan Wang; Shijie Zhao; Junlin Li; Li zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion; Super-Resolution; Adversarial distillation; Model Compression; audio; language; and other modalities
798	Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization Authors: Taeyoon Kwon; Dongwook Choi; Hyojun Kim; Sunghwan Kim; Seungjun Moon; Beong-woo Kwak; Kuan-Hao Huang; Jinyoung Yeo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Embodied agent; Memory; Agent; LLM; Personalization; audio; language; and other modalities
799	Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking Authors: Zhengwei Tao; Haiyang SHEN; Baixuan Li; Wenbiao Yin; Jialong Wu; Kuan Li; Zhongwang Zhang; Huifeng Yin; Rui Ye; Yong Jiang; Pengjun Xie; Fei Huang; Jingren Zhou; Wentao Zhang; Yun… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: agent; information seeking; data synthesis; llm; audio; language; and other modalities
800	Empowering Small VLMs to Think with Dynamic Memorization and Exploration Authors: Jiazhen Liu; Yuchuan Deng; Long Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: GRPO; SFT; Small-scale VLM; Computer Vision; audio; language; and other modalities
801	Enabling True Global Perception in State Space Models for Visual Tasks Authors: Jie Hui; Zhenxiang Zhang; Wenyu Mi; Jianji Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: State Space Model; Frequency Domain Modulation; Global Image Modeling; Mathematical Definition; audio; language; and other modalities
802	Enabling Your Forensic Detector Know ​How Well​ It Performs on Distorted Samples Authors: Bin Li; Haoyu Li; Haodong Li; Jiaming Zhong; Changsheng Chen; Jiangqun Ni; bo.cao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: image distortions; forensics; quality; confidence; audio; language; and other modalities
803	End-to-end Listen, Look, Speak and Act Authors: Siyin Wang; Wenyi Yu; Xianzhao Chen; Xiaohai Tian; Jun Zhang; Lu Lu; Yuxuan Wang; Chao Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Artificial General Intelligence; Speech Dialogue Model; VLA Model; Full Duplex Model; audio; language; and other modalities
804	Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models Authors: Jinhui HOU; Zhiyu Zhu; Junhui Hou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: image restoration; bridge diffusion; audio; language; and other modalities
805	Enhancing Persona Following at Decoding Time via Dynamic Importance Estimation for Role-Playing Agents Authors: Yuxin Liu; Mingye Zhu; Siyuan Liu; Bo Hu; Lei Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Agent-Based Simulation; Role-Playing Language Agents; Persona Following; Inference-Time Alignment; audio; language; and other modalities
806	Enhancing Vision Transformers for Object Detection via Context-Aware Token Selection and Packing Authors: Tianyi Zhang; Baoxin Li; Jae-sun Seo; Yu Cao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: vision transformer; object detection; audio; language; and other modalities
807	Enhancing Visual Token Representations for Video Large Language Models via Training-free Spatial-Temporal Pooling and Gridding Authors: Bingjun Luo; Tony Wang; Hanqi Chen; Xinpeng Ding Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Visual Token Representation; Video Understanding; Multimodal Large Language Models; audio; language; and other modalities
808	Entropy-Monitored Kernelized Token Distillation for Audio-Visual Compression Authors: Hyoungseob Park; Lipeng Ke; Pritish Mohapatra; Huajun Ying; sankar venkataraman; Alex Wong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Audio-Visual Learning; Multimodal Learning; Efficient Machine Learning; Knowledge Distillation; Audio-Visual Classification; Audio-Visual Segmentation; audio;…
809	EnvSocial-Diff: A Diffusion-Based Crowd Simulation Model with Environmental Conditioning and Individual-Group Interaction Authors: Bingxue Zhao; Qi Zhang; Hui Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Crowd simulation; Social physics force; Diffusion model; audio; language; and other modalities
810	Equivariant Splitting: Self-supervised learning from incomplete data Authors: Victor Sechaud; Jérémy Scanvic; Quentin Barthélemy; Patrice Abry; Julián Tachella Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: inverse problems; self-supervised imaging; equivariant neural networks; audio; language; and other modalities
811	Estimating Semantic Alphabet Size for LLM Uncertainty Quantification Authors: Lucas Hurley McCabe; Rimon Melamed; Thomas Hartvigsen; H Howie Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: large language model; uncertainty quantification; hallucination; entropy; alphabet; audio; language; and other modalities
812	Event-T2M: Event-level Conditioning for Complex Text-to-Motion Synthesis Authors: Seong-Eun Hong; Jaeyoung Seon; JuYeong Hwang; JongHwan Shin; HyeongYeop Kang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: text-to-motion generation; event-level conditioning; event decomposiiton; audio; language; and other modalities
813	EventFlash: Towards Efficient MLLMs for Event-Based Vision Authors: Shaoyu Liu; Jianing Li; guanghui zhao; Yunjian Zhang; Wen Jiang; Ming Li; Xiangyang Ji Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Event-Based Vision; Event-Language Alignment; audio; language; and other modalities
814	Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval Authors: Yingyi Zhang; Junyi Li; Wenlin Zhang; Pengyue Jia; Xianneng Li; Yichao Wang; Derong Xu; Yi Wen; Huifeng Guo; Yong Liu; Xiangyu Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Model; Memory Retrieval; Recollection-Familiarity Dual Process; Personalization; audio; language; and other modalities
815	Evolving Graph Structured Programs for Circuit Generation with Large Language Models Authors: Yinqi Bai; Jie Wang; Lei Chen; Zhihai Wang; Yumeng Li; Mingxuan Yuan; Jianye HAO; Defu Lian; Enhong Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Electronic Design Automation; Logic Synthesis; Large Language Models; audio; language; and other modalities
816	ExPO-HM: Learning to Explain-then-Detect for Hateful Meme Detection Authors: Jingbiao Mei; Mingsheng Sun; Jinghong Chen; Pengda Qin; Yuhong Li; Da Chen; Bill Byrne Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Hateful Meme Detection; audio; language; and other modalities
817	Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification Authors: Conghao Xiong; Zhengrui Guo; Zhe Xu; Yifei Zhang; Raymond Kai-yu Tong; Si Yong Yeo; Hao Chen; Joseph JY Sung; Irwin King Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computational Pathology; Whole Slide Image Classification; Few-shot Learning; Manifold Hypothesis; audio; language; and other modalities
818	Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection Authors: Hongyan Fei; Zexi Jia; Chuanwei Huang; Jinchao Zhang; Jie Zhou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: face forgery detection; illumination separation; specular reflection analysis; audio; language; and other modalities
819	FARI: Robust One-Step Inversion for Watermarking in Diffusion Models Authors: Jindong Yang; Han Fang; Weiming Zhang; Nenghai Yu; Kejiang Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: digital watermark; diffusion models; inversion; audio; language; and other modalities
820	FARTrack: Fast Autoregressive Visual Tracking with High Performance Authors: Guijie Wang; Tong Lin; Yifan Bai; Anjia Cao; Shiyi Liang; Wangbo Zhao; Xing Wei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Autoregressive Tracking; Efficient Tracking; Visual Object Tracking; audio; language; and other modalities
821	FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding Authors: Zheng Liu; Mengjie Liu; Jingzhou Chen; Jingwei Xu; Bin CUI; Conghui He; Wentao Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision Language Model; Cross-Modal Alignment and Integration; Text-Guided Vision Encoding; Context-Aware Decoding; Dual-Semantic Mapping Loss; Text-Driven VQA…
822	FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding Authors: Janghoon Cho; Jungsoo Lee; Munawar Hayat; Kyuwoong Hwang; Fatih Porikli; Sungha Choi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: large multimodal model; visual token compression; long video understanding; audio; language; and other modalities
823	FOCUS: Efficient Keyframe Selection for Long Video Understanding Authors: Zirui Zhu; Hailun Xu; Yang Luo; Yong Liu; Kanchan Sarkar; Zhenheng Yang; Yang You Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Keyframe Selection; Multimodal large language models; Long Video Understanding; Combinatorial Pure-exploration; audio; language; and other modalities
824	FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion Authors: Chen-Bin Feng; Youyang Sha; Longfei Liu; Yongjun YU; Chi Man VONG; Xuanlong Yu; Xi SHEN Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Few-Shot Learning; Foundation Models; Object Detection; audio; language; and other modalities
825	FaSTA*: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing Authors: Advait Gupta; Rishie Raj; Dang Nguyen; Tianyi Zhou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multi-turn Image Editing; Neurosymbolic Agent; Fast-Slow Planning; Subroutine Mining; Toolpath Optimization; Cost-Efficient; audio; language; and other modalit…
826	Falcon: Fast Proximal Linearization of Normalized Cuts for Unsupervised Image Segmentation Authors: Xiao Zhang; Xiangyu Han; Xiwen Lai; Yao Sun; Pei Zhang; Xia Liu; Konrad Kording Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Unsupervised Segmentation; Graph Cut; Normalized Cut; Proximal Gradient Method; Kurdyka–Łojasiewicz (KL) Convergence; audio; language; and other modalities
827	Fantastic Tractor-Dogs and How Not to Find Them With Open-Vocabulary Detectors Authors: Frank Ruis; Gertjan J. Burghouts; Hugo Kuijf Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: open-vocabulary; object detection; vision-language; false positives; audio; language; and other modalities
828	FastAvatar: Towards Unified and Fast 3D Avatar Reconstruction with Large Gaussian Reconstruction Transformers Authors: Yue Wu; Xuanhong Chen; Yufan Wu; Wen Li; Yuxi Lu; Kairui Feng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Avatar; 3D Reconstruction; audio; language; and other modalities
829	FastGHA: Generalized Few-Shot 3D Gaussian Head Avatars with Real-Time Animation Authors: Xinya Ji; Sebastian Weiss; Manuel Kansy; Jacek Naruniec; Xun Cao; Barbara Solenthaler; Derek Bradley Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Animation; Gaussian Avatar; Feedforward Gaussian Model; audio; language; and other modalities
830	Faster Vision Transformers with Adaptive Patches Authors: Rohan Choudhury; JungEun Kim; Jinhyung Park; Eunho Yang; Laszlo A. Jeni; Kris Kitani Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: efficient vision; vision transformers; audio; language; and other modalities
831	FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring Authors: Xiaoyang Liu; Zhengyan Zhou; Zihang Xu; Jiezhang Cao; Zheng Chen; Yulun Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image Motion-Deblurring; Diffusion Model; audio; language; and other modalities
832	FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting Authors: Qianfan Shen; Ningxiao Tao; Qiyu Dai; Tianle Chen; Minghan Qin; Yongjie Zhang; Mengyu Chu; Wenzheng Chen; Baoquan Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Physics Simulation; Combustion Simulation; Novel View Synthesis; audio; language; and other modalities
833	Figma2Code: Automating Multimodal Design to Code in the Wild Authors: Yi Gui; Jiawan Zhang; Yina Wang; Tianran Ma; Yao Wan; Shilin He; Dongping Chen; Zhou Zhao; Wenbin Jiang; Xuanhua Shi; Hai Jin; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Code Generation; Design to Code; audio; language; and other modalities
834	Fixing the Broken Compass: Diagnosing and Improving Inference-Time Reward Modeling Authors: Jiachun Li; Pengfei Cao; Zhuoran Jin; Yubo Chen; Jiexin Xu; Huaijun Li; Xiaojian Jiang; Kang Liu; Jun Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Model analysis & interpretability; Reasoning; Inference-time Scaling; audio; language; and other modalities
835	Flash-Mono: Feed-Forward Accelerated Gaussian Splatting Monocular SLAM Authors: Zicheng Zhang; Ke Wu; Xiangting Meng; Keyu Liu; Jieru Zhao; Wenchao Ding Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: SLAM; 3DGS; 3D Reconstruction; 3D Foundation Model; audio; language; and other modalities
836	Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution Authors: Tianrui Qin; Qianben Chen; Sinuo Wang; He Xing; King Zhu; He Zhu; Dingfeng Shi; Xinxin Liu; Ge Zhang; Jiaheng Liu; Xitong Gao; Yuchen Eleanor Jiang; Wangchunshu Zhou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Workflow Optimization; Agent Reasoning; WebAgent; Deep Research; audio; language; and other modalities
837	Flatness Guided Test-Time Adaptation for Vision-Language Models Authors: Aodi Li; Liansheng Zhuang; Xiao Long; Houqiang Li; Shafei Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision-Language Models; Generalization; Loss landscape; audio; language; and other modalities
838	FlexiVoice: Enabling Flexible Style Control in Zero-Shot TTS with Natural Language Instructions Authors: Dekun Chen; Xueyao Zhang; Yuancheng Wang; Kenan Dai; Li Ma; Zhizheng Wu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Instruction TTS; Controllable Speech Synthesis; Decoupling; Reinforcement Learning; audio; language; and other modalities
839	Flow2GAN: Hybrid Flow Matching and GAN with Multi-Resolution Network for Few-step High-Fidelity Audio Generation Authors: Zengwei Yao; Wei Kang; Han Zhu; Liyong Guo; Lingxuan Ye; Fangjun Kuang; Weiji Zhuang; Zhaoqing Li; Zhifeng Han; Long Lin; Daniel Povey Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Flow2GAN; audio generation; Flow Matching; GAN; multi-resolution; audio; language; and other modalities
840	FlowSearcher: Synthesizing Memory-Guided Agentic Workflows for Web Information Seeking Authors: Keyi Xiang; Zeyu Feng; Zhuoyi Lin; Yueming Lyu; Shi Boyuan; Yew-Soon Ong; Ivor Tsang; Haiyan Yin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Model Reasoning; Structured Planning; Agentic Workflow; audio; language; and other modalities
841	Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control Authors: Zeqian Long; Mingzhe Zheng; Kunyu Feng; Xinhua Zhang; Hongyu Liu; Harry Yang; Linfeng Zhang; Qifeng Chen; Yue Ma Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: image editing; audio; language; and other modalities
842	Fostering Video Reasoning via Next-Event Prediction Authors: Haonan Wang; Hongfu Liu; Xiangyan Liu; Chao Du; Kenji Kawaguchi; Ye Wang; Tianyu Pang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Video Instruction Fine-tuning; audio; language; and other modalities
843	Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors Authors: Guangyao Zhai; Yue Zhou; Xinyan Deng; Lars Heckler-Kram; Nassir Navab; Benjamin Busam Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Representation Learning; Few-Shot Anomaly Detection; Applications of Foundation Models; audio; language; and other modalities
844	Fractional-Order Spiking Neural Network Authors: Chengjie Ge; Yufeng Peng; Zihao Li; Qiyu Kang; Xueyang Fu; Xuhao Li; Qixin Zhang; Ren Junhao; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: spiking neural networks; fractional order differential equations; audio; language; and other modalities
845	FreeAdapt: Unleashing Diffusion Priors for Ultra-High-Definition Image Restoration Authors: Xiaoan Liu; Xinyi Liu; Yongjun Zhang; Yi Wan; Li Tingyun; Dongdong Yue Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Latent Diffusion Models; Ultra-High-Definition Image Restoration; Training-Free; Plug-and-Play; Resolution Adaptation; audio; language; and other modalities
846	From Large to Small: Transferring CUDA Optimization Expertise via Reasoning Graph Authors: Junfeng Gong; Zhiyi Wei; Junying Chen; Cheng Liu; Huawei Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Small Language Models; CUDA Code Generation; Reasoning Graph; MCTS; audio; language; and other modalities
847	From Pixels to Semantics: Unified Facial Action Representation Learning for Micro-Expression Analysis Authors: Yicheng Deng; Hideaki Hayashi; Hajime Nagahara Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: micro-expression recognition; micro-expression generation; audio; language; and other modalities
848	From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents Authors: Derong Xu; Yi Wen; Pengyue Jia; Yingyi Zhang; Wenlin Zhang; Yichao Wang; Huifeng Guo; Ruiming Tang; Xiangyu Zhao; Enhong Chen; Tong Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Long-Term Memory; Agent; LLM; Multi-Granularity; Conversation; audio; language; and other modalities
849	From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper Authors: Ling Li; Changjie Chen; Yuyan Wang; Jiaqing Lyu; Kenglun Chang; Yiyun Chen; Zhidong Deng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D pose estimation; Spatiotemporal; Sparse Interleaved Input; Epipolar Geometry; audio; language; and other modalities
850	From Tokens to Nodes: Semantic-Guided Motion Control for Dynamic 3D Gaussian Splatting Authors: Jianing Chen; Zehao Li; Yujun Cai; Hao Jiang; Shuqin Gao; Honglong Zhao; Tianlu Mao; Yucheng Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3d reconstruction; computer vision; monocular dynamic reconstruction; audio; language; and other modalities
851	From Utterance to Vividity: Training Expressive Subtitle Translation LLM via Adaptive Local Preference Optimization Authors: Chaoqun Cui; Shijing Wang; Liangbin Huang; Qingqing Gu; Zhaolong Huang; Xiao Zeng; Wenji Mao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Model; Subtitle Translation; Preference Optimization; audio; language; and other modalities
852	From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation Authors: Yuxin Jiang; Yufei Wang; Qiyuan Zhang; Xingshan Zeng; Liangyou Li; Jierun Chen; Chaofan Tao; Haoli Bai; Lifeng Shang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: reinforcement learning; verifiable reference-based rewards; open-ended generation; audio; language; and other modalities
853	Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share? Authors: Karim Kassab; Antoine Schnepf; Jean-Yves Franceschi; Laurent Caraffa; Flavian Vasile; Jeremie Mary; Andrew I. Comport; Valerie Gouet-Brunet Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Tri-Planes; NeRF; 3D; Latent; audio; language; and other modalities
854	Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology Authors: Minghao Han; Dingkang Yang; Linhao Qu; Zizhi Chen; Gang Li; Han Wang; Jiacong Wang; Lihua Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computational pathology; Multimodal Learning; Contrastive Learning; audio; language; and other modalities
855	G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge Authors: Linhao Luo; Zicheng Zhao; Junnan Liu; Zhangchi Qiu; Junnan Dong; Serge Panev; Chen Gong; Thuy-Trang Vu; Gholamreza Haffari; Dinh Phung; Alan Wee-Chung Liew; Shirui Pan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: GraphRAG; RAG; LLM; audio; language; and other modalities
856	G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior Authors: Junfeng Ni; Yixin Chen; Zhifei Yang; Yu Liu; Ruijie Lu; Song-Chun Zhu; Siyuan Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Scene Reconstruction; Sparse View Reconstruction; Generative Prior; audio; language; and other modalities
857	GOLDILOCS: GENERAL OBJECT-LEVEL DETECTION AND LABELING OF CHANGES IN SCENES Authors: Almog Friedlander; Ariel Shamir; Ohad Fried Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Change detection; scene change detection; semantic change detection; audio; language; and other modalities
858	GPS: Graph-guided Proactive Information Seeking in Large Language Models Authors: Ruiqing Li; Yifeng Xu; Xinke Jiang; Zhibang Yang; Xinyu Ma; Yue Fang; Junfeng Zhao; Yasha Wang; Xu Chu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Retrieval-augmented generation; Reinforcement learning; Clarification questions; audio; language; and other modalities
859	GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models Authors: Zhangyang Qi; Zhixiong Zhang; Ye Fang; Jiaqi Wang; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Scene Understanding; Vision Language Models; audio; language; and other modalities
860	GRACE: Generative Representation Learning via Contrastive Policy Optimization Authors: Jiashuo Sun; Shixuan Liu; Zhaochen Su; Xianrui Zhong; Pengcheng Jiang; Bowen Jin; Peiran Li; Weijia Shi; Jiawei Han Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Text Representation; Reinforcement Learning; audio; language; and other modalities
861	GTA1: GUI Test-time Scaling Agent Authors: Yan Yang; Dongxu Li; Yutong Dai; Yuhao Yang; Ziyang Luo; Zirui Zhao; Zhiyuan Hu; JUNZHE HUANG; Amrita Saha; Zeyuan Chen; Ran Xu; Liyuan Pan; Caiming Xiong; Junnan Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: GUI Agent; Multimodal Large Language Model; audio; language; and other modalities
862	GUI-Shift: Enhancing VLM-Based GUI Agents through Self-supervised Reinforcement Learning Authors: Longxi Gao; Li Zhang; Pengzhi Gao; Wei Liu; Jian Luan; Mengwei Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Mobile GUI Agent; Reinforcement Learning; Vision Language Model; audio; language; and other modalities
863	GaitSnippet: Gait Recognition Beyond Unordered Sets and Ordered Sequences Authors: Saihui Hou; Chenye Wang; Wenpeng Lang; Zhengxiang Lan; Yongzhen Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Gait Recognition; Snippets Sampling; Snippet Modeling; audio; language; and other modalities
864	Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning Authors: Jingqi Tong; Jixin Tang; Hangcheng Li; Yurong Mou; Ming Zhang; Jun Zhao; Yanbo Wen; Fan Song; Jiahao Zhan; Yuyang Lu; Chaoran Tao; Zhiyuan Guo; Jizhou Yu; Tianhao Cheng; Zhiheng X… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision Language Model; Reasoning; Data Synthesis; Game Playing; Visual Question Answering; Data Sets or Data Repositories; Benchmarks; audio; language; and oth…
865	GenCape: Structure-Inductive Generative Modeling for Category-Agnostic Pose Estimation Authors: Jiyong Rao; Yu Wang; Shengjie Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Category-Agnostic Pose Estimation; Graph Learning; Variational Autoencoder; audio; language; and other modalities
866	GenDR: Lighten Generative Detail Restoration Authors: Yan Wang; Shijie Zhao; Kexin Zhang; Junlin Li; Li zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion; Super-Resolution; Score distillation; audio; language; and other modalities
867	GenFusion: Feed-forward Human Performance Capture via Progressive Canonical Space Updates Authors: YoungJoong Kwon; Yao He; Hee Jung Choi; Chen Geng; Zhengmao Liu; Jiajun Wu; Ehsan Adeli Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: human performance capture; monocular human performance capture; feed-forward reconstruction; audio; language; and other modalities
868	Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction Authors: Yusong Wu; Stephen Brade; Teng Ma; Tia-Jane Fowler; Enning Yang; Berker Banar; Aaron Courville; Natasha Jaques; Cheng-Zhi Anna Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Real-time Music Accompaniment; Music Generation; Reinforcement Learning; Adversarial Machine Learning; audio; language; and other modalities
869	Geometric Image Editing via Effects-Sensitive In-Context Inpainting with Diffusion Transformers Authors: Shuo Zhang; Wenzhuo Wu; Huayu Zhang; Jiarong Cheng; Xianghao Zang; Chao Ban; Hao Sun; Zhongjiang He; Tianwei Cao; Kongming Liang; Zhanyu Ma Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: geometric image editing; inpainting; diffusion model; audio; language; and other modalities
870	GoT-R1: Unleashing Reasoning Capability of Autoregressive Visual Generation with Reinforcement Learning Authors: Chengqi Duan; Rongyao Fang; Yuqing Wang; Kun Wang; Linjiang Huang; Xingyu Zeng; Hongsheng Li; Xihui Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Reinforcement Learning; Visual Generation; audio; language; and other modalities
871	Gogo: Group-wise granularity-ordered codec for stable and efficient speech generation Authors: Weidong Chen; Helen M. Meng; Xixin Wu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: speech codec; speech language model; speech generation; text-to-speech synthesis; audio; language; and other modalities
872	Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language Translation Authors: Yasser HAMIDULLAH; Koel Dutta Chowdhury; Yusser Al Ghussin; Shakib Yazdani; Cennet Oguz; Josef van Genabith; Cristina España-Bonet Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: sign language translation; multimodal generation; vision-language model; hallucination detection; audio; language; and other modalities
873	Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment Authors: Zheng Chen; Xun Zhang; Wenbo Li; Renjing Pei; Fenglong Song; Xiongkuo Min; Xiaohong Liu; Xin Yuan; Yong Guo; Yulun Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Grounding; MLLM; IQA; audio; language; and other modalities
874	GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning Authors: Weitai Kang; Bin Lei; Gaowen Liu; Caiwen Ding; Yan Yan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: GUI Visual Grounding; Reinforcement Fine-Tuning; audio; language; and other modalities
875	H2OFlow: Grounding Human-Object Affordances with 3D Generative Models and Dense Diffused Flows Authors: Harry Zhang; Luca Carlone Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: affordance; 3d vision; generative model; audio; language; and other modalities
876	HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics Authors: Shufan Jiang; Sizhou Chen; Chi Zhang; Xiao-Lei Zhang; Xuelong Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Drama; Role-Playing; Multi-Agent System; Autonomous Workflow; LLM; Adaptive Reasoning; audio; language; and other modalities
877	HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models Authors: Weixuan Wang; Minghao Wu; Barry Haddow; Alexandra Birch Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Fine-Tuning; Multilingual; Multitask; audio; language; and other modalities
878	HDR-NSFF: High Dynamic Range Neural Scene Flow Fields Authors: Shin Dong-Yeon; Kim Jun-Seong; Kwon Byung-Ki; Tae-Hyun Oh Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: High Dynamic Range; Dynamic Radiance Fields; Scene Flow; audio; language; and other modalities
879	HSIC Bottleneck for Cross-Generator and Domain-Incremental Synthetic Image Detection Authors: Chin-Chia Yang; Yung-Yu Chuang; Hwann-Tzong Chen; Tyng-Luh Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: HSIC Bottleneck; Cross-Generator Synthetic Image Detection; Domain-Incremental Learning; audio; language; and other modalities
880	HUMOF: Human Motion Forecasting in Interactive Social Scenes Authors: Caiyi Sun; Yujing Sun; Xiao Han; Zemin Yang; Jiawei Liu; Xinge Zhu; SM Yiu; Yuexin Ma Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: scene-aware human motion forecasting; audio; language; and other modalities
881	HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-then-Forecast Diffusion Acceleration Authors: Liang Feng; Shikang Zheng; Jiacheng Liu; Yuqi Lin; Qinming Zhou; Peiliang Cai; Xinyu Wang; Junjie Chen; Chang Zou; Yue Ma; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion Acceleration; Efficiency ML; audio; language; and other modalities
882	HiTeA: Hierarchical Temporal Alignment for Training-Free Long-Video Temporal Grounding Authors: Xinyi Xu; Hongsong Wang; Guo-Sen Xie; Caifeng Shan; Fang Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: video temporal grounding; training-free; Long-video Understanding; vision-language models; audio; language; and other modalities
883	HiVid: LLM-Guided Video Saliency For Content-Aware VOD And Live Streaming Authors: Jiahui Chen; Bo Peng; Lianchen Jia; Zeyu Zhang; Tianchi Huang; Lifeng Sun Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Streaming; Highlight Detection; Large Language Model; Time Series Forecasting; audio; language; and other modalities
884	HierLoc: Hyperbolic Entity Embeddings for Hierarchical Visual Geolocation Authors: Hari Krishna Gadi; Daniel Matos; Hongyi Luo; Lu Liu; Yongliang Wang; Yanfeng Zhang; Liqiu Meng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Representation learning; Multimodal learning; Contrastive learning; Manifold learning; Hierarchical modeling; Geospatial AI; audio; language; and other modalit…
885	Hierarchical Semantic-Acoustic Modeling via Semi-Discrete Residual Representations for Expressive End-to-End Speech Synthesis Authors: Yixuan Zhou; Guoyang Zeng; Xin Liu; Xiang Li; Renjie Yu; Ziyang Wang; Runchuan Ye; Weiyue Sun; Jiancheng Gui; Kehan Li; Zhiyong Wu; Zhiyuan Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: text-to-speech synthesis; diffusion language model; semi-discrete representations; voice cloning; audio; language; and other modalities
886	Hilbert-Guided Sparse Local Attention Authors: Yunge Li; Lanyu Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: local attention; window attention; neighborhood attention; sliding window attention; Hilbert curve; attention acceleration; audio; language; and other modaliti…
887	Histopathology-Genomics Multi-modal Structural Representation Learning for Data-Efficient Precision Oncology Authors: Kun Wu; Zhiguo Jiang; Xinyu Zhu; Jun Shi; Yushan Zheng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multi-modal learning; histopathology image representation learning; genomic data; graph structure learning; audio; language; and other modalities
888	Human-Object Interaction via Automatically Designed VLM-Guided Motion Policy Authors: Zekai Deng; Ye Shi; Kaiyang Ji; Lan Xu; Shaoli Huang; Jingya Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human-Object interaction; Character animation; Human motion generation; audio; language; and other modalities
889	Human3R: Everyone Everywhere All at Once Authors: Yue Chen; Xingyu Chen; Yuxuan Xue; Anpei Chen; Yuliang Xiu; Gerard Pons-Moll Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human-Scene Reconstruction; 3D/4D Reconstruction; audio; language; and other modalities
890	Hyden: A Hybrid Dual-Path Encoder for Monocular Geometry of High-resolution Images Authors: Zaiwei Zhang; Marc Mapeke; Wei Ye; Rakesh Ranjan; JQ Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D vision; Monocular Depth Estimation; Monocular Surface Normal Estimation; audio; language; and other modalities
891	Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation Authors: Yujia Cai; Boxuan Li; Chenghao Xu; Jiexi Yan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image Retrieval; Vision–Language Representation Models; Hypernetworks; Style Adaptation; Contrastive Learning; audio; language; and other modalities
892	IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction Authors: Hao Li; Zhengyu Zou; Fangfu Liu; Xuanyang Zhang; Fangzhou Hong; Yukang Cao; Yushi LAN; Manyuan Zhang; Gang YU; Dingwen Zhang; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Scene Understanding; Multi-View Reconstruction; audio; language; and other modalities
893	Identity-Free Deferral For Unseen Experts Authors: Joshua Strong; Pramit Saha; Yasin Ibrahim; Cheng Ouyang; Alison Noble Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: learning to defer; healthcare; medical; human-AI collaboration; deferral; uncertainty; audio; language; and other modalities
894	ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning Authors: Yuxiang Guo; Jiang Liu; Ze Wang; Hao Chen; Ximeng Sun; Yang Zhao; Jialian Wu; Xiaodong Yu; Zicheng Liu; Emad Barsoum Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image reward model; audio; language; and other modalities
895	Imagine How To Change: Explicit Procedure Modeling for Change Captioning Authors: Jiayang Sun; Zixin Guo; Min Cao; Guibo Zhu; Jorma Laaksonen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: dynamic procedure understanding; confidence-guided sampling; change captioning; audio; language; and other modalities
896	Implicit 4D Gaussian Splatting for Fast Motion with Large Inter-Frame Displacements Authors: Seung-gyeom Kim; Areum Kim; Yongjae Yoo; Sukmin Yun Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 4D Gaussian splatting; 4D reconstruction; Dynamic rendering; audio; language; and other modalities
897	Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization Authors: Xintong Li; Chuhan Wang; Junda Wu; Rohan Surana; Tong Yu; Julian McAuley; Jingbo Shang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal; Importance Sampling; Direct Preference Optimization; audio; language; and other modalities
898	Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution Authors: Bin Chen; Weiqi Li; Shijie Zhao; Xuanyu Zhang; Junlin Li; Li zhang; Jian Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Real-World Video Super-Resolution; One-Step Diffusion; Improved Adversarial Diffusion Compression; Diffusion Distillation; audio; language; and other modalities
899	Improving 2D Diffusion Models for 3D Medical Imaging with Inter‑Slice Consistent Stochasticity Authors: Chenhe Du; Qing Wu; Xuanyu Tian; Jingyi Yu; Hongjiang Wei; Yuyao Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: diffusion models; inverse problems; CT reconstruction; 3D; medical imaging; audio; language; and other modalities
900	Improving Attributed Long-form Question Answering with Intent Awareness Authors: Xinran Zhao; Aakanksha Naik; Jay DeYoung; Joseph Chee Chang; Jena D. Hwang; Tongshuang Wu; Varsha Kishore Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: deep research; long form question answering; attributed question answering; RAG; supervised fine-tuning; audio; language; and other modalities
901	Improving Black-Box Generative Attacks via Generator Semantic Consistency Authors: Jongoh Jeong; Hunmin Yang; Jaeseok Jeong; Kuk-Jin Yoon Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: adversarial transferability; transferable adversarial attacks; generative models; audio; language; and other modalities
902	InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search Authors: Kaican Li; Lewei Yao; Jiannan Wu; Tiezheng YU; Jierun Chen; Haoli Bai; Lu Hou; Lanqing HONG; Wei Zhang; Nevin L. Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: thinking with images; o3; visual search; multi-agent framework; reinforcement learning; audio; language; and other modalities
903	IncVGGT: Incremental VGGT for Memory-Bounded Long-Range 3D Reconstruction Authors: Keyu Fang; Changchun Zhou; Yuzhe Fu; Hai Helen Li; Yiran Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Reconstruction; memory efficient; long range; point cloud; audio; language; and other modalities
904	Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning Authors: Ran Xu; Jingjing Chen; Jiayu Ye; Yu Wu; Jun Yan; Carl Yang; Hongkun Yu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LLM judge; tool-integrated reasoning; Agentic RL; audio; language; and other modalities
905	IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs Authors: Ali Faraz; Akash; Shaharukh Khan; Raja Kolla; Akshat Patidar; Suranjan Goswami; Abhinav Ravi; Chandra Khatri; Shubham Agarwal Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision Language Models; VLMs; Multimodal models; Cultural VLMs; Mutlimodal Evaluation; OCR; Cultural VQA; Mutlimodal Machine Translation; MMT; audio; language;…
906	Inlier-Centric Post-Training Quantization for Object Detection Models Authors: Minsu Kim; Dongyeun Lee; Jaemyung Yu; Jiwan Hur; Giseop Kim; Junmo Kim Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Quantization; Object Detection; Efficiency; audio; language; and other modalities
907	Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval Authors: Yulong Hui; Chao Chen; Zhihang Fu; Yihao Liu; Jieping Ye; Huanchen Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; LLM Agent; LLM Reasoning; audio; language; and other modalities
908	Interaction-aware Representation Modeling With Co-Occurrence Consistency for Egocentric Hand-Object Parsing Authors: YUEJIAO SU; Yi Wang; Lei Yao; Yawen Cui; Lap-Pui Chau Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Egocentric vision; human-environment interaction; hand-object parsing; consistency; audio; language; and other modalities
909	Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals Authors: Davide Lobba; Fulvio Sanguigni; Bin Ren; Marcella Cornia; Rita Cucchiara; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Virtual Try-Off; Fashion; Generation; Diffusion Transformer; audio; language; and other modalities
910	JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA Authors: Hyunju Kang; Woohyun Lee; Jaewon Kim; Hogun Park Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Industrial Anomaly QA; Large Multimodal models; audio; language; and other modalities
911	JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence Authors: Qiushi Sun; Jingyang Gong; Yang Liu; Qiaosheng Chen; Lei Li; Kai Chen; Qipeng Guo; Ben Kao; Fei Yuan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal LLM; Data Synthesis; Code Generation; Data Visualization; audio; language; and other modalities
912	Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation Authors: Jinpeng Lu; Linghan Cai; Yinda Chen; Guo Tang; Songhan Jiang; Haoyuan Shi; Zhiwei Xiong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Efficient Medical segmentation; multimodal learning; Knowledge Transfer; audio; language; and other modalities
913	Joint Optimization for 4D Human-Scene Reconstruction in the Wild Authors: Zhizheng Liu; Joe Lin; Wayne Wu; Bolei Zhou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human Scene Interaction; Global Human Motion Estimation; Dense Scene Reconstruction; audio; language; and other modalities
914	Joint Shadow Generation and Relighting via Light-Geometry Interaction Maps Authors: Shan Wang; Peixia Li; Chenchen Xu; Ziang Cheng; Jiayu Yang; Hongdong Li; Pulak Purkait Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Shadow Generation; Relight; Bridge matching; audio; language; and other modalities
915	JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation Authors: Guillem Capellera; Luis Ferraz; Antonio Rubio Romano; Alexandre Alahi; Antonio Agudo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multi-Agent; Diffusion; Controllable; Trajectory; audio; language; and other modalities
916	K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model Authors: Bangwei Guo; Yunhe Gao; Meng Ye; Difei Gu; Yang Zhou; Leon Axel; Dimitris N. Metaxas Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Medical Image; Image Segmentation; Universal Model; Prompt Integration; audio; language; and other modalities
917	KernelFusion: Zero-Shot Blind Super-Resolution via Patch Diffusion Authors: Oliver Heinimann; Tal Zimbalist; Assaf Shocher; michal Irani Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Kernel Estimation; Super Resolution; audio; language; and other modalities
918	KinemaDiff: Towards Diffusion for Coherent and Physically Plausible Human Motion Prediction Authors: Ye Lu; Jie Wang; Tianyi Liu; Jianjun Gao; Kim-Hui Yap Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human Motion Prediction; audio; language; and other modalities
919	KnowProxy: Adapting Large Language Models by Knowledge-guided Proxy Authors: Gukhyeon Lee; Yeachan Kim; SangKeun Lee Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Indirect Tuning; Efficient Fine-tuning; Large Language Models; audio; language; and other modalities
920	Knowing When to Quit: Probabilistic Early Exits for Speech Separation Networks Authors: Kenny Falkær Olsen; Mads Østergaard; Karl Ulbæk; Søren Føns Nielsen; Rasmus Malik Høegh Lindrup; Bjørn Sand Jensen; Morten Mørup Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: speech separation; speech enhancement; deep learning; early exit; dynamic neural networks; audio; language; and other modalities
921	Knowledge Exchange with Confidence: Cost-Effective LLM Integration for Reliable and Efficient Visual Question Answering Authors: Mahsa Mozaffari; Hitesh Sapkota; Xumin Liu; Qi Yu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: visual question answering; model calibration; audio; language; and other modalities
922	LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR Authors: Guang Yang; Victoria Ebert; Nazif Can Tamer; Brian Siyuan Zheng; Luiza Amador Pozzobon; Noah A. Smith Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Optical Music Recognition; AI for Music; Multimodal Learning; audio; language; and other modalities
923	LLM2Fx-Tools: Tool Calling for Music Post-Production Authors: SeungHeon Doh; Junghyun Koo; Marco A. Martínez-Ramírez; Woosung Choi; Wei-Hsiang Liao; Qiyu Wu; Juhan Nam; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Music Post Production; Fx Chain Generation; Tool Calling; audio; language; and other modalities
924	LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding Authors: Hanyu Zhou; Gim Hee Lee Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 4D scene understanding; large multimodal model; spatiotemporal prompt; multimodal learning; audio; language; and other modalities
925	LLaVAction: evaluating and training multi-modal large language models for action understanding Authors: Haozhe Qi; Shaokai Ye; Alexander Mathis; Mackenzie W Mathis Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MLLM; action understanding; video understanding; audio; language; and other modalities
926	LSA: Layer-wise Sparsity Allocation for Large Language Model Pruning Based on Minimal Linear Reconstruction Error Authors: Zhiguo Yang; Changjian Deng; Qinke Chen; Zijing Zhou; Jian Cheng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Layer-wise Sparsity Allocation; Large Language Model Pruning; Linear Reconstruction Error; audio; language; and other modalities
927	LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration Authors: Alessio Spagnoletti; Andres Almansa; Marcelo Pereyra Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Inverse Solver; Langevin sampling; Consistency Models; Video Interpolation; audio; language; and other modalities
928	LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection Authors: Benjamin Shiue-Hal Chou; Purvish Jajal; Nicholas John Eliopoulos; James C. Davis; George K Thiruvathukal; Kristen Yeon-Ji Yun; Yung-Hsiang Lu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Music; Audio; Multimodal learning; Representation Learning; Transformer; audio; language; and other modalities
929	Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning Authors: David Bani-Harouni; Chantal Pellegrini; Ege Özsoy; Nassir Navab; Matthias Keicher Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Clinical Decision Making; Large Language Models; audio; language; and other modalities
930	Language-guided Open-world Video Anomaly Detection under Weak Supervision Authors: Zihao Liu; Xiaoyu Wu; Jianqin Wu; Xuxu Wang; Linlin Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: video anomaly detection; weakly-supervised; multimodal; audio; language; and other modalities
931	Large Depth Completion Model from Sparse Observations Authors: Zhu Yu; zhengyi zhao; Runmin Zhang; Lingteng Qiu; Kejie Qiu; Yisheng He; Siyu Zhu; Zilong Dong; Si-Yuan Cao; Hui-liang Shen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Depth Completion; audio; language; and other modalities
932	Latent Visual Reasoning Authors: Bangzheng Li; Ximeng Sun; Jiang Liu; Ze Wang; Jialian Wu; Xiaodong Yu; Emad Barsoum; Muhao Chen; Zicheng Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multimodal large language models; vision Language Models; multimodal reasoning; audio; language; and other modalities
933	LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models Authors: Weibin Liao; Xin Gao; Tianyu Jia; Rihong Qiu; Yifan Zhu; Yang Lin; Xinyu Ma; Junfeng Zhao; Yasha Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Model; Text-to-SQL; audio; language; and other modalities
934	LearnPruner: Rethinking Attention-based Token Pruning in Vision Language Models Authors: Rinyoichi Takezoe; Yaqian Li; Zi-Hao Bo; Anzhou Hou; Mo Guang; Kaiwen Long Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision-Language Model; Token Reduction; audio; language; and other modalities
935	Learnable Fractional Superlets with a Spectro-Temporal Emotion Encoder for Speech Emotion Recognition Authors: Alaa Nfissi; Wassim Bouachir; Nizar Bouguila; Brian L Mishara Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Speech Emotion Recognition; Time–Frequency Analysis; Learnable Fractional Superlets; Spectro-Temporal Encoding; Representation Learning; End-to-End Neural Netw…
936	Learnable Sparsity for Vision Generative Models Authors: Yang Zhang; Er Jin; Wenzhong Liang; Yanfei Dong; Ashkan Khakzar; Philip Torr; Johannes Stegmaier; Kenji Kawaguchi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: efficiency; diffusion model; pruning; flow matching; audio; language; and other modalities
937	Learning Domain-Aware Task Prompt Representations for Multi-Domain All-in-One Image Restoration Authors: Guanglu Dong; Chunlei Li; Chao Ren; Jingliang Hu; Yilei Shi; Xiao Xiang Zhu; Lichao Mou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multi-domain all-in-one image restoration; prompt learning; low-level computer vision; audio; language; and other modalities
938	Learning Heterogeneous Degradation Representation for Real-World Super-Resolution Authors: Haowei Li; Pengxu Wei; Dongyu Zhang; Liang Lin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Real-World Super-Resolution; Representation Learning.; audio; language; and other modalities
939	Learning Hierarchical and Geometry-Aware Graph Representations for Text-to-CAD Authors: Shengjie Gong; Wenjie Peng; Hongyuan Chen; Gangyu Zhang; Yunqing Hu; Huiyuan Zhang; Shuangping Huang; Tianshui Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Text-to-CAD; Graph Representations; Large Language Models; Curriculum Learning; audio; language; and other modalities
940	Learning Retrieval Models with Sparse Autoencoders Authors: Thibault Formal; Maxime Louis; Hervé Déjean; Stéphane Clinchant Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: text embedding; sparse autoencoders; sparse retrieval; large language models; audio; language; and other modalities
941	Learning Self-Critiquing Mechanisms for Region-Guided Chest X-Ray Report Generation Authors: Sixing Yan; Ziao Wang; Kejing Yin; William K. Cheung; Ka Chun Cheung; Simon See Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: radiology report generation; x-ray report generation; self-critiquing mechanism; audio; language; and other modalities
942	Learning to Generate Stylized Handwritten Text via a Unified Representation of Style, Content, and Noise Authors: Honglie Wang; Yan-Ming Zhang; Wangzi Yao; Fei Yin; Cheng-Lin Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: handwriting text generation; flow matching; in-contaext generation; audio; language; and other modalities
943	Learning to Reason for Hallucination Span Detection Authors: Hsuan Su; Ting-Yao Hu; Hema Swetha Koppula; Kundan Krishna; Hadi Pouransari; Cheng-Yu Hsieh; Cem Koc; Joseph Yitan Cheng; Oncel Tuzel; Raviteja Vemulapalli Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Hallucination Detection; Reasoning; Reinforcement Learning; Large Language Models; audio; language; and other modalities
944	Learning to Summarize by Learning to Quiz: Adversarial Agentic Collaboration for Long Document Summarization Authors: Weixuan Wang; Minghao Wu; Barry Haddow; Alexandra Birch Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LLM Agent; Summarization; audio; language; and other modalities
945	Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting Authors: Yixing Lao; Xuyang BAI; Xiaoyang Wu; Nuoyuan Yan; Zixin Luo; Tian Fang; Jean-Daniel Nahmias; Yanghai Tsin; Shiwei Li; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Gaussian Splatting; Texture; Feed-Forward; 3D Reconstruction; audio; language; and other modalities
946	Let's Split Up: Zero-Shot Classifier Edits for Fine-Grained Video Understanding Authors: Kaiting Liu; Hazel Doughty Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Understanding; Representation Learning; Action Recognition; audio; language; and other modalities
947	LiFR-Seg: Anytime High-Frame-Rate Segmentation via Event-Guided Propagation Authors: Xiaoshan Wu; Xiaoyang Lyu; Yifei Yu; Bo Wang; Zhongrui Wang; Xiaojuan Qi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Event Camera; Neuromorphic Computing; audio; language; and other modalities
948	LiTo: Surface Light Field Tokenization Authors: Jen-Hao Rick Chang; Xiaoming Zhao; Dorian Chan; Oncel Tuzel Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: generative model; 3D vision; audio; language; and other modalities
949	Light of Normals: Unified Feature Representation for Universal Photometric Stereo Authors: Houyuan Chen; Hong Li; Chongjie Ye; Zhaoxi Chen; Bohan Li; Shaocong Xu; Xianda Guo; Xuhui Liu; Yikai Wang; Baochang Zhang; Satoshi Ikehata; Boxin Shi; Anyi Rao; Hao Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: photometric stereo; normal estimation; register; VIT; audio; language; and other modalities
950	Lightweight Spatio-Temporal Modeling via Temporally Shifted Distillation for Real-Time Accident Anticipation Authors: Patrik Patera; Yie-Tarng Chen; Wen-Hsien Fang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: lightweight spatio-temporal modeling; model distillation; accident anticipation; edge deployment; audio; language; and other modalities
951	LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora Authors: Luyao Zhuang; Shengyuan Chen; Yilin Xiao; Huachi Zhou; Yujing Zhang; Hao Chen; Qinggang Zhang; Xiao Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: large languagde models; retrieval augmented generation; graph retrieval augmented generation; efficiency; audio; language; and other modalities
952	LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution Authors: Xiaohui Li; Shaobin Zhuang; Shuo Cao; Yang Yang; Yuandong Pu; Qi Qin; Siqi Luo; Bin Fu; Yihao Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image Super-Resolution; Linear Attention; Training Stability; audio; language; and other modalities
953	LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion Authors: Clara Xue; Zizheng Yan; Zhenning Shi; Yuhang Yu; Jingyu Zhuang; Qi Zhang; Jinwei Chen; Qingnan Fan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Live Photo; Reference-based Image Restoration; Conditional Image Generation; Motion Alignment; audio; language; and other modalities
954	LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing Authors: Wenbing Li; Zikai Song; Hang Zhou; Junqing Yu; Yunyao Zhang; Wei Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MoE Optimization; LLM; Low resource adaptation; audio; language; and other modalities
955	Loc$^{2}$: Interpretable Cross-View Localization via Depth-Lifted Local Feature Matching Authors: Zimin Xia; Chenghao Xu; Alexandre Alahi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Cross-view localization; ground-to-aerial image matching; visual localization; computer vision; audio; language; and other modalities
956	LogiStory: A Logic-Aware Framework for Multi-Image Story Visualization Authors: Chutian Meng; Fan Ma; Chi Zhang; Jiaxu Miao; Yi Yang; Yueting Zhuang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Visual Storytelling; Multi-Image Sequence Generation; Story Planning; Visual Logic Consistency; Causal Reasoning; Narrative Coherence; audio; language; and oth…
957	Low-Latency Neural LiDAR Compression with 2D Context Models Authors: Rui Song; Yan Wang; Tongda Xu; Zhening Liu; Zehong Lin; Jun Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Data Compression; audio; language; and other modalities
958	LucidFlux: Caption-Free Photo-Realistic Image Restoration via a Large-Scale Diffusion Transformer Authors: Song Fei; Tian Ye; Lujia Wang; Lei Zhu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion Transformer; Generative Models; Image Restoration; audio; language; and other modalities
959	LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context Authors: Jingzhi Bao; HONGZE CHEN; Lingting Zhu; Chenyu Liu; Runze Zhang; keyang luo; Zeyu HU; Weikai Chen; Yingda Yin; Xin Wang; Zehong Lin; Jun Zhang; Xiaoguang Han Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Texture Generation; 3D Generation; Diffusion Models; Physically Based Rendering; audio; language; and other modalities
960	M$^2$-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining Authors: Rui Lv; Juncheng Mo; Tianyi Chu; Chen Rao; Hongyi Jing; Jiajie Teng; Jiafu Chen; Shiqi Zhang; Liangzi Ding; Shuo Fang; Huaizhong Lin; Ziqiang Dang; Chenguang Ma; Lei Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: GUI Agent; Vision-Language Models; Data synthesis; Monte Carlo Tree Search; audio; language; and other modalities
961	MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding Authors: Peiran Wu; Zhuorui Yu; Yunze Liu; Chi-Hao Wu; Enmin Zhou; Junxiao Shen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Token Compression; Efficient Video Understanding; audio; language; and other modalities
962	MARS - A Foundational Map Auto-Regressor Authors: Qi Zhang; Suvam Bag; Rupanjali Kukal; Mikael Figueroa; Rishi Madhok; Nikolaos Karianakis; Fuxun Yu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computer Vision; Remote Sensing; Geospatial AI; Human-in-the-loop; audio; language; and other modalities
963	MARS-Sep: Multimodal-Aligned Reinforced Sound Separation Authors: Zihan Zhang; Xize Cheng; Zhennan Jiang; Dongjie Fu; Jingyuan Chen; Zhou Zhao; Tao Jin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Universal Sound Separation; Multimodal Learning; Reinforcement Learning; audio; language; and other modalities
964	MASAM: Multimodal Adaptive Sharpness-Aware Minimization for Heterogeneous Data Fusion Authors: Zijie Chen; Kejing Yin; Wenfang Yao; William K. Cheung; Jing Qin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal learning; Modality imbalance; Generalization.; audio; language; and other modalities
965	MEGS^{2}: Memory-Efficient Gaussian Splatting via Spherical Gaussians and Unified Pruning Authors: Jiarui Chen; Yikeng Chen; Yingshuang Zou; Ye Huang; Peng Wang; Yuan Liu; Yujing Sun; Wenping Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D vision; 3D construction; novel view synthesis; 3D Gaussian Splatting; lightweight 3DGS; 3DGS compression; audio; language; and other modalities
966	MIAM: Modality Imbalance-Aware Masking for Multimodal Ecological Applications Authors: Robin Zbinden; Wesley Monteith-Finas; Gencer Sumbul; Nina van Tiel; Chiara Vanalli; Devis Tuia Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multimodality; masking; modality imbalance; ecology; audio; language; and other modalities
967	MIMIC: Mask-Injected Manipulation Video Generation with Interaction Control Authors: Tianxiao Chen; Jintao Rong; Huajin Chen; Jingya Wang; Tao Zhou; Jiming Chen; Qi Ye Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: video diffusion model; manipulation video; audio; language; and other modalities
968	MMDuet2: Enhancing Proactive Interaction of Video MLLMs with Multi-Turn Reinforcement Learning Authors: Yueqian Wang; Songxiang Liu; Disong Wang; Nuo Xu; Wan Guanglu; Huishuai Zhang; Dongyan Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Proactive Interaction; Video Dialogue; Video MLLM; audio; language; and other modalities
969	MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents Authors: Xijia Tao; Teng Yihua; Xinxing Su; Xinyu Fu; Jihao Wu; Chaofan Tao; Ziru Liu; Haoli Bai; Rui Liu; Lingpeng Kong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Multimodal Model; AI Search Engine; Benchmark; Agent Framework; audio; language; and other modalities
970	MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs Authors: Sixun Dong; Juhua Hu; Mian Zhang; Ming Yin; Yanjie Fu; Qi Qian Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Efficient VLM Inference; Multimodal Model; audio; language; and other modalities
971	MRAD: Zero-Shot Anomaly Detection with Memory-Driven Retrieval Authors: Chaoran Xu; Chengkan Lv; Qiyu Chen; Feng Zhang; Zhengtao Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Anomaly detection; Zero-shot anomaly detection; Memory retrieval; CLIP; audio; language; and other modalities
972	MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control Authors: Sahil Kumar; Namrataben Patel; Honggang Wang; Youshan Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: text-to-speech (TTS); speech synthesis; voice cloning; Mamba; state space models (SSM); diffusion TTS; prosody modeling; streaming/low-latency; audio; language…
973	Mango-GS: Enhancing Spatio-Temporal Consistency in Dynamic Scenes Reconstruction using Multi-Frame Node-Guided 4D Gaussian Splatting Authors: Tingxuan Huang; Haowei Zhu; Jun-Hai Yong; Hao Pan; Bin Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3DGS; Dynamic Reconstruction; Multi-frame; audio; language; and other modalities
974	Math Blind: Failures in Diagram Understanding Undermine Reasoning in MLLMs Authors: Yanpeng Sun; Shan Zhang; Wei Tang; Aotian Chen; Piotr Koniusz; Kai Zou; Yuan Xue; Anton van den Hengel Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Multimodal mathematical reasoning; Mathematical Diagram Understanding; audio; language; and other modalities
975	Matting Anything 2: Towards Video Matting for Anything Authors: Chenyi Zhang; Yiheng Lin; Yunchao Wei; Hongsong Wang; Caifeng Shan; Fang Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Matting; audio; language; and other modalities
976	Measure Twice, Cut Once: A Semantic-Oriented Approach to Video Temporal Localization with Video LLMs Authors: Zongshang Pang; Mayu Otani; Yuta Nakashima Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video LLMs; Video Temporal Localization; Contrastive Learning; audio; language; and other modalities
977	Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models Authors: Haolin He; Xingjian Du; Renhe Sun; Zheqi Dai; Yujia Xiao; Mingru Yang; Jiayi Zhou; Xiquan Li; Zhengxi Liu; Zining Liang; Chunyat Wu; Qianhua He; Tan Lee; Xie Chen; Wei-Long Zheng;… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Audio Language Models; Audio-Contribution; Post-Training; audio; language; and other modalities
978	MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow Authors: Ziyue Wang; Junde Wu; Linghan Cai; Chang Han Low; Xihong Yang; Qiaxuan Li; Yueming Jin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Medical AI; Agentic AI; audio; language; and other modalities
979	MedGMAE: Gaussian Masked Autoencoders for Medical Volumetric Representation Learning Authors: Xueming Fu; Fenghe Tang; Rongsheng Wang; Yingtai Li; Lixia Han; Jian Lu; Zihang Jiang; S Kevin Zhou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Representation; Medical Imaging analysis; Volumetric Representation Learning; audio; language; and other modalities
980	Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba Authors: Donghyun Lee; Yuhang Li; Ruokai Yin; Shiting Xiao; Priyadarshini Panda Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Brain-inspired computing; Mamba; Fine-tuning; audio; language; and other modalities
981	Memento: Toward an All-Day Proactive Assistant for Ultra-Long Streaming Video Authors: Hongxiang Jiang; Zengrui Ge; guo chen; Qixiong Wang; Jile Jiao; Xuetao Feng; Yuan Wang; Yan Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision-Language Models; Online Ultra-Long video understanding; Dynamic Memory; audio; language; and other modalities
982	MergePRAG: Orthogonal Merging of Passage-experts for Multi-hop Parametric RAG Authors: Xuebing Liu; Shanbao Qiao; Roseline Nyange; Dongwook Min; Hyun Kim; Seung-Hoon Na Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multi-hop reasoning; Knowledge enhancement; Retrieval-augmented generation; Hypernetwork-based expert generation; audio; language; and other modalities
983	Mesh Splatting for End-to-end Multiview Surface Reconstruction Authors: Ruiqi Zhang; JiachengWU; Jie Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multi-View Stereo; Geometry Processing; Meshe Synthesis; audio; language; and other modalities
984	Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering Authors: Akash Gupta; Amos Storkey; Mirella Lapata Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Multimodal Models; Meta-learning; Soft Prompts; Test-Time Adaptation; audio; language; and other modalities
985	MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites Authors: Zhenxin Lei; Zhangwei Gao; Changyao Tian; Erfei Cui; Guanzhou Chen; Danni Yang; Yuchen Duan; Zhaokai Wang; Wenhao Li; Weiyun Wang; Xiangyu Zhao; Jiayi Ji; Yu Qiao; Wenhai Wang; Ge… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Visual Captioning; Multimodal Large Language Model; audio; language; and other modalities
986	MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse Authors: Zhenyu Pan; Han Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: spatial reasoning; vision language model; audio; language; and other modalities
987	MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation Authors: Rongsheng Wang; Minghao Wu; Hongru Zhou; Zhihan Yu; Zhenyang Cai; Junying Chen; Benyou Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Microscale Simulation; Video Generation; Benchmark; Text-to-Video Dataset; audio; language; and other modalities
988	Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search Authors: Xin Lai; Junyi Li; Wei Li; Tao Liu; Tianjian Li; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Visual Search; Thinking-with-images; Reinforcement Learning; audio; language; and other modalities
989	Mitigating Hallucination in Vision-Language Model with Depth and Spatial-aware Key-Value Refinement Authors: Gusang Lee; Soohyun Kim; Donghoon Kim; Kyuhong Shim; Byonghyo Shim Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Hallucination in Vision Language Model; Depth and Spatial-aware key value Cache Refinement; Key-Value Cache Manipulation; Multi Modal; audio; language; and oth…
990	Mixing Importance with Diversity: Joint Optimization for KV Cache Compression in Large Vision-Language Models Authors: Xuyang Liu; Xiyan Gui; Yuchao Zhang; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Vision-language Models; Inference Efficiency; Large Language Models; audio; language; and other modalities
991	Mixture of Contexts for Long Video Generation Authors: Shengqu Cai; Ceyuan Yang; Lvmin Zhang; Yuwei Guo; Junfei Xiao; Ziyan Yang; Yinghao Xu; Zhenheng Yang; Alan Yuille; Leonidas Guibas; Maneesh Agrawala; Lu Jiang; Gordon Wetzstein Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Generation; audio; language; and other modalities
992	Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning Authors: Daniel Shao; Joel Runevic; Richard J. Chen; Drew FK Williamson; Ahrong Kim; Andrew H. Song; Faisal Mahmood Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Mixture of Experts; Multiple Instance Learning; Computational Pathology; Computer Vision; Histopathology; audio; language; and other modalities
993	MoCa: Modeling Object Consistency for 3D Camera Control in Video Generation Authors: Zhijing Cheng; Xuancheng Zhang; Donglin Di; Chen Wei; Hao Li; Xun Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Text-To-Video; Camera-Control; Video Generation; Generative Model; audio; language; and other modalities
994	MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting Authors: In-Hwan Jin; Hyeongju Mun; Joonsoo Kim; Kugjin Yun; Kyeongbo Kong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Gaussian Splatting; Dynamic Scene Reconstruction; Mixture of Experts; audio; language; and other modalities
995	MoRA: Missing Modality Low-Rank Adaptation for Visual Recognition Authors: Shu Zhao; Nilesh Ahuja; Tan Yu; Tianyi Shen; Vijaykrishnan Narayanan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Classification; Missing Modality; Parameter-Efficient Fine-Tuning; audio; language; and other modalities
996	Mobile-GS: Real-time Gaussian Splatting for Mobile Devices Authors: Xiaobiao Du; Yida Wang; Kun Zhan; Xin Yu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Vision; audio; language; and other modalities
997	MobileIPL: Enhancing Mobile Agents Thinking Process via Iterative Preference Learning Authors: Kun Huang; Weikai Xu; Yuxuan Liu; Quandong Wang; Pengzhi Gao; Wei Liu; Jian Luan; Bin Wang; Bo An Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal; Mobile-Agent; audio; language; and other modalities
998	MobileKGQA: On-Device KGQA System on Dynamic Mobile Environments Authors: Junyong Ahn; Hyeongrok Han; Bong Gyun Kang; Jisoo Mok; Byunghan Lee; Sungroh Yoon Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Knowledge Graph Question Answering; Large Language Model; audio; language; and other modalities
999	Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-exposure Monocular Videos Authors: Jinfeng Liu; Lingtong Kong; Mi Zhou; Jinwei Chen; Dan Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: High Dynamic Range; Gaussian Splatting; Monocular 4D Reconstrution; audio; language; and other modalities
1000	Mordal: Automated Pretrained Model Selection for Vision Language Models Authors: Shiqi He; Insu Jang; Mosharaf Chowdhury Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Model; Vision Language Model; Mode Selection; audio; language; and other modalities
1001	Motion-Aligned Word Embeddings for Text-to-Motion Generation Authors: Ke Han; Yueming Lyu; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: text-to-motion generation; large language model fine-tuning; word embeddings; audio; language; and other modalities
1002	MotionGPT3: Human Motion as a Second Modality Authors: Bingfan Zhu; Biao Jiang; Sunyi Wang; SHIXIANG TANG; Tao Chen; Linjie Luo; Youyi Zheng; Xin Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3d motion; text-driven motion generation; text-to-motion; human motion synthesis; motion caption; audio; language; and other modalities
1003	MotionSight: Boosting Fine-Grained Motion Understanding in Multimodal LLMs Authors: Yipeng Du; Tiehan Fan; Kepan Nan; Rui Xie; Penghao Zhou; Xiang Li; Jian Yang; Zhenheng Yang; Ying Tai Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Understanding; Multimodal LLMs; Fine-grained Motion; audio; language; and other modalities
1004	Multi-Object System Identification from Videos Authors: Chunjiang Liu; Xiaoyuan Wang; Qingran Lin; Albert Xiao; Haoyu Chen; Shizheng Wen; Hao Zhang; Lu Qi; Ming-Hsuan Yang; Laszlo A. Jeni; Min Xu; Yizhou Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Object Property Identification; Physics-based Modeling; audio; language; and other modalities
1005	MultiMat: Multimodal Program Synthesis for Procedural Materials using Large Multimodal Models Authors: Jonas Belouadi; Tamy Boubekeur; Adrien Kaiser Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: generative models; procedural materials; appearance modeling; multimodal learning; program synthesis; audio; language; and other modalities
1006	Multimodal Dataset Distillation Made Simple by Prototype-Guided Data Synthesis Authors: Junhyeok Choi; Sangwoo Mo; Minwoo Chae Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Dataset distillation; Dataset condensation; Vision-language models; Learning-free approach; audio; language; and other modalities
1007	Multimodal Policy Internalization for Conversational Agents Authors: Zhenhailong Wang; Jiateng Liu; Amin Fazel; Ritesh Sarkhel; Xing Fan; Xiang Li; Chenlei Guo; Heng Ji; Ruhi Sarikaya Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Conversational AI; Multimodal models; Policy internalization; Reinforcement learning with verifiable rewards; audio; language; and other modalities
1008	Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs Authors: Yumin Choi; Dongki Kim; Jinheon Baek; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Multimodal Prompt Optimization; Prompt Optimization; audio; language; and other modalities
1009	Music Flamingo: Scaling Music Understanding in Audio Language Models Authors: Sreyan Ghosh; Arushi Goel; Lasha Koroshinadze; Sang-gil Lee; Zhifeng Kong; Joao Felipe Santos; Ramani Duraiswami; Dinesh Manocha; Wei Ping; Mohammad Shoeybi; Bryan Catanzaro Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: music; audio; multi-modal; language model; audio; language; and other modalities
1010	NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation Authors: Penghai Zhao; Jinyu Tian; Qinghua Xing; Xin Zhang; Zheng Li; Jianjun Qian; Ming-Ming Cheng; Xiang Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: AI for Research; Article Quality Estimation; Literature Intelligence Systems; Automated Peer Review; audio; language; and other modalities
1011	NGS-Marker: Robust Native Watermarking for 3D Gaussian Splatting Authors: Hao Qin; Yukai Sun; Luyuan Chen; Mengxu Lu; Feng Zhang; Ming Kong; Zhenhong Du; Qiang Zhu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; digital asset watermarking; copyright protection; audio; language; and other modalities
1012	NOVA3R: Non-pixel-aligned Visual Transformer for Amodal 3D Reconstruction Authors: Weirong Chen; Chuanxia Zheng; Ganlin Zhang; Andrea Vedaldi; Daniel Cremers Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Feed-forward 3D Reconstruction; Non-pixel-aligned 3D Reconstruction; 3D Completion; 3D Tokenization; audio; language; and other modalities
1013	Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Authors: Shaokun Zhang; Yi Dong; Jieyu Zhang; Jan Kautz; Bryan Catanzaro; Andrew Tao; Qingyun Wu; Zhiding Yu; Guilin Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Tool-using; Reinforcement Learning; audio; language; and other modalities
1014	Neural Compression of 3D Meshes using Sparse Implicit Representation Authors: Jianqiang Wang; Siyu Ren; Junhui Hou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: compression; 3D mesh; audio; language; and other modalities
1015	Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning Authors: Jiayao Mai; Bangyan Liao; Zhenjun Zhao; Yingping Zeng; Haoang Li; Javier Civera; Tailin Wu; Yi Zhou; Peidong Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Homotopy System; Graduated optimization; Reinforcement Learning; Polynomial Equitions System; Gaussian Homotopy; Sampling; audio; language; and other modalities
1016	No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers Authors: Damiano Marsili; Georgia Gkioxari Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: VLM; spatial reasoning; LLM; RL; audio; language; and other modalities
1017	No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image Detection Authors: Lianrui Mu; Haoji Hu; Zou Xingze; Jianhong Bai; Jiaqi Hu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: AIGI detection; High-Resolution detection; Featrue aggregation; audio; language; and other modalities
1018	Nüwa: Mending the Spatial Integrity Torn by VLM Token Pruning Authors: Yihong Huang; Fei Ma; Yihua Shao; Jingcai Guo; Zitong YU; Laizhong Cui; Qi Tian Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Efficient Vision-Language Models; Vision Token Pruning; Inference Acceleration; Visual Grounding; audio; language; and other modalities
1019	OD$^3$: Optimization-free Dataset Distillation for Object Detection Authors: Salwa K. Al Khatib; Ahmed Elhagry; Shitong Shao; Zhiqiang Shen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: dataset distillation; object detection; data-centric framework; efficient machine learning; audio; language; and other modalities
1020	ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting Authors: Daniel Wang; Patrick Rim; Tian Tian; Dong Lao; Alex Wong; Ganesh Sundaramoorthi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: gaussian splatting; latent ODE; extrapolation; reconstruction; audio; language; and other modalities
1021	ORCaS: Unsupervised Depth Completion via Occluded Region Completion as Supervision Authors: Hyoungseob Park; Runjian Chen; Patrick Rim; Dong Lao; Alex Wong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Depth completion; Unsupervised Learning; 3D Reconstruction; Multi-modal Learning; audio; language; and other modalities
1022	OSCAR: Online Soft Compression for RAG Authors: Maxime Louis; Thibault Formal; Hervé Déjean; Stéphane Clinchant Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: RAG; Compression; Embedding; Efficiency; Question Answering; audio; language; and other modalities
1023	OVID: Open-Vocabulary Intrusion Detection Authors: Fujun Han; Jingqi Ye; Chenglong Zhang; Peng Ye Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Open-Vocabulary Intrusion Detection; Datasets; Framework; Strategy; audio; language; and other modalities
1024	Object-Centric Refinement for Enhanced Zero-Shot Segmentation Authors: Srinivasa Rao Nandam; Sara Atito; Zhenhua Feng; Josef Kittler; Muhammad Awais Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Zero-Shot Learning; Vision-Language models; Semantic Segmentation; Computer Vision; audio; language; and other modalities
1025	Omni-Captioner: Data Pipeline, Models, and Benchmark for Omni Detailed Perception Authors: Ziyang Ma; Ruiyang Xu; Zhenghao Xing; Yunfei Chu; Yuxuan Wang; Jinzheng He; Jin Xu; Pheng-Ann Heng; Kai Yu; Junyang Lin; Eng Siong Chng; Xie Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Omni model; Multimodal large language model; Detailed captioning; Audio understanding; Video understanding; Benchmark; Evaluation; audio; language; and other m…
1026	OmniText: A Training-Free Generalist for Controllable Text-Image Manipulation Authors: Agus Gunawan; Samuel Teodoro; Yun Chen; Soo Ye Kim; Jihyong Oh; Munchurl Kim Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: diffusion model; text image manipulation; scene text editing; audio; language; and other modalities
1027	OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM Authors: Hanrong Ye; Chao-Han Huck Yang; Arushi Goel; Wei Huang; Zhen Wan; Jinchuan Tian; An-Chieh Cheng; Ligeng Zhu; Yuanhang Su; Yuming Lou; Yong-Xiang Lin; Dong Yang; Sreyan Ghosh; Zhij… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Omni-modal models; Multimodal LLMs; Large Language Models; audio; language; and other modalities
1028	On Discriminative vs. Generative classifiers: Rethinking MLLMs for Action Understanding Authors: Zhanzhong Pang; Dibyadip Chatterjee; Fadime Sener; Angela Yao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Temporal action understanding; multimodal large language models; audio; language; and other modalities
1029	One Patch Doesn’t Fit All: Adaptive Patching for Native-Resolution Multimodal Large Language Models Authors: Wenzhuo Liu; Weijie Yin; Fei Zhu; Shijie Ma; Haiyang Guo; yi chen; Xiao-Hui Li; LiangXiao; ChaoFeng; Cheng-Lin Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Native Resolution; Multimodal Large Language Models; audio; language; and other modalities
1030	One step further with Monte-Carlo sampler to guide diffusion better Authors: Minsi Ren; Wenhao Deng; Ruiqi Feng; Tailin Wu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Conditional Generation; Diffusion Model; Training-free Guidance; audio; language; and other modalities
1031	Online Navigation Refinement: Achieving Lane-Level Guidance by Associating Standard-Definition and Online Perception Maps Authors: Jiaxu Wan; Xu Wang; Mengwei Xie; Xinyuan Chang; Xinran Liu; Zheng Pan; Mu Xu; Hong Zhang; Ding Yuan; Yifan Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: online navigation refinement; geographic information systems; navigation; standard definition map; online perception map; audio; language; and other modalities
1032	Open-Set Semantic Gaussian Splatting SLAM with Expandable Representation Authors: Yucheng Yan; Chen Liang; Wenguan Wang; Yi Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Dense Semantic SLAM; 3D Scene Representation; audio; language; and other modalities
1033	Optimizing ID Consistency in Multimodal Large Models: Facial Restoration via Alignment, Entanglement, and Disentanglement Authors: Yuran Dong; Hang Dai; Mang Ye Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Identity preservation; Facial reconstruction; Multimodal Large Models; Fashion Image Editing; audio; language; and other modalities
1034	P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark Authors: Tao Sun; Enhao Pan; Zhengkai Yang; Kaixin Sui; Jiajun Shi; Xianfu Cheng; Tongliang Li; Ge Zhang; Wenhao Huang; Jian Yang; Zhoujun Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Poster Generate; LLM-as-a-Judge; Multi Agent; audio; language; and other modalities
1035	PAGE-4D: VGGT-4D Perception via Disentangled Pose and Geometry Estimation Authors: Kaichen Zhou; Yuhan Wang; Grace Chen; Gaspard Beaudouin; Fangneng Zhan; Paul Pu Liang; Mengyu Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: VGGT-4D; 4D Perception; Camera Pose Estimation; Depth Estimation; Point Cloud Reconstruction; audio; language; and other modalities
1036	PAMDP: Interact to Persona Alignment via a Partially Observable Markov Decision Process Authors: ZHE YANG; Yi Huang; Si Chen; Xiaoting Wu; Jingyu Yao; Junlan Feng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: persona alignment; interact to align; partially observable markov decision process; dual critic reinforcement learning; audio; language; and other modalities
1037	PAT3D: Physics-Augmented Text-to-3D Scene Generation Authors: Guying Lin; Kemeng Huang; Michael Liu; Ruihan Gao; Hanke Chen; Lyuhao Chen; Beijia Lu; Taku Komura; Yuan Liu; Jun-Yan Zhu; Minchen Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Text-to-3D Generation; Vision Language Models; Rigid Body Contact Simulation; Simulation-In-The-Loop Optimization; audio; language; and other modalities
1038	PD$^{2}$GS: Part-Level Decoupling and Continuous Deformation of Articulated Objects via Gaussian Splatting Authors: Haowen Wang; Xiaoping Yuan; Zhao Jin; Zhen Zhao; Zhengping Che; Yousong Xue; Jing Tian; Yakun Huang; Jian Tang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: articulated object; reconstruction; digital twin; audio; language; and other modalities
1039	PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra Authors: Xiachong Feng; Liang Zhao; Weihong Zhong; Yichong Huang; Yuxuan Gu; Lingpeng Kong; Xiaocheng Feng; Bing Qin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Personality Control; Representation Engineering; Model Steering; Inference-Time Adaptation; Compositionality; audio; language; and other…
1040	PI-Light: Physics-Inspired Diffusion for Full-Image Relighting Authors: Zhexin Liang; Zhaoxi Chen; Yongwei Chen; Tianyi Wei; Tengfei Wang; Xingang Pan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion model; Relighting; Inverse rendering; Neural forward rendering; audio; language; and other modalities
1041	PPE: Positional Preservation Embedding for Token Compression in Multimodal Large Language Models Authors: Mouxiao Huang; Borui Jiang; Dehua Zheng; Hailin Hu; Kai Han; Xinghao Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: positional encoding; visual token merging; token clustering; token compression; cascade compression; multimodal large language models; audio; language; and oth…
1042	PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance Authors: Shangkun Sun; Ruyang Liu; Haoran Tang; Yixiao Ge; Haibo Lu; Jiankun Yang; Chen Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video LLM; Prompt-guided Pooling; PPLLaVA; audio; language; and other modalities
1043	PT$^2$-LLM: Post-Training Ternarization for Large Language Models Authors: Xianglong Yan; ChengZhu Bao; Zhiteng Li; Tianao Zhang; Kaicheng Yang; Haotong Qin; Ruobing Xie; Xingwu Sun; Yulun Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Post-Training Quantization; Ternarization; LLM; audio; language; and other modalities
1044	PTNET: A PROPOSAL-CENTRIC TRANSFORMER NET- WORK FOR 3D OBJECT DETECTION Authors: Jianping Zhong; Zhaobo Qi; Kaiwen Duan; Xinyan Liu; Beichen Zhang; Weigang Zhang; Qingming Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Object Detection; Point Clouds; Two-stage; Transformer; audio; language; and other modalities
1045	Panoptic Pairwise Distortion Graph Authors: Muhammad Kamran Janjua; Abdul Wahab; Bahador Rashidi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: distortion analysis; low-level vision; iqa; graphs; audio; language; and other modalities
1046	Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning Authors: Minju Seo; Jinheon Baek; Seongyun Lee; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Natural Language Processing; Code; audio; language; and other modalities
1047	ParaS2S: Benchmarking and Aligning Spoken Language Models for Paralinguistic-aware Speech-to-Speech Interaction Authors: Shu-wen Yang; Ming Tu; Andy T. Liu; Xinghua Qu; Hung-yi Lee; Lu Lu; Yuxuan Wang; Yonghui Wu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: speech-to-speech; spoken dialogues; LLM; benchmark; evaluation; judge; RL; RLAIF; GRPO; audio; language; and other modalities
1048	Parameterization-Based Dataset Distillation of 3D Point Clouds through Learnable Shape Morphing Authors: Dongwook Kim; Jae-Young Yim; Jae-Young Sim Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Dataset Distillation; Distilled Dataset Parameterization; audio; language; and other modalities
1049	Part-level Semantic-guided Contrastive Learning for Fine-grained Visual Classification Authors: Zhijian Lin; Hong Han Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Fine-grained Classification; Attention; Location; Scale; Vision-Language Learning; Contrastive Learning; audio; language; and other modalities
1050	PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data Authors: Zhe Zhu; Le Wan; Rui Xu; Yiheng Zhang; Honghua Chen; Zhiyang Dou; Cheng Lin; Yuan Liu; Mingqiang Wei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Part Segmentation; Segment Anything; Open-World Segmentation; Interactive Segmentation; audio; language; and other modalities
1051	Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs Authors: Yongyi Su; Haojie Zhang; Shijie Li; Nanqing Liu; Jingyi Liao; Junyi Pan; Yuan Liu; Xiaofen Xing; Chong Sun; Chen Li; Nancy F. Chen; Shuicheng YAN; Xulei Yang; Xun Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Referring Expression Comprehension; Visual Reference Token; audio; language; and other modalities
1052	PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation Authors: Zhenyu Li; Wenqing Cui; Shariq Farooq Bhat; Peter Wonka Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Depth Estimation; High Resolution; audio; language; and other modalities
1053	Path Matters: Unveiling Geometric Implicit Bias via Curvature-Aware Sparse View Optimization Authors: Canran Xiao; Liaoyuan Fan; Yanbin Li; Jing Tang; Peilai Yu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; audio; language; and other modalities
1054	PathChat-SegR1: Reasoning Segmentation in Pathology via SO-GRPO Authors: Zelin Liu; Dongdong Chen; Yusong Sun; Yuqi Hu; Huang Jie; Sicheng Dong; Xu Han; Hongmei Yi; Qiyuan Bao; Lichi Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Clinical Reasoning; Reinforcement Learning; Reasoning Segmentation; audio; language; and other modalities
1055	Pay Attention to CTC: Fast and Robust Pseudo-Labelling for Unified Speech Recognition Authors: Alexandros Haliassos; Rodrigo Mira; Stavros Petridis Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Speech Recognition; Audiovisual Learning; Lipreading; Semi-Supervised Learning; Pseudo-Labeling; audio; language; and other modalities
1056	Perception-Aware Policy Optimization for Multimodal Reasoning Authors: Zhenhailong Wang; Xuehang Guo; Sofia Stoica; Haiyang Xu; Hongru WANG; Hyeonjeong Ha; Xiusi Chen; Yangyi Chen; Ming Yan; Fei Huang; Heng Ji Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multimodal reasoning; reinforcement learning; policy optimization; large language models; visual perception; GRPO; DAPO; audio; language; and other modalities
1057	PerfGuard: A Performance-Aware Agent for Visual Content Generation Authors: Zhipeng Chen; zhongrui zhang; Chao Zhang; Yifan Xu; LAN YANG; Jun Liu; Ke Li; Yi-Zhe Song Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Agent; Large Language Model; Image Generation; Image Editing; audio; language; and other modalities
1058	Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models Authors: Chengyu Fang; Heng Guo; Zheng Jiang; Chunming He; Xiu Li; Minfeng Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Medical Image Analysis; Medical VQA; Medical VLM; audio; language; and other modalities
1059	PhysLLM: Harnessing Large Language Models for Cross-Modal Remote Physiological Sensing Authors: Yiping Xie; Bo Zhao; Mingtong Dai; Jian-Ping Zhou; Yue Sun; Tao Tan; Weicheng Xie; Linlin Shen; Zitong YU Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Remote photoplethysmograph; large language model; heart rate; audio; language; and other modalities
1060	Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens Authors: Zhiwen Zheng; Yuheng Qiao; Xiaoshuai Zhang; Zhao Huang; Tao Zhang; Huiyu Zhou; Shaowei Jiang; Jin Liu; Wenwen Tang; Xingru Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computer Vision; Deep Learning; Side Channel Attack; Information Security; Information Theft; audio; language; and other modalities
1061	Physics-Informed Audio-Geometry-Grid Representation Learning for Universal Sound Source Localization Authors: Min-Sang Baek; Gyeong-Su Kim; Donghyun Kim; Joon-Hyuk Chang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Sound Source Localization; Geometry-Invariant; Grid-Flexible; Representation Learning; Physics-Informed Design; Learnable Non-uniform DFT; Relative Microphone…
1062	Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling Authors: Long Peng; Anran Wu; Wenbo Li; PeizheXia; Xinjie Zhang; Xueyuan Dai; Xin Di; Haoze Sun; Renjing Pei; Yang Wang; Yang Cao; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Continuous Super-Resolution; 2DGS; Fast Model; audio; language; and other modalities
1063	Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction Authors: Simon Giebenhain; Tobias Kirschstein; Martin Rünz; Lourdes Agapito; Matthias Nießner Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Single Image Face Reconstruction; Face Tracking; Foundation Model Finetuning; audio; language; and other modalities
1064	PixelCraft: A Multi-Agent system for High-Fidelity Visual Reasoning on Structured Images Authors: Shuoshuo Zhang; Zijian Li; Yizhen Zhang; Jingjing Fu; Lei Song; Jiang Bian; Jun Zhang; Yujiu Yang; Rui Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: chart understanding; multi-agent system; visual reasoning; audio; language; and other modalities
1065	Plan then Act: Bi-level CAD Command Sequence Generation Authors: Qiangya Guo; Gang Dai; Zhuoman Liu; Shuangping Huang; Yunqing Hu; Huiyuan Zhang; Tianshui Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: CAD Command Sequence Generation; LLMs; audio; language; and other modalities
1066	Play to Generalize: Learning to Reason Through Game Play Authors: Yunfei Xie; Yinsong Ma; Shiyi Lan; Alan Yuille; Junfei Xiao; Chen Wei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: reinforcement learning; large language models; audio; language; and other modalities
1067	Plug, Play, and Fortify: A Low-Cost Module for Robust Multimodal Image Understanding Models Authors: Siqi Lu; Wanying XU; Yongbin Zheng; Wenting Luan; Peng Sun; Jianhang Yao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Modality Missing; Plug-and-play module; multimodal imbalanced learning; audio; language; and other modalities
1068	PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity Authors: Zixin Song; Bowen Zhang; Qian-Wen Zhang; di yin; Xing Sun; Chunping Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Conditional Semantic Textual Similarity; Reinforcement Learning; Large Language Models; Natural Language Processing; Curriculum Learning; audio; language; and…
1069	PoSh: Using Scene Graphs to Guide LLMs-as-a-Judge for Detailed Image Descriptions Authors: Amith Ananthram; Elias Stengel-Eskin; Lorena A. Bradford; Julia Demarest; Adam Purvis; Keith Krut; Robert Stein; Rina Elster Pantalony; Mohit Bansal; Kathleen McKeown Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: detailed image description; metric; benchmark; art; VLMs; audio; language; and other modalities
1070	Point Prompting: Counterfactual Tracking with Video Diffusion Models Authors: Ayush Shrivastava; Sanyam Mehta; Daniel Geng; Andrew Owens Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: video diffusion models; tracking; tracking any point; diffusion; corresponding; matching; video generation; audio; language; and other modalities
1071	Point-Focused Attention Meets Context-Scan State Space: Robust Biological Visual Perception for Point Cloud Representation Authors: Kanglin Qu; Pan Gao; Qun Dai; Yuanhao Sun Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Point cloud learning; Attention mechanism; State space model; Biomimetic vision; audio; language; and other modalities
1072	Point-MoE: Large-Scale Multi-Dataset Training with Mixture-of-Experts for 3D Semantic Segmentation Authors: Xuweiyi Chen; Wentao Zhou; Aruni RoyChowdhury; Zezhou Cheng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Semantic Segmentation; Mixture of Expert; Point Cloud Understanding; audio; language; and other modalities
1073	Point-UQ: An Uncertainty-Quantification Paradigm for Point Cloud Few-Shot Class Incremental Learning Authors: Xiangqi Li; Libo Huang; Jiarui Zhao; Weilun Feng; Chuanguang Yang; Zhulin An; Yongjun Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D point cloud processing; few-shot learning; class-incremental learning; audio; language; and other modalities
1074	Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization Authors: Teng Zhang; Ziqian Fan; Mingxin Liu; Xin Zhang; Xudong Lu; Wentong Li; Yue Zhou; Yi Yu; Xiang Li; Junchi Yan; Xue Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Oriented Object Detection; audio; language; and other modalities
1075	PointRePar : SpatioTemporal Point Relation Parsing for Robust Category-Unified 3D Tracking Authors: Juntao Liu; Zikun Zhou; Zhuotao Tian; Guangming Lu; Jun Yu; Wenjie Pei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D single object tracking; category-unified; point relation parsing; audio; language; and other modalities
1076	Pose-RFT: Aligning MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning Authors: Bao Li; Xiaomei Zhang; Miao Xu; Zhaoxin Fan; Xiangyu Zhu; Zhen Lei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human Pose Estimation; Multimodal Large Language Model; Reinforcement Fine-Tuning; audio; language; and other modalities
1077	Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale Authors: Zhengcen Li; Chenyang Jiang; Hang Zhao; Shiyang Zhou; Yunyang Mo; Feng Gao; Fan Yang; Qiben Shan; Shaocong Wu; Jingyong Su Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: AI-Generated Video Detection; Video Generation; AIGC Detection; audio; language; and other modalities
1078	Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling Authors: Beomgu Kang; Hyunseok Seo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Subsampling; Active acquisition; Accelerated MRI; Hyperspectral imaging; Top-k sampling; audio; language; and other modalities
1079	PrismAudio: Decomposed Chain-of-Thought and Multi-dimensional Rewards for Video-to-Audio Generation Authors: Huadai Liu; Kaicheng Luo; Wen Wang; Qian Chen; Peiwen Sun; Rongjie Huang; Xiangang Li; Jieping Ye; Wei Xue Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Chain-of-Thought; Reinforcement Learning; Video-to-Audio Generation; audio; language; and other modalities
1080	Procedural Mistake Detection via Action Effect Modeling Authors: Wenliang Guo; Yujiang Pu; Yu Kong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Mistake detection; Action effect modeling; Video understanding; audio; language; and other modalities
1081	Product of Experts for Visual Generation Authors: Yunzhi Zhang; Carson Murtuza-Lanier; Zizhang Li; Yilun Du; Jiajun Wu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: generative models; image generation; video generation; audio; language; and other modalities
1082	Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy Prediction Authors: Chi Yan; Dan Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Spaltting; 3D Occupancy Prediction; Open-vocabulary; audio; language; and other modalities
1083	Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent Decisions Authors: Kecheng Zhang; Zongxin Yang; Mingfei Han; Haihong Hao; Yunzhi Zhuge; Changlin Li; junhan zhao; Zhihui Li; Xiaojun Chang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Online video understanding; Video Question Answering; Vision-Language Models; Decision; audio; language; and other modalities
1084	Prompt and Parameter Co-Optimization for Large Language Models Authors: Xiaohe Bo; Rui Li; Zexu Sun; Quanyu Dai; Zeyu Zhang; Zihang Tian; Xu Chen; Zhenhua Dong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: prompt-parameter co-optimization; shared-private parameterization; supervised regularization; audio; language; and other modalities
1085	Prompt-Robust Vision-Language Models via Meta-Finetuning Authors: Haohui Liang; Runlin Huang; Yingjun Du; Yujia Hu; Weifeng Su; Cees G. M. Snoek Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision-Language Models; Prompt Learning; Meta-learning; audio; language; and other modalities
1086	PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and Alignment Authors: Tianci Luo; Jinpeng Wang; Shiyu Qin; Niu Lian; Yan Feng; Bin Chen; Chun Yuan; Shu-Tao Xia Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: visual in-context learning; visual prompt; prompt fusion; locality-aware; audio; language; and other modalities
1087	ProstaTD: Bridging Surgical Triplet from Classification to Fully Supervised Detection Authors: Yiliang Chen; Zhixi Li; Cheng Xu; Alex Qinyang Liu; Ruize Cui; Xuemiao Xu; Jeremy Yuen-Chun Teoh; Shengfeng He; Jing Qin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Surgical Triplet; Endoscopy; Detection; Evaluation; audio; language; and other modalities
1088	ProxyAttn: Guided Sparse Attention via Representative Heads Authors: Yixuan Wang; Huang He; Siqi Bao; Hua Wu; Haifeng Wang; Qingfu Zhu; Wanxiang Che Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Efficient LLM; Sparse Attention; audio; language; and other modalities
1089	ProxyThinker: Test-Time Guidance through Small Visual Reasoners Authors: Zilin Xiao; Jaywon Koo; Siru Ouyang; Jefferson Hernandez; Yu Meng; Vicente Ordonez Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: decoding-time algorithms; visual reasoning; audio; language; and other modalities
1090	Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity Authors: Zhengyao Fang; Pengyuan Lyu; Chengquan Zhang; Guangming Lu; Jun Yu; Wenjie Pei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: efficient vlms; visual token compression; audio; language; and other modalities
1091	Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model Compression Authors: Minjun Kim; Jaehyeon Choi; Hyunwoo Yang; Jongjin Kim; Jinho Song; U Kang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Model Compression; Joint Model Compression; Compression Order; Network Pruning; Network Quantization; audio; language; and other modalities
1092	Pulp Motion: Framing-aware multimodal camera and human motion generation Authors: Robin Courant; Xi WANG; David Loiseaux; Marc Christie; Vicky Kalogeiton Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Camera generation; Human motion generation; Generative model; Multimodality; audio; language; and other modalities
1093	QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining Authors: Kyle R. Chickering; Bangzheng Li; Muhao Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MLLMs; mesoscopic bias and interpolation bias; dynamic quadtree; vision encoders; audio; language; and other modalities
1094	QPrompt-R1: Real-Time Reasoning for Domain-Generalized Semantic Segmentation via Group-Relative Query Alignment Authors: Fengyuan Lu; Zixuan Duan; Xunzhi Xiang; Zhicheng Zhang; Wenbin Li; Yang Gao; Qi Fan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Semantic Segmentation; real time; domain generalization; audio; language; and other modalities
1095	QVGen: Pushing the Limit of Quantized Video Generative Models Authors: Yushi Huang; Ruihao Gong; Jing Liu; Yifu Ding; Chengtao Lv; Haotong Qin; Jun Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: quantization-aware training; video diffusion models; audio; language; and other modalities
1096	QVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization Authors: Yuhao Xu; Yantai Yang; Zhenyang Fan; Yufan Liu; Yuming Li; Bing Li; Zhipeng Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision-Language-Action Models; Embodied AI; Model Quantization; audio; language; and other modalities
1097	QeRL: Beyond Efficiency - Quantization-enhanced Reinforcement Learning for LLMs Authors: Wei Huang; Yi Ge; Shuai Yang; Yicheng Xiao; Huizi Mao; Yujun Lin; Hanrong Ye; Sifei Liu; Ka Chun Cheung; Hongxu Yin; Yao Lu; Xiaojuan Qi; Song Han; Yukang Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Quantization; RL; LLMs; audio; language; and other modalities
1098	QuaMo: Quaternion Motions for Vision-based 3D Human Kinematics Capture Authors: Cuong Le; Pavlo Melnyk; Urs Waldmann; Mårten Wadenbäck; Bastian Wandt Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: human; kinematics; quaternion; motion; vision; audio; language; and other modalities
1099	QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models Authors: Jian Liu; Chunshi Wang; Song Guo; Haohan Weng; Zhen Zhou; Zhiqi Li; Jiaao Yu; Yiling Zhu; Jing Xu; Biwen Lei; Zhuo Chen; Chunchao Guo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Autoregressive Quad Mesh Generation; Reinforcement Learning; Topology Optimization; audio; language; and other modalities
1100	Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models Authors: Tianao Zhang; Zhiteng Li; Xianglong Yan; Haotong Qin; Yong Guo; Yulun Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Difussion-LLM; Quantization; audio; language; and other modalities
1101	QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification Authors: Weilun Feng; Chuanguang Yang; Haotong Qin; Mingqiang Wu; Yuqi Li; Xiangqi Li; Zhulin An; Libo Huang; Yulun Zhang; Michele Magno; Yongjun Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Generation; Model Quantization; Attention Sparsification; audio; language; and other modalities
1102	Quantized Visual Geometry Grounded Transformer Authors: Weilun Feng; Haotong Qin; Mingqiang Wu; Chuanguang Yang; Yuqi Li; Xiangqi Li; Zhulin An; Libo Huang; Yulun Zhang; Michele Magno; Yongjun Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Geometry Grounded; Model Quantization; audio; language; and other modalities
1103	Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance Authors: Chenliang Zhou; Fangcheng Zhong; Weihao Xia; Albert Miao; Canberk Baykal; Cengiz Oztireli Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: computer vision; point cloud generation; structure-aware; part-based; symmetry-aware; audio; language; and other modalities
1104	Query-Guided Spatial–Temporal–Frequency Interaction for Music Audio–Visual Question Answering Authors: Kun Li; Michael Ying Yang; Sami Sebastian Brandt Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Audio–visual question answering; Multimodal; Music scene understanding; audio; language; and other modalities
1105	Query-Level Uncertainty in Large Language Models Authors: Lihu Chen; Gerard de Melo; Fabian M. Suchanek; Gaël Varoquaux Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Frugal AI; Uncertainty Quantification; audio; language; and other modalities
1106	QueryStream: Advancing Streaming Video Understanding with Query-Aware Pruning and Proactive Response Authors: Kairui Zhang; Zhenyu Yang; Bing Wang; Shengsheng Qian; Changsheng Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Online Video Understanding; Streaming Video Understanding; audio; language; and other modalities
1107	R-WoM: Retrieval-augmented World Model For Computer-use Agents Authors: Kai Mei; Jiang Guo; Shuaichen Chang; Mingwen Dong; Dongkyu Lee; Xing Niu; Jiarong Jiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Model; Computer-use Agent; World Model; audio; language; and other modalities
1108	R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning Authors: YiFan Zhang; Xingyu Lu; Xiao Hu; Chaoyou Fu; Bin Wen; Tianke Zhang; Changyi Liu; Kaiyu Jiang; Kaibing Chen; Kaiyu Tang; Haojie Ding; Jiankang Chen; Fan Yang; Zhang Zhang; Tingting… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Multimodal Reward Model; Stable Reinforcement Learning; Long-CoT Reasoning; audio; language; and other modalities
1109	RATE-DISTORTION OPTIMIZED PRAGMATIC COMMUNICATION FOR COLLABORATIVE PERCEPTION Authors: Genjia Liu; Anning Hu; Yue Hu; Wenjun Zhang; Siheng Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Pragmatic communication; collaborative perception; rate-distortion analysis; audio; language; and other modalities
1110	REMem: Reasoning with Episodic Memory in Language Agent Authors: Yiheng Shu; Saisri Padmaja Jonnalagedda; Xiang Gao; Bernal Jiménez Gutiérrez; Weijian Qi; Kamalika Das; Huan Sun; Yu Su Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: language agent; episodic memory; long-term memory; audio; language; and other modalities
1111	RF-DETR: Neural Architecture Search for Real-Time Detection Transformers Authors: Isaac Robinson; Peter Robicheaux; Matvei Popov; Deva Ramanan; Neehar Peri Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Real-Time Object Detection; Neural Architecture Search; Transfer Learning; audio; language; and other modalities
1112	ROGA: Scaling Generalist Agents for Office Productivity Tasks via Tool Generation Authors: Mugeng Liu; Xiaojun Ma; Yuhang Xie; Qin Chen; Xuanzhe Liu; Yun Ma Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Generalist agent; Office productivity; Tool generation; audio; language; and other modalities
1113	RPM: Reasoning-Level Personalization for Black-Box Large Language Models Authors: Jieyong Kim; Tongyoung Kim; SooJin Yoon; Jaehyung Kim; Dongha Lee Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Personalization; Large Language Model; Reasoning-Level Personalization; LLM; LLM Personalization; Black-Box LLM; audio; language; and other modalities
1114	Random Anchors with Low-rank Decorrelated Learning: A Minimalist Pipeline for Class-Incremental Medical Image Classification Authors: Xinyao Wu; Zhe Xu; Raymond Kai-yu Tong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Medical Image Classification; Feature Calibration; Continual Learning; audio; language; and other modalities
1115	RayI2P: Learning Rays for Image-to-Point Cloud Registration Authors: Xinjun Li; Wenfei Yang; Zhixin Cheng; Jiacheng Deng; Fei Wang; Chen Qian; Tianzhu Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image-to-Point Cloud Registration; audio; language; and other modalities
1116	ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving Authors: Yongkang Li; Kaixin Xiong; Xiangyu Guo; Fang Li; Sixu Yan; Gangwei Xu; Lijun Zhou; Long Chen; Haiyang Sun; BING WANG; Kun Ma; Guang Chen; Hangjun Ye; Wenyu Liu; Xinggang Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Autonomous Driving; Vision-Language Models; Reinforcement Learning; audio; language; and other modalities
1117	ReFocusEraser: Refocusing for Small Object Removal with Robust Context-Shadow Repair Authors: Qingping Zheng; Bo Huang; Yang Liu; Haoyu Zhao; Ling Zheng; Zengmao Wang; Ying Li; Jiankang Deng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion-based Object Removal， Image Inpainting; audio; language; and other modalities
1118	ReIn: Conversational Error Recovery with Reasoning Inception Authors: Takyoung Kim; Jinseok Nam; Chandrayee Basu; Xing Fan; Chengyuan Ma; Heng Ji; Gokhan Tur; Dilek Hakkani-Tür Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Conversational AI; Agent Reasoning; Task-oriented Dialogue; audio; language; and other modalities
1119	ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled Illumination Authors: Jan-Niklas Dihlmann; Mark Boss; Simon Donné; Andreas Engelhardt; Hendrik Lensch; Varun Jampani Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Material; Reconstruction; Large Reconstruction Model; Multi-View; Illumination; audio; language; and other modalities
1120	ReSplat: Degradation-agnostic Feed-forward Gaussian Splatting via Self-guided Residual Diffusion Authors: Youngho Yoon; Kuk-Jin Yoon Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Gaussian Splatting; Diffusion Models; Image Restoration; audio; language; and other modalities
1121	ReWatch-R1: Boosting Complex Video Reasoning in Large Vision-Language Models through Agentic Data Synthesis Authors: Congzhi Zhang; Zhibin Wang; Yinchao Ma; Jiawei Peng; Yihan Wang; Qiang Zhou; Jun Song; Bo Zheng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Reasoning; Large Vision-Language Models (LVLMs); Agentic Data Synthesis; Multi-Agent ReAct; Reinforcement Learning with Verifiable Reward (RLVR); Chain-o…
1122	Real-Time Motion-Controllable Autoregressive Video Diffusion Authors: Kesen Zhao; Jiaxin Shi; Beier Zhu; Junbao Zhou; Xiaolong Shen; Yuan Zhou; Qianru Sun; Hanwang Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Autoregressive Diffusion; Controllable Video Generation; Reinforcement Learning; audio; language; and other modalities
1123	Realtime Video Frame Interpolation using One-Step Diffusion Sampling Authors: Yongrui Ma; Shijie Zhao; Mingde Yao; Junlin Li; Li zhang; Xiaohong Liu; Qi Dou; Jinwei Gu; Tianfan Xue Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Frame Interpolation; Diffusion Models; Realtime Processing; audio; language; and other modalities
1124	ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory Authors: Siru Ouyang; Jun Yan; I-Hung Hsu; Yanfei Chen; Ke Jiang; Zifeng Wang; Rujun Han; Long Le; Samira Daruki; Xiangru Tang; Vishy Tirumalashetty; George Lee; Mahsan Rofouei; Hangfei Li… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LLM Agents; Memory Mechanism; Reasoning; Test-Time Scaling; audio; language; and other modalities
1125	ReconViaGen: Towards Accurate Multi-view 3D Object Reconstruction via Generation Authors: Jiahao Chang; Chongjie Ye; Yushuang Wu; Yuantao Chen; Yidan Zhang; Zhongjin Luo; Chenghong Li; Yihao Zhi; Xiaoguang Han Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Generation; 3D Reconstruction; audio; language; and other modalities
1126	Reconciling Visual Perception and Generation in Diffusion Models Authors: Liulei Li; Yi Yang; Wenguan Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Visual Perception; Image Classification; Object Detection; Semantic Segmentation; audio; language; and other modalities
1127	Reconstructing KV Caches with Cross-Layer Fusion for Enhanced Transformers Authors: Hongzhan Lin; ZhiqiBai; Xinmiao Zhang; Siran Yang; Jiamang Wang; Yunlong Xu; Jiaheng Liu; Yongchi Zhao; Xiang Li; Yuchi Xu; Wenbo Su; Bo Zheng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: KV Cache; Pretraining; LLM; audio; language; and other modalities
1128	Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks Authors: Qihua Dong; Kuo Yang; Lin Ju; Handong Zhao; Yitian Zhang; Yizhou Wang; Huimin Zeng; Jianglin Lu; Yun Fu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MLLM; Referring Expression Comprehensions; audio; language; and other modalities
1129	Repurposing Synthetic Data for Fine-grained Search Agent Supervision Authors: Yida Zhao; Kuan Li; Xixi Wu; Liwen Zhang; Ding-Chu Zhang; Baixuan Li; Maojia Song; Zhuo Chen; Chenxi Wang; Xinyu Wang; Kewei Tu; Pengjun Xie; Fei Huang; Jingren Zhou; Yong Jiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Search Agent; Web Agent; audio; language; and other modalities
1130	Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis Authors: Pengfei ZHANG; Tianxin Xie; Minghao Yang; Li Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Respiratory sounds; Multimodal learning; Medical agents; Controllable audio synthesis; Active curriculum learning; audio; language; and other modalities
1131	RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration Authors: Sudarshan Rajagopalan; Kartik Narayan; Vishal M. Patel Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image restoration; generative models; low-level vision; audio; language; and other modalities
1132	Rethinking Causal Mask Attention for Vision-Language Inference Authors: Xiaohuan Pei; Tao Huang; Yanxiang Ma; Chang Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision-Language Inference; Casual Mask Attention; audio; language; and other modalities
1133	Rethinking Expressivity and Degradation-Awareness in Attention for All-in-One Blind Image Restoration Authors: Bin Ren; Runyi Yang; Qi Ma; Xu Zheng; Mengyuan Liu; Danda Pani Paudel; Luc Van Gool; Rita Cucchiara; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Transformer; Image Restoration; Representation Learning; audio; language; and other modalities
1134	Rethinking Radiology Report Generation: From Narrative Flow to Topic-Guided Findings Authors: Sheng Cheng; Devika Subramanian Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Radiology report generation; large-language models; chest X-rays; multi-modal alignment; audio; language; and other modalities
1135	Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls Short Authors: Xuan Lu; Haohang Huang; Rui Meng; Yaohui Jin; Wenjun Zeng; Xiaoyu Shen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: information retrieval; reranking; reasoning; audio; language; and other modalities
1136	Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency Constraint Authors: Runmin Zhang; Jialiang Wang; Si-Yuan Cao; Zhu Yu; Junchen Yu; Guangyi Zhang; Hui-liang Shen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Cross-modal flow estimation; Unsupervised learning; Multimodal and multi-spectral images; audio; language; and other modalities
1137	Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval Authors: Junwei Lan; Jianlyu Chen; Zheng Liu; Chaofan Li; Siqi Bao; Defu Lian Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Information Retrieval; LLM Reasoning; Reinforcement Learning; audio; language; and other modalities
1138	Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts Authors: Minh Le; Anh Nguyen; Huy Nguyen; Chau Nguyen; Anh Tuan Tran; Nhat Ho Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: mixture of experts; visual prompt tuning; theory; parameter-efficient fine-tuning; pre-trained model; audio; language; and other modalities
1139	RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning Authors: Sicheng Feng; Kaiwen Tuo; Song Wang; Lingdong Kong; Jianke Zhu; Huan Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MLLMs; Fine-grained Visual Reasoning; Visual Understanding; Reinforcement Learning; audio; language; and other modalities
1140	Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning Authors: Qing Jiang; Xingyu Chen; Zhaoyang Zeng; Junzhi Yu; Lei Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Object Referring; Reasoning; audio; language; and other modalities
1141	RoRE: Rotary Ray Embedding for Generalised Multi-Modal Scene Understanding Authors: Ryan Griffiths; Donald G. Dansereau Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: transformers; attention; geometric vision; multi-modal vision; novel view synthesis; thermal; fisheye; audio; language; and other modalities
1142	S2GO: Streaming Sparse Gaussian Occupancy Authors: Jinhyung Park; Chensheng Peng; yihan hu; Wenzhao Zheng; Kris Kitani; Wei Zhan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; 3D Occupancy Estimation; Autonomous Driving; audio; language; and other modalities
1143	S3OD: Towards Generalizable Salient Object Detection with Synthetic Data Authors: Orest Kupyn; Hirokatsu Kataoka; Christian Rupprecht Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: salient object detection; sod; segmentation; diffusion models; image generation; synthetic data; audio; language; and other modalities
1144	SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition Authors: Shunpeng Chen; Changwei Wang; Rongtao Xu; Peixingtian; yukun Song; Jinzhou Lin; Wenhao Xu; jingyizhang; Li Guo; Shibiao Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Visual Place Recognition; Foundation Model; Parameter-Efficient Fine-Tuning; Autonomous Driving; audio; language; and other modalities
1145	SAM-Veteran: An MLLM-Based Human-like SAM Agent for Reasoning Segmentation Authors: Tianyuan Du; Haopeng Li; Zhen Fan; Jiarui Zhang; Panwang Pan; Yang Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: reasoning segmentation; multi-modal large language model; reinforcement learning; audio; language; and other modalities
1146	SCoT: Teaching 3D-LLMs to Think Spatially with Million-scale CoT Annotations Authors: Jinpeng Li; Haiping Wang; Jiabin chen; Yuan Liu; Zhen Dong; Bisheng Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Large Language Model; Chain-of-Thought; Spatial Perception; Spatial Analysis; Spatial Planning; audio; language; and other modalities
1147	SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense Authors: Yiyang Huang; Liang Shi; Yitian Zhang; Yi Xu; Yun Fu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: VLM; Hallucination; Training Free; audio; language; and other modalities
1148	SMAGA: Secondary Motion-Aware 3D Clothed Gaussian Avatars from Monocular Videos Authors: Seungeun Lee; SeungJun Moon; Hah Min Lew; Ji-Su Kang; Gyeong-Moon Park Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Computer Vision; Neural Rendering; 3D Avatar Modeling; audio; language; and other modalities
1149	SONIC: Spectral Oriented Neural Invariant Convolutions Authors: Gijs Joppe Moens; Regina Beets-Tan; Eduardo H P Pooch Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Spectral Neural Networks; Spectral Parameterization; Resolution Invariance; State-Space Models; Spectral Factorization; Convolution Alternatives; Oriented Filt…
1150	SPIKE-RL: Video-LLMs meet Bayesian Surprise Authors: Sahithya Ravi; Aditya Chinchure; Raymond T. Ng; Leonid Sigal; Vered Shwartz Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video LLMs; Video reasoning; Bayesian Surprise; Belief tracking; GRPO; Frame Sampling; Video Captioning; audio; language; and other modalities
1151	SPR$^2$Q: Static Priority-based Rectifier Routing Quantization for Image Super-Resolution Authors: Jingwei Xin; Wenhao Li; Nannan Wang; Jie Li; Xinbo Gao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image Super-Resolution; model quantization; adapter routing; audio; language; and other modalities
1152	SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection Authors: Wei Zhang; Xiang Liu; Ningjing Liu; Mingxin Liu; Wei Liao; Chunyan Xu; Xue Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Oriented Object Detection; audio; language; and other modalities
1153	SSD-GS: Scattering and Shadow Decomposition for Relightable 3D Gaussian Splatting Authors: Iris Zheng; Guojun Tang; Alexander Doronin; Paul D. Teal; Fang-Lue Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian splatting; Relighting; Novel View Synthesis; Light Decomposition; Subsurface Scattering; Physically-Based Rendering; audio; language; and other mod…
1154	ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Video Understanding with MLLMs Authors: Bingjun Luo; Tony Wang; Chaoqi Chen; Xinpeng Ding Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Understanding; Visual Token Reduction; Multimodal Large Language Models; audio; language; and other modalities
1155	STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models Authors: Cheng-Han Chiang; Xiaofei Wang; Linjie Li; Chung-Ching Lin; Kevin Lin; Shujie LIU; Zhendong Wang; Zhengyuan Yang; Hung-yi Lee; Lijuan Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: spoken language model; reasoning; chain-of-thought; audio; language; and other modalities
1156	STVG-R1: Incentivizing Instance-Level Reasoning and Grounding in Videos via Reinforcement Learning Authors: Xiaowen Zhang; Zhi Gao; Licheng Jiao; Lingling Li; Qing Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: spatial-temporal video grounding; vision language model; reinforcement learning; audio; language; and other modalities
1157	STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer Authors: Yushi LAN; Yihang Luo; Fangzhou Hong; Shangchen Zhou; Honghua Chen; Zhaoyang Lyu; Bo Dai; Shuai Yang; Chen Change Loy; Xingang Pan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Monocular and Video 3D reconstruction; audio; language; and other modalities
1158	Salient Object Ranking via Cyclical Perception-Viewing Interaction Modeling Authors: Rongjin Guo; Ke Xu; Rynson W. H. Lau Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Saliency Ranking; Human Attention Shift Modeling; audio; language; and other modalities
1159	SatDreamer360: Multiview-Consistent Generation of Ground-Level Scenes from Satellite Imagery Authors: Xianghui Ze; Beiyi Zhu; Zhenbo Song; Jianfeng Lu; Yujiao Shi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Satellite-to-Ground View Synthesis; Cross-View Image Translation; Diffusion-based Scene Generation; audio; language; and other modalities
1160	Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion Authors: Yexing Du; Youcheng Pan; Zekun Wang; Zheng Chu; Yichong Huang; Kaiyuan Liu; Bo Yang; Yang Xiang; Ming Liu; Bing Qin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Speech; Multimodal Machine Translation; audio; language; and other modalities
1161	Scaling Knowledge Graph Construction through Synthetic Data Generation and Distillation Authors: Prafulla Kumar Choubey; Xin Su; Man Luo; XIANGYU PENG; Caiming Xiong; Tiep Le; Shachar Rosenman; Vasudev Lal; Phil L Mui; Ricky Ho; Phillip Howard; Chien-Sheng Wu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Knowledge Graph; RAG; Synthetic Data Generation; Knowledge Distillation; audio; language; and other modalities
1162	Scaling Speech Tokenizers with Diffusion Autoencoders Authors: Yuancheng Wang; Zhenyu Tang; Yun Wang; Arthur Hinsvark; Yingru Liu; Yinghao Aaron Li; Kainan Peng; Junyi Ao; Mingbo Ma; Mike Seltzer; Qing He; Xubo Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Speech Tokenizer; Diffusion Autoencoder; Codec; ASR; Speech Language Model; audio; language; and other modalities
1163	SceneCOT: Eliciting Grounded Chain-of-Thought Reasoning in 3D Scenes Authors: Xiongkun Linghu; Jiangyong Huang; Ziyu Zhu; Baoxiong Jia; Siyuan Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D scene reasoning; chain-of-thought reasoning; multimodal LLM; audio; language; and other modalities
1164	SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene Generation Authors: Ling Wang; Hao-Xiang Guo; Xinzhou Wang; Fuchun Sun; Kai Sun; Pengkun Liu; Hang Xiao; Zhong Wang; Guangyuan Fu; Eric Li; Yang Liu; Yikai Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Scene Generation; Part-aware 3D Generation; audio; language; and other modalities
1165	Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation Authors: Lu Ling; Chen-Hsuan Lin; Tsung-Yi Lin; Yifan Ding; Yu Zeng; Yichen Sheng; Yunhao Ge; Ming-Yu Liu; Aniket Bera; Max Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D scene generation; Text-to-3D scene; Agentic framwork; Visual guidance; Physical plausibility; audio; language; and other modalities
1166	SciNav: A General Agent Framework for Scientific Coding Tasks Authors: TIANSHU ZHANG; Huan Sun Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: science agents; test-time scaling; audio; language; and other modalities
1167	ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows Authors: Qiushi Sun; Zhoumianze Liu; Chang Ma; Zichen Ding; Fangzhi Xu; Zhangyue Yin; Haiteng Zhao; Zhenyu Wu; Kanzhi Cheng; Zhaoyang Liu; Jianing Wang; Qintong Li; Xiangru Tang; Tianbao X… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computer-using agents; AI4Research; Multimodal LLM; audio; language; and other modalities
1168	SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training Authors: Jianyi Wang; Shanchuan Lin; Zhijie Lin; Yuxi Ren; Meng Wei; Zongsheng Yue; Shangchen Zhou; Hao Chen; Yang Zhao; Ceyuan Yang; Xuefeng Xiao; Chen Change Loy; Lu Jiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: One-step; Video Restoration; Adversarial Training; audio; language; and other modalities
1169	Seeing Through Words: Controlling Visual Retrieval Quality with Language Models Authors: Jianglin Lu; Simon Jenni; Kushal Kafle; Jing Shi; Handong Zhao; Yun Fu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Vision-Language Models; Query Completion; Retrieval; audio; language; and other modalities
1170	Seeing What’s Not There: Negation Understanding Needs More Than Training Authors: Bhuvan Aggarwal; Amit More; Mudit Soni; S Divakar Bhat Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Negation; Zeroshot; VisionlanguageModels; MachineLearning; ComputerVision; DeepLearning; audio; language; and other modalities
1171	Seeing What’s Wrong: A Trajectory-Guided Approach to Caption Error Detection Authors: Gabriel Afriat; Ryan Lucas; Xiang Meng; Yufang Hou; Yada Zhu; Rahul Mazumder Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image-Caption Alignment; Error Detection; Caption Trajectory; audio; language; and other modalities
1172	Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory Authors: Lin Long; Yichen He; Wentao Ye; Yiyuan Pan; Yuan Lin; Hang Li; Junbo Zhao; Wei Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multimodal agent; long-term memory; audio; language; and other modalities
1173	Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via DeepSeek Authors: Xueyang Li; Jiahao Li; Yu Song; Yunzhong Lou; Xiangdong Zhou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: CAD generative modeling; parametric CAD sequence; audio; language; and other modalities
1174	Segment Any Events with Language Authors: Seungjun Lee; Gim Hee Lee Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: event sensor; event-based scene understanding; open-vocabulary; audio; language; and other modalities
1175	Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs Authors: Zishang Jiang; Jinyi Han; tingyun li; Xinyi Wang; Sihang Jiang; Zhaoqian Dai; Ma Shuguang; Fei Yu; Jiaqing Liang; Yanghua Xiao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Group Relative Policy Optimization; audio; language; and other modalities
1176	Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking Authors: Wen Wen; tianwu zhi; Kanglong FAN; Yang Li; Xinge Peng; Yabin ZHANG; Yiting Liao; Junlin Li; Li zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Self-evolving; image quality assessment; vision-language model; audio; language; and other modalities
1177	Self-Guided Low Light Object Detection Framework Authors: Gwangik Shin; Jaeha Song; Soonmin Hwang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Low light object detection; Self-guided training; No additional inference cost; audio; language; and other modalities
1178	SemHiTok: A Unified Image Tokenizer via Semantic-Guided Hierarchical Codebook for Multimodal Understanding and Generation Authors: Zisheng Chen; Chunwei Wang; Runhui Huang; Hongbin Xu; Xiuwei Chen; Jun Zhou; Jianhua Han; Hang Xu; Xiaodan Liang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: unified image tokenizer; multimodal learning; audio; language; and other modalities
1179	SesaHand: Enhancing 3D Hand Reconstruction via Controllable Generation with Semantic and Structural Alignment Authors: Zhuoran Zhao; Xianghao Kong; Linlin Yang; Zheng WEI; Pan Hui; Anyi Rao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Controllable Hand Image Generation; 3D Hand Reconstruction; audio; language; and other modalities
1180	Sharp Monocular View Synthesis in Less Than a Second Authors: Lars Mescheder; Wei Dong; Shiwei Li; Xuyang BAI; Marcel Santos; Peiyun Hu; Bruno Lecouat; Mingmin Zhen; Amaël Delaunoy; Tian Fang; Yanghai Tsin; Stephan Richter; Vladlen Koltun Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: photorealism; view synthesis; neural rendering; audio; language; and other modalities
1181	Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning Authors: Yimeng Zhang; Tian Wang; Jiri Gesi; Ziyi Wang; Yuxuan Lu; Jiacheng Lin; Simon Sinong Zhan; Vianne R. Gao; Ruochen Jiao; Junze Liu; Kun Qian; Yuxin Tang; Ran Xue; Houyu Zhang; qing… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LLM; RL; Human Behavior Simulation; Online Shopping; Reward Hacking Prevention; audio; language; and other modalities
1182	Should We Still Pretrain Encoders with Masked Language Modeling? Authors: Hippolyte Gisserot-Boukhlef; Nicolas Boizard; Manuel Faysse; Duarte Miguel Alves; Emmanuel Malherbe; Andre Martins; CELINE HUDELOT; Pierre Colombo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Encoder Pretraining; Masked Language Modeling; Causal Language Modeling; Text Representations; Representation Learning; audio; language; and other modalities
1183	Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle Authors: Linghao Zhu; Yiran Guan; Dingkang Liang; Jianzhong Ju; Zhenbo Luo; Bin Qin; Jian Luan; Yuliang Liu; Xiang Bai Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multimodal large language model; reinforcement learning; audio; language; and other modalities
1184	SiMO: Single-Modality-Operable Multimodal Collaborative Perception Authors: Jiageng Wen; Shengjie Zhao; Bing Li; Jiafeng Huang; Kenan Ye; Hao Deng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: collaborative perception; multimodal; modal failure; modality competition; audio; language; and other modalities
1185	Signal Structure-Aware Gaussian Splatting for Large-Scale Scene Reconstruction Authors: Weiyi Xue; Fan Lu; Chi Zhang; Tianhang Wang; Sanqing Qu; Zehan Zheng; Boyuan Zheng; Junqiao Zhao; Guang Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; large-scale scene reconstruction; signal structure recovery; audio; language; and other modalities
1186	SimULi: Real-Time LiDAR and Camera Simulation with Unscented Transforms Authors: Haithem Turki; Qi Wu; Xin Kang; Janick Martinez Esturo; Shengyu Huang; Ruilong Li; Zan Gojcic; Riccardo de Lutio Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: neural rendering; 3d gaussians; 3d vision; audio; language; and other modalities
1187	SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models Authors: Ruiyang Zhang; Dongzhan Zhou; Zhedong Zheng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Efficient Reasoning; Large Multimodal Models; audio; language; and other modalities
1188	Small Drafts, Big Verdict: Information-Intensive Visual Reasoning via Speculation Authors: Yuhan Liu; Lianhui Qin; Shenji Wan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multimodal reasoning; visual question answering; vision-language model; information-intensive images; speculative decoding; audio; language; and other modaliti…
1189	SmartDJ: Declarative Audio Editing with Audio Language Model Authors: Zitong Lan; Yiduo Hao; Mingmin Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Audio editing; Latent diffusion model; Audio language model; audio; language; and other modalities
1190	SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization Authors: Huashan Sun; Shengyi Liao; Yansen Han; Yu Bai; Yang Gao; Cheng Fu; Weizhou Shen; Fanqi Wan; Ming Yan; Ji Zhang; Fei Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Long Context Alignment; Large Language Models; Preference Optimization; audio; language; and other modalities
1191	SongEcho: Towards Cover Song Generation via Instance-Adaptive Element-wise Linear Modulation Authors: Sifei Li; Yang Li; Zizhou Wang; Yuxin Zhang; Fuzhang Wu; Oliver Deussen; Tong-Yee Lee; Weiming Dong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: conditioning method; controllable song generation; audio; language; and other modalities
1192	SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward Authors: Kaixuan Fan; Kaituo Feng; Haoming Lyu; Dongzhan Zhou; Xiangyu Yue Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Reinforcement Learning; Reasoning; audio; language; and other modalities
1193	SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling Authors: Elisabetta Fedele; Francis Engelmann; Ian Huang; Or Litany; Marc Pollefeys; Leonidas Guibas Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Vision; 3D Generative Models; Geometric Primitives; audio; language; and other modalities
1194	Sparkle: A Robust and Versatile Representation for Point Cloud-based Human Motion Capture Authors: Yiming Ren; Yujing Sun; Aoru Xue; Kwok-Yan Lam; Yuexin Ma Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Motion Capture; audio; language; and other modalities
1195	SpatialHand: Generative Object Manipulation from 3D Prespective Authors: Zehan Wang; Jialei Wang; Siyu Chen; Ziang Zhang; Luping Liu; Xize Cheng; Kaihang Pan; Hengshuang Zhao; Zhou Zhao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: AIGC Application; Image Editing; audio; language; and other modalities
1196	Speech World Model: Causal State–Action Planning with Explicit Reasoning for Speech Authors: Xuanru Zhou; Jiachen Lian; Henry Hong; Xinyi Yang; Gopala Anumanchipalli Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: speech; spoken language understanding; state-action; causal reasoning; audio; language; and other modalities
1197	SpeechOp: Inference-Time Task Composition for Generative Speech Processing Authors: Justin Lovelace; Rithesh Kumar; Jiaqi Su; Ke Chen; Kilian Q Weinberger; Zeyu Jin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: speech generation; TTS; enhancement; diffusion; latent diffusion; audio; language; and other modalities
1198	SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams Authors: Zhuoheng Gao; Yihao Li; Jiyao Zhang; Rui Zhao; Tong Wu; Hao Tang; Zhaofei Yu; Hao Dong; Guozhang Chen; Tiejun Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Stereo depth estimation; Neuromorphic camera; Recurrent spiking neural network; Computer vision; audio; language; and other modalities
1199	Splat Feature Solver Authors: Butian Xiong; Rong Liu; Kenneth Xu; Meida Chen; Andrew Feng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Spalts; Feature Lifting; Solver; Optimization; audio; language; and other modalities
1200	Splat the Net: Radiance Fields with Splattable Neural Primitives Authors: xilong zhou; Bao-Huy Nguyen; Loïc Magne; Vladislav Golyanik; Thomas Leimkuehler; Christian Theobalt Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: neural rendering; radiance field representation; 3DGS; NeRF; audio; language; and other modalities
1201	Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness Authors: Subeen Park; JOOWANG KIM; Hakyung Lee; Sunjae yoo; Kyungwoo Song Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Spurious Correlation; Representation Learning; Embedding Regularization; Domain Generalization; audio; language; and other modalities
1202	StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs Authors: Yuhan Song; Linhao Zhang; Chuhan Wu; Aiwei Liu; Wei Jia; Houfeng Wang; Zhou Xiao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: speech tokenizer; noise robustness; audio; multi-modality; speech language modeling; audio; language; and other modalities
1203	Stacked from One: Multi-Scale Self-Injection for Context Window Extension Authors: Wei Han; Pan Zhou; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: long-context modeling; continual pretraining; extrapolation; audio; language; and other modalities
1204	Steering Autoregressive Music Generation with Recursive Feature Machines Authors: Daniel Zhao; Daniel Beaglehole; Julian McAuley; Taylor Berg-Kirkpatrick; Zachary Novack Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: music generation; probing; interpretability; music ai; multimodal LLMs; steering; inference; audio; language; and other modalities
1205	Steering and Rectifying Latent Representation Manifolds in Frozen Multi-modal LLMs for Video Anomaly Detection Authors: Zhaolin Cai; Fan Li; Huiyu Duan; Lijun He; Guangtao Zhai Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Anomaly Detection; Multi-modal LLM; audio; language; and other modalities
1206	Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters Authors: Danqing Wang; Zhuorui Ye; Xinran Zhao; Fei Fang; Lei Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Model; Competitive Debate; audio; language; and other modalities
1207	StreamSplat: Towards Online Dynamic 3D Reconstruction from Uncalibrated Video Streams Authors: Zike Wu; Qi Yan; Xuanyu Yi; Lele Wang; Renjie Liao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Monocular Video Reconstruction; audio; language; and other modalities
1208	Streaming Visual Geometry Transformer Authors: Dong Zhuo; Wenzhao Zheng; Jiahe Guo; Yuqi Wu; Jie Zhou; Jiwen Lu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D reconstruction; geometry transformer; audio; language; and other modalities
1209	StreamingVLM: Real-Time Understanding for Infinite Video Streams Authors: Ruyi Xu; Guangxuan Xiao; Yukang Chen; Liuning He; Kelly Peng; Yao Lu; Song Han Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Machine learning; Vision Language Model; ML System; audio; language; and other modalities
1210	Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splatting Authors: Hanzhou Liu; Jia Huang; Mi Lu; Srikanth Saripalli; Peng Jiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Style Transfer; 3D Gaussian Splatting; Single-forward Stylization; 3D Reconstruction; audio; language; and other modalities
1211	SuperF: Neural Implicit Fields for Multi-Image Super-Resolution Authors: Sander Riisøen Jyhne; Christian Igel; Morten Goodwin; Per-Arne Andersen; Serge Belongie; Nico Lang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: implicit neural representation; neural fields; super-resolution; test-time optimization; learning-free; multi-image super-resolution; audio; language; and othe…
1212	Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking Authors: Xin Zhang; Ziqi Dai; Mingxin Li; Yanzhao Zhang; Dingkun Long; Pengjun Xie; Meishan Zhang; Wenjie Li; Min Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Retrieval; LLM Reranking; audio; language; and other modalities
1213	SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors Authors: Bing He; Jingnan Gao; Yunuo Chen; Ning Cao; Gang Chen; Zhengxue Cheng; Li Song; Wenjun Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian splatting; 2DGS; feed forward reconstruction; audio; language; and other modalities
1214	SyncTrack: Rhythmic Stability and Synchronization in Multi-Track Music Generation Authors: Hongrui Wang; Fan Zhang; Zhiyuan Yu; Ziya Zhou; Xi Chen; Can Yang; Yang Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Music Generation; Rhythmic Stability and Synchronization; Multi-Track Music Generation; Audio Generation; audio; language; and other modalities
1215	Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking Authors: Shengqiong Wu; Bobo Li; Xinkai Wang; Xiangtai Li; Lei Cui; Furu Wei; Shuicheng YAN; Hao Fei; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: unified understanding and generation; multimodal reasoning; multimodal generation; audio; language; and other modalities
1216	Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs Authors: Xiaoke Huang; Ningsen Wang; Hui Liu; Xianfeng Tang; Yuyin Zhou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Medical VQA; Large Multimodal Models; Data Synthesis; Medical Literature; Vision-Language; Open-Weight Models; audio; language; and other modalities
1217	TAMMs: Change Understanding and Forecasting in Satellite Image Time Series with Temporal-Aware Multimodal Models Authors: Zhongbin Guo; Yuhao Wang; Ping Jian; Chengzhi Li; Xinyue Chen; Zhen Yang; Ertai E Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Remote Sensing; Satellite Image Time Series; Temporal Reasoning; Generative models; Change-aware Generation; Multimodal Large Language Models; audio; language;…
1218	TAPTRv3: Spatial and Temporal Context Foster Robust Tracking of Any Point in Long Video Authors: Jinyuan Qu; Hongyang Li; Shilong Liu; Tianhe Ren; Zhaoyang Zeng; Lei Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Tracking Any Point; audio; language; and other modalities
1219	TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling Authors: Liang-Hsuan Tseng; Yi-Chang Chen; Kuan Yi Lee; Da-shan Shiu; Hung-yi Lee Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: spoken language modeling; speech tokenization; audio; language; and other modalities
1220	TD-MoE: Tensor Decomposition for MoE Models Authors: Yuebin XU; YANHONG WANG; Xuemei Peng; Hui Zang; Chen Minghao; Pengfei Xia; Zeyi Wen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Mixture-of-Experts; Model Compression; Tucker Decomposition; audio; language; and other modalities
1221	TOUCH: Text-guided Controllable Generation of Free-Form Hand-Object Interactions Authors: Guangyi Han; Wei Zhai; Yuhang Yang; Yang Cao; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: hand-object interaction; 3D generation; audio; language; and other modalities
1222	TSLM: Tree-Structured Language Modeling for Divergent Thinking Authors: Doyoung Kim; JaeHyeok Doo; Minjoon Seo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: language models; reasoning; planning; Supervised Learning; Inference-time scaling; audio; language; and other modalities
1223	TTT3R: 3D Reconstruction as Test-Time Training Authors: Xingyu Chen; Yue Chen; Yuliang Xiu; Andreas Geiger; Anpei Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Reconstruction; Structure from Motion; Recurrent Neural Networks; audio; language; and other modalities
1224	TVTSyn: Content-Synchronous Time-Varying Timbre for Streaming Voice Conversion and Anonymization Authors: Waris Quamer; Mu-Ruei Tseng; Ghady Nasrallah; Ricardo Gutierrez-Osuna Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Time-varying timbre; Streaming voice conversion; Content-synchronous speaker conditioning; Speech anonymization; Vector-quantized bottleneck; audio; language;…
1225	TableMaster: A Recipe to Advance Table Understanding with Language Models Authors: Lang Cao; Hanbing Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Table Understanding; Table Reasoning; Large Language Model; Natural Language Processing; audio; language; and other modalities
1226	Talking Points: Describing and Localizing Pixels Authors: Matan Rusanovsky; Shimon Malnick; Shai Avidan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Keypoint Description; Keypoint Localization; Pixel-Level Grounding; Reinforcement Learning; Vision-Language Model; audio; language; and other modalities
1227	Taming Hierarchical Image Coding Optimization: A Spectral Regularization Perspective Authors: Wuyang Cong; Junqi Shi; Ming Lu; Xu Zhang; Zhan Ma Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Learned Image Compression; Hierarchical Variational Autoencoders; Spectral Regularization; audio; language; and other modalities
1228	TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization Authors: Chia-Yu Hung; Navonil Majumder; Zhifeng Kong; Ambuj Mehrish; Amir Zadeh; Chuan Li; Rafael Valle; Bryan Catanzaro; Soujanya Poria Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: text to audio; flow matching; preference optimization; audio; language; and other modalities
1229	Task-Related Token Compression in Multimodal Large Language Models from an Explainability Perspective Authors: Lei Lei; Jie Gu; Xiaokang Ma; Chu Tang; Jingmin Chen; Tong Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multimodal large language model; token compression; audio; language; and other modalities
1230	TaskCraft: Automated Generation of Agentic Tasks Authors: Dingfeng Shi; Jingyi Cao; Qianben Chen; Weichen Sun; Weizhen Li; Hongxuan Lu; Fangchen Dong; Tianrui Qin; King Zhu; Minghao Liu; Yuchen Eleanor Jiang; Jian Yang; Ge Zhang; Jiaheng… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: agent; generation; LLM; agentic task; audio; language; and other modalities
1231	Teach2Eval: An Interaction-Driven LLMs Evaluation Method via Teaching Effectiveness Authors: Yuhang Zhou; Xutian Chen; Yixin Cao; Yuchen Ni; Yu He; Siyu Tian; Xiang Liu; Yunwen Chen; Guangnan Ye; Xipeng Qiu; Hongfeng Chai Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: New Evaluation Method; Multi-dimensional Evaluation; Large Language Models; Data Contamination; Teach2Eval; audio; language; and other modalities
1232	Teaching VLMs to Admit Uncertainty in OCR from Lossy Visual Inputs Authors: Shuhao Guan; Moule Lin; Cheng Xu; Jinman Zhao; Derek Greene Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Optical Character Recognition; Visually Degraded Document; Uncertainty; LLM; audio; language; and other modalities
1233	Test-Time Optimization of 3D Point Cloud LLM via Manifold-Aware In-Context Guidance and Refinement Authors: Tiankai Chen; Nanqing Liu; Li Yang; Xulei Yang; Tianrui Li; Xun Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D point cloud; large language model; audio; language; and other modalities
1234	Text-Aware Image Restoration with Diffusion Models Authors: Jaewon Min; Jin Hyeon Kim; Paul Hyunbin Cho; Jaeeun Lee; Jihye Park; Park Min Kyu; Sangpil Kim; Hyunhee Park; Seungryong Kim Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Diffusion Model; Image Restoration; Text-spotting; Scene-Text Image Super Resolution; audio; language; and other modalities
1235	Text2Arch: A Dataset for Generating Scientific Architecture Diagrams from Natural Language Descriptions Authors: Shivank Garg; Sankalp Mittal; Manish Gupta Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: NLP: Generation; NLP: Applications; audio; language; and other modalities
1236	Text2Interact: High-Fidelity and Diverse Text-to-Two-Person Interaction Generation Authors: Qingxuan Wu; Zhiyang Dou; chuan guo; Yiming Huang; Qiao Feng; Bing Zhou; Jian Wang; Lingjie Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human Motion Generation; Two-person Motion Generation; audio; language; and other modalities
1237	The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think Authors: Seongyun Lee; Seungone Kim; Minju Seo; Yongrae Jo; Dongyoung Go; Hyeonbin Hwang; Jinho Park; Xiang Yue; Sean Welleck; Graham Neubig; Moontae Lee; Minjoon Seo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Reasoning in Language Models; Chain-of-Thought Interpretability; Model Behavior Control; audio; language; and other modalities
1238	The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images without Any 3D Knowledge Authors: Haoru Wang; Kai Ye; Minghan Qin; Yangyan Li; Wenzheng Chen; Baoquan Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: novel view synthesis; feed-forward; scaling behavior; audio; language; and other modalities
1239	Think Then Embed: Generative Context Improves Multimodal Embedding Authors: Xuanming Cui; Jianpeng Cheng; Hong-You Chen; Satya Narayan Shukla; Abhijeet Awasthi; Xichen Pan; Chaitanya Ahuja; Shlok Kumar Mishra; Taipeng Tian; Qi Guo; Ser-Nam Lim; Aashu Sing… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Retrieval; audio; language; and other modalities
1240	ThinkOmni: Lifting Textual Reasoning to Omni-modal Scenarios via Guidance Decoding Authors: Yiran Guan; Sifan Tu; Dingkang Liang; Linghao Zhu; Jianzhong Ju; Zhenbo Luo; Jian Luan; Yuliang Liu; Xiang Bai Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Omni-modal large language models; training-free guidance decoding; language model reasoning; audio; language; and other modalities
1241	Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation Authors: Kang Liao; Size Wu; Zhonghua Wu; Linyi Jin; Chao Wang; Yikai Wang; Fei Wang; Wei Li; Chen Change Loy Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Unified Multimodal Model; Spatial Intelligence; Controllable Generation; Camera Calibration; audio; language; and other modalities
1242	Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders Authors: Bo Fang; YuXin Song; Haoyuan Sun; Qiangqiang Wu; Wenhao Wu; Antoni B. Chan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Long Video Understanding; Keyframe Selection; Keyframe Narratives; audio; language; and other modalities
1243	Thyme: Think Beyond Images Authors: YiFan Zhang; Xingyu Lu; Shukang Yin; Chaoyou Fu; Wei Chen; Xiao Hu; Bin Wen; Kaiyu Jiang; Changyi Liu; Tianke Zhang; Haonan fan; Kaibing Chen; Jiankang Chen; Haojie Ding; Kaiyu Ta… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MLLM; Agentic; Think with images; Coding; audio; language; and other modalities
1244	TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State Authors: Guowen Li; Xintong Liu; Yang Liu; Mengxuan Chen; Shilei Cao; Xuehe Wang; Juepeng Zheng; Jinxiao Zhang; Haoyuan Liang; Lixian Zhang; Jiuke Wang; Meng Jin; Hong Cheng; Haohuan Fu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Subseasonal Weather Forecasting; audio; language; and other modalities
1245	To View Transform or Not to View Transform: NeRF-based Pre-training Perspective Authors: Hyeonjun Jeong; Juyeb Shin; Dongsuk Kum Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Autonomous driving; Pre-training; Self-supervised learning; Neural radiance fields; audio; language; and other modalities
1246	Token-Based Audio Inpainting via Discrete Diffusion Authors: Tali Dror; Iftach Shoham; Moshe Buchris; Oren Gal; Haim H. Permuter; Gilad Katz; Eliya Nachmani Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Audio inpainting; Discrete diffusion models; Transformer-based diffusion; Audio tokenization; Generative modeling; Music restoration; audio; language; and othe…
1247	Token-Efficient Item Representation via Images for LLM Recommender Systems Authors: Kibum Kim; Sein Kim; HongSeok Kang; Jiwan Kim; Heewoong Noh; Yeonjun In; Kanghoon Yoon; Jinoh Oh; Julian McAuley; Chanyoung Park Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Recommender Systems; Large Language Models; Sequence Modeling; audio; language; and other modalities
1248	ToolTree: Efficient LLM Tool Planning via Dual-Feedback Monte Carlo Tree Search and Bidirectional Pruning Authors: Shuo Yang; Caren Han; Yihao Ding; Shuhe Wang; Eduard Hovy Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Tool Planning; Monte-Carlo Tree Search; Agent Tool Use; audio; language; and other modalities
1249	Tools are under-documented: Simple Document Expansion Boosts Tool Retrieval Authors: Xuan Lu; Haohang Huang; Rui Meng; Yaohui Jin; Wenjun Zeng; Xiaoyu Shen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: tool retrieval; information retrieval; audio; language; and other modalities
1250	Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering Authors: Sen Zhao; Lincheng Zhou; Yue Chen; Ding Zou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Retrieval Augmented Generation; Graph Question Answering; Graph Neural Network; Large Language Model; Textual Graphs; audio; language; and other modalities
1251	Toward Complex-Valued Neural Networks for Waveform Generation Authors: Hyung-Seok Oh; Deok-Hyeon Cho; Seung-Bin Kim; Seong-Whan Lee Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: waveform generation; complex-valued neural networks; iSTFT-based vocoder; generative adversarial network; audio; language; and other modalities
1252	Towards Better Optimization For Listwise Preference in Diffusion Models Authors: Jiamu Bai; Xin Yu; Meilong Xu; Weitao Lu; Xin Pan; Kiwan Maeng; Daniel Kifer; Jian Wang; Yu Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Text-to-image generation; Diffusion Model Alignment; audio; language; and other modalities
1253	Towards Faithful Reasoning in Remote Sensing: A Perceptually-Grounded GeoSpatial Chain-of-Thought for Vision-Language Models Authors: Jiaqi Liu; Lang Sun; Ronghao Fu; Bo Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Remote Sensing; Geospatial AI; Vision Language Model; audio; language; and other modalities
1254	Towards Physically Executable 3D Gaussian for Embodied Navigation Authors: Bingchen Miao; Rong Wei; Zhiqi Ge; Xiaoquan sun; Shiqi Gao; Jingzhe Zhu; Renhan Wang; Siliang Tang; Jun Xiao; Rui Tang; Juncheng Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Vision-and-Language Navigation; audio; language; and other modalities
1255	Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection Authors: Tobias Riedlinger; Kira Maag; Hanno Gottschalk Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computer Vision; Confidence Calibration; Object Detection; Spatial Point Processes; audio; language; and other modalities
1256	Trace Anything: Representing Any Video in 4D via Trajectory Fields Authors: Xinhang Liu; Yuxi Xiao; Donny Y. Chen; Jiashi Feng; Yu-Wing Tai; Chi-Keung Tang; Bingyi Kang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Representation; 4D Scene Representation; audio; language; and other modalities
1257	Trajectory-aware Shifted State Space Models for Online Video Super-Resolution Authors: Qiang Zhu; Xiandong MENG; Yuxuan Jiang; Fan Zhang; David Bull; Shuyuan Zhu; Bing Zeng; Ronggang Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Super-resolution; Online; Mamba; Trajectory; audio; language; and other modalities
1258	Transductive Visual Programming: Evolving Tool Libraries from Experience for Spatial Reasoning Authors: Shengguang Wu; Xiaohan Wang; Yuhui Zhang; Hao Zhu; Serena Yeung-Levy Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: visual programming; spatial reasoning; tool abstraction; audio; language; and other modalities
1259	TripleSumm: Adaptive Triple-Modality Fusion for Video Summarization Authors: Sumin Kim; Hyemin Jeong; Mingu Kang; Yejin Kim; Yoori Oh; Joonseok Lee Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Summarization; Video Understanding; Multimodal Learning; audio; language; and other modalities
1260	U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs Authors: Xiaojie Li; Chu Li; Shi-Zhe Chen; Xi Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Universal multimodal retrieval; Multimodal large language models; Embedding; audio; language; and other modalities
1261	UFO-4D: Unposed Feedforward 4D Reconstruction from Two Images Authors: Junhwa Hur; Charles Herrmann; Songyou Peng; Philipp Henzler; Zeyu Ma; Todd Zickler; Deqing Sun Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Feedforward dense 4D reconstruction; 4D interpolation; 3D reconstruction; scene flow estimation; audio; language; and other modalities
1262	UNITE: Universal kNowledge Integration from Task-specific Experts Authors: Shuxia Lin; Qiufeng Wang; Xu Yang; Xin Geng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: LLMs; Mixture-of-Experts; Universal Knowledge Extraction; audio; language; and other modalities
1263	UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections Authors: Zeyu Cai; Ziyang Li; Xiaoben Li; Boqian Li; Zeyu Wang; Zhenyu Zhang; Yuliang Xiu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D clothed human reconstruction; image-based reconstruction; human digitization; SMPL; multi-view diffusion model; audio; language; and other modalities
1264	UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes Authors: Mark C. Eid; Ana Namburete; Joao F. Henriques Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Ultrasound; 3D Reconstruction; Gaussian; audio; language; and other modalities
1265	Unbiased Object Detection Beyond Frequency with Visually Prompted Image Synthesis Authors: Xinhao Cai; Liulei Li; Gensheng Pei; Tao Chen; Jinshan Pan; Yazhou Yao; Wenguan Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: computer vision; image generation; object detection; dataset debiasing; audio; language; and other modalities
1266	Uncertainty Matters in Dynamic Gaussian Splatting for Monocular 4D Reconstruction Authors: Fengzhi Guo; Chih-Chuan Hsu; Sihao Ding; Cheng Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: dynamic Gaussian Splatting; uncertainty estimation; 4D reconstruction; graph model; audio; language; and other modalities
1267	Understanding Dataset Distillation via Spectral Filtering Authors: Deyu Bo; Songhua Liu; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Dataset Distillation; Spectral Filtering; audio; language; and other modalities
1268	Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models Authors: Sen Ye; Mengde Xu; Shuyang Gu; Di He; Liwei Wang; Winston Hu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Unified Multimodal Large Models; Text-to-image generation; Reasoning Models; audio; language; and other modalities
1269	Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision Authors: Luozheng Qin; GONG JIA; Yuqing Sun; Tianjiao Li; Haoyu Pan; Mengping Yang; Xiaomeng Yang; Chao Qu; Zhiyu Tan; Hao Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Unified Model; Multi-Modal; Chain-of-Thought; Image Generation; Image Editing; audio; language; and other modalities
1270	UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models Authors: Guanlong Jiao; Biqing Huang; Kuan-Chieh Jackson Wang; Renjie Liao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image Inversion; Image Editing; Rectified Flow Models; Iterative Generation Models; Diffusion Models; audio; language; and other modalities
1271	UniF$^2$ace: A $\underline{Uni}$fied $\underline{F}$ine-grained $\underline{Face}$ Understanding and Generation Model Authors: Junzhe Li; Sifan Zhou; Liya Guo; Xuerui Qiu; Linrui Xu; TingTing Long; Chun Fan; Ming Li; Hehe Fan; Jun Liu; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human-centric AI; Face Generation; Face Understanding; audio; language; and other modalities
1272	UniFlow: A Unified Pixel Flow Tokenizer for Visual Understanding and Generation Authors: Zhengrong Yue; Haiyu Zhang; Xiangyu Zeng; Boyu Chen; Chenting Wang; Shaobin Zhuang; Lu Dong; Yi Wang; Limin Wang; Yali Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Unified Understanding and Generation; Vision Tokenizer; Visual Representation Learning; audio; language; and other modalities
1273	UniHM: Unified Dexterous Hand Manipulation with Vision Language Model Authors: Zhenhao Zhang; Jiaxin Liu; Ye Shi; Jingya Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Hand Manipulation Synthesis; Multimodal Large Language Model; audio; language; and other modalities
1274	UniHand: A Unified Model for Diverse Controlled 4D Hand Motion Modeling Authors: Zhihao Sun; Tong Wu; Ruirui Tu; Daoguo Dong; Zuxuan Wu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Hand Motion Modeling; Diffusion Model; audio; language; and other modalities
1275	UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing Authors: Hao Tang; Chen-Wei Xie; Xiaoyi Bao; Tingyu Weng; Pandeng Li; Yun Zheng; Liwei Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Unified Multimodal Understanding and Generation; Image Editing; CLIP; audio; language; and other modalities
1276	UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity Authors: Jingbo Lin; Zhilu Zhang; Wenbo Li; Renjing Pei; Hang Xu; Hongzhi Zhang; Wangmeng Zuo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: low-level vision; image restoration; all-in-one image restoration; audio; language; and other modalities
1277	UniSS: Unified Expressive Speech-to-Speech Translation with Your Voice Authors: Sitong Cheng; Bianweizhen; Xinsheng Wang; Ruibin Yuan; Jianyi Chen; Shunshun Yin; Yike Guo; Wei Xue Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Speech-to-Speech Translation; audio; language; and other modalities
1278	UniSplat: Unified Spatio-Temporal Fusion via 3D Latent Scaffolds for Dynamic Driving Scene Reconstruction Authors: Chen Shi; Shaoshuai Shi; Xiaoyang Lyu; Chunyang Liu; Kehua Sheng; Bo Zhang; Li Jiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Autonomous Driving; Feed-Forward Scene Reconstruction; 3D Gaussian Splatting; audio; language; and other modalities
1279	UniVideo: Unified Understanding, Generation, and Editing for Videos Authors: Cong Wei; Quande Liu; Zixuan Ye; Qiulin Wang; Xintao Wang; Pengfei Wan; Kun Gai; Wenhu Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: diffusion; multimodal generation; image generation; video generation; image editing; video editing; audio; language; and other modalities
1280	Unified Multi-Modal Interactive and Reactive 3D Motion Generation via Rectified Flow Authors: Prerit Gupta; Shourya Verma; Ananth Grama; Aniket Bera Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multi-modal; Generative Modeling; Interactive Motion; Reactive Motion; Rectified Flow; RAG; audio; language; and other modalities
1281	Unified Vision–Language Modeling via Concept Space Alignment Authors: Yifu QIU; Paul-Ambroise Duquenne; Holger Schwenk Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multimodal embedding space; multilingual embedding space; audio; language; and other modalities
1282	Unleashing Guidance Without Classifiers for Human-Object Interaction Animation Authors: Ziyin Wang; Sirui Xu; chuan guo; Bing Zhou; Jiangshan Gong; Jian Wang; Yu-Xiong Wang; Liangyan Gui Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: human-object interaction; human motion generation; audio; language; and other modalities
1283	Unleashing Perception-Time Scaling to Multimodal Reasoning Models Authors: Yifan Li; Zhenghao Chen; Ziheng Wu; Kun Zhou; Ruipu Luo; Can Zhang; Zhentao he; Yufei Zhan; Xin Zhao; Minghui Qiu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Vision-Language Models; Inference-Time Scaling; Fine-grained Perception; audio; language; and other modalities
1284	Unlocking the Essence of Beauty: Advanced Aesthetic Reasoning with Relative-Absolute Policy Optimization Authors: Boyang Liu; Yifan Hu; Senjie Jin; Shihan Dou; Gonglei Shi; Jie Shao; Tao Gui; Xuanjing Huang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Reinforcement Learning，Image Aesthetic Assessment; audio; language; and other modalities
1285	Unveiling the Potential of Diffusion Large Language Model in Controllable Generation Authors: Zhen Xiong; Yujun Cai; Zhecheng Li; Yiwei Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: diffusion large langauge models; controllable generation; structured output; audio; language; and other modalities
1286	Urban Socio-Semantic Segmentation with Vision-Language Reasoning Authors: Yu Wang; Yi Wang; Rui Dai; Yujie Wang; Kaikui Liu; Xiangxiang Chu; Yansheng Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Remote Sensing; Semantic Segmentation; Vision Language Model; Reinforcement Learning; audio; language; and other modalities
1287	VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Authors: Bo Jiang; Shaoyu Chen; Hao Gao; Bencheng Liao; Qian Zhang; Wenyu Liu; Xinggang Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Autonomous Driving; End-to-end; Probabilistic Planning; Closed-Loop; Planning Vocabulary; audio; language; and other modalities
1288	VGR: Visual Grounded Reasoning Authors: Jiacong Wang; Zijian Kang; Haochen Wang; LiangXiao; Ya Wang; Jiawen Li; Bohong Wu; Ran Jiao; Haiyong Jiang; ChaoFeng; Jun Xiao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: VLM; MultiModal; Cot; audio; language; and other modalities
1289	VLM-Guided Adaptive Negative Prompting for Creative Generation Authors: Shelly Golan; Yotam Nitzan; Zongze Wu; Or Patashnik Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Generative models; Computational graphics; audio; language; and other modalities
1290	Variation-aware Flexible 3D Gaussian Editing Authors: Hao Qin; Yukai Sun; Meng Wang; Ming Kong; Mengxu Lu; Qiang Zhu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3d editing; 3d gaussian splatting; knowledge distillation; audio; language; and other modalities
1291	VeriRole: Verifiable Role-Awareness through Hint-Guided Reinforcement Learning Authors: Zongsheng Wang; Kaili Sun; Bowen Wu; qun yu; Ying Li; Xu Chen; Baoxun Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: role-playing character agent; RPCA; LLM; audio; language; and other modalities
1292	ViMo: A Generative Visual GUI World Model for App Agents Authors: Dezhao Luo; Bohan Tang; Kang Li; Georgios Papoudakis; Jifei Song; Shaogang Gong; Jianye HAO; Jun Wang; Kun Shao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: World Model; GUI Generation; App Agent; audio; language; and other modalities
1293	ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Models Authors: Juntian Zhang; Song Jin; Chuanqi Cheng; Yuhan Liu; Yankai Lin; Xun Zhang; Yufei zhang; Fei Jiang; Guojun Yin; Wei Lin; Rui Yan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision-Language Models; visual perception; self-evolution; reinforcement learning; audio; language; and other modalities
1294	VidBridge-R1: Bridging QA and Captioning for RL-based Video Understanding Models with Intermediate Proxy Tasks Authors: Xinlong Chen; Yuanxing Zhang; Yushuo Guan; Weihong Lin; Zekun Moore Wang; Bohan Zeng; Yang Shi; Sihan Yang; Qiang Liu; Pengfei Wan; Liang Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: video-qa; captioning; RL; audio; language; and other modalities
1295	VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL Authors: Kyoungjun Park; Yifan Yang; Juheon Yi; Shicheng Zheng; Muhammad Muaz; Yifei Shen; Dongqi Han; Caihua Shan; Lili Qiu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Discriminator; MLLM; audio; language; and other modalities
1296	Video Scene Segmentation with Genre and Duration Signals Authors: Jungu Cho; Seong Jong Ha; Hae-Gon Jeon Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Scene Segmentation; Movie Scene Boundary Detection; Video Temporal Segmentation; audio; language; and other modalities
1297	Video-KTR: Reinforcing Video Reasoning via Key Token Attribution Authors: Ziyue Wang; Sheng Jin; ZHONGRONG ZUO; Jiawei Wu; Han Qiu; Qi She; Hao Zhang; Xudong Jiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Reasoning; Modality-aware Attribution; Reinforcement Learning; Multimodal Large Language Models; audio; language; and other modalities
1298	Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools Authors: Zhenlong Yuan; Xiangyan Qu; Chengxuan Qian; Rui Chen; Jing Tang; Lei Sun; Xiangxiang Chu; Dapeng Zhang; Yiwei Wang; Yujun Cai; Shuo Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: multimodal reasoning; vision-language model; action recognition; audio; language; and other modalities
1299	VideoAnchor: Reinforcing Subspace-Structured Visual Cues for Coherent Visual-Spatial Reasoning Authors: Zhaozhi Wang; Tong Zhang; Mingyue Guo; Yaowei Wang; Qixiang Ye Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: visual-spatial reasoning; sparse subspace clustering; audio; language; and other modalities
1300	VideoJudge: Bootstrapping Enables Scalable Supervision of MLLM-as-a-Judge for Video Understanding Authors: Abdul Waheed; Zhen Wu; Dareen Safar Alharthi; Seungone Kim; Bhiksha Raj Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Meta-evaluation; llm-as-judge; synthetic data; self-refinement; video understanding; audio; language; and other modalities
1301	VideoMind: A Chain-of-LoRA Agent for Temporal-Grounded Video Reasoning Authors: Ye Liu; Kevin Qinghong Lin; Chang Wen Chen; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multi-modal Agent; Video Understanding; Video Temporal Grounding; audio; language; and other modalities
1302	VideoNSA: Native Sparse Attention Scales Video Understanding Authors: Enxin Song; Wenhao Chai; Shusheng Yang; Ethan J. Armand; Xiaojun Shan; Haiyang Xu; Jianwen Xie; Zhuowen Tu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Efficient Video Understanding; Sparse Attention; audio; language; and other modalities
1303	VideoZoomer: Reinforcement-Learned Temporal Focusing for Long Video Reasoning Authors: Yang Ding; Xin Lai; Yizhen Zhang; Wei Li; Ruihang Chu; Yujiu Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal LLM; Reinforcement Learning; Video Understanding; audio; language; and other modalities
1304	VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models Authors: Lingjie Jiang; Shaohan Huang; Xun Wu; Yixia Li; Guanhua Chen; Dongdong Zhang; Furu Wei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision-Language Models; Code Generation; Model Merging; Dataset Construction; Multimodal Code Generation; audio; language; and other modalities
1305	VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization Authors: Jiajing Lin; Shu Jiang; Qingyuan Zeng; Zhenzhong Wang; Min Jiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Physics-Driven 4D Interaction; Scientific Discovery; Intrinsic Dynamics; audio; language; and other modalities
1306	VisionReasoner: Unified Reasoning-Integrated Visual Perception via Reinforcement Learning Authors: Yuqi Liu; Tianyuan Qu; Zhisheng Zhong; Bohao PENG; Shu Liu; Bei Yu; Jiaya Jia Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Reasoning Segmentation; Reinforcement Learning; Multi-model Large Language Models; Visual Perception; audio; language; and other modalities
1307	VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning Authors: Hao Yan; Xingchen Liu; Hao Wang; Zhenbiao Cao; Handong Zheng; Liang Yin; Xinxing Su; Zihao Chen; Jihao Wu; Minghui Liao; CHAO WENG; Wei Chen; Yuliang Liu; Xiang Bai Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MLLMs; AVR; Fine-grained Perception; audio; language; and other modalities
1308	Visual Prompt-Agnostic Evolution Authors: Junze Wang; Lei Fan; Dezheng Zhang; Weipeng Jing; Donglin Di; Yang Song; Sidong Liu; Cong Cong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Computer Vision; Visual Prompt Tuning; audio; language; and other modalities
1309	Visual Self-Refine: A Pixel-Guided Paradigm for Accurate Chart Parsing Authors: Jinsong Li; Xiaoyi Dong; Yuhang Zang; Yuhang Cao; Jiaqi Wang; Dahua Lin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Vision-Language Models; Chart Parsing; audio; language; and other modalities
1310	VisualPRM400K: An Effective Dataset for Training Multimodal Process Reward Models Authors: Weiyun Wang; Zhangwei Gao; Lianjie Chen; Zhe Chen; Jinguo Zhu; Xiangyu Zhao; Yangzhou Liu; Yue Cao; Shenglong Ye; Xizhou Zhu; Lewei Lu; Haodong Duan; Yu Qiao; Jifeng Dai; Wenhai W… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Multimodal Process Reward Model; audio; language; and other modalities
1311	VisualPrompter: Semantic-Aware Prompt Optimization with Visual Feedback for Text-to-Image Synthesis Authors: Shiyu Wu; Mingzhen Sun; Weining Wang; Yequan Wang; Jing Liu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: prompt engineering; image generation; diffusion model; text-to-image synthesis; audio; language; and other modalities
1312	Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration Authors: Haoran Bai; Xiaoxu Chen; Canqian Yang; Zongyao He; Sibin Deng; Ying Chen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Restoration; Diffusion Transformer; Text-to-Video; ControlNet; Concept Distillation; audio; language; and other modalities
1313	Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning Authors: Ganlin Yang; Tianyi Zhang; Haoran Hao; Weiyun Wang; Yibin Liu; Dehui Wang; Guanzhou Chen; Zijian Cai; Junting Chen; Weijie Su; Wengang Zhou; Yu Qiao; Jifeng Dai; Jiangmiao Pang; G… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision-Language-Model; Vision-Language-Action-Model; Embodied Reasoning; audio; language; and other modalities
1314	VoMP: Predicting Volumetric Mechanical Property Fields Authors: Rishit Dagli; Donglai Xiang; Vismay Modi; Charles Loop; Clement Fuji Tsang; Anka He Chen; Anita Hu; Gavriel State; David Levin I.W.; Maria Shugrina Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Physics-based Modeling; 3D Dynamics; audio; language; and other modalities
1315	VowelPrompt: Hearing Speech Emotions from Text via Vowel-level Prosodic Augmentation Authors: Yancheng Wang; Osama Hanna; Ruiming Xie; Xianfeng Rui; Maohao Shen; Xuedong Zhang; Christian Fuegen; Jilong Wu; Debjyoti Paul; Arthur Guo; Zhihong Lei; Ozlem Kalinli; Qing He; Yin… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Reasoning; Large Language Models; Emotion Recognition; Vowel; audio; language; and other modalities
1316	WIMFRIS: WIndow Mamba Fusion and Parameter Efficient Tuning for Referring Image Segmentation Authors: Seunghun Moon; Hyunwoo Yu; Haeuk Lee; Suk-Ju Kang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Referring image segmentation; parameter efficient tuning; computer vision; audio; language; and other modalities
1317	WOW-Seg: A Word-free Open World Segmentation Model Authors: Danyang Li; Tianhao Wu; Bin Lin; Zhenyuan Chen; Yang Zhang; Yuxuan Li; Ming-Ming Cheng; Xiang Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: vision language model; open world; segmentation; object recognition; audio; language; and other modalities
1318	WavePolyp: Video Polyp Segmentation via Hierarchical Wavelet-Based Feature Aggregation and Inter-Frame Divergence Perception Authors: Yuhua Zhang; Guilian Chen; Yuanqin He; Huisi Wu; Jing Qin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Video Polyp Segmentation; audio; language; and other modalities
1319	Web-CogReasoner: Towards Multimodal Knowledge-Induced Cognitive Reasoning for Web Agents Authors: Yuhan Guo; Guocong; Aiwen Sun; Hongliang He; Xinyu Yang; Yue Lu; Yingji Zhang; Xuntao Guo; Dong Zhang; Jianzhuang Liu; Jiang Duan; Yijia Xiao; Liangjian Wen; Haiming Xu; Yong Dai Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Web agent; Web UI; Cognitive Reasoning; Web knowledge; audio; language; and other modalities
1320	WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization Authors: Zhengwei Tao; Jialong Wu; Wenbiao Yin; Pu Wu; Junkai Zhang; Baixuan Li; Haiyang SHEN; Kuan Li; Liwen Zhang; Xinyu Wang; Wentao Zhang; Yong Jiang; Pengjun Xie; Fei Huang; Jingren Z… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: agent; information seeking; data synthesis; llm; audio; language; and other modalities
1321	WebWatcher: Breaking New Frontiers of Vision-Language Deep Research Agent Authors: Xinyu Geng; Peng Xia; Zhen Zhang; Xinyu Wang; Qiuchen Wang; Ruixue Ding; Chenxi Wang; Jialong Wu; Kuan Li; Yida Zhao; Huifeng Yin; Yong Jiang; Pengjun Xie; Fei Huang; Huaxiu Yao;… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Agent; Web Agent; Deep Research; Visual Question Answering (VQA); Tool-augmented Reasoning; Multimodal Information-Seeking Benchmark; audio; languag…
1322	WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research Authors: Zijian Li; Xin Guan; Bo Zhang; Shen Huang; Houquan Zhou; Shaopeng Lai; Ming Yan; Yong Jiang; Pengjun Xie; Fei Huang; Jun Zhang; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Agent; Deep Research; audio; language; and other modalities
1323	What "Not" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging Authors: Inha Kang; Youngsun Lim; Seonho Lee; Jiho Choi; Junsuk Choe; Hyunjung Shim Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vision Language Model; Negation Understanding; Affirmative Bias; Described Object Detection; Chain-of-Thought Reasoning; Token Merging; audio; language; and ot…
1324	What Happens Next? Anticipating Future Motion by Generating Point Trajectories Authors: Gabrijel Boduljak; Laurynas Karazija; Iro Laina; Christian Rupprecht; Andrea Vedaldi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: motion generation; point trajectories; flow matching; audio; language; and other modalities
1325	When MLLMs Meet Compression Distortion: A Coding Paradigm Tailored to MLLMs Authors: Jinming Liu; Zhaoyang Jia; Jiahao Li; Bin Li; Xin Jin; Wenjun Zeng; Yan Lu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Image Coding; Image Compression; Multimodal Large Language Models; audio; language; and other modalities
1326	Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum Authors: Shan Ning; Longtian Qiu; Xuming He Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Multimodal Learning; Visual Question Answering; Reinforcement Learning; audio; language; and other modalities
1327	WinT3R: Window-Based Streaming Reconstruction with Camera Token Pool Authors: Zizun Li; Jianjun Zhou; Yifan Wang; Haoyu Guo; Wenzheng Chang; Yang Zhou; Haoyi Zhu; Junyi Chen; Chunhua Shen; Tong He Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: computer vision; 3D reconstruction; machine learning; audio; language; and other modalities
1328	World2Minecraft: Occupancy-Driven Simulated Scenes Construction Authors: Lechao Zhang; Haoran Xu; Jingyu Gong; Xuhong Wang; Yuan Xie; Xin Tan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Embodied AI; World2Minecraft; 3D Semantic Occupancy Prediction; MinecraftOcc Dataset; Vision-Language Navigation; audio; language; and other modalities
1329	WorldTree: Towards 4D Dynamic Worlds from Monocular Video using Tree-Chains Authors: Qisen Wang; Yifan Zhao; Jia Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Novel View Synthesis; Monocular Dynamic Reconstruction; Gaussian Splatting; audio; language; and other modalities
1330	YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting Authors: Botao Ye; Boqi Chen; Haofei Xu; Daniel Barath; Marc Pollefeys Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 3D Gaussian splatting; feedforward model; novel view synthesis; pose-free; audio; language; and other modalities
1331	You Point, I Learn: Online Adaptation of Interactive Segmentation Models for Handling Distribution Shifts in Medical Imaging Authors: Wentian Xu; Ziyun Liang; Harry Anthony; Yasin Ibrahim; Felix Cohen; Guang Yang; Konstantinos Kamnitsas Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Medical Image Segmentation; Interactive; Online Adaptation; audio; language; and other modalities
1332	Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking Authors: Jinyi Han; Ying Huang; Ying Liao; Haiquan Zhao; Zishang Jiang; Xinyi Wang; Xikun Lu; Guanghao Zhou; Sihang Jiang; Jiaqing Liang; Weikang Zhou; Zeye Sun; Fei Yu; Yanghua Xiao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Large Language Models; Efficient Reasoning; Overthink; audio; language; and other modalities
1333	Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning Authors: Junnan Dong; Siyu An; Yifei Yu; Qian-Wen Zhang; Linhao Luo; Xiao Huang; di yin; Yunsheng Wu; Xing Sun Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: GraphRAG; Schema; Complex QA; audio; language; and other modalities
1334	YuE: Scaling Open Foundation Models for Long-Form Music Generation Authors: Ruibin Yuan; Hanfeng Lin; Shuyue Guo; Ge Zhang; Jiahao Pan; Yongyi Zang; Haohe Liu; Yiming Liang; Wenye Ma; Xingjian Du; Xeron Du; Zhen Ye; Tianyu Zheng; Zhengxuan Jiang; Yinghao… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: lyrics2song; song generation; long-form; foundation model; music generation; audio; language; and other modalities
1335	Zero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition Authors: Shiyu Xuan; Dongkai Wang; Zechao Li; Jinhui Tang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human-Object Interaction; Large Multi-modal Language Models; audio; language; and other modalities
1336	Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers Authors: Sahil Bhandary Karnoor; Romit Roy Choudhury Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Human Motion tracking; Inverse problems; Wearable sensors; audio; language; and other modalities
1337	ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval Authors: Weiwei Sun; Keyi Kong; Xinyu Ma; Shuaiqiang Wang; Dawei Yin; Maarten de Rijke; Zhaochun Ren; Yiming Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Information Retrieval; audio; language; and other modalities
1338	Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores Authors: Chunshu Wu; Ruibing Song; Sushant Kondguli; Tong Geng; Ang Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: U-Net; segmentation; binary neural network; GPU Tensor Core; audio; language; and other modalities
1339	mR3: Multilingual Rubric-Agnostic Reward Reasoning Models Authors: David Anugraha; Shou-Yi Hung; Zilu Tang; En-Shiun Annie Lee; Derry Tanti Wijaya; Genta Indra Winata Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: reward model; reasoning; rubric; audio; language; and other modalities
1340	A Biologically Plausible Dense Associative Memory with Exponential Capacity Authors: Mohadeseh Shafiei Kafraj; Dmitry Krotov; Peter E. Latham Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Dense Associative Memory; Hopfield Network
1341	A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and Disorders Authors: Xinxu Wei; kanhao zhao; Yong Jiao; Lifang He; Yu Zhang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Brain Graph Foundation Model; Functional Magnetic Resonance Imaging (fMRI); Neuroscience; Graph Pre-Training; Fine-Tuning; Prompt Learning
1342	A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks Authors: Qianyi Bai; Haiteng Wang; Qiang Yu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks (SNNs); Dynamic Gated Neurons; Noise Robustness; Brain-Inspired Computing
1343	A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding Authors: Jingyu Lu; Haonan Wang; Qixiang ZHANG; Xiaomeng Li Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: fMRI; brain decoding; video reconstruction; cross-subject generalization; visual cortex; contrastive learning; zero-shot decoding
1344	A cross-species neural foundation model for end-to-end speech decoding Authors: Yizi Zhang; Linyang He; Chaofei Fan; Tingkai Liu; Han Yu; Trung Le; Jingyuan Li; Scott Linderman; Lea Duncker; Francis R Willett; Nima Mesgarani; Liam Paninski Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: brain-computer interfaces; neuroscience; neural decoding; self-supervised learning; multimodal; transformer; masked modeling
1345	A foundation model with multi-variate parallel attention to generate neuronal activity Authors: Francesco S. Carzaniga; Michael Hersche; Abu Sebastian; Kaspar Schindler; Abbas Rahimi Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: time-series; ieeg; neurology; foundation model; attention; transformer
1346	A tale of two tails: Preferred and anti-preferred natural stimuli in visual cortex Authors: Rabia Gondur; Patricia L. Stan; Matthew A. Smith; Benjamin R. Cowley Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: computational neuroscience; neuronal tuning; stimulus selectivity; higher-order visual cortex; human psychophysics; stimulus optimization; deep neural networks
1347	Accelerating Benchmarking of Functional Connectivity Modeling via Structure-aware Core-set Selection Authors: Ling Zhan; Zhen Li; Junjie Huang; Tao Jia Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Functional Connectivity Benchmark; Core-set Selection; Network Modeling; Structure-aware Sampling
1348	Advancing Spatiotemporal Representations in Spiking Neural Networks via Parametric Invertible Transformation Authors: Yinsong Yan; Yujie Wu; Jibin Wu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Spatiotemporal Representations; Neuromorphic Computing
1349	An Information-Theoretic Framework For Optimizing Experimental Design To Distinguish Probabilistic Neural Codes Authors: Po-Chen Kuo; Edgar Y. Walker Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Bayesian brain hypothesis; perceptual decision-making; uncertainty representations; probabilistic neural codes; probabilistic population code; neural sampling…
1350	Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining Authors: Yanchen Wang; Han Yu; Ari Blau; Yizi Zhang; International Brain Laboratory; Liam Paninski; Cole Lincoln Hurwitz; Matthew R Whiteway Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: behavior analysis; neuroscience; neural encoding; electrophysiology; Neuropixels; pose estimation; action segmentation
1351	Are EEG Foundation Models Worth It? Comparative Evaluation with Traditional Decoders in Diverse BCI Tasks Authors: Liuyin Yang; Qiang Sun; Ang Li; Marc M. Van Hulle Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Foundation Model; Brain–Computer Interface; EEG; Benchmark
1352	Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decoding Authors: Jiahe Li; Junru Chen; Fanqi Shen; Jialan Yang; Jada Li; Zhizhang Yuan; Baowen Cheng; Meng Li; Yang Yang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Electroencephalography (EEG); Brain-computer interface (BCI); Semantic Intent; Neural decoding
1353	Autoregressive Visual Decoding from EEG Signals Authors: Sicheng Dai; Hongwang Xiao; Shan Yu; Qiwei Ye Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: EEG decoding; Visual reconstruction; BCI; Visual neural decoding
1354	Bayesian Test-Time Adaptation via Dirichlet feature projection and GMM-Driven Inference for Motor Imagery EEG Decoding Authors: Huan LUO; Na Lu; Xiaopeng Wang; Xu Niu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Brain-computer interface; motor imagery; test-time adaptation; Dirichlet distribution; Bayesian inference
1355	Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain Encoding Authors: Haomiao Chen; Keith W Jamison; Mert R. Sabuncu; Amy Kuceyeski Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Neural encoding model; Computational Neuroscience; Neuroimaging; Medical imaging; Implicit neural representation
1356	Beyond Hearing: Learning Task-Agnostic ExG Representations from Earphones via Physiology-Informed Tokenization Authors: Hyungjun Yoon; Seungjoo Lee; Yu Wu; XiaoMeng Chen; Taiting Lu; Freddy Yifei Liu; Taeckyung Lee; Hyeongheon Cha; Haochen Zhao; Gaoteng Zhao; Dongyao Chen; Cecilia Mascolo; Sung-Ju… Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Physiology-informed multi-band tokenization; ExG; Representation learning; Free-living ExG dataset; Task-agnostic training
1357	Bidirectional Predictive Coding Authors: Gaspard Oliviers; Mufeng Tang; Rafal Bogacz Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: predictive coding; sensory processing; discriminative and generative tasks
1358	Biologically Plausible Learning via Bidirectional Spike-Based Distillation Authors: Yifei Wang; Zhangyanxun; Changze Lv; Yiyang Lu; Jingwen Xu; Xiaohua Wang; Di Yu; Xin Du; Xuanjing Huang; Xiaoqing Zheng Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: spiking neural networks; learning algorithms
1359	Bound by semanticity: universal laws governing the generalization-identification tradeoff Authors: Marco Nurisso; Jesseba Fernando; Raj Deshpande; Alan Perotti; Raja Marjieh; Steven M Frankland; Richard Lewis; Taylor Whittington Webb; Declan Iain Campbell; Francesco Vaccarino;… Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: generalization; multi-object reasoning; cognitive science
1360	Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer Authors: Roman Beliy; Amit Zalcher; Jonathan Kogman; navve wasserman; michal Irani Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: fMRI-to-Image Reconstruction; Brain Decoding; fMRI Decoding; Multiple Brains
1361	Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model Authors: Sam Gijsen; Marc-Andre Schulz; Kerstin Ritter Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neuroscience; neuroimaging; SSL; self-supervised learning; representation learning; foundation model
1362	Building spatial world models from sparse transitional episodic memories Authors: Zizhan He; Maxime Daigle; Pouya Bashivan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spatial Representations; World Models; Episodic Memory Models; Transformers; Navigation
1363	CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement Learning Authors: Zijie Xu; Xinyu Shi; Yiting Dong; Zihan Huang; Zhaofei Yu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Batch Normalization; Reinforcement Learning
1364	Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks Authors: Yuan Hua; Jilin Zhang; Yingtao Zhang; Leyi You; Baobo Xiong; Carlo Vittorio Cannistraci; Hong Chen Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Sparse Spiking Neural Network; Dynamic Sparse Training; Pruning and Regrowth
1365	Characterizing Human Semantic Navigation in Concept Production as Trajectories in Embedding Space Authors: Felipe Diego Toro-Hernández; Jesuino Vieira Filho; Rodrigo M. Cabral-Carvalho Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Semantic Navigation; Natural Language Processing; Human Cognition; Text Embeddings
1366	CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model Authors: Jingying Ma; Feng Wu; Qika Lin; Yucheng Xing; Chenyu Liu; Ziyu Jia; Mengling Feng Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: EEG foundation model; Vector Quantization; State Space Model
1367	CogMoE: Signal-Quality–Guided Multimodal MoE for Cognitive Load Prediction Authors: Aamir Bader Shah; Yu Wen; Renjie Hu; Jiefu Chen; Jose L Contreras-Vidal; Xuqing Wu; Xin Fu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Cognitive-load; multi-modality; mixture-of-experts
1368	Continuous multinomial logistic regression for neural decoding Authors: Anuththara Rupasinghe; Jonathan W. Pillow Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Neural propulation coding; Conditional Density Estimation; Gaussian processes; Variational inference; Probabilistic models
1369	Convex Efficient Coding Authors: Will Dorrell; Peter E. Latham; James C. R. Whittington Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Neuroscience; Representation; Identifiability
1370	Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent Dynamics Authors: Ram Dyuthi Sristi; Sowmya Manojna Narasimha; Jingya Huang; Alice Despatin; Simon Musall; Vikash Gilja; Gal Mishne Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: multi-region neural recordings; shared/private disentanglement; transformer sequence models; coupled autoencoders; latent variable dynamics; Neuropixels; neura…
1371	Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining Authors: Sangyoon Bae; Mehdi Azabou; Blake Aaron Richards; Jiook Cha Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Computational Neuroscience; Machine Learning for Science; Neural Decoding; Calcium Imaging; Neural Population Heterogeneity; Visual Reconstruction; Scaling; Se…
1372	Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading Authors: Cfir Avraham Hadar; Omer Shubi; Yoav Meiri; Amit Heshes; Yevgeni Berzak Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Eye Movements in Reading; Multimodal Large Language Models; Information Seeking; Cognitive State Decoding
1373	Discovering alternative solutions beyond the simplicity bias in recurrent neural networks Authors: William Qian; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: recurrent neural networks; computational neuroscience; dynamical systems
1374	Discovering heterogeneous synaptic plasticity rules via large-scale neural evolution Authors: Ziyuan Ye; Beichen Huang; Yujie Wu; Guozhang Chen; Jibin Wu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Synaptic plasticity; Evolutionary computation; Computational neuroscience
1375	Disentangling the Factors of Convergence between Brains and DINOv3 Authors: Joséphine Raugel; Marc Szafraniec; Huy V. Vo; Camille Couprie; Jérémy Rapin; Stéphane d'Ascoli; Patrick Labatut; Piotr Bojanowski; Valentin Wyart; Jean-Remi King Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: NeuroAI; Brain–AI alignment; Representational alignment; Hierarchy alignment; Emergence; Vision transformers; Self-supervised learning; fMRI; MEG; Temporal dyn…
1376	ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models Authors: Chenyu Liu; Yuqiu Deng; Tianyu Liu; Jinan Zhou; Xinliang Zhou; Ziyu Jia; Yi Ding Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Electroencephalography; In-context Learning; Large EEG Model
1377	EgoBrain: Synergizing Minds and Eyes For Human Action Understanding Authors: Nie Lin; Yansen Wang; Dongqi Han; Weibang Jiang; Jingyuan Li; Ryosuke Furuta; Yoichi Sato; Dongsheng Li Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Electroencephalography (EEG); First Person Vision(Egocentric Vision); Human Action Understanding
1378	Emergence of Spatial Representation in an Actor-Critic Agent with Hippocampus-Inspired Sequence Generator Authors: Xiao-Xiong Lin; Yuk-Hoi Yiu; Christian Leibold Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neuroscience; deep reinforcement learning; place cells; navigation
1379	Estimating Dimensionality of Neural Representations from Finite Samples Authors: Chanwoo Chun; Abdulkadir Canatar; SueYeon Chung; Daniel Lee Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Dimensionality; estimator; neuroscience
1380	Evaluating Language Models' Evaluations of Games Authors: Katherine M. Collins; Cedegao E. Zhang; Graham Todd; Lance Ying; Mauricio Barba da Costa; Ryan Liu; Prafull Sharma; Adrian Weller; Ionatan Kuperwajs; Lionel Wong; Joshua B. Tenenb… Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: game AI; meta-reasoning; cognitive science; problem evaluation
1381	From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers Authors: Yi-Fei Liu; Yi-Long Lu; Di He; Hang Zhang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Large Language Model; Psychological Profiling; Human Simulation; Zero-Shot Prediction; Reasoning Trace Analysis
1382	Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification Authors: Hwa Hui Tew; Junn Yong Loo; Leong Fang Yu; Julia K. Lau; Ding Fan; Hernando Ombao; Raphael CW Phan; Chee Pin Tan; Chee-Ming Ting Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Generative Models; Time Series; Flow Matching
1383	HEEGNet: Hyperbolic Embeddings for EEG Authors: Shanglin Li; Chu Shiwen; Okan Koç; Yi Ding; Qibin Zhao; Motoaki Kawanabe; Ziheng Chen Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: geometric deep learning; transfer learning; source-free adaptation; electroencephalography; neurology; brain-computer interfaces
1384	Hippoformer: Integrating Hippocampus-inspired Spatial Memory with Transformers Authors: Tiantian Li; Xingxing Cao; Yifei Wang; Xiaojiao Yang; Xiaolong Zou; Bo Hong Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Hippocampus; grid cell; spatial reasoning; relational memory; transformer
1385	Homeostatic Adaptation of Optimal Population Codes under Metabolic Stress Authors: Yi-Chun Hung; Gregory W Schwartz; Emily A. Cooper; Emma Alexander Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Efficient neural codes; neural computation; metabolism
1386	Inducing Dyslexia in Vision Language Models Authors: Melika Honarmand; Ayati Sharma; Badr AlKhamissi; Johannes Mehrer; Martin Schrimpf Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: VLMs; Dyslexia; Reading; Cognition; Causal hypothesis testing; NeuroAI
1387	Inferring brain plasticity rule under long-term stimulation with structured recurrent dynamics Authors: Zhichao Liang; Jingzhe Lin; Xinyi Li; Guanyi Zhao; Quanying Liu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: brain plasticity; long-term stimulation; recurrent dynamics
1388	InputDSA: Demixing, then comparing recurrent and externally driven dynamics Authors: Ann Huang; Mitchell Ostrow; Satpreet Harcharan Singh; Leo Kozachkov; Ila R Fiete; Kanaka Rajan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: dynamical systems; recurrent neural networks; neural dynamics; similarity metrics; computational neuroscience
1389	Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility Authors: Michael A. Lepori; Jennifer Hu; Ishita Dasgupta; Roma Patel; Thomas Serre; Ellie Pavlick Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: LLMs; cognitive science; interpretability; common sense reasoning
1390	Joint Adaptation of Uni-modal Foundation Models for Multi-modal Alzheimer's Disease Diagnosis Authors: Wentao Gu; Yuquan Li; XINYANG JIANG; Zilong Wang; Dongsheng Li; Zehui Li; Zijian Dong; Cairong Zhao Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Artificial Intelligence for sciences; Alzheimer's disease; multi-modal diagnosis; Foundation Models
1391	LORE: Jointly Learning The Intrinsic Dimensionality and Relative Similarity Structure from Ordinal Data Authors: Vivek Anand; Alec Helbling; Mark A. Davenport; Gordon J Berman; Sankaraleengam Alagapan; Christopher John Rozell Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Ordinal Embedding; Intrinsic Dimensionality; Psychophysics; Subjective Perceptual Learning; Relative Similarity Embedding
1392	LaVCa: LLM-assisted Visual Cortex Captioning Authors: Takuya Matsuyama; Shinji Nishimoto; Yu Takagi Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Neuroscience; Computer vision; Visual systems; Captioning; Large language model; Semantics; Neuroimaging; Functional magnetic resonance imaging
1393	Language and Experience: A Computational Model of Social Learning in Complex Tasks Authors: Cédric Colas; Tracey Mills; Ben Prystawski; Michael Henry Tessler; Noah Goodman; Jacob Andreas; Joshua B. Tenenbaum Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: cognitive science; social learning; cultural learning; causal learning; bayesian models of cognition
1394	Learning Brain Representation with Hierarchical Visual Embeddings Authors: Jiawen Zheng; Haonan Jia; MING LI; Yuhui Zheng; Yufeng Zeng; Yang Gao; Chen Liang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Visual Decoding; Brain-Computer Interface; EEG; Contrastive Learning
1395	Learning From the Past with Cascading Eligibility Traces Authors: Tokiniaina Raharison Ralambomihanta; Ivan Anokhin; Roman Pogodin; Samira Ebrahimi Kahou; Jonathan Cornford; Blake Aaron Richards Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: biological credit assignment; eligibility traces; synaptic plasticity; computational neuroscience
1396	Low-Pass Filtering Improves Behavioral Alignment of Vision Models Authors: Max Wolff; Thomas Klein; Evgenia Rusak; Felix A. Wichmann; Wieland Brendel Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: behavioral alignment; cognitive science; CLIP; computer vision; shape bias; error consistency
1397	Many Eyes, One Mind: Temporal Multi-Perspective and Progressive Distillation for Spiking Neural Networks Authors: Kai Sun; Peibo Duan; Yongsheng Huang; Nanxu Gong; Levin Kuhlmann Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Knowledge Distillation; Neuromorphic Computing
1398	Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes Authors: Bahti Zakirov; Gasper Tkacik Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Computational Neuroscience; Gaussian Processes; Efficient Coding; Deep Kernel Learning; Meta-Learning; Inductive Biases; Bayesian Deep Learning
1399	MindMix: A Multimodal Foundation Model for Auditory Perception Decoding via Deep Neural-Acoustic Alignment Authors: RUI LIU; Zhige Chen; Pengshu; Wenlong You; Zhi-An Huang; Jibin Wu; KC Tan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Electroencephalogram; Audio; Multimodal foundation model; Auditory decoding
1400	MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion Authors: Dongyang Li; Kunpeng Xie; Mingyang Wu; Yiwei Kong; Jiahua Tang; Haoyang Qin; Chen Wei; Quanying Liu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Neuroscience; Brain Modulation; EEG; Closed-loop; Brain Coding; BCI; Generative Model; Black-box Guidance; Encoding Model
1401	Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization Authors: Badr AlKhamissi; C. Nicolò De Sabbata; Greta Tuckute; Zeming Chen; Martin Schrimpf; Antoine Bosselut Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Mixture of Experts; Functional Specialization; Brain-Inspired AI; Interpretability; Behavioral Alignment
1402	MnemoDyn: Learning Resting State Dynamics from $40$K FMRI sequences Authors: Sourav Pal; Viet Luong; Hoseok Lee; Tingting Dan; Guorong Wu; Richard Davidson; Won Hwa Kim; Vikas Singh Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Dynamical system; Brain Imaging
1403	MoGen: Detailed Neuronal Morphology Generation via Point Cloud Flow Matching Authors: Franz Rieger; Jan-Matthis Lueckmann; Viren Jain; Michal Januszewski Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neuroscience; connectomics; neuron reconstruction; generative modelling; point clouds; flow matching
1404	Model-Guided Microstimulation Steers Primate Visual Behavior Authors: Johannes Mehrer; Ben Lonnqvist; Anna Mitola; Paolo Papale; Martin Schrimpf Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: causal interventions; topographic deep artificial neural networks; brain modeling
1405	Modeling Others' Minds as Code Authors: Kunal Jha; Aydan Yuenan Huang; Eric Ye; Natasha Jaques; Max Kleiman-Weiner Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Multi-agent; theory of mind; program synthesis; action understanding; goal inference
1406	Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction Authors: Xu Zhang; Ruijie Quan; Wenguan Wang; Yi Yang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: fMRI-to-Image Reconstruction; Coarse-to-Fine Generation; Scale-wise Autoregressive Modeling; Scale-aware Neural Guidance
1407	Multi-Synaptic Cooperation: A Bio-Inspired Framework for Robust and Scalable Continual Learning Authors: Penghui Li; Zhuang Ma; Yunliang Zang; Qiang Yu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Continual Learning; Catastrophic Forgetting; Brain-inspired Computing; Multi-Synaptic Cooperation
1408	Musculoskeletal simulation of limb movement biomechanics in Drosophila melanogaster Authors: Pembe Gizem Ozdil; Chuanfang Ning; Jasper S. Phelps; Sibo Wang-Chen; Guy Elisha; Auke Ijspeert; Pavan Ramdya Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Musculoskeletal Modeling; Drosophila melanogaster; Imitation Learning
1409	Neural Dynamics Self-Attention for Spiking Transformers Authors: Dehao Zhang; Fukai Guo; Shuai Wang; Jingya Wang; Jieyuan Zhang; Yimeng Shan; Malu Zhang; Yang Yang; Haizhou Li Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Spiking Self-Attention; Spiking Transformer
1410	Neural Synchrony Between Socially Interacting Language Models Authors: Zhining Zhang; Wentao Zhu; Chi Han; Yizhou Wang; Heng Ji Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: language models; social mind; inter-brain synchrony; social interaction
1411	Neuro-Symbolic Decoding of Neural Activity Authors: Yanchen Wang; Joy Hsu; Ehsan Adeli; Jiajun Wu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neural decoding; concept grounding; neuro-symbolic learning
1412	ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks Authors: Haohui Jia; Zheng Chen; Lingwei Zhu; Rikuto Kotoge; Jathurshan Pradeepkumar; Yasuko Matsubara; Jimeng Sun; Yasushi Sakurai; Takashi Matsubara Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: EEG; ODE; Brain network; continuous dynamics
1413	OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens Authors: Konstantin Friedrich Willeke; Polina Turishcheva; Alex Gilbert; Goirik Chakrabarty; Hasan Atakan Bedel; Paul G. Fahey; Yongrong Qiu; Marissa A. Weis; Michaela Vystrčilová; Taliah… Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Scaling laws; Multimodal Transformers; Foundation models; Visual cortex; Neural encoding models; Neural decoding; Behavioral prediction; Calcium imaging
1414	Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks Authors: Mingqing Xiao; Qingyan Meng; Zongpeng Zhang; Di He; Dongsheng Li; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neuromorphic computing; spiking neural networks; non-backpropagation training; biological plausibility; pseudo-zeroth-order
1415	Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models Authors: Larissa Höfling; Matthias Tangemann; Lotta Piefke; Susanne Keller; Matthias Bethge; Katrin Franke Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: brain alignment; benchmarking; representational similarity analysis; video models
1416	PSDNorm: Temporal Normalization for Deep Learning in Sleep Staging Authors: Theo Gnassounou; Antoine Collas; Rémi Flamary; Alexandre Gramfort Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Normalization Layer; Sleep Staging; Optimal Transport
1417	Partial Soft-Matching Distance For Neural Representational Comparison With Partial Unit Correspondence Authors: Chaitanya Kapoor; Alex H Williams; Meenakshi Khosla Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Optimal Transport; Neural Tuning; Representational Similarity; Deep Neural Networks
1418	PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks Authors: Yiting Dong; Jianhao Ding; Zijie Xu; Tong Bu; Zhaofei Yu; Tiejun Huang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Network; Brain inspired; Neuromorphic computing; Unsupervised learning
1419	Pretraining with Re-parametrized Self-Attention: Unlocking Generalizationin SNN-Based Neural Decoding Across Time, Brains, and Tasks Authors: Yuqi Yang; Tengjun Liu; Haiyan Zhang; Wang Ruixue; Xuchao Chen; Mingkang Li; Yansong Chua; Nenggan Zheng; Shaomin Zhang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Brain-Machine Interface; Neural Spike Decoding; Spiking Neural Network; Foundation Model
1420	Read the Room: Video Social Reasoning with Mental-Physical Causal Chains Authors: Lixing Niu; Jiapeng Li; Xingping Yu; Xinyi Dong; Shu Wang; Ruining Feng; Bo Wu; Ping Wei; Yisen Wang; Lifeng Fan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: video question answering; social reasoning; theory of mind; causal chains; read the room
1421	Readout Representation: Redefining Neural Codes by Input Recovery Authors: Shunsuke Onoo; Yoshihiro Nagano; Yukiyasu Kamitani Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neural representation; readout representation; representation size; misrepresentation; neural variability; information recovery; feature inversion; hierarchica…
1422	Reducing Semantic Mismatch in Brain-to-Text Decoding Through Personalized Multimodal Masking Authors: Jiaxuan Chen; Yu Qi; Yueming Wang; Gang Pan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Brain-to-text reconstruction; Neural decoding; Semantic decoding; Multimodal learning
1423	Representational Alignment Across Model Layers and Brain Regions with Multi-Level Optimal Transport Authors: Shaan Shah; Meenakshi Khosla Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Representation Similarity; Representational Alignment
1424	Riemannian High-Order Pooling for Brain Foundation Models Authors: Chen Hu; Ziheng Chen; Rui Wang; Yefeng Zheng; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: EEG; brain-computer interface; representation learning; manifold learning
1425	Robust Selective Activation with Randomized Temporal K-Winner-Take-All in Spiking Neural Networks for Continual Learning Authors: Jiangrong Shen; Liang Zhao; Qi Xu; Yuqi Yang; Liangjun Chen; Gang Pan; Badong Chen Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking neural networks
1426	Robust Spiking Neural Networks Against Adversarial Attacks Authors: Shuai Wang; Malu Zhang; Yulin Jiang; Dehao Zhang; Ammar Belatreche; Yu Liang; Yimeng Shan; Zijian Zhou; Yang Yang; Haizhou Li Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Rubustness
1427	SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network Authors: Huijing Zhang; Muyang Cao; Linshan Jiang; Xin Du; Di Yu; Changze Lv; Shuiguang Deng Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Few-Shot Class-Incremental Learning; Spiking Neural Network; Brain-Inspired Learning; Edge Computing
1428	SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding Authors: Juhyeon Park; Peter Yongho Kim; Jiook Cha; Shinjae Yoo; Taesup Moon Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Brain Decoding; fMRI; Evaluation Metric
1429	SMixer: Rethinking Efficient-Training and Event-Driven SNNs Authors: Yijie Lu; Xinhao Luo; Yixing Zhang; Zhiyan Wang; Wentao Li; YanhanWang; Zhi Liu; Zhaokun Zhou; Guoqi Li Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Network; Efficient Computation; Prune Method
1430	Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors Authors: Puria Radmard; Paul M. Bays; Máté Lengyel Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neuroscience; working memory; recurrent neural networks; diffusion models; behavioral modeling
1431	Spike-based Digital Brain: a novel fundamental model for brain activity analysis Authors: Shaolong Wei; Qiyu Sun; Mingliang Wang; Liang Sun; Weiping Ding; Jiashuang Huang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Brain activity; Fundamental model; Spike computing; fMRI prediction; Brain diseases.
1432	Spiking Discrepancy Transformer for Point Cloud Analysis Authors: Yijie Lu; Zhiyi Pan; Renrui Zhang; Yanhao Jia; Ronggang Wang; Zhaokun Zhou Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Point Cloud Processing; Efficient Computing; Brain-inspired Computing
1433	Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance Authors: Lorenzo Tausani; Paolo Muratore; Morgan Bruce Talbot; Giacomo Amerio; Gabriel Kreiman; Davide Zoccolan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: vision; visual invariance; feature visualization; human-AI alignment; deep convolutional neural networks; NeuroAI; psychophysics; computational neuroscience; r…
1434	TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex Authors: Balázs Meszéna; Keith Thomas Murray; Julien Corbo; O. Batuhan Erkat; Márton A. Hajnal; Pierre-Olivier Polack; Gergo Orban Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: VAE; generative models; biological vision; neuroscience
1435	TP-Spikformer: Token Pruned Spiking Transformer Authors: Wenjie Wei; Xiaolong Zhou; Malu Zhang; Ammar Belatreche; Qian Sun; Yimeng Shan; Dehao Zhang; Zijian Zhou; Zeyu Ma; Yang Yang; Haizhou Li Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Efficient Spiking Neural Network; Pruning Spiking Neural Network
1436	TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction Authors: Stéphane d'Ascoli; Jérémy Rapin; Yohann Benchetrit; Hubert Banville; Jean-Remi King Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: brain; encoding; multimodal
1437	Temporal Slowness in Central Vision Drives Semantic Object Learning Authors: Timothy Schaumlöffel; Arthur Aubret; Gemma Roig; Jochen Triesch Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: bio-inspired learning; human vision; egocentric learning; self-supervised learning
1438	The Human Brain as a Dynamic Mixture of Expert Models in Video Understanding Authors: Christina Sartzetaki; Anne W. Zonneveld; Pablo Oyarzo; Alessandro Thomas Gifford; Radoslaw Martin Cichy; Pascal Mettes; Iris Groen Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: representational alignment; Representational Similarity Analysis; RSA; benchmarking; neuro-AI; video AI; neuroscience; EEG
1439	The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment Authors: Cheng-Yeh Chen; Raghupathy Sivakumar Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: language model; neuroscience; brain alignment; fMRI
1440	Tokenizing Single-Channel EEG with Time-Frequency Motif Learning Authors: Jathurshan Pradeepkumar; Xihao Piao; Zheng Chen; Jimeng Sun Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: EEG; Tokenization; Representation learning; Biosignal Foundation Models
1441	Towards Interpretable Visual Decoding with Attention to Brain Representations Authors: Pinyuan Feng; Hossein Adeli; Wenxuan Guo; Fan L. Cheng; Ethan Hwang; Nikolaus Kriegeskorte Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Brain Decoding; Visual Reconstruction; Interpretability; fMRI; Latent Diffusion Model
1442	Towards Lossless Memory-efficient Training of Spiking Neural Networks via Gradient Checkpointing and Spike Compression Authors: Yifan Huang; Wei Fang; Zecheng Hao; Zhengyu Ma; Yonghong Tian Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Network; Training Memory Optimization; Gradient Checkpointing
1443	Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition Authors: Peiyu Liu; Jianhao Ding; Zhaofei Yu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Normalization; Excitation-Inhibition Balance; Lateral Inhibition
1444	Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion Authors: Yule Wang; Joseph Yu; Chengrui Li; Weihan Li; Anqi Wu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Neural Latent Discovery; Diffusion Models; Visual Cortex
1445	Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning Authors: Zhisheng Chen; Yingwei Zhang; Qizhen Lan; Tianyu Liu; Huacan Wang; Yi Ding; Ziyu Jia; Ronghao Chen; Kun Wang; Xinliang Zhou Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Brain Computer interface; Foundation Model; Electroencephalography
1446	Unified Brain Surface and Volume Registration Authors: Mazdak Abulnaga; Andrew Hoopes; Malte Hoffmann; Robin Magnet; Maks Ovsjanikov; Lilla Zollei; John Guttag; Bruce Fischl; Adrian V Dalca Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neuroimaging; registration; sphere; cortex; mri
1447	Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions Authors: Jian-Qiao Zhu; Hanbo Xie; Dilip Arumugam; Robert Wilson; Thomas L. Griffiths Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: cognitive modeling; verbal theory; risky choice; group-relative policy optimization; supervised fine-tuning; large language model
1448	A Function-Centric Graph Neural Network Approach for Predicting Electron Densities Authors: Manuel V. Klockow; Marc K. Ickler; Peter Lippmann; Fred A. Hamprecht Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Graph Neural Network; Electron Density; Charge Density; Density Functional Theory; Message Passing; Basis Overlap; Equivariance; Molecules; chemistry; biology;…
1449	A Genetic Algorithm for Navigating Synthesizable Molecular Spaces Authors: Alston Lo; Connor W. Coley; Wojciech Matusik Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: synthesizability; molecular design; genetic algorithms; chemistry; biology; etc.)
1450	A New Paradigm for Genome-wide DNA Methylation Prediction Without Methylation Input Authors: Xiaoke Huang; Qi Liu; Yifei Zhao; Xianfeng Tang; Yuyin Zhou; Wenpin Hou Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: DNA Methylation; Deep Learning; Genome; chemistry; biology; etc.)
1451	A Resolution-Agnostic Geometric Transformer for Chromosome Modeling Using Inertial Frame Authors: Yize Zhou; Haorui Li; Shengchao Liu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Chromosome Modeling; Inertial Frame; Resolution-Agnostic; 3D Transformer; AI for Biology; chemistry; biology; etc.)
1452	A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling Authors: Jacob Helwig; Sai Sreeharsha Adavi; Xuan Zhang; Yuchao Lin; Felix S. Chim; Luke Takeshi Vizzini; Haiyang Yu; Muhammad Hasnain; Saykat Kumar Biswas; John J. Holloway; Narendra Sing… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Partial Differential Equations; PDEs; CFD; chemistry; biology; etc.)
1453	ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics Authors: Luke Thompson; Davy Guan; Slade Matthews; Dai Shi; Junbin Gao; Andi Han Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Molecular dynamics; neural operator; transformer; ai for science; equivariant; chemistry; biology; etc.)
1454	Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter Authors: Hong Wang; Jie Wang; Jian Luo; huanshuo dong; Yeqiu Chen; Runmin Jiang; Zhen huang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Data Generation; Eigenvalue Problem; AI4PDE; chemistry; biology; etc.)
1455	Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction Authors: Yuanfang Xiang; Lun Ai Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Genetic Perturbation; Gene Expression Prediction; AI for Biology; Neuro-Symbolic AI; chemistry; biology; etc.)
1456	Adaptive Mamba Neural Operators Authors: Zeyuan Song; Zheyu Jiang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural operator; partial differential equation; adaptive Fourier decomposition; Mamba; chemistry; biology; etc.)
1457	Adaptive Test-Time Training for Predicting Need for Invasive Mechanical Ventilation in Multi-Center Cohorts Authors: Xiaolei Lu; Shamim Nemati Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Test-Time Training; Domain Adaptation; Electronic Health Records; Invasive Mechanical Ventilation Prediction; chemistry; biology; etc.)
1458	Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials Authors: Shi Yin; Zujian Dai; Xinyang Pan; Lixin He Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: AI for Materials; Deep Learning; Electronic-Structure Hamiltonian Prediction; chemistry; biology; etc.)
1459	Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics Authors: Aniketh Iyengar; Jiaqi Han; Pengwei Sun; Mingjian Jiang; Jianwen Xie; Stefano Ermon Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: geometric diffusion models; molecular dynamics; chemistry; biology; etc.)
1460	An Open-Ended Benchmark and Formal Framework for Adjuvant Research with MLLM Authors: yi chen; Yu Zhang; Jian Xu; Hua Yue; Xinming Wang; Zequan Lyu; Xu-Yao Zhang; Wei Wei; Cheng-Lin Liu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Adjuvant; Scientific Benchmarks; Multimodal Large Language Model; chemistry; biology; etc.)
1461	AntigenLM: Structure-Aware DNA Language Modeling for Influenza Authors: Yue Pei; Xuebin Chi; Yu Kang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Influenza A; DNA; Genome; Language Model; Foundation Model; chemistry; biology; etc.)
1462	Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs with Application to Glucose Prediction Authors: Bob Junyi Zou; Lu Tian Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Predictive Sparsity; Hybrid Neural ODE; Group LASSO; Glucose Prediction; chemistry; biology; etc.)
1463	Bayesian Parameter Shift Rules in Variational Quantum Eigensolvers Authors: Samuele Pedrielli; Christopher J. Anders; Lena Funcke; Karl Jansen; Kim Andrea Nicoli; Shinichi Nakajima Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: parameter shift rule; variational quantum eigensolver; quantum computing; confidence region; Gaussian process; chemistry; biology; etc.)
1464	Bayesian Post Training Enhancement of Regression Models with Calibrated Rankings Authors: Kevin Tirta Wijaya; Bing Xu Hu; Hans-peter Seidel; Wojciech Matusik; Vahid Babaei Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: post training; regression enhancement; calibrated rankings; chemistry; biology; etc.)
1465	Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent Space Authors: Aditya Sengar; Jiying Zhang; Pierre Vandergheynst; PATRICK BARTH Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: representation learning; generative models; latent space dynamics; score-based generative models; dynamical systems; GNNs; autoregressive models; chemistry; bi…
1466	Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction Authors: Bin Cao; Yang Liu; Longhan Zhang; Yifan Wu; Zhixun Li; Yuyu Luo; Hong Cheng; Yang Ren; Tongyi ZHANG Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Crystal representation; Invariance; Pseudo-Particle; Diffraction; Reciprocal space; Long-term interaction; chemistry; biology; etc.)
1467	BioBO: Biology-informed Bayesian Optimization for Perturbation Design Authors: Yanke Li; Tianyu Cui; Tommaso Mansi; Mangal Prakash; Rui Liao Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Bayesian optimization; Biological priors; Perturbation design; chemistry; biology; etc.)
1468	BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Models Authors: Ziheng Zhang; Xinyue Ma; Arpita Chowdhury; Elizabeth G Campolongo; Matthew J Thompson; Net Zhang; Samuel Stevens; Hilmar Lapp; Tanya Berger-Wolf; Yu Su; Wei-Lun Chao; Jianyang Gu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: AI for biology; foundation models; synthetic captions; chemistry; biology; etc.)
1469	BioMD: All-atom Generative Model for Biomolecular Dynamics Simulation Authors: Bin Feng; Jiying Zhang; Xinni Zhang; Zijing Liu; Yu Li Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: molecular dynamics; biomolecular trajectories generation; chemistry; biology; etc.)
1470	BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Management Authors: Kevin Bradley Dsouza; Enoch Ofosu; Daniel Chukwuemeka Amaogu; Jérôme Pigeon; Richard Boudreault; Pooneh Maghoul; Juan Moreno-Cruz; Yuri Leonenko Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Multi-Objective Reinforcement Learning (MORL); RL environments; Climate-adaptive forest management; Boreal forests; Permafrost thaw; Carbon sequestration; Proc…
1471	Branched Schrödinger Bridge Matching Authors: Sophia Tang; Yinuo Zhang; Alexander Tong; Pranam Chatterjee Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Schrödinger bridges; branched generative modeling; stochastic optimal control; unbalanced optimal transport; flow matching; trajectory inference; stochastic pr…
1472	Breaking Scale Anchoring: Frequency Representation Learning for Accurate High-Resolution Inference from Low-Resolution Training Authors: Wenshuo Wang; Fan Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Scale Anchoring; Zero-Shot Super-Resolution; Spatiotemporal Forecasting; Frequency Representation; chemistry; biology; etc.)
1473	Buckingham $\pi$-Invariant Test‑Time Projection for Robust PDE Surrogate Modeling Authors: Seokki Lee; Min-Chul Park; Giyong Hong; Changwook Jeong Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Buckingham-pi; PDE; model-agnostic; chemistry; biology; etc.)
1474	CARL: Preserving Causal Structure in Representation Learning Authors: Yulong Li; Xiwei Liu; Feilong Tang; Zhixiang Lu; Ming Hu; Yichen Li; Haochen Xue; Peixin Guo; Jionglong Su; Yutong Xie; Eran Segal; Imran Razzak Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Structure-preserving Constraints; Representation Learning; chemistry; biology; etc.)
1475	CDBridge: A Cross-omics Post-training Bridge Strategy for Context-aware Biological Modeling Authors: Chang Yu; Siyuan Li; Zicheng Liu; Jingbo Zhou; Xianglong Guo; Kai Yu; Yuqing Zhou; Ken Li; Zelin Zang; Zhen Lei; Stan Z. Li Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: AI4S; Cross-omics; Central Dogma modeling; Foundation models; chemistry; biology; etc.)
1476	CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators Authors: Xianglong Hou; Xinquan Huang; Paris Perdikaris Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural PDE Solver; Operator Learning; Flow Matching; Machine Learning; Long Rollouts; chemistry; biology; etc.)
1477	CP-Agent: Context‑Aware Multimodal Reasoning for Cellular Morphological Profiling under Chemical Perturbations Authors: Yuxin Zhang; Yiyao Li; Ping Shu Ho; Simon See; Zhenqin Wu; Kevin Kin-Man Tsia Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Cell painting microscopy; Biomedicine; Multimodal reasoning; LLM; Agent; chemistry; biology; etc.)
1478	CRONOS: Continuous time reconstruction for 4D medical longitudinal series Authors: Nico Disch; Saikat Roy; Constantin Ulrich; Yannick Kirchhoff; Maximilian Rouven Rokuss; Robin Peretzke; David Zimmerer; Klaus Maier-Hein Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Medical Imaging; Flow Matching Longitudinal; Spatio-Temporal; Trajectory Learning; chemistry; biology; etc.)
1479	CatalystBench: A Comprehensive Multi-Task Benchmark for Advancing Language Models in Catalysis Science Authors: Xueqing Chen; Jian Xu; Ludi Wang; Yang Gao; Huihan Zhu; Yuanchun Zhou; Yi Du; Cheng-Lin Liu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Scientific Benchmark; AI for Science; Catalyst Design; Large Language Models; Multi-task Learning; Domain Adaptation; chemistry; biology; etc.)
1480	CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis Authors: Yihang Xiao; Jinyi Liu; YAN ZHENG; Shaoqing Jiao; Jianye HAO; Xiaohan Xie; Limingzhi; Ruitao Wang; Fei Ni; Yuxiao Li; Zhen Wang; Xuequn Shang; Zhijie Bao; Changxiao Yang; Jiajie P… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Large Language Models; LLM Agent; Single-cell RNA sequencing; Spatial transcriptomics; chemistry; biology; etc.)
1481	CellDuality: Unlocking Biological Reasoning in LLMs with Self-Supervised RLVR Authors: Yuhang Chen; Zhen Tan; Ruichen Zhang; Mufan Qiu; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Reinforcement Learning; Biological Reasoning; Foundation Models; Single-Cell Biology; chemistry; biology; etc.)
1482	CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions Authors: Yu-Liang Zhan; Jian Li; Wenbing Huang; Yang Liu; Hao Sun Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural Dynamic Simulation; Visual Dynamics Grounding; Unsupervised Learning; chemistry; biology; etc.)
1483	ComPhy: Composing Physical Models with end-to-end Alignment Authors: Alessandro Trenta; Andrea Cossu; Davide Bacciu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Learning physics; Physical systems; Partial differential equations; Systems of PDEs; chemistry; biology; etc.)
1484	Constrained Diffusion for Protein Design with Hard Structural Constraints Authors: Jacob K Christopher; Austin Seamann; Jingyi Cui; Sagar D Khare; Ferdinando Fioretto Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Constrained Diffusion; Generative Models; Protein Design; Proximal Optimization; Motif Scaffolding; chemistry; biology; etc.)
1485	Continuum Transformers Perform In-Context Learning by Operator Gradient Descent Authors: Yash Patel; Abhiti Mishra; Ambuj Tewari Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: neural operators; in-context learning; continuum transformers; chemistry; biology; etc.)
1486	Controllable Sequence Editing for Biological and Clinical Trajectories Authors: Michelle M Li; Kevin Li; Yasha Ektefaie; Ying Jin; Yepeng Huang; Shvat Messica; Tianxi Cai; Marinka Zitnik Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: conditional generation; sequence editing; time series forecasting; counterfactual prediction; multivariate sequences; concept-based learning; longitudinal mode…
1487	Controllable diffusion-based generation for multi-channel biological data Authors: Haoran Zhang; Mingyuan Zhou; Wesley Tansey Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: diffusion model; conditional imputation; channel attention; random-masking guidance; imaging mass cytometry; chemistry; biology; etc.)
1488	Controlling Repetition in Protein Language Models Authors: Jiahao Zhang; ZEQING ZHANG; Di Wang; Lijie Hu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Protein Language Models; Interpretability; chemistry; biology; etc.)
1489	Count Bridges enable Modeling and Deconvolving Transcriptomic Data Authors: Nic Fishman; Gokul Gowri; Tanush Kumar; Jiaqi Lu; Valentin De Bortoli; Jonathan S. Gootenberg; Omar Abudayyeh Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: ordinal data; diffusion; schrodinger bridge; flow matching; single cell genomics; spatial transcriptomics; chemistry; biology; etc.)
1490	CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models Authors: Weining Fu; Kai Shu; Kui Xu; Qiangfeng Cliff Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: cryo-EM; structural biology; foundation model; JEPA; SCUNet; chemistry; biology; etc.)
1491	CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map Restraints Authors: Fuyao Huang; Xiaozhu Yu; Kui Xu; Qiangfeng Cliff Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Protein structure refinement; Cryo-electron microscopy; Deep learning; Density-guided refinement; Geometric restraints; Diffusion model; chemistry; biology; et…
1492	CryoSplat: Gaussian Splatting for Cryo-EM Homogeneous Reconstruction Authors: Suyi Chen; Haibin Ling Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Cryo-EM; 3D Reconstruction; Gaussian Mixture Model; chemistry; biology; etc.)
1493	DGNet: Discrete Green Networks for Data-Efficient Learning of Spatiotemporal PDEs Authors: Yingjie Tan; Quanming Yao; Yaqing Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Partial Differential Equations; Data-efficient learning; Graph Neural Networks; Physics-Informed Machine Learning; Generalization; chemistry; biology; etc.)
1494	DRIFT-Net: A Spectral-Coupled Neural Operator for PDEs Learning Authors: Jiayi Li; Flora D. Salim Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: PDE; neural operators; neural solvers; chemistry; biology; etc.)
1495	Deep Learning for Subspace Regression Authors: Vladimir Fanaskov; Vladislav Trifonov; Alexander Rudikov; Ekaterina Muravleva; Ivan Oseledets Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: grassmannian; regression; subspace regression; supervised learning; ROM; POD; optimal control; balanced truncation; parametric PDEs; eigenproblems; deflated co…
1496	DeepSADR: Deep Transfer Learning with Subsequence Interaction and Adaptive Readout for Cancer Drug Response Prediction Authors: Yuanpeng Zhang; Zhijian Huang; Ziyu Fan; Siyuan Shen; Yahan Li; Shangqian Wu; Min Wu; Lei Deng Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: adaptive readout; subsequence interaction; drug response; cancer patient; chemistry; biology; etc.)
1497	Disco: Densely-overlapping Cell Instance Segmentation via Adjacency-aware Collaborative Coloring Authors: Rui Sun; Yiwen Yang; Kaiyu Guo; Chen Jiang; Dongli Xu; Zhaonan Liu; Tan Pan; LIMEI HAN; Xue Jiang; Wu Wei; Yuan Cheng Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Cell Instance Segmentation; Digital Pathology; Graph Coloring; Topological Analysis; Conflict Resolution; chemistry; biology; etc.)
1498	Disentangled Representation Learning for Parametric Partial Differential Equations Authors: Ning Liu; Lu Zhang; Tian Gao; Yue Yu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural Operators; Physics Discovery; Inverse Problems; chemistry; biology; etc.)
1499	DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials Authors: Kevin Han; Bowen Deng; Amir Barati Farimani; Gerbrand Ceder Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: machine learning interatomic potential; molecular dynamics; atomistic simulation; chemistry; biology; etc.)
1500	Distilling Causal Signals for One-Shot Directed Evolution of Antibodies Authors: Sai Pooja Mahajan; Natasa Tagasovska; Stefania Vasilaki; Arian Rokkum Jamasb; Andrew Martin Watkins; Rajesh Ranganath Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: One-shot learning; matching; directed evolution; antibodies; structure-embeddings; causal learning; OOD generalization; chemistry; biology; etc.)
1501	Distilling and Adapting: A Topology-Aware Framework for Zero-Shot Interaction Prediction in Multiplex Biological Networks Authors: Alana Deng; Sugitha Janarthanan; Yan Sun; Zihao Jing; Pingzhao Hu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Graph representation learning; contrastive learning; multiplex networks; knowledge distillation; zero-shot prediction; chemistry; biology; etc.)
1502	Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation Authors: Changxi Chi; Jun Xia; Yufei Huang; Zhuoli Ouyang; Cheng Tan; Yunfan Liu; Jingbo Zhou; Chang Yu; Liangyu Yuan; Siyuan Li; Zelin Zang; Stan Z. Li Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: unpair transition; diffusion; Single-Cell Perturbation; chemistry; biology; etc.)
1503	DrugTrail: Interpretable Drug Discovery via Structured Reasoning and Druggability‑Tailored Preference Optimization Authors: Yurou Liu; Mingyang Li; Xinyuan Zhu; Rui Jiao; Yiming Dong; Xinyu Tang; Yang Liu; Jieping Ye; Bing Su; Zheng Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: LLM-based drug discovery; Explainability; Structured reasoning; Druggability‑tailored preference optimization; chemistry; biology; etc.)
1504	Drugging the Undruggable: Benchmarking and Modeling Fragment-Based Screening Authors: Haichuan Tan; Bowen Gao; Jiaxin Li; Yinjun Jia; Wenyu Zhu; Wenxuan Xie; Yihong Liu; Yanwen Huang; Jianhui Wang; Yuanhuan Mo; Ya-Qin Zhang; Wei-Ying Ma; Yanyan Lan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Drug Discovery; Representation Learning; Virtual Screening; fragment-based drug design; chemistry; biology; etc.)
1505	EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph Authors: Nan Jiang; Ziyi Wang; Yexiang Xue Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Symbolic Regression; symbolic equivalence; Monte Carlo Tree Search; Deep Reinforcement Learning; Large Language Model; chemistry; biology; etc.)
1506	Efficient Prediction of Large Protein Complexes via Subunit-Guided Hierarchical Refinement Authors: Chixiang Lu; Yunhua Zhong; Shikang Liang; Xiaojuan Qi; Haibo Jiang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Protein complex structure prediction; AlphaFold3; complex modularity; chemistry; biology; etc.)
1507	Efficient Regression-based Training of Normalizing Flows for Boltzmann Generators Authors: Danyal Rehman; Oscar Davis; Jiarui Lu; Jian Tang; Michael M. Bronstein; Yoshua Bengio; Alexander Tong; Joey Bose Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Normalizing Flows; Generative Models; Optimal Transport; Flow Matching; AI for Science; chemistry; biology; etc.)
1508	Eigen-Agent: Adaptive Multi-Agent Scientific Reasoning with Monitor-Based RAG Authors: Xiangru Tang; Wanghan Xu; Yujie Wang; Zijie Guo; Yanjun Shao; Cixuan Zhang; Ziyi Wang; Lixin Zhang; Guancheng Wan; Zhenfei Yin; Wenlong Zhang; LEI BAI; Philip Torr; Hanrui Wang; D… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: LLM Agents; Reasoning; chemistry; biology; etc.)
1509	Einstein Fields: A Neural Perspective To Computational General Relativity Authors: Sandeep Suresh Cranganore; Andrei Bodnar; Arturs Berzins; Johannes Brandstetter Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: neural fields (implicit neural representations); neural compression; tensor fields; differential geometry; general relativity (GR) and numerical relativity (NR…
1510	End-to-End Probabilistic Framework for Learning with Hard Constraints Authors: Utkarsh Utkarsh; Danielle C. Maddix; Ruijun Ma; Michael W. Mahoney; Bernie Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: scientific machine learning; conservation laws; physically constrained machine learning; partial differential equations; time series forecasting; uncertainty q…
1511	Enhancing Diffusion-Based Sampling with Molecular Collective Variables Authors: Juno Nam; Bálint Máté; Artur P. Toshev; Manasa Kaniselvan; Rafael Gomez-Bombarelli; Ricky T. Q. Chen; Brandon M. Wood; Guan-Horng Liu; Benjamin Kurt Miller Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: diffusion sampler; generative modeling; conformational sampling; enhanced sampling; collective variables; free energy methods; chemistry; biology; etc.)
1512	Enhancing Molecular Property Predictions by Learning from Bond Modelling and Interactions Authors: Yunqing LIU; Yi Zhou; Wenqi Fan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Molecule Representation Learning; Bond Modelling; Molecule Property Prediction; chemistry; biology; etc.)
1513	Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding Authors: Zihao Jing; QIUHAO Zeng; Ruiyi Fang; Yan Sun; Boyu Wang; Pingzhao Hu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Multimodal Modeling; Graph–LLM Alignment; Molecule Understanding; Backbone-Free Tuning; chemistry; biology; etc.)
1514	Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs Authors: Cheng Jing; Uvini Balasuriya Mudiyanselage; Abhishek Verma; Kallol Bera; Shahid Rauf; Kookjin Lee Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: neural operators; Fourier neural operators; parameterized dynamics; couple; chemistry; biology; etc.)
1515	FACET: A Fragment-Aware Conformer Ensemble Transformer Authors: Duy Minh Ho Nguyen; Trung Quoc Nguyen; Ha Thi Hong Le; Mai Thanh Nhat Truong; TrungTin Nguyen; Nhat Ho; Khoa D Doan; Duy Duong-Tran; Li Shen; Daniel Sonntag; James Zou; Mathias Ni… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: molecular properties prediction; 3D conformers; graph transformer; 2D-3D fusion; fragment aware module; Fused Gromov-Wasserstein distance; chemistry; biology;…
1516	FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics Authors: David Keetae Park; Shuhang Li; Yi Huang; Xihaier Luo; Haiwang Yu; Yeonju Go; Christopher Pinkenburg; Yuewei Lin; Shinjae Yoo; Joseph D. Osborn; Jin Huang; Yihui Ren Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Foundation Model; State Space Model; Neural Scaling; Particle Tracking; Nuclear Physics; Particle Physics; chemistry; biology; etc.)
1517	Fast Convergence of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks Authors: Xianliang Xu; Wang Kong; JiahengM; Zhongyi Huang; Ye Li Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: natural gradient descent; over-parameterization; physics-informed neural networks; neural tangent kernel; chemistry; biology; etc.)
1518	Fast and Interpretable Protein Substructure Alignment via Optimal Transport Authors: Zhiyu Wang; Bingxin Zhou; Weishu Zhao; Yang Tan; Jing Wang; Pietro Lio; Liang Hong Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Protein substructure alignment; Residue-level representation; Optimal transport; Deep learning; Structural bioinformatics; chemistry; biology; etc.)
1519	FlexRibbon: Joint Sequence and Structure Pretraining for Protein Modeling Authors: Jianwei Zhu; Yu Shi; Ran Bi; Peiran Jin; Chang Liu; Zhe Zhang; Haitao Huang; Zekun Guo; Pipi Hu; Fusong Ju; Lin Huang; Xinwei Tai; Chenao Li; Kaiyuan Gao; Xinran Wei; Huanhuan Xia… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Protein Design; Protein Foundation Model; Diffusion; chemistry; biology; etc.)
1520	Flow Autoencoders are Effective Protein Tokenizers Authors: Rohit Dilip; Evan Zhang; Ayush Varshney; David Van Valen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: flow tokenizers; proteins; generation; chemistry; biology; etc.)
1521	FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching Authors: Bernardo Perrone Ribeiro; Jana Faganeli Pucer Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: conditional flow matching; precipitation nowcasting; generative models; spatiotemporal forecasting; machine learning in environmental science; chemistry; biolo…
1522	FlowSymm: Physics–Aware, Symmetry–Preserving Graph Attention for Network Flow Completion Authors: Ege Demirci; Francesco Bullo; Ananthram Swami; Ambuj Singh Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: graphs; networks; flow graphs; graph attention networks; group action; bilevel-optimization; physics-aware graph neural networks; chemistry; biology; etc.)
1523	FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching Authors: Joongwon Lee; Seonghwan Kim; Seokhyun Moon; Hyunwoo Kim; Woo Youn Kim Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Molecular Graph Generation; Discrete Flow Matching; Fragment-Based Drug Discovery (FBDD); Natural Products; chemistry; biology; etc.)
1524	From Cheap Geometry to Expensive Physics: A Physics-agnostic Pretraining Framework for Neural Operators Authors: Zhizhou Zhang; Youjia Wu; Kaixuan Zhang; Yanjia Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural Operator; Pretraining; Physics-agnostic; Partial Differential Equation; Autoencoder; chemistry; biology; etc.)
1525	From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning Authors: Cheng Yang; Jiaxuan Lu; Haiyuan Wan; Junchi Yu; Feiwei Qin Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: chemistry; biology; etc.)
1526	From atom to space: A region-based readout function for spatial properties of materials Authors: Jiawen Zou; Weimin Tan; Zhongyao Wang; Hao Qi; Bo Yan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: porous material; metal organic framework; readout function; graph neural network; material property prediction; chemistry; biology; etc.)
1527	GAGA: Gaussianity-Aware Gaussian Approximation for Efficient 3D Molecular Generation Authors: Jingxiang Qu; Wenhan Gao; Ruichen Xu; Yi Liu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Gaussian approximation; trajectory truncation; efficient generation; 3D molecular generation; chemistry; biology; etc.)
1528	GALAX: Graph-Augmented Language Model for Explainable Reinforcement-Guided Subgraph Reasoning in Precision Medicine Authors: Heming Zhang; Di Huang; Wenyu Li; Michael A Province; Yixin Chen; Philip Payne; Fuhai Li Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Reinforcement Learning; Large Language Model (LLM); Text-Numeric Graph (TNG); Multi-Omics Integration; Explainability; chemistry; biology; etc.)
1529	GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care Authors: Yanke Li; Ruirui Wang; Manuel Günther; Diego Paez-Granados Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: irregular multivariate time series; graph neural network; deep learning for health; intensive care unit; explainability; chemistry; biology; etc.)
1530	GRAM-DTI: Adaptive Multimodal Representation Learning for Drug–Target Interaction Prediction Authors: Feng Jiang; Amina Mollaysa; Hehuan Ma; Yuzhi Guo; Tommaso Mansi; Junzhou Huang; Mangal Prakash; Rui Liao Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Drug-target interaction prediction; Multimodal representation learning; Adaptive modality dropout; chemistry; biology; etc.)
1531	GenCP: Towards Generative Modeling Paradigm of Coupled physics Authors: Tianrun Gao; Haoren Zheng; Wenhao Deng; Haodong Feng; Tao Zhang; Ruiqi Feng; Qianyi Chen; Tailin Wu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Coupled Physics Simulation; Flow Matching; Operator Splitting; Joint Sampling; chemistry; biology; etc.)
1532	GeoFAR: Geography-Informed Frequency-Aware Super-Resolution for Climate Data Authors: Chang Xu; Gencer Sumbul; Li Mi; Robin Zbinden; Devis Tuia Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: climate downscaling; image super-resolution; implicit neural representation; earth observation; environmental science; chemistry; biology; etc.)
1533	Geometric Graph Neural Diffusion for Stable Molecular Dynamics Simulations Authors: Haokai Hong; Wanyu Lin; Zhang Chusong; KC Tan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Machine learning force field; graph neural network; chemistry; biology; etc.)
1534	Glance and Focus Reinforcement for Pan-cancer Screening Authors: Linshan Wu; Jia-Xin Zhuang; Hao Chen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Pan-cancer screening; AI for healthcare; chemistry; biology; etc.)
1535	Global and Local Topology-Aware Graph Generation via Dual Conditioning Diffusion Authors: Yuhang Xie; Sinno Jialin Pan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: generative model; AI for science; conditioning method; chemistry; biology; etc.)
1536	Graph Diffusion Transformers are In-Context Molecular Designers Authors: Gang Liu; Jie Chen; Yihan Zhu; Michael Sun; Tengfei Luo; Nitesh V Chawla; Meng Jiang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Inverse Molecular Design; In Context Learing; Diffusin Models; Transformers; chemistry; biology; etc.)
1537	Greater than the Sum of Its Parts: Building Substructure into Protein Encoding Models Authors: Robert Calef; Arthur Liang; Manolis Kellis; Marinka Zitnik Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Protein; biology; representation learning; benchmark; multiscale protein models; structure representation learning; substructures; motifs; domain; protein func…
1538	HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data Authors: Hiren Madhu; João Felipe Rocha; Tinglin Huang; Siddharth Viswanath; Smita Krishnaswamy; Rex Ying Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Pretrained models; Spatial transcriptomics; AI for Science; chemistry; biology; etc.)
1539	HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series Authors: Simon A. Lee; Cyrus Tanade; Hao Zhou; Juhyeon Lee; Megha Thukral; Md Sazzad Hissain Khan; Keum San Chun; Baiying Lu; Migyeong Gwak; Mehrab Bin Morshed; Viswam Nathan; Md Mahbubur… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: SSL; Wearables; Interpretability; Inductive Bias; chemistry; biology; etc.)
1540	High-dimensional Mean-Field Games by Particle-based Flow Matching Authors: Jiajia Yu; Junghwan Lee; Yao Xie; Xiuyuan Cheng Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: mean-field games; particle-based; flow matching; simulation-free; chemistry; biology; etc.)
1541	HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction Authors: Susu Hu; Qinghe Zeng; Nithya Bhasker; Jakob Nikolas Kather; Stefanie Speidel Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: spatial transcriptomics; pan-cancer modeling; pathway-level coherence; computational efficiency; chemistry; biology; etc.)
1542	I2Mole: Interaction-aware Invariant Molecular Learning For Generalizable Property Prediction Authors: Wenjie Du; Jiahui Zhang; Xuqiang Li; Sihan Wang; Zhengyang Zhou; hongxin xiang; Jun Xia; Ye Wei; Yang Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Molecular relationship learning; Drug-drug interaction; graph information bottleneck; chemistry; biology; etc.)
1543	IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra Authors: Heewoong Noh; Namkyeong Lee; Gyoung S. Na; Kibum Kim; Chanyoung Park Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: LLM Agent; Infrared Spectroscopy; Structure Elucidation; chemistry; biology; etc.)
1544	Improving Extreme Wind Prediction with Frequency-Informed Learning Authors: Chenrui Xu; Xi Huang; Ying-Jun Angela Zhang; Jianwei Huang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Extreme Weather Forecasting; Meteorological Analysis; AI for Science; chemistry; biology; etc.)
1545	Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics Authors: Tai Hoang; Alessandro Trenta; Alessio Gravina; Niklas Freymuth; Philipp Becker; Davide Bacciu; Gerhard Neumann Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Graph Neural Simulators; Long-range interactions; Learning Simulators; AI4Science; chemistry; biology; etc.)
1546	Incomplete Data, Complete Dynamics: A Diffusion Approach Authors: Zihan Zhou; Chenguang Wang; Hongyi Ye; Yongtao Guan; Tianshu Yu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: diffusion models; missing data; chemistry; biology; etc.)
1547	Interpolation-Based Conditioning of Flow Matching Models for Bioisosteric Ligand Design Authors: Yael Ziv; Martin Buttenschoen; Lukas Scheibelberger; Brian Marsden; Charlotte Deane Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: drug discovery; 3D molecule generation; bioisosteric fragment merging; conditional generation; flow matching; generative models; chemistry; biology; etc.)
1548	Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design Authors: Xingyu Su; Xiner Li; Masatoshi Uehara; Sunwoo Kim; Yulai Zhao; Gabriele Scalia; Ehsan Hajiramezanali; Tommaso Biancalani; Degui Zhi; Shuiwang Ji Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Biomolecular Design; Diffusion Models; chemistry; biology; etc.)
1549	KANO: Kolmogorov-Arnold Neural Operator Authors: Jin Lee; Ziming Liu; Xinling Yu; Yixuan Wang; Haewon Jeong; Murphy Yuezhen Niu; Zheng Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural Operator; Operator Network; KAN; SciML; AI4Science; Interpretable AI; chemistry; biology; etc.)
1550	KGOT: Unified Knowledge Graph and Optimal Transport Pseudo-Labeling for Molecule-Protein Interaction Prediction Authors: Jiayu Qin; Zhengquan Luo; Guy Tadmor; Changyou Chen; David Zeevi; zhiqiang xu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Knowledge graph; molecule protein interaction; optimal transport; chemistry; biology; etc.)
1551	Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine Authors: Michael S Yao; Osbert Bastani; Alma Andersson; Tommaso Biancalani; Aicha BenTaieb; Claudia Iriondo Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Large language models; Personalized medicine; Black-box optimization; Distribution shift; chemistry; biology; etc.)
1552	LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations Authors: Pengpeng Xiao; Phillip Si; Peng Chen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Data Assimilation; Latent Dynamics; Physical Models; chemistry; biology; etc.)
1553	La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching Authors: Tomas Geffner; Kieran Didi; Zhonglin Cao; Danny Reidenbach; Zuobai Zhang; Christian Dallago; Emine Kucukbenli; Karsten Kreis; Arash Vahdat Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Atomistic protein design; flow matching; latent diffusion; motif scaffolding; chemistry; biology; etc.)
1554	Learning Collective Variables from BioEmu with Time-Lagged Generation Authors: Seonghyun Park; Kiyoung Seong; Soojung Yang; Rafael Gomez-Bombarelli; Sungsoo Ahn Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: collective variables; molecular dynamics; protein; enhanced samplings; chemistry; biology; etc.)
1555	Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge Authors: Siying Ma; Mehrdad Momeni Zadeh; Mauricio Soroco; Wuyang Chen; Jiguo Cao; Vijay Ganesh Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural Operator; PDE; Fundamental Physics Knowledge; chemistry; biology; etc.)
1556	Learning Escorted Protocols For Multistate Free-Energy Estimation Authors: Lars Holdijk; Nithishwer Mouroug Anand; Michael M. Bronstein; Max Welling Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Free-Energy; Jarzynski Equality; Crooks Fluctuation Theorem; Non-Equilibrium; Transport; Thermodynamics; Stochastic Thermodynamics; Flow Matching; chemistry; b…
1557	Learning Flexible Forward Trajectories for Masked Molecular Diffusion Authors: Hyunjin Seo; Taewon Kim; Sihyun Yu; Sungsoo Ahn Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Molecule Generation; Masked Diffusion Models; Molecule Diffusion Models; chemistry; biology; etc.)
1558	Learning Molecular Chirality via Chiral Determinant Kernels Authors: Runhan Shi; Zhicheng Zhang; Letian Chen; Gufeng Yu; Yang Yang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: chirality; molecular representation learning; axial chirality; chemistry; biology; etc.)
1559	Learning from the Electronic Structure of Molecules across the Periodic Table Authors: Manasa Kaniselvan; Benjamin Kurt Miller; Meng Gao; Juno Nam; Daniel S. Levine Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Interatomic potentials; electronic structure; materials science; chemistry; biology; etc.)
1560	Learning residue level protein dynamics with multiscale Gaussians Authors: Mihir Bafna; Bowen Jing; Bonnie Berger Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: protein dynamics; flexibility; ensembles; chemistry; biology; etc.)
1561	Leveraging Discrete Function Decomposability for Scientific Design Authors: James C Bowden; Sergey Levine; Jennifer Listgarten Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: scientific; protein; design; generative model; decomposability; chemistry; biology; etc.)
1562	Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving Authors: Alexander Rudikov; Vladimir Fanaskov; Sergei Stepanov; Buzheng Shan; Ekaterina Muravleva; Yalchin Efendiev; Ivan Oseledets Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural Operators; heterogeneous PDEs; scientific machine learning; Generalized Multiscale Finite Element Method; localized spectral basis functions; chemistry;…
1563	Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs Authors: Kai Zhuang; Jiawei Zhang; Yumou Liu; Hanqun Cao; Chunbin Gu; Mengdi Liu; Zhangyang Gao; Zitong Jerry Wang; Xuanhe Zhou; Pheng-Ann Heng; Lijun Wu; Conghui He; Cheng Tan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Biomolecular learning; Protein sequence; chemistry; biology; etc.)
1564	MAC-AMP: A Closed-Loop Multi-Agent Collaboration System for Multi-Objective Antimicrobial Peptide Design Authors: Gen Zhou; Sugitha Janarthanan; Lianghong Chen; Pingzhao Hu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Multi-agent system; Antimicrobial peptides; Multi-objective optimization; AI-simulated peer review; Reinforcement learning; chemistry; biology; etc.)
1565	MATHMO: Automated Mathematical Modeling Through Adaptive Search Authors: Tennison Liu; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: automated modeling; autoformulation; chemistry; biology; etc.)
1566	MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning Authors: Peng Xia; Jinglu Wang; Yibo Peng; Kaide Zeng; Zihan Dong; Xian Wu; Xiangru Tang; Hongtu Zhu; Yun Li; Linjun Zhang; Shujie LIU; Yan Lu; Huaxiu Yao Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: med-vlm; multi-agent collaboration; multimodal medical reasoning; medical vqa; reinforcement learning; chemistry; biology; etc.)
1567	Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Authors: Yong Chu; Xun Zhou; Zenglin Xu; Hui Wang; Yue Yu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Wireless Localization; Foundation Models; Self-Supervised Learning; Fine-Tuning; 6G Networks; chemistry; biology; etc.)
1568	MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models Authors: Kacper Kapuśniak; Cristian Gabellini; Michael M. Bronstein; Prudencio Tossou; Francesco Di Giovanni Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: molecular dynamics; generative models; proteins; flow matching; markov state models; chemistry; biology; etc.)
1569	MatRIS: Toward Reliable and Efficient Pretrained Machine Learning Interatomic Potentials Authors: Yuanchang Zhou; Siyu Hu; Xiangyu Zhang; Hongyu Wang; Guangming Tan; Weile Jia Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Foundation Machine Learning Interatomic Potentials; Training Efficiency; Accuracy; chemistry; biology; etc.)
1570	MoMa: A Simple Modular Learning Framework for Material Property Prediction Authors: Botian Wang; Yawen Ouyang; Yaohui Li; Mianzhi Pan; yuanhang tang; Haorui Cui; Yiqun Wang; Jianbing Zhang; Xiaonan Wang; Wei-Ying Ma; Hao Zhou Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: material property prediction; modular deep learning; AI4Materials; chemistry; biology; etc.)
1571	Multi-state Protein Sequence Design with DynamicMPNN Authors: Alex Abrudan; Sebastian Pujalte Ojeda; Chaitanya K. Joshi; Matthew Greenig; Felipe Engelberger; Alena Khmelinskaia; Jens Meiler; Michele Vendruscolo; Tuomas Knowles Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Protein Design; AI; BioML; Protein Dynamics; Multi-state proteins; GNN; chemistry; biology; etc.)
1572	Nef-Net v2: Adapting Electrocardio Panorama in the wild Authors: Zehui Zhan; Yaojun Hu; Jiajing Zhang; Wanchen Lian; Wanqing Wu; Jintai Chen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: ECG representation; Cardiac Diagnosis; chemistry; biology; etc.)
1573	OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction Authors: Emily Jin; Andrei Cristian Nica; Mikhail Galkin; Jarrid Rector-Brooks; Kin Long Kelvin Lee; Santiago Miret; Frances H. Arnold; Michael M. Bronstein; Joey Bose; Alexander Tong; Che… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Crystal structure prediction; Diffusion models for computational chemistry; AI for science; chemistry; biology; etc.)
1574	Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation Authors: Zhiwang Zhou; Yuandong Pu; Xuming He; Yidi Liu; Yixin Chen; Junchao Gong; Xiang Zhuang; Wanghan Xu; Qinglong Cao; SHIXIANG TANG; Yihao Liu; Wenlong Zhang; LEI BAI Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: AI for Science; Unified foundation model; Interpretable reasoning; chemistry; biology; etc.)
1575	OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis Authors: Tianwei Lin; Zhongwei Qiu; Wenqiao Zhang; Jiang Liu; Yihan Xie; Mingjian Gao; Zhenxuan Fan; Zhaocheng Li; Sijing Li; Zhongle Xie; Peng LU; Yueting Zhuang; Ling Zhang; Beng Chin Oo… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Medical foundation model; Vision-language modeling; CT; VLM; chemistry; biology; etc.)
1576	OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning Authors: Kevin Valencia; Thilina Balasooriya; Xihaier Luo; Shinjae Yoo; David Keetae Park Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Conditioned Neural Fields; Multimodal Learning; Spatiotemporal Learning; Scientific Data; Neural Fields; chemistry; biology; etc.)
1577	One protein is all you need Authors: Anton Bushuiev; Roman Bushuiev; Olga Pimenova; Nikola Zadorozhny; Raman Samusevich; Elisabet Manaskova; Rachel Seongeun Kim; Hannes Stark; Jiri Sedlar; Martin Steinegger; Tomas Pl… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: proteins; generalization; self-supervised learning; model customization; test-time training; chemistry; biology; etc.)
1578	Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving Authors: Jianing Huang; Kaixuan Zhang; Youjia Wu; Ze Cheng Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural Operator; Domain Decomposition; Geometric Generalization; chemistry; biology; etc.)
1579	Optimal transport unlocks end-to-end learning for single-molecule localization Authors: Romain Seailles; Jean Baptiste Masson; Jean Ponce; Julien Mairal Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Single Molecule Localization Microscopy; SMLM; High-Density; Deep Learning; Inverse Problems; Iterative Refinement; chemistry; biology; etc.)
1580	Orbital Transformers for Predicting Wavefunctions in Time-Dependent Density Functional Theory Authors: Xuan Zhang; Haiyang Yu; Chengdong Wang; Jacob Helwig; Shuiwang Ji; Xiaofeng Qian Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Machine learning density functional theory; Time dependent neural PDE solver; chemistry; biology; etc.)
1581	OrthoSolver: A Neural Proper Orthogonal Decomposition Solver For PDEs Authors: Ying Pang; Jingyuan Wang; Jiahao Ji; Fanhao Mu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Partial differential equations; Neural operator; Information-theoretic; Proper orthogonal decomposition; chemistry; biology; etc.)
1582	Overtone: Cyclic Patch Modulation for Clean, Efficient, and Flexible Physics Emulators Authors: Payel Mukhopadhyay; Michael McCabe; Ruben Ohana; Miles Cranmer Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: autoregressive models; video modeling; compute-adaptive inference; tokenization based artifacts; physics based PDEs; chemistry; biology; etc.)
1583	P3D: Highly Scalable 3D Neural Surrogates for Physics Simulations with Global Context Authors: Benjamin Holzschuh; Georg Kohl; Florian Redinger; Nils Thuerey Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: neural surrogates; physics simulations; transformers; 3D; chemistry; biology; etc.)
1584	PETRI: Learning Unified Cell Embeddings from Unpaired Modalities via Early-Fusion Joint Reconstruction Authors: Ryan W Conrad; Ethan Weinberger; Saradha Venkatachalapathy; Yuwen Chen; Darshini Shah; Bay Johnson; Max R Salick; Vaishaali Natarajan; Emily Fox Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: high-content screening; cell biology; single cell; transcriptomics; microscopy; multimodal; chemistry; biology; etc.)
1585	PRISM: Enhancing PRotein Inverse Folding through Fine- Grained Retrieval on Structure-Sequence Multimodal Representations Authors: Sazan Mahbub; Souvik Kundu; Eric P. Xing Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Retrieval Augmented Generation; Protein Language Modeling; Protein Inverse Folding; Protein Sequence Design; Multimodal Representation; chemistry; biology; etc…
1586	PRO-MOF: Policy Optimization with Universal Atomistic Models for Controllable MOF Generation Authors: Zicheng Liu; Ben Fei; Di Huang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: metal-organic framework; material generation; AI for science; physical modeling; chemistry; biology; etc.)
1587	Pallatom-Ligand: an All-Atom Diffusion Model for Designing Ligand-Binding Proteins Authors: Haochen Wang; Qianyi Wang; Rui Ma; Jiawei Guan; Weikun.Wu; Haobo Wang; Jiayi Dou Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Diffusion; Protein Design; Ligand Binding; chemistry; biology; etc.)
1588	Panda: A pretrained forecast model for chaotic dynamics Authors: Jeffrey B. Lai; Anthony Bao; William Gilpin Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: chaos; nonlinear dynamics; forecasting; physics; scientific machine learning; dynamical systems; chemistry; biology; etc.)
1589	PatchDNA: A Flexible and Biologically-Informed Alternative to Tokenization for DNA Authors: Alice Del Vecchio; Chantriolnt-Andreas Kapourani; Abdullah M Athar; Agnieszka Dobrowolska; Andrew Anighoro; Benjamin Tenmann; Lindsay Edwards; Cristian Regep Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: DNA; DNA language model; gLM; tokenization; genomic sequence representation; chemistry; biology; etc.)
1590	PepTri: Tri-Guided All-Atom Diffusion for Peptide Design via Physics, Evolution, and Mutual Information Authors: Ngoc-Quang Nguyen; Jaeyoon Jung; Seijung Kim; Sunkyu Kim; Jaewoo Kang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: sequence-structure peptide design; all-atom; guided latent diffusion; chemistry; biology; etc.)
1591	Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection Authors: Siyuan Chen; Minghao Guo; Caoliwen Wang; Anka He Chen; Yikun Zhang; Jingjing Chai; Yin Yang; Wojciech Matusik; Peter Yichen Chen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Biomolecular Interaction Modeling; Physical Validity; chemistry; biology; etc.)
1592	Physics vs Distributions: Pareto Optimal Flow Matching with Physics Constraints Authors: Giacomo Baldan; Qiang Liu; Alberto Guardone; Nils Thuerey Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Flow Matching; Physics; PDE; Diffusion Models; chemistry; biology; etc.)
1593	Physics-Informed Inference Time Scaling for Solving High-Dimensional Partial Differential Equations Authors: Zexi Fan; Yan Sun; Shihao Yang; Yiping Lu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: AI for Science; Inference-time Scaling; Deep learning; Curse of dimensionality; chemistry; biology; etc.)
1594	PoinnCARE: Hyperbolic Multi-Modal Learning for Enzyme Classification Authors: Kun XIE; Peng Zhou; Xingyi Zhang; Wei Liu; Peilin Zhao; Sibo Wang; Biaobin Jiang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: EC number prediction; enzyme function; hyperbolic space learning; multi-modal learning; enzyme structure; enzyme active site; chemistry; biology; etc.)
1595	ProTDyn: A Foundation Protein Language Model for Thermodynamics and Dynamics Generation Authors: Yikai Liu; Haoyang Zheng; Lining Mao; Yanbin Wang; Ming Chen; Guang Lin Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Transformer; Protein Language Model; Protein ensemble generation; Protein dynamics; generative model; chemistry; biology; etc.)
1596	Property-Driven Protein Inverse Folding with Multi-Objective Preference Alignment Authors: Junqi Liu; Xiaoyang Hou; Chence Shi; Xin Liu; Zhi Yang; Jian Tang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: protein design; preference alignment; chemistry; biology; etc.)
1597	Protein Structure Tokenization via Geometric Byte Pair Encoding Authors: Michael Sun; Weize Yuan; Gang Liu; Wojciech Matusik; Marinka Zitnik Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: protein; geometry; structure; byte pair encoding; tokenizers; multi-scale protein structure; folds; backbones; motifs; chemistry; biology; etc.)
1598	ProteinAE: Protein Diffusion Autoencoders for Structure Encoding Authors: Shaoning Li; Le Zhuo; Yusong Wang; Mingyu Li; Xinheng He; Fandi Wu; Hongsheng Li; Pheng-Ann Heng Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Protein Auto-encoder; Protein Structure modeling; chemistry; biology; etc.)
1599	Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding Authors: Jiarui Li; Zixiang Yin; Haley Smith; Zhengming Ding; Samuel J Landry; Ramgopal R. Mettu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: CD4+ T cell response; epitope prediction; explainable AI; multi-modal learning; transformer models; deep learning; chemistry; biology; etc.)
1600	RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion Authors: Tianmeng Hu; Yongzheng Cui; Biao Luo; Ke Li Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: RNA Inverse Design; Reinforcement Learning; RNA Structure; chemistry; biology; etc.)
1601	RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours Authors: Rafael Pablos Sarabia; Joachim Nyborg; Morten Birk; Jeppe Liborius Sjørup; Anders Lillevang Vesterholt; Ira Assent Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Precipitation Forecasting; Probabilistic Forecasting; High-Resolution Forecasting; chemistry; biology; etc.)
1602	RankFlow: Property-aware Transport for Protein Optimization Authors: Lu Yu; Wei Xiang; Kang Han; Gaowen Liu; Ramana Rao Kompella Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: protein language models; fitness prediction; chemistry; biology; etc.)
1603	Rapid Training of Hamiltonian Graph Networks Using Random Features Authors: Atamert Rahma; Chinmay Datar; Ana Cukarska; Felix Dietrich Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Graph neural networks; physics-informed machine learning; random feature methods; gradient-descent-free training; Hamiltonian neural network; chemistry; biolog…
1604	Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy Imaging Authors: Chenwei Wang; Zhaoke Huang; Zelin Li; Wenqi Zhu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Fluorescence microscopy; Cell recovery; Tensor completion; Conditional diffusion; chemistry; biology; etc.)
1605	Reference-guided Policy Optimization for Molecular Optimization via LLM Reasoning Authors: Xuan Li; Zhanke Zhou; Zongze Li; Jiangchao Yao; Yu Rong; Lu Zhang; Bo Han Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Large Language Model; Molecular Optimization; LLM Reasoning; chemistry; biology; etc.)
1606	Refine Drugs, Don’t Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug Discovery Authors: Benno Kaech; Luis Wyss; Karsten Borgwardt; Gianvito Grasso Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Generative Chemistry; Discrete Flow Models; Molecular Optimization; chemistry; biology; etc.)
1607	Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields Authors: Tianyu Xiong; Skylar Wurster; Han Wei Shen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: implicit neural representation; scene representation network; ensemble simulation; scientific simulation; chemistry; biology; etc.)
1608	Representing local protein environments with machine learning force fields Authors: Meital Bojan; Sanketh Vedula; Sai Advaith Maddipatla; Nadav Bojan; Anar Rzayev; Federico Napoli; Paul Schanda; Alexander Bronstein Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Machine learning force fields; structural biology; NMR; representation learning; chemistry; biology; etc.)
1609	Reverse Distillation: Consistently Scaling Protein Language Model Representations Authors: Darius Catrina; Christian Bepler; Samuel Sledzieski; Rohit Singh Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Protein language models; model scaling; Representation learning; Subspace decomposition; interpretability; Model distillation; Matryoshka embeddings; chemistry…
1610	Riesz Neural Operator for Solving Partial Differential Equations Authors: Shouyi Liu; Xiaokang Yang; Yuntian Chen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural Operator; Local derivative; Taylor expansion; Nonlinear; PDEs; chemistry; biology; etc.)
1611	Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles Authors: Zhanghan Ni; Yanjing Li; Zeju Qiu; Bernhard Schölkopf; Hongyu Guo; Weiyang Liu; Shengchao Liu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Protein design; Self-supervised Learning; 3D Geometry; Rigidity; Conformational ensembles; Flow matching; SE(3)-equivariance; chemistry; biology; etc.)
1612	Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning Authors: Youngwoo Cho; Seunghoon Yi; Wooil Yang; Sungmo Kang; Young-Woo Son; Jaegul Choo; Joonseok Lee; Soo Kyung Kim; Hongkee Yoon Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: machine learning interatomic potentials; equivariance; sparsity-promoting; chemistry; biology; etc.)
1613	SAQ: Stabilizer-Aware Quantum Error Correction Decoder Authors: David Zenati; Eliya Nachmani Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Deep learning; Quantum Information; Error Correcting Codes; chemistry; biology; etc.)
1614	SAVE: A Generalizable Framework for Multi-Condition Single-Cell Generation with Gene Block Attention Authors: Jiahao Li; Jiayi Dong; Peng Ye; Xiaochi Zhou; Haohai Lu; Fei Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: generative model; single cell; chemistry; biology; etc.)
1615	SE-Diff: Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation Authors: Xiaoda Wang; Kaiqiao Han; Yuhao Xu; Xiao Luo; Yizhou Sun; Wei Wang; Carl Yang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Diffusion Model; ECG; Simulator; LLM; chemistry; biology; etc.)
1616	SR-Scientist: Scientific Equation Discovery With Agentic AI Authors: Shijie Xia; Yuhan Sun; Pengfei Liu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Symbolic regression; Equation Discovery; Large Language Models; Agentic AI; chemistry; biology; etc.)
1617	SYNC: Measuring and Advancing Synthesizability in Structure-Based Drug Design Authors: Yunfan Liu; Lirong Wu; Zhifeng Gao; Yufei Huang; Cheng Tan; Haitao Lin; Zicheng Liu; Changxi Chi; Chang Yu; Stan Z. Li Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Structure Based Drug Design; Synthesizable Drug Design; Controllable Generation; chemistry; biology; etc.)
1618	Sample-efficient evidence estimation of score based priors for model selection Authors: Frederic Wang; Katherine Bouman Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Computational imaging; inverse problems; model selection; posterior sampling; diffusion models; chemistry; biology; etc.)
1619	Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics Authors: Nima Shoghi; Yuxuan Liu; Yuning Shen; Rob Brekelmans; Pan Li; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Proteins; Molecular dynamics; Generative modeling; Diffusion models; Autoregressive modeling; SE(3)-equivariant diffusion; Spatiotemporal modeling; chemistry;…
1620	Scaling Laws and Symmetry, Evidence from Neural Force Fields Authors: Khang Ngo; Siamak Ravanbakhsh Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: compute-optimal scaling laws; geometric deep learning; interatomic potentials; chemistry; biology; etc.)
1621	Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems Authors: Giacomo Turri; Luigi Bonati; Kai Zhu; Massimiliano Pontil; Pietro Novelli Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Operator; Koopman; Transfer; Contrastive; Self-Supervised; DMD; Modes; Dynamics; ENSO; Climate; Molecular Dynamics; Protein; TICA; Slow Modes; chemistry; biolo…
1622	Si-GT: Fast Interconnect Signal Integrity Analysis for Integrated Circuit Design via Graph Transformers Authors: Yuting Hu; Tarek Mohamed; Chenhui Xu; Hua Xiang; Hussam Amrouch; Gi-Joon Nam; Jinjun Xiong Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Graph Transformer; Integrated Circuit; Signal Integrity; chemistry; biology; etc.)
1623	SigmaDock: Untwisting Molecular Docking with Fragment-Based SE(3) Diffusion Authors: Alvaro Prat; Leo Zhang; Charlotte Deane; Yee Whye Teh; Garrett M Morris Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Molecular Docking; Geometric Deep Learning; Generative Models; SE(3); Diffusion; AI for Science; chemistry; biology; etc.)
1624	SimpleFold: Folding Proteins is Simpler than You Think Authors: Yuyang Wang; Jiarui Lu; Navdeep Jaitly; Joshua M. Susskind; Miguel Ángel Bautista Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Generative models; protein structure prediction; chemistry; biology; etc.)
1625	SpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data Authors: Yunyue Su; Jiahui Chen; Zao Jiang; Zhenyi Zhong; Liang Wang; Qiang Liu; Zhaoxiang Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: structure elucidation; spectral; molecular; large language model; domain specific training; chemistry; biology; etc.)
1626	Spectral-guided Physical Dynamics Distillation Authors: Youjin Kim; Dagyeong Na; Jae Yong Lee; Junseok Kwon Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: 3D Physical dynamics; Knowledge distillation; chemistry; biology; etc.)
1627	Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling Authors: Matthieu Blanke; Yongquan Qu; Sara Shamekh; Pierre Gentine Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Langevin sampling; generative models; constrained sampling; duality; Lagrangian; data assimilation; optimal control; diffusion models; inverse problems; optima…
1628	Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis Authors: Yilan Zhang; Li Nanbo; Changchun Yang; Jürgen Schmidhuber; Xin Gao Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Computational Pathology; Multimodal Learning; Cancer Survival Prediction; chemistry; biology; etc.)
1629	SubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False Positive Authors: Jungseob Yi; Seoyoung Choi; Sun Kim; Sangseon Lee Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Virtual screening; Data mining; Subgraph pattern fingerprint; Chemical similarity-based network; LFDR-based seed refinement; chemistry; biology; etc.)
1630	Take Note: Your Molecular Dataset Is Probably Aligned Authors: Peter Lippmann; Roman Remme; Manuel V. Klockow; Fred A. Hamprecht Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: molecular machine learning; datasets; orientation bias; equivariance; 3D orientation; chemistry; biology; etc.)
1631	Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models Authors: Shilei Cao; Hehai Lin; Jiashun Cheng; Yang Liu; Guowen Li; Xuehe Wang; Juepeng Zheng; Haoyuan Liang; Meng Jin; Chengwei Qin; Hong Cheng; Haohuan Fu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Weather Foundation Model; Parameter-Efficient Fine-Tuning; Earth Science; chemistry; biology; etc.)
1632	Temporally Detailed Hypergraph Neural ODE for Disease Progression Modeling Authors: Tingsong Xiao; Yao An Lee; Zelin Xu; Yupu Zhang; Zibo Liu; Yu Huang; Jiang Bian; Jingchuan Guo; Zhe Jiang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Disease Progression Modeling; Neural ODE; Temporally Detailed Hypergraph; chemistry; biology; etc.)
1633	Tensor learning with orthogonal, Lorentz, and symplectic symmetries Authors: Wilson G. Gregory; Josué Tonelli-Cueto; Nicholas F. Marshall; Andrew S. Lee; Soledad Villar Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: equivariant machine learning; tensors; orthogonal; lorentz; symplectic; chemistry; biology; etc.)
1634	Test-Time Accuracy-Cost Control in Neural Simulators via Recurrent-Depth Authors: Harris Abdul Majid; Pietro Sittoni; Francesco Tudisco Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural Simulator; Recurrent Depth; AI4Simulation; chemistry; biology; etc.)
1635	Test-Time Adaptation without Source Data for Out-of-Domain Bioactivity Prediction Authors: Yiming Yang; Zhiyuan Zhou; Yueming Yin; Hoi-Yeung Li; Adams Wai-Kin Kong Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: out-of-domain bioactivity prediction; source data-absent; test-time adaptation; chemistry; biology; etc.)
1636	TetraGT: Tetrahedral Geometry-Driven Explicit Token Interactions with Graph Transformer for Molecular Representation Learning Authors: Jinjia Feng; Zhewei Wei; Taifeng Wang; Zongyang Qiu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Molecular Representation Learning; Graph Transformer; Molecular Geometry Pretraining; chemistry; biology; etc.)
1637	The Tutor-Pupil Augmentation: Enhancing Learning and Interpretability via Input Corrections Authors: Darya Biparva; Maarten Schoukens; Donatello Materassi Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Model Augmentation; Machine learning for physical sciences; chemistry; biology; etc.)
1638	To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking Authors: Hannah Lawrence; Elyssa Hofgard; Vasco Portilheiro; Yuxuan Chen; Tess Smidt; Robin Walters Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: equivariance; symmetry; symmetry breaking; canonicalization; data augmentation; chemistry; biology; etc.)
1639	Tokenization to Transfer: Do Genomic Foundation Models Learn Good Representations? Authors: Kirill Vishniakov; Karthik Viswanathan; Aleksandr Medvedev; Praveenkumar Kanithi; Marco AF Pimentel; Ronnie Rajan; Shadab Khan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: ai4science; foundation models; genomics; biology; pretraining; deep learning; chemistry; biology; etc.)
1640	Towards All-Atom Foundation Models for Biomolecular Binding Affinity Prediction Authors: Liang Shi; Zuobai Zhang; Huiyu Cai; Santiago Miret; Zhi Yang; Jian Tang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Biology foundation model; biomolecular interaction prediction; representation learning; chemistry; biology; etc.)
1641	Towards Knowledge‑and‑Data‑Driven Organic Reaction Prediction: RAG‑Enhanced and Reasoning‑Powered Hybrid System with LLMs Authors: Qingyu Wang; Xinyuan Cai; Xiang Cheng; YuZhe Gao; Bo XU Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Organic Reaction Prediction; Large Language Models; Retrieval‑Augmented Generation; Chain‑of‑Thought Reasoning; chemistry; biology; etc.)
1642	Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI Authors: Bogdan Raonic; Siddhartha Mishra; Samuel Lanthaler Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: OOD Detection; Scientific ML; Neural Operators; Diffusion Models; Joint Likelihood Estimation; Partial Differential Equations; Fluid Dynamics; Regression; Segm…
1643	Towards a Transferable Acceleration Method for Density Functional Theory Authors: Zhe Liu; Yuyan Ni; Zhichen Pu; Qiming Sun; Siyuan Liu; Wen Yan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Density Functional Theory; E(3)-equivariant networks; chemistry; biology; etc.)
1644	Triangle Multiplication is All You Need for Biomolecular Structure Representations Authors: Jeffrey Ouyang-Zhang; Pranav Murugan; Daniel Jesus Diaz; Gianluca Scarpellini; Richard Strong Bowen; Nate Gruver; Adam Klivans; Philipp Kraehenbuehl; Aleksandra Faust; Maruan Al-S… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: structure prediction; cofolding; triangle multiplication; chemistry; biology; etc.)
1645	TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis Authors: Sijing Li; Zhongwei Qiu; Jiang Liu; Wenqiao Zhang; Tianwei Lin; Yihan Xie; Jianxiang An; Boxiang Yun; Chenglin Yang; Jun Xiao; Guangyu Guo; Jiawen Yao; Wei Liu; Yuan gao; Ke Yan;… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: medical multimodal large language model; multimodal interleaved Chain-of-Thought (CoT); tumor analysis; chemistry; biology; etc.)
1646	TusoAI: Agentic Optimization for Scientific Methods Authors: Alistair Turcan; Kexin Huang; Lei Li; Martin Jinye Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: AI for Science; Agentic AI; Code Optimization; AutoML; chemistry; biology; etc.)
1647	Unified Biomolecular Trajectory Generation via Pretrained Variational Bridge Authors: Ziyang Yu; Wenbing Huang; Yang Liu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: deep generative model; molecular dynamics; trajectory generation; variational autoencoder; augmented bridge matching; adjoint matching; chemistry; biology; etc…
1648	Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery Authors: Xinzhe Yuan; Zhuo Chen; Jianshu Zhang; Huan Xiong; Nanyang Ye; Yuqiang Li; Qinying Gu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Bayesian Optimization; Large Language Models; AI for Science; Scientific Discovery; chemistry; biology; etc.)
1649	Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism Authors: Haoran Sun; Yankai Jiang; Zhenyu Tang; Yaning Pan; Shuang Gu; Zekai Lin; Lilong Wang; Wenjie Lou; Lei Liu; LEI BAI; Xiaosong Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: AI for biology; Protocol Generation; Scientific Reasoning; Large Language Model; Reinforcement Learning; chemistry; biology; etc.)
1650	Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework Authors: Ruihua Chen; Yisi Luo; Bangyu Wu; Deyu Meng Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Full-waveform inversion; Continuous representation; Implicit neural representation; Neural tangent kernel; chemistry; biology; etc.)
1651	UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction Authors: Weilin Xin; Chenyu Huang; Peilin Li; Jing Zhong; Jiawei Yao Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Spatio-Temporal Graph; Heterogeneous Graph; Dynamic Graph; Physics-Informed ML; Urban Microclimate; chemistry; biology; etc.)
1652	VCWorld: A Biological World Model for Virtual Cell Simulation Authors: Zhijian Wei; Runze Ma; Zichen Wang; Zhongmin Li; Shuotong Song; Shuangjia Zheng Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Virtual Cell; Large Language Models; Perturb-seq; chemistry; biology; etc.)
1653	WFR-FM: Simulation-Free Dynamic Unbalanced Optimal Transport Authors: Qiangwei Peng; Zihan Wang; Junda Ying; Yuhao Sun; Qing Nie; Lei Zhang; Tiejun Li; Peijie Zhou Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: flow matching; unbalanced optimal transport; Wasserstein-Fisher-Rao; chemistry; biology; etc.)
1654	Zephyrus: An Agentic Framework for Weather Science Authors: Sumanth Varambally; Marshall Fisher; Jas Thakker; Yiwei Chen; Zhirui Xia; Yasaman Jafari; Ruijia Niu; Manas Jain; Veeramakali Vignesh Manivannan; Zachary Novack; Luyu Han; Srikar… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Agents; Large Language Models; Weather Science; Code Generation; chemistry; biology; etc.)
1655	h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Authors: Yanru Qu; Yijie Zhang; Wenjuan Tan; Xiangzhe Kong; Xiangxin Zhou; Chaoran Cheng; Mathieu Blanchette; Jiaxuan You; Ge Liu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Binding Affinity Prediction; BPE; Virtual Screen; chemistry; biology; etc.)
1656	scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction Authors: Chenglei Yu; Chuanrui Wang; Bangyan Liao; Tailin Wu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Machine Learning; Single Cell; chemistry; biology; etc.)
1657	$AutoDrive\text{-}P^3$: Unified Chain of Perception–Prediction–Planning Thought via Reinforcement Fine-Tuning Authors: Yuqi Ye; Zijian Zhang; Junhong Lin; Shangkun Sun; Changhao Peng; Wei Gao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; Vision-Language Models; Reinforcement Learning; autonomy; planning
1658	A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control Authors: Louis Claeys; Artur Goldman; Zebang Shen; Niao He Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Stochastic Optimal Control; Schrödinger operator; eigenfunction learning; long-horizon control; autonomy; planning
1659	ARFlow: Auto-regressive Optical Flow Estimation for Arbitrary-Length Videos via Progressive Next-Frame Forecasting Authors: Jiuming Liu; Mengmeng Liu; Siting Zhu; Yunpeng Zhang; Jiangtao Li; Michael Ying Yang; Francesco Nex; Hao Cheng; Hesheng Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Optical Flow Estimation; autonomy; planning
1660	ARINBEV: Bird's-Eye View Layout Estimation with Conditional Autoregressive Model Authors: Jiyong Kwag; Charles Toth; Alper Yilmaz Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: BEV semantic Segmentation; Autonomous Driving; Autoregressive Generative Models; autonomy; planning
1661	Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies Authors: Ce Hao; Xuanran Zhai; Yaohua Liu; Harold Soh Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Imitation Learning; Mixture of Experts; autonomy; planning
1662	Accelerated co-design of robots through morphological pretraining Authors: Luke Strgar; Sam Kriegman Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: robot co-design; universal control; differentiable simulation; embodied intelligence; autonomy; planning
1663	Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation Authors: Xiaohuan Pei; Yuxing Chen; Siyu Xu; Yunke Wang; Yuheng Shi; Chang Xu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-Language-Actions; Efficient Robotic Manipulations; autonomy; planning
1664	Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting Authors: Asher James Hancock; Xindi Wu; Lihan Zha; Olga Russakovsky; Anirudha Majumdar Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: VLAs; Embodied Reasoning; Action Representation; autonomy; planning
1665	Advancing Multi-agent Traffic Simulation via R1-Style Reinforcement Fine-Tuning Authors: Muleilan Pei; Shaoshuai Shi; Shaojie Shen Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; Reinforcement Fine-Tuning; Multi-agent Traffic Simulation; autonomy; planning
1666	Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance Authors: Yang Zhang; Chenwei Wang; ouyang lu; Yuan Zhao; Yunfei Ge; Zhenglong Sun; Xiu Li; Chi Zhang; Chenjia Bai; Xuelong Li Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: VLA; Generalist Robot Policies; Efficient Fine-tuning; Classifier Guidance; autonomy; planning
1667	All-day Multi-scenes Lifelong Vision-and-Language Navigation with Tucker Adaptation Authors: Xudong Wang; Gan Li; Zhiyu Liu; Yao Wang; Lianqing Liu; Zhi Han Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Tensor Decomposition; Vision-and-Language Navigation; Lifelong Learning; autonomy; planning
1668	AsyncBEV: Cross-modal flow alignment in Asynchronous 3D Object Detection Authors: Shiming Wang; Holger Caesar; Liangliang Nan; Julian F. P. Kooij Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: multi-modal 3D object detection; autonomous driving; a synchronous fusion.; autonomy; planning
1669	AutoDrive-R²: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving Authors: Zhenlong Yuan; Chengxuan Qian; Jing Tang; Rui Chen; Zijian Song; Lei Sun; Xiangxiang Chu; Yujun Cai; Dapeng Zhang; Shuo Li Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Applications; Robots; Vision–Language–Action Models; autonomy; planning
1670	Autonomous Functional Play with Correspondence-Driven Trajectory Warping Authors: William Liang; Sam Wang; Hung-Ju Wang; Osbert Bastani; Yecheng Jason Ma; Dinesh Jayaraman Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Manipulation; Autonomous Play; Robot Data Generation; autonomy; planning
1671	BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning Authors: Yitang Li; Zhengyi Luo; Tonghe Zhang; Cunxi Dai; Anssi Kanervisto; Andrea Tirinzoni; Haoyang Weng; Kris Kitani; Mateusz Guzek; Ahmed Touati; Alessandro Lazaric; Matteo Pirotta; Gu… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Unsupervised Reinforcement Learning; Robotics; Humanoid Robot; Robotics Foundation Model; autonomy; planning
1672	BOLT: Decision‑Aligned Distillation and Budget-Aware Routing for Constrained Multimodal QA on Robots Authors: Tengjun Ni; Xin Yuan; Shenghong Li; Kai Wu; Ren Ping Liu; Wei Ni; Wenjie Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: multimodal question answering; vision-language models; robotics; knowledge distillation; resource-constrained AI; autonomy; planning
1673	Bird's-eye-view Informed Reasoning Driver Authors: Yinuo Wang; Mining Tan; Yuanxin Zhong; Wang zhitao; Siyuan Cheng Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous driving; Key Intent Points; autonomy; planning
1674	Block-wise Adaptive Caching for Accelerating Diffusion Policy Authors: Kangye Ji; Yuan Meng; Hanyun Cui; Ye Li; Jianbo Zhou; Shengjia Hua; Lei Chen; Zhi Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Efficient AI; Diffusion Policy; Visuomotor Policy; Robotics; Action Generation; Model Caching.; autonomy; planning
1675	BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving Authors: Shu Liu; Wenlin Chen; Weihao Li; Zheng Wang; Lijin Yang; Jianing Huang; YipinZhang; Zhongzhan Huang; Ze Cheng; Hao Yang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Diffusion policy; closed-loop planning; end-to-end autonomous driving; autonomy; planning
1676	CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local Navigation Authors: Kai Yang; Tianlin Zhang; Zhengbo Wang; Zedong Chu; Xiaolong Wu; Yang Cai; Mu Xu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: embodied navigation; autonomy; planning
1677	COOPERTRIM: Adaptive Data Selection for Uncertainty-Aware Cooperative Perception Authors: Shilpa Mukhopadhyay; Amit Roy-Chowdhury; Hang Qiu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Cooperative Perception; Intermediate Fusion; Uncertainty Estimation; autonomy; planning
1678	Capturing Visual Environment Structure Correlates with Control Performance Authors: Jiahua Dong; Yunze Man; Pavel Tokmakov; Yu-Xiong Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Learning; Computer Vision; Diffusion Policy; autonomy; planning
1679	CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control Authors: Zirui Yuan; Siqi Lai; Hao Liu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Traffic Signal Control; Large Language Model; Multi-Agent System; Intelligent Transportation; autonomy; planning
1680	CompassNav: Steering From Path Imitation to Decision Understanding In Navigation Authors: LinFeng Li; Jian Zhao; Yuan Xie; Xin Tan; Xuelong Li Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied AI; Goal-Driven Navigation; Large Vision-Language Models; Reinforcement Fine-Tuning; autonomy; planning
1681	Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition Authors: Jiahang Cao; Yize Huang; Hanzhong Guo; Qiang Zhang; Rui Zhang; Weijian Mai; Mu Nan; Jiaxu Wang; Hao Cheng; Jingkai SUN; Gang Han; Wen Zhao; Yijie Guo; Qihao Zheng; Xiao Li; Chunfe… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Diffusion Policies; Policy Composition; Training-free; autonomy; planning
1682	Compositional Visual Planning via Inference-Time Diffusion Scaling Authors: Yixin Zhang; Yunhao Luo; Utkarsh Aashu Mishra; Woo Chul Shin; Yongxin Chen; Danfei Xu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Planning; Compositionality; Diffusion Models; Robotics; autonomy; planning
1683	ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents Authors: Hanyu Lai; Xiao Liu; Yanxiao Zhao; Han Xu; Hanchen Zhang; Bohao Jing; Yanyu Ren; Shuntian Yao; Yuxiao Dong; Jie Tang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: large language model; computer use agent; reinforcement learning; autonomy; planning
1684	Contractive Diffusion Policies Authors: Amin Abyaneh; Charlotte Morissette; Mohamad H. Danesh; Anas Houssaini; David Meger; Gregory Dudek; Hsiu-Chin Lin Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Diffusion Policy; Contraction Theory; Robot learning; autonomy; planning
1685	Cortical Policy: A Dual-Stream View Transformer for Robotic Manipulation Authors: Xuening Zhang; Qi Lv; Xiang Deng; Miao Zhang; Xingbo Liu; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: robotic manipulation; view transformer; 3D perception; dynamic-view perception; autonomy; planning
1686	Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning Authors: Moo Jin Kim; Yihuai Gao; Tsung-Yi Lin; Yen-Chen Lin; Yunhao Ge; Grace Lam; Percy Liang; Shuran Song; Ming-Yu Liu; Chelsea Finn; Jinwei Gu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: world models; robotics; manipulation; model-based planning; imitation learning; video generation; autonomy; planning
1687	Ctrl-World: A Controllable Generative World Model for Robot Manipulation Authors: Yanjiang Guo; Lucy Xiaoyang Shi; Jianyu Chen; Chelsea Finn Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: World Model; Vision-Language-Action Model (VLA); autonomy; planning
1688	D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping Authors: Haozhe Lou; Mingtong Zhang; Haoran Geng; Hanyang Zhou; Sicheng He; Zhiyuan Gao; Siheng Zhao; Jiageng Mao; Pieter Abbeel; Jitendra Malik; Daniel Seita; Yue Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Real-to-Sim-to-Real; Differentiable Simulation; Learning Robotic Policies from Videos; System Identification; autonomy; planning
1689	DEAS: DEtached value learning with Action Sequence for Scalable Offline RL Authors: Changyeon Kim; Haeone Lee; Younggyo Seo; Kimin Lee; Yuke Zhu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Reinforcement Learning; Offline Reinforcement Learning; Vision Language Action Model; autonomy; planning
1690	DataMIL: Selecting Data for Robot Imitation Learning with Datamodels Authors: Shivin Dass; Alaa Khaddaj; Logan Engstrom; Aleksander Madry; Andrew Ilyas; Roberto Martín-Martín Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Learning; Data Curation; Imitation Learning; autonomy; planning
1691	DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning Authors: Ke Guo; Haochen Liu; XIAOJUN WU; Chen Lv Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: traffic simulation; multi-agent imitation learning; generative adversarial imitation learning; autonomy; planning
1692	DemoGrasp: Universal Dexterous Grasping from a Single Demonstration Authors: Haoqi Yuan; Ziye Huang; Ye Wang; Chuan Mao; Chaoyi Xu; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: dexterous grasping; reinforcement learning; sim-to-real; autonomy; planning
1693	Demystifying Robot Diffusion Policies: Action Memorization and a Simple Lookup Table Alternative Authors: Chengyang He; Xu Liu; Gadiel Mark Sznaier Camps; Joseph Bruno; Guillaume Adrien Sartoretti; Mac Schwager Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Action Memorization; Action Lookup Table; Diffusion Policy Analysis; autonomy; planning
1694	Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving Authors: Md Hasan Shahriar; Md Mohaimin Al Barat; Harshavardhan Sundar; Ning Zhang; Naren Ramakrishnan; Thomas Hou; Wenjing Lou Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Multimodal Fusion; Temporal Misalignment Attack; Attack Detection; Autonomous Driving; autonomy; planning
1695	DexMove: Learning Tactile-Guided Non-Prehensile Manipulation with Dexterous Hands Authors: Pei Lin; Yuzhe Huang; Wanlin Li; Chenxi Xiao; Ziyuan Jiao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: tactile; robotics; dexterous hand; manipulation; autonomy; planning
1696	DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation via Joint-Wise Neural Dynamics Model Authors: Xueyi Liu; He Wang; Li Yi Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: In-Hand Object Rotation; Sim-to-Real; Neural Dynamics Model; autonomy; planning
1697	Difference-Aware Retrieval Policies for Imitation Learning Authors: Quinn Pfeifer; Ethan Pronovost; Paarth Shah; Khimya Khetarpal; Siddhartha Srinivasa; Abhishek Gupta Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: behavior cloning; robotics; imitation learning; nearest neighbor; retrieval; RAG; retrieval-augmented generation; autonomy; planning
1698	Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control Authors: Anselm Paulus; Andreas René Geist; Pierre Schumacher; Vít Musil; Simon Rappenecker; Georg Martius Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: differentiable simulation; contact forces; musculoskeletal control; autonomy; planning
1699	Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving Authors: Pengxiang Li; Yinan Zheng; Yue Wang; Huimin Wang; Hang Zhao; Jingjing Liu; Xianyuan Zhan; Kun Zhan; XianPeng Lang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: autonomous driving; VLA; discrete diffusion; autonomy; planning
1700	Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining Authors: Wenyao Zhang; Bozhou Zhang; Zekun Qi; Wenjun Zeng; Xin Jin; Li Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: robot learning，forward dynamics，inverse dynamics; autonomy; planning
1701	DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving Authors: Haisheng Su; Wei Wu; Feixiang Song; Junjie Zhang; Zhenjie Yang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; Task-Centric Paradigm; Scalable State Space Model; autonomy; planning
1702	DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving Authors: Yingyan Li; Shuyao Shang; Weisong Liu; Bing Zhan; Haochen Wang; Yuqi Wang; Yuntao Chen; Xiaoman Wang; AnYasong; Chufeng Tang; Lu Hou; Lue Fan; Zhaoxiang Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: VLA; World model; End-to-end autonomous driving; autonomy; planning
1703	Dual-Scale World Memory for LLM Agents towards Hard-Exploration Problems Authors: Minsoo Kim; seung-won hwang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: hard-exploration problems; world memory; llm agents; text-based games; autonomy; planning
1704	EVLP: Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuning Authors: Xinyan Cai; Qiang Guan; Shiguang Wu; DaFeng Chi; Yuzheng Zhuang; Xingyue Quan; Jianye HAO Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied intelligence; multimodal large language models; reinforcement learning; long-sequence planning; autonomy; planning
1705	Efficient Differentiable Contact Model with Long-range Influence Authors: XIAOHAN YE; Kui Wu; Taku Komura; zherong pan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Differentiable Simulation; Policy Search; Motion Planning; autonomy; planning
1706	Embodied Navigation Foundation Model Authors: Jiazhao Zhang; Anqi Li; Yunpeng Qi; Minghan Li; Jiahang Liu; Shaoan Wang; Haoran Liu; Gengze Zhou; Yuze Wu; Xingxing LI; Yuxin Fan; Wenjun Li; Zhibo Chen; Fei Gao; Qi Wu; Zhizheng… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied Navigation; Vision-Language-Action Model; autonomy; planning
1707	Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation Authors: Yifu Yuan; Haiqin Cui; Yaoting Huang; Yibin Chen; Fei Ni; Zibin Dong; Pengyi Li; YAN ZHENG; Hongyao Tang; Jianye HAO Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied Reasoning; Vision-Language Model; Embodied AI; Reinforcement Learning; Zero-shot Generalization; autonomy; planning
1708	Emergent Dexterity Via Diverse Resets and Large-Scale Reinforcement Learning Authors: Patrick Yin; Tyler Westenbroek; Zhengyu Zhang; Ignacio Dagnino; Eeshani Shilamkar; Numfor Mbiziwo-Tiapo; Simran Bagaria; Xinlei Liu; Galen Mullins; Andrey Kolobov; Abhishek Gupta Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotics; sim-to-real; reinforcement learning; autonomy; planning
1709	EquAct: An SE(3)-Equivariant Multi-Task Transformer for 3D Robotic Manipulation Authors: Xupeng Zhu; Yu Qi; Yizhe Zhu; Robin Walters; Robert Platt Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: SE(3) Equivariance; Multi-task Transformer; sample efficient; autonomy; planning
1710	Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language Models Authors: Yunqing Liu; Nan Zhang; Zhiming Tan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision–Language Models; Error Notebook; Specification-Aware Part Retrieval; CoT Reasoning; Human-Preference Dataset; autonomy; planning
1711	Exo-Plore: Exploring Exoskeleton Control Space through Human-aligned Simulation Authors: Geonho Leem; Jaedong Lee; Jehee Lee; Seungmoon Song; Jungdam Won Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Deep reinforcement learning; Musculoskeletal simulation; Pathological gait generalization; Sim-to-real matching; autonomy; planning
1712	Experience-based Knowledge Correction for Robust Planning in Minecraft Authors: Seungjoon Lee; Suhwan Kim; Minhyeon Oh; Youngsik Yoon; Jungseul Ok Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: LLM-guided exploration; hierarchical planning; LLM knowledge correction; autonomy; planning
1713	FASTer: Toward Powerful and Efficient Autoregressive Vision–Language–Action Models with Learnable Action Tokenizer and Block-wise Decoding Authors: Yicheng Liu; Shiduo Zhang; Zibin Dong; Baijun Ye; Tianyuan Yuan; Xiaopeng Yu; Linqi Yin; Chenhao Lu; Junhao Shi; Luca Jiang-Tao Yu; Liangtao Zheng; Jingjing Gong; Tao Jiang; Xipen… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: VLA; embodied AI; robotics; autonomy; planning
1714	FastVGGT: Fast Visual Geometry Transformer Authors: You Shen; Zhipeng Zhang; Yansong Qu; Xiawu Zheng; Jiayi Ji; Shengchuan Zhang; Liujuan Cao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: 3D reconstruction; autonomy; planning
1715	FlowAD: Ego-Scene Interactive Modeling for Autonomous Driving Authors: Mingzhe Guo; Yixiang Yang; Chuanrong Han; Rufeng Zhang; Shirui Li; Ji Wan; Zhipeng Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; World Model; End-to-End; Vision-Language-Action Model; Scene Flow; autonomy; planning
1716	Fracture-GS: Dynamic Fracture Simulation with Physics-Integrated Gaussian Splatting Authors: Xiaogang Wang; Hongyu Wu; Wenfeng Song; Kai Xu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: 3D vision; Physics-based Simulation; autonomy; planning
1717	From Assumptions to Actions: Turning LLM Reasoning into Uncertainty-Aware Planning for Embodied Agents Authors: SeungWon Seo; SooBin Lim; Seongrae Noh; Haneul Kim; HyeongYeop Kang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: multi-agent system; large language model; human-agent cooperation; autonomy; planning
1718	From Embedding to Control: Representations for Stochastic Multi-Object Systems Authors: Xiaoyuan Cheng; Yiming Yang; Wei Jiang; Chenyang Yuan; Zhuo Sun; Yukun Hu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embedding to Control; Controllable Embedding; Graph Representation for Linear Control; autonomy; planning
1719	From Language to Locomotion: Retargeting-free Humanoid Control via Motion Latent Guidance Authors: Zhe Li; Yangyang Wei; Boan Zhu; Yibo Peng; Tao Huang; Pengwei Wang; Zhongyuan Wang; Cheng Chi; Chang Xu; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Humanoid locomotion; Reinforcement Learning; Motion Generation; autonomy; planning
1720	From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation Authors: Yifu Yuan; Haiqin Cui; Yibin Chen; Zibin Dong; Fei Ni; Longxin Kou; Jinyi Liu; Pengyi Li; YAN ZHENG; Jianye HAO Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Spatial VLMs; General Robotic Manipulation; VLM Reasoning; Spatial Chain-of-Thought; autonomy; planning
1721	From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning Authors: Honglin He; Yukai Ma; Brad Squicciarini; Wayne Wu; Bolei Zhou Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Urban Navigation; Foundation Models; Reinforcement Learning; autonomy; planning
1722	From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors Authors: Zhengshen Zhang; Hao Li; Yalun Dai; Zhengbang Zhu; Lei Zhou; Chenchen Liu; Dong Wang; Francis E. H. Tay; Sijin Chen; Ziwei Liu; Yuxiao Liu; Xinghang Li; Pan Zhou Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-language-action Model; Robot Learning; Robotics; 3D Understanding; autonomy; planning
1723	GT-Space: Enhancing Heterogeneous Collaborative Perception with Ground Truth Feature Space Authors: Wentao Wang; Haoran Xu; Guang Tan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Collaborative perception; multi-modality; multi-agent; sensor fusion; autonomy; planning
1724	GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception Authors: Xiao Zhao; Chang Liu; Mingxu Zhu; Zheyuan Zhang; Linna Song; Qingliang Luo; Chufan Guo; Kuifeng Su Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Gaussian Representation; BEV Representation; Detection; Occupancy; autonomy; planning
1725	Generalizable Coarse-to-Fine Robot Manipulation via Language-Aligned 3D Keypoints Authors: Jianshu Hu; Lidi Wang; Shujia Li; Yunpeng Jiang; Xiao Li; Paul Weng; Yutong Ban Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: 3D manipulation; Imitation Learning; Coarse-to-fine Policy; autonomy; planning
1726	Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation Authors: Yue Liao; Pengfei Zhou; Siyuan Huang; Donglin Yang; Shengcong Chen; Yuxin Jiang; Yue Hu; Si Liu; Jianlan Luo; Liliang Chen; Shuicheng YAN; Maoqing Yao; Guanghui Ren Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: World Model; World Action Model; Embodied AI; Vision-language-action; Robotic Manipulation; autonomy; planning
1727	Geometry-aware 4D Video Generation for Robot Manipulation Authors: Zeyi Liu; Shuang Li; Eric Cousineau; Siyuan Feng; Benjamin Burchfiel; Shuran Song Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Video Generation; Robot Manipulation; 3D Perception; autonomy; planning
1728	Geometry-aware Policy Imitation Authors: Yiming Li; Nael Darwiche; Amirreza Razmjoo; Sichao Liu; Yilun Du; Auke Ijspeert; Sylvain Calinon Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: imitation learning; diffusion policy; autonomy; planning
1729	H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning Authors: Yiyang Lu; Yufeng Tian; Zhecheng Yuan; Xianbang Wang; Pu Hua; Zhengrong Xue; Huazhe Xu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Imitation Learning; Representation Learning; Diffusion Model; autonomy; planning
1730	HAMLET: Switch Your Vision-Language-Action Model into a History-Aware Policy Authors: Myungkyu Koo; Daewon Choi; Taeyoung Kim; Kyungmin Lee; Changyeon Kim; Younggyo Seo; Jinwoo Shin Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-language-action models; Robot manipulation; autonomy; planning
1731	HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion Authors: Sixu Lin; Guanren Qiao; Yunxin Tai; Ang Li; Kui Jia; Guiliang Liu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Humanoid; Reinforcement Learning; Whole-body Control; autonomy; planning
1732	Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control Authors: Zhilong Zhang; Yunpeng Mei; Xinghao Du; Hongjie Cao; Haonan Wang; Pengyuan Min; Chenyu Wang; Pengfei Chen; Chenbo Xin; Yijie Wang; Wenyu Luo; Yihao Sun; Yidi Wang; Lei Yuan; Gang… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: robot policy learning; offline reinforcement learning; whole-body control; autonomy; planning
1733	Hybrid Training for Vision-Language-Action Models Authors: Pietro Mazzaglia; Cansu Sancaktar; Markus Peschl; Daniel Dijkman Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: vision-language-action models; chain-of-thought; robotic manipulation; autonomy; planning
1734	HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model Authors: Jiaming Liu; Hao Chen; Zhuoyang Liu; Pengju An; Renrui Zhang; Chenyang Gu; Xiaoqi Li; Ziyu Guo; Sixiang Chen; Mengzhen Liu; Chengkai Hou; Mengdi Zhao; KC alex Zhou; Pheng-Ann Heng… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-language-action model; Robotic manipulation; autonomy; planning
1735	Instance-wise Adaptive Scheduling via Derivative-Free Meta-Learning Authors: Hefang Qing; Miao Zhang; Yaoxin Wu; Weinan Huang; Jianhao Yang; Wen Song; Gang Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Scheduling; Neural Combinatorial Optimization; Meta-learning; autonomy; planning
1736	Interleave-VLA: Enhancing Robot Manipulation with Image-Text Interleaved Instructions Authors: Cunxin Fan; Xiaosong Jia; Yihang Sun; Yixiao Wang; Jianglan Wei; Ziyang Gong; Xiangyu Zhao; Masayoshi Tomizuka; Xue Yang; Junchi Yan; Mingyu Ding Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Learning; Foundation Model; Multimodal Learning; autonomy; planning
1737	JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation Authors: Shuang Zeng; Dekang Qi; Xinyuan Chang; Feng Xiong; Xie Shichao; Xiaolong Wu; Shiyi Liang; Mu Xu; Xing Wei Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-Language Navigation; Spatial Understanding; Dual Implicit Memory; autonomy; planning
1738	K²-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control Authors: Zhe Wu; Donglin Mo; Hongjin Lu; Junliang Xing; Jianheng Liu; Yuheng Jing; Kai Li; Kun Shao; Jianye HAO; Yuanchun Shi Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: LLM/VLM Agent; Self-Evolving Agent; Mobile Device Control; Decision-Making; autonomy; planning
1739	Learning What Matters Now: Dynamic Preference Inference under Contextual Shifts Authors: Xianwei Cao; Dou Quan; Zhenliang Zhang; Shuang Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Dynamic Value Preference Inference; Cognitive Modeling; Adaptive Decision-Making; autonomy; planning
1740	Learning to Grasp Anything By Playing with Random Toys Authors: Dantong Niu; Yuvan Sharma; Baifeng Shi; Rachel Ding; Matteo Gioia; Haoru Xue; Henry Tsai; Konstantinos Kallidromitis; Anirudh Pai; S. Shankar Sastry; Trevor Darrell; Jitendra Mali… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Generalizable Grasping; Object-centric Representation; Zero-shot Robotic Manipulation; autonomy; planning
1741	Lifelong Embodied Navigation Learning Authors: Xudong Wang; Jiahua Dong; Baichen Liu; Qi Lyu; Lianqing Liu; Zhi Han Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied Navigation; Lifelong Learning; Robotics Learning; autonomy; planning
1742	LongHorizonUI: A Unified Framework for Robust long-horizon Task Automation of GUI Agent Authors: Bin Kang; Shaoguo Wen; Yifei Bi; Shunlong Wu; Xinbin Yuan; Rui Shao; Junle Wang; Zhuotao Tian Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Multimodal large language models; autonomy; planning
1743	ManipEvalAgent: Promptable and Efficient Evaluation Framework for Robotic Manipulation Policies Authors: Yiteng Chen; Huiping Zhuang; WenboLi; Shiyi Wang; Xiangyu Zhao; Qingyao Wu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotic manipulation; Evaluation; Agent; autonomy; planning
1744	Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots Authors: Minghuan Liu; Zhengbang Zhu; Xiaoshen Han; PengHu; Haotong Lin; Xinyao Li; Jingxiao Chen; Jiafeng Xu; Yichu Yang; Yunfeng Lin; Xinghang Li; Yong Yu; Weinan Zhang; Tao Kong; Bingyi… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: 3D perception; manipulation; sim-to-real; depth foundation model; autonomy; planning
1745	Masked Generative Policy for Robotic Control Authors: Lipeng Zhuang; Shiyu Fan; Florent P. Audonnet; Yingdong Ru; Edmond S. L. Ho; Gerardo Aragon-Camarasa; Paul Henderson Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Imitation Learning; Masked Generative Transformer; Generative Model; autonomy; planning
1746	Master Skill Learning with Policy-Grounded Synergy of LLM-based Reward Shaping and Exploring Authors: Yanbin Chang; Junfan Lin; Jie Jiang; Runhao Zeng; Changxin Huang; Jianqiang Li Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Skill Acquisition; Dexterous Manipulation; Automatic Reward Design; autonomy; planning
1747	Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning Authors: Egor Cherepanov; Nikita Kachaev; Alexey Kovalev; Aleksandr Panov Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Memory; Benchmark; Robots; POMDP; RL; autonomy; planning
1748	MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation Authors: Hao Shi; Bin Xie; Yingfei Liu; Lin Sun; Fengrong Liu; Tiancai Wang; Erjin Zhou; Haoqiang Fan; Xiangyu Zhang; Gao Huang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied AI; Vision-Language-Action Models; robotic manipulation; autonomy; planning
1749	MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation Authors: Chengshu Li; Mengdi Xu; Arpit Bahety; Hang Yin; Yunfan Jiang; Huang Huang; Josiah Wong; Sujay Garlanka; Cem Gokmen; Ruohan Zhang; Weiyu Liu; Jiajun Wu; Roberto Martín-Martín; Li F… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Data Generation for Robot Learning; Bimanual Mobile Manipulation; Imitation Learning for Robotics; autonomy; planning
1750	MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents Authors: Yifan Xu; Xiao Liu; Xinghan Liu; Jiaqi Fu; Jiayu Huang; Hanchen Zhang; Bohao Jing; Shudan Zhang; Yuting Wang; Zhao wenyi; Yuxiao Dong Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Mobile Agent; Reinforcement Learning; autonomy; planning
1751	Model Predictive Adversarial Imitation Learning for Planning from Observation Authors: Tyler Han; Yanda Bao; Bhaumik Mehta; Gabriel Guo; Sanghun Jung; Anubhav Vishwakarma; Emily Kang; Rosario Scalise; Jason Liren Zhou; Bryan Xu; Byron Boots Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Imitation Learning; Reinforcement Learning; Model Predictive Control; autonomy; planning
1752	Much Ado About Noising: Dispelling the Myths of Generative Robotic Control Authors: Chaoyi Pan; Giri Anantharaman; Nai-Chieh Huang; Claire Jin; Daniel Pfrommer; Chenyang Yuan; Frank Permenter; Guannan Qu; Nicholas Matthew Boffi; Guanya Shi; Max Simchowitz Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Generative model; Flow; Control; Behavior cloning; autonomy; planning
1753	Natural Language PDDL (NL-PDDL) for Open-world Goal-oriented Commonsense Regression Planning in Embodied AI Authors: Xiaotian Liu; Armin Toroghi; Jiazhou Liang; David Courtis; Ruiwen Li; Ali Pesaranghader; Jaehong Kim; Tanmana Sadhu; Hyejeong Jeon; Scott Sanner Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Open-world Planning; Lifted Regression; Embodied Agents; autonomy; planning
1754	OVSeg3R: Learn Open-vocabulary Instance Segmentation from 2D via 3D Reconstruction Authors: Hongyang Li; Jinyuan Qu; Lei Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: 3D Perception; Open-vocabulary 3D Instance Segmentation; Open-vocabulary 2D Instance Segmentation; autonomy; planning
1755	OccDriver: Future Occupancy Guided Dual-branch Trajectory Planner in Autonomous Driving Authors: Zhao Huang; Bowen Zhang; Zhongzhu Li; Di Lin Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; Trajectory Planning; autonomy; planning
1756	OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning Authors: Yuecheng Liu; DaFeng Chi; Shiguang Wu; Zhanguang Zhang; Yuzheng Zhuang; Bowen Yang; He Zhu; Lingfeng Zhang; Pengwei Xie; David Gamaliel Arcos Bravo; Yingxue Zhang; Jianye HAO; Xin… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied AI; Embodied Reasoning; Spatial Reasoning; Multimodal Large Language Models; 3D Large Language Models; autonomy; planning
1757	OmniNav: A Unified Framework for Prospective Exploration and Visual-Language Navigation Authors: Xinda Xue; Junjun Hu; Minghua Luo; Xie Shichao; Jintao Chen; Zixun Xie; Quan Kuichen; GuoWei; Zedong Chu; Mu Xu; Zhengzhou Zhu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Object-Goal Navigation; Instruct-Goal Navigation; Active Exploration; Policy-Diffusion; autonomy; planning
1758	One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration Authors: Jinbang Huang; Yixin Xiao; Zhanguang Zhang; Mark Coates; Jianye HAO; Yingxue Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Planning Domain Inference; PDDL; Robot Task Planning; Task and Motion Planning; LLMs for Planning; Embodied AI; autonomy; planning
1759	OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning Authors: Fanqi Lin; Ruiqian Nai; Yingdong Hu; Jiacheng You; Junming Zhao; Yang Gao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-Language-Action Models; Embodied Reasoning; autonomy; planning
1760	OpenFly: A COMPREHENSIVE PLATFORM FOR AERIAL VISION-LANGUAGE NAVIGATION Authors: Yunpeng Gao; Chenhui Li; Zhongrui You; Junli Liu; Li Zhen; Pengan CHEN; Qizhi Chen; Zhonghan Tang; Liansheng Wang; Yangpenghui; Yiwen Tang; Yuhang Tang; Shuai Liang; Songyi Zhu; Z… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-and-Language Navigation; multimodal learning; vision-language model; autonomy; planning
1761	Operator Theory-Driven Autoformulation of MDPs for Control of Queueing Systems Authors: Victor Baillet; Yuanzhang Xiao; Nicolás Astorga; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autoformulation; autoformalism; large language model; Markov decision process; queueing systems; autonomy; planning
1762	PA3FF:Learning Part-Aware Dense 3D Feature Field For Generalizable Articulated Object Manipulation Authors: Yue Chen; Muqing Jiang; Kaifeng Zheng; Jiaqi Liang; Chenrui Tie; Haoran Lu; Ruihai Wu; Hao Dong Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotic Manipulation; Imitation Learning; 3D Representation; Generalizable Policy; autonomy; planning
1763	PEERING INTO THE UNKNOWN: ACTIVE VIEW SELECTION WITH NEURAL UNCERTAINTY MAPS FOR 3D RECONSTRUCTION Authors: Zhengquan Zhang; Feng Xu; Mengmi Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Active viewpoint selection; efficient 3D reconstruction; viewpoint sampling; uncertainty-driven learning; autonomy; planning
1764	Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding Authors: Rishabh Jain; Keisuke Okumura; Michael Amir; Pietro Lio; Amanda Prorok Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: hypergraph; group interaction modeling; imitation learning; MAPF; autonomy; planning
1765	PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement Authors: Yian Wang; Han Yang; Minghao Guo; Xiaowen Qiu; Tsun-Hsuan Wang; Wojciech Matusik; Joshua B. Tenenbaum; Chuang Gan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Physical Scene Generation; autonomy; planning
1766	PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model Authors: Wenqi Liang; Gan Sun; Yao He; Jiahua Dong; Suyan Dai; Ivan Laptev; Salman Khan; Yang Cong Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: pixel-level understanding; vision-language-action model; robotics; multimodal large language model; autonomy; planning
1767	Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling Authors: Xiaolong Tang; Meina Kan; Shiguang Shan; Xilin Chen Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Trajectory Planning; Reinforcement Learning; Autonomous Driving; autonomy; planning
1768	Planning with an Embodied Learnable Memory Authors: Priyam Parashar; Jacob Krantz; Matthew Chang; Kavit Shah; Xavier Puig; Roozbeh Mottaghi Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied Memory; Planning; Reinforcement Learning; autonomy; planning
1769	Policy Contrastive Decoding for Robotic Foundation Models Authors: Shihan Wu; Xu Luo; Ji Zhang; Junlin Xie; Jingkuan Song; Heng Tao Shen; Lianli Gao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotic Foundation Models; Contrastive Decoding; autonomy; planning
1770	Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations Authors: Chengzhi Liu; Yuzhe YANG; Kaiwen Zhou; Zhen Zhang; Yue Fan; Yanan Xie; Peng Qi; Xin Eric Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Presentation Generation; Self-improvement; AI for Academic Research; Human-Agent Interaction; autonomy; planning
1771	Primary-Fine Decoupling for Action Generation in Robotic Imitation Authors: Xiaohan Lei; Min Wang; Wengang Zhou; Xingyu Lu; Houqiang Li Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: dexterous manipulation; multi-modal policy; MeanFlow; action decoupling; robot imitation learning; autonomy; planning
1772	ProRe: A Proactive Reward System for GUI Agents via Reasoner–Actor Collaboration Authors: Gaole Dai; Shiqi Jiang; Ting Cao; Yuqing Yang; Yuanchun Li; Rui Tan; Mo Li; Lili Qiu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: LLM; GUI Agent; Reward System; autonomy; planning
1773	RAP: 3D Rasterization Augmented End-to-End Planning Authors: Lan Feng; Yang Gao; Eloi Zablocki; Quanyi Li; Wuyang Li; Sichao Liu; Matthieu Cord; Alexandre Alahi Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; Planning; Sim-to-Real; autonomy; planning
1774	RAVEN: End-to-end Equivariant Robot Learning with RGB Cameras Authors: David Klee; Boce Hu; Andrew Cole; Heng Tian; Dian Wang; Robert Platt; Robin Walters Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotic Manipulation; Policy Learning; Equivariance; autonomy; planning
1775	REI-Bench: Can Embodied Agents Understand Vague Human Instructions in Task Planning? Authors: Chenxi Jiang; Chuhao Zhou; Jianfei Yang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot task planning; vagueness; LLMs; autonomy; planning
1776	RFS: Reinforcement learning with Residual flow steering for dexterous manipulation Authors: Entong Su; Tyler Westenbroek; Anusha Nagabandi; Abhishek Gupta Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotics; reinforcement learning; sim-to-real; autonomy; planning
1777	ROSETTA: Constructing Code-Based Reward from Unconstrained Language Preference Authors: Sanjana Srivastava; Kangrui Wang; Yung-Chieh Chan; Tianyuan Dai; Manling Li; Ruohan Zhang; Mengdi Xu; Jiajun Wu; Li Fei-Fei Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: reward generation; LLMs for robotics; human evaluation; autonomy; planning
1778	RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization Authors: Jiwoo Son; Zhikai Zhao; Federico Berto; Chuanbo Hua; Zhiguang Cao; Changhyun Kwon; Jinkyoo Park Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Vehicle Routing Problem; Graph Learning; Sim-to-real; autonomy; planning
1779	Real-Time Robot Execution with Masked Action Chunking Authors: Haoxuan Wang; Gengyu Zhang; Yan Yan; Yuzhang Shang; Ramana Rao Kompella; Gaowen Liu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Manipulation; Real-time Execution; autonomy; planning
1780	Remotely Detectable Robot Policy Watermarking Authors: Michael Amir; Manon Flageat; Amanda Prorok Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: watermarking; robotics; stochastic policies; autonomy; planning
1781	ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving Authors: Jinqing Zhang; Zehua Fu; zelinxu; wenying.dai; Qingjie Liu; Yunhong Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; End-to-End; World model; autonomy; planning
1782	Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks Authors: Kai Zeng; Zhanqian Wu; Kaixin Xiong; Xiaobao Wei; Xiangyu Guo; Zhenxin Zhu; Kalok Ho; Lijun Zhou; Bohan Zeng; Ming Lu; Haiyang Sun; BING WANG; Guang Chen; Hangjun Ye; Wentao Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; Driving World Model; Perception Tasks; Synthetic Data; autonomy; planning
1783	RoboInter: A Holistic Intermediate Representation Suite Towards Robotic Manipulation Authors: Hao Li; Ziqin Wang; Zi-han Ding; Shuai Yang; Yilun Chen; Yang Tian; Xiaolin Hu; Tai Wang; Dahua Lin; Feng Zhao; Si Liu; Jiangmiao Pang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotics; Manipulation; VLM; LLM; Benchmark; autonomy; planning
1784	RoboOmni: Proactive Robot Manipulation in Omni-modal Context Authors: Siyin Wang; Jinlan Fu; Feihong Liu; Xinzhe He; Huangxuan Wu; Junhao Shi; Kexin Huang; Zhaoye Fei; Jingjing Gong; Zuxuan Wu; Yu-Gang Jiang; See-Kiong Ng; Tat-Seng Chua; Xipeng Qiu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Speech; Robotic Manipulation; Omni-Modal LLMs; Proactive Intention Recognition; autonomy; planning
1785	RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks Authors: Shiying Duan; Pei Ren; Nanxiang Jiang; Zhengping Che; Jian Tang; Zhaoxin Fan; Yifan Sun; wenjun wu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Dual-Arm Robots; LLM-driven Planning; Task Parallelism; autonomy; planning
1786	Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations Authors: Shivansh Patel; Shraddhaa Mohan; Hanlin Mai; Unnat Jain; Svetlana Lazebnik; Yunzhu Li Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Foundation Models based Robot Manipulation; Vision-based Robotics; Generative Video Models; 6D Pose Estimation; autonomy; planning
1787	Robust Fine-tuning of Vision-Language-Action Robot Policies via Parameter Merging Authors: Yajat Yadav; Zhiyuan Zhou; Andrew Wagenmaker; Karl Pertsch; Sergey Levine Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robust fine-tuning; generalist robot policy; model merging; autonomy; planning
1788	SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation Authors: Qianzhong Chen; Justin Yu; Mac Schwager; Pieter Abbeel; Fred Shentu; Philipp Wu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Imitation Learning; Reward Modeling; Robotics Manipulation; autonomy; planning
1789	SLAP: Shortcut Learning for Abstract Planning Authors: Y. Isabel Liu; Bowen Li; Benjamin Eysenbach; Tom Silver Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Planning; Reinforcement Learning; autonomy; planning
1790	SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration Authors: Ye Li; Yuan Meng; Zewen Sun; Kangye Ji; Chen Tang; Jiajun Fan; Xinzhu Ma; Shu-Tao Xia; Zhi Wang; Wenwu Zhu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision Language Action Model; Model Lightweighting; Acceleration; Embodied intelligence; autonomy; planning
1791	SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions Authors: Jeongyong Yang; Seunghwan Jang; SooJean Han Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Flow matching; Control Barrier Functions; Planning; Control; autonomy; planning
1792	Scaling up Memory for Robotic Control via Experience Retrieval Authors: Ajay Sridhar; Jennifer Pan; Satvik Sharma; Chelsea Finn Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Learning; Memory; Vision-Language-Action Models; autonomy; planning
1793	SceneStreamer: Continuous Scenario Generation as Next Token Group Prediction Authors: Zhenghao Peng; Yuxin Liu; Bolei Zhou Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous driving; Closed-loop simulation; Scenario generation; autonomy; planning
1794	Self-Improving Loops for Visual Robotic Planning Authors: Calvin Luo; Zilai Zeng; Mingxi Jia; Yilun Du; Chen Sun Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: visual planning; self-improvement; video models; autonomy; planning
1795	Self-Improving Vision-Language-Action Models with Data Generation via Residual RL Authors: Wenli Xiao; Haotian Lin; Andy Peng; Haoru Xue; Tairan He; Zhengyi Luo; Yuqi Xie; Fengyuan Hu; Linxi Fan; Guanya Shi; Yuke Zhu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: VLA; Robot Foundation Model; Robot Learning; Reinforcement Learning; autonomy; planning
1796	Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning Authors: Carl Qi; Xiaojie Wang; Silong Yong; Stephen Sheng; Huitan Mao; sriram srinivasan; Manikantan Nambi; Amy Zhang; Yesh Dattatreya Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Failure Reasoning; Robotics; Foundation Models; autonomy; planning
1797	Sim2Real VLA: Zero-Shot Generalization of Synthesized Skills to Realistic Manipulation Authors: Runyi Zhao; Sheng Xu; Ruixing Jin; Yueci Deng; Yunxin Tai; Kui Jia; Guiliang Liu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Zero-Shot Sim2Real; Vision-Language-Action (VLA) Model; Long-horizon Manipulation; autonomy; planning
1798	SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning Authors: Haozhan Li; Yuxin Zuo; Jiale Yu; Yuhao Zhang; Yang Zhaohui; Kaiyan Zhang; Xuekai Zhu; Yuchen Zhang; Tianxing Chen; Ganqu Cui; Dehui Wang; Dingxiang Luo; Yuchen Fan; Youbang Sun; J… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: VLA Models; Reinforcement Learning; Bimanual Manipulation; Robot Learning; autonomy; planning
1799	Sparse Imagination for Efficient Visual World Model Planning Authors: Junha Chun; Youngjoon Jeong; Taesup Kim Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: World Model; Planning; Computational Efficiency; Model Predictive Control; Vision Transformer; autonomy; planning
1800	Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model Authors: Fuhao Li; Wenxuan Song; Han Zhao; Jingbo Wang; Pengxiang Ding; Donglin Wang; Long ZENG; Haoang Li Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-language-action Model; Representation Learning; autonomy; planning
1801	SpikePingpong: Spike Vision-based Fast-Slow Pingpong Robot System Authors: Hao Wang; Chengkai Hou; Xianglong Li; Yankai Fu; Chenxuan Li; Ning Chen; Gaole Dai; Jiaming Liu; Tiejun Huang; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotics; Imitation Learning; autonomy; planning
1802	Steerable Adversarial Scenario Generation through Test-Time Preference Alignment Authors: Tong Nie; Yuewen Mei; Yihong Tang; Junlin He; Jie Sun; Haotian Shi; Wei Ma; Jian Sun Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Adversarial Scenario Generation; Autonomous Driving; Traffic Modeling; Test-time Alignment; autonomy; planning
1803	Test-Time Adaptation for LLM Agents via Environment Interaction Authors: Arthur Chen; Zuxin Liu; Jianguo Zhang; Akshara Prabhakar; Zhiwei Liu; Shelby Heinecke; Silvio Savarese; Victor Zhong; Caiming Xiong Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Large Language Model; Agent; Test-Time Adaptation; autonomy; planning
1804	Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments Authors: Jinwoo Jang; Minjong Yoo; Sihyung Yoon; Honguk Woo Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied AI; World model; Mixture of expert; Test time adaptation; Few-shot expansion; autonomy; planning
1805	Time Optimal Execution of Action Chunk Policies Beyond Demonstration Speed Authors: Sunwoo Kim; Jeongjun Kim; Joseph J Lim Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Accelerating Execution Speed of Imitation Policies; Time Optimal Path Parameterization; Test-time Search; autonomy; planning
1806	TrajTok: What makes for a good trajectory tokenizer in behavior generation? Authors: Zhiyuan Zhang; Xiaosong Jia; Guanyu Chen; Qifeng Li; Zuxuan Wu; Yu-Gang Jiang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: behavior generation; tokenizer; autonomous driving; autonomy; planning
1807	Translating Flow to Policy via Hindsight Online Imitation Authors: Yitian Zheng; Zhangchen Ye; Weijun Dong; Shengjie Wang; Yuyang Liu; Chongjie Zhang; Chuan Wen; Yang Gao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotic Manipulation; Imitation Learning; Pixel Flow; autonomy; planning
1808	TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models Authors: Hokyun Im; Euijin Jeong; Andrey Kolobov; Jianlong Fu; Youngwoon Lee Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: VLA; Bimanual manipulation; Imitation Learning; autonomy; planning
1809	UnLoc: Leveraging Depth Uncertainties for Floorplan Localization Authors: Matthias Wüest; Francis Engelmann; Ondrej Miksik; Marc Pollefeys; Daniel Barath Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: floorplan localization; sequential localization; depth uncertainties; mono-depth networks; autonomy; planning
1810	Uncertainty-Aware 3D Reconstruction for Dynamic Underwater Scenes Authors: Rui Liu; Zhibo Duan; Jianzhe Gao; Yi Yang; Wenguan Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Underwater Reconstruction; Dynamic Reconstruction; autonomy; planning
1811	Uncertainty-Aware Gaussian Map for Vision-Language Navigation Authors: Jianzhe Gao; Rui Liu; Yuxuan Xu; Tongtong Cao; Yingxue Zhang; Zhanguang Zhang; Sida Peng; Yi Yang; Wenguan Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-Language Navigation; Unvertainty Estimation; 3D Value Map; Gaussian Splatting; autonomy; planning
1812	Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denosing Diffusion Process Authors: Jiayi Chen; Wenxuan Song; Pengxiang Ding; Ziyang Zhou; Han Zhao; Feilong Tang; Donglin Wang; Haoang Li Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-language-action Model; Unified Multimodal Model; autonomy; planning
1813	Unified Vision-Language-Action Model Authors: Yuqi Wang; Xinghang Li; Wenxuan Wang; Junbo Zhang; Yingyan Li; Yuntao Chen; Xinlong Wang; Zhaoxiang Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: world model; robotics; vision-language-action model; autonomy; planning
1814	UrbanVerse: Scaling Urban Simulation by Watching City-Tour Videos Authors: Mingxuan Liu; Honglin He; Elisa Ricci; Wayne Wu; Bolei Zhou Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Simulation; Real-to-Sim; Sim-to-Real; Digital Twin; Robot Navigation; Reinforcement Learning; autonomy; planning
1815	VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing Authors: Yixiao Wang; Mingxiao Huo; Zhixuan Liang; Yushi Du; Lingfeng Sun; Haotian Lin; Jinghuan Shang; Chensheng Peng; Mohit Bansal; Mingyu Ding; Masayoshi Tomizuka Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Learning; Distillation; Vision Foundation Models; autonomy; planning
1816	VITA: Vision-to-Action Flow Matching Policy Authors: Dechen Gao; BOQI ZHAO; Andrew Lee; Ian Chuang; Hanchu Zhou; Hang Wang; Zhe Zhao; Junshan Zhang; Iman Soltani Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Flow Matching; Robot Learning; Imitation Learning; Robotics; Robotics Policy; Manipulation; autonomy; planning
1817	VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation Authors: Huayi Zhou; Kui Jia Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Bimanual Manipulation; Single Demonstration Learning; Vision-Language Grounding; Skill Generalization; autonomy; planning
1818	VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models Authors: Jianke Zhang; Xiaoyu Chen; Yanjiang Guo; Yucheng Hu; Jianyu Chen Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: VLM; VLA; Empirical Study; autonomy; planning
1819	VLMgineer: Vision-Language Models as Robotic Toolsmiths Authors: George Jiayuan Gao; Tianyu Li; Junyao Shi; Yihan Li; Zizhe Zhang; Nadia Figueroa; Dinesh Jayaraman Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: robotic manipulation; robotic tool use; vision language models; autonomy; planning
1820	Verifier-free Test-Time Sampling for Vision-Language-Action Models Authors: Suhyeok Jang; Dongyoung Kim; Changyeon Kim; Youngsuk Kim; Jinwoo Shin Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-Language-Action Models; Test-Time Scaling; Robotic Manipulation; autonomy; planning
1821	ViPRA: Video Prediction for Robot Actions Authors: Sandeep Routray; Hengkai Pan; Unnat Jain; Shikhar Bahl; Deepak Pathak Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: vision-language-action models; robotics; video prediction; imitation learning; autonomy; planning
1822	Vision-Language-Action Instruction Tuning: From Understanding to Manipulation Authors: Shuai Yang; Hao Li; Bin Wang; Yilun Chen; Yang Tian; Tai Wang; Hanqing Wang; Feng Zhao; Yiyi Liao; Jiangmiao Pang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: vision-language-action model; vision-language model; large language model; autonomy; planning
1823	WMPO: World Model-based Policy Optimization for Vision-Language-Action Models Authors: Fangqi Zhu; YAN Zhengyang; Zicong Hong; Quanxin Shou; Xiao Ma; Song Guo Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: World Models; Vision-Language-Action Models; Reinforcement Learning; autonomy; planning
1824	When a Robot is More Capable than a Human: Learning from Constrained Demonstrators Authors: Xinhu Li; Ayush Jain; Zhaojing Yang; Yigit Korkmaz; Erdem Biyik Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Inverse Reinforcement Learning; Learning from Observations; Learning from Constrained Expert Demonstrations; Robot Learning; autonomy; planning
1825	When would Vision-Proprioception Policies Fail in Robotic Manipulation? Authors: Jingxian Lu; Wenke Xia; Yuxuan Wu; Zhiwu Lu; Di Hu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotic Manipulation; Vision-Proprioception Policy; autonomy; planning
1826	WholeBodyVLA: Towards Unified Latent VLA for Whole-body Loco-manipulation Control Authors: Haoran Jiang; Jin Chen; Qingwen Bu; Li Chen; Modi Shi; Yanjie Zhang; Delong Li; Chuanzhe Suo; wang chuang; zhihui peng; Hongyang Li Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Humanoid Robots; Vision-Language-Action Model; Locomotion and Manipulation; Whole-Body Control; Reinforcement Learning; autonomy; planning
1827	WorldSplat: Gaussian-Centric Feed-Forward 4D Scene Generation for Autonomous Driving Authors: Ziyue Zhu; Zhanqian Wu; Zhenxin Zhu; Lijun Zhou; Haiyang Sun; BING WANG; Kun Ma; Guang Chen; Hangjun Ye; Jin Xie; jian Yang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; Video Generation; autonomy; planning
1828	X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model Authors: Jinliang Zheng; Jianxiong Li; Zhihao Wang; Dongxiu Liu; Xirui Kang; Yuchun Feng; Yinan Zheng; Jiayin Zou; Yilun Chen; Jia Zeng; Tai Wang; Ya-Qin Zhang; Jingjing Liu; Xianyuan Zhan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: robotics; vision language action model; prompt learning; heterogeneous pretrainining; autonomy; planning
1829	villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models Authors: Xiaoyu Chen; Hangxing Wei; Pushi Zhang; Chuheng Zhang; Kaixin Wang; Yanjiang Guo; Rushuai Yang; Yucen Wang; Xinquan Xiao; Li Zhao; Jianyu Chen; Jiang Bian Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: embodied AI; autonomy; planning
1830	A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators Authors: Jiayi Guo; Haoxuan Li; YE TIAN; Peng Wu Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Inference; Conditional Average Treatment Effect; Relative Error; Robust Evaluation
1831	ALM-MTA: Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization Authors: Yuguang Liu; Luyao Xia; Hu Liu; yanzhangxi; Jian Liang; Han Li; Kun Gai Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal reasoning; multi‑touch-attribution; recommendation system
1832	ActiveCQ: Active Estimation of Causal Quantities Authors: Erdun Gao; Dino Sejdinovic Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Quantities; Active Learning; Uncertainty Quantification
1833	Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference Authors: Yuguang Yan; Haolin Yang; Zecong Chen; Weilin Chen; Ruichu Cai; Zhifeng Hao Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal inference
1834	An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes Authors: Emil Javurek; Valentyn Melnychuk; Jonas Schweisthal; Konstantin Hess; Dennis Frauen; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Machine Learning; Doubly Robust Estimation; Neyman-Orthogonality; Markov Decision Process
1835	CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions Authors: Matthew James Vowels; Mathieu Rochat; Sina Akbari Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: transformers; causal inference; causality; inductive bias; DAGs
1836	Causal Discovery via Quantile Partial Effect Authors: Yikang Chen; Xingzhe Sun; Dehui du Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causality; causal discovery; causal order; identifiability; normalizing flow
1837	Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data Authors: Gongxu Luo; Loka Li; Guangyi Chen; Haoyue Dai; Kun Zhang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Post-treatment selection; Selection bias; interventional causal discovery
1838	Coarse-to-Fine Learning of Dynamic Causal Structures Authors: Dezhi Yang; Qiaoyu Tan; Carlotta Domeniconi; Jun Wang; Lizhen Cui; Guoxian Yu Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal discovery; dynamic causality; coarse-to-fine; matrix norm scaling
1839	Conditional Independent Component Analysis for Estimating Causal Structure with Latent Variables Authors: Yewei Xia; Zhengming Chen; Haoyue Dai; Fuhong Wang; Yixin Ren; Yiqing Li; Kun Zhang; Shuigeng Zhou Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Discovery; Latent Structure Learning; Conditional Independent Component Analysis; Sparsity
1840	Counterfactual Structural Causal Bandits Authors: Min Woo Park; Sanghack Lee Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal inference; counterfactual inference; structural causal bandits; causal decision making
1841	Debiased Front-Door Learners for Heterogeneous Effects Authors: Yonghan Jung Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Front-door adjustment; Heterogeneous treatment effects; Debiased learning; Quasi-oracle rates; DR-Learner; R-Learner
1842	Designing Time Series Experiments in A/B Testing with Transformer Reinforcement Learning Authors: Xiangkun Wu; Qianglin Wen; Yingying Zhang; Hongtu Zhu; Ting Li; Chengchun Shi Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Experiment Designs; A/B Testing; Reinforcement Learning
1843	Direct Doubly Robust Estimation of Conditional Quantile Contrasts Authors: Josh Givens; Song Liu; Henry Reeve; Katarzyna Reluga Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Heterogeneous Treatment Effect; Conditional Quantile Treatment Effect; Quantile Regression; Doubly Robust
1844	Efficient Ensemble Conditional Independence Test Framework for Causal Discovery Authors: Zhengkang Guan; Kun Kuang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Conditional Independence Testing; Causal Discovery; P-value Combination
1845	Efficient and Sharp Off-Policy Learning under Unobserved Confounding Authors: Konstantin Hess; Dennis Frauen; Valentyn Melnychuk; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: policy learning; causal inference; unobserved confounding; partial identification
1846	Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning Authors: Marcel Wienöbst; Leonard Henckel; Sebastian Weichwald Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Discovery; Bayesian Networks; DAGs; Structure Learning
1847	Foundation Models for Causal Inference via Prior-Data Fitted Networks Authors: Yuchen Ma; Dennis Frauen; Emil Javurek; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Inference; Treatment Effect Estimation; Foundation Models
1848	Frequency-Domain Better than Time-Domain for Causal Structure Recovery in Dynamical Systems on Networks Authors: Mohammed Tuhin Rana; Mishfad Shaikh Veedu; James Melbourne; Murti Salapaka Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Inference; Wiener Filter; Fast Fourier Transform; Graphical Model
1849	Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Authors: Xinxi Lyu; Michael Duan; Rulin Shao; Pang Wei Koh; Sewon Min Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: retrieval-augmented language model; RAG; reasoning; datastore; dense retrieval
1850	GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes Authors: Valentyn Melnychuk; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal machine learning; orthogonal learning; deep generative models; potential outcomes estimation
1851	IGC-Net for conditional average potential outcome estimation over time Authors: Konstantin Hess; Dennis Frauen; Valentyn Melnychuk; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal inference; potential outcomes; treatment effects; healthcare
1852	Independence Test for Linear Non-Gaussian Data and Applications in Causal Discovery Authors: Yiqing Li; Xiaofei Wang; Boyang Sun; Yewei Xia; Kun Zhang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: independence tests; Causal discovery
1853	Influence without Confounding: Causal Discovery from Temporal Data with Long-term Carry-over Effects Authors: Fan Li; Zixuan Liu; Yi Zhao; Qi Tan; Jinyang Li; Ke Xu; Shuihai Hu; jingbin zhou; TAN Kun Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Discovery; Reinforcement Learning; QR Decomposition; Long-term Carry-over Effects
1854	Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference Authors: Qianyi Chen; Anpeng Wu; Bo Li; Lu Deng; Yong Wang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal inference; A/B test; network interference; cluster-level randomization
1855	Learning Dynamic Causal Graphs Under Parametric Uncertainty via Polynomial Chaos Expansions Authors: Liang Cao Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Discovery; Polynomial Chaos Expansion; Parametric Uncertainty; Functional Causal Models; Uncertainty Quantification
1856	Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects Authors: Shishir Adhikari; Sourav Medya; Elena Zheleva Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal inference; peer effects; network interference; exposure mapping function; graph neural network
1857	Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Authors: Armin Kekić; Jan Schneider; Dieter Büchler; Bernhard Schölkopf; Michel Besserve Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Abstraction; Causal Representation Learning; Reinforcement Learning; Explainable AI
1858	Matching without Group Barrier for Heterogeneous Treatment Effect Estimation Authors: Yuguang Yan; Haolin Yang; Shihao Zhang; Weilin Chen; Ruichu Cai; Zhifeng Hao Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal inference; matching
1859	Modeling Interference for Treatment Effect Estimation in Network Dynamic Environment Authors: Qiang Huang; Jin Tian Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Dynamic Network; Interference; Causality
1860	Multiverse Mechanica: A Testbed for Learning Game Mechanics via Counterfactual Worlds Authors: Robert Ness; Ricardo Cannizzaro; Yunshu Wu; Lars Kunze Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal generative modelling; Game generative AI models; Counterfactual reasoning
1861	Neural Force Field: Few-shot Learning of Generalized Physical Reasoning Authors: Shiqian Li; Ruihong Shen; Yaoyu Tao; Chi Zhang; Yixin Zhu Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Physical reasoning; few-shot learning
1862	On the Identifiability of Causal Graphs with the Invariance Principle Authors: Francesco Montagna Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal discovery; heterogeneous data; multiple environment; nonlinear independent component analysis
1863	Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation Authors: Valentyn Melnychuk; Dennis Frauen; Jonas Schweisthal; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal machine learning; treatment effect estimation
1864	Overlap-weighted orthogonal meta-learner for treatment effect estimation over time Authors: Konstantin Hess; Dennis Frauen; Mihaela van der Schaar; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal inference; heterogeneous treatment effects; time-varying treatments; meta-learners; machine learning for healthcare
1865	Privacy-Protected Causal Survival Analysis Under Distribution Shift Authors: Yi Liu; Alexander W. Levis; Ke Zhu; Shu Yang; Peter B. Gilbert; Larry Han Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Time-to-event outcome; Conditional distribution shifts; Semiparametric efficiency theory; Federated learning
1866	Query-Specific Causal Graph Pruning Under Tiered Knowledge Authors: Yizuo Chen; Jane E. Barker Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Inference; Graph Pruning; Tiered Knowledge
1867	Score-based Greedy Search for Structure Identification of Partially Observed Causal Models Authors: Xinshuai Dong; Ignavier Ng; Haoyue Dai; Jiaqi Sun; Xiangchen Song; Peter Spirtes; Kun Zhang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Discovery; Latent Variable
1868	Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens Authors: Yunlong Deng; Boyang Sun; Yan Li; Zeyu Tang; Lingjing Kong; Kun Zhang; Guangyi Chen Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causality; Reasoning Tasks; Selection Mechanism
1869	Stochastic Neural Networks for Causal Inference with Missing Confounders Authors: Yaxin Fang; Faming Liang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Adaptive Stochastic Gradient MCMC; Causal Inference; Latent Variable Model; Missing Confounder; Stochastic Neural Network
1870	Structure Learning from Time-Series Data with Lag-Agnostic Structural Prior Authors: Taiyu Ban; Changxin Rong; Xiangyu Wang; Lyuzhou Chen; Yanze Gao; Xin Wang; Huanhuan Chen Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Continuous DAG structure learning; dynamic causal discovery; structure learning from time series data
1871	Theoretical Guarantees for Causal Discovery on Large Random Graphs Authors: Mathieu Chevalley; Arash Mehrjou; Patrick Schwab Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causality; causal discovery; theoretical guarantees; single-variable interventions; large-scale causal discovery
1872	Topological Causal Effects Authors: Kwangho Kim; Hajin Lee Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: topological data analysis; causal inference; doubly robust estimator; persistence landscape; Silhouettes; persistent homology
1873	3DCS: Datasets and Benchmark for Evaluating Conformational Sensitivity in Molecular Representations Authors: Xi Wang; Yang Zhang; Yingjia Zhang; Yejia Cai; Shenji Wan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Molecule Benchmark; AI for Science
1874	A Benchmark for Deep Information Synthesis Authors: Debjit Paul; Daniel Murphy; Milan Gritta; Ronald Cardenas; Victor Prokhorov; Lena Sophia Bolliger; Aysim Toker; Roy Miles; Andreea-Maria Oncescu; Jasivan Alex Sivakumar; Philipp B… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Deep Information Synthesis; LLM agents; Deep Research; AI agents
1875	A High Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation Authors: Yukang Feng; Jianwen Sun; Chuanhao Li; Zizhen Li; Jiaxin Ai; Fanrui Zhang; Sizhuo Zhou; Yifan Chang; Shenglin Zhang; Yu Dai; Kaipeng Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: high-quality dataset; multimodal dataset; interleaved image-text synergy; interleaved evaluation
1876	A Statistical Benchmark for Diffusion-Posterior-Sampling Algorithms Authors: Martin Zach; Youssef Haouchat; Michael Unser Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Diffusion models; Bayesian inverse problems; statistical evaluation; Gibbs sampling
1877	A Structured, Tagged, and Localized Visual Question Answering Dataset with Full Sentence Answers and Scene Graphs for Chest X-ray Images Authors: Philip Müller; Friederike Jungmann; Georgios Kaissis; Daniel Rueckert Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: VQA; Localization; Vision-Language Modeling; Medical Imaging; Chest X-Rays; Scene Graphs
1878	A2ASecBench: A Protocol-Aware Security Benchmark for Agent-to-Agent Multi-Agent Systems Authors: Tianhao Li; Chuangxin Chu; Yujia Zheng; Bohan Zhang; Neil Zhenqiang Gong; Chaowei Xiao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Agent-to-agent protocol; multi-agent systems; security benchmark
1879	ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems Authors: Xin Gui; King Zhu; JinCheng Ren; Qianben Chen; Zekun Moore Wang; Yizhi LI; Xinpeng Liu; REN WENLI; Linyu Miao; Tianrui Qin; Ziqi Shu; He Zhu; Dingfeng Shi; Jiaheng Liu; Yuchen Ele… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmark; LLM; Agent
1880	ACPBench Hard: Unrestrained Reasoning about Action, Change, and Planning Authors: Harsha Kokel; Michael Katz; Kavitha Srinivas; Shirin Sohrabi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Planning; Dataset and Benchmark; Large Language Models
1881	AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations Authors: Cheng Jiayang; Dongyu Ru; Lin Qiu; Yiyang Li; Xuezhi Cao; Yangqiu Song; Xunliang Cai Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: memory; agent; long-context
1882	ASCIIEval: Benchmarking Models' Visual Perception in Text Strings via ASCII Art Authors: Qi Jia; Xiang Yue; Shanshan Huang; Ziheng Qin; Yizhu Liu; Bill Yuchen Lin; Yang You; Guangtao Zhai Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM evaluation; MLLM evaluation; ASCII art; Visual Perception
1883	ATLAS: Alibaba Dataset and Benchmark for Learning-Augmented Scheduling Authors: Zhiyun Jiang; Tianming Zhao; Chunqiu xia; Albert Zomaya Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Scheduling with predictions; Dataset and benchmark; Machine learning; Learning augmented scheduling; Non-clairvoyant scheduling
1884	AbdCTBench: Learning Clinical Biomarker Representations from Abdominal Surface Geometry Authors: Muhammad Ahmed Chaudhry; Suhana Bedi; Pola Lydia Lagari; Brian T Layden; William Galanter; Ayis Pyrros; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: computer vision for healthcare; radiology; Computed Tomography (CT); vision transformers; CNNs
1885	Aegis: Automated Error Generation and Attribution for Multi-Agent Systems Authors: Fanqi Kong; Ruijie Zhang; Huaxiao Yin; Guibin Zhang; Xiaofei Zhang; Ziang Chen; Zhaowei Zhang; Xiaoyuan Zhang; Song-Chun Zhu; Xue Feng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-Agent Systems; Failure attribution; Automated data generation
1886	AetherCode: Evaluating LLMs’ Ability to Win In Premier Programming Competitions Authors: Zihan Wang; Jiaze Chen; Zhicheng Liu; Haojie Pan; Markus Mak; Yidi Du; Geonsik Moon; Aaron Tua; Kunshuo Peng; Jiayi Lu; Boqian Zou; Chenyang Ran; GuangTian; Shoutai Zhu; Duan Yehe… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Model; Reasoning; Code LLM; Benchmark
1887	Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks Authors: Tajamul Ashraf; Amal Saqib; Hanan Gani; Muhra AlMahri; Yuhao Li; Noor Ahsan; Umair Nawaz; Jean Lahoud; Hisham Cholakkal; Mubarak Shah; Philip Torr; Fahad Shahbaz Khan; Rao Muhamma… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Vision centric Agents; Deep Reasoning; VLMs; Tool Use Evaluation
1888	AirQA: A Comprehensive QA Dataset for AI Research with Instance-Level Evaluation Authors: Tiancheng Huang; Ruisheng Cao; Yuxin Zhang; Zhangyi Kang; Zijian Wang; Chenrun Wang; Yijie LUO; Hang Zheng; Lirong Qian; Lu Chen; Kai Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: question answering; supervised fine-tuning; trajectory synthesis
1889	AlphaBench: Benchmarking Large Language Models in Formulaic Alpha Factor Mining Authors: Haochen Luo; Ho Tin Ko; Jiandong Chen; David Sun; Yuan Zhang; Chen Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Alpha Mining; LLM Benchmark; LLM Agent; Data Science and Engineering
1890	Ambig-SWE: Interactive Agents to Overcome Underspecificity in Software Engineering Authors: Sanidhya Vijayvargiya; Xuhui Zhou; Akhila Yerukola; Maarten Sap; Graham Neubig Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Ambiguity; Underspecificity; SWE Agent; Software Engineering; Clarification; Evaluation; Interaction
1891	AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs Authors: Xiang Feng; Wentao Jiang; Zengmao Wang; Yong Luo; Pingbo Xu; Baosheng Yu; Hua Jin; Jing Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large language model; Reasoning; Anesthesiology; Medicine
1892	ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning Authors: Zhao Jin; Zhengping Che; Tao Li; Zhen Zhao; Kun Wu; Yuheng Zhang; Yinuo Zhao; Zehui Liu; Qiang Zhang; Xiaozhu Ju; Jing Tian; Yousong Xue; Jian Tang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Robot Learning; Articulated Object; Digital Twin
1893	AudioTrust: Benchmarking The Multifaceted Trustworthiness of Audio Large Language Models Authors: Kai Li; Can Shen; Yile Liu; Jirui Han; Kelong zheng; Xuechao Zou; Lionel Z. WANG; Shun Zhang; Xingjian Du; Hanjun Luo; Yingbin Jin; Xinxin Xing; Ziyang Ma; Yue Liu; YiFan Zhang; J… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Audio Large Language Model
1894	Aurelius: Relation Aware Text-to-Audio Generation At Scale Authors: Yuhang He; He Liang; Yash Jain; Andrew Markham; Vibhav Vineet Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Relation Aware Text-to-Audio Generaion; Audio Event Corpus; Relation Corpus
1895	AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory Authors: Zhiqian Lan; Yuxuan Jiang; Ruiqi Wang; Xuanbing Xie; Rongkui Zhang; Yicheng Zhu; LI PEIHANG; Tianshuo Yang; Tianxing Chen; Haoyu Gao; Xiaokang Yang; Xuelong Li; Hongyuan Zhang; Ya… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: robotics; robot learning; vision language action model; biology experimental operation; AI for science
1896	AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators Authors: Changzhi Zhou; Ao Liu; Yuchi Deng; Zhiying Zeng; Tao Zhang; Haotian Zhu; Jianwei Cai; Yue Mao; Chenchen Zhang; Lingyun Tan; ZiyanXU; Bohui Zhai; HengyiLIu; Speed Zhu; Wiggin Zhou;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: code generation; benchmark; autocodebench; llm
1897	AutoFly: Vision-Language-Action Model for UAV Autonomous Navigation in the Wild Authors: Xiaolou Sun; Wufei Si; Wenhui Ni; Yuntian Li; Dongming Wu; Fei Xie; Runwei Guan; He-Yang Xu; Henghui Ding; Yuan Wu; Yutao Yue; Yongming Huang; Hui Xiong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: UAV; vision-language-action model; robot learning
1898	Automatic Image-Level Morphological Trait Annotation for Organismal Images Authors: Vardaan Pahuja; Samuel Stevens; Alyson East; Sydne Record; Yu Su Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: morphological traits; morphological trait annotation; ecology; trait description generation
1899	BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change Authors: Manuela González-González; Soufiane Belharbi; Muhammad Osama Zeeshan; Masoumeh Sharafi; Muhammad Haseeb Aslam; Marco Pedersoli; Alessandro Lameiras Koerich; Simon L Bacon; Eric Gr… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Ambivalence; hesitancy; affective computing; emotion recognition in videos; multimodal; eHealth; behavioral change
1900	BANZ-FS: BANZSL Fingerspelling Dataset Authors: Xin Shen; Yan Ke; Xinyu Wang; Xin Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Sign Language; BANZSL; Fingerspelling
1901	BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, Rerankers and LLMs Authors: Ilias Aarab Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: zero-shot classification; cross-encoder; embedding models; reranker; benchmark; classification tasks; NLPzero-shot classification; cross-encoder; embedding mod…
1902	Battery Fault: A Comprehensive Dataset and Benchmark for Battery Fault Diagnosis Authors: Qingdi Liu; Yan Fu; Lishuo LIU; Yanke LIN; Jin Xin; Jianfeng Zhang; Cheng Hao Liu; Lujia Pan; Dongxu Guo; Yuejiu Zheng; Qiang Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Lithium-ion batteries; Fault diagnosis; Benchmark dataset; Generative modeling; Time series analysis
1903	Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs Authors: Xuwei Tan; Ziyu Hu; Xueru Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI Fairness; AI & Society; Utility-Fairness Trade-off; Visual-language models
1904	Benchmarking LLM Tool-Use in the Wild Authors: Peijie Yu; Wei Liu; Yifan Yang; Jinjian Li; Zelong Zhang; Xiao Feng; feng zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmarking; automatic evaluation of datasets; evaluation methodologies; evaluation; metrics; reproducibility; statistical testing for evaluation
1905	Benchmarking Open-ended Segmentation Authors: Cristina González; Santiago Rodriguez; Kevis-kokitsi Maninis; Jordi Pont-Tuset; Pablo Arbelaez Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmarking; Open-ended Segmentation; Evaluation Protocol; Lexical Alignment
1906	Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks Authors: Andrii Kliachkin; Jana Lepšová; Gilles Bareilles; Jakub Marecek Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Fair Machine Learning; stochastic approximation; Augmented Lagrangian; Sequential Quadratic Programming; benchmarking
1907	Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks Authors: Miao Jing; Mengting Jia; Junling Lin; Zhongxia Shen; Huan Gao; Mingkun Xu; Shangyang Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: vision-language models; benchmark dataset; medical AI evaluation; reasoning-intensive tasks
1908	Beyond Text-Only: Towards Multimodal Table Retrieval in Open-World Authors: Da Li; Keping Bi; Jiafeng Guo; Wei Yuan; Fan Yang; Tingting Gao; Xueqi Cheng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Table Retrieval; MultiModal Retrieval
1909	Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs Authors: Mohammad Tavakoli; Alireza Salemi; Carrie Ye; Mohamed Abdalla; Hamed Zamani; J Ross Mitchell Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: long-term memory; conversation; retrieval-augmented generation
1910	BeyondBench: Contamination-Resistant Evaluation of Reasoning in Language Models Authors: Gaurav Srivastava; Aafiya Shamshad Hussain; Zhenyu Bi; Swastik Roy; Priya Pitre; Meng Lu; Morteza Ziyadi; Xuan Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmarking; evaluation; large language models; reasoning
1911	Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems Authors: Szymon Pawlonka; Mikołaj Małkiński; Jacek Mańdziuk Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Vision Language Models; Abstract Visual Reasoning; Bongard Problems
1912	CAGE: A Framework for Culturally Adaptive Red-Teaming Benchmark Generation Authors: Chaeyun Kim; YongTaek Lim; Kihyun Kim; Junghwan Kim; Minwoo Kim Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI Safety; Red-Teaming; Safety Alignment; Korean Red-Teaming
1913	CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization Authors: Yicheng Hu; Xinyu Lin; Shulin Li; Wenjie Wang; Fengbin ZHU; Fuli Feng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Subcellular Localization; Human Protein; 3D Structure
1914	CHAMMI-75: Pre-training multi-channel models with heterogeneous microscopy images Authors: Vidit Agrawal; John Peters; Tyler N. Thompson; Mohammad Vali Sanian; Chau Pham; Nikita Moshkov; Arshad Kazi; Aditya Pillai; Jack Freeman; Byunguk Kang; Samouil L. Farhi; Ernest Fr… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: microscopy; representation learning; multi-channel imaging; self-supervised learning; biology
1915	CIMemories: A Compositional Benchmark For Contextual Integrity In LLMs Authors: Niloofar Mireshghallah; Neal Mangaokar; Narine Kokhlikyan; Arman Zharmagambetov; Manzil Zaheer; Saeed Mahloujifar; Kamalika Chaudhuri Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Contextual Integrity; Inference-time Privacy; Input-output flow
1916	CLARC: C/C++ Benchmark for Robust Code Search Authors: Kaicheng Wang; Liyan Huang; Weike Fang; Weihang Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Code Search; Benchmark; Robustness
1917	CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics Authors: Weida Wang; Dongchen Huang; Jiatong LI; Tengchao Yang; Ziyang Zheng; Chuyi Peng; Di Zhang; Dong Han; Benteng Chen; Binzhao Luo; Zhiyu Liu; kunling liu; Zhiyuan Gao; Shiqigeng; Wei… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM Benchmark; Condensed Matter Physics; LLM Evaluation; AI for Physics
1918	CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers Authors: Haining Pan; James V Roggeveen; Erez Berg; Juan Felipe Carrasquilla Alvarez; Debanjan Chowdhury; Surya Ganguli; Federico Ghimenti; Juraj Hasik; Henry S. Hunt; Hong-Chen Jiang; Mas… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large language model; statistical mechanics; benchmark; evaluation; numerical methods; scientific problem solving; condensed matter physics; quantum physics
1919	CTBench: Cryptocurrency Time Series Generation Benchmark Authors: Yihao Ang; Qiang Wang; Qiang Huang; Yifan Bao; Xinyu Xi; Anthony Kum Hoe Tung; Chen Jin; Zhiyong Huang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Time Series Generation; Crypto-centric Benchmark; Cryptocurrency Markets; Financial Evaluation Measure Suite
1920	CaReBench: A Fine-grained Benchmark for Video Captioning and Retrieval Authors: Yifan Xu; Xinhao Li; Yichun Yang; Desen Meng; Rui Huang; Limin Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Fine-grained Video Retrieval; Video Detailed Captioning
1921	Can Large Language Models Match the Conclusions of Systematic Reviews? Authors: Christopher Polzak; Alejandro Lozano; Min Woo Sun; James Burgess; Yuhui Zhang; Kevin Wu; Chia-Chun Chiang; Jeffrey J Nirschl; Serena Yeung-Levy Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmarks; Multi-document Reasoning; Medical AI
1922	Can Vision-Language Models Answer Face to Face Questions in the Real-World? Authors: Reza Pourreza; Rishit Dagli; Apratim Bhattacharyya; Sunny Panchal; Guillaume Berger; Roland Memisevic Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Situated Dataset; Multi-Modal Dataset; Vision Language Models
1923	Can Vision–Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective. Authors: Ruichuan An; Shizhao Sun; Danqing Huang; Mingxi Cheng; Yan Gao; Ji Li; YU QIAO; Jiang Bian Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Vision Language Models; Design aesthetics
1924	Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation Authors: Luca Miglior; Matteo Tolloso; Alessio Gravina; Davide Bacciu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: graph neural network; long-range propagation; benchmark; dataset
1925	Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions Authors: Wang Bill Zhu; Tian-qi Chen; Xinyan Velocity Yu; Ching Ying Lin; Jade Law; Mazen Jizzini; Jorge J. Nieva; Ruishan Liu; Robin Jia Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Medical benchmark; LLM evaluation; LLM sycophancy; Medical agent; Adversarial generation
1926	Characterizing Deep Research: A Benchmark and Formal Definition Authors: Abhinav Java; Ashmit Khandelwal; Sukruta Prakash Midigeshi; Aaron Halfaker; Amit Deshpande; Navin Goyal; Ankur Gupta; Nagarajan Natarajan; Amit Sharma Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Evaluation; Deep Research
1927	ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation Authors: Zhen Li; Duan Li; Yukai Guo; Xinyuan Guo; Bowen Li; Lanxi Xiao; Shenyu Qiao; Jiashu Chen; Zijian Wu; Hui Zhang; Xinhuan Shu; Shixia Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Infographic Chart; Chart Understanding; Code Generation; Chart Generation; Dataset
1928	Charts Are Not Images: On the Challenges of Scientific Chart Editing Authors: Li Li; Ryan A. Rossi; Sungchul Kim; Sunav Choudhary; Franck Dernoncourt; Puneet Mathur; Zhengzhong Tu; Yue Zhao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Scientific Chart Editing; Benchmark
1929	ChemEval: A Multi-level and Fine-grained Chemical Capability Evaluation for Large Language Models Authors: Yuqing Huang; Rongyang Zhang; Xuesong He; Xuyang Zhi; Hao Wang; Nuo Chen; Zongbo Liu; Xin Li; Feiyang Xu; Deguang Liu; Huadong Liang; YiLi; Jian Cui; Yin Xu; Shijin Wang; Qi Liu;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Benchmark; Chemical Knowledge Inference
1930	Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs Authors: Hengwei Ye; Yuanting Guan; Yuxuan Ge; Tianying Zhu; Yijia Zhong; YiJing Zhang; Han Zhang; Yingna Wu; Zheng Tian Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; MLLM; Reasoning
1931	ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents Authors: Jie-Jing Shao; Bo-Wen Zhang; Xiao-Wen Yang; Baizhi Chen; Siyu Han; Pang Jinghao; Wen-Da Wei; Guohao Cai; Zhenhua Dong; Lan-Zhe Guo; Yu-Feng Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmarking; Travel Planning; Neuro-Symbolic Learning; LLM Planning
1932	ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks Authors: Liyang He; Yuren Zhang; Ziwei Zhu; lizhenghui; Shiwei Tong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Retrieval Augmented Generation; Dynamic Benchmarking; Dual Dynamics; User Interest Drift; Gaming; Player-Centric Evaluation
1933	CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design Authors: Mingjun Wang; Yihan Wen; Yuntao Lu; Fengrui Liu; Yuxiang Zhao; Boyu Han; Jianan Mu; Yibo Lin; Runsheng Wang; Bei Yu; Huawei Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Dataset; Benchmark; Machine learning; Electric design automatic
1934	CircuitSense: A Hierarchical MLLM Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process Authors: Arman Akbari; Jian Gao; Yifei Zou; Mei Yang; Jinru Duan; Dmitrii Torbunov; Yanzhi Wang; Yihui Ren; Xuan Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Mathematical Reasoning Benchmark; Circuit Benchmark; Symbolic Reasoning; Equation Derivation
1935	CityLens: Evaluating Large Vision-Language Models for Urban Socioeconomic Sensing Authors: Tianhui Liu; Hetian Pang; Xin Zhang; Tianjian Ouyang; Zhiyuan Zhang; Jie Feng; Yong Li; Pan Hui Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-modal Large Language Model; Socioeconomic Prediction; Urban Imagery; Urban Science; Benchmark
1936	CitySeeker: How Do VLMs Explore Embodied Urban Navigation with Implicit Human Needs? Authors: Siqi Wang; Chao Liang; Yunfan Gao; Erxin Yu; Sen Li; Jing Li; Haofen Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Embodied Urban Navigation; Vision-Language Models; Urban Intelligence; Spatial Cognition; Urban Planning
1937	ClarifyVC: Clarifying Ambiguous Commands in Vehicle Control with a Hybrid Data Augmentation Pipeline Authors: Hange Zhou; Zhonglin Jiang; yingjie cui; Mingzhe Zhang; Xiaotang Wang; Hengwei Dai; Qiyao Yu; Yong Chen; Yongqi Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Interactive Control Systems; Clarification-First Dialogue; Ambiguity Resolution; Hybrid Data Augmentation; Function-Calling Language Models; Human Validation a…
1938	CoNavBench: Collaborative Long-Horizon Vision-Language Navigation Benchmark Authors: Tianhang Wang; Xinhai Li; Fan Lu; Tianshi Gong; Jiankun Dong; Weiyi Xue; Sanqing Qu; Chenjia Bai; Guang Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: collaborative vision-and-language navigation; LLM agents; benchmark
1939	Code2Bench: Scaling Source and Rigor for Dynamic Benchmark Construction Authors: Zhe Zhang; Runlin Liu; Aishan Liu; Xingyu Liu; Xiang Gao; Hailong Sun Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Dynamic Benchmark Construction; LLM Evaluation
1940	CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning Authors: Monoshi Kumar Roy; Simin Chen; Benjamin Steenhoek; Jinjun Peng; Gail Kaiser; Baishakhi Ray; Wei Le Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Code Semantics; Benchmark; LLM
1941	CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density Authors: Daniel Kaiser; Arnoldo Frigessi; Ali Ramezani-Kebrya; Benjamin Ricaud Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmark; LLM; reasoning; long-context reasoning; Cognitive Load Theory; CLT; synthetic benchmark; natural language benchmark; intrinsic difficulty; extraneou…
1942	Computer Agent Arena: Toward Human-Centric Evaluation and Analysis of Computer-Use Agents Authors: Bowen Wang; Xinyuan Wang; Jiaqi Deng; Tianbao Xie; Ryan Li; Yanzhe Zhang; Junli Wang; Dunjie Lu; Zicheng Gong; Gavin Li; Toh Jing Hua; Wei-Lin Chiang; Ion Stoica; Diyi Yang; Yu Su… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Computer-Use Agent; Visual Language Model; Human-in-the-loop; Evaluation
1943	Constantly Improving Image Models Need Constantly Improving Benchmarks Authors: Jiaxin Ge; Grace Luo; Heekyung Lee; Nishant Malpani; Long Lian; XuDong Wang; Aleksander Holynski; Trevor Darrell; Sewon Min; David M. Chan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: unified model; image generation benchmark; native multimodal model
1944	Cost-of-Pass: An Economic Framework for Evaluating Language Models Authors: Mehmet Hamza Erol; Batu El; Mirac Suzgun; Mert Yuksekgonul; James Zou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: economic evaluation framework; language-model evaluation; cost‑performance trade‑off; inference time techniques
1945	Credit-Budgeted ICPC-Style Coding: When Agents Must Pay for Every Decision Authors: Lingfeng Zhou; Junhao Shi; Jin Gao; Dequan Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Coding Agents; Large Language Models; Agent Evaluation; Interactive Environment
1946	CrossPL: Systematic Evaluation of Large Language Models for Cross Programming Language Interoperating Code Generation Authors: zhanhang xiong; Dongxia Wang; Yuekang Li; Xinyuan An; Wenhai Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: cross programming language interactions; LLM based workflow; benchmark; code generation
1947	CubeBench: Diagnosing Interactive, Long-Horizon Physical Intelligence under Partial Observations Authors: Huan-ang Gao; Zikang Zhang; Tianwei Luo; Kaisen Yang; Xinzhe Juan; Jiahao Qiu; Tianxing Chen; Bingxiang He; Hao Zhao; Hao Zhou; Shilong Liu; Mengdi Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Agent; Benchmark; Spatial Reasoning; Long Horizon; Tool Calling
1948	Culture In a Frame: C$^3$B as a Comic-Based Benchmark for Multimodal Culturally Awareness Authors: Yuchen Song; Andong Chen; Wenxin Zhu; Kehai Chen; Xuefeng Bai; Muyun Yang; Tiejun Zhao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Cultural Awareness; Cross-Cultural Benchmark; Comics; Multilingual Evaluation; Multitask Evaluation
1949	Customizing Visual Emotion Evaluation for MLLMs: An Open-vocabulary, Multifaceted, and Scalable Approach Authors: Daiqing Wu; Dongbao Yang; Sicheng Zhao; Can Ma; Yu ZHOU Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MLLM; Visual Emotion Evaluation
1950	DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle Authors: Fangyu Lei; Jinxiang Meng; Yiming Huang; Junjie zhao; Yitong Zhang; Jianwen Luo; Xin Zou; Ruiyi Yang; Wenbo Shi; Yan Gao; Shizhu He; Jun Zhao; Zuo Wang; Qian Liu; Yang Wang; WANG… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Data Agent; Code Generation; LLM Benchmark
1951	DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science Authors: Fan Shu; Yite Wang; Ruofan Wu; Boyi Liu; Zhewei Yao; Yuxiong He; Feng Yan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; Dataset; Benchmark; Data Science
1952	DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning Authors: Weize Liu; Yongchi Zhao; Yijia Luo; Mingyu Xu; Jiaheng Liu; Yanan Li; Xiguo Hu; ZhiqiBai; Yuchi Xu; Wenbo Su; Bo Zheng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Data Synthesis; Synthetic Data; Reasoning; Post-Training; Supervised Fine-Tuning
1953	DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning Authors: Fan Li; Xiaoyang Wang; Wenjie Zhang; Ying Zhang; Xuemin Lin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: hypergraph neural networks; deep hypergraph learning; comprehensive benchmark
1954	DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction Authors: Jiayang Shi; Daniel Pelt; Joost Batenburg Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmark; dataset; inverse problem; computed tomography; diffusion models; reconstruction
1955	DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning Authors: Zhiwei He; Tian Liang; Jiahao Xu; Qiuzhi Liu; Xingyu Chen; Yue Wang; Linfeng Song; Dian Yu; Zhenwen Liang; Wenxuan Wang; Zhuosheng Zhang; Rui Wang; Zhaopeng Tu; Haitao Mi; Dong Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: llm; math; reasoning
1956	DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents Authors: Mingxuan Du; Benfeng Xu; Chiwei Zhu; Licheng Zhang; Xiaorui Wang; Zhendong Mao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM based Agent; Evaluation; Deep Research
1957	Demystifying Deep Search: A Holistic Evaluation with Hint-free Multi-Hop Questions and Factorised Metrics Authors: Maojia Song; Liu Renhang; Xinyu Wang; Yong Jiang; Pengjun Xie; Fei Huang; Soujanya Poria; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Deep Search Agent
1958	Detecting Data Contamination in LLMs via In-Context Learning Authors: Michał Zawalski; Meriem Boubdir; Klaudia Bałazy; Besmira Nushi; Pablo Ribalta Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; Contamination; In-context learning
1959	DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle Authors: Yuheng Tang; Kaijie Zhu; Bonan Ruan; Chuqi Zhang; Michael Yang; Hongwei Li; Suyue Guo; Tianneng Shi; Zekun Li; Christopher Kruegel; Giovanni Vigna; Dawn Song; William Yang Wang; L… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Agent; Tool Call
1960	DiscoX: Benchmarking Discourse-Level Translation in Expert Domains Authors: Xiying ZHAO; Zhoufutu Wen; Zhixuan Chen; Jingzhe Ding; Jianpeng Jiao; Shuai Li; Xi Li; Danni Liang; Shengda Long; Qianqian Liu; Xianbo Wu; Hongwan Gao; Xiang Gao; LIANG HU; Jiashu… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: translation; discourse-level; expert-level; benchmark; LLM; automatic evaluation system
1961	Do 3D Large Language Models Really Understand 3D Spatial Relationships? Authors: Xianzheng Ma; TAO SUN; Shuai Chen; Yash Sanjay Bhalgat; Jindong Gu; Angel X Chang; Iro Armeni; Iro Laina; Songyou Peng; Victor Adrian Prisacariu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: 3D-LLM; 3D spatial reasoning; 3D Situated QA; 3D-QA
1962	Do LLM Agents Know How to Ground, Recover, and Assess? Evaluating Epistemic Competence in Information-Seeking Agents Authors: Jiaqi Shao; Yuxiang Lin; Munish Prasad Lohani; Yufeng Miao; Bing Luo Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Epistemic Competence; Evidence-Grounded Reasoning; LLM Search Agents
1963	Do LLMs Forget What They Should? Evaluating In-Context Forgetting in Large Language Models Authors: Yuli Qian; Zechuan Yang; Wenbiao Ding; Hongzhi Li; Yutao Xie Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Context Management; In-Context Forgetting
1964	Do Vision-Language Models Respect Contextual Integrity in Location Disclosure? Authors: Ruixin Yang; Ethan Mendes; Arthur Wang; James Hays; Sauvik Das; Wei Xu; Alan Ritter Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmarking; NLP datasets; Evaluation Methodologies; Privacy; Geolocation; VLM; Contextual Integrity
1965	Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing Authors: Ziyun Zeng; David Junhao Zhang; Wei Li; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Image Editing; Image Generation; Unified Multimodal Model; Multimodal
1966	DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving Authors: Yang Zhou; Hao Shao; Letian Wang; Zhuofan Zong; Hongsheng Li; Steven L. Waslander Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Autonomous Driving; Generative World Model
1967	EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements Authors: Issa Sugiura; Takashi Ishida; Taro Makino; Chieko Tazuke; Takanori Nakagawa; Kosuke Nakago; David Ha Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Financial Large language models; Financial benchmark; Accounting fraud detection; Earnings forecast
1968	EIP: Weighted Ranking of LLMs by Quantifying Question Difficulty Authors: Xingjian Hu; Ziqian Zhang; Yue Huang; Kai Zhang; Ruoxi Chen; Yixin Liu; Qingsong Wen; Kaidi Xu; Xiangliang Zhang; Neil Zhenqiang Gong; Lichao Sun Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Large Language Model; Evaluation; PageRank
1969	ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction Authors: Qineng Wang; Wenlong Huang; Yu Zhou; Hang Yin; Tianwei Bao; Jianwen Lyu; Weiyu Liu; Ruohan Zhang; Jiajun Wu; Li Fei-Fei; Manling Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Embodied Agents; Vision Language Models; Benchmarking; World Modeling
1970	EXP-Bench: Can AI Conduct AI Research Experiments? Authors: Patrick Tser Jern Kon; Qiuyi Ding; Jiachen Liu; Xinyi Zhu; Jingjia Peng; Jiarong Xing; Yibo Huang; Yiming Qiu; Jayanth Srinivasa; Myungjin Lee; Mosharaf Chowdhury; Matei Zaharia;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI Agents; AI for Science; Research Experimentation
1971	EarthSE: A Benchmark Evaluating Earth Scientific Exploration Capability for Large Language Models Authors: Wanghan Xu; Xiangyu Zhao; Yuhao Zhou; Xiaoyu Yue; Ben Fei; Fenghua Ling; Wenlong Zhang; LEI BAI Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large language model; science; earth; benchmark
1972	Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play? Authors: Ouxiang Li; Yuan Wang; Xinting Hu; Huijuan Huang; Rui Chen; Jiarong Ou; Xin Tao; Pengfei Wan; Xiaojuan Qi; Fuli Feng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Text-to-Image Generation; Reasoning; Benchmark
1973	EchoMind: An Interrelated Multi-level Benchmark for Evaluating Empathetic Speech Language Models Authors: Li Zhou; Lutong Yu; You Lyu; Yihang Lin; Zefeng Zhao; Junyi Ao; Yuhao Zhang; Benyou Wang; Haizhou Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Speech Language Models; Empathetic Dialogue; Multi‑Stage Evaluation; Benchmark; Voice Cues
1974	EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing Authors: Tianyu Chen; Yasi Zhang; Zhi Zhang; Peiyu Yu; Shu Wang; Zhendong Wang; Kevin Lin; Xiaofei Wang; Zhengyuan Yang; Linjie Li; Chung-Ching Lin; Jianwen Xie; Oscar Leong; Lijuan Wang;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-turn editing benchmark; image editing
1975	EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing Authors: Keming Wu; Sicong Jiang; Max Ku; Ping Nie; Minghao Liu; Wenhu Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Image Editing; Reward Model; Generative Model Evaluation
1976	EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video Authors: Ryan Hoque; Peide Huang; David J. Yoon; Mouli sivapurapu; Jian Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: egocentric video; manipulation; embodied ai; robotics
1977	EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark Authors: Deheng Zhang; Yuqian Fu; Runyi Yang; Yang Miao; Tianwen Qian; Xu Zheng; Guolei Sun; Ajad Chhatkuli; Xuanjing Huang; Yu-Gang Jiang; Luc Van Gool; Danda Pani Paudel Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Egocentric vision; Benchmark; MLLMs; VQA
1978	EmoPrefer: Can Large Language Models Understand Human Emotion Preferences? Authors: Zheng Lian; Licai Sun; Lan Chen; Haoyu Chen; Zebang Cheng; Fan Zhang; Ziyu Jia; Ziyang Ma; Fei Ma; Xiaojiang Peng; Jianhua Tao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: multimodal emotion recognition; descriptive emotions; EmoPrefer; EmoPrefer-Data; EmoPrefer-Bench
1979	Evaluating Cross-Modal Reasoning Ability and Problem Characteristics with Multimodal Item Response Theory Authors: Shunki Uebayashi; Kento Masui; Kyohei Atarashi; Han Bao; Hisashi Kashima; Naoto Inoue; Mayu Otani; Koh Takeuchi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: VLM; Evaluation; IRT
1980	Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Authors: Yuanzhe Hu; Yu Wang; Julian McAuley Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM Agents; Agents with Memory; Memory Agents Benchmark; Evaluation for Memory
1981	Evaluating Text Creativity across Diverse Domains: a Dataset and Large Language Model Evaluator Authors: Qian Cao; Xiting Wang; Yuzhuo Yuan; Yahui Liu; Fang Luo; Ruihua Song Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: creativity evaluation; text evaluation
1982	Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models Authors: Zengbin Wang; Xuecai Hu; Yong Wang; Feng Xiong; Man Zhang; Xiangxiang Chu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Text-to-Image Generative Evaluation; Spatial Intelligence
1983	ExpGuard: LLM Content Moderation in Specialized Domains Authors: Minseok Choi; Dongjin Kim; Seungbin Yang; Subin Kim; Youngjun Kwak; Juyoung Oh; Jaegul Choo; Jungmin Son Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Safety; Guardrails; Moderation; Domain Specialization; LLM
1984	ExpVid: A Benchmark for Experiment Video Understanding & Reasoning Authors: Yicheng Xu; Yue Wu; Jiashuo Yu; Ziang Yan; Tianxiang Jiang; Yinan He; Qingsong Zhao; Kai Chen; Yu Qiao; Limin Wang; Manabu Okumura; Yi Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Video Large Language Model; Nature Science; Benchmark
1985	Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis Authors: Xuanzhong Chen; Zile Qiao; Guoxin Chen; Liangcai Su; Zhen Zhang; Xinyu Wang; Pengjun Xie; Fei Huang; Jingren Zhou; Yong Jiang; Ting Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: data synthesis; multidisciplinary benchmark; LLM agents
1986	ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists Authors: Jie Ruan; Inderjeet Jayakumar Nair; Shuyang Cao; Amy Liu; Sheza Munir; Micah Pollens-Dempsey; Yune-Ting Tiffany Chiang; Lucy R. Kates; Nicholas David; Sihan Chen; Ruxin Yang; Yuqi… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: expert-level evaluation; long-form evaluation; fine-grained evaluation
1987	Exploring Real-Time Super-Resolution: Benchmarking and Fine-Tuning for Streaming Content Authors: Evgeney Bogatyrev; Khaled Abud; Ivan Molodetskikh; Nikita Alutis; Dmitriy S. Vatolin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: super-resolution; dataset; benchmark; real-time; quality assessment; video compression
1988	Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems Authors: Qifan Zhang; Jianhao Ruan; Aochuan Chen; Kang ZENG; Nuo Chen; Jing Tang; Jia Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Reasoning Models; Graph Algorithm Problems; Large Language Models
1989	FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels Authors: Jiedong Jiang; Wanyi He; Wang Yuefeng; Guoxiong Gao; Yongle Hu; Jingting Wang; Nailin Guan; Peihao Wu; Bryan Dai; Liang Xiao; Bin Dong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Formal Theorem Proving; Benchmark; Mathematical Reasoning; Formalization; Algebra; Lean
1990	FETAL-GAUGE: A BENCHMARK FOR ASSESSING VISION-LANGUAGE MODELS IN FETAL ULTRASOUND Authors: Hussain Alasmawi; Numan Saeed; Mohammad Yaqub Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Vision-Language Models; Fetal Ultrasound; Visual Question Answering
1991	FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Authors: Rongyao Fang; Aldrich Yu; Chengqi Duan; Linjiang Huang; Shuai Bai; Yuxuan Cai; Kun Wang; Si Liu; Xihui Liu; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Text-to-image; Reasoning; Generation chain-of-thought; dataset; benchmark
1992	FREAK: A Fine-grained Hallucination Evaluation Benchmark for Advanced MLLMs Authors: Zhihan Yin; Jianxin Liang; Yueqian Wang; Yifeng Yao; Huishuai Zhang; Dongyan Zhao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MLLM; VLM; Hallucination; Benchmark; Chain-of-Thought
1993	FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models Authors: Jiyoon Pyo; Yuankun Jiao; Dongwon Jung; Zekun Li; Leeje Jang; Sofia Kirsanova; Jina Kim; Yijun Lin; Qin Liu; Junyi Xie; Hadi Askari; Nan Xu; Muhao Chen; Yao-Yi Chiang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large vision-language model; multi-step reasoning; multi-image reasoning; mapvqa
1994	FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning Authors: Xu Shen; Song Wang; Zhen Tan; Laura Yao; Xinyu Zhao; Kaidi Xu; Xin Wang; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Model; Benchmark; Chain of Thought
1995	FeatureBench: Benchmarking Agentic Coding for Complex Feature Development Authors: Qixing Zhou; JiaCheng Zhang; Haiyang Wang; Rui Hao; Jiahe Wang; Minghao Han; Yuxue Yang; Shuzhe Wu; Feiyang Pan; Lue Fan; Dandan Tu; Zhaoxiang Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Agentic Coding; Benchmark; Large Language Models
1996	FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning Authors: LIANG HU; Jianpeng Jiao; Jiashuo Liu; Dongyuan Mutu; Yanle Ren; Zhoufutu Wen; Kaiyuan Zhang; Xuanliang Zhang; Xiang Gao; Tianci He; FEI HU; Yali Liao; Zaiyuan Wang; Jingkai Liu; S… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Agent Benchmark; Financial Search; Financial Reasoning
1997	FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents Authors: Qinglong Yang; Haoming Li; Haotian Zhao; Xiaokai Yan; Jingtao Ding; Fengli Xu; Yong Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Mobile Agent; LLM Agent; GUI; Proactive Agent; Personalization
1998	FlowGen: Synthesizing Diverse Flowcharts to Enhance and Benchmark MLLM Reasoning Authors: Kaiwen Shi; Sichen Liu; Ziyue Lin; Hangrui Guo; Gong Cheng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: flowchart parsing; flowchart QA; flowchart synthesis
1999	ForestPersons: A Large-Scale Dataset for Under-Canopy Missing Person Detection Authors: Deokyun Kim; Jeongjun Lee; Jungwon Choi; Jonggeon Park; Giyoung Lee; Yookyung Kim; Myungseok Ki; Juho Lee; Jihun Cha Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Missing Person Detection; UAV-based Search and Rescue; Forest Environment Dataset
2000	FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory Authors: Xiao-Wen Yang; Zihao Zhang; Jianuo Cao; Zhi Zhou; Zenan Li; Lan-Zhe Guo; Yuan Yao; Taolue Chen; Yu-Feng Li; Xiaoxing Ma Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language model; Neural Theorem Proving; Machine Learning Theory
2001	From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics Authors: Bowen Cao; Dongdong Zhang; Yixia Li; Junpeng Liu; Shijue Huang; Chufan Shi; Hongyuan Lu; Yaokang Wu; Guanhua Chen; Wai Lam; Furu Wei Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Mathematical Reasoning; Evaluation
2002	From Assistant to Independent Developer — Are GPTs Ready for Software Development? Authors: Dezhi Ran; Yuan Cao; Mengzhou Wu; Simin Chen; Yuzhe Guo; Jun Ren; Zihe Song; Hao Yu; Jialei Wei; Linyi Li; Wei Yang; Baishakhi Ray; Tao Xie Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: software dvelopment; app development; coding agent; LLM; code model
2003	From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database Agents Authors: Gyubok Lee; Woosog Chay; Heeyoung Kwak; Yeong Hwa Kim; Haanju Yoo; Oksoon Jeong; Meong Hi Son; Edward Choi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Database Agents; LLM Agents; EHR-QA; DB-QA
2004	From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization Authors: Haonian Ji; Shi Qiu; Siyang Xin; Siwei Han; Zhaorun Chen; Dake Zhang; Hongyi Wang; Huaxiu Yao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: education; agent; benchmark; llm; application; visualisation
2005	From Medical Records to Diagnostic Dialogues: A Clinical-Grounded Approach and Dataset for Psychiatric Comorbidity Authors: Tianxi Wan; Jiaming Luo; Siyuan Chen; Kunyao Lan; chenjianhua; Haiyang Geng; Mengyue Wu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Psychiatric Comorbidity; Diagnostic Dialogue; EMR Dataset; Multi-Agent Simulation
2006	From Natural Alignment to Conditional Controllability in Multimodal Dialogue Authors: Zeyu Jin; Songtao Zhou; Haoyu Wang; Minghao Tian; Kaifeng Yun; Zhuo Chen; Xiaoyu Qin; Jia Jia Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal dialogue dataset; Multimodal conditional dialogue generation; Spoken dialogue generation
2007	From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking Authors: Gyeongwon James Kim; Alex Wilf; Louis-Philippe Morency; Daniel Fried Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: agents; research agents; coding agents; benchmark
2008	From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning Authors: Seungdong Yoa; Sanghyu Yoon; Suhee Yoon; Dongmin Kim; Ye Seul Sim; Junhyun Lee; Woohyung Lim Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Agent-centric benchmark; Language model assessment; Textual anomaly detection; Adaptive benchmarks
2009	FrontierCO: Real-World and Large-Scale Evaluation of Machine Learning Solvers for Combinatorial Optimization Authors: Shengyu Feng; Weiwei Sun; Shanda Li; Ameet Talwalkar; Yiming Yang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Combinatorial Optimization; Graph Neural Networks; Large Language Models
2010	FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction Authors: Zhiyuan Zeng; Jiashuo Liu; Siyuan Chen; Tianci He; Yali Liao; Yixiao Tian; wangjinpeng.levi; Zaiyuan Wang; YangYang; Lingyue Yin; Mingren Yin; Zhu Zhenwei; Tianle Cai; Xinjie Chen… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Future Prediction; Agent
2011	GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning Authors: Jie Peng; Jiarui Ji; Runlin Lei; Zhewei Wei; Yongchao Liu; Chuntao Hong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Dynamic Text-Attributed Graph; Dynamic Graph Generation
2012	GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks Authors: Tejal Patwardhan; Rachel Dias; Elizabeth Proehl; Grace Kim; Michele Wang; Olivia Watkins; Simon Posada Fishman; Marwan Aljubeh; Phoebe Thacker; Laurance Fauconnet; Natalie S. Kim;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmark; real-world tasks; RL environments; model evaluation; reinforcement learning; AI impacts; dataset; evals; benchmarks; multi-modal; computer use; agen…
2013	GEM: A Gym for Generalist LLMs Authors: Zichen Liu; Anya Sims; Keyu Duan; Changyu Chen; Simon Yu; Xiangxin Zhou; Haotian Xu; Shaopan Xiong; Bo Liu; Chenmien Tan; Weixun Wang; Hao Zhu; Weiyan Shi; Diyi Yang; Michael Qizh… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: environment; gym; llm; multi-turn; reinforcement learning
2014	GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra Authors: Mateusz Michalkiewicz; Anekha Sokhal; Tadeusz Michalkiewicz; Piotr Pawlikowski; Mahsa Baktashmotlagh; Varun Jampani; Guha Balakrishnan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Geometric Reasoning; Benchmarking; Foundation Models
2015	GIR-Bench: Versatile Benchmark for Generating Images with Reasoning Authors: Hongxiang Li; Yaowei Li; Bin Lin; Yuwei Niu; Yuhang Yang; Xiaoshuang Huang; Jiayin Cai; Xiaolong Jiang; Yao Hu; Long Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Evaluation; Unified Multimodal Model; Visual Generation
2016	GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Models Authors: Qinghongbing Xie; Zhaoyuan Xia; Feng Zhu; Lijun GONG; Ziyue Li; Rui Zhao; Long ZENG Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Spatial-Temporal Intelligence; Geo-temporal Reasoning; Visual-Language Models
2017	Generate Any Scene: Scene Graph Driven Data Synthesis for Visual Generation Training Authors: Ziqi Gao; Weikai Huang; Jieyu Zhang; Aniruddha Kembhavi; Ranjay Krishna Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: synthetic data; synthetic caption; scene graph; text-to-image generation
2018	GeoBench: Rethinking Multimodal Geometric Problem-Solving via Hierarchical Evaluation Authors: Yuan Feng; Yue Yang; Xiaohan He; Jiatong Zhao; Jianlong Chen; Daocheng Fu; Qi Liu; Renqiu Xia; Bo Zhang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: geometric problem solving; benchmark
2019	GeoGramBench: Benchmarking the Geometric Program Reasoning in Modern LLMs Authors: Shixian Luo; Zhu zezhou; Yu Yuan; Yuncheng Yang; Lianlei Shan; Yong Wu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Geometry Spatial Representation; Procedural Geometry Reasoning
2020	GeomMotif: A Benchmark for Arbitrary Geometric Preservation in Protein Generation Authors: Pavel Strashnov; Andrey Shevtsov; Viacheslav Meshchaninov; Olga Kardymon; Dmitry Vetrov Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: protein design; generative models; motif scaffolding; geometric preservation; deep learning; benchmark; structural biology
2021	GhostEI-Bench: Do Mobile Agent Resilience to Environmental Injection in Dynamic On-Device Environments? Authors: Chiyu Chen; Xinhao Song; Yunkai Chai; Yang Yao; Haodong Zhao; Lijun Li; Jie Li; Yan Teng; Gongshen Liu; Yingchun Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Mobile Agents; Environmental Injection; Benchmark; GUI Agent Safety
2022	Gistify: Codebase-Level Understanding via Runtime Execution Authors: Hyunji Lee; Minseon Kim; Chinmay Singh; Matheus Pereira; Atharv Sonwane; Isadora White; Elias Stengel-Eskin; Mohit Bansal; Zhengyan Shi; Alessandro Sordoni; Marc-Alexandre Côté; X… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: codebase-level understanding; runtime code execution; coding agent benchmark
2023	GneissWeb: Preparing High Quality Data for LLMs at Scale Authors: Hajar Emami Gohari; Swanand Ravindra Kadhe; Yousaf Shah; Constantin M Adam; Abdulhamid Adebayo; Praneet Adusumilli; Farhan Ahmed; Nathalie Baracaldo; Santosh Subhashrao Borse; Yua… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Modes; Pre-training datasets; Data quality; Evaluation benchmarks
2024	Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments Authors: Di Wen; Lei Qi; Kunyu Peng; Kailun Yang; Fei Teng; Ao Luo; Jia Fu; Yufan Chen; Ruiping Liu; Yitian Shi; M. Saquib Sarfraz; Rainer Stiefelhagen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Microgravity; Action Recognition; Vision-Language Understanding
2025	Go-Browse: Training Web Agents with Structured Exploration Authors: Apurva Gandhi; Graham Neubig Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM Agents; Web Agents; Synthetic Data; Exploration
2026	GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-theoretic Tasks Authors: Hao Xu; Xiangru Jian; Xinjian Zhao; Wei Pang; Chao Zhang; Suyuchen Wang; Qixin Zhang; Zhengyuan Dong; Joao Monteiro; Bang Liu; Qiuzhuang Sun; Tianshu Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; Benchmark and Evaluation; Prompt Optimization
2027	GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization Authors: Louis Van Langendonck; Guillermo Bernardez; Nina Miolane; Pere Barlet-Ros Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Graph Neural Networks; Synthetic Dataset Generation; Graph Benchmarking
2028	Grounding Computer Use Agents on Human Demonstrations Authors: Aarash Feizi; Shravan Nayak; Xiangru Jian; Kevin Qinghong Lin; Kaixin Li; Rabiul Awal; Xing Han Lù; Johan Obando-Ceron; Juan A. Rodriguez; Nicolas Chapados; David Vazquez; Adriana… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: computer use agents; dataset; multimodal large language models
2029	HARDTESTGEN: A High-Quality RL Verifier Generation Pipeline for LLM Algorithmic Coding Authors: Zhongmou He; Yee Man Choi; Kexun Zhang; Ivan Bercovich; Jiabao Ji; Junting Zhou; Dejia Xu; Aidan Zhang; Yixiao Zeng; Lei Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLMs; RLVR; code generation
2030	HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals Authors: Xianquan Yan; Hakan Akgün; Kenji Kawaguchi; N. Duane Loh; Ching Hua Lee Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: graph-level learning; spatial network; multigraph; dataset generator; large-scale dataset; condensed matter physics; non-Hermitian physics; topological physics…
2031	HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models Authors: Zhaolu Kang; Junhao Gong; Jiaxu Yan; Wanke Xia; Yian Wang; Zhuo Cheng; Wenhao Cao; Ziwen Wang; ZhiYuan Feng; Huaxuan Ding; Siqi He; Shannan Yan; Xiaomin He; Junzhe Chen; Chaoya Ji… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MLLMs; Benchmark; Dataset; Humanities and Social Sciences
2032	HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks Authors: Adnan El Assadi; Isaac Chung; Roman Solomatin; Niklas Muennighoff; Kenneth Enevoldsen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Human Evaluation; Embeddings; MTEB; Benchmarking; NLP; Multilingual
2033	HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities Authors: Xiaoxue Ren; Penghao Jiang; Kaixin Li; Zhiyong Huang; Xiaoning Du; Jiaojiao Jiang; Zhenchang Xing; Jiamou Sun; Terry Yue Zhuo Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: computer use agents; llms; evaluation
2034	HardcoreLogic: Challenging Large Reasoning Models with Long-tail Logic Puzzle Games Authors: Jingcong Liang; Shijun Wan; Xuehai Wu; Yitong Li; Qianglong Chen; Duyu Tang; Siyuan Wang; zhongyu wei Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: long-tail benchmark; logic puzzle games; large reasoning model
2035	Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in LLMs Authors: Soyeon Kim; Jindong Wang; Xing Xie; Steven Euijong Whang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models Benchmarking and Evaluation; Time-Sensitive Question-Answering
2036	HeurekaBench: A Benchmarking Framework for AI Co-scientist Authors: Siba Smarak Panigrahi; Jovana Videnović; Maria Brbic Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: agents; benchmarks for agents; LLMs; single-cell biology
2037	HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization Authors: Hongzheng Chen; Yingheng Wang; Yaohui Cai; Hins Hu; Jiajie Li; Shirley Huang; Chenhui Deng; Rongjian Liang; Shufeng Kong; Haoxing Ren; Samitha Samaranayake; Carla P Gomes; Zhiru Z… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Large Language Models; Combinatorial Optimization; Code Generation; Agent; Automatic Heuristic Generation
2038	How Do Medical MLLMs Fail? A Study on Visual Grounding in Medical Images Authors: Guimeng Liu; Tianze Yu; Somayeh Ebrahimkhani; Lin Zhi Zheng Shawn; Kok Pin Ng; Ngai-Man Cheung Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Medical MLLM; Visual Grounding
2039	How Many Code and Test Cases Are Enough? Evaluating Test Cases Generation from a Binary-Matrix Perspective Authors: Xianzhen Luo; JinYang Huang; Wenzhen Zheng; Qingfu Zhu; Mingzheng Xu; Yiheng Xu; YuanTao Fan; Wanxiang Che Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Code LLMs; Benchmark; Evaluation; Test Case
2040	How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation. Authors: Prabhant Singh; Sibylle Hess; Joaquin Vanschoren Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Ananlysis; Transferability
2041	Human Behavior Atlas: Benchmarking Unified Psychological And Social Behavior Understanding Authors: Keane Ong; Wei Dai; Carol Li; Dewei Feng; Hengzhi Li; Jingyao Wu; Jiaee Cheong; Rui Mao; Gianmarco Mengaldo; Erik Cambria; Paul Pu Liang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Learning; Unified Models; Benchmarking; Transfer Learning; Human Behavior
2042	Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction Authors: Xiang Li; Jiabao Gao; Sipei Lin; Xuan Zhou; Chi Zhang; Bo Cheng; Jiale Han; Benyou Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Speech-to-Speech (S2S) Systems; Human-Likeness Evaluation; Turing-Test
2043	Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models Authors: Yuansen Liu; Haiming Tang; Jinlong Peng; Jiangning Zhang; Xiaozhong Ji; Qingdong He; Donghao Luo; Zhenye Gan; Junwei Zhu; Yunhang Shen; Chaoyou Fu; Chengjie Wang; Xiaobin Hu; Shui… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Multimodal Large Language Models
2044	HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes Authors: Keliang Li; Hongze Shen; Hao Shi; RuiBing Hou; Hong Chang; Jie Huang; Chenghao Jia; Wen Wang; Yiling Wu; Dongmei Jiang; Shiguang Shan; Xilin Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: human-centric vision; multi-modal large language models; evaluation; video reasoning
2045	IF-VidCap: Can Video Caption Models Follow Instructions? Authors: Shihao Li; Yuanxing Zhang; Jiangtao Wu; Zhide Lei; Yiwen He; Runzhe Wen; Chenxi Liao; Chengkang Jiang; An Ping; Shuo Gao; Suhan Wang; Zhaozhou Bian; Zijun Zhou; Jingyi Xie; Jiayi… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Video Caption; Instruction-following; Benchmark
2046	IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs Authors: David Ma; Yuanxing Zhang; JinCheng Ren; Jiawei Guo; Yifan Yao; Zhenlin Wei; Zhenzhu Yang; Zhongyuan Peng; Boyu Feng; Jun Ma; 顾潇; King Zhu; Zhoufutu Wen; Yancheng He; Meng Cao; Wan… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Image-Grounded Video Perception and Reasoning; Multimodal llms; Benchmark
2047	IVEBench: Modern Benchmark Suite for Instruction-Guided Video Editing Assessment Authors: Yinan Chen; Jiangning Zhang; Teng Hu; Yuxiang Zeng; Zhucun Xue; Qingdong He; Chengjie Wang; Yong Liu; Xiaobin Hu; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Instruction-guided video editing; Benchmark suite; Multimodal large language models; Evaluation metrics
2048	IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video? Authors: Yang Chen; Minghao Liu; Yufan Shen; Yunwen Li; Tianyuan Huang; Xinyu Fang; Tianyu Zheng; Wenxuan Huang; Cheng Yang; Licheng Wen; Xuemeng Yang; Daocheng Fu; Jianbiao Mei; Rong Wu;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmark; mllm; web
2049	Ice Cream Doesn’t Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference Authors: Jin Du; Li Chen; Xun Xian; An Luo; Fangqiao Tian; Ganghua Wang; Charles Doss; Xiaotong Shen; Jie Ding Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Model; Causal inference
2050	Image Quality Assessment for Embodied AI Authors: Chunyi Li; Jiahao Xiao; Jianbo Zhang; Farong Wen; Zicheng Zhang; Yuan Tian; Xiangyang Zhu; Xiaohong Liu; Zhengxue Cheng; Weisi Lin; Guangtao Zhai Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Image Quality Assessment; Image Processing; Perceptual Quality; Embodied AI
2051	ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks Authors: Samin Mahdizadeh Sani; Max Ku; Nima Jamali; Matina Mahdizadeh Sani; Paria Khoshtab; Wei-Chieh Sun; Parnian Fazel; Zhi Rui Tam; Thomas Chong; Edisy Kin Wai Chan; Donald Wai Tong Ts… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Image Generation; Image Editing; Evaluation; Benchmark
2052	InclusiveVidPose: Bridging the Pose Estimation Gap for Individuals with Limb Deficiencies in Video-Based Motion Authors: Heming Du; Jiaying Ying; Sen Wang; Xue Li; Kaihao Zhang; Xin Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Disabled person; Individuals with limb deficiencies; dataset; human pose estimation
2053	InfoDet: A Dataset for Infographic Element Detection Authors: Jiangning Zhu; Yuxing Zhou; Zheng Wang; Juntao Yao; Yima Gu; Yuhui Yuan; Shixia Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Infographics; visual reasoning; grounded chain-of-thought; object detection; dataset
2054	InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents Authors: Yaxin Du; Yuanshuo Zhang; Xiyuan Yang; Yifan Zhou; Cheng Wang; Gongyi Zou; Xianghe Pang; WenHao Wang; Menglan Chen; Shuo Tang; Siheng Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM Agents; Tool-Augmented Agents; Model Context Protocol
2055	InnoGym: Benchmarking the Innovation Potential of AI Agents Authors: Jintian Zhang; Kewei Xu; Jingsheng Zheng; Zhuoyun Yu; Yuqi Zhu; Yujie Luo; Lanning Wei; Shuofei Qiao; Lun Du; Da Zheng; Shumin Deng; Huajun Chen; Ningyu Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: innovation; agent; benchmark
2056	InnovatorBench: Evaluating Agents’ Ability to Conduct Innovative AI Research Authors: Yunze Wu; Dayuan Fu; Weiye Si; Zhen Huang; Mohan Jiang; Keyu Li; Shijie Xia; Jie Sun; Tianze Xu; Yang Xiao; Pengrui Lu; Xiaojie Cai; Lyumanshan Ye; Wenhong Zhu; Xiangkun Hu; Pengf… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: InnovatorBench; ResearchGym; End-to-End Evaluation
2057	InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models Authors: Haomin Wang; Jinhui Yin; Qi Wei; Wenguang Zeng; Lixin Gu; Shenglong Ye; Zhangwei Gao; Yaohui Wang; Yanting Zhang; Yuanqi Li; Yanwen Guo; Wenhai Wang; Kai Chen; Yu Qiao; Hongjie Zh… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Scalable Vector Graphic; Multimodal Large Language Models; Dataset and Benchmark
2058	InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models Authors: Nianchen Deng; Lixin Gu; Shenglong Ye; Yinan He; Zhe Chen; Songze Li; Haomin Wang; Jinhui Yin; Qi Wei; Tianshuo Yang; Min Dou; Tong He; Wenqi Shao; Kaipeng Zhang; Yi Wang; Botian… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Vision Language Models; Spatial Reasoning; Visual Question Answering
2059	Internal Evaluation of Density-Based Clusterings with Noise Authors: Anna Beer; Lena Krieger; Pascal Weber; Martin Ritzert; Ira Assent; Claudia Plant Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Evaluation; Clustering; Unsupervised Learning
2060	Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions? Authors: Qinyan Zhang; Xinping Lei; Ruijie Miao; FU YU; Haojie Fan; Le Chang; Jiafan Hou; Dingling Zhang; Zhongfei Hou; ZiqiangYang; Changxin PU; FEI HU; Jingkai Liu; Jiaheng Liu; Tong Yan… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Instruction Following; Large Language Model
2061	Is Graph Unlearning Ready for Practice? A Benchmark on Efficiency, Utility, and Forgetting Authors: Samyak Jain; Ronak Kalvani; sainyam galhotra; Sayan Ranu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: graph unlearning; GNN; graph neural network
2062	Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review Authors: Sungduk Yu; Man Luo; Avinash Madasu; Vasudev Lal; Phillip Howard Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Machine Learning Evaluation; Benchmark Datasets; Robustness in NLP; Large Language Models (LLMs); Generative AI; Human–AI Alignment; Ethical Considerations in…
2063	JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models Authors: Zifan Peng; Yule Liu; Zhen Sun; Mingchen Li; Zeren Luo; Jingyi Zheng; Wenhan Dong; Xinlei He; Xuechao Wang; Yingjie Xue; Shengmin Xu; Xinyi Huang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AudioLM; ALM; Benchmark; Dataset; Jailbreak Attacks
2064	JailNewsBench: Multi-Lingual and Regional Benchmark for Fake News Generation under Jailbreak Attacks Authors: Masahiro Kaneko; Ayana Niwa; Timothy Baldwin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: fake news; jailbreak; llm; multilingual
2065	JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation Authors: Jianghan Chao; jianzhang gao; Wenhui Tan; Yuchong Sun; Ruihua Song; Liyun Ru Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-modal Large Language Model Benchmark; Omni-Large Language Model; Video Understanding
2066	KRAMABENCH: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes Authors: Eugenie Lai; Gerardo Vitagliano; Ziyu Zhang; Om Chabra; SIVAPRASAD SUDHIR; Anna Zeng; Anton A. Zabreyko; Chenning Li; Ferdi Kossmann; Jialin Ding; Jun Chen; Markos Markakis; Matth… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: data science agents; data science; data wrangling; data analysis; data management; reasoning; agentic systems
2067	Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation Authors: Israfel Salazar; Manuel Fernández Burda; Shayekh Bin Islam; Arshia Soltani Moakhar; Shivalika Singh; Fabian Farestam; Angelika Romanou; Danylo Boiko; Dipika Khullar; Mike Zhang; D… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: multilingual benchmarks; vision-language models; multimodal evaluation; cultural diversity; low-resource languages; machine learning evaluation
2068	LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis Authors: Md Ahsanul Haque; Ismail Hossain; Md Mahmuduzzaman Kamol; Md Jahangir Alam; Suresh kumar Amalapuram; Sajedul Talukder; Mohammad Saidur Rahman Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Machine Learning; Android Malware; Concept Drift Analysis; Explainability; Dataset Benchmark
2069	LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models Authors: Ruilin Yao; Bo Zhang; Jirui Huang; Xinwei Long; Yifang Zhang; Tianyu Zou; Shili Xiong; Yi Rong; Yufei Wu; Shichao Su; Yifan Xu; Wenxi Zeng; Zhaoyu Yang; Guoyou Li; Shilan Zhang; Z… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MLLMs; Multimodal reasoning; Synergistic effects
2070	LEXam: Benchmarking Legal Reasoning on 340 Law Exams Authors: Yu Fan; Jingwei Ni; Jakob Merane; Yang Tian; Yoan Hermstrüwer; Yinya Huang; Mubashara Akhtar; Etienne Salimbeni; Florian Geering; Oliver Dreyer; Daniel Brunner; Markus Leippold; M… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; legal reasoning; long-form; multiple-choice; question answering
2071	LFQA-E: Carefully Benchmarking Long-form QA Evaluation Authors: Yuchen Fan; Chen Ling; Xin Zhong; Shuo Zhang; Heng Zhou; Yuchen Zhang; Mingyu Liang; Chengxing Xie; Ermo Hua; Zhizhou He; Cheng Huang; Gang Chen; Ning Ding; Bowen Zhou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LFQA; Evaluaton; Benchmark
2072	LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena Authors: Qingchuan Yang; Simon Mahns; Sida Li; Anri Gu; Jibang Wu; Haifeng Xu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Forecasting; LLM Benchmark; LLM-as-a-Prophet; LLM Evaluation
2073	LLMs as Rules Oracles: Exploring Real-World Multimodal Reasoning in Tabletop Strategy Game Environments Authors: Joseph J Peper; Sai Krishna Gandra; Yunxiang Zhang; Vaibhav Chennareddy; Shloki Jha; Ali Payani; Lu Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: game reasoning; multimodal qa; vision-language grounding; benchmark; situated reasoning; tabletop games; board games
2074	Lean4Physics: Comprehensive Reasoning Framework for College-level Physics in Lean4 Authors: Yuxin Li; Minghao LIU; Ruida WANG; JI WenZhao; Zhitao He; Rui Pan; Junming Huang; Tong Zhang; Yi R. Fung Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Lean4; Reasoning; AIforScience
2075	LitmusValues: Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas Authors: Yu Ying Chiu; Zhilin Wang; Sharan Maiya; Yejin Choi; Kyle Fish; Sydney Levine; Evan J Hubinger Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI Values; value alignment; ai risk; dilemma
2076	LiveClin: A Live Clinical Benchmark without Leakage Authors: Xidong Wang; Guo shuqi; Yue Shen; Junying Chen; Jian Wang; Jinjie Gu; Ping Zhang; Lei Liu; Benyou Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MultiModal Medical Benchmark
2077	LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild Authors: Jiayu Wang; Yifei Ming; Riya Dulepet; Qinglin Chen; Austin Xu; Zixuan Ke; Frederic Sala; Aws Albarghouthi; Caiming Xiong; Shafiq Joty Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Evaluation; Deep Research; LLM Agents; Multi Agent Systems
2078	LiveWeb-IE: A Benchmark For Online Web Information Extraction Authors: Seungbin Yang; Jihwan Kim; Jaemin Choi; Dongjin Kim; Soyoung Yang; ChaeHun Park; Jaegul Choo Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: web information extraction; web scraping
2079	Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification Authors: Xu Xu; Xin Li; Xingwei Qu; Jie Fu; Binhang Yuan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; Formal Language; benchmark
2080	LogiConBench: Benchmarking Logical Consistencies of LLMs Authors: Zheng CHEN; Chuan Zhou; Fengxiang Cheng; Yip Tin Po; Fenrong Liu; Yisen Wang; Jiajun Chai; Xiaohan Wang; Guojun Yin; Wei Lin; Bo Li; Haoxuan Li; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: consistency; llm reasoning; symbolic reasoning
2081	Long-Context Attention Benchmark: From Kernel Efficiency to Distributed Context Parallelism Authors: Tao Bu; Qiangang Wang; Bowen Zeng; Hanwen Sun; Yunpeng Huang; Chun Cao; Jingwei Xu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Long Context; Dense Attention Kernel; Sparse Attention Kernel; Context Parallel Machenism; Mask Pattern
2082	M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding Authors: Juntao Jiang; Jiangning Zhang; Yali bi; BAI Jinsheng; Weixuan Liu; Weiwei Jin; Zhucun Xue; Yong Liu; Xiaobin Hu; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Chain-of-Thought; Multimodal Large Language Models; M3CoTBench; Benchmark
2083	MARL2Grid-TR: A Multi-Agent RL Benchmark in Power Grid Operations Authors: Enrico Marchesini; Eva Boguslawski; Alessandro Leite; Christopher Amato; Matthieu DUSSARTRE; Marc Schoenauer; Benjamin Donnot; Priya L. Donti Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-agent reinforcement learning; benchmark; power grids
2084	MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model Authors: Prasanna Mayilvahanan; Ricardo Olmedo; Thaddäus Wiedemer; Wieland Brendel Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: RLVR; RL; Reasoning; Math; LLM Evaluation
2085	MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks Authors: Sara Papi; Maike Züfle; Marco Gaido; Beatrice Savoldi; Danni Liu; Ioannis Douros; Luisa Bentivogli; Jan Niehues Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmark; crosslingual; multimodal; instruction-following; speech; video
2086	MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents Authors: Dongsen Zhang; Zekun Li; Xu Luo; Xuannan Liu; Pei Pei Li; Wenjun Xu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Model Context Protocol Security; LLM Agnt Attack; Benchmark Evaluation
2087	MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers Authors: Zhenting Wang; Qi Chang; Hemani Patel; Shashank Biju; Cheng-En Wu; Quan Liu; Aolin Ding; Alireza Rezazadeh; Ankit Shah; Yujia Bao; Eugene Siow Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Tool-using Agent; Real-World Tasks; Model Context Protocol
2088	MCP-SafetyBench: A Benchmark for Safety Evaluation of Large Language Models with Real-World MCP Servers Authors: Xuanjun Zong; Zhiqi Shen; Lei Wang; Yunshi Lan; Chao Yang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Safety; Benchmark; MCP; LLMs; Agents
2089	MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use Authors: Zijian Wu; Xiangyan Liu; xinyuan zhang; Lingjun Chen; Fanqing Meng; Lingxiao Du; Yiran Zhao; Fanshi Zhang; Yaoqi Ye; Jiawei Wang; Zirui Wang; Jinjie Ni; Yufan Yang; Arvin Xu; Mich… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Agent; Tool Use; Benchmark; Model Context Protocol
2090	MIMIC-Bench: Exploring the User-Like Thinking and Mimicking Capabilities of Multimodal Large Language Models Authors: Jiajie Teng; Huiyu Duan; Sijing Wu; Jiarui Wang; Xilei Zhu; Jianing Jin; Wei Shen; Xiongkuo Min; Guangtao Zhai Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MLLMs; Benchmark Evaluation; User-Like Thinking; Comment Simulation and Discrimination; Instruction-Tuned Multimodal Models
2091	MLE-Smith: Scaling MLE Tasks with Automated Multi-agent Pipeline Authors: Rushi Qiang; Yuchen Zhuang; Anikait Singh; Percy Liang; Chao Zhang; Sherry Yang; Bo Dai Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Machine Learning; LLM Agents
2092	MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models Authors: Fan Zhang; Zebang Cheng; Chong Deng; Haoxuan Li; Zheng Lian; Qian Chen; Huadai Liu; Wen Wang; YiFan Zhang; Renrui Zhang; Ziyu Guo; Zhihong Zhu; Hao Wu; Haixin Wang; Yefeng Zheng;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Affective Computing
2093	MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models Authors: Wulin Xie; YiFan Zhang; Chaoyou Fu; Yang Shi; Jianshu Zeng; Bingyan Nie; Hongkai Chen; Zhang Zhang; Liang Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Unify Model; Multi-Modal Language Model; Benchmark
2094	MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning Authors: Jiachun Li; Shaoping Huang; Zhuoran Jin; Chenlong Zhang; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: multimodal reasoning; multimodal benchmark; multi-image benchmark; thinking models
2095	MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Authors: Kejian Zhu; Zhuoran Jin; Hongbang Yuan; Jiachun Li; Shangqing Tu; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Multimodal Reasoning; Video Benchmark
2096	MMReD: a Cross-Modal Benchmark for Dense Context Reasoning Authors: Maxim Kurkin; Boris Shirokikh; Irina Abdullaeva; Viktoriia A. Chekalina; Andrey Kuznetsov Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: long context; reasoning; LLM; LVLM; MLLM; benchmark
2097	MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence Authors: Sihan Yang; Runsen Xu; Yiman Xie; Sizhe Yang; Mo Li; Jingli Lin; Chenming Zhu; Xiaochen Chen; Haodong Duan; Xiangyu Yue; Dahua Lin; Tai Wang; Jiangmiao Pang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Spatial Intelligence; MLLM; VLM; VQA; Benchmark; 3D Understanding
2098	MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark Authors: Dingdong WANG; Junan Li; Jincenzi Wu; Dongchao Yang; Xueyuan Chen; Tianhua Zhang; Helen M. Meng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: SpeechLLMs; Multimodal; Speech Processing; Linguistics; LLM
2099	MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval Authors: Siyue Zhang; Yuan Gao; Xiao Zhou; Yilun Zhao; Tingyu Song; Arman Cohan; Anh Tuan Luu; Chen Zhao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Retrieval Benchmark; Reasoning; Multimodal LLMs
2100	Mapping Overlaps in Benchmarks through Perplexity in the Wild Authors: Siyang Wu; Honglin Bao; Sida Li; Ari Holtzman; James Evans Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: meta-evaluation; benchmark overlaps; language models
2101	Matched Data, Better Models: Target Aligned Data Filtering with Sparse Autoencoders Authors: Arnav Mohanty Das; Gantavya Bhatt; Sahil Verma; Yiping Wang; Viswa Virinchi Muppirala; Jeff Bilmes Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: data filtering; submodular; sparse autoencoders
2102	MathNet: A Global Multimodal Benchmark for Mathematical Reasoning and Retrieval Authors: Shaden Alshammari; Kevin Wen; Abrar Zainal; Mark Hamilton; Navid Safaei; Sultan Albarakati; William T. Freeman; Antonio Torralba Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Mathematical retrieval; Mathematical comprehension; Large language models
2103	MedAraBench: Large-scale Arabic Medical Question Answering Dataset and Benchmark Authors: Mouath Abu Daoud; Leen Kharouf; Omar El Hajj; Dana El Samad; Mariam Al-Omari; Jihad Mallat; Khaled Saleh; Nizar Habash; Farah E. Shamout Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Dataset Benchmark; Large Language Models; Arabic Natural Language Processing; Medical Question Answering
2104	MedLesionVQA: A Multimodal Benchmark Emulating Clinical Visual Diagnosis for Body Surface Health Authors: Deli Yu; Shengzhi Wang; Kai WU; Xiaozhong Ji; Bo Cui; Jieqiong Cao; Huichao Wang; Boyuan Jiang; Xu Wang; Qian Xu; ChaoGao; Yi Zhao; Dian Chen; Meng Li; Haifeng Wu; Yijun He; Haihu… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Medical Multimodal Benchmark; Body Lesion Images; Medical VQA
2105	Medical thinking with multiple images Authors: Zonghai Yao; Benlu Wang; Yifan Zhang; Junda Wang; Iris Xia; Zhipeng Tang; Shuo Han; Feiyun Ouyang; Zhichao Yang; Arman Cohan; hong yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal diagnostic reasoning; Vision language models (VLMs); Medical VQA; Thinking with images
2106	Mix-Ecom: Towards Mixed-Type E-Commerce Dialogues with Complex Domain Rules Authors: Chenyu Zhou; Xiaoming Shi; Hui Qiu; Yankai Jiang; ShaoGuo Liu; Tingting Gao; Haitao Leng; Xiawu Zheng; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Agent; LLM; E-commerce
2107	MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes Authors: Yu Ying Chiu; Michael S. Lee; Rachel Calcott; Brandon Handoko; Paul de Font-Reaulx; Paula Rodriguez; Chen Bo Calvin Zhang; Ziwen Han; Udari Madhushani Sehwag; Yash Maurya; Christi… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: moral reasoning; reasoning evaluation; ai safety
2108	MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation Authors: Feiyang Cai; Jiahui Bai; Tao Tang; Guijuan He; Joshua Luo; Tianyu Zhu; Srikanth Pilla; Gang Li; Ling Liu; Feng Luo Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: molecule-language multimodal benchmark; molecular structure recognition; language-prompted molecule editing and generation
2109	MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecular Graphs Authors: Christoph Bartmann; Johannes Schimunek; Mykyta Ielanskyi; Philipp Seidl; Günter Klambauer; Sohvi Luukkonen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: chemical language model; chemical reasoning model; chemistry; large language model; molecular graph; molecular structure
2110	Moving Beyond Medical Exams: A Clinician-Annotated Fairness Dataset of Real-World Tasks and Ambiguity in Mental Healthcare Authors: Max Lamparth; Declan Grabb; Amy Franks; Scott Gershan; Kaitlyn N Kunstman; Aaron Lulla; Monika Drummond Roots; Manu Sharma; Aryan Shrivastava; Nina Vasan; Colleen Waickman Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI for Healthcare; mental health; fairness; bias; dataset; language models; decision-making; uncertainty; expert annotation
2111	Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages Authors: Maria Ivanova; Pavel Zadorozhny; Rodion Levichev; Ivan Petrov; Adamenko Pavel; Ivan Lopatin; Alexey Kutalev; Dmitrii Babaev Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Code Benchmark; Code LLMs; Cross Language Evaluation; Contamination; Overfitting
2112	Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional Authors: Divyam Madaan; Varshan Muhunthan; Kyunghyun Cho; Sumit Chopra Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-modal learning
2113	NC-Bench and NCfold: A Benchmark and Closed-Loop Framework for RNA Non-Canonical Base-Pair Prediction Authors: Heqin Zhu; Ruifeng Li; Ao Chang; Mingqian Li; Hongyang Chen; Peng Xiong; S Kevin Zhou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: RNA secondry structure prediction; RNA non-canonical base pair; RNA foundation model
2114	NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation Authors: Xiaokun Feng; Haiming Yu; Meiqi Wu; Shiyu Hu; Jintao Chen; Chen Zhu; Jiahong Wu; Xiangxiang Chu; Kaiqi Huang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: long video gengration model; video gengration benchmarks
2115	Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset Authors: Rabeeh Karimi mahabadi; Sanjeev Satheesh; Shrimai Prabhumoye; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Mathematical Reasoning; Web-Scale Data Curation; LLM-Based Cleaning; Pretraining datasets; Deduplication
2116	NetArena: Dynamic Benchmarks for AI Agents in Network Automation Authors: Yajie Zhou; Jiajun Ruan; Eric S. Wang; Sadjad Fouladi; Francis Y. Yan; Kevin Hsieh; Zaoxing Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM for Network Systems; Dynamic Benchmark
2117	Neural Theorem Proving for Verification Conditions: A Real-World Benchmark Authors: Qiyuan Xu; Xiaokun Luan; Renxi Wang; Joshua Ong Jun Leang; Peixin Wang; Haonan Li; Wenda Li; Conrad Watt Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Neural Theorem Proving; Program Verification; AI for Verification; Automated Theorem Proving; Lean; Isabelle; Rocq
2118	NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents Authors: Tianshi Zheng; Kelvin Kiu Wai Tam; Newt Nguyen Kim Hue Nam; Baixuan Xu; Zhaowei Wang; Cheng Jiayang; Hong Ting Tsang; Weiqi Wang; Jiaxin Bai; Tianqing Fang; Yangqiu Song; Ginny Wo… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large language models; benchmark; virtual environment; generalization; agent; scientific law discovery
2119	Non-Collaborative User Simulators for Tool Agents Authors: Jeonghoon Shim; Woojung Song; Cheyon Jin; Seungwon Kook; Yohan Jo Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Tool Agent; User Simulator; Non-collaborative User; Dialogue Simulation
2120	Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning Authors: Rongjin Li; Zichen Tang; Xianghe Wang; Xinyi Hu; Zhengyu Wang; Zhengyu Lu; Yiling Huang; Jiayuan Chen; Weisheng Tan; Jiacheng Liu; Zhongjun Yang; Haihong E Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Academic Paper Reasoning; Scan-Oriented Reasoning
2121	NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context Authors: Ben Yao; Qiuchi Li; Yazhou Zhang; Yang siyu; Bohan Zhang; Prayag Tiwari; Jing Qin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large language models; value alignment; nursing values
2122	OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning Authors: Mingxin Huang; Yongxin Shi; Dezhi Peng; Songxuan Lai; Zecheng Xie; Lianwen Jin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: multimodal slow-thinking systems; text-rich image understadning; reasoning model
2123	ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments? Authors: Liu Yang; Huiyu Duan; Ran Tao; Juntao Cheng; Sijing Wu; Yunhao Li; Jing Liu; Xiongkuo Min; Guangtao Zhai Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: omnidirectional image; benchmark; virtual reality
2124	OSIRIS: Bridging Analog Circuit Design and Machine Learning with Scalable Dataset Generation Authors: Giuseppe Chiari; Michele Piccoli; Davide Zoni Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: electronic design automation; analog circuits; reinforcement learning; layout design; parasitic-aware; dataset generator
2125	OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents Authors: Hongrui Jia; Jitong Liao; Xi Zhang; Haiyang Xu; Tianbao Xie; Chaoya Jiang; Ming Yan; Si Liu; Wei Ye; Fei Huang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MCP; Computer-use Agent; LMM
2126	Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research Authors: Chenda Duan; Yipeng Zhang; Sotaro Kanai; Yuanyi Ding; Atsuro Daida; Pengyue Yu; Tiancheng Zheng; Naoto Kuroda; Shaun A. Hussain; Eishi Asano; Hiroki Nariai; vwani Roychowdhury Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Computational neuroscience; iEEG; Epilepsy; Computer Aided Diagnosis; Neurophysiology
2127	OmniCVR: A Benchmark for Omni-Composed Video Retrieval with Vision, Audio, and Text Authors: Junyang Ji; Shengjun Zhang; Da Li; Yuxiao Luo; Yan Wang; Di Xu; Biao Yang; Wei Yuan; Fan Yang; Zhihai He; Wenming Yang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Composed Video Retrieval; Multimodal Benchmark; Audio-Visual Queries
2128	OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding Authors: Jiali Yao; Xin Gu; Xinran Deng; Mengrui Dai; Bing Fan; Zhipeng Zhang; Yan Huang; Heng Fan; Libo Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Spatio-Temporal Video Grounding; Spatio-Temporal Omni-Object Video Grounding; Benchmark
2129	OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models Authors: Mengdi Jia; Zekun Qi; Shaochen Zhang; Wenyao Zhang; XinQiang Yu; Jiawei He; He Wang; Li Yi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Spatial Reasoning; Vision-Language Models; Benchmark
2130	OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs Authors: Caorui Li; Yu Chen; Yiyan Ji; Jin Xu; Zhenyu Cui; Shihao Li; Yuanxing Zhang; Zhenghao Song; Dingling Zhang; Heying; Haoxiang Liu; Yuxuan Wang; Qiufeng Wang; Jiafu Tang; Zhenhe Wu;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Reasoning; MLLM Benchmark; Text; Audio; Video
2131	OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling Authors: Yang Zhou; Yifan Wang; Jianjun Zhou; Wenzheng Chang; Haoyu Guo; Zizun Li; Kaijing Ma; Xinyue Li; Yating Wang; Haoyi Zhu; Mingyu Liu; Dingning Liu; Jiange Yang; Zhoujie Fu; Junyi C… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-Domain; Multi-Modal; World Modeling
2132	On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study Authors: Shuai Yang; Qi Yang; Luoxi Tang; Yuqiao Meng; Nancy Guo; Jeremy Blackburn; Zhaohan Xi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Counterfactual Reasoning; Large Language Models (LLMs); Experimental Study
2133	Open Data Synthesis for Deep Research Authors: Ziyi Xia; Kun Luo; Hongjin Qian; Siqi Bao; Zheng Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: data synthesis; agentic search; large language models
2134	OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data Authors: Alana Marzoev; Jacob Andreas; Jillian Ross Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: probabilistic estimation; reasoning; uncertainty; calibration
2135	OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography Authors: Hanchen Wang; Yixuan Wu; Yinan Feng; Peng Jin; Luoyuan Zhang; Shihang Feng; James Wiskin; Baris Turkbey; Peter Pinto; Bradford J Wood; Songting Luo; Yinpeng Chen; Emad Boctor; You… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Ultrasound Computed Tomography; Prostate Imaging; Benchmark Dataset; Medical Imaging
2136	Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games Authors: Dongmin Park; Minkyu Kim; Beongjun Choi; Junhyuck Kim; Keon Lee; Jonghyun Lee; Inkyu Park; Byeong-Uk Lee; Jaeyoung Hwang; Jaewoo Ahn; Ameya Sunil Mahabaleshwarkar; Bilal Kartal; P… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; Agents; Benchmark; Games
2137	OrchestrationBench: LLM-Driven Agentic Planning and Tool Use in Multi-Domain Scenarios Authors: Aelim Ahn; Sooyeon Lee; Hyosun Wang; Chiwan Park; Daeryong Kim; Jihyeon Roh; Kichang Yang; Wonjun Jang; Hwang Woosung; Min Seok Kim; Jihoon kang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: OrchestrationBench; Workflow-based Planning; Constraint-aware Tool Use
2138	PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities Authors: Zicheng Liu; Lige Huang; Jie Zhang; Dongrui Liu; Yuan Tian; Jing Shao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM Agent; Cybersecurity; Benchmark; AI Safety
2139	PCB-Bench: Benchmarking LLMs for Printed Circuit Board Placement and Routing Authors: Jindong Li; Lianrong Chen; Bin Yang; Jiadong Zhu; Ying Wang; Yuzhe Ma; Menglin Yang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLMs; Printed Circuit Board; Placement and Routing; Multimodal Benchmark
2140	PICABench: How Far are We from Physical Realistic Image Editing? Authors: Yuandong Pu; Le Zhuo; Songhao Han; Jinbo Xing; Kaiwen Zhu; Shuo Cao; Bin Fu; Si Liu; Hongsheng Li; Yu Qiao; Wenlong Zhang; Xi Chen; Yihao Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: image edit; benchmark; dataset
2141	PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment Authors: Qi Yu; Zhichen Zeng; Yuchen Yan; Zhining Liu; Baoyu Jing; Ruizhong Qiu; Ariful Azad; Hanghang Tong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Network Alignment; Graph Machine Learning
2142	POEMetric: The Last Stanza of Humanity Authors: Bingru Li; Han Wang; Hazel Wilkinson Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Poetry evaluation metrics; poetry generation; large language models; dataset and benchmark
2143	PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning Authors: Wanjia Zhao; Qinwei Ma; Jingzhe Shi; Shirley Wu; Jiaqi Han; Yijia Xiao; Si-Yuan Chen; Xiao Luo; Ludwig Schmidt; James Zou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Physics Reasoning; Process-Level Evaluation; Symbolic Equivalence; Scientific Problem Solving
2144	PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies Authors: Lukas Selch; Yufang Hou; Muhammad Jehanzeb Mirza; Sivan Doveh; James R. Glass; Rogerio Feris; Wei Lin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Multimodal Models; Scentific document understanding; evaluation benchmark
2145	PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks Authors: Francesco Spinnato; Cristiano Landi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: irregular time series; classification
2146	PepBenchmark: A Standardized Benchmark for Peptide Machine Learning Authors: Jiahui Zhang; Rouyi Wang; Kuangqi Zhou; Tianshu Xiao; Lingyan Zhu; Yaosen Min; Yang Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: peptide machine learning; benchmark; protein language models
2147	PerSpectra: A Scalable and Configurable Pluralist Benchmark of Perspectives from Arguments Authors: Shangrui Nie; Kian Omoomi; Lucie Flek; Zhixue Zhao; Charles Welch Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: pluralism; Argument; Benchmark
2148	PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits Authors: Loka Li; Wong Yu Kang; Minghao Fu; Guangyi Chen; Zhenhao Chen; Gongxu Luo; Yuewen Sun; Salman Khan; Peter Spirtes; Kun Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Datasets; LLM-Inferred Behavior Traits; Causality
2149	PlantRSR: A New Plant Dataset and Method for Reference-based Super-Resolution Authors: Hongyang Zhou; Xiaobin Zhu; Shengxiang Yu; Liuling Chen; Jingyan Qin; Xu-Cheng Yin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Plant dataset; Image Super-Resolution; Reference-based Super-Resolution
2150	PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm Authors: Jing-Jing Li; Joel Mire; Eve Fleisig; Valentina Pyatkin; Anne Collins; Maarten Sap; Sydney Levine Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI safety; annotator disagreement; personalized alignment; value pluralism; benchmark
2151	PoseX: AI Defeats Physics-based Methods on Protein Ligand Cross-Docking Authors: Yize Jiang; Xinze Li; Yuanyuan Zhang; Jin Han; Youjun Xu; Ayush Pandit; ZAIXI ZHANG; Mengdi Wang; Mengyang Wang; Chong Liu; Guang Yang; Yejin Choi; Yingzhou Lu; Wu-Jun Li; Tianfan… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI docking; AI co-folding; protein-ligand interaction; cross docking
2152	Practical estimation of the optimal classification error with soft labels and calibration Authors: Ryota Ushio; Takashi Ishida; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Bayes error; irreducible error; uncertainty quantification; soft labels; calibration; evaluation
2153	ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulation Authors: Jiho Kim; Junseong Choi; Woosog Chay; Daeun Kyung; Yeonsu Kwon; Yohan Jo; Edward Choi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Agent Simulation; Personalization; Proactivity
2154	Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents Authors: Jiayi Kuang; Yinghui Li; Xin Zhang; Yangning Li; di yin; Xing Sun; Ying Shen; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Software Engineering; Agent; Large Language Model
2155	ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge Authors: Zhilin Wang; Jaehun Jung; Ximing Lu; Shizhe Diao; Ellie Evans; Jiaqi Zeng; Pavlo Molchanov; Yejin Choi; Jan Kautz; Yi Dong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: expert-annotated; professional knowledge; llm judge; rubric evaluation
2156	PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts Authors: Hengzhi Li; Justin Zhang; Brendon Jiang; Alexander Naehu; Regan Song; Megan Tjandrasuwita; Chanakya Ekbote; Steven-Shine Chen; Adithya Balachandran; Wei Dai; Rebecca Chang; Paul P… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmarking; Foundation Models; Multimodal Reasoning
2157	RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding Authors: Jiaang Li; Yifei Yuan; Wenyan Li; Mohammad Aliannejadi; Daniel Hershcovich; Anders Søgaard; Ivan Vulić; Wenxuan Zhang; Paul Pu Liang; Yang Deng; Serge Belongie Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Visual culture understanding; Cultural benchmark; Multimodal retrieval-augmented generation
2158	RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback Authors: Chunyu Miao; Henry Peng Zou; Yangning Li; Yankai Chen; Yibo Wang; Fangxin Wang; Yifan Li; Wooseong Yang; Bowei He; Xinni Zhang; Dianzhi Yu; Hanchen Yang; Hoang H Nguyen; Yue Zhou;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Code generation
2159	RF-MatID: Dataset and Benchmark for Radio Frequency Material Identification Authors: Xinyan Chen; Qinchun Li; Ruiqin Ma; Jiaqi Bai; Li Yi; Jianfei Yang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Material identification; Radio frequency (RF) sensing; Dataset; Benchmarking
2160	RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning Models Authors: Yunseok Han; Yejoon Lee; Jaeyoung Do Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Faithfulness; Large Reasoning Models; Benchmark; Evaluation
2161	RIVER: A Real-Time Interaction Benchmark for Video LLMs Authors: Yansong Shi; Qingsong Zhao; Tianxiang Jiang; Xiangyu Zeng; Yi Wang; Limin Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Online Video Interaction; Multimodal; Video Understanding
2162	ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation Authors: Yongyuan Liang; Wei Chow; Feng Li; Ziqiao Ma; Xiyao Wang; Jiageng Mao; Jiuhai Chen; Jiatao Gu; Yue Wang; Furong Huang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Unified Multimodal Model; Generation Benchmark; Cross-modal Reasoning
2163	ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Authors: Sanghyu Yoon; Dongmin Kim; Suhee Yoon; Ye Seul Sim; Seungdong Yoa; Hye-Seung Cho; Soonyoung Lee; Hankook Lee; Woohyung Lim Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Tabular Anomaly Detection; Anomaly Detection Benchmark; Large Language Models
2164	RedSage: A Cybersecurity Generalist LLM Authors: Naufal Suryanto; Muzammal Naseer; Pengfei Li; Syed Talal Wasim; Jinhui Yi; Juergen Gall; Paolo Ceravolo; Ernesto Damiani Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: cybersecurity; large language models; data-driven; dataset curation; agentic augmentation; continual pretraining; supervised fine-tuning; benchmark evaluation;…
2165	RedacBench: Can AI Erase Your Secrets? Authors: Hyunjun Jeon; Kyuyoung Kim; Jinwoo Shin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Redaction; Benchmark; Security; Language Model; Privacy; Sensitive Information; Data Sanitization
2166	Referring Layer Decomposition Authors: Fangyi Chen; Yaojie Shen; Lu Xu; Ye Yuan; Shu Zhang; Yulei Niu; Longyin Wen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Dataset; Benchmark; Layer Decomposition
2167	RefineBench: Evaluating Refinement Capability of Language Models via Checklists Authors: Young-Jun Lee; Seungone Kim; Byung-Kwan Lee; Minkyeong Moon; Yechan Hwang; Jong Myoung Kim; Graham Neubig; Sean Welleck; Ho-Jin Choi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Refinement; Large Language Model; Checklist
2168	Reliable Evaluation of MRI Motion Correction: Dataset and Insights Authors: Kun Wang; Tobit Klug; Stefan Ruschke; Jan Kirschke; Reinhard Heckel Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: 3D MRI motion correction; Accelerated MRI; Dataset; Evaluation approach; Image reconstruction
2169	ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents Authors: Manasi Sharma; Chen Bo Calvin Zhang; Chaithanya Bandi; Clinton Wang; Ankit Aich; Huy Nghiem; Tahseen Rabbani; Ye Htet; Brian Jang; Sumana Basu; Aishwarya Balwani; Denis Peskoff; M… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Deep Research; Large Language Models; Benchmarks; Rubrics; LLM-as-a-judge; Multi-step Reasoning; Cross-document Synthesis; Long-form Question Answering; Eviden…
2170	ResiliBench: Evaluating Agentic Workflow Adaptation in Stochastic Environments Authors: Ruicheng Ao; Zeping Min; Tingyu Zhu; Wotao Yin; Xinshang Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Workflow execution; LLM robustness; Probabilistic Tool Behavior
2171	RewardBench 2: Advancing Reward Model Evaluation Authors: Saumya Malik; Valentina Pyatkin; Sander Land; Jacob Morrison; Noah A. Smith; Hannaneh Hajishirzi; Nathan Lambert Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: reward models; benchmark; evaluation; post-training; reinforcement learning from human feedback
2172	Rewriting Pre-Training Data Boosts LLM Performance in Math and Code Authors: Kazuki Fujii; Yukito Tajima; Sakae Mizuki; Masaki Kawamura; Hinari Shimada; Taihei Shiotani; Koshiro Saito; Masanari Oi; Taishi Nakamura; Takumi Okamoto; Shigeki Ishida; Kakeru Ha… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: dataset; pretraining; code; llm
2173	RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots Authors: Soroush Nasiriany; Sepehr Nasiriany; Abhiram Maddukuri; Yuke Zhu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Robot Datasets and Benchmarking; Vision-Language-Action Models; Robot Simulation
2174	RobotArena $\infty$: Scalable Robot Benchmarking via Real-to-Sim Translation Authors: Yash Jangir; Yidi Zhang; Kashu Yamazaki; Chenyu Zhang; Kuan-Hsun Tu; Tsung-Wei Ke; Lei Ke; Yonatan Bisk; Katerina Fragkiadaki Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmarking; Robot Policy Evaluation; Real2Sim Translation; Vision Language Action Models
2175	RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo Authors: Victor Oei; Jenny Schmalfuss; Lukas Mehl; Madlen Bartsch; Shashank Agnihotri; Margret Keuper; Andreas Bulling; Andres Bruhn Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: out-of-distribution; image corruptions; optical flow; scene flow; stereo
2176	RouterArena: An Open Platform for Comprehensive Comparison of LLM Routers Authors: Yifan Lu; Rixin Liu; Jiayi Yuan; Xingqi Cui; Shenrun Zhang; Hongyi Liu; Jiarong Xing Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM Router; Evaluation
2177	S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion Authors: Yujin Wang; Jiarui Wu; Yichen Bian; Fan Zhang; Tianfan Xue Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: HDR Dataset; HDR Fusion; Domain Adaption
2178	SAIR: Enabling Deep Learning for Protein-Ligand Interactions with a Synthetic Structural Dataset Authors: Pablo Lemos; Zane Beckwith; Sasaank Bandi; Maarten Van Damme; Jordan Crivelli-Decker; Benjamin J. Shields; Thomas Merth; Punit K Jha; Nicola De Mitri; Tiffany Callahan; AJ Nish; P… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Protein; Ligand; Dataset; Affinity
2179	SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation Authors: Jiahao Zhao; Feng Jiang; Shaowei Qin; Zhonghui Zhang; Junhao Liu; Guibing Guo; Hamid Alinejad-Rokny; Min Yang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Single-cell Foundation Models; Scientific AI Benchmark; Knowledge-augmented Evaluation
2180	SCUBA: Salesforce Computer Use Benchmark Authors: Yutong Dai; Krithika Ramakrishnan; Jing Gu; Matthew Fernandez; Yanqi Luo; Viraj Prabhu; Zhenyu Hu; silvio savarese; Caiming Xiong; Zeyuan Chen; Ran Xu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Computer-Use Agents; Enterprise Benchmark; CRM; Vision Language Model
2181	SMAN-Bench: A Cross-System Benchmark for Mobile Agents under Single- and Multi-path, Ambiguous, and Noisy Tasks Authors: Weikai Xu; Zhizheng Jiang; Yuxuan Liu; Pengzhi Gao; Wei Liu; Jian Luan; Yunxin Liu; Yuanchun Li; Bin Wang; Bo An Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: multimodal; mobile agent; offline evaluation
2182	SPARTA: Scalable and Principled Benchmark of Tree-Structured Multi-hop QA over Text and Tables Authors: Sungho Park; Jueun Kim; Wook-Shin Han Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Table-Text Question Answering; Multi-hop Question Answering; Benchmark Generation; Large Language Model; SQL Query Generation; Provenance-based Refinement
2183	ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents Authors: Ido Levy; Ben wiesel; Sami Marreed; Alon Oved; Avi Yaeli; Segev Shlomov Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: web agents; safety; trustworthiness; benchmark; policy compliance; enterprise workflows; Completion Under Policy; CuP; Risk Ratio; human-in-the-loop; policy hi…
2184	STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D Intelligence Authors: Zihan Liu; Zhikang Niu; Qiuyang Xiao; Zhisheng Zheng; Ruoqi Yuan; Yuhang Zang; Yuhang Cao; Xiaoyi Dong; Jianze Liang; Xie Chen; Leilei Sun; Dahua Lin; Jiaqi Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: audio understanding; spatio-temporal reasoning; 4D Intelligence
2185	SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks Authors: Hongye Cao; Sijia Jing; Yanming Wang; Ziyue Peng; Zhixin Bai; Zhe Cao; Meng Fang; Fan Feng; Jiaheng Liu; Boyan Wang; Tianpei Yang; Jing Huo; Yang Gao; Fanyu Meng; Xi Yang; Chao De… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large language models; multi-turn; safety; benchmark; jailbreak
2186	Same Content, Different Representations: A Controlled Study for Table QA Authors: Yue Zhang; Seiji Maekawa; Nikita Bhutani Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Table Question Answering; Semi-structured Table; Structured Table
2187	ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding Authors: David Ma; Huaqing Yuan; Xingjian Wang; Qianbo Zang; Tianci Liu; Xinyang He; Yanbin Wei; Jiawei Guo; nijiahui; Zhenzhu Yang; Meng Cao; Shanghaoran Quan; Yizhi LI; Wangchunshu Zhou;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-Timescale Benchmark; Long Video Understanding
2188	Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling Authors: Shengyin Sun; Yiming Li; Xing Li; Yingzhao Lian; Weizhe Lin; Hui-Ling Zhen; Zhiyuan Yang; Xianzhi Yu; Chen Chen; Mingxuan Yuan; Chen Ma Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Speculative Decoding; Test-Time Scaling
2189	Sci2Pol: Evaluating and Fine-tuning LLMs on Scientific-to-Policy Brief Generation Authors: Weimin Wu; Alexander C Furnas; Eddie Yang; Gefei Liu; Akhil Pandey Akella; Xuefeng Song; Dashun Wang; Han Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Dataset; Science; Policy; LLM
2190	SciTS: Scientific Time Series Understanding and Generation with LLMs Authors: Wen Wu; Ziyang Zhang; Liwei Liu; Xuenan Xu; Jimin Zhuang; Ke Fan; Qitan Lv; Junlin Liu; Chen Zhang; Zheqi Yuan; Siyuan Hou; Tianyi Lin; Kai Chen; Bowen Zhou; Chao Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: time series; large language model; benchmark
2191	SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models Authors: Thinh Pham; Nguyen Phan Nguyen; Pratibha Zunjare; Weiyuan Chen; Yu-Min Tseng; Tu Vu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM evaluation; search-augmented LLMs; question answering; reasoning
2192	Search Arena: Analyzing Search-Augmented LLMs Authors: Mihran Miroyan; Tsung-Han Wu; Logan King; Tianle Li; Jiayi Pan; Xinyan Hu; Wei-Lin Chiang; Anastasios Nikolas Angelopoulos; Trevor Darrell; Narges Norouzi; Joseph E. Gonzalez Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Web Search; Human-AI Interaction
2193	Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes Authors: ZhiYuan Feng; Zhaolu Kang; Qijie Wang; Zhiying Du; Jiongrui Yan; Shi Shubin; Chengbo Yuan; Huizhi Liang; Yu Deng; Qixiu Li; Rushuai Yang; Ruichuan An; Leqi Zheng; Weijie Wang; Shu… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: spatial understanding; benchmark; multi-view; vlm; robotics
2194	Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models Authors: Jiaying Wu; Fanxiao Li; Zihang Fu; Min-Yen Kan; Bryan Hooi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: multimodal misinformation detection; vision-language models; creator intent
2195	SelvaBox: A high‑resolution dataset for tropical tree crown detection Authors: Hugo Baudchon; Arthur Ouaknine; Martin Weiss; Mélisande Teng; Thomas R. Walla; Antoine Caron-Guay; Christopher Pal; Etienne Laliberté Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Remote sensing; Forest monitoring; Tree crown detection; Tropical forest dataset
2196	Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images Authors: Chuangchuang Tan; Xiang Ming; Jinglu Wang; Renshuai Tao; Bin Li; Yunchao Wei; Yao Zhao; Yan Lu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Anomaly Detection，AI-Generated Images
2197	SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors Authors: Tiancheng Hu; Joachim Baumann; Lorenzo Lupo; Nigel Collier; Dirk Hovy; Paul Röttger Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: human behavior simulation; large language models; benchmarking; computational social science; human-AI alignment; calibration; human-centered AI
2198	SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs Authors: Yuling Gu; Oyvind Tafjord; Hyunwoo Kim; Jared Moore; Ronan Le Bras; Peter Clark; Yejin Choi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Theory of Mind; social reasoning; LLM benchmark; mental state; behavior; judgment; false belief
2199	SkyEvents: A Large-Scale Event-enhanced UAV Dataset for Robust 3D Scene Reconstruction Authors: Wenzong Ma; Zhuoxiao Li; Jinjing Zhu; Tongyan Hua; Kanghao Chen; Zidong Cao; Da Yang; Peilun Shi; Yibo Zhou; Wufan Zhao; Hui Xiong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Event; 3D Scene Reconstruction
2200	Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy Authors: Chris Yuhao Liu; Liang Zeng; Yuzhen Xiao; Jujie He; Jiacai Liu; Chaojie Wang; Rui Yan; Wei Shen; Fuxiang Zhang; Jiacheng Xu; Yang Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: preference data; reward modeling; data curation; data annotation
2201	SmellNet: A Large-scale Dataset for Real-world Smell Recognition Authors: Dewei Feng; Wei Dai; Carol Li; Alistair Pernigo; Paul Pu Liang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Smell sensing; multimodal AI; AI for smell; smell recognition; chemistry; physical sensing
2202	SoSBench: Benchmarking Safety Alignment on Six Scientific Domains Authors: Fengqing Jiang; Fengbo Ma; Zhangchen Xu; Yuetai Li; Zixin Rao; Bhaskar Ramasubramanian; Luyao Niu; Bo Li; Xianyan Chen; Zhen Xiang; Radha Poovendran Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Model; safety; alignment; scientific knowledge; misuse
2203	SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas Authors: Zihao Guo; Shuqing Shi; Richard Willis; Tristan Tomilin; Joel Z Leibo; Yali Du Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MARL; Sequential Social Dilemmas
2204	SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence Authors: Ziyang Gong; Wenhao Li; Xianzheng Ma; Songyuan Li; Zhaokai Wang; Songze Li; Jiayi Ji; Xue Yang; Gen Luo; Junchi Yan; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Evaluation Benchmark; Compositional Spatial Intelligence
2205	SpaCE-Eval: A Benchmark for Real-World Multi-Modal Reasoning Authors: Xuyou Yang; Yucheng Zhao; Wenxuan Zhang; Immanuel Koh Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Multi-modal Large Language Model; Visual Reasoning; Real World Environments; Evaluation
2206	SpatiaLab: Can Vision–Language Models Perform Spatial Reasoning in the Wild? Authors: Azmine Toushik Wasi; Wahid Faisal; Abdur Rahman; Mahfuz Ahmed Anik; Munem Shahriar; Mohsin Mahmud Topu; Sadia Tasnim Meem; Rahatun Nesa Priti; Sabrina Afroz Mitu; Md. Iqramul Hoqu… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Spatial reasoning; Vision–language models; Large languge models; Reasoning Models; LLM Evaluation; Spatial Understanding
2207	Spatial CAPTCHA: Generatively Benchmarking Spatial Reasoning for Human-Machine Differentiation Authors: Arina Kharlamova; Bowei He; Chen Ma; Xue Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: CAPTCHA; multimodal models; spatial reasoning; robustness; evaluation benchmark
2208	Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes Authors: Mohsen Gholami; Ahmad Rezaei; Zhou Weimin; Sitong Mao; Shunbo Zhou; Yong Zhang; Mohammad Akbari Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Vision Language Model; Spatial Reasoning; Multiview Images
2209	Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models Authors: Xinmiao Huang; Qisong He; Zhenglin Huang; Boxuan Wang; Zhuoyun Li; Guangliang Cheng; Yi Dong; Xiaowei Huang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Spatial Reasoning; Vision-Language Models; Benchmark
2210	SpatialViz-Bench: A Cognitively-Grounded Benchmark for Diagnosing Spatial Visualization in MLLMs Authors: Siting Wang; Minnan Pei; Luoyang Sun; Cheng Deng; Yuchen Li; Kun Shao; Zheng Tian; Haifeng Zhang; Jun Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Spatial Reasoning
2211	SpeakerVid-5M: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation Authors: Youliang Zhang; Zhaoyang Li; Duomin Wang; jiahe zhang; Deyu Zhou; Zixin Yin; Xili Dai; Gang YU; Xiu Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Video generation; Digital human; Human-Centric dataset
2212	Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences Authors: Dmitrii Korzh; Dmitrii Tarasov; Artyom Iudin; Elvir Karimov; Matvey Skripkin; Nikita Kuzmin; Andrey Kuznetsov; Oleg Rogov; Ivan Oseledets Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: ASR; multimodal LLM; speech processing; TTS; datasets
2213	SpeechJudge: Towards Human-Level Judgment for Speech Naturalness Authors: Xueyao Zhang; Chaoren Wang; Huan Liao; Ziniu Li; Yuancheng Wang; Li Wang; Dongya Jia; Yuanzhe Chen; Xiulin LI; Zhuo Chen; Zhizheng Wu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: speech naturalness; human dataset; RLHF; generative reward model; AudioLLM
2214	SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs Authors: Yuyou Zhang; Radu Corcodel; Chiori Hori; Anoop Cherian; Ding Zhao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Spatial reasoning; VLMs; benchmark
2215	SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus Authors: Ming Zhao; Wenhui Dong; Yang Zhang; XiangZheng; Zhonghao Zhang; Zian Zhou; YUNZHI GUAN; Liukun Xu; Wei Peng; Zhaoyang Gong; Zhicheng Zhang; Dachuan li; Xiaosheng Ma; Yuli Ma; Jian… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: VLM; LLM; Medical
2216	SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports Authors: Haotian Xia; Haonan Ge; Junbo Zou; Hyun Woo Choi; Xuebin Zhang; Danny Suradja; Botao Rui; Ethan Tran; Wendy Jin; Zhen Ye; Xiyang Lin; Christopher Lai; Shengjie Zhang; Junwen Miao;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Sports Understanding; Benchmark
2217	Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping Authors: Hao Shan; Ruikai Li; Han Jiang; Yizhe Fan; Ziyang Yan; Bohan Li; Xiaoshuai Hao; Hao Zhao; Zhiyong Cui; Yilong Ren; Haiyang Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Online HD Map Construction; Temporal Stability; Benchmarking; Autonomous Driving; Evaluation Metrics
2218	StoryAlign: Evaluating and Training Reward Models for Story Generation Authors: Haotian Xia; Hao Peng; Yunjia Qi; Bin Xu; Lei Hou; Juanzi Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Story Generation; Story Reward; Reward Bench
2219	SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis Authors: Shahriar Noroozizadeh; Xiaobin Shen; Jeremy Weiss; George H. Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Causal Inference; Survival Analysis; Treatment Effect; Datasets and Benchmarks; CATE
2220	SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models Authors: Ken Gu; Advait Bhat; Mike A Merrill; Robert West; Xin Liu; Daniel McDuff; Tim Althoff Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM Reasoning; Agents; Controlled Evaluation; RAG
2221	Synthetic History: Evaluating Visual Representations of the Past in Diffusion Models Authors: Maria-Teresa De Rosa Palmini; Eva Cetinic Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Generative AI Evaluation; Diffusion models; Synthetic Imagery; Cultural Bias in AI; Historical Representation
2222	SysMoBench: Evaluating AI on Formally Specifying Complex Real-World Systems Authors: Qian Cheng; Ruize Tang; Emilie Ma; Finn Hackett; Peiyang He; Yiming Su; Ivan Beschastnikh; Yu Huang; Xiaoxing Ma; Tianyin Xu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Specification; Benchmark; Distributed System; Concurrent System; Agentic AI; Large Language Model
2223	TABLET: A Large-Scale Dataset for Robust Visual Table Understanding Authors: Iñigo Alonso; Imanol Miranda; Eneko Agirre; Mirella Lapata Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Visual Table Understanding; Table Understanding; Datasets; Visually Represented Language; Multimodal Table Understanding
2224	TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations Authors: Gideon Stein; Niklas Penzel; Tristan Piater; Joachim Denzler Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Causal Discovery; Benchmark; Robustness; Time-Series; Causality
2225	THEMIS: Towards Holistic Evaluation of MLLMs for Scientific Paper Fraud Forensics Authors: Tzu-Yen Ma; Bo Zhang; Zichen Tang; Junpeng Ding; Haolin Tian; Yuanze Li; Zhuodi Hao; Zixin Ding; Zirui Wang; Xinyu Yu; Shiyao Peng; Yizhuo Zhao; Ruomeng Jiang; Yiling Huang; Peizh… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Vision Fraud Reasoning; Scientific Paper Fraud Detection; Benchmark
2226	TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal Models Authors: Zhenkun Gao; Xuhong Wang; Xin Tan; Yuan Xie Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MLLMs
2227	TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use Authors: Pengfei He; Zhenwei Dai; Bing He; Hui Liu; Xianfeng Tang; Hanqing Lu; Juanhui Li; Jiayuan Ding; Subhabrata Mukherjee; Suhang Wang; Yue Xing; Jiliang Tang; Benoit Dumoulin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM agent; tool usage; benchmark
2228	TSM-Bench: Detecting LLM-Generated Text in Real-World Wikipedia Editing Practices Authors: Gerrit Quaremba; Elizabeth Black; Denny Vrandecic; Elena Simperl Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: llm-generated text detection; editing tasks; wikipedia; benchmark; multilingual
2229	TaCo: A Benchmark for Lossless and Lossy Codecs of Heterogeneous Tactile Data Authors: Zhengxue Cheng; Yan Zhao; Keyu Wang; Hengdi ZHANG; Li Song Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Tactile Dataset; Lossless Compression; Lossy Compression; Heterogeneous Tactile Data
2230	Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs Authors: Eyal German; Sagiv Antebi; Daniel Samira; Asaf Shabtai; Yuval Elovici Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Membership Inference Attacks; Tabular Data; Large Language Models; Privacy Leakage; Table Encoding; QLoRA; Data Memorization; Structured Data; Benchmarking; Mo…
2231	Talk, Evaluate, Diagnose: User-aware Agent Evaluation with Automated Error Analysis Authors: Penny Chong; Harshavardhan Abichandani; Jiyuan SHEN; Atin Ghosh; Min Pyae Moe; Yifan Mai; Daniel Dahlmeier Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: agent evaluation; metric; LLM agents; error analysis
2232	TandemFoilSet: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils Authors: Wei Xian Lim; Loh Sher En Jessica; Zenong Li; Thant Zin Oo; Wai Lee Chan; Adams Wai-Kin Kong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Physics-informed Graph Neural Network; Tandem-Airfoil; Flow Field Prediction; CFD; Aerodynamics
2233	Tell me Habibi, is it Real or Fake? Authors: Kartik Kuckreja; Parul Gupta; Injy Hamed; Thamar Solorio; Muhammad Haris Khan; Abhinav Dhall Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Deepfakes; multilingual; multimodal; code-switching
2234	Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Authors: Mike A Merrill; Alexander Glenn Shaw; Nicholas Carlini; Boxuan Li; Harsh Raj; Ivan Bercovich; Lin Shi; Jeong Yeon Shin; Thomas Walshe; E. Kelly Buchanan; Junhong Shen; Guanghao Ye… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmark; dataset; agents
2235	The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical Proofs Authors: Jasper Dekoninck; Ivo Petrov; Kristian Minchev; Miroslav Marinov; Maria Drencheva; Lyuba Konova; Milen Milenov Shumanov; Kaloyan Tsvetkov; Nikolay Drenchev; Lazar D. Todorov; Kali… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: ai; artificial intelligence; reasoning; llm; math; benchmark; dataset; proof; gpt; machine learning
2236	The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation Authors: Ruichen Zhang; Rana Shahroz; Zhen Tan; Dawei Li; Song Wang; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Chain-of-Thought; Knowledge Distillation; Large Language Models; Benchmarking; Data Augmentation; Data Selection; Data Mixing
2237	The Seismic Wavefield Common Task Framework Authors: Alexey Yermakov; Yue Zhao; Marine Denolle; Yiyu Ni; Philippe Martin Wyder; Judah Goldfeder; Stefano Riva; Jan P. Williams; David Zoro; Amy Sara Rude; Matteo Tomasetto; Joe Germany… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Seismology; Scientific Machine Learning; Common Task Framework; Seismic Wavefields; Geophysics
2238	The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution Authors: Junlong Li; Wenshuo Zhao; Jian Zhao; Weihao Zeng; Haoze Wu; Xiaochen Wang; Rui Ge; Yuxuan Cao; Yuzhen Huang; Wei Liu; Junteng Liu; Zhaochen Su; Yiyang Guo; Fan Zhou; Lueyang Zhang… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: language agents; tool use; benchmark
2239	Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration? Authors: Pingyue Zhang; Zihan Huang; Yue Wang; Jieyu Zhang; Letian Xue; Zihan Wang; Qineng Wang; Keshigeyan Chandrasegaran; Ruohan Zhang; Yejin Choi; Ranjay Krishna; Jiajun Wu; Li Fei-Fei;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Mode; Vision-Language Model; Spatial Reasoning; Spatial Agent; Active Exploration
2240	Theory-Grounded Evaluation of Human-Like Fallacy Patterns in LLM Reasoning Authors: Andrew Keenan Richardson; Ryan Othniel Kearns; Sean Moss; Vincent Wang; Philipp Koralus Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLMs; language models; reasoning; synthetic data; contamination-proof; human-like errors; cognitive fallacies; Erotetic Theory of Reasoning; PyETR; logical fal…
2241	TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale Authors: Malgorzata Gwiazda; Yifu Cai; Mononito Goswami; Arjun Choudhry; Artur Dubrawski Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Time Series Reasoning; Scalable Benchmarking; AI Agent; Multimodal Learning
2242	Towards Multimodal Data-Driven Scientific Discovery Powered by LLM Agents Authors: Fan Liu; Xiaozhao Zeng; Hao Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Data-driven Scientific Discovery; LLM Agent
2243	Towards Personalized Deep Research: Benchmarks and Evaluations Authors: Yuan Liang; Jiaxian Li; Yuqing Wang; WANG PIAOHONG; Motong Tian; Pai Liu; Shuofei Qiao; Runnan Fang; He Zhu; Ge Zhang; Minghao Liu; Yuchen Eleanor Jiang; Ningyu Zhang; Wangchunshu… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Personalization; benchmark; Deep Research; Agent
2244	Towards Self-Evolving Agent Benchmarks : Validatable Agent Trajectory via Test-Time Exploration Authors: Dadi Guo; Tianyi Zhou; Dongrui Liu; Chen Qian; Qihan Ren; Shuai Shao; Zhiyuan Fan; Yi R. Fung; Kun Wang; Linfeng Zhang; Jing Shao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark Evolution; Agent Evaluation; Test-Time Exploration; Multi-Agent Systems; Large Language Models; Dynamic Task Generation
2245	Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Method Authors: Haochen Wang; Xiangtai Li; Zilong Huang; Anran Wang; Jiacong Wang; Tao Zhang; Jiani zheng; Sule Bai; Zijian Kang; Jiashi Feng; Wang Zhuochen; Zhaoxiang Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: visual reasoning; benchmark; thinking with images; MLLM
2246	TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models Authors: Yue Huang; Chujie Gao; Siyuan Wu; Haoran Wang; Xiangqi Wang; Jiayi Ye; Yujun Zhou; Yanbo Wang; Jiawen Shi; Qihui Zhang; Han Bao; Zhaoyi Liu; Yuan Li; Tianrui Guan; Peiran Wang; Ha… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: trustworthiness; generative model; large language model; vision-language model; dynamic evaluation; benchmark
2247	U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding Authors: Anjie Le; Henan Liu; wangyue; Zhenyu Liu; Rongkun Zhu; Taohan Weng; Jinze Yu; Boyang Wang; Yalun Wu; Kaiwen Yan; Quanlin Sun; Meirui Jiang; Jialun Pei; Siya Liu; Haoyun Zheng; Zho… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: medical ultrasound; benchmark; large vision-language model
2248	UIS-Digger: Towards Comprehensive Research Agent Systems for Real-world Unindexed Information Seeking Authors: Chang Liu; Chuqiao Kuang; Tianyi Zhuang; Yuxin Cheng; Huichi Zhou; Xiaoguang Li; Lifeng Shang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Dataset; Agent; Information Seeking
2249	ULTRA-360: Unconstrained Dataset for Large-scale Temporal 3D Reconstruction across Altitudes and Omnidirectional Views Authors: Xijun Liu; Zhaoliang Zhang; Yuxiang Guo; Yifan Zhou; Rama Chellappa; Cheng Peng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large-scale 3D reconstruction; feature matching; novel-view synthesis
2250	USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning Capabilities of LLMs as Urban Agents Authors: Siqi Lai; Yansong Ning; Zirui Yuan; Zhixi Chen; Hao Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large language model; spatiotemporal reasoning; urban science
2251	Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations Authors: Linjie Li; Mahtab Bigverdi; Jiawei Gu; Zixian Ma; Yinuo Yang; Ziang Li; Yejin Choi; Ranjay Krishna Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: spatial reasoning; visual reasoning
2252	Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the HUMAINE Framework Authors: Nora Petrova; Andrew Gordon; Enzo Blindow Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Leaderboards; LLM; Evaluation; Benchmarking
2253	Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection Authors: Yao Xiao; Weiyan Chen; Jiahao Chen; Zijie Cao; Weijian Deng; Binbin Yang; ZiYi Dong; Xiangyang Ji; Wei Ke; Pengxu Wei; Liang Lin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI-generated Image Detection; Perceptual Artifact
2254	Unveiling the Cognitive Compass: Theory-of-Mind–Guided Multimodal Emotion Reasoning Authors: Meng Luo; Bobo Li; Shanqing Xu; Shize Zhang; Qiuchan Chen; Menglu Han; Wenhao Chen; Yanxiang Huang; Hao Fei; Mong-Li Lee; Wynne Hsu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Affective Computing; Multimodal Understanding and Reasoning; Reinforcement Learning
2255	UrbanFeel：A Comprehensive Benchmark for Temporal and Perceptual Understanding of City Scenes through Human Perspective Authors: Jun He; Yi Lin; Zilong Huang; Jiacong Yin; Junyan Ye; Yuchuan Zhou; Weijia Li; Xiang Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Urban Change; Urban Perception; Multimodel Large Language Models
2256	V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction Authors: Yiming Zhao; Yu Zeng; Yukun Qi; YaoYang Liu; Xikun Bao; Lin Chen; Zehui Chen; Qing Miao; Chenxi Liu; Jie Zhao; Feng Zhao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LVLMs; Video Understanding; Visual Prompting
2257	VERIFY: A Novel Multi-Domain Dataset Grounding LTL in Contextual Natural Language via Provable Intermediate Logic Authors: Paapa Kwesi Quansah; Pablo Rivas; Ernest Bonnah Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; Linear Temporal Logic; model checking; formal verification
2258	VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning? Authors: Minkyu Kim; Sangheon Lee; Dongmin Park Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Vision-language Models; Multimodal Large Language Models; Comparative Reasoning; Benchmark; Visual Question Answering
2259	VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Safety Authors: Shruti Palaskar; Leon Alexander Gatys; Mona Abdelrahman; Mar Jacobo; Laurence F Lindsey; Rutika Moharir; Gunnar Lund; Yang Xu; Navid Shiee; Jeffrey P. Bigham; Charles Maalouf; Jos… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI Safety; Vision Language Models; Safety Alignment
2260	VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents Authors: Tri Cao; Bennett Lim; Yue Liu; Yuan Sui; Yuexin Li; Shumin Deng; Lin Lu; Nay Oo; Shuicheng YAN; Bryan Hooi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Web Agent; Attack; Computer Use-Agent; Browser-Use Agent; Dataset; Benchmark
2261	VUDG: A Dataset for Video Understanding Domain Generalization Authors: Ziyi Wang; Zhi Gao; Boxuan Yu; Zirui Dai; Peiyao Wang; Yuxiang Song; Qingyuan Lu; Jin Chen; Xinxiao Wu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Video Understanding; Dataset; Domain Generalization
2262	VaseVQA-3D: Benchmarking 3D VLMs on Ancient Greek Pottery Authors: Nonghai Zhang; Zeyu Zhang; Jiazi Wang; Yang Zhao; Hao Tang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Vision-Language Models; Vision Question Answering; Ancient Greek Pottery; Cultural Heritage; Dataset Construction; 3D Generation; Archaeological AI; Multimodal…
2263	VenusX: Unlocking Fine-Grained Functional Understanding of Proteins Authors: Yang Tan; Wenrui Gou; Bozitao Zhong; Huiqun Yu; Liang Hong; Bingxin Zhou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: protein substructure prediction; protein function prediction; molecule representation learning; pre-trained protein language model; fine-grained protein annota…
2264	VeriEquivBench: An Equivalence Score for Ground-Truth-Free Evaluation of Formally Verifiable Code Authors: Lingfei Zeng; Fengdi Che; Xuhan Huang; Fei Ye; Xu Xu; Binhang Yuan; Jie Fu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Formal verification; verifiable coding agents; code generation; large language models; benchmark
2265	VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models Authors: Yuchen Yan; Jin Jiang; Zhenbang Ren; Yijun Li; Xudong Cai; Yang Liu; Xin Xu; Mengdi Zhang; Jian Shao; Yongliang Shen; Jun Xiao; Yueting Zhuang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Reference-based reward bench; Reward for reinforcement learning
2266	Video-LevelGauge: Investigating Contextual Positional Bias in Video Language Models. Authors: Hou Xia; Zheren Fu; Fangcan Ling; Jiajun Li; Yi Tu; Zhendong Mao; Yongdong Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Contextual Positional Bais; Video Benchmark; Large Video Language Model
2267	VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Video Authors: Hanoona Abdul Rasheed; Abdelrahman M Shaker; Anqi Tang; Muhammad Maaz; Ming-Hsuan Yang; Salman Khan; Fahad Shahbaz Khan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Reasoning; Video Question Answering; Mathematical Understanding; Temporal Reasoning; Visual Grounding
2268	VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation Authors: Hritik Bansal; Clark Peng; Yonatan Bitton; Roman Goldenberg; Aditya Grover; Kai-Wei Chang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: physical commonsense; semantic adherence; video generation; benchmark; auto evaluator
2269	VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning? Authors: Yuanxin Liu; Kun Ouyang; Haoning Wu; Yi Liu; Lin Sui; Xinhao Li; Yan Zhong; Y.Charles; Xinyu Zhou; Xu Sun Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: video reasoning; multimodal large language models
2270	Virne: A Comprehensive Benchmark for RL-based Network Resource Allocation in NFV Authors: Tianfu Wang; Liwei Deng; Xi Chen; Junyang Wang; Huiguo He; Zhengyu Hu; Wei Wu; Leilei Ding; Qilin Fan; Hui Xiong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Network Resource Allocation; Deep Reinforcement Learning; Library; Benchmark; Network Simulation
2271	Virtual Community: An Open World for Humans, Robots, and Society Authors: Qinhong Zhou; Hongxin Zhang; Xiangye Lin; Zheyuan Zhang; Yutian Chen; Wenjun Liu; Zunzhe Zhang; Sunli Chen; Lixing Fang; Qiushi Lyu; Xinyu Sun; Jincheng Yang; Zeyuan Wang; Bao Chi… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: embodied AI; multi-agent; simulation
2272	VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations Authors: Yupeng Xie; Zhiyang Zhang; Yifan Wu; Sirong Lu; Jiayi Zhang; Zhaoyang Yu; Jinlin Wang; Sirui Hong; Bang Liu; Chenglin Wu; Yuyu Luo Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Visualization Assessment; Data Visualization
2273	VisioMath: Benchmarking Figure-based Mathematical Reasoning in LMMs Authors: Can Li; Ying Liu; Ting Zhang; Mei Wang; Hua Huang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Figure-based Mathematical Reasoning; Large Multimodal Models; Mathematical Benchmark
2274	Vision Language Models are Biased Authors: An Vo; Khai-Nguyen Nguyen; Mohammad Reza Taesiri; Vy Tuong Dang; Anh Totti Nguyen; Daeyoung Kim Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: vision language models; multimodal reasoning; benchmark; bias
2275	VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models Authors: Weiye Xu; Jiahao Wang; Weiyun Wang; Zhe Chen; Wengang Zhou; Aijun Yang; Lewei Lu; Houqiang Li; Xiaohua Wang; Xizhou Zhu; Wenhai Wang; Jifeng Dai; Jinguo Zhu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-modal Large Language Models; Benchmark; Visual Reasoning
2276	VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications Authors: Wei He; Yueqing Sun; Hongyan Hao; Xueyuan Hao; Zhikang Xia; Qi GU; Hui Su; Xunliang Cai Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: llm agent; tool use; multi-turn interaction; real-world application
2277	VoxPrivacy: A Benchmark for Evaluating Interactional Privacy of Speech Language Models Authors: Yuxiang Wang; HongYu Liu; Dekun Chen; Xueyao Zhang; Zhizheng Wu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Speech Language Model; Interactional Privacy
2278	WARC-Bench: Web Archive based Benchmark for GUI Subtask Executions Authors: Sanjari Srivastava; Gang Li; Cheng Chang; Rishu Garg; Manpreet Kaur; Charlene Y. Lee; Yuezhang Li; Yining Mao; Ignacio Cases; Yanan Xie; Peng Qi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: web navigation benchmark; reinforcement learning
2279	We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning Authors: Runqi Qiao; Qiuna Tan; Peiqing Yang; Yanzi Wang; Xiaowan Wang; Enhui Wan; Guanting Dong; Shiqiang Lang; Sitong Zhou; Yida Xu; Yuchen Zeng; Jie Wang; Chong Sun; Chen Li; Honggang Z… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Mathematical Reasoning; Multimodal Large Language Models
2280	WearVox: An Egocentric Multichannel Voice Assistant Benchmark for Wearables Authors: Zhaojiang Lin; YONG XU; Kai Sun; Jing Zheng; Yin Huang; Surya Teja Appini; Krish Narang; Renjie Tao; Ishan Kapil Jain; Siddhant Arora; Ruizhi Li; Yiteng Huang; Kaushik Patnaik; We… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Speech Large Language Models; SLLM; Voice Assistant; Benchmark
2281	WebDS: An End-to-End Benchmark for Web-based Data Science Authors: Ethan Hsu; Hong Meng Yam; Ines Bouissou; Aaron Murali John; Raj Thota; Josh Koe; Vivek Sarath Putta; G K Dharesan; Alexander Spangher; Shikhar Murty; Tenghao Huang; Christopher D… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Model; Benchmark; Data Science; LLM Agents
2282	WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents Authors: Sicheng Fan; Qingyun Shi; Shengze Xu; Shengbo Cai; Tieyong Zeng; LI LING; Yanyi Shang; Dehan Kong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: web agent; offline web environment; benchmark; reinforcement learning; synthetic data; GUI grounding
2283	When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets Authors: Aladin Djuhera; Farhan Ahmed; Swanand Ravindra Kadhe; Syed Zawad; Heiko Ludwig; Holger Boche Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: reinforcement learning; direct preference optimization; post training; large language models; data quality; data annotation
2284	When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorations Authors: Kailin Jiang; Yuntao Du; Yukai Ding; Yuchen Ren; Ning Jiang; Zhi Gao; Zilong Zheng; Lei Liu; Bin Li; Qing Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Evolving Knowledge Injection; Large multimodal model; Benchmark and Dataset
2285	When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation Authors: Zhishang Xiang; Chuanjie Wu; Qinggang Zhang; Shengyuan Chen; Zijin Hong; Xiao Huang; Jinsong Su Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: RAG; GraphRAG; GraphRAG Benchmark
2286	Why We Need New Benchmarks for Local Intrinsic Dimension Estimation Authors: Piotr Tempczyk; Dominik Filipiak; Łukasz Garncarek; Ksawery Smoczyński; Adam Kurpisz Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Local intrinsic dimension estimation; LIDL; FLIPD; Diffusion Models; Benhamark; Normalizing Flows; ESS; Normal Bundle; NB; LID
2287	WideSearch: Benchmarking Agentic Broad Info-Seeking Authors: Ryan Wong; Jiawei Wang; Junjie zhao; Li Chen; Yan Gao; Zhanglong; Xuan Zhou; Zuo Wang; Kai Xiang; Ge Zhang; Wenhao Huang; Yang Wang; WANG KE Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM Evaluation; Info-Seeking Benchmark; Search Agent
2288	WorldEdit: Towards Open-World Image Editing with a Knowledge-Informed Benchmark Authors: Wang Lin; Feng Wang; Majun Zhang; Wentao Hu; Tao Jin; Zhou Zhao; Fei Wu; Jingyuan Chen; Sucheng Ren; Alan Yuille Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Image Editing
2289	WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs Authors: Jack Hong; Shilin Yan; Jiayin Cai; Xiaolong Jiang; Yao Hu; Weidi Xie Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: OmniModality; Multimodal LLMs; Benchmark; Real-World Understanding
2290	XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models Authors: Xingrui Wang; Jiang Liu; Chao Huang; Xiaodong Yu; Ze Wang; Ximeng Sun; Jialian Wu; Alan Yuille; Emad Barsoum; Zicheng Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Omni-modal Benchmark; Cross-modal consistency
2291	Zebra-CoT: A Dataset for Interleaved Vision-Language Reasoning Authors: Ang Li; Charles L. Wang; Deqing Fu; Kaiyu Yue; Zikui Cai; Wang Bill Zhu; Ollie Liu; Peng Guo; Willie Neiswanger; Furong Huang; Tom Goldstein; Micah Goldblum Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: visual chain of thought; interleaved text and image generation; multimodal reasoning
2292	jqBench: a benchmark for reading and editing JSON from natural language and/or examples Authors: Gust Verbruggen; Chris Parnin; Vu Le; Sumit Gulwani Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: JSON; benchmark; code generation; nl-to-code; programming-by-example
2293	lmgame-Bench: How Good are LLMs at Playing Games? Authors: Lanxiang Hu; Mingjia Huo; Yuxuan Zhang; Haoyang Yu; Eric P. Xing; Ion Stoica; Tajana Rosing; Haojian Jin; Hao Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; VLM; Agents; Benchmark; Games
2294	$\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space Authors: Peihao Wang; Ruisi Cai; Zhen Wang; Hongyuan Mei; qiang liu; Pan Li; Zhangyang Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning; Test-Time Training; Textual Optimization; including LLMs
2295	3D Aware Region Prompted Vision Language Model Authors: An-Chieh Cheng; Yang Fu; Yukang Chen; Zhijian Liu; Xiaolong Li; Subhashree Radhakrishnan; Song Han; Yao Lu; Jan Kautz; Pavlo Molchanov; Hongxu Yin; Xiaolong Wang; Sifei Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Language Models; Spatial Reasoning; including LLMs
2296	A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic Authors: Joseph Cotnareanu; Didier Chételat; Yingxue Zhang; Mark Coates Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reasoning; Logic; Artificial Intelligence; Large Language Models; Abduction; including LLMs
2297	A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QA Authors: Kaiyang Wan; Lang Gao; Honglin Mu; Preslav Nakov; Yuxia Wang; Xiuying Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; multi-hop question answering; information-theoretic analysis; multi-call reasoning framework; including LLMs
2298	A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space Authors: Bingjie Zhang; Yibo Yang; Renzhe; Dandan Guo; Jindong Gu; Philip Torr; Bernard Ghanem Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: safety alignment; safety preservation; low-rank adaptation; parameter-efficient fine-tuning; including LLMs
2299	A State-Transition Framework for Efficient LLM Reasoning Authors: Liang Zhang; Yu Zhao; Longyue Wang; Tianqi Shi; Weihua Luo; Kaifu Zhang; Jinsong Su Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; reasoning; efficient reasoning; including LLMs
2300	A Unified Federated Framework for Trajectory Data Preparation via LLMs Authors: Zhihao Zeng; Ziquan Fang; Wei Shao; Lu Chen; Yunjun Gao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Trajectory Data Preparation; Federated Learning; Large Language Model; Trajectory Preprocessing; including LLMs
2301	A$^2$FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning Authors: Qianben Chen; Jingyi Cao; Jiayu Zhang; Tianrui Qin; LiXiaowan; King Zhu; Dingfeng Shi; He Zhu; Minghao Liu; Xiaobo Liang; Ge Zhang; Jian Yang; Yuchen Eleanor Jiang; Wangchunshu Zh… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Adaptive LLMs; Deep Research; Agent Reasoning; including LLMs
2302	A$^2$Search: Ambiguity-Aware Question Answering with Reinforcement Learning Authors: Fengji Zhang; Xinyao Niu; Chengyang Ying; Guancheng Lin; Zhongkai Hao; Zhou Fan; Chengen Huang; Jacky Keung; Bei Chen; Junyang Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-hop QA; Reinforcement Learning; GRPO; Large Language Model; LLM agent; including LLMs
2303	ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning Authors: Jinyang Zhang; Yue Fang; Hongxin Ding; Weibin Liao; Muyang Ye; Junfeng Zhao; Yasha Wang; Xu Chu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Continual Pretrain; Large Language Models; Parameter-Efficient Training; including LLMs
2304	AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing Authors: Tianbo Wang; Yuqing Ma; Kewei Liao; Zhange Zhang; Simin Li; Jinyang Guo; Xianglong Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Vision-Language Model; Hallucination Mitigation; Activation Editing; inferece-time; including LLMs
2305	ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning Authors: Jihye Choi; Jinsung Yoon; Jiefeng Chen; Somesh Jha; Tomas Pfister Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-agent orchestration; Real-world travel planning; Constraints-aware planning; including LLMs
2306	Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles Authors: Qingyan Wei; Yaojie Zhang; Zhiyuan Liu; Puyu Zeng; Yuxuan Wang; Biqing Qi; Dongrui Liu; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Diffusion Models; Model Acceleration; Adaptive Sampling; including LLMs
2307	AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy Authors: Zihan Liu; Zhuolin Yang; Yang Chen; Chankyu Lee; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Reasoning; Reinforcement Learning; Supervised Fine-tuning; Math; Code; including LLMs
2308	Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning Authors: Haiteng Zhao; Junhao Shen; Yiming Zhang; Songyang Gao; Kuikun Liu; Tianyou Ma; Fan Zheng; Dahua Lin; Wenwei Zhang; Kai Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Reinforcement Learning; Geometry Agent Prover; including LLMs
2309	Achieving low-bit Muon through subspace preservation and grid quantization Authors: Huaijin Wu; Bingrui Li; Yebin Yang; Yi Tu; Zhanpeng Zhou; Jianfei Chen; Junchi Yan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; memory-efficient; quantization; low-bit; Muon optimizer; including LLMs
2310	Activation Steering with a Feedback Controller Authors: Dung Viet Nguyen; Yen Nhi Pham; Hieu M. Vu; Lei Zhang; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: activation steering; behaviour control; alignment; PID control; mechanistic interpretability; language models; including LLMs
2311	ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment Authors: Xiaoqiang Lin; Arun Verma; Zhongxiang Dai; Daniela Rus; See-Kiong Ng; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Active Data Selection; Direct Preference Optimization; Human Feedback; LLM Alignment; including LLMs
2312	Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning Authors: Wei Yang; Defu Cao; Jiacheng Pang; Muyan Weng; Yan Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-Agent; Adaptive Collaboration; Policy Optimization; Large Language Models; including LLMs
2313	Adaptive Thinking: Large Language Models Know When to Think in Latent Space Authors: Pingzhi Li; Bairu Hou; Yun Zhu; Yihao Feng; Ke Ye; Tao Lei; Zhifeng Chen; Tianlong Chen; Xianzhi Du Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning; Efficiency; Self-Consistency; including LLMs
2314	Advancing Complex Video Object Segmentation via Progressive Concept Construction Authors: Zhixiong Zhang; Shuangrui Ding; Xiaoyi Dong; Songxin He; Jianfan Lin; Junsong Tang; Yuhang Zang; Yuhang Cao; Dahua Lin; Jiaqi Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: SAM2; LVLM; including LLMs
2315	AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems? Authors: Guibin Zhang; Junhao Wang; Junjie Chen; Wangchunshu Zhou; Kun Wang; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Agent; Agentic System; Failure Attribution; including LLMs
2316	AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent Authors: Haipeng Luo; Huawen Feng; Qingfeng Sun; Can Xu; Kai Zheng; Yufei Wang; TAO YANG; Han Hu; Yansong Tang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mathematical reasoning; Large Language Models; Reinforcement Learning; Agent; including LLMs
2317	AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents Authors: Jingxu Xie; Dylan Xu; Xuandong Zhao; Dawn Song Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Synthetic data; Computer-use agents; Scalable; including LLMs
2318	Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models Authors: Qizheng Zhang; Changran Hu; Shubhangi Upasani; Boyuan Ma; Fenglu Hong; Vamsidhar Kamanuru; Jay Rainton; Chen Wu; Mengmeng Ji; Hanchen Li; Urmish Thakker; James Zou; Kunle Olukotun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Agents; Context Engineering; Continual Learning; Agent Memory; Test-Time Scaling; Self-Improving LLMs; including LLMs
2319	Agentic Reinforcement Learning with Implicit Step Rewards Authors: Xiaoqian Liu; Ke Wang; Yuchuan Wu; Fei Huang; Yongbin Li; Jianbin Jiao; Junge Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reinforcement learning; large language model; agent; process reward; including LLMs
2320	Alignment-Enhanced Integration of Connectivity and Spectral Sparsity in Dynamic Sparse Training of LLM Authors: Wenjing Wu; Yingtao Zhang; Jialin Zhao; Carlo Vittorio Cannistraci Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: dynamic sparse training; low-rank factorization; spectral sparse training; efficient training; including LLMs
2321	AlphaAgentEvo: Evolution-Oriented Alpha Mining via Self-Evolving Agentic Reinforcement Learning Authors: Ziyi Tang; Xuexiong Yin; Weixing Chen; Zechuan Chen; Yongsen Zheng; Wenxuan Ye; Keze Wang; Liang Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Alpha Mining; Agentic AI; Quantitative Investment; Self-evolving Agent; including LLMs
2322	An Information Theoretic Perspective on Agentic System Design Authors: Shizhe He; Avanika Narayan; Ishan S. Khare; Scott Linderman; Christopher Re; Dan Biderman Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: information bottleneck; rate-distortion theory; agentic collaboration; large language models; scaling laws; including LLMs
2323	Anchored Supervised Fine-Tuning Authors: He Zhu; Junyou Su; Peng Lai; Ren Ma; Wenjia Zhang; Linyi Yang; Guanhua Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: SFT; including LLMs
2324	Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models Authors: Samuel J Paech; Allen G Roush; Judah Goldfeder; Ravid Shwartz-Ziv Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: AI slop; slop; constrained generation; delve; patterns; sampleing; dpo; preference optimization; fine-tuning; fine tuning; creativity; AI writing; Creative AI;…
2325	Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' Memory Authors: Xingjian Tao; Yiwei Wang; Yujun Cai; Zhicheng Yang; Jing Tang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Knowledge-based QA; Memory of LLMs; including LLMs
2326	Are Reasoning LLMs Robust to Interventions on their Chain-of-Thought? Authors: Alexander von Recum; Leander Girrbach; Zeynep Akata Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; reasoning model; robustness; chain of thought; including LLMs
2327	Aria: an Agent for Retrieval and Iterative Auto-Formalization via Dependency Graph Authors: Hanyu Wang; Ruohan Xie; Yutong Wang; Guoxiong Gao; XintaoYu; Bin Dong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Lean 4; Autoformalization; LLM; Graph-of-Thought; Retrieval Augmented Generation; including LLMs
2328	Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning Authors: Jiashun Liu; Johan Obando-Ceron; Han Lu; Yancheng He; Weixun Wang; Wenbo Su; Bo Zheng; Pablo Samuel Castro; Aaron Courville; Ling Pan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Large Language Model; Math Reasoning; including LLMs
2329	AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Authors: Haoyu Huang; Hong Ting Tsang; Jiaxin Bai; Xi Peng; Gong Zhang; Yangqiu Song Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; Knowledge augmentation; Knowledge graph; including LLMs
2330	Attend to the Active: Structure-Aware Dynamic Attention in LLMs for Compositional Instruction Following Authors: Fangrui Lv; Yulei Qin; Ruixin Hong; Jian Liang; Jinyang Wu; Ke Li; Xing Sun; Changshui Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Instruction Following; Dynamic Attention; Large Language Models; including LLMs
2331	Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin Authors: Enrique Queipo-de-Llano; Alvaro Arroyo; Federico Barbero; Xiaowen Dong; Michael M. Bronstein; Yann LeCun; Ravid Shwartz-Ziv Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: attention sinks; compression valleys; deep trasformer-based LLMs; including LLMs
2332	AutoCode: LLMs as Problem Setters for Competitive Programming Authors: Shang Zhou; Zihan Zheng; Kaiyuan Liu; Zeyu Shen; Zerui Cheng; Zexing Chen; Hansen He; Jianzhu Yao; Huanzhi Mao; Qiuyang Mang; Tianfu Fu; Beichen Li; Dongruixuan Li; Wenhao Chai; Z… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Competitive Programming; Test Case Generation; Problem Generation; including LLMs
2333	AutoLibra: Agent Metric Induction from Open-Ended Human Feedback Authors: Hao Zhu; Phil Cuvin; Xinkai Yu; Charlotte Ka Yee Yan; Jason Zhang; Diyi Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Agent; Evaluation; LLM; including LLMs
2334	AutoMetrics: Approximate Human Judgments with Automatically Generated Evaluators Authors: Michael J Ryan; Yanzhe Zhang; Amol Salunkhe; Yi Chu; Di Xu; Diyi Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: evaluation; LLM-as-a-judge; metrics; human feedback; open-ended tasks; user-centered evaluation; data-efficient evaluation; automatic metric generation; benchm…
2335	Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors Authors: Xin Liu; Runsong Zhao; Pengcheng Huang; Xinyu Liu; Junyi Xiao; Chunyang Xiao; Tong Xiao; Shengxiang Gao; Zhengtao Yu; JingBo Zhu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Context Compression; Long Context LLMs; LLM Memory; including LLMs
2336	Automated Formalization via Conceptual Retrieval-Augmented LLMs Authors: Wangyue Lu; Lun Du; Sirui Li; Ke Weng; Haozhe Sun; Hengyu Liu; Minghe Yu; Tiancheng Zhang; Ge Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Autoformalization; Retrieval-augmented Generation; including LLMs
2337	Automated Stateful Specialization for Adaptive Agent Systems Authors: Myan Vu; Harrish Ayyanar; PANG JIANG; Anwiketh Reddy; Mayank Goel Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; Autonomous Agents; Agent Specialization; including LLMs
2338	Autoregressive Models Rival Diffusion Models at ANY-ORDER Generation Authors: Tianqi Du; Lizhe Fang; Weijie Yang; Chenheng Zhang; Zeming Wei; Yifei Wang; Yisen Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; permutation language model; including LLMs
2339	Avey-B Authors: Devang Acharya; Mohammad Hammoud Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Bidirectional models; Transformer-based encoders; including LLMs
2340	BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping Authors: Zhiheng Xi; Xin Guo; Yang Nan; Enyu Zhou; Junrui Shen; Wenxiang Chen; Jiaqi Liu; Jixuan Huang; Xun Deng; Zhihao Zhang; Honglin Guo; Zhikai Lei; Miao Zheng; Guoteng Wang; Peng Sun;… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RLVR; LLM Reasoning; including LLMs
2341	BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design Authors: Deepro Choudhury; Sinead Williamson; Adam Golinski; Ning Miao; Freddie Bickford Smith; Michael Kirchhof; Yizhe Zhang; Tom Rainforth Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: experimental design; Bayesian experimental design; BED; expected information gain; EIG; information gain; Bayesian; uncertainty; LLM; conversational agent; cla…
2342	BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning Authors: Qianli Shen; Daoyuan Chen; Yilun Huang; Zhenqing Ling; Yaliang Li; Bolin Ding; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement finetuning (RFT); Large Language Models (LLMs); Online task selection; Bayesian inference; including LLMs
2343	Balancing the Experts: Unlocking LoRA-MoE for GRPO via Mechanism-Aware Rewards Authors: Changlian Ma; Zizheng Huang; Xiangyu Zeng; Yi Wang; Cheng Liang; Kun Tian; Xinhai Zhao; Limin Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Reinforcement Learning from Human Feedback (RLHF); Mixture-of-Experts (MoE); Parameter-Efficient Fine-Tuning (PEFT); Group Relati…
2344	Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation Authors: Arthur S. Bianchessi; Yasmin C. Aguirre; Rodrigo C. Barros; Lucas S. Kupssinskü Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Positional Encoding; Large Language Model; Transformer; Long Context; Attention Mechanism; including LLMs
2345	Benchmarking ECG FMs: A Reality Check Across Clinical Tasks Authors: M A Al-Masud; Juan Lopez Alcaraz; Nils Strodthoff Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: ECG; foundation model; benchmark; representation learning; including LLMs
2346	Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation Authors: Hongtao Yu; Yuxin Peng; Serge Belongie; Xiu-Shen Wei Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Empirical Study; Large Vision-Language Model; Benchmark; Evaluation; including LLMs
2347	Best-of-Infinity: Asymptotic Performance of Test-Time LLM Ensembling Authors: Junpei Komiyama; Daisuke Oba; Masafumi Oyamada Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; test-time compute; majority voting; LLM ensemble; including LLMs
2348	Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? Authors: Coen Adler; Yuxin Chang; Samar Abdi; Felix Draxler; Padhraic Smyth Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Time Series; Foundation Models; Calibration; Confidence; including LLMs
2349	Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty Authors: Mehul Damani; Isha Puri; Stewart Slocum; Idan Shenfeld; Leshem Choshen; Yoon Kim; Jacob Andreas Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RL; calibration; reasoning; uncertainty; including LLMs
2350	Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models Authors: Jinsong Li; Xiaoyi Dong; Yuhang Zang; Yuhang Cao; Jiaqi Wang; Dahua Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Diffusion Language Model; Training-Free; including LLMs
2351	Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data Authors: Haoran Deng; Yingyu Lin; Zhenghao Lin; Xiao Liu; Yizhou Sun; Yian Ma; Yeyun Gong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Data Curation; including LLMs
2352	Beyond Linear Processing: Dendritic Bilinear Integration in Spiking Neural Networks Authors: Jingyang Ma; Chongming Liu; Songting Li; Douglas Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: spiking neuron models; spiking neural networks; dendritic integration; brain-inspired computing; including LLMs
2353	Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE Authors: Guancheng Wan; Lucheng Fu; Haoxin Liu; Yiqiao Jin; Hui Yi Leong; Eric Hanchen Jiang; Hejia Geng; Jinhe Bi; Yunpu Ma; Xiangru Tang; B. Aditya Prakash; Yizhou Sun; Wei Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; LLM Agent; Prompt Evolving; including LLMs
2354	Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning Authors: Shenao Zhang; Yaqing Wang; Yinxiao Liu; Tianqi Liu; Peter Grabowski; Eugene Ie; Zhaoran Wang; Yunxuan Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; reinforcement learning; including LLMs
2355	Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries Authors: Divyat Mahajan; Sachin Goyal; Badr Youbi Idrissi; Mohammad Pezeshki; Ioannis Mitliagkas; David Lopez-Paz; Kartik Ahuja Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Teacher Forcing; Multi-Token Prediction; Pretraining; Large Language Models; including LLMs
2356	Beyond Outliers: A Study of Optimizers Under Quantization Authors: Georgios Vlassis; Saleh Ashkboos; Alexandra Volkova; Torsten Hoefler; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; Quantization; Optimizers; post-training quantization; quantization-aware training; including LLMs
2357	Beyond Pass@ 1: Self-Play with Variational Problem Synthesis Sustains RLVR Authors: Xiao Liang; Zhong-Zhi Li; Yeyun Gong; yelong shen; Ying Nian Wu; Zhijiang Guo; Weizhu Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning; Reinforcement Learning; Self-envolving; including LLMs
2358	Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection Authors: Chenwang Wu; Yiu-ming Cheung; Shuhai Zhang; Bo Han; Defu Lian Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Machine-generated Text Detection; Markov-aware Calibration; Raw Detection Score; including LLMs
2359	Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs Authors: Xiaoran Liu; Yuerong Song; Zhigeng Liu; Zengfeng Huang; Qipeng Guo; Zhaoxiang Liu; Shiguo Lian; Ziwei He; Xipeng Qiu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Long-Context LLM; Position Embedding; including LLMs
2360	Beyond Speedup - Utilizing KV Cache for Sampling and Reasoning Authors: Zeyu XING; Xing Li; Hui-Ling Zhen; Mingxuan Yuan; Sinno Jialin Pan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Machine Learning; LLM; including LLMs
2361	Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining Authors: Dongyang Fan; Diba Hashemi; Sai Praneeth Karimireddy; Martin Jaggi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM pretraining; efficient LLMs; metadata; including LLMs
2362	Boomerang Distillation Enables Zero-Shot Model Size Interpolation Authors: Sara Kangaslahti; Nihal V. Nayak; Jonathan Geuter; Marco Fumero; Francesco Locatello; David Alvarez-Melis Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: knowledge distillation; pretraining; adaptive compute; model interpolation; including LLMs
2363	Boosting Entropy with Bell Box Quantization Authors: Ningfeng Yang; Tor M. Aamodt Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Quantization; Quantization-Aware Training; Pre-Training; including LLMs
2364	Boosting Medical Visual Understanding From Multi-Granular Language Learning Authors: Zihan Li; Yiqing Wang; Sina Farsiu; Paul Kinahan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-Granular Language Learning; Medical Image Analysis; Multimodal Learning; including LLMs
2365	Boosting Multi-Domain Reasoning of LLMs via Curvature-Guided Policy Optimization Authors: Xize Liang; Lin Yang; Jie Wang; Rui Liu; Yang Lu; Jinliang Zeng; Hanzhu Chen; Dong Li; Jianye HAO Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; policy optimization; multi-domain reasoning; including LLMs
2366	Bradley-Terry and Multi-Objective Reward Modeling Are Complementary Authors: Zhiwei Zhang; Hui Liu; Xiaomin Li; Zhenwei Dai; Jingying Zeng; Fali Wang; Minhua Lin; Ramraj Chandradevan; Linlin Wu; Zhen Li; Chen Luo; Zongyu Wu; Xianfeng Tang; Qi He; Suhang Wa… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reward Models; including LLMs
2367	Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code Generation Authors: Lei Chen; Xuanle Zhao; Zhixiong Zeng; Jing Huang; Liming Zheng; Yufeng Zhong; Lin Ma Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Chart-to-Code Generation; Reinforcement Learning; including LLMs
2368	Bridging Draft Policy Misalignment: Group Tree Optimization for Speculative Decoding Authors: Shijing Hu; Jingyang Li; Zhihui Lu; Pan Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Speculative Decoding; Draft Tree Reward; Tree Optimization; including LLMs
2369	Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models Authors: Mengni Jia; Mengyu Zhou; Yihao Liu; xiaoxi jiang; guanjunjiang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion LLMs; Masked Diffusion Models; Training Variance; Training Stability; Mask Schedule; Mask Sampling; including LLMs
2370	ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer Authors: Chunyuan Deng; Sanket Lokegaonkar; Colin Lockard; Besnik Fetahu; Nasser Zalmout; Xian Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: byte-level language modeling; tokenization; including LLMs
2371	CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Vision-Language Model Authors: Ruijiang Dong; Zesheng Ye; Jianzhong Qi; Lei Feng; Feng Liu; Gang Niu; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Prompt Weighting; Prompt Ensembling; Pre-trained Models; Vision-Language Models; including LLMs
2372	CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models Authors: Runpeng Dai; Linfeng Song; Haolin Liu; Zhenwen Liang; Dian Yu; Haitao Mi; Zhaopeng Tu; Rui Liu; Tong Zheng; Hongtu Zhu; Dong Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language models; Reasoning; Exploration; including LLMs
2373	CLUE: Conflict-guided Localization for LLM Unlearning Framework Authors: Hang Chen; Jiaying Zhu; Xinyu Yang; Wenya Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM unlearning; circuit discovery; conjunctive normal form; interpretability; including LLMs
2374	COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics Authors: Kartik Sharma; Rakshit Trivedi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Steerable Generation; Large language models; Representation Engineering; Test-time Intervention; Learning Dynamics; including LLMs
2375	COMI: Coarse-to-fine Context Compression via Marginal Information Gain Authors: Jiwei Tang; Shilei Liu; Zhicheng Zhang; Yujin Yuan; Libin Zheng; Wenbo Su; Bo Zheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Long Context; including LLMs
2376	CONCUR: A Framework for Continual Constrained and Unconstrained Routing Authors: Peter Baile Chen; Weiyue Li; Dan Roth; Mike Cafarella; Samuel Madden; Jacob Andreas Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: model routing; continual routing; constrained routing; unconstrained routing; including LLMs
2377	CORE: Concept-Oriented Reinforcement for Bridging the Definition–Application Gap in Mathematical Reasoning Authors: Zijun Gao; Zhikun Xu; Xiao Ye; Ben Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; mathematical reasoning; conceptual understanding; fine-tuning; robustness; including LLMs
2378	CPQS-Tuning: A Model Self-Perception-Based Data Filtering Algorithm for Efficient Instruction Fine-Tuning Authors: Yi Ren; Yanhui Li; Tianyi Zhang; Diandong Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Instruction Fine-tuning; LLMs; Data Filtering; CPQS; Hidden States; including LLMs
2379	CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure Authors: Boao Kong; Junzhu Liang; Yuxi Liu; Renjia Deng; Kun Yuan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Parameter-efficient; LLMs pre-training; cross-layer low-rank; low-rank pre-training.; including LLMs
2380	CaTS: Calibrated Test-Time Scaling for Efficient LLM Reasoning Authors: Chengsong Huang; Langlin Huang; Jixuan Leng; Jiacheng Liu; Jiaxin Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Test-time Scaling; Model Calibration; Efficient inference; Language Modeling; Scaling; including LLMs
2381	Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs Authors: Ngoc Bui; Shubham Sharma; Simran Lamba; Saumitra Mishra; Rex Ying Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: KV cache; eviction; large language models; llm; long-context generation; including LLMs
2382	Cache-to-Cache: Direct Semantic Communication Between Large Language Models Authors: Tianyu Fu; Zihan Min; Hanling Zhang; Jichao Yan; Guohao Dai; Wanli Ouyang; Yu Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; multi-LLM; multi-agent; communication; including LLMs
2383	Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling Authors: Yongchang Hao; Lili Mou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language models; Speculative sampling; Auto-regressive generation; including LLMs
2384	Calibrating Verbalized Confidence with Self-Generated Distractors Authors: Victor Wang; Elias Stengel-Eskin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM uncertainty; confidence calibration; verbalized confidence; including LLMs
2385	Can Language Models Discover Scaling Laws? Authors: Haowei Lin; Haotian Ye; Wenzheng Feng; Quzhe Huang; Yujun Li; Hubert Lim; Zhengrui Li; Xiangyu Wang; Jianzhu Ma; Yitao Liang; James Zou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: scaling law; agent; LLM; including LLMs
2386	CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning Authors: Long Xing; Xiaoyi Dong; Yuhang Zang; Yuhang Cao; Jianze Liang; Qidong Huang; Jiaqi Wang; Feng Wu; Dahua Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Image Caption; Reinforcement learning; Large Vision Language Model; including LLMs
2387	Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts Authors: Shwai He; Weilin Cai; Jiayi Huang; Ang Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixture of Experts; Load Balancing; Computation Efficiency; including LLMs
2388	Cartridges: Lightweight and general-purpose long context representations via self-study Authors: Sabri Eyuboglu; Ryan Saul Ehrlich; Simran Arora; Neel Guha; Dylan Zinsley; Emily Ruoyu Liu; Atri Rudra; James Zou; Azalia Mirhoseini; Christopher Re Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: test-time training; self-distillation; including LLMs
2389	Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception Authors: Yuheng Shi; Xiaohuan Pei; Minjing Dong; Chang Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: MLLM; Self-Distillation; Fine-Grained Perception; including LLMs
2390	Cautious Optimizers: Improving Training with One Line of Code Authors: Kaizhao Liang; Lizhang Chen; Bo Liu; qiang liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Optimizer; AdamW; including LLMs
2391	CerebraGloss: Instruction-Tuning a Large Vision-Language Model for Fine-Grained Clinical EEG Interpretation Authors: Wei Gu; Luo Tianming; Qiran Zhang; Mohan Ye; Xiao Shen; Wenxin Chen; Yunhuan Li; Yichen Zhang; Jing Hong; Bao-liang Lu; Wei-Long Zheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large vision-language model; instruction-tuning; EEG; clinical; including LLMs
2392	ChainGPT: Dual-Reasoning Model with Recurrent Depth and Multi-Rank State Updates Authors: Yunao Zheng; Xiaojie Wang; Lei Ren; Chen Wei Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Latent Reasoning; Recurrent Depth; RWKV-Product; State-Guided Sparse Attention; including LLMs
2393	Channel-Aware Mixed-Precision Quantization for Efficient Long-Context Inference Authors: Chengxi Liao; Zeyi Wen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Long Context; Efficiency; including LLMs
2394	Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training Authors: Junkai Zhang; Zihao Wang; Lin Gui; Swarnashree Mysore Sathyendra; Jaehwan Jeong; Victor Veitch; Wei Wang; Yunzhong He; Bing Liu; Lifeng Jin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Post-training; Reinforcement Learning; Alignment; including LLMs
2395	Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models Authors: Zizhuo Zhang; Jianing Zhu; Xinmu Ge; Zihua Zhao; Zhanke Zhou; Xuan Li; Xiao Feng; Jiangchao Yao; Bo Han Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model reasoning; self-supervised RL; including LLMs
2396	CoDA: Agentic Systems for Collaborative Data Visualization Authors: Zichen Chen; Jiefeng Chen; Sercan O Arik; Misha Sra; Tomas Pfister; Jinsung Yoon Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; multi-agent system; visualization; including LLMs
2397	CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards Authors: Xiangyuan Xue; Yifan Zhou; Guibin Zhang; Zaibin Zhang; Yijiang Li; Chen Zhang; Zhenfei Yin; Philip Torr; Wanli Ouyang; LEI BAI Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM-based Agent; Multi-agent System; including LLMs
2398	CoMem: Compositional Concept-Graph Memory for Vision–Language Adaptation Authors: Heng Zhou; Jing Tang; Jusheng zhang; Yanshu Li; Canran Xiao; Liwei Hou; Zong Ke; Jiawei Yao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: VLM; Vision Language Learning; Continual Learning; including LLMs
2399	CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning Authors: Kehua Feng; Keyan Ding; Zhihui Zhu; Lei Liang; Qiang Zhang; Huajun Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Long CoT Distillation; Scientific Reasoning; Evolutionary Algorithm; including LLMs
2400	Code World Models for General Game Playing Authors: Wolfgang Lehrach; Daniel Hennes; Miguel Lazaro-Gredilla; Xinghua Lou; Carter Wendelken; Zun Li; Antoine Dedieu; Marc Lanctot; Atil Iscen; John Schultz; Marcus Chiam; Ian Gemp; Pio… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; code world models; code generation; information set MCTS; planning; partial observability; two-player games; imperfect information games…
2401	CodeQuant: Unified Clustering and Quantization for Enhanced Outlier Smoothing in Low-Precision Mixture-of-Experts Authors: Xiangyang Yin; Xingyu Liu; Tianhua Xia; BO BAO; Vithursan Thangarasa; Valavan Manohararajah; Eric Sather; Sai Qian Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixture-of-experts; quantization; including LLMs
2402	Comparing the learning dynamics of in-context learning and fine-tuning in language models Authors: Basile Confavreux; Aaditya K Singh; Jin Hwa Lee; Amaury Sabran; Andrew M Saxe Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: in-context learning; supervised fine-tuning; inductive biases; learning dynamics; including LLMs
2403	Composer: A Search Framework for Hybrid Neural Architecture Design Authors: Bilge Acun; Prasoon Sinha; Newsha Ardalani; Sangmin Bae; Alicia Golden; Meghana Madhyastha; Chien-Yu Lin; Fei Sun; Neeraja J. Yadwadkar; Carole-Jean Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Neural architecture search; hybrid models; efficient ML; including LLMs
2404	Compute-Optimal Quantization-Aware Training Authors: Aleksandr Dremov; David Grangier; Angelos Katharopoulos; Awni Hannun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: quantization-aware training; QAT; neural network quantization; compute optimization; scaling laws; large language models; LLMs; model compression; compute budg…
2405	Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss Authors: Yucheng Zhou; Hao Li; Jianbing Shen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Models; Autoregressive Language Models; Autoregressive Image Generation; including LLMs
2406	Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models Authors: Guanxu Chen; Yafu Li; Yuxian Jiang; Chen Qian; Qihan Ren; Yang JingYi; Yu Cheng; Dongrui Liu; Jing Shao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language models; reinforcement learning; including LLMs
2407	Constitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks Authors: Hoagy Cunningham; Jerry Wei; Zihan Wang; Andrew Persic; Alwin Peng; Jordan Abderrachid; Raj Agarwal; Bobby Chen; Andy Dau; Alek Dimitriev; Logan Howard; Yijin Hua; Rob Gilson; Mu… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: robustness; safeguards; including LLMs
2408	Contamination Detection for VLMs Using Multi‑Modal Semantic Perturbations Authors: Jaden Park; Mu Cai; Feng Yao; Jingbo Shang; Soochahn Lee; Yong Jae Lee Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Language Models; Data Contamination; including LLMs
2409	Context Tokens are Anchors: Understanding the Repeat Curse in dMLLMs from an Information Flow Perspective Authors: Qiyan Zhao; Xiaofeng Zhang; Shuochen Chang; Qianyu Chen; Xiaosong Yuan; Xuhang Chen; Luoqi Liu; Jiajun Zhang; Xu-Yao Zhang; Da-Han Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion Multimodal Large Language Models; Information flow; including LLMs
2410	ContextPRM: Leveraging Contextual Coherence for multi-domain Test-Time Scaling Authors: Haotian Zhang; Liu Liu; Baosheng Yu; Jiayan Qiu; Likang Xiao; Yanwei Ren; Quan Chen; Xianglong Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Process Reward Models; including LLMs
2411	Continuous Chain of Thought Enables Parallel Exploration and Reasoning Authors: Halil Alperen Gozeten; Muhammed Emrullah Ildiz; Xuechen Zhang; Hrayr Harutyunyan; Ankit Singh Rawat; Samet Oymak Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: chain-of-thought; latent space reasoning; parallel exploration; transformers; policy optimization; multi token sampling; including LLMs
2412	Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning Authors: Zhuoxu Huang; Mengxi Jia; Hao Sun; Xuelong Li; Jungong Han Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-Modal Reasoning; Reinforcement Learning from Verifiable Rewards; including LLMs
2413	Convex Dominance in Deep Learning I: A Scaling Law of Loss and Learning Rate Authors: Zhiqi Bu; Shiyun Xu; Jialin Mao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Convex optimization; Scaling law; Hyperparameter transfer; including LLMs
2414	Copy-Paste to Mitigate Large Language Model Hallucinations Authors: Yongchao Long; Yingying Zhang; Xianbin Wen; Xian Wu; Yuxi Zhou; Shenda Hong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Hallucination; Context Learning; Contextual Faithfulness; Knowledge Conflict; Model Interpretability; including LLMs
2415	CortiLife: A Unified Framework for Cortical Representation Learning across the Lifespan Authors: Pengcheng Xue; Dong Nie; Jie Luo; Daoqiang Zhang; Xuyun Wen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision-language Pretraining; Cortical surface modeling; Lifespan; including LLMs
2416	Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards Authors: Xuan Zhang; Ruixiao Li; Zhijian Zhou; Long Li; Yulei Qin; Ke Li; Xing Sun; Xiaoyu Tan; Chao Qu; Yuan Qi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; Natural Language Reasoning; including LLMs
2417	Counterfactual Reasoning for Retrieval-Augmented Generation Authors: Huaiyu Qin; Chunyu Wei; Yueguo Chen; Yunhai Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Large Language Models; Counterfactual Reasoning; including LLMs
2418	Critical attention scaling in long-context transformers Authors: Shi Chen; Zhengjiang Lin; Yury Polyanskiy; Philippe Rigollet Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; attention scaling; long-context length scaling; rank-collapse; phase transition; YaRN; Qwen; including LLMs
2419	Critic–Adviser–Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMs Authors: Chen Ning; Xien Liu; Chenwei Yan; Xiao Zhang; Xinxin You; Yuxuan Zhou; Xiangling Fu; Ji Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Synthetic Data Generation; Electronic Medical Record; including LLMs
2420	Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning Authors: Shubham Parashar; Shurui Gui; Xiner Li; Hongyi Ling; Sushil Vemuri; Blake Olson; Eric Li; Yu Zhang; James Caverlee; Dileep Kalathil; Shuiwang Ji Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Reinforcement Learning; Post Training; including LLMs
2421	CyclicReflex: Improving Reasoning Models via Cyclical Reflection Token Scheduling Authors: Chongyu Fan; Yihua Zhang; Jinghan Jia; Alfred O. Hero; Sijia Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; Reasoning; Testing time scaling; including LLMs
2422	D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI Authors: Suhwan Choi; Jaeyoon Jung; Haebin Seong; Minchan Kim; Minyeong Kim; Yongjun Cho; Yoonshik Kim; Park Yu Been; Youngjae Yu; Yunsung Lee Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: embodied ai; vision-language-action models; inverse dynamics models; including LLMs
2423	DAG-Math: Graph-of-Thought Guided Mathematical Reasoning in LLMs Authors: Yuanhe Zhang; Ilja Kuzborskij; Jason D. Lee; Chenlei Leng; Fanghui Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; mathematical reasoning; directed acyclic graphs; including LLMs
2424	DES-LOC: Desynced Low Communication Adaptive Optimizers for Foundation Models Authors: Alex Iacob; Lorenzo Sani; Mher Safaryan; Paris Giampouras; Samuel Horváth; Andrej Jovanovic; Meghdad Kurmanji; Preslav Aleksandrov; William F. Shen; Xinchi Qiu; Nicholas D. Lane Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Distributed Training; Foundation Models; Large Language Models; Optimizers; Communication Efficiency; Federated Learning; Distributed Systems; Optimization The…
2425	DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage Authors: Haowen Gao; zhenyu zhang; Liang Pang; Fangda Guo; douhongjian; Guannan Lv; ShaoGuo Liu; Tingting Gao; Huawei Shen; Xueqi Cheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: GRPO; Advantage Vanishing; Reward Sparsity; Multimodal LLM; Difficulty-Adaptive; including LLMs
2426	DMAP: A Distribution Map for Text Authors: Tom Kempton; Julia Rozanova; Parameswaran Kamalaruban; Maeve Madigan; Karolina Wresilo; Yoann Launay; David Sutton; Stuart Burrell Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Entropy; Statistical Text Analysis; Post-training; Supervised Fine-tuning; including LLMs
2427	DND: Boosting Large Language Models with Dynamic Nested Depth Authors: Tieyuan Chen; Xiaodong Chen; Haoxing Chen; Zhenzhong Lan; Weiyao Lin; Jianguo Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; including LLMs
2428	DP-Fusion: Token-Level Differentially Private Inference for Large Language Models Authors: Rushil Thareja; Preslav Nakov; Praneeth Vepakomma; Nils Lukas Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Privacy; Large Language Models; Document Privatization; including LLMs
2429	DPad: Efficient Diffusion Language Models with Suffix Dropout Authors: Xinhua Chen; Sitao Huang; Cong Guo; Chiyue Wei; Yintao He; Jianyi Zhang; Hai Helen Li; Yiran Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion-based Large Language Models; Model Optimization and Efficiency; Token Pruning; Model Explainability; including LLMs
2430	DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization Authors: Gang Li; Yan Chen; Ming Lin; Tianbao Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Reasoning Model; Efficient Reasoning; including LLMs
2431	DTP: Delta-Guided Two Stage Pruning for Mamba-based Multimodal Large Language Models Authors: Seong Yeol Park; Min Jung Kwon; XIANGHUA PIAO; Yeong Hyeon Gu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mamba; Multimodal Large Language Models; Token Pruning; Efficiency; Interpretability; including LLMs
2432	Data Provenance for Image Auto-Regressive Generation Authors: Bihe Zhao; Louis Kerner; Michel Meintz; Tameem Bakr; Franziska Boenisch; Adam Dziedzic Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: data provenance; image autoregressive models; including LLMs
2433	Data-Centric Lessons To Improve Speech-Language Pretraining Authors: Vishaal Udandarao; Zhiyun Lu; Xuankai Chang; Yongqiang Wang; Albin Madappally Jose; Fartash Faghri; Joshua P Gardner; Chung-Cheng Chiu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: data curation; speech language models; pretraining; synthetic data; including LLMs
2434	Death of the Novel(ty): Beyond N-Gram Novelty as a Metric for Textual Creativity Authors: Arkadiy Saakyan; Najoung Kim; Smaranda Muresan; Tuhin Chakrabarty Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: creativity; creative writing; evaluation; creativity evaluation; machine creativity; n-gram novelty; including LLMs
2435	Decoupling Positional and Symbolic Attention in Transformers Authors: Felipe Urrutia; Jorge Salas; Alexander Kozachinskiy; Cristian Buc Calderon; Hector Pasten; Cristobal Rojas Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Transformers architecture; positional encodings; Transformers theory; large language models; including LLMs
2436	DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning Authors: Ziwei Zheng; Michael Yang; Jack Hong; Chenxiao Zhao; Guohai Xu; Le Yang; Chao Shen; XingYu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Multimodal Reasoning; Reinforcement Learning; including LLMs
2437	DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Authors: Xinyan Guan; Jiali Zeng; Fandong Meng; Chunlei Xin; Yaojie Lu; Hongyu Lin; Xianpei Han; Le Sun; Jie Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: retrieval-augmented generation; adaptive retrieve; including LLMs
2438	DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Tree-based Search Authors: Fang Wu; Weihao Xuan; Heli Qi; Aaron Tu; Ximing Lu; Li Erran Li; Yejin Choi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: MCTS; RLVR; including LLMs
2439	DefensiveKV: Taming the Fragility of KV Cache Eviction in LLM Inference Authors: Yuan Feng; Haoyu Guo; Junlin Lv; S Kevin Zhou; Xike Xie Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient AI; Large Language Model; LLM Inference; including LLMs
2440	DiSRouter: Distributed Self-Routing for LLM Selections Authors: Hang Zheng; Hongshen Xu; Yongkai.lin; Shuai Fan; Lu Chen; Kai Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: query routing; model selection; distributed system; self-awareness of LLM; including LLMs
2441	DiaBlo: Diagonal Blocks Are Sufficient For Finetuning Authors: Selcuk Gurses; Aozhong Zhang; Yanxia Deng; Xun Dong; Xin Li; Naigang Wang; Penghang Yin; Zi Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Finetuning; Parameter-Efficient; LLM; Diagonal Block; including LLMs
2442	Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning Authors: Kai Xiong; Xiao Ding; Yixin Cao; Li Du; Jiahao Ying; Yang Zhao; Bing Qin; Ting Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Deficiency Diagnosis; Data Synthesis; LLMs Reasoning; including LLMs
2443	Differential Fine-Tuning Large Language Models Towards Better Diverse Reasoning Abilities Authors: Xiaosong Yuan; Chen Shen; Shaotian Yan; kaiyuan liu; Xiaofeng Zhang; Sinan Fan; Liang Xie; Wenxiao Wang; Renchu Guan; Ying Wang; Jieping Ye Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reasoning Abilities; Supervised Fine-Tuning; including LLMs
2444	DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Authors: Shansan Gong; Ruixiang ZHANG; Huangjie Zheng; Jiatao Gu; Navdeep Jaitly; Lingpeng Kong; Yizhe Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: text diffusion model; diffusion large language model; code generation; including LLMs
2445	Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing Authors: Xu Wang; Chenkai Xu; Yijie Jin; Jiachun Jin; Hao Zhang; Kai Yu; Zhijie Deng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion Large Language Models; Discrete Diffusion Models; Inference Acceleration; KV Cache; AR-Diffusion Hybrid; including LLMs
2446	DirMoE: Dirichlet-Routed Mixture of Experts Authors: Amirhossein Vahidi; Hesam Asadollahzadeh; Navid Akhavan Attar; Marie Moullet; Kevin Ly; Xingyi Yang; Mohammad Lotfollahi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: MoE; Mixture of experts; sparsity; intrepretability; including LLMs
2447	Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement Authors: Yuxiao Lu; Lin Xu; Yang Sun; Wenjun Li; Jie Shi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; LLM Safety; Over-refusal; Safety Alignment; including LLMs
2448	Discovering Novel LLM Experts via Task-Capability Coevolution Authors: Andrew Dai; Boris Meinardus; Ciaran Regan; Yingtao Tian; Yujin Tang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; LLMs; Minimal Criterion Coevolution; Evolutionary Model Merging; Synthetic Data; Quality-Diversity; Open-endedness; including LLMs
2449	Discrete Latent Features Ablate Adversarial Attack: A Robust Prompt Tuning Framework for VLMs Authors: Yang Chen; Yanbin Wei; James Kwok; Yu Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Prompt Learning; Adversarial Robustness; Vision-Language Models; including LLMs
2450	Disentangling Knowledge Representations for Large Language Model Editing Authors: Mengqi Zhang; Zisheng Zhou; Xiaotian Ye; Qiang Liu; Zhaochun Ren; Zhumin Chen; Pengjie Ren Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language models; Knowledge editing; including LLMs
2451	Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling Authors: Sachin Goyal; David Lopez-Paz; Kartik Ahuja Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Pretraining; including LLMs
2452	Distilling to Hybrid Attention Models via KL-Guided Layer Selection Authors: Yanhong Li; Songlin Yang; Shawn Tan; Mayank Mishra; Rameswar Panda; Jiawei Zhou; Yoon Kim Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Linear attention; Hybrid architectures; Distillation; Layer selection; Inference efficiency; including LLMs
2453	Distribution-Aware Multi-Granularity Phase Coding: Towards Lower Conversion Error for Spike-Driven Large Language Models Authors: Hanyuan Zheng; Haozhen Zhang; Tianshuo Chen; Zhaogeng Liu; Yi Chang; Bin Gu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Spiking Neural Network; Optimization; including LLMs
2454	Diversity-Incentivized Exploration for Versatile Reasoning Authors: Zican Hu; Shilin Zhang; Yafu Li; Jianhao Yan; Xuyang Hu; Leyang Cui; Xiaoye Qu; Chunlin Chen; Yu Cheng; Zhi Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM reasoning; Reinforcement learning with verifiable rewards; efficient exploration; diversity; including LLMs
2455	Do Large Language Models Know What They Are Capable Of? Authors: Casey O. Barkan; Sidney Black; Oliver Sourbut Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Calibration; Decision Making; Overconfidence; In-context learning; LLM Agents; LLM self-knowledge; AI Safety; including LLMs
2456	Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs Authors: Zhihe Yang; Xufang Luo; Zilong Wang; Dongqi Han; Zhiyuan He; Dongsheng Li; Yunjian Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Large Language Models; Generative Models; Post Training; Chain of Thought; including LLMs
2457	DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems Authors: Ming Ma; Jue Zhang; Fangkai Yang; Yu Kang; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM-based agent systems; failure analysis; intervention; including LLMs
2458	Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning Authors: Yunghwei Lai; Kaiming Liu; Ziyue Wang; Weizhi Ma; Yang Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Doctor Agent; Clinical Inquiry; Agentic Reinforcement Learning; including LLMs
2459	Don't Just Fine-tune the Agent, Tune the Environment Authors: Siyuan Lu; Zechuan Wang; Hongxuan Zhang; Qintong Wu; Leilei Gan; Chenyi Zhuang; Jinjie Gu; Tao Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; LLM Agents; Tool Learning; Multi-turn tool use; Reinforcement Learning; including LLMs
2460	Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language Models Authors: Zemin Huang; Yuhang Wang; Zhiyang Chen; Guo-Jun Qi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: diffusion language model; discrete diffusion; masked diffusion model; language model; including LLMs
2461	Don't Throw Away Your Pretrained Model Authors: Shangbin Feng; Wenhao Yu; Yike Wang; Hongming Zhang; Yulia Tsvetkov; Dong Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: model collaboration; collaborative inference; including LLMs
2462	Don’t Pass@k: A Bayesian Framework for Large Language Model Evaluation Authors: Mohsen Hariri; Amirhossein Samandar; Michael Hinczewski; Vipin Chaudhary Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Evaluation Metrics; Bayesian Methods; Uncertainty Quantification; Model Ranking; Reasoning; Statistical Significance; including LLMs
2463	Dr.LLM: Dynamic Layer Routing in LLMs Authors: Ahmed Heakl; Martin Gubri; Salman Khan; Sangdoo Yun; Seong Joon Oh Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Efficient Inference; Adaptive Computation; Test-time Optimization; Monte Carlo Tree Search; Dynamic Layer Routing; including LLMs
2464	DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations Authors: Chao-Hong Tan; Qian Chen; Wen Wang; Chong Deng; Qinglin Zhang; Luyao Cheng; Hai Yu; Xin Zhang; Xiang Lyu; Tianyu Zhao; Chong Zhang; Yukun Ma; Yafeng Chen; Hui Wang; Jiaqing Liu; X… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: voice conversation model; parallel speech-text; end-to-end; dual-resolution; including LLMs
2465	Draft-based Approximate Inference for LLMs Authors: Kevin Galim; Ethan Ewer; Wonjun Kang; Minjae Lee; Hyung Il Koo; Kangwook Lee Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: long-context; sparse attention; KV cache eviction; prompt compression; including LLMs
2466	DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas Authors: Zirui Wu; Lin Zheng; Zhihui Xie; Jiacheng Ye; Jiahui Gao; Shansan Gong; Yansong Feng; Zhenguo Li; Wei Bi; Guorui Zhou; Lingpeng Kong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion Language Models; including LLMs
2467	DreamPhase: Offline Imagination and Uncertainty-Guided Planning for Large-Language-Model Agents Authors: Shayan Mohajer Hamidi; Linfeng Ye; Konstantinos N. Plataniotis Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Autonomous Agents; including LLMs
2468	DuPO: Enabling Reliable Self-Verification via Dual Preference Optimization Authors: Shuaijie She; Yu Bao; Yu Lu; Lu Xu; Tao Li; Wenhao Zhu; Jianbing Zhang; Shujian Huang; Shanbo Cheng; Lu Lu; Yuxuan Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Self-Verification; Dual Learning; Preference Optimization; Large Language Model; including LLMs
2469	Dual-objective Language Models: Training Efficiency Without Overfitting Authors: David Samuel; Lucas Georges Gabriel Charpentier Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language model; pretraining; training objective; mixed training objective; masked diffusion; including LLMs
2470	Dynamic Chunking for End-to-End Hierarchical Sequence Modeling Authors: Sukjun Hwang; Brandon Wang; Albert Gu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: deep learning; architecture; tokenization; including LLMs
2471	Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM Authors: Tianyi Wu; Xiaoxi Sun; Yanhua Jiao; Yulin Li; Yixin Chen; Yun-Hao Cao; Yi-Qi Hu; Zhuotao Tian Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: dLLMs; Inference Acceleration; including LLMs
2472	DynamicInfer: Runtime-Aware Sparse Offloading for LLMs Inference on a Consumer-Grade GPU Authors: Zhui Zhu; Weichen Zhang; Zhenghan Zhou; Yunhao Liu; Fan Dang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Artificial Intelligence; Offloading; LLM inference; including LLMs
2473	Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models Authors: Yixiu Mao; Yun Qu; Cheems Wang; Heming Zou; Xiangyang Ji Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large reasoning model; reinforcement learning finetuning; including LLMs
2474	EAMET: ROBUST MASSIVE MODEL EDITING VIA EMBEDDING ALIGNMENT OPTIMIZATION Authors: Yanbo Dai; Zhenlan Ji; Zongjie Li; Shuai Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Model Editing; Massive Editing; Large Language Models; including LLMs
2475	EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget Authors: Liang Chen; Xueting Han; Qizhou Wang; Bo Han; Jing Bai; Hinrich Schuetze; Kam-Fai Wong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; reasoning models; reinforcement learning; RLVR; exploration; unlearning; including LLMs
2476	ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping Authors: Zijian Zhu; Fei Ren; Zhanhong Tan; Kaisheng Ma Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion Large Language Model; Inference Acceleration; KV Caching; including LLMs
2477	Echoes as Anchors: Probabilistic Costs and Attention Refocusing in LLM Reasoning Authors: Zhuoyuan Hao; Zhuo Li; Wu Li; Fangming Liu; Min Zhang; Jing Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LRM; reasoning; finetuning; including LLMs
2478	Efficient Agent Training for Computer Use Authors: Yanheng He; Jiahe Jin; Pengfei Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Agents; Computer Use; Large Language Models; Vision Language Models; including LLMs
2479	Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking Authors: Mitchell Keren Taraday; Shahaf Wagner; Chaim Baskin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Retrieval; Vision–Language Models; Joint Encoding; Efficient Re-ranking; Token Compression; including LLMs
2480	Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits Authors: Donghao Li; Chengshuai Shi; Weijuan Ou; Cong Shen; Jing Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-objective prompt optimization; multi-objective bandits; best feasible arm identification; fixed-budget pure exploration; including LLMs
2481	Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees Authors: Mohammed Nowaz Rabbani Chowdhury; Kaoutar El Maghraoui; Hsinyu Tsai; Naigang Wang; Geoffrey W. Burr; Liu Liu; Meng Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixture-of-Experts; Quantization; Theoretical Generalization Guarantees; including LLMs
2482	Efficient Reasoning with Balanced Thinking Authors: Yulin Li; Tengyao Tu; Li Ding; Junjie Wang; Hui-Ling Zhen; Yixin Chen; Yong Li; Zhuotao Tian Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Reasoning Models; Efficient Reasoning; including LLMs
2483	Eliciting Numerical Predictive Distributions of LLMs Without Auto-Regression Authors: Julianna Piskorz; Kasia Kobalczyk; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: mechanistic interpretability; uncertainty estimation; LLMs; time series; probing; including LLMs
2484	Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning Authors: Haozhe Wang; Qixin Xu; Che Liu; Junhong Wu; Fangzhen Lin; Wenhu Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: hierarchical reasoning; LLM; reinforcement learning; including LLMs
2485	Empowering LLM Tool Invocation with Tool-call Reward Model Authors: Da Ma; Ziyue Yang; Hongshen Xu; Haotian Fang; Kai Yu; Lu Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; Tool invocation; Tool-call reward model; including LLMs
2486	Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection Authors: Minjae Kang; Jaehyung Kim Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; LLM Steering; Instruction following; Activation engineering; including LLMs
2487	Enhancing Language Model Reasoning with Structured Multi-Level Modeling Authors: Siheng Xiong; Ali Payani; Faramarz Fekri Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Chain-of-Thought reasoning; Direct Preference Optimization; Process supervision; Twisted Sequential Monte Carlo; Large language models; including LLMs
2488	Enhancing Multi-Image Understanding through Delimiter Token Scaling Authors: Minyoung Lee; Yeji Park; Dongjun Hwang; Yejin Kim; Seong Joon Oh; Junsuk Choe Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LVLM; Multi-Image Understanding; Training-free; including LLMs
2489	Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs Authors: Zixuan Ren; Jinliang Lu; Junhong Wu; Yang Zhao; Dai Dai; Hua Wu; Haifeng Wang; Chengqing Zong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; Reinforcement learning; Model merging; including LLMs
2490	Entropy-Based Block Pruning for Efficient Large Language Models Authors: Liangwei Yang; Yuhui Xu; Juntao Tan; Doyen Sahoo; silvio savarese; Caiming Xiong; Huan Wang; Shelby Heinecke Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Efficiency; including LLMs
2491	EntropyLong: Effective Long-Context Training via Predictive Uncertainty Authors: Junlong Jia; Ziyang Chen; Xing W; Chaochen Gao; Zijia Lin; Songlin Hu; GuoBinghui Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Longcontext; including LLMs
2492	Equilibrium Language Models Authors: Yikun Jiang; Huanyu Wang; Tianhong Ding; Wenhu Zhang; Yiming Wu; Hanbin Zhao; John C.S. Lui Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Model Compression; On-Device Inference; Fixed-Point Network; including LLMs
2493	Escaping Policy Contraction: Contraction-Aware PPO (CaPPO) for Stable Language Model Fine-Tuning Authors: Dun Yuan; Di Wu; Xue Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Policy Contraction; Proximal Policy Optimization; Large Language Models; including LLMs
2494	Evidence for Limited Metacognition in LLMs Authors: Christopher Ackerman Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Metacognition; Evaluations; AI Safety; Self-Awareness; Consciousness; Model Welfare; including LLMs
2495	EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems Authors: Yufei He; Juncheng Liu; Yue Liu; Yibo Li; Tri Cao; Zhiyuan Hu; Xinxing Xu; Bryan Hooi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Agents; Test Time Learning; including LLMs
2496	ExGRPO: Learning to Reason from Experience Authors: Runzhe Zhan; Yafu Li; Zhi Wang; Xiaoye Qu; Dongrui Liu; Jing Shao; Derek F. Wong; Yu Cheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Large Reasoning Model; Reinforcement Learning with Verifiable Rewards; including LLMs
2497	Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code Authors: Aniket Vashishtha; Qirun Dai; Hongyuan Mei; Amit Sharma; Chenhao Tan; Hao Peng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Counterfactual Reasoning; Large Language Models; Reinforcement Learning; Generalization; including LLMs
2498	Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns Authors: Xuemiao Zhang; Can Ren; Chengying Tu; Rongxiang Weng; Shuo Wang; Hongfei Yan; Jingang Wang; Xunliang Cai Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; reasoning potential; long chain of thought; reasoning pattern; challenging mathematical reasoning; including LLMs
2499	Expert Divergence Learning for MoE-based Language Models Authors: Jiaang Li; Haibin Chen; Langming Liu; Yujin Yuan; Yadao Wang; Yizhen Zhang; Chengting Yu; Xin Tong; Weidong Zhang; Shilei Liu; Wenbo Su; Bo Zheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixture of Experts; Large Language Model; Pretraining; including LLMs
2500	Expert Merging in Sparse Mixture of Experts with Nash Bargaining Authors: Dung Viet Nguyen; Anh Nguyen Thi; Minh Hoang Nguyen; Luc Nguyen; Shiqi Jiang; Ethan Fetaya; Linh Duy Tran; Gal Chechik; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixture of Experts; Game Theory; including LLMs
2501	Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward Authors: Peter Chen; Xiaopeng Li; Ziniu Li; Wotao Yin; Xi Chen; Tianyi Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning with Verifiable Rewards; Group Relative Policy Optimization; LLM Reasoning; including LLMs
2502	Explore-on-Graph: Incentivizing Autonomous Exploration of Large Language Models on Knowledge Graphs with Path-refined Reward Modeling Authors: Shiqi Yan; Yubo Chen; Ruiqi Zhou; Zhengxi Yao; Shuai Chen; Tianyi Zhang; Shijie Zhang; Wei-Qiang Zhang; Yongfeng Huang; Haixin Duan; Yunqi Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Knowledge Graph; Large Language Models; Knowledge-enhanced reasoning; reinforcement learning; including LLMs
2503	Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs Authors: Ruihan Jin; Pengpeng Shao; Zhengqi Wen; Jinyang Wu; Mingkuan Feng; Shuoyang; Chu Yuan Zhang; Jianhua Tao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: knowledge distillation; large language model; LLM routing; including LLMs
2504	Exploring the Potential of Encoder-free Architectures in 3D LMMs Authors: Yiwen Tang; Ziyu Guo; Zhuhao Wang; Renrui Zhang; Qizhi Chen; Junli Liu; Delin Qu; Dong Wang; Bin Zhao; Xuelong Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-modal Large Language Model; 3D Understanding; Large Language Model; including LLMs
2505	Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding Authors: Yoav Gelberg; Koshi Eguchi; Takuya Akiba; Edoardo Cetin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LMs; Long Context; Positional Embeddings; Architecture; including LLMs
2506	FASA: FREQUENCY-AWARE SPARSE ATTENTION Authors: Yifei Wang; Yueqi Wang; Zhenrui Yue; Huimin Zeng; Yong Wang; Ismini Lourentzou; Zhengzhong Tu; Xiangxiang Chu; Julian McAuley Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Functional sparsity of FC; KV cache; including LLMs
2507	FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment Authors: Chuiyang Meng; Ming Tang; Vincent W.S. Wong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Federated fine-tuning; low-rank Gram matrix; Procrustes alignment; including LLMs
2508	FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning Authors: Haozheng Luo; Zhuolin Jiang; Md Zahid Hasan; Yan Chen; Soumalya Sarkar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient Reasoning; Attention Outlier; Reasoning; including LLMs
2509	FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel Authors: Ran Yan; Youhe Jiang; Zhuoming Chen; Haohui Mai; Beidi Chen; Binhang Yuan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient attention; GPUs; Long context LLMs; Sparse attention; including LLMs
2510	FSPO: Few-Shot Optimization of Synthetic Preferences Effectively Personalizes to Real Users Authors: Anikait Singh; Sheryl Hsu; Kyle Hsu; Eric Mitchell; Stefano Ermon; Tatsunori Hashimoto; Archit Sharma; Chelsea Finn Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Personalization; Synthetic Data; Meta-Learning; Preference Optimization; including LLMs
2511	FZOO: Fast Zeroth-Order Optimizer for Fine‑Tuning Large Language Models towards Adam‑Scale Speed Authors: Sizhe Dang; yangyangGuo; Yanjun Zhao; Xiaodong Zheng; Guang Dai; Ivor Tsang; Haishan Ye Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Zeroth‑order optimization; Large language models; Fine‑tuning; Adaptive step size; Batch gradient estimation; Memory efficiency; including LLMs
2512	FakeXplain: AI-Generated Image Detection via Human-Aligned Grounded Reasoning Authors: Yikun Ji; Yan Hong; Qi Fan; jun lan; Huijia Zhu; Weiqiang Wang; Liqing Zhang; Jianfu Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Language Models; Image Forensics; AIGC Detection; including LLMs
2513	Fast Data Mixture Optimization via Gradient Descent Authors: Haoru Tan; Sitong Wu; Yanfeng Chen; Jun Xia; Ruobing Xie; Bin Xia; Xingwu Sun; Xiaojuan Qi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large models; Data-centric AI; AutoML; including LLMs
2514	Fast-dLLM v2: Efficient Block-Diffusion LLM Authors: Chengyue Wu; Hao Zhang; Shuchen Xue; Shizhe Diao; Yonggan Fu; Zhijian Liu; Pavlo Molchanov; Ping Luo; Song Han; Enze Xie Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion LLM; Efficient AI; including LLMs
2515	Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding Authors: Chengyue Wu; Hao Zhang; Shuchen Xue; Zhijian Liu; Shizhe Diao; Ligeng Zhu; Ping Luo; Song Han; Enze Xie Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion LLM; efficiency; including LLMs
2516	FastGRPO: Accelerating Policy Optimization via Concurrency-aware Speculative Decoding and Online Draft Learning Authors: Yizhou Zhang; Ning Lv; Teng Wang; Jisheng Dang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; group relative policy optimization; speculative decoding; acceleration; including LLMs
2517	FictionalQA: A Dataset for Studying Memorization and Knowledge Acquisition Authors: John Kirchenbauer; Natjanan Mongkolsupawan; Yuxin Wen; Tom Goldstein; Daphne Ippolito Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; memorization; knowledge acquisition; datasets; including LLMs
2518	Fine-Grained Activation Steering: Steering Less, Achieving More Authors: Zijian Feng; Tianjiao Li; Zixiao Zhu; Hanzhang Zhou; Junlang Qian; Li Zhang; Chua Jia Jim Deryl; Mak Lee Onn; Gee Wah Ng; Kezhi Mao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Activation Steering; Large Language Models; Fine-Grained Intervention; including LLMs
2519	Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning Authors: Hulingxiao He; Zijun Geng; Yuxin Peng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Fine-Grained Visual Recognition; Reinforcement Learning; including LLMs
2520	Fine-tuning Quantized Neural Networks with Zeroth-order Optimization Authors: Sifeng SHANG; JIAYI ZHOU; Chenyu Lin; Minxian Li; Kaiyang Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Memory-efficient Training; Zeroth-order Optimization; Quantization; including LLMs
2521	Flatter Tokens are More Valuable for Speculative Draft Model Training Authors: Jiaming Fan; CAO DAMING; Xiangzhong Luo; Jiale Fu; Chonghan Liu; Xu Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Speculative Decoding; Efficient Training; including LLMs
2522	FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation Authors: Muqing Liu; Chongjie Si; Yuheng Jia Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: PEFT; Dynamic Rank; LoRA; including LLMs
2523	Flipping the Dialogue: Training and Evaluating User Language Models Authors: Tarek Naous; Philippe Laban; Wei Xu; Jennifer Neville Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: User Language Models; User Simulation; Interactive Evaluation; Post-Training; including LLMs
2524	Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets Authors: Bo Xue; Yunchong Song; Fanghao Shao; Xuekai Zhu; Lin Chen; Luoyi Fu; Xinbing Wang; Zhouhan Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: generative flow networks; language models; including LLMs
2525	FlowNIB: An Information Bottleneck Analysis of Bidirectional vs. Unidirectional Language Models Authors: Md Kowsher; Nusrat Jahan Prottasha; Shiyun Xu; Shetu Mohanto; Niloofar Yousefi; Ozlem Garibay; Chen Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Bidirectional Language Models; Information Bottleneck; Mutual Information; FlowNIB; Layer-wise Analysis; Context Understanding; Natural Language Understanding;…
2526	Fluent Alignment with Disfluent Judges: Post-training for lower-resource languages Authors: David Samuel; Lilja Øvrelid; Erik Velldal; Andrey Kutuzov Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language model; post-training; fluency; low-resource languages; RLAIF; including LLMs
2527	FoNE: Precise Single-Token Number Embeddings via Fourier Features Authors: Tianyi Zhou; Deqing Fu; Mahdi Soltanolkotabi; Robin Jia; Vatsal Sharan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; Arithmetic; Embedding; Numbers; including LLMs
2528	Following the Navigation: Enhancing Small Language Models Contextual Reasoning with LLM Guidance Authors: Xiaoqi Ni; Jie Wang; Lin Yang; Yiyang Lu; Hanzhu Chen; Rui Liu; Jianye HAO Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Contextual Reasoning; Collaborative Inference; including LLMs
2529	Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains Authors: Austin Xu; Xuan-Phi Nguyen; Yilun Zhou; Chien-Sheng Wu; Caiming Xiong; Shafiq Joty Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Automatic evaluation; LLM-as-judge; multi-task evaluators; step-level evaluation; verifers; including LLMs
2530	FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting Authors: Zefeng He; Xiaoye Qu; Yafu Li; Siyuan Huang; Daizong Liu; Yu Cheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LVLMs; Video Reasoning; Reinforcement Learning; including LLMs
2531	Free Energy Mixer Authors: Jiecheng Lu; Shihao Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Sequence Modeling; Attention; Transformer; including LLMs
2532	FreqKV: Key-Value Compression in Frequency Domain for Context Window Extension Authors: Jushi Kai; Yixuan Wang; Boyi Zeng; Haoli Bai; Bo Jiang; Ziwei He; Zhouhan Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; KV Compression; Context Extension; including LLMs
2533	Frequency Bands in RoPE: Base Frequency and Context Length Shape the Interpolation–Extrapolation Trade-off Authors: Yui Oka; Itsumi Saito; Kyosuke Nishida; Kuniko Saito Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Rotary Position Embedding; Position Interpolation; Extrapolation; Large Language Model; including LLMs
2534	From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation Authors: Han Song; Yucheng Zhou; Jianbing Shen; Yu Cheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Models; Autoregressive Image Generation; Chain-of-Thought; including LLMs
2535	From Collapse to Control: Understanding and Extending Context Length in Emerging Hybrid Models via Universal Position Interpolation Authors: Haochen Shen; Davis Wertheimer; Zheng Wang; Garrett Goon; Derrick Liu; Naigang Wang; Mudhakar Srivatsa; Raghu K. Ganti; Minjia Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Hybrid Models; Mamba; Transformer; Long Context; including LLMs
2536	From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning Authors: Ruilin Luo; Chufan Shi; Yizhen Zhang; Cheng Yang; Songtao Jiang; Tongkun Guan; Ruizhe Chen; Ruihang Chu; Peng Wang; Mingkun Yang; Lei Wang; Yujiu Yang; Junyang Lin; Zhibo Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal reasoning; Multimodal RL; Multimodal Large Language Model; Attention Analysis; including LLMs
2537	From Pixels to Words – Towards Native Vision-Language Primitives at Scale Authors: Haiwen Diao; Mingxuan Li; Silei Wu; Linjun Dai; Xiaohua Wang; Hanming Deng; Lewei Lu; Dahua Lin; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Native Vision-Language Models; Vision-Language Primitive; Holistic Vision-Language Buffer; including LLMs
2538	From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training Authors: Tianqiao Liu; Xueyi Li; Hao Wang; Haoxuan Li; Zhichao Chen; Weiqi Luo; Zitao Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Multimodal Models; Multi-token Prediction; Non-Autoregressive Learning; including LLMs
2539	From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones Authors: Lifan Yuan; Weize Chen; Yuchen Zhang; Ganqu Cui; Hanbin Wang; Ziming You; Ning Ding; Zhiyuan Liu; Maosong Sun; Hao Peng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Large Language Model; Reasoning; Exploration; including LLMs
2540	Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data Authors: Syeda Nahida Akter; Shrimai Prabhumoye; Eric Nyberg; Mostofa Patwary; Mohammad Shoeybi; Yejin Choi; Bryan Catanzaro Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Pretraining; Supervised Finetuning; Reasoning; LLM; including LLMs
2541	FrugalRAG: Less is More in RL Finetuning for Multi-hop Question Answering Authors: Abhinav Java; Srivathsan Koundinyan; Nagarajan Natarajan; Amit Sharma Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-Hop RAG; Efficiency; Reasoning; SLMs; including LLMs
2542	GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving Authors: Ruida WANG; Jiarui Yao; Rui Pan; Shizhe Diao; Tong Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Lean4; Reinforcement Learning; LLM; including LLMs
2543	GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models Authors: Rosen Ting-Ying Yu; Cyril Picard; Faez Ahmed Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Tabular Foundation Models; Bayesian optimization; TabPFN; including LLMs
2544	GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning Authors: Xiangxiang Chu; Hailang Huang; Xiao Zhang; Fei Wei; Yong Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Model Reasoning; Multimodal Model; including LLMs
2545	GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching Authors: Guinan Su; Li Shen; Lu Yin; Shiwei Liu; Yanwu Yang; Jonas Geiping Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language models; model pruning; including LLMs
2546	GTool: Graph Enhanced Tool Planning with Large Language Model Authors: Wenjie Chen; Di Yao; Wenbin Li; Xuying Meng; Chang Gong; Jingping Bi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Tool Learning; Large Language Model; Graph Data Mining; including LLMs
2547	GeneBreaker: Jailbreak Attacks against DNA Language Models with Pathogenicity Guidance Authors: ZAIXI ZHANG; Zhenghong Zhou; Ruofan Jin; Le Cong; Mengdi Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Safety; including LLMs
2548	Generalizable End-to-End Tool-Use RL with Synthetic CodeGym Authors: Weihua Du; Hailei Gong; Zhan Ling; Kang Liu; Lingfeng Shen; Xuesong Yao; Yufei Xu; Dingyuan Shi; Yiming Yang; Jiecao Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Agent; Reinforcement Learning; Data Synthesis; Generalizability; including LLMs
2549	Generalization of RLVR Using Causal Reasoning as a Testbed Authors: Brian Lu; Hongyu Zhao; Shuo Sun; Hao Peng; Rui Ding; Hongyuan Mei Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning with Verifiable Rewards; Generalization; Causal Reasoning; including LLMs
2550	Generalized Parallel Scaling with Interdependent Generations Authors: Harry Dong; David Brandfonbrener; Eryk Helenowski; Yun He; Mrinal Kumar; Han Fang; Yuejie Chi; Karthik Abinav Sankararaman Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; inference; scaling; reasoning; reinforcement learning; post-training; attention; tensors; including LLMs
2551	Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning Authors: Qihao Liu; Luoxin Ye; Wufei Ma; Yu-Cheng Chou; Alan Yuille Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language models; Reinforcement learning; Adversarial training; including LLMs
2552	Getting Your LLMs Ready for Reinforcement Learning with Lightweight SFT Authors: Xinran Li; Guangda Huzhang; Siqi Shen; Qing-Guo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; Jun Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; SFT; Post-train; including LLMs
2553	Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction Authors: Yong Lin; Shange Tang; Bohan Lyu; Ziran Yang; Jui-Hui Chung; Haoyu Zhao; Lai Jiang; Yihan Geng; Jiawei Ge; Jingruo Sun; Jiayun Wu; Jiri Gesi; Ximing Lu; David Acuna; Kaiyu Yang; H… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Theorem Proving; Reasoning; including LLMs
2554	GranViT: A Fine-Grained Vision Model For Autoregressive Multimodal Large Language Models Authors: Guanghao Zheng; Bowen Shi; Mingxing Xu; Ruoyu Sun; Peisen Zhao; ZhiboZhang; Wenrui Dai; Junni Zou; Hongkai Xiong; XIAOPENG ZHANG; Qi Tian Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Encoder; Multimodal Large Language Model; Fine-Grain Perception; including LLMs
2555	Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation Authors: Yehjin Shin; Seojin Kim; Noseong Park Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: State Space Model; Mamba; Graph Signal Processing; Adaptive Filter Bank; including LLMs
2556	Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration Authors: Sukwon Yun; Jie Peng; Pingzhi Li; Wendong Fan; Jie Chen; James Zou; Guohao Li; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Collaboration; Multi-Agent LLM; including LLMs
2557	Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs Authors: Haochen Wang; Yuhao Wang; Tao Zhang; Yikang Zhou; Yanwei Li; Jiacong Wang; Jiani zheng; Ye Tian; Jiahao Meng; Zilong Huang; Guangcan Mai; Anran Wang; Yunhai Tong; Zhuochen Wang; X… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: image caption; benchmark; region understanding; including LLMs
2558	Ground Slow, Move Fast: A Dual-System Foundation Model for Generalizable Vision-Language Navigation Authors: Meng Wei; Chenyang Wan; Jiaqi Peng; Xiqian Yu; Yuqiang Yang; Delin Feng; Wenzhe Cai; Chenming Zhu; Tai Wang; Jiangmiao Pang; Xihui Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: navigation foundation models; Vision-and-Language Navigation; including LLMs
2559	Group Verification-based Policy Optimization for Interactive Coding Agents Authors: Silong Dai; Changzhi Sun; Haolun Wu; Huanran Zheng; Tao Ji; Junchi Yan; Yuanbin Wu; Dell Zhang; Xiaoling Wang; Xuelong Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; Tool Learning; Reinforcement Learning; including LLMs
2560	Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends Authors: Chaorui Yao; Yanxi Chen; Yuchang Sun; Yushuo Chen; Wenhao Zhang; Xuchen Pan; Yaliang Li; Bolin Ding Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; LLM Post-Training; Off-Policy RL; GRPO; including LLMs
2561	Guided Speculative Inference for Efficient Test-Time Alignment of LLMs Authors: Jonathan Geuter; Youssef Mroueh; David Alvarez-Melis Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Test-Time Scaling; LLMs; Large Language Models; Speculative Decoding; Inference; Inference-Time Scaling; Best-of-n; Soft Best-of-n; PRM; Reward Models; Reward…
2562	HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature Authors: Devvrat Joshi; Islem Rekik Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Knowledge Graphs; Representation Learning; Graph Neural Networks; Geometric Deep Learning; Scientific Text Mining; including LLMs
2563	HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs Authors: Xinyue Zeng; Junhong Lin; Yujun Yan; Feng Guo; Liang Shi; Jun Wu; Dawei Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Hallucination Detection; including LLMs
2564	Hallucination-aware Intermediate Representation Edit in Large Vision-Language Models Authors: Wei Suo; Hanzu Zhang; Lijun Zhang; Ji Ma; PENG WANG; Yanning Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: mitigating hallucination; feature editing; LVLMs; including LLMs
2565	Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation Authors: Yanqi Dai; Yuxiang Ji; Xiao Zhang; Yong Wang; Xiangxiang Chu; Zhiwu Lu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mathematical Reasoning; Group Relative Policy Optimization; Question Reformulation; including LLMs
2566	Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving Authors: Chang Su; Zhongkai Hao; Zhizhou Zhang; Zeyu Xia; Youjia Wu; Hang Su; Jun Zhu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; Evolution Strategies; Scientific Discovery; including LLMs
2567	Helmsman: Autonomous Synthesis of Federated Learning Systems via Collaborative LLM Agents Authors: Haoyuan Li; Mathias Funk; Aaqib Saeed Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-agent System; Federated Learning; LLM-based Agent; including LLMs
2568	HiDrop: Hierarchical Vision Token Reduction in MLLMs via Late Injection, Concave Pyramid Pruning, and Early Exit Authors: Hao Wu; Yingqi Fan; Dai Jinyang; Junlong Tong; Yunpu Ma; Xiaoyu Shen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: MLLMs; Vision Token Pruning; Efficiency and Compression; Interpretability and Analysis; including LLMs
2569	HiPO: Self-Hint Policy Optimization for RLVR Authors: Deng Qiyuan; Kehai Chen; Min Zhang; Zhongwen Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Large Language Models; Mathematical Reasoning; including LLMs
2570	HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation Authors: Peilin Wu; Mian Zhang; Kun Wan; Wentian Zhao; Kaiyu He; Xinya Du; Zhiyu Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Retrieval Augmented Generation; LLM Agent; Agentic RAG; Question Answering; Reinforcement Learning; including LLMs
2571	Hierarchy Decoding: A Training-free Parallel Decoding Strategy for Diffusion Large Language Models Authors: Xiaojing Qi; Lun Du; Xinyuan Zhang; Lanning Wei; Tao Jin; Da Zheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion Large Language Models; Inference Acceleration; including LLMs
2572	High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning Authors: Tim Franzmeyer; Archie Sravankumar; Lijuan Liu; Yuning Mao; Rui Hou; Sinong Wang; Jakob Nicolaus Foerster; Luke Zettlemoyer; Madian Khabsa Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; hallucination; abstention; including LLMs
2573	Highly Efficient and Effective LLMs with Multi-Boolean Architectures Authors: Ba-Hien Tran; Van Minh Nguyen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; Boolean Neural Networks; Efficient AI; including LLMs
2574	Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning Authors: Ling Zhang; Xianliang Yang; Juwon Yu; Park Cheonyoung; Lei Song; Jiang Bian Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Fine-tuning (SFT; DPO; SimPO); Data selection; Holdout loss; In-context learning; Gradient reweighting; including LLMs
2575	Householder-Diagonalized Linear Attention (HDLA): Utilizing Enhanced Decay Mechanism for Efficient Sequence Modeling Authors: Jiefu Zhang; Zhen Qin; Jiabo Tong; Shijie Mei; JiaKui Hu; Yuqi Pan; Anjie Hu; Man Yao; Bo XU; Guoqi Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Linear Attention; Language Model; Foundation Model; including LLMs
2576	How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use Authors: Minhua Lin; Enyan Dai; Hui Liu; Xianfeng Tang; Yuliang Yan; Zhenwei Dai; Jingying Zeng; Zhiwei Zhang; Fali Wang; Hongcheng Gao; Chen Luo; Xiang Zhang; Qi He; Suhang Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; Imperfect Information Game; Strategic Reasoning; including LLMs
2577	How Far Can Unsupervised RLVR Scale LLM Training? Authors: Bingxiang He; Yuxin Zuo; Zeyuan Liu; Shangziqi Zhao; Zixuan Fu; Junlin Yang; Cheng Qian; Kaiyan Zhang; Yuchen Fan; Ganqu Cui; Xiusi Chen; Youbang Sun; Xingtai Lv; Xuekai Zhu; Li S… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Unsupervised Reward; Reinforcement Learning; Reasoning; including LLMs
2578	How Stable is the Next Token? A Geometric View of LLM Prediction Stability Authors: Deyuan Liu; Zecheng Wang; Zhanyue Qin; Zhiying Tu; Dianhui Chu; Dianbo Sui Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Post Training; including LLMs
2579	How Transformers Learn Causal Structures In-Context: Explainable Mechanism Meets Theoretical Guarantee Authors: Jianzhe Wei; Siyu Chen; Jianliang He; Zhuoran Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformers; in-context learning; interpretability; Markov chain; including LLMs
2580	How to train data-efficient LLMs Authors: Noveen Sachdeva; Benjamin Coleman; Wang-Cheng Kang; Jianmo Ni; Lichan Hong; Ed H. Chi; James Caverlee; Julian McAuley; Derek Zhiyuan Cheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: sampling; data efficiency; LLMs; data curation; data quality; including LLMs
2581	Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning Authors: Dayoon Ko; Jihyuk Kim; Haeju Park; Sohyeon Kim; Dahyun Lee; Yongrae Jo; Gunhee Kim; Moontae Lee; Kyungjae Lee Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-hop QA; RAG; Reasoning; including LLMs
2582	Hybrid Reinforcement: when reward is sparse, better to be dense Authors: Leitian Tao; Ilia Kulikov; Swarnadeep Saha; Tianlu Wang; Jing Xu; Sharon Li; Jason E Weston; Ping Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Hybrid rewards for reinforcement learning; including LLMs
2583	IA2: Alignment with ICL Activations improves Supervised Fine-Tuning Authors: Aayush Mishra; Daniel Khashabi; Anqi Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: In Context Learning; ICL; Supervised Fine Tuning; SFT; Adaptation; Self-Distillation; Distillation; including LLMs
2584	IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring Authors: Xuan Cui; HuiYue Li; Run Zeng; Yunfei Zhao; Jinrui Qian; Wei Duan; Bo Liu; Zhanpeng Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Low-Rank Adaptation; Integrated Gradients; Parameter-Efficient Fine-Tuning; Uncertainty-Aware Scoring; including LLMs
2585	IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning Authors: Zhichao Sun; Yidong Ma; Gang Liu; Nemo Chen; Xu Tang; Yao Hu; Yongchao Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Vision-Language Models; Visual Token Pruning; Rotary Position Embeddings; including LLMs
2586	Imitating the Truth: Attention-aware Truth-Guided Enhancement for Hallucination Mitigation in Large Vision-Language Models Authors: Hairui Ren; Zixuan Wang; Yibo Yang; He Zhao; Fan Tang; Dandan Guo; Yi Chang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Hallucination Mitigation; Large Vision-Language Models; Attention Intervention; including LLMs
2587	Improving Block-Wise LLM Quantization by 4-bit Block-Wise Optimal Float (BOF4): Analysis and Variations Authors: Patrick Blumenberg; Thomas Graave; Tim Fingscheidt Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: quantization; large language models; LLMs; including LLMs
2588	Improving Code Localization with Repository Memory Authors: Boshi Wang; Weijian Xu; Yunsheng Li; Xuemei Gao; Yujia Xie; Huan Sun; Dongdong Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Code Localization; Large Language Models; Agent Memory; including LLMs
2589	In Good GRACES: Principled Teacher Selection for Knowledge Distillation Authors: Abhishek Panigrahi; Bingbin Liu; Sadhika Malladi; Sham M. Kakade; Surbhi Goel Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Knowledge distillation; Directional coverage; Gradient variance; Cross Validation; Best Teacher prediction; including LLMs
2590	In-Context Algorithm Emulation in Fixed-Weight Transformers Authors: Jerry Yao-Chieh Hu; Hude Liu; Jennifer Yuntong Zhang; Han Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: In-Context Learning; Attention Mechanism; In-Context Gradient Descent; Transformer; Universal Approximation; including LLMs
2591	InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning Authors: Matthew Y. R. Yang; Hao Bai; Ian Wu; Gene Yang; Amrith Setlur; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; reasoning; intervention; SFT; RL; including LLMs
2592	Incentivizing LLM Reasoning via Reinforcement Learning with Functional Monte Carlo Tree Search Authors: Kongcheng Zhang; QI YAO; Baisheng Lai; Jiaxing Huang; Wenkai Fang; Dacheng Tao; Mingli Song; Shunyu Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Reinforcement Learning; Reasoning; including LLMs
2593	InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation Authors: Weilin Zhao; Zihan Zhou; Zhou su; Chaojun Xiao; Yuxuan Li; Yanghao Li; Yudi Zhang; Weilun Zhao; Zhen Li; Yuxiang Huang; Ao Sun; Xu Han; Zhiyuan Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Sparse attention; Long-context; Efficient algorithm; including LLMs
2594	Inference-Cost-Aware Dynamic Tree Construction for Efficient Inference in Large Language Models Authors: Yinrong Hong; Zhiquan Tan; Kai Hu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Speculative Decoding; including LLMs
2595	Influence-Preserving Proxies for Gradient-Based Data Selection in LLM FineTuning Authors: Sirui Chen; Yunzhe Qi; Mengting Ai; Yifan Sun; Ruizhong Qiu; Jiaru Zou; Jingrui He Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Data Selection; Large Language Models; including LLMs
2596	Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents Authors: Guoqing Wang; Sunhao Dai; Guangze Ye; Zeyu Gan; Wei Yao; Yong Deng; Xiaofeng Wu; Zhenzhe Ying Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Turn-Level Reward; Search Agent; Agentic RL; including LLMs
2597	InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models Authors: Yuchen Yan; Yongliang Shen; Yang Liu; Jin Jiang; Mengdi Zhang; Jian Shao; Yueting Zhuang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning; Context Management; Efficient Reasoning; including LLMs
2598	Inpainting-Guided Policy Optimization for Diffusion Large Language Models Authors: Siyan Zhao; Mengchen Liu; Jing Huang; Miao Liu; Chenyu Wang; Bo Liu; Yuandong Tian; Guan Pang; Sean Bell; Aditya Grover; Feiyu Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion Large Language Models; Reinforcement Learning; Inpainting; Group Relative Policy Optimization; including LLMs
2599	Interleaving Reasoning for Better Text-to-Image Generation Authors: Wenxuan Huang; Shuang Chen; Zheyong Xie; Shaosheng Cao; SHIXIANG TANG; Yufan Shen; Qingyu Yin; Wenbo Hu; Xiaoman Wang; Yuntian Tang; Junbo Qiao; Hangyu Guo; Yao Hu; Zhenfei Yin; P… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Interleaving Reasoning; Text-to-Image Generation; including LLMs
2600	Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders Authors: Yizhou Wang; Song Mao; Yang Chen; Yufan Shen; Pinlong Cai; Ding Wang; Guohang Yan; Zhi Yu; Yinqiao Yan; Xuming Hu; Botian Shi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language Model; MLLMs; Vision Encoder; Machine Learning; including LLMs
2601	Is Finer Better? The Limits of Microscaling Formats in Large Language Models Authors: Andrea Fasoli; Monodeep Kar; Chi-Chun Liu; Swagath Venkataramani; Viji Srinivasan; Leland Chang; Naigang Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: microscaling; fine-grained; FP4; quantization; low-precision; llm; including LLMs
2602	Is In-Context Learning Learning? Authors: Adrian de Wynter Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; in-context learning; including LLMs
2603	It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization Authors: Ali Behrouz; Meisam Razaviyayn; Peilin Zhong; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Test Time Memorization; Online Optimization; Recurrent Neural Networks; including LLMs
2604	J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning Authors: Chenxi Whitehouse; Tianlu Wang; Ping Yu; Xian Li; Jason E Weston; Ilia Kulikov; Swarnadeep Saha Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM-as-a-Judge; Reasoning; Reinforcement Learning; including LLMs
2605	KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models Authors: Zukang Xu; Zhixiong Zhao; Xing Hu; Zhixuan Chen; Dawei Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: vector quantization; llm; Moe; including LLMs
2606	KV Cache Transform Coding for Compact Storage in LLM Inference Authors: Konrad Staniszewski; Adrian Łańcucki Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformer; kv cache; compression; including LLMs
2607	KVComm: Enabling Efficient LLM Communication through Selective KV Sharing Authors: Xiangyu Shi; Marco Chiesa; Gerald Q. Maguire Jr.; Dejan Kostic Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Multi-Agent Systems; Inter-LLM Communication; Multi-agent Debate; including LLMs
2608	KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model Authors: Xinping Zhao; Xinshuo Hu; Zifei Shan; Shouzheng Huang; Yao Zhou; Xin Zhang; Zetian Sun; zhenyu liu; Dongfang Li; Xinyuan Wei; Youcheng Pan; Yang Xiang; Meishan Zhang; Haofen Wang;… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Embedding Model; LLMs; Retriever; including LLMs
2609	KaVa: Latent Reasoning via Compressed KV-Cache Distillation Authors: Anna Kuzina; Maciej Pióro; Babak Ehteshami Bejnordi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: llm; reasoning; latent reasoning; efficiency; including LLMs
2610	Keep the Best, Forget the Rest: Reliable Alignment with Order-Aware Preference Optimization Authors: Jiahui Zhu; Yuanjie Shi; Xiyue Peng; Xin Liu; Yan Yan; Honghao Wei Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Models; Preference Optimization; RLHF; including LLMs
2611	Kevin: Multi-Turn RL for Generating CUDA Kernels Authors: Carlo Baronio; Pietro Marsella; Ben Pan; Simon Guo; Silas Alberti Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: multi-turn; RL; GPU kernel; code generation; including LLMs
2612	Kimi-Dev: Agentless Training as Skill Prior for SWE-agents Authors: Zonghan Yang; Shengjie Wang; Kelin Fu; Wenyang He; Weimin Xiong; Yibo Liu; Yibo Miao; Bofei Gao; Yejie Wang; YINGWEI MA; Yanhao Li; Yue Liu; Zhenxing Hu; kaitai zhang; Shuyi Wang;… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: coder LLM; Agentless; SWE-Agent; Reinforcement Learning; including LLMs
2613	KnowGuard: Knowledge-Driven Abstention for Multi-Round Clinical Reasoning Authors: Xilin Dang; Kexin Chen; Xiaorui Su; Ayush Noori; Iñaki Arango; Lucas Vittor; LONG XINYI; Yuyang Du; Marinka Zitnik; Pheng-Ann Heng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: multi-agent system; clinical reasoning; medical question answering; including LLMs
2614	Knowledge Fusion of Large Language Models via Modular SkillPacks Authors: Guodong DU; Zhuo Li; Xuanning Zhou; Junlin Li; Zesheng Shi; Wanyu Lin; Ho-Kin Tang; Xiucheng Li; Fangming Liu; Wenya Wang; Min Zhang; Jing Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Knowledge Fusion; Model Merging; Large Language Model; Task Vector; including LLMs
2615	KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and Unlearning Authors: Yinyi Luo; Zhexian Zhou; Hao Chen; Kai Qiu; Marios Savvides; Sharon Li; Jindong Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Knowledge Editing; Machine Unlearning; Knowledge Graph; including LLMs
2616	LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts Authors: Yuan Zhuang; Yi Shen; Yuexin Bian; Qing Su; Shihao Ji; Yuanyuan Shi; Fei Miao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixture of Experts; Mixture of LoRA Experts; Dynamic routing; Fully differentiable; LoRA; MoE; including LLMs
2617	LH-DECEPTION: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions Authors: Yang Xu; Xuanming Zhang; Samuel Yeh; Jwala Dhamala; Ousmane Dia; Rahul Gupta; Sharon Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM deception; Long-horizon interaction; including LLMs
2618	LINGOLY-TOO: Disentangling Reasoning from Knowledge with Templatised Orthographic Obfuscation Authors: Jude Khouja; Lingyi Yang; Karolina Korgul; Simeon Hellsten; Vlad A. Neacșu; Harry Mayne; Ryan Othniel Kearns; Andrew M. Bean; Adam Mahdi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Benchmark; Linguistic reasoning; Permutation; including LLMs
2619	LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery Authors: Nikhil Abhyankar; Sanchit Kabra; Saaketh Desai; Chandan K. Reddy Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Evolutionary Optimization; AI for Science; Materials Discovery; including LLMs
2620	LLM Pretraining with Continuous Concepts Authors: Jihoon Tack; Jack Lanchantin; Jane Yu; Andrew Cohen; Ilia Kulikov; Janice Lan; Shibo Hao; Yuandong Tian; Jason E Weston; Xian Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Pretraining; Concepts; Sparse Autoencoders; including LLMs
2621	LLMs Struggle to Balance Reasoning and World Knowledge in Causal Narrative Understanding Authors: Khurram Yamin; Shantanu Gupta; Gaurav Rohit Ghosal; Zachary Chase Lipton; Bryan Wilder Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Causal Inference; Large Language Models; Reasoning; Narratives; including LLMs
2622	LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities Authors: Thomas Schmied; Jörg Bornschein; Jordi Grau-Moya; Markus Wulfmeier; Razvan Pascanu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Fine-tuning; Agents; Decision-Making; Exploration; Analysis; including LLMs
2623	LLMs are Single-threaded Reasoners: Demystifying the Working Mechanism of Soft Thinking Authors: Junhong Wu; Jinliang Lu; Zixuan Ren; Gangqiang Hu; Zhi Wu; Dai Dai; Hua Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; latent chain-of-thought; reasoning; including LLMs
2624	LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models Authors: Pengcheng Zheng; Chaoning Zhang; Jiarong Mo; GuoHui Li; Jiaquan Zhang; Jiahao Zhang; Sihan Cao; Sheng Zheng; Caiyan Qin; Guoqing Wang; Yang Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Multimodal Models; Model Compression; Fourier Domain; Matrix Approximation; including LLMs
2625	LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning Authors: Haoqiang Kang; Yizhe Zhang; Nikki Lijing Kuang; Nicklas Majamaki; Navdeep Jaitly; Yian Ma; Lianhui Qin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Diffusion Models; Latent Reasoning; including LLMs
2626	LaSeR: Reinforcement Learning with Last-Token Self-Rewarding Authors: Wenkai Yang; Weijie Liu; Ruobing Xie; Yiju Guo; Lulu Wu; Saiyong Yang; Yankai Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; LLM Reasoning; Self-Rewarding; including LLMs
2627	Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models Authors: Zhanke Zhou; Zhaocheng Zhu; Xuan Li; Mikhail Galkin; Xiao Feng; Sanmi Koyejo; Jian Tang; Bo Han Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Visualization; including LLMs
2628	Language Confusion Gate: Language-Aware Decoding Through Model Self-Distillation Authors: Collin Zhang; Fei Huang; Chenhan Yuan; Junyang Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: llm; decoding intervention; language confusion; including LLMs
2629	Language Models are Injective and Hence Invertible Authors: Giorgos Nikolaou; Tommaso Mencattini; Donato Crisostomi; Andrea Santilli; Yannis Panagakis; Emanuele Rodolà Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformers; language models; invertibility; injectivity; inversion; privacy; including LLMs
2630	Language-Instructed Vision Embeddings for Controllable and Generalizable Perception Authors: Chengzhi Mao; Xudong Lin; Wen-Sheng Chu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Language Model; including LLMs
2631	LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel Authors: Zhe Feng; Sen Lian; Changwei Wang; Muyang Zhang; Tianlong Tan; Rongtao Xu; Weiliang Meng; Xiaopeng Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Linear Attention; Transformer; Kernel learning; including LLMs
2632	Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better Authors: Ji Zhao; Shitong Shao; Yufei Gu; Xun Zhou; liang xiang; Zeke Xie Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Efficient Training; Representation Learning; including LLMs
2633	Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in Its Latent Thoughts Authors: Hanwen Du; Yuxin Dong; Xia Ning Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Latent representation learning; scaling test-time compute; including LLMs
2634	Latent-Guided Reasoning: Empowering Small LLMs with Large-Model Thinking Authors: Hanzhu Chen; Lin Yang; Jie Wang; Junhao Yan; Zhe Wang; Xize Liang; Jianye HAO Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Efficient Reasoning; including LLMs
2635	Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation Authors: Shufan Li; Jiuxiang Gu; Kangning Liu; Zhe Lin; Zijun Wei; Aditya Grover; Jason Kuen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Masked Diffusion Model; Unified Multi-modal model; including LLMs
2636	LeSTD: LLM Compression via Learning-based Sparse Tensor Decomposition Authors: Yi Li; Zhichun Guo; Miao Yin; Bingzhe Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Compression; Post-training Compression; Tucker Decomposition; Sparsity; including LLMs
2637	Learn More with Less: Uncertainty Consistency Guided Query Selection for RLVR Authors: Hao Yi; Yulan Hu; Xin Li; Sheng Ouyang; Lizhong Ding; Yong Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement learning; Large Language Model; Active Learning; Reasoning; including LLMs
2638	Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning Authors: Yulei Qin; Xiaoyu Tan; Zhengbao He; Gang Li; Haojia Lin; Zongyi Li; Zihan Xu; Yuchen Shi; Siqi Cai; Renting Rui; Shaofei Cai; Yuzheng Cai; Xuan Zhang; Sheng Ye; Ke Li; Xing Sun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reinforcement learning; self-imitation learning; large language model; agentic learning; llm agents; including LLMs
2639	Learn to Reason Efficiently with Adaptive Length-based Reward Shaping Authors: Wei Liu; Ruochen Zhou; Yiyun Deng; Yuzhen Huang; Junteng Liu; Yuntian Deng; Yizhe Zhang; Junxian He Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Large Reasoning Models; Efficient Reasoning; Reinforcement Learning; including LLMs
2640	Learned Meta-Tokens for Language Modeling Authors: Alok Shah; Khush Gupta; Keshav Ramji; Pratik Chaudhari Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: meta-tokens; language models; pre-training; positional encoding; including LLMs
2641	Learning Facts at Scale with Active Reading Authors: Jessy Lin; Vincent-Pierre Berges; Xilun Chen; Wen-tau Yih; Gargi Ghosh; Barlas Oguz Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: factuality; tail knowledge; synthetic data; synthetic continued pretraining; including LLMs
2642	Learning From Dictionary: Enhancing Robustness of Machine-Generated Text Detection in Zero-Shot Language via Adversarial Training Authors: Yuanfan Li; Qi Zhou; Zexuan Xie Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Adversarial Training; Machine Generated Text Detection; including LLMs
2643	Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain Authors: Jiaquan Zhang; Chaoning Zhang; Shuxu Chen; Xudong Wang; Zhenzhen Huang; Pengcheng Zheng; Shuai Yuan; Sheng Zheng; Qigan Sun; Jie Zou; LIK-HANG LEE; Yang Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models，Complex Reasoning; including LLMs
2644	Learning Ordinal Probabilistic Reward from Preferences Authors: Longze Chen; Lu Wang; Renke Shan; Ze Gong; Run Luo; Jiaming Li; Jing Luo; Qiyao Wang; Min Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reward Modeling; Large Language Models; RLHF; including LLMs
2645	Learning To Draft: Adaptive Speculative Decoding with Reinforcement Learning Authors: Jiebin Zhang; Zhenghan Yu; Liang Wang; Nan Yang; Eugene J. Yu; Zheng Li; Yifan Song; Dawei Zhu; Xingxing Zhang; Furu Wei; Sujian Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: speculative decoding; reinforcement learning; including LLMs
2646	Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions Authors: Lu Ma; Hao Liang; Meiyi Qiang; Lexiang Tang; Xiaochen Ma; Zhen Hao Wong; Junbo Niu; Chengyu Shen; Runming He; Yanhao Li; Wentao Zhang; Bin CUI Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Reinforcement Learning; Supervised Fine-Tuning; including LLMs
2647	Learning from Synthetic Data Improves Multi-hop Reasoning Authors: Anmol Kabra; Yilun Yin; Albert Gong; Kamilė Stankevičiūtė; Dongyoung Go; Johann Lee; Katie Z Luo; Carla P Gomes; Kilian Q Weinberger Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: multi-hop reasoning; large language models; reinforcement learning; synthetic data; including LLMs
2648	Learning is Forgetting; LLM Training As Lossy Compression Authors: Henry Conklin; Tom Hosking; Tan Yi-Chern; Jonathan D. Cohen; Sarah-Jane Leslie; Thomas L. Griffiths; Max Bartolo; Seraphina Goldfarb-Tarrant Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Compression; Information Theory; Generalisation; LLMs; Interpretability; including LLMs
2649	Learning to Generate Unit Test via Adversarial Reinforcement Learning Authors: Dongjun Lee; Changho Hwang; Kimin Lee Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Code generation; Reinforcement Learning; including LLMs
2650	Learning to Orchestrate Agents in Natural Language with the Conductor Authors: Stefan Nielsen; Edoardo Cetin; Peter Schwendeman; Qi Sun; Jinglue Xu; Yujin Tang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RL; reasoning; LLM; tool use; prompting; including LLMs
2651	Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding Authors: Wenrui Bao; Zhiben Chen; Dan Xu; Yuzhang Shang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion LLM; including LLMs
2652	Learning to Reason Efficiently with Discounted Reinforcement Learning Authors: Alex Ayoub; Kavosh Asadi; Dale Schuurmans; Csaba Szepesvari; Karim Bouyarmane Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reinforcement learning; reasoning; blackwell optimality; post training; including LLMs
2653	Learning to Reason as Action Abstractions with Scalable Mid-Training RL Authors: Shenao Zhang; Donghan Yu; Yihao Feng; Bowen Jin; Zhaoran Wang; John Peebles; Zirui Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reinforcement learning; large language model; including LLMs
2654	Learning to Reason over Continuous Tokens with Reinforcement Learning Authors: Yiran Zhao; Yuhui Xu; Doyen Sahoo; Caiming Xiong; Junnan Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Hybrid Reasoning; Reinforcement Learning; including LLMs
2655	Learning to Reason via Mixture-of-Thought for Logical Reasoning Authors: Tong Zheng; Lichang Chen; Simeng Han; R. Thomas McCoy; Heng Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Logical Reasoning; Self-evolving Training; Large Language Models; Parallel Scaling; Test time scaling; including LLMs
2656	Learning to Reason without External Rewards Authors: Xuandong Zhao; Zhewei Kang; Aosong Feng; Sergey Levine; Dawn Song Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RL; Reasoning; LLM; including LLMs
2657	Learning to summarize user information for personalized reinforcement learning from human feedback Authors: HyunJi Nam; Yanming Wan; Mickel Liu; Peter F. Ahnn; Jianxun Lian; Natasha Jaques Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: pluralistic preference alignment; RL finetuning of LLMs; pluralistic reward modeling; including LLMs
2658	Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification Authors: Moises Andrade; Joonhyuk Cha; Brandon Ho; Vriksha Srihari; Karmesh Yadav; Zsolt Kira Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Verifiers; Verification; Digital Agents; Web Agents; GUI Agents; Robotics; Large Language Models; Test Time Scaling; WebArena; OSWorld; Reward Models; open-end…
2659	Leveraging Pretrained Knowledge at Inference Time: LoRA-Gated Contrastive Decoding for Multilingual Factual Language Generation in Adapted LLMs Authors: Gwangseon Jang; Hongseok Choi; Chanuk lim; Kyong-Ha Lee; Mun Yong Yi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Contrastive Decoding; Multilingual Language Models; Inference-Time Knowledge Integration; Token-Level Confidence Gating; LLM; including LLMs
2660	LightMem: Lightweight and Efficient Memory-Augmented Generation Authors: Jizhan Fang; Xinle Deng; Haoming Xu; Ziyan Jiang; Yuqi Tang; Ziwen Xu; Shumin Deng; Yunzhi Yao; Mengru Wang; Shuofei Qiao; Huajun Chen; Ningyu Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; LLM memory; including LLMs
2661	Linking Process to Outcome: Conditional Reward Modeling for LLM Reasoning Authors: Zheng Zhang; Ziwei Shan; Kaitao Song; Yexin Li; Kan Ren Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; reasoning; process reward model; reinforcement learning; including LLMs
2662	Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression Authors: Yifei Zuo; Yutong Yin; Zhichen Zeng; Ang Li; Banghua Zhu; Zhaoran Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Attention Mechanism; Sequence Modeling; Test-Time Training; Local Linear Regression; Associative Memory; Hardware-Efficient Attention; including LLMs
2663	Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation Authors: Peter Baile Chen; Yi Zhang; Dan Roth; Samuel Madden; Jacob Andreas; Mike Cafarella Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: log; KV cache; generation; including LLMs
2664	Log-Linear Attention Authors: Han Guo; Songlin Yang; Tarushii Goel; Eric P. Xing; Tri Dao; Yoon Kim Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: subquadratic architecture; triton kernel; structured matrices; including LLMs
2665	Long Chain-of-Thought Reasoning Across Languages Authors: Josh Barua; Seun Eisape; Kayo Yin; Alane Suhr Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multilingual; Reasoning; Long Chain-of-Thought; including LLMs
2666	LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards Authors: Guanzheng Chen; Michael Qizhe Shieh; Lidong Bing Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Long Context; Reinforcement Learning with Verifiable Rewards; including LLMs
2667	Lookahead Tree-Based Rollouts for Enhanced Trajectory-Level Exploration in Reinforcement Learning with Verifiable Rewards Authors: Shangyu Xing; Siyuan Wang; Chenyuan Yang; Xinyu Dai; Xiang Ren Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RLVR; GRPO; rollout; LLM; reasoning; including LLMs
2668	LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation Authors: Jinwoo Ahn; Ingyu Seong; Akhil Kedia; Junhan Kim; Hyemi Jang; Kangwook Lee; Yongkweon Jeon Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Efficiency; Key-Value Cache Compression; Long-Context LLM; Inference Optimization; including LLMs
2669	LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation Authors: Ahmadreza Jeddi; Marco Ciccone; Babak Taati Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; LLMs; reasoning; looped transformers; efficient inference; parameter sharing; including LLMs
2670	Low rank adaptation of chemical foundation models generate effective odorant representations Authors: Grant D. McConachie; Emily Duniec; Florence V. Guerina; Meg Younger; Brian DePasquale Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: chemical foundation models; protein foundation models; low rank adaptation; olfaction; multi-modal model; computational neuroscience; including LLMs
2671	LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding Authors: Gang Lin; Dongfang Li; Zhuoen Chen; Yukun Shi; Xuhui Chen; Baotian Hu; Min Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Long-Context Inference; Sparse Attention; Hybrid-Head Attention; including LLMs
2672	MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer Authors: Yanghao Li; Rui Qian; Bowen Pan; Haotian Zhang; Haoshuo Huang; Bowen Zhang; Jialing Tong; Haoxuan You; Xianzhi Du; Zhe Gan; Hyunjik Kim; Chao Jia; Zhenbang Wang; Yinfei Yang; Ming… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Unified; Multimodal Large Language Models; understanding; generation; hybrid tokenizer; including LLMs
2673	MARSHAL: Incentivizing Multi-Agent Reasoning via Self-Play with Strategic LLMs Authors: Huining Yuan; Zelai Xu; Zheyue Tan; Xiangmin Yi; Mo Guang; Kaiwen Long; Haojia Hui; Boxun Li; Xinlei Chen; Bo Zhao; Xiao-Ping Zhang; Chao Yu; Yu Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Self-play; Multi-Agent System; Strategic Games; including LLMs
2674	MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference Authors: Kaiyan Zhang; Kai Tian; Runze Liu; Sihang Zeng; Xuekai Zhu; Guoli Jia; Yuchen Fan; Xingtai Lv; Yuxin Zuo; Che Jiang; Yuru wang; Jianyu Wang; Ermo Hua; Xinwei Long; Junqi Gao; Youb… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Multi-Agent; Reinforcement Learning; including LLMs
2675	MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems Authors: Kun Wang; Guibin Zhang; ManKit Ye; Xinyu Deng; Dongxia Wang; Xiaobin Hu; Jinyang Guo; Yang Liu; Yufei Guo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-Agent System; LLM Agent; including LLMs
2676	MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents Authors: Zijian Zhou; Ao Qu; Zhaoxuan Wu; Sunghwan Kim; Alok Prakash; Daniela Rus; Bryan Kian Hsiang Low; Paul Pu Liang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: deep research; reasoning; context compression; including LLMs
2677	MENLO: From Preferences to Proficiency – Evaluating and Modeling Native-like Quality Across 47 Languages Authors: Chenxi Whitehouse; Sebastian Ruder; Tony Zhiyang Lin; Oksana Kurylo; Haruka Takagi; Janice Lam; Nicolò Busetto; Denise Diaz Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: multilingual; reward modeling; rl; llm-as-judge; human evaluation; including LLMs
2678	MLP Memory: A Retriever-Pretrained Memory for Large Language Models Authors: Rubin Wei; Jiaqi Cao; Jiarui Wang; Jushi Kai; Qipeng Guo; Bowen Zhou; Zhouhan Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: external memory; parametric memory; including LLMs
2679	MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimization Authors: Xiangyu Zhao; Junming Lin; Tianhao Liang; Yifan Zhou; Wenhao Chai; Yuzhe Gu; Weiyun Wang; Kai Chen; Gen Luo; Junchi Yan; Wenwei Zhang; Hua Yang; Haodong Duan; Xue Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: MLLM; Reasoning; including LLMs
2680	MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation Authors: Ye Tian; Ling Yang; JiongFan Yang; Anran Wang; Yu Tian; Jiani zheng; Haochen Wang; Zhiyang Teng; Zhuochen Wang; Yinjie Wang; Yunhai Tong; Mengdi Wang; Xiangtai Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: generation; multimodal diffusion language model; including LLMs
2681	MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates Authors: Alex Iacob; Andrej Jovanovic; Mher Safaryan; Meghdad Kurmanji; Lorenzo Sani; Samuel Horváth; William F. Shen; Xinchi Qiu; Nicholas D. Lane Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Distributed Training; Foundation Models; Large Language Models; Optimizers; Communication Efficiency; Federated Learning; Distributed Systems; Optimization The…
2682	Making Slow Thinking Faster: Compressing LLM Chain-of-Thought via Step Entropy Authors: Zeju Li; Jianyuan Zhong; Ziyang Zheng; Xiangyu Wen; Zhijian Xu; Yingying Cheng; Fan Zhang; Qiang Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient LLM; CoT compression; including LLMs
2683	Making, Not Taking, the Best of N Authors: Ammar Khairi; Daniel D'souza; Marzieh Fadaee; Julia Kreutzer Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Best-of-N; test-time scaling; synthetic data generation; inference; multilingual; diversity; ensembling; including LLMs
2684	Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs Authors: Minji Kim; Taekyung Kim; Bohyung Han Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Video Large Language Models; Information Flow Analysis; Video Question Answering; including LLMs
2685	MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task Authors: Yuchen Yan; Yongliang Shen; Yang Liu; Jin Jiang; Xin Xu; Mengdi Zhang; Jian Shao; Yueting Zhuang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning; Mathematical Reasoning; Data Augmentation; including LLMs
2686	MeSH: Memory-as-State-Highways for Recursive Transformers Authors: Chengting Yu; Xiaobo Shu; Yadao Wang; Yizhen Zhang; Haoyi Wu; Jiaang Li; Rujiao Long; Ziheng Chen; Yuchi Xu; Wenbo Su; Bo Zheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Recursive Transformer; Language Model; Parameter Sharing; Parameter Efficiency; including LLMs
2687	Measuring LLM Novelty As The Frontier Of Original And High-Quality Output Authors: Vishakh Padmakumar; Chen Yueh-Han; Jane Pan; Valerie Chen; He He Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: generation; evaluation; memorization; novelty; benchmark; creativity; including LLMs
2688	MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning Authors: Zheng Jiang; Heng Guo; Chengyu Fang; Changchen Xiao; Xinyang Hu; Lifeng Sun; Minfeng Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Think with images; Medical visual reasoning; Medical VQA; Agentic reinforcement learning; including LLMs
2689	MemGen: Weaving Generative Latent Memory for Self-Evolving Agents Authors: Guibin Zhang; Muxin Fu; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Agent Memory; Latent Reasoning; LLM Agent; including LLMs
2690	MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding Authors: Xin Jin; Siyuan Li; Siyong Jian; Kai Yu; Huan Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixup; Augmentation; MLLM; Image Classification; Visual Alignment; including LLMs
2691	MesaNet: Sequence Modeling by Locally Optimal Test-Time Training Authors: Johannes von Oswald; Nino Scherrer; Seijin Kobayashi; Luca Versari; Songlin Yang; Maximilian Schlegel; Kaitlin Maile; Yanick Schimpf; Oliver Sieberling; Alexander Meulemans; Guill… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Sequence modeling; test-time training; RNN transformer alternatives; including LLMs
2692	Meta-RL Induces Exploration in Language Agents Authors: Yulun Jiang; Liangze Jiang; Damien Teney; Michael Moor; Maria Brbic Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Agent; Reinforcement Learning; Meta Learning; including LLMs
2693	Meta-Router: Bridging Gold-standard and Preference-based Evaluations in LLM Routing Authors: Yichi Zhang; Fangzheng Xie; Shu Yang; Chong Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Causal learning; Meta-learner; Large Language Model; query routing; including LLMs
2694	Meta-UCF: Unified Task-Conditioned LoRA Generation for Continual Learning in Large Language Models Authors: ShiLin Xiao; Tianxiang Xu; Canran Xiao; Weihao Luo; Liwei Hou; Chuangxin Zhao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Fine-Tuning; Continual fine-tuning; including LLMs
2695	MetaVLA: Unified Meta Co-Training for Efficient Embodied Adaptation Authors: Chen Li; Zhantao Yang; Han Zhang; Fangyi Chen; Chenchen Zhu; Anudeepsekhar Bolimera; Marios Savvides Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision–Language–Action models; Efficient Robot Reasoning; Generalization; including LLMs
2696	Metis: Training LLMs with FP4 Quantization Authors: Hengjie Cao; Mengyi Chen; Yifeng Yang; Fang Dong; Ruijun Huang; Jixian Zhou; Anrui Chen; Mingzhi Dong; Yujiang Wang; Jinlong Hou; Yuan Cheng; FAN WU; Fan Yang; Tun Lu; Ning Gu; Li… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: FP4; Full Quantization Training; LLM; including LLMs
2697	MiSS: Revisiting the Trade-off in LoRA with an Efficient Shard-Sharing Structure Authors: Jiale Kang; Qingyu Yin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: PEFT; LLM; LoRA; including LLMs
2698	MindCube: Spatial Mental Modeling from Limited Views Authors: Qineng Wang; Baiqiao Yin; Pingyue Zhang; Jianshu Zhang; Kangrui Wang; Zihan Wang; Jieyu Zhang; Keshigeyan Chandrasegaran; Han Liu; Ranjay Krishna; Saining Xie; Jiajun Wu; Li Fei-F… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Language Models; VLMs; Multi Modal Language Models; Spatial Intelligence; Spatial Reasoning; including LLMs
2699	Mixture-of-Visual-Thoughts: Exploring Context-Adaptive Reasoning Mode Selection for General Visual Reasoning Authors: Zejun Li; Yingxiu Zhao; Jiwen Zhang; Siyuan Wang; Yang Yao; Runzhou Zhao; Jun Song; Bo Zheng; zhongyu wei Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: visual reasoning; adaptive reasoning; multimodal large language models; including LLMs
2700	MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs Authors: Xiaodong Chen; Mingming Ha; Zhenzhong Lan; Jing Zhang; Jianguo Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; model compression; structured pruning; including LLMs
2701	MoDr: Mixture-of-Depth-Recurrent Transformers for Test-Time Reasoning Authors: Xiaojing Zhang; Haifeng Wu; Gang He; Jiyang Shen; Bochen Lyu; Zhanxing Zhu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; mixture-of-depth-recurrent transformer; latent space; test-time reasoning; including LLMs
2702	MoL: Adaptive Mixture-of-Length Reasoning for Efficient Question Answering with Context Authors: Guocong Li; Jinjian Zhang; Ping Wang; Dongnan Liu; Tian Liang; Qiuyi Qi; Hao Huang; Siyan Guo; Mutian Bao; Wei Zhou; Linjian Mo; Hongxia Xu; Jian Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Question Answering; (Large) Language Models; including LLMs
2703	MoM: Linear Sequence Modeling with Mixture-of-Memories Authors: Jusen Du; Weigao Sun; Disen Lan; Jiaxi Hu; Tao Zhang; Yu Cheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient/Low-Resource Methods for NLP; Linear Sequence Modeling; Machine Learning for NLP; including LLMs
2704	MoNE: Replacing Redundant Experts with Lightweight Novices for Structured Pruning of MoE Authors: Geng Zhang; Han Yuxuan; Yuxuan Lou; Yiqi Zhang; Wangbo Zhao; Yang You Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Model Compression; Mixture-of-Experts; Structured Pruning; Expert Pruning; including LLMs
2705	MoSA: Mosaic Shared Adaptation of Large Language Models Authors: Xiequn Wang; Zhan Zhuang; Shengda Luo; Yu Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Parameter-efficient fine-tuning; large language model; low-rank adaptation; including LLMs
2706	MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes Authors: Changsheng Zhao; Ernie Chang; Zechun Liu; Chia-Jung Chang; Wei Wen; Chen Lai; Sheng Cao; Yuandong Tian; Raghuraman Krishnamoorthi; Yangyang Shi; Vikas Chandra Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: On-device LLM; including LLMs
2707	Mode-conditioning unlocks superior test-time compute scaling Authors: Chen Henry Wu; Sachin Goyal; Aditi Raghunathan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: test-time compute; reasoning; diversity; including LLMs
2708	More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models Authors: Xinyu Tian; Shu Zou; Zhaoyuan Yang; Mengqi He; Fabian Waschkowski; Lukas Wesemann; Peter Henry Tu; Jing Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision-Language Models; Multimodal Reasoning; Reinforcement Learning; including LLMs
2709	Multi-Agent Debate with Memory Masking Authors: Hongduan Tian; Xiao Feng; Ziyuan ZHAO; XiangyuZhu; Rolan Yan; Bo Han Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: multi-agent debate; memory selection; robustness; including LLMs
2710	Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies Authors: Han Zhou; Xingchen Wan; Ruoxi Sun; Hamid Palangi; Shariq Iqbal; Ivan Vulić; Anna Korhonen; Sercan O Arik Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language agent; multi-agent system; including LLMs
2711	Multi-Head Low-Rank Attention Authors: Songtao Liu; Hongwu Peng; Zhiwei Zhang; Zhengyu Chen; Yue Guo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: ML System; Efficient Decoding; including LLMs
2712	Multiple Token Divergence: Measuring and Steering In-Context Computation Density Authors: Vincent Herrmann; Eric Alcaide; Michael Wand; Jürgen Schmidhuber Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language models; in-context learning; reasoning; interpretability; decoding; including LLMs
2713	NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching Authors: Run Luo; Xiaobo Xia; Lu Wang; Longze Chen; Renke Shan; Jing Luo; Min Yang; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Omnimodal; Multimodal Learning; Discrete Flow Matching; including LLMs
2714	NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization Authors: Enshu Liu; Xuefei Ning; Yu Wang; Zinan Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Discrete Diffusion Sampling; Neural Indicator; including LLMs
2715	Native Reasoning Models: Training Language Models to Reason on Unverifiable Data Authors: Yuanfu Wang; Zhixuan Liu; Li xiangtian; Chaochao Lu; Chao Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Reinforcement Learning; including LLMs
2716	Natural Identifiers for Privacy and Data Audits in Large Language Models Authors: Lorenzo Rossi; Bartłomiej Marek; Franziska Boenisch; Adam Dziedzic Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: privacy auditing; natural identifiers; dataset inference; differential privacy; LLMs; including LLMs
2717	Near-Optimal Online Deployment and Routing for Streaming LLMs Authors: Shaoang Li; Jian Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: online learning; bandits; LLM routing; staged deployment; streaming model arrivals; regret bounds; budget/capacity constraints; including LLMs
2718	New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework Authors: Shaocong Ma; Peiran Yu; Heng Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: peft; large language models; fine tuning; including LLMs
2719	Next-ToBE: Probabilistic Next Token-Bag Exploitation for Activating Anticipatory Capacity in LLMs Authors: Yihe Liu; Huibin Wang; Xianming Hu; Pinyi Zhang; Jiahao Xiong; Chenglin Wang; Nuoyi Chen; Hongbo Zhao; Jie Zhang; Kai Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language models; anticipatory capacity; including LLMs
2720	No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping Authors: Thanh-Long V. Le; Myeongho Jeon; Kim Vu; Viet Dac Lai; Eunho Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; reinforcement learning with verifiable rewards; llm reasoning; including LLMs
2721	No outlier channels but with outlier blocks Authors: Shanwen Mao; Hao Zhang; Jiasheng Li; Haoyu Qiao; Chenxin Cai; Tingting Wu; Jie Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: outliers; Quantization; including LLMs
2722	Noise Stability of Transformer Models Authors: Themistoklis Haris; Zihan Zhang; Yuichi Yoshida Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformers; simplicity bias; noise stability; regularization methods; spectral concentration; including LLMs
2723	Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges Authors: Chen Feng; Minghe Shen; Ananth Balashankar; Carsten Gerner-Beuerle; Miguel R. D. Rodrigues Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM-as-a-Judge; Hypothesis testing; Finite-sample guarantees; Type I/II errors; including LLMs
2724	Nonparametric Teaching of Attention Learners Authors: Chen Zhang; Jianghui Wang; Bingyang Cheng; Zhongtao Chen; Wendong XU; Cong Wang; Marco Canini; Francesco Orabona; Yik Chung WU; Ngai Wong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Nonparametric Teaching; Functional Gradient Descent; Attention Learners; Data Efficiency; including LLMs
2725	Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models Authors: Junhyuck Kim; Ethan Ewer; Taehong Moon; Jongho Park; Dimitris Papailiopoulos Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; reasoning; efficiency; model compression; including LLMs
2726	Not All Documents Are What You Need for Extracting Instruction Tuning Data Authors: Chi Zhang; Huaping Zhong; Hongtao Li; Chengliang Chai; Hongjiawei; Yu-Ping Wang; Yuhao Deng; Jiacheng Wang; Yizhou Yan; Qiu Jiantao; Conghui He; Lei Cao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: data extraction; data efficient; instruction tuning; including LLMs
2727	Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models Authors: Jingcong Liang; Siyuan Wang; Miren Tian; Yitong Li; Duyu Tang; zhongyu wei Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: local routing consistency; MoE analysis; expert offloading; including LLMs
2728	Nudging the Boundaries of LLM Reasoning Authors: Justin Chen; XIANGYU PENG; Prafulla Kumar Choubey; Kung-Hsiang Huang; Jiaxin Zhang; Mohit Bansal; Chien-Sheng Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Nudging LLM; LLM Reasoning; GRPO; including LLMs
2729	ODESteer: A Unified ODE-Based Steering Framework for LLM Alignment Authors: Hongjue Zhao; Haosen Sun; Jiangtao Kong; Xiaochang Li; Qineng Wang; Liwei Jiang; Qi Zhu; Tarek F. Abdelzaher; Yejin Choi; Manling Li; Huajie Shao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM alignment; Representation Engineering; Activation Steering; ODE-based Framework; Barrier Functions; including LLMs
2730	ORION: Decoupling and Alignment for Unified Autoregressive Understanding and Generation Authors: Taihang Hu; Mengting Chen; Jinsong Lan; Xiaoyong Zhu; Kaifu Zhang; Ming-Ming Cheng; Bo Zheng; Yaxing Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: unified generation and understanding; including LLMs
2731	OWL : Geometry-Aware Spatial Reasoning for Audio Large Language Models Authors: Subrata Biswas; Mohammad Nur Hossain Khan; Bashima Islam Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Chain of Thoughts; Spatial Reasoning; including LLMs
2732	Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectories? Authors: Aochong Oliver Li; Tanya Goyal Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large langage models; language model reasoning; multi-model collaboration; off-trajectory reasoning; including LLMs
2733	Omni-IML: Towards Unified Interpretable Image Manipulation Localization Authors: Chenfan Qu; Yiwu Zhong; Fengjun Guo; Lianwen Jin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: document analysis; tampered text detection; vision foundation model; including LLMs
2734	Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images Authors: JiaKui Hu; Shanshan Zhao; Qing-Guo Chen; Xuerui Qiu; Jialun Liu; Zhao Xu; Weihua Luo; Kaifu Zhang; Yanye Lu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: unified model; generation helps understanding; 3d scene understanding; novel view synthesis; including LLMs
2735	OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds Authors: Longrong Yang; Zhixiong Zeng; Yufeng Zhong; Huang Jing; Liming Zheng; Lei Chen; Haibo Qiu; Zequn Qin; Lin Ma; Xi Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: generalist agent; GUI agent; embodied agent; MoE; including LLMs
2736	On Code-Induced Reasoning in LLMs Authors: Abdul Waheed; Zhen Wu; Carolyn Rose; Daphne Ippolito Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: code-induced reasoning; systematic perturbations; large language models; data-centric evaluation; including LLMs
2737	On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond Authors: Chenxiao Yang; Cai Zhou; David Wipf; Zhiyuan Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: diffusion models; autoregressive models; large language models; expressiveness; including LLMs
2738	On Predictability of Reinforcement Learning Dynamics for Large Language Models Authors: Cai Yuchen; Ding Cao; Xin Xu; Zijun Yao; Yuqing Huang; 张本熠; Zhenyu Tan; Guiquan Liu; Junfeng Fang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; Interpretability; Low Rank; including LLMs
2739	On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations Authors: Jianing Guo; Zhenhong Wu; Chang Tu; Yiyao Ma; Xiangqi Kong; Zhiqian Liu; Jiaming Ji; Shuning Zhang; Yuanpei Chen; Kai Chen; Qi Dou; Yaodong Yang; Xianglong Liu; Huijie Zhao; Weife… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Robustness; Vision-Language-Action Models; including LLMs
2740	On learning linear dynamical systems in context with attention layers Authors: Maria-Luiza Vladarean; Xuhui Zhang; Suvrit Sra Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: in-context learning; linear attention; linear dynamical systems; kalman filter; time series; including LLMs
2741	On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization Authors: Janvijay Singh; Austin Xu; Yilun Zhou; Yefan Zhou; Dilek Hakkani-Tür; Shafiq Joty Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; LLM-as-a-Judge; Distribution Shift; Generalization; Evaluation Robustness; including LLMs
2742	On the Thinking-Language Modeling Gap in Large Language Models Authors: Chenxi Liu; Yongqiang Chen; Tongliang Liu; James Cheng; Bo Han; Kun Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Reasoning; Structural Causal Models; including LLMs
2743	On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting Authors: Wenhao Zhang; Yuexiang Xie; Yuchang Sun; Yanxi Chen; Guoyin Wang; Yaliang Li; Bolin Ding; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Post-Training; Reinforcement Learning; Supervise Fine-Tuning; including LLMs
2744	On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs Authors: Rongguang Ye; Ming Tang; Edith C. H. Ngai Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Configuration-aware optimization; Pareto-base configuration search; Quantization; Fine-tuning; including LLMs
2745	Once-More: Continuous Self-Correction for Large Language Models via Perplexity-Guided Intervention Authors: Jiaxun Gao; Him Wai Ng; Z. Jane Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Natural Language Processing; Self-Correction; Agent; Guided Generation; Post-Hoc Refinement; including LLMs
2746	One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration Authors: Zaid Khan; Archiki Prasad; Elias Stengel-Eskin; Jaemin Cho; Mohit Bansal Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: world modeling; programmatic RL; probabilistic program; symbolic rule learning; intrinsically motivated and open-ended learning; including LLMs
2747	Online Black-Box Prompt Optimization with Regret Guarantees under Noisy Feedback Authors: Jinjie Fang; Runwen You; Wanli Shi; Wenkang Wang; Ganyu Wang; Haozhen Zhang; Yi Chang; Bin Gu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Black-Box Prompt Optimization; Online Learning; Generative Al; including LLMs
2748	OptimSyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation Authors: Zhiting Fan; Ruizhe Chen; Tianxiang Hu; Ru Peng; Zenan Huang; Haokai Xu; Yixin Chen; Jian Wu; Junbo Zhao; Zuozhu Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; data synthetic; instruction tuning; including LLMs
2749	Optimal Aggregation of LLM and PRM Signals for Efficient Test-Time Scaling Authors: Peng Kuang; Yanli Wang; Xiaoyu Han; Yaowenqi Liu; Kaidi Xu; Haohan Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: test-time scaling; process reward models; including LLMs
2750	Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs Authors: Hang Guo; Luca Benini; Yawei Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Quantization; Pruning; LLMs; including LLMs
2751	OptimalThinkingBench: Evaluating Over and Underthinking in LLMs Authors: Pranjal Aggarwal; Seungone Kim; Jack Lanchantin; Sean Welleck; Jason E Weston; Ilia Kulikov; Swarnadeep Saha Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reasoning llms; overthinking; underthinking; evaluation; benchmark; including LLMs
2752	P$^2$-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization Authors: Ruipeng Zhang; Zhihao Li; Haozhang Yuan; C.L.Philip Chen; Tong Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; MLLMs; Hallucination; DPO; including LLMs
2753	PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery Authors: Bowei He; Lihao Yin; Hui-Ling Zhen; Xiaokun Zhang; Mingxuan Yuan; Chen Ma Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Model Pruning; Large Language Model; Data Selection; Efficient Recovery; including LLMs
2754	PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning Authors: Zeming Chen; Angelika Romanou; Gail Weiss; Antoine Bosselut Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: test-time learning; long-context reasoning; meta-learning; reasoning algorithm; length extrapolation; including LLMs
2755	PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models Authors: Soufiane Hayou; Nikhil Ghosh; Bin Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient Finetuning of Large Language Models; LoRA; including LLMs
2756	PRISM: Festina Lente Proactivity—Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents Authors: Yuxuan Fu; Xiaoyu Tan; Teqi Hao; Chen Zhan; Xihe Qiu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Proactive Agents; Uncertainty Estimation; Cost-Sensitive Learning; Adaptive Computation; Calibration; Knowledge Distillation; including LLMs
2757	PROS: Towards Compute-Efficient RLVR via Rollout Prefix Reuse Authors: Baizhou Huang; Xiaojun Wan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RLVR; reasoning; including LLMs
2758	Parallel Token Prediction for Language Models Authors: Felix Draxler; Justus Will; Farrin Marouf Sofian; Theofanis Karaletsos; Sameer Singh; Stephan Mandt Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformer; autoregressive model; multi-token prediction; generative model; large language models; including LLMs
2759	Parallel-R1: Towards Parallel Thinking via Reinforcement Learning Authors: Tong Zheng; Hongming Zhang; Wenhao Yu; Xiaoyang Wang; He Xing; Runpeng Dai; Rui Liu; Huiwen Bao; Chengsong Huang; Heng Huang; Dong Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reasoning Paradigms; Parallel Thinking; RL; LLM; including LLMs
2760	ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs Authors: Wonjun Kang; Kevin Galim; Seunghyuk Oh; Minjae Lee; Yuchen Zeng; Shuibai Zhang; Coleman Richard Charles Hooper; Yuezhou Hu; Hyung Il Koo; Nam Ik Cho; Kangwook Lee Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: diffusion LLMs; parallel decoding; benchmark; including LLMs
2761	ParoQuant: Pairwise Rotation Quantization for Efficient Reasoning LLM Inference Authors: Yesheng Liang; Haisheng Chen; Song Han; Zhijian Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: quantization; large language models; model compression; including LLMs
2762	Part-X-MLLM: Part-aware 3D Multimodal Large Language Model Authors: Chunshi Wang; Junliang Ye; Yunhan Yang; YANG LI; Zizhuo Lin; Jun Zhu; Zhuo Chen; Yawei Luo; Chunchao Guo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: 3D Computer Vision; 3D Vision-language Modeling; Part-aware 3D understanding; Multimodal Large Language Model; including LLMs
2763	Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation Authors: Bowei He; Yankai Chen; Xiaokun Zhang; Linghe Kong; Philip S. Yu; Xue Liu; Chen Ma Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Data Synthesis; Large Language Model; Knowledge Distillation; including LLMs
2764	PerFit: Exploring Personalization Shifts in Representation Space of LLMs Authors: Jiahong Liu; Wenhao Yu; Quanyu Dai; Zhongyang Li; Jieming Zhu; Menglin Yang; Tat-Seng Chua; Irwin King Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Personalization; Large Language Models; including LLMs
2765	Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward Authors: Tong Xiao; Xin Xu; Zhenya Huang; Hongyu Gao; Quan Liu; Qi Liu; Enhong Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Multimodal Reasoning; Reinforcement Learning; including LLMs
2766	Pi-CCA: Prompt-Invariant CCA Certificates for Replay-Free Continual Multimodal Learning Authors: Jiayu Zhang; Chuangxin Zhao; Canran Xiao; Ruibo Duan; Wenyi Mo; Haoyu Gao; Wenshuo Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: vision–language learning; VQA; replay-free; including LLMs
2767	Pitfalls in Evaluating Language Model Forecasters Authors: Daniel Paleka; Shashwat Goel; Jonas Geiping; Florian Tramèr Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: forecasting; evaluation; criticism; leakage; standards; LLMs; prediction; future; benchmarks; including LLMs
2768	Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models Authors: Junhong Lin; Xinyue Zeng; Jie Zhu; Song Wang; Julian Shun; Jun Wu; Dawei Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Test-Time Compute; Reasoning; Effectiveness; Efficiency; including LLMs
2769	Plan-Answer-Refine-on-Graph: Structured Planning and Self-Refinement for Large Language Model Reasoning on Knowledge Graphs Authors: Yuxin Shi; Han Fu; Zhuo Li; Chenghao Liu; Xiaoxue Ren; Jianling Sun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Knowledge Graphs; Large Language Models; Question Answering; including LLMs
2770	Planned Diffusion Authors: Daniel Mingyi Israel; Tian Jin; Ellie Y Cheng; Guy Van den Broeck; Aditya Grover; Suvinay Subramanian; Michael Carbin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: diffusion; LLM; parallel generation; fast inference; autoregressive; planning; hybrid model; including LLMs
2771	PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction For Continual Learning Authors: Simon Yu; Gang Li; Weiyan Shi; Peng Qi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Skill Induction; Agent; Polymorphism; Continual Learning; Large Language Models; including LLMs
2772	PonderLM: Pretraining Language Models to Ponder in Continuous Space Authors: Boyi Zeng; Shixiang Song; Siyuan Huang; Yixuan Wang; He Li; Ziwei He; Xinbing Wang; Zhiyu li; Zhouhan Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language modeling; pondering language models; pretraining; continuous embedding space; including LLMs
2773	Post-training Large Language Models for Diverse High-Quality Responses Authors: Yilei Chen; Souradip Chakraborty; Lorenz Wolf; Ioannis Paschalidis; Aldo Pacchiano Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language models; Diversity; Reinforcement learning; Post-training; including LLMs
2774	PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs Authors: Yixuan Wu; Yang Zhang; Jian Wu; Philip Torr; Jindong Gu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: multimodal grounding; MLLM hallucination; alignment; including LLMs
2775	Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning Authors: Kazuki Yano; Shun Kiyono; Sosuke Kobayashi; Sho Takase; Jun Suzuki Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Learning rate schedules; Large language models (LLMs); including LLMs
2776	Pre-training Limited Memory Language Models with Internal and External Knowledge Authors: Linxi Zhao; Sofian Zalouk; Christian Belardi; Justin Lovelace; Jin Peng Zhou; Ryan Thomas Noonan; Dongyoung Go; Kilian Q Weinberger; Yoav Artzi; Jennifer J. Sun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Pretrained Large Language Models; Knowledge Offloading; including LLMs
2777	Predicting LLM Reasoning Performance with Small Proxy Model Authors: Woosung Koh; Juyoung Suk; Sungjun Han; Se-Young Yun; Jay Shin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Models; Pre-training; Reasoning; Evaluation; Efficiency; including LLMs
2778	Predicting Training Re-evaluation Curves Enables Effective Data Curriculums for LLMs Authors: Shane Bergsma; Nolan Simran Dey; Joel Hestness Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: training re-evaluation curve; data curriculum / data placement; large language model (LLM) pre-training; AdamW EMA timescale; learning-rate schedules; tokens-p…
2779	PrefDisco: Benchmarking Proactive Personalized Reasoning Authors: Shuyue Stella Li; Avinandan Bose; Faeze Brahman; Simon Shaolei Du; Pang Wei Koh; Maryam Fazel; Yulia Tsvetkov Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Interactive Personalization; Test-time Reasoning; Information Seeking; Preference Alignment; Proactive Question Asking; including LLMs
2780	PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention Authors: Haonan Wang; Brian K Chen; Siquan Li; Liang Xinhe; Hwee Kuan Lee; Kenji Kawaguchi; Tianyang Hu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Fine-Tuning; including LLMs
2781	Pretrain Value, Not Reward: Decoupled Value Policy Optimization Authors: Chenghua Huang; Lu Wang; Fangkai Yang; Pu Zhao; Qingwei Lin; Dongmei Zhang; Saravan Rajmohan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; RLHF; Value Model; including LLMs
2782	Pretraining Scaling Laws for Generative Evaluations of Language Models Authors: Rylan Schaeffer; Noam Itzhak Levi; Brando Miranda; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language models; large language models; scaling laws; evaluations; generative evaluations; sampling; including LLMs
2783	Pretraining with hierarchical memories: separating long-tail and common knowledge Authors: Hadi Pouransari; David Grangier; C Thomas; Michael Kirchhof; Oncel Tuzel Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language models; pretraining; memory; long-tail; knowledge; reasoning; forgetting; including LLMs
2784	Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective Authors: Jingyang Ou; Jiaqi Han; Minkai Xu; Shaoxuan Xu; Jianwen Xie; Stefano Ermon; Yi Wu; Chongxuan Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: masked diffusion models; diffusion language models; reinforcement learning; GRPO; dLLMs; including LLMs
2785	Prior-based Noisy Text Data Filtering: Fast and Strong Alternative For Perplexity Authors: Yeongbin Seo; Gayoung Kim; Jaehyung Kim; Jinyoung Yeo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; large language models; pretraining; data filtering; data pruning; including LLMs
2786	Probing Rotary Position Embeddings through Frequency Entropy Authors: Yui Oka; Kentaro Hanafusa; Taku Hasegawa; Kyosuke Nishida; Kuniko Saito Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Rotary Position Embedding; Frequency Entropy; Large Language Model; including LLMs
2787	Probing to Refine: Reinforcement Distillation of LLM Reasoners via Explanatory Inversion Authors: Zhen Tan; Chengshuai Zhao; Song Wang; Jundong Li; Tianlong Chen; huan liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Knowledge Distillation; including LLMs
2788	Programming by Backprop: An Instruction is Worth 100 Examples When Finetuning LLMs Authors: Jonathan Cook; Silvia Sapora; Arash Ahmadian; Akbir Khan; Tim Rocktäschel; Jakob Nicolaus Foerster; Laura Ruis Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Abstraction; Procedural Knowledge; including LLMs
2789	Programming with Pixels: Can Computer-Use Agents do Software Engineering? Authors: Pranjal Aggarwal; Sean Welleck Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: computer-use agents; evaluation; benchmark; code-generation; multimodal; including LLMs
2790	Prompt-MII: Meta-Learning Instruction Induction for LLMs Authors: Emily Xiao; Yixiao Zeng; Ada Chen; Chin-Jou Li; Amanda Bertsch; Graham Neubig Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Instruction Induction; Prompt Generation; Prompt Optimization; Reinforcement Learning; Task Adaptation; Large Language Models; including LLMs
2791	ProofOptimizer: Training Language Models to Simplify Proofs without Human Demonstrations Authors: Alex Gu; Bartosz Piotrowski; Fabian Gloeckle; Kaiyu Yang; Aram H. Markosyan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: ai for math; proof simplification; including LLMs
2792	Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs? Authors: Haizhong Zheng; Jiawei Zhao; Beidi Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Off-policy RL; LLM; Reasoning; including LLMs
2793	ProtoKV: Long-context Knowledges Are Already Well-Organized Before Your Query Authors: Zhiyuan Yu; Shijian Xiao; Zhangyue Yin; Xiaoran Liu; Lekai Xing; Wenzhong Li; Nguyen Cam-Tu; Sanglu Lu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; KV Cache; including LLMs
2794	Provable and Practical In-Context Policy Optimization for Self-Improvement Authors: Tianrun Yu; yuxiao Yang; Zhaoyang Wang; Kaixiang Zhao; Porter Jenkins; Xuchao Zhang; Chetan Bansal; Huaxiu Yao; Weitong Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: in-context learning; self-reflection; policy optimization; FTRL; bandits; large language models; reasoning; including LLMs
2795	Proximal Supervised Fine-Tuning Authors: Wenhong Zhu; Ruobing Xie; Rui Wang; Xingwu Sun; Di Wang; Pengfei Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: SFT; generalization; language models; vision language models; including LLMs
2796	Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization Authors: Bin Hong; Jiayu Liu; Kai Zhang; Jianwen Sun; Mengdi Zhang; Zhenya Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Large Reasoning Models; including LLMs
2797	Pursuing Minimal Sufficiency in Spatial Reasoning Authors: Yejie Guo; Yunzhong Hou; Wufei Ma; Meng Tang; Ming-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: spatial reasoning; agent; VLM; including LLMs
2798	Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought Authors: Guijin Son; Donghun Yang; Hitesh Laxmichand Patel; Amit Agarwal; Hyunwoo Ko; Chanuk lim; Srikant Panda; Minhyuk Kim; Nikunj drolia; Dasol Choi; Kyong-Ha Lee; Youngjae Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multilingual; Math; Reasoning; including LLMs
2799	QKV Projections Require a Fraction of Their Memory Authors: Malik Khalaf; Yara Shamshoum; Nitzan Hodos; Yuval Sieradzki; Assaf Schuster Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Memory Efficient Training; Pre-training; Finetuning; Approximate Matrix Multiplication; Compressed Activations; including LLMs
2800	QUEST: A robust attention formulation using query-modulated spherical attention Authors: Hariprasath Govindarajan; Per Sidén; Jacob Roll; Fredrik Lindsten Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: attention; transformers; model robustness; including LLMs
2801	QuRL: Low-Precision Reinforcement Learning for Efficient Reasoning Authors: Yuhang Li; Reena Elangovan; Xin Dong; Priyadarshini Panda; Brucek Khailany Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Quantization; including LLMs
2802	QuRL: Rubrics As Judge For Open-Ended Question Answering Authors: Xiyu Wei; Qingwei Zong; Xiaoguang Li; Eugene J. Yu; Sujian Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: rubrics; reinforcement-learning; open-ended qa; large language model; generation; including LLMs
2803	Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead Authors: Feiyang Kang; Michael Kuchnik; Karthik Padthe; Marin Vlastelica; Ruoxi Jia; Carole-Jean Wu; Newsha Ardalani Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Post-Training; Large Reasoning Models; Large Language Models; Performance Prediction; Reinforcement Learning with Verifiable Rewards; including LLMs
2804	QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation Authors: Jiazheng Li; Hongzhou Lin; Hong Lu; Kaiyue Wen; Zaiwen Yang; Jiaxuan Gao; Yi Wu; Jingzhao Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Reinforcement Learning; including LLMs
2805	QuoKA: Query-Oriented KV Selection for Efficient LLM Prefill Authors: Dalton Jones; Junyoung Park; Matthew J Morse; Mingu Lee; Matthew Harper Langston; Christopher Lott Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient LLM Inference; LLM Prefill Acceleration; Sparse Attention; KV Cache Subselection; Training-Free; including LLMs
2806	R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? Authors: Yi Lu; Jianing Wang; Linsen Guo; Wei He; Hongyin Tang; Tao Gui; Xuanjing Huang; Xuezhi Cao; Wei Wang; Xunliang Cai Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Reasoning Models; Long Horizon Reasoning; including LLMs
2807	R-Zero: Self-Evolving Reasoning LLM from Zero Data Authors: Chengsong Huang; Wenhao Yu; Xiaoyang Wang; Hongming Zhang; Zongxia Li; Ruosen Li; Jiaxin Huang; Haitao Mi; Dong Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; reinforcement learning; self-evolving; reasoning; including LLMs
2808	R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning Authors: Yongchao Chen; Yueying Liu; Junwei Zhou; Yilun Hao; Jingquan Wang; Yang Zhang; Na Li; Chuchu Fan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Code Interpreter; Reinforcement Learning; Curriculum Learning; Symbolic Reasoning; Tool Use; including LLMs
2809	RACE Attention: A Strictly Linear-Time Attention Layer for Training on Outrageously Large Contexts Authors: Sahil Joshi; Agniva Chowdhury; Amar Kanakamedala; Ekam Singh; Evan Tu; Anshumali Shrivastava Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Sketching; Locality Sensitive Hashing; RACE; Attention; Linear; Transformers; including LLMs
2810	RADAR: Reasoning-Ability and Difficulty-Aware Routing for Reasoning LLMs Authors: Nigel Fernandez; Branislav Kveton; Ryan A. Rossi; Andrew Lan; Zichao Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: routing; adaptive reasoning; item response theory; reasoning models; large language models; including LLMs
2811	RAR: Reversing Visual Attention Re-Sinking for Unlocking Potential in Multimodal Large Language Models Authors: Zhehan Kan; Xin Li; Yanlin Liu; Xiaochen Yang; Xinghua Jiang; Yinsong Liu; Deqiang Jiang; Xing Sun; Qingmin Liao; Wenming Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: MLLMs; visual attention sink; including LLMs
2812	RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation Authors: Pengcheng Jiang; Lang Cao; Ruike Zhu; Minhao Jiang; Yunyi Zhang; Jiaming Shen; Jimeng Sun; Jiawei Han Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RAG; Large Language Models; Question Answering; Knowledge Graphs; Graph LLM; including LLMs
2813	RCPU: Rotation-Constrained Error Compensation for Structured Pruning of Large Language Models Authors: Shuichiro Haruta; Kazunori Matsumoto; Zhi Li; Yanan Wang; Mori Kurokawa Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Compression; Pruning; including LLMs
2814	REAP the Experts: Why Pruning Prevails for One-Shot MoE compression Authors: Mike Lasby; Ivan Lazarevich; Nish Sinnadurai; Sean Lie; Yani Ioannou; Vithursan Thangarasa Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: mixture-of-experts; moe; compresson; expert pruning; expert merging; merging; pruning; LLM; evaluation; including LLMs
2815	RESA: Bringing Back What Sparse Attention Ignores with Residual Estimation Authors: Weihao Yang; Hao Huang; Ningke Li; Shihao Wang; Darong Yang; Yanqi Pan; Wen Xia; Shiyi Li; Xiangyu Zou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Sparse Attention; Attention Redundancy; Low-rank Approximation; including LLMs
2816	RESTRAIN: From Spurious Votes to Signals — Self-Training RL with Self-Penalization Authors: ZHAONING YU; Zhaolun Su; Leitian Tao; Haozhu Wang; Aashu Singh; Hanchao Yu; Jianyu Wang; Hongyang Gao; Weizhe Yuan; Jason E Weston; Ping Yu; Jing Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; self-training; RL; unsupervised learning; self-penalization; including LLMs
2817	RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy Authors: Zhonghan Zhao; Wenwei Zhang; Haian Huang; Kuikun Liu; Jianfei Gao; Gaoang Wang; Kai Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-modal Embodied Agent; Unified Generative Model; Auto-Regressive World Model; including LLMs
2818	RL Grokking Recipe: How Does RL Unlock and Transfer New Algorithms in LLMs? Authors: Yiyou Sun; Yuhan Cao; Pohao Huang; Haoyue Bai; Hannaneh Hajishirzi; Nouha Dziri; Dawn Song Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; Generalization; Learnability; including LLMs
2819	RL for Reasoning by Adaptively Revealing Rationales Authors: Mohammad Hossein Amani; Aryo Lotfi; Nicolas Baldwin; Samy Bengio; Mehrdad Farajtabar; Emmanuel Abbe; Robert West Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reasoning; reinforcement learning; curriculum learning; sequence modeling; including LLMs
2820	RL makes MLLMs see better than SFT Authors: Junha Song; Sangdoo Yun; Dongyoon Han; Jaegul Choo; Byeongho Heo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal LLM; Reinforcement Learning; Vision Model; Visual representation; including LLMs
2821	RL's Razor: Why Online Reinforcement Learning Forgets Less Authors: Idan Shenfeld; Jyothish Pari; Pulkit Agrawal Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Large Language Models; Catastrophic Forgetting; including LLMs
2822	RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks Authors: Mian Wu; Gavin Zhang; Sewon Min; Sergey Levine; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; reinforcement learning; dynamic critics; language model post-training; open-ended generation; including LLMs
2823	RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems Authors: Yuxiao Qu; Anikait Singh; Yoonho Lee; Amrith Setlur; Ruslan Salakhutdinov; Chelsea Finn; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reasoning abstractions; LLM; RL; Structured exploration; Reasoning; including LLMs
2824	RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards Authors: Zhilin Wang; Jiaqi Zeng; Olivier Delalleau; Ellie Evans; Daniel Egert; Hoo-Chang Shin; Felipe Soares; Yi Dong; Oleksii Kuchaiev Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reward modeling; model alignment; inference-time control; customization; LLM post-training; including LLMs
2825	RLP: Reinforcement as a Pretraining Objective Authors: Ali Hatamizadeh; Syeda Nahida Akter; Shrimai Prabhumoye; Jan Kautz; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Pretraining; Reasoning; Large Language Models; including LLMs
2826	RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents Authors: Zijing Zhang; Ziyang Chen; Mingxiao Li; Zhaopeng Tu; Xiaolong Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; RL; Agent; including LLMs
2827	RM-R1: Reward Modeling as Reasoning Authors: Xiusi Chen; Gaotang Li; Ziqi Wang; Bowen Jin; Cheng Qian; Yu Wang; Hongru WANG; Yu Zhang; Denghui Zhang; Tong Zhang; Hanghang Tong; Heng Ji Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reward Model; Reasoning; Reinforcement Learning; including LLMs
2828	Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards Authors: Haoran He; Yuxiao Ye; Qingpeng Cai; Chen Hu; Binxing Jiao; Daxin Jiang; Ling Pan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Reinforcement Learning; RLVR; Math Reasoning; Diversity; including LLMs
2829	Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning Authors: Yaochen Zhu; Harald Steck; Dawen Liang; Yinhan He; Vito Claudio Ostuni; Jundong Li; Nathan Kallus Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Conversational recommender system; Reinforcement learning with Verifiable Reward; including LLMs
2830	ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding Authors: Jia-Nan Li; Jian Guan; Wei Wu; Chongxuan Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: diffusion; autoregressive; large language model; including LLMs
2831	ReTool: Reinforcement Learning for Strategic Tool Use in LLMs Authors: Jiazhan Feng; Shijue Huang; Xingwei Qu; Ge Zhang; Yujia Qin; Baoquan Zhong; Chengquan Jiang; Jinxin Chi; Wanjun Zhong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Agent; including LLMs
2832	ReVeal: Self-Evolving Code Agents via Reliable Self-Verification Authors: Yiyang Jin; Kunzhao Xu; Hang Li; Xueting Han; Yanmin Zhou; Cheng Li; Jing Bai Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Reinforcement Learning; Code LLM; multi-turn RL; including LLMs
2833	Real-Time Reasoning Agents in Evolving Environments Authors: Yule Wen; Yixin Ye; Yanzhe Zhang; Diyi Yang; Hao Zhu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Real-time reasoning; Language model agents; Parallel reasoning architecture; including LLMs
2834	Reasoning Scaffolding: Distilling the Flow of Thought from LLMs Authors: Xiangyu Wen; Junhua Huang; Zeju Li; Min Li; Jianyuan Zhong; Zhijian Xu; Mingxuan Yuan; Yongxiang Huang; Qiang Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning Distillation; Large Reasoning Model; Reasoning Scaffolding; Semantic Signals; including LLMs
2835	Reasoning in Space via Grounding in the World Authors: Yiming Chen; Zekun Qi; Wenyao Zhang; Xin Jin; Li Zhang; Peidong Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: 3d spatial reasoning; 3d visual grounding; including LLMs
2836	Reasoning-Aligned Perception Decoupling for Scalable Multi-modal Reasoning Authors: Yunhao Gou; Kai Chen; Zhili Liu; Lanqing HONG; Xin Jin; Zhenguo Li; James Kwok; Yu Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: MLLM; multi-modal; reasoning; including LLMs
2837	Reassessing Layer Pruning in LLMs: New Insights and Methods Authors: Yao Lu; Hao Cheng; Yujie Fang; Zeyu Wang; Jiaheng Wei; Dongwei Xu; Qi Xuan; Zhaowei Zhu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Layer Pruning; Model Compression; including LLMs
2838	Rectifying LLM Thought from Lens of Optimization Authors: Junnan Liu; Hongwei Liu; Songyang Zhang; Kai Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Lanugae Model; Large Lanugae Model Reasoning; Reinforcement Learning with Verifiable Rewards; including LLMs
2839	RefTool: Reference-Guided Tool Creation for Knowledge-Intensive Reasoning Authors: Xiao Liu; Da Yin; Zirui Wu; Yansong Feng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Tool Creation; Tool-Augmented Reasoning; including LLMs
2840	Reformulation for Pretraining Data Augmentation Authors: Xintong Hao; Rui-Jie Zhu; Ge Zhang; Ke Shen; Chenggang Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Data Augmentation; Synthetic Pretraining Data; including LLMs
2841	RegionReasoner: Region-Grounded Multi-Round Visual Reasoning Authors: Wenfang Sun; Hao Chen; Yingjun Du; Yefeng Zheng; Cees G. M. Snoek Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large vision-language models multi-round visual reasoning; including LLMs
2842	Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs Authors: Xumeng Wen; Zihan Liu; Shun Zheng; Shengyu Ye; Zhirong Wu; Yang Wang; Zhijian Xu; Xiao Liang; Junjie Li; Ziming Miao; Jiang Bian; Mao Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; reasoning; reinforcement learning; including LLMs
2843	Reinforcing General Reasoning Without Verifiers Authors: Xiangxin Zhou; Zichen Liu; Anya Sims; Haonan Wang; Tianyu Pang; Chongxuan Li; Liang Wang; Min Lin; Chao Du Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: General Reasoning; Reinforcement Learning; Large Language Models; including LLMs
2844	Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data Authors: Rishabh Ranjan; Valter Hudovernik; Mark Znidar; Charilaos I. Kanatsoulis; Roshan Reddy Upendra; Mahmoud Mohammadi; Joe Meyer; Tom Palczewski; Carlos Guestrin; Jure Leskovec Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: foundation models; relational deep learning; relational data; transformer; including LLMs
2845	Reliable Fine-Grained Evaluation of Natural Language Math Proofs Authors: Wenjie Ma; Andrei Cojocaru; Neel Kolhe; Haihan Zhang; Vincent Zhuang; Matei Zaharia; Sewon Min Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: automated proof evaluation; LLM-as-a-judge; LLM-generated math proofs; rubric-guided grading; prompt optimization; expert-annotated proof dataset; evaluator re…
2846	RepSpec: Structural Re-parameterized Draft Model Training for Speculative Decoding Authors: Feiye Huo; Jianchao Tan; Jiahao Liu; Zixu Jiang; Jiacheng Li; Jingang Wang; Xunliang Cai; Shengli Sun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reparameterization; Speculative Decoding; including LLMs
2847	ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models Authors: Zihan Lin; Xiaohan Wang; Jie Cao; Jiajun Chai; Guojun Yin; Wei Lin; Ran He Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Token-level Policy Gradients Reshape; Tool-use Large Language Model; Entropy-aware; Reinforcement Learning; Reasoning Model; including LLMs
2848	Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement Authors: Chenyu Lin; Yilin Wen; Du Su; Hexiang Tan; Fei Sun; Muhan Chen; Chenfu Bao; Zhonghou Lv Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Retrieval-Augmented Generation; Reinforcement Learning; including LLMs
2849	Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models Authors: Yi Ding; Lijun Li; Bing Cao; Jing Shao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Vision Language Models; Multi-Image Safety; Dataset; Safety Fine-Tuning; including LLMs
2850	Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods Authors: Wanru Zhao; Yihong Chen; Yuzhi Tang; Wentao Ma; Shengchao Hu; Shell Xu Hu; Alex Iacob; Abhinav Mehrotra; Nicholas D. Lane Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Data Selection; Data Mixing; Data Curation; Large Language Models; including LLMs
2851	Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data? Authors: Shaobo Wang; Cong Wang; Wenjie Fu; Yue Min; Mingquan Feng; Isabel Guan; Xuming Hu; Conghui He; Cunxiang Wang; Kexin Yang; Xingzhang Ren; Fei Huang; Dayiheng Liu; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Data Selection; Data Pruning; Large Language Model; Benchmark Compression; including LLMs
2852	Rethinking LLM Reasoning: From Explicit Trajectories to Latent Representations Authors: Cong Jiang; Xiaofeng Zhang; Fangzhi Zhu; XiaoWei Chen; Junxiong Zhu; Zheng Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; efficient reasoning; including LLMs
2853	Rethinking Residual Errors in Compensation-based LLM Quantization Authors: Shuaiting Li; Juncan Deng; Kedong Xu; Rongtao Deng; Hong Gu; Minghan Jiang; Haibin Shen; Kejie Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Quantization; including LLMs
2854	Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts Authors: Ammar Ahmed; Azal Ahmad Khan; Ayaan Ahmad; Sheng Di; Zirui Liu; Ali Anwar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient Reasoning; Large Reasoning Models; Retrieval Augmented Language Models; including LLMs
2855	Retrospective Sparse Attention for Efficient Long-Context Generation Authors: Seonghwan Choi; Beomseok Kang; Dongwon Jo; Jae-Joon Kim Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Long Generation; KV Cache; Compression; including LLMs
2856	Reusing Pre-Training Data at Test Time is a Compute Multiplier Authors: Alex Fang; Thomas Voice; Ruoming Pang; Ludwig Schmidt; Tom Gunter Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: datasets; pretraining; pre-training; retrieval; llm; llms; test time compute; including LLMs
2857	Reverse-Engineered Reasoning for Open-Ended Generation Authors: Haozhe Wang; Haoran Que; Qixin Xu; Minghao Liu; Wangchunshu Zhou; Jiazhan Feng; Wanjun Zhong; Wei Ye; Tong Yang; Wenhao Huang; Ge Zhang; Fangzhen Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reasoning; open-ended generation; synthetic data; including LLMs
2858	Reversible Primitive–Composition Alignment for Continual Vision–Language Learning Authors: Canran Xiao; Tianxiang Xu; siyuanma; Yiyang Jiang; Haoyu Gao; Yuhan Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: continual learning; vision-language models; catastrophic forgetting; including LLMs
2859	Revisiting Long-context Modeling from Context Denoising Perspective Authors: Zecheng Tang; Baibei Ji; Juntao Li; Lijun Wu; Haijia Gui; Min Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Modeling; Long-context Understanding; including LLMs
2860	Revisiting Multimodal Positional Encoding in Vision–Language Models Authors: Jie Huang; Xuejing Liu; Sibo Song; RuiBing Hou; Hong Chang; Junyang Lin; Shuai Bai Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision-Language Models; Multimodal Position Encoding; including LLMs
2861	Revisiting the Past: Data Unlearning with Model State History Authors: Keivan Rezaei; Mehrdad Saberi; Abhilasha Ravichander; Soheil Feizi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: machine unlearning; large language models; including LLMs
2862	Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training Authors: Jakub Krajewski; Amitis Shidani; Dan Busbridge; Sam Wiseman; Jason Ramapuram Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Downstream Metrics; Pretraining; Evaluation; Benchmarks; LLM; including LLMs
2863	Revisual-R1: Advancing Multimodal Reasoning From Optimized Cold Start to Staged Reinforcement Learning Authors: Shuang Chen; Hangyu Guo; Zhaochen Su; Yafu Li; Jiacheng Chen; Yulun Wu; Weijie Wang; ZhiYuan Feng; Xiaoye Qu; Yu Cheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Reasoning; Multimodal Reinforcement Learning; including LLMs
2864	Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models Authors: Yinjie Wang; Ling Yang; Bowen Li; Ye Tian; Ke Shen; Mengdi Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion Language Models; Reinforcement Learning; including LLMs
2865	Reward Is Enough: LLMs Are In-Context Reinforcement Learners Authors: Kefan Song; Amir Moeini; Peng Wang; Lei Gong; Rohan Chandra; Shangtong Zhang; Yanjun Qi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Test-Time Scaling; Inference-Time Improvement; LLMs; RL; including LLMs
2866	Reward Model Routing in Alignment Authors: Xinle Wu; Yao Lu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-armed bandits; Preference optimization; Reward model; Online DPO; including LLMs
2867	Reward Models Inherit Value Biases from Pretraining Authors: Brian Christian; Jessica A F Thompson; Elle; Vincent Adam; Hannah Rose Kirk; Christopher Summerfield; Tsvetomira Dumbalska Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reward models; value alignment; finetuning; preference learning; large language models; RLHF; AI safety; bias; pretraining; including LLMs
2868	Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models Authors: David Bani-Harouni; Chantal Pellegrini; Paul Stangel; Ege Özsoy; Kamilia Zaripova; Nassir Navab; Matthias Keicher Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Confidence Calibration; Uncertainty Estimation; Large Language Models; including LLMs
2869	Risk-Sensitive Reinforcement Learning for Alleviating Exploration Dilemmas in Large Language Models Authors: Yuhua Jiang; Jiawei Huang; Yufeng Yuan; Xin Mao; YuYue; Qianchuan Zhao; Lin Yan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RLVR; Large Language Model; Reinforcement Learning; Pass@k Optimization; including LLMs
2870	Robust LLM Unlearning via Post Judgment and Multi-round Thinking Authors: Xinrui Chen; Xu Cao; Jianhao Zhang; Pinlong Zhao; Di Gao; Ou Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Unlearning; Adversarial Robustness; AI Safety; including LLMs
2871	Robust Multi-Objective Controlled Decoding of Large Language Models Authors: Seongho Son; William Bankes; Sangwoong Yoon; Shyam Sundhar Ramesh; Xiaohang Tang; Ilija Bogunovic Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Inference-time Alignment; Robustness; including LLMs
2872	Robust Reward Modeling via Causal Rubrics Authors: Pragya Srivastava; Harman Singh; Rahul Madhavan; Gandharv Patil; Sravanti Addepalli; Arun Suggala; Rengarajan Aravamudhan; Soumya Sharma; Anirban Laha; Aravindan Raghuveer; Karthi… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reward Modeling; Reward Hacking; Alignment; Post training LLMs; RLHF; including LLMs
2873	Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs Authors: Qinyuan Wu; Soumi Das; Mahsa Amani; Bishwamittra Ghosh; Mohammad Aflah Khan; Krishna P. Gummadi; Muhammad Bilal Zafar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: generalization; continual learning; fine-tuning; memorization; including LLMs
2874	Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs Authors: Zhongyang Li; Ziyue Li; Tianyi Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Mixture of Experts; Manifold Regularization; including LLMs
2875	Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains Authors: Anisha Gunjal; Anthony Wang; Elaine Lau; Vaskar Nath; Yunzhong He; Bing Liu; Sean M. Hendryx Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: representation learning for language; datasets and benchmarks; reward modeling; reinforcement learning; natural langauge processing; large language models; rea…
2876	RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling Authors: Yang Liu; Jiaqi Li; Zilong Zheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: logical reasoning; rule-based reasoning; reinforcement learning; language models; including LLMs
2877	SAE as a Crystal Ball: Interpretable Features Predict Cross-domain Transferability of LLMs without Training Authors: Qi Zhang; Yifei Wang; Xiaohan Wang; Jiajun Chai; Guojun Yin; Wei Lin; Yisen Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Post-training; Transferability; Sparse Autoencoder; Large Language Models; including LLMs
2878	SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-based LLM Compression Authors: Xing Hu; Dawei Yang; Yuan Cheng; Zhixuan Chen; Zukang Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: SVD Compression; Large Language Models; including LLMs
2879	SAM 3: Segment Anything with Concepts Authors: Nicolas Carion; Laura Gustafson; Yuan-Ting Hu; Shoubhik Debnath; Ronghang Hu; Didac Suris Coll-Vinent; Chaitanya Ryali; Kalyan Vasudev Alwala; Haitham Khedr; Andrew Huang; Jie Lei… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: foundation models; open vocabulary segmentation; semantic instance segmentation; object tracking; including LLMs
2880	SCI-Verifier: Scientific Verifier with Thinking Authors: Shenghe Zheng; Chenyu Huang; Fangchen Yu; Junchi Yao; Jingqi Ye; Tao Chen; Yun Luo; Ning Ding; LEI BAI; Ganqu Cui; Peng Ye Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM-as-a-judge; Large Language Model; including LLMs
2881	SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning Authors: Shicheng Liu; Kai Sun; Lisheng Fu; Xilun Chen; Xinyuan Zhang; Zhaojiang Lin; Rulin Shao; Yue Liu; Anuj Kumar; Wen-tau Yih; Xin Luna Dong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Semi-Structured Data; Reinforcement Learning; Information Extraction; including LLMs
2882	SELF-HARMONY: LEARNING TO HARMONIZE SELF-SUPERVISION AND SELF-PLAY IN TEST-TIME REINFORCEMENT LEARNING Authors: Ru Wang; Wei Huang; Qi Cao; Yusuke Iwasawa; Yutaka Matsuo; Jiaxian Guo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; Test-time reinforcement learning; test-time adaptation; self-play; pseudo labeling; infomax; including LLMs
2883	SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs Authors: Jiacheng Lin; Zhongruo Wang; Kun Qian; Tian Wang; Arvind Srinivasan; Hansi Zeng; Ruochen Jiao; Xie Zhou; Jiri Gesi; Dakuo Wang; Yufan Guo; Kai Zhong; Weiqi Zhang; sujay sanghavi;… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Supervised Finetuning; Domain-specific SFT; Continual Learning; including LLMs
2884	SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA Authors: Jianmin Liu; Li Yan; Borui Li; Lei Yu; Chao Shen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Foundation models; LoRA; Homomorphic Encryption; including LLMs
2885	SIM-CoT: Supervised Implicit Chain-of-Thought Authors: Xilin Wei; Xiaoran Liu; Yuhang Zang; Xiaoyi Dong; Yuhang Cao; Jiaqi Wang; Xipeng Qiu; Dahua Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Chain-of-Thought; large language model; math reasoning; including LLMs
2886	SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback Authors: Yaoning Yu; Ye Yu; Peiyan Zhang; Kai Wei; Haojing Luo; Haohan Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Synthetic Data; Prompt Optimization; including LLMs
2887	SLM-MUX: Orchestrating Small Language Models for Reasoning Authors: Chenyu Wang; Zishen Wan; Hao Kang; Emma Chen; Zhiqiang Xie; Tushar Krishna; Vijay Janapa Reddi; Yilun Du Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; small language models; including LLMs
2888	SPECS: Decoupling Multimodal Learning via Self-distilled Preference-based Cold Start Authors: Kun Chen; Peng Shi; Haibo Qiu; Zhixiong Zeng; Siqi Yang; Wenji Mao; Lin Ma Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Language Models; Reinforcement Learning; Reasoning; Cold-Start; Preference Optimization; Direct Preference Optimization (DPO); Self-Distillation; includ…
2889	SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models Authors: Chenyu Wang; Paria Rashidinejad; DiJia Su; Song Jiang; Sid Wang; Siyan Zhao; Cai Zhou; Shannon Zejiang Shen; Feiyu Chen; Tommi Jaakkola; Yuandong Tian; Bo Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Diffusion Language Models; Policy Gradient; including LLMs
2890	SPICE: Submodular Penalized Information–Conflict Selection for Efficient Large Language Model Training Authors: Powei Chang; Jinpeng Zhang; Bowen Chen; Chenyu Wang; Chenlu Guo; Yixing Zhang; Yukang Gao; JianXiang Xiang; Yue Gao; Chaoqun Sun; Yiyi Chen; Dongying kong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Data selection; Submodular; Log-determinant Fisher information; Instruction tuning; including LLMs
2891	SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning Authors: Bo Liu; Simon Yu; Zichen Liu; Leon Guertler; Penghui Qi; Daniel Balcells; Mickel Liu; Cheston Tan; Weiyan Shi; Min Lin; Wee Sun Lee; Natasha Jaques Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Self-Play; Large Language Models; Reasoning; Multi-Agent Reinforcement Learning; including LLMs
2892	SPRIG: Improving Large Language Model Performance by System Prompt Optimization Authors: Lechen Zhang; Tolga Ergen; Lajanugen Logeswaran; Moontae Lee; David Jurgens Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: prompting; system prompt; prompt optimization; including LLMs
2893	SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning Authors: Yuqian Fu; Tinghong Chen; Jiajun Chai; Xihuai Wang; Songjun Tu; Guojun Yin; Wei Lin; Qichao Zhang; Yuanheng Zhu; Dongbin Zhao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning; Reinforcement Learning; Supervised Reinforcement Fine-Tuning; including LLMs
2894	STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling Models Authors: Jiliang Ni; Jiachen Pu; Zhongyi Yang; Jingfeng Luo; Conggang Hu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Models; Knowledge Distillation; Reinforcement Learning; including LLMs
2895	STAT: Skill-Targeted Adaptive Training Authors: Yinghui He; Abhishek Panigrahi; Yong Lin; Sanjeev Arora Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: metacognition; out-of-distribution generalization; dataset reusability; skill-level training; including LLMs
2896	STEM: SCALING TRANSFORMERS WITH EMBEDDING MODULES Authors: Ranajoy Sadhukhan; Sheng Cao; Harry Dong; Changsheng Zhao; Attiano Purpura-Pontoniere; Yuandong Tian; Zechun Liu; Beidi Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Sparse Transformer; Parametric scaling; Embedding Layers; Foundation Models; Pre-training; Model Architecture; including LLMs
2897	SURGE: Surprise-Guided Token Reduction for Efficient Video Understanding with VLMs Authors: Chong Tang; Sannara Ek; Dirk Koch; Robert D. Mullins; Alex S. Weddell; Jagmohan Chauhan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient Video Understanding; Vision-Language Models; Token Pruning; Redundancy Reduction; Predictive Coding; including LLMs
2898	SWE-RM: Execution-free Feedback for Software Engineering Agents Authors: KaShun SHUM; Binyuan Hui; Jiawei Chen; Lei Zhang; X. W.; Jiaxi Yang; Yuzhen Huang; Junyang Lin; Junxian He Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Coding Agent; Reward Model; Test-time Scaling; Reinforcement Learning; including LLMs
2899	Sample Lottery: Unsupervised Discovery of Critical Instances for LLM Reasoning Authors: Zhiping Xiao; Yusheng Zhao; Qixin Zhang; Jiaye Xie; Wanjia Zhao; Weizhi Zhang; Xiao Luo; Philip S. Yu; Ming Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Reinforcement Learning with Verifiable Reward; including LLMs
2900	Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs Authors: Xueyan Li; Guinan Su; Mrinmaya Sachan; Jonas Geiping Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Sampler; model uncertainty; LLM reasoning; min-p; calibration; chain-of-thought; self-consistency; including LLMs
2901	Sapiens2 Authors: Rawal Khirodkar; He Wen; Julieta Martinez; Yuan Dong; Zhaoen Su; Shunsuke Saito Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: computer vision; human pose; segmentation; transformers; foundation models; including LLMs
2902	Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning Authors: Xichen Zhang; Sitong Wu; Yinghao Zhu; Haoru Tan; Shaozuo Yu; Ziyi He; Jiaya Jia Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning; Reinforcement Learning from Verifier Rewards; Mathematical Reasoning; including LLMs
2903	Scalable Chain of Thoughts via Elastic Reasoning Authors: Yuhui Xu; Hanze Dong; Lei Wang; Doyen Sahoo; Junnan Li; Caiming Xiong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Test time scaling; Large language models; Length control Abstract:; including LLMs
2904	ScaleCap: Scalable Image Captioning via Dual-Modality Debiasing Authors: Long Xing; Qidong Huang; Xiaoyi Dong; Pan Zhang; Yuhang Zang; Yuhang Cao; Jinsong Li; Shuangrui Ding; Weiming Zhang; Nenghai Yu; Jiaqi Wang; Feng Wu; Dahua Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Vision Language Model; Image Caption; including LLMs
2905	Scaling Agent Learning via Experience Synthesis Authors: Zhaorun Chen; Zhuokai Zhao; Kai Zhang; Bo Liu; Qi Qi; Yifan Wu; Tarun Kalluri; Xuefei Cao; Yuanhao Xiong; Haibo Tong; Huaxiu Yao; Hengduo Li; Jiacheng Zhu; Xian Li; Dawn Song; Bo… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Agent; Reinforcement Learning; Data Synthesis; including LLMs
2906	Scaling Agents via Continual Pre-training Authors: Liangcai Su; Zhen Zhang; Guangyu Li; Zhuo Chen; Chenxi Wang; Maojia Song; Xinyu Wang; Kuan Li; Jialong Wu; Xuanzhong Chen; Zile Qiao; Zhongwang Zhang; Huifeng Yin; Shihao Cai; Run… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Continual Pre-training; Deep Research Agent; Agentic Training; Data Synthesis; including LLMs
2907	Scaling Attention via Feature Sparsity Authors: Yan Xie; Tiansheng Wen; Tang Da Huang; Bo Chen; Chenyu You; Stefanie Jegelka; Yifei Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Self-Attention; Sparse Representation; including LLMs
2908	Scaling Behavior of Discrete Diffusion Language Models Authors: Dimitri von Rütte; Janis Fluri; Omead Pooladzandi; Bernhard Schölkopf; Thomas Hofmann; Antonio Orvieto Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: diffusion; discrete diffusion; diffusion language models; scaling; scaling laws; optimal batch size; critical batch size; including LLMs
2909	Scaling Generalist Data-Analytic Agents Authors: Shuofei Qiao; Yanqiu Zhao; Zhisong Qiu; Xiaobin Wang; Jintian Zhang; Zhao Bin; Ningyu Zhang; Yong Jiang; Pengjun Xie; Fei Huang; Huajun Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Data Analysis; LLM Agents; Agent Training; including LLMs
2910	Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs Authors: Song Bian; Tao Yu; Shivaram Venkataraman; Youngsuk Park Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Scaling Laws; Model Architecture; Inference-Efficient; including LLMs
2911	Scaling Laws for Diffusion Transformers Authors: Zhengyang Liang; Hao He; Ceyuan Yang; Bo Dai Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Scaling laws; diffusion models; transformers; including LLMs
2912	Scaling Linear Attention Capacity with Sparse State Expansion Authors: Yuqi Pan; Yongqi An; Zheng Li; Yuhong Chou; Rui-Jie Zhu; Xiaohui Wang; Mingxuan Wang; Jinqiao Wang; Guoqi Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Linear Attention; Language Model; including LLMs
2913	Scaling Synthetic Task Generation for Agents via Exploration Authors: Ram Ramrakhya; Andrew Szot; Omar Attia; Bogdan Mazoure; Anh Tuan Nguyen; Yuhao Yang; Zhe Gan; Harsh Agrawal; Alexander T Toshev Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: data science; embodied ai; agents; computer use agents; including LLMs
2914	Scaling with Collapse: Efficient and Predictable Training of LLM Families Authors: Shane Bergsma; Bin Claire Zhang; Nolan Simran Dey; Shaheer Muhammad; Gurpreet Gosal; Joel Hestness Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Training loss curve collapse; Compute-efficient LLM pre-training; Tokens-per-parameter (TPP); AdamW EMA timescale; Learning-rate schedules; Scale-stable dynami…
2915	Scheduling Your LLM Reinforcement Learning with Reasoning Trees Authors: Hong Wang; Zhezheng Hao; Jian Luo; Chenxing Wei; Yao Shu; Lei Liu; Cheaterlin; Hande Dong; Jiawei Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; RLVR; Data Scheduling; including LLMs
2916	Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning Authors: Nikhil Shivakumar Nayak; Krishnateja Killamsetty; Ligong Han; Abhishek Bhandwaldar; Prateek Chanda; Kai Xu; Oleg Silkin; Mustafa Eyceoz; Hao Wang; Aldo Pareja; Akash Srivastava Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Continual Learning; Parameter-Efficient Fine-Tuning; Full Fine-Tuning; Catastrophic Forgetting; Singular Value Decomposition; Geometric Constraints; Orthogonal…
2917	Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management Authors: Mo Li; L.H. Xu; Qitai Tan; Long Ma; Flood Sung; Ting Cao; Yunxin Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Long Context; Active Context Management; Tool Use; Proactive Interference; Reinforcement Learning; including LLMs
2918	SeeDNorm: Self-Rescaled Dynamic Normalization Authors: Wenrui Cai; Defa Zhu; Siyuan Qiao; Qingjie Liu; Qiyang Min Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Normalization Layers; including LLMs
2919	Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs Authors: Zhining Liu; Ziyi Chen; Hui Liu; Chen Luo; Xianfeng Tang; Suhang Wang; Jingying Zeng; Zhenwei Dai; Zhan Shi; Tianxin Wei; Hanqing Lu; Benoit Dumoulin; Hanghang Tong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Language Model; Multi-modal QA; Mechanistic Interpretability; including LLMs
2920	Segment-Level Attribution for Selective Learning of Long Reasoning Traces Authors: Siyuan Wang; Yanchen Liu; Xiang Ren Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: long CoTs; selective learning; integrated gradient; segment attributions; including LLMs
2921	Self-Aug: Query and Entropy Adaptive Decoding for Large Vision-Language Models Authors: Eun Woo Im; Muhammad Kashif Ali; Vivek Gupta Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large vision language models; large language models; contrastive decoding; multimodal learning; including LLMs
2922	SelfReflect: Can LLMs Communicate Their Internal Answer Distribution? Authors: Michael Kirchhof; Luca Füger; Adam Golinski; Eeshan Gunesh Dhekane; Arno Blaas; Seong Joon Oh; Sinead Williamson Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; uncertainty quantification; subjective uncertainty; benchmark; language model; including LLMs
2923	Seq vs Seq: An Open Suite of Paired Encoders and Decoders Authors: Orion Weller; Kathryn Ricci; Marc Marone; Antoine Chaffin; Dawn Lawrie; Benjamin Van Durme Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: encoders; pretraining; objective; mlm; ntp; retrieval; including LLMs
2924	Sequential Parallel Duality in Prefix Scannable Models Authors: Morris Yau; Sharut Gupta; Valerie Engelmayer; Kazuki Irie; Stefanie Jegelka; Jacob Andreas Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: state space models; linear RNNs; linear transformers; sequence modeling; including LLMs
2925	ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution Authors: Robert Tjarko Lange; Yuki Imajuku; Edoardo Cetin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Evolution; LLMs; Scientific discovery; including LLMs
2926	Short Window Attention Enables Long-Term Memorization Authors: Loïc Cabannes; Maximilian Beck; Maria Lomeli; Gergely Szilvasy; Matthijs Douze; Jade Copet; Pierre-Emmanuel Mazare; Gabriel Synnaeve; Herve Jegou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: hybrids; xLSTM; SWA; memory; attention; long-context; architecture-design; LLM; stochastic; including LLMs
2927	Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning Authors: Yilun Hao; Yongchao Chen; Chuchu Fan; Yang Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Language Models; Planning; PDDL; LLM Tool Use; including LLMs
2928	Single-stream Policy Optimization Authors: Zhongwen Xu; Zihan Ding Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Single-stream Policy Optimization; Large Language Models; Reinforcement Learning; including LLMs
2929	SinkTrack: Attention Sink based Context Anchoring for Large Language Models Authors: Xu Liu; Guikun Chen; Wenguan Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Multimodal Large Language Models; Hallucination; Context Forgetting; including LLMs
2930	SkillFactory: Self-Distillation for Learning Cognitive Behaviors Authors: Zayne Rea Sprague; Jack Lu; Manya Wadhwa; Sedrick Keh; Mengye Ren; Greg Durrett Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Reinforcement Learning; including LLMs
2931	SliderQuant: Accurate Post-Training Quantization for LLMs Authors: Shigeng Wang; Chao Li; Yangyuxuan Kang; Jiawei Fan; Zhonghong Ou; Anbang Yao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language models; post-training quantization; low-bit neural networks; model compression; including LLMs
2932	Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning Authors: Ziyan Wang; Zheng Wang; Xingwei Qu; Qi Cheng; Jie Fu; Shengpu Tang; Minjia Zhang; Xiaoming Huo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM reasoning; Reinforcement Learning; including LLMs
2933	SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG Authors: Xuechen Zhang; Koustava Goswami; Samet Oymak; Jiasi Chen; Nedim Lipka Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation (RAG); Long-Document QA; Adaptive Chunking; Efficient Information Retrieval; GRPO; Reinforcement learning; including LLMs
2934	Smarter Not Harder: Generative Process Evaluation with Intrinsic-Signal Driving and Ability‑Adaptive Reward Shaping Authors: Tao He; Rongchuan Mu; Lizi Liao; Yixin Cao; Yang Li; Yijia Luo; Weixun Wang; Ming Liu; Bing Qin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Generative Process Reward Model; Math Reasoning; Large Reasoning Model; including LLMs
2935	Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Understanding Authors: Kai Liu; Zhan Su; Peijie Dong; Fengran Mo; Jianfei Gao; Shaoting Zhang; Kai Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RNN; Recurent LLM; Long Context Modeling; Large Language Model; including LLMs
2936	Social Agents: Collective Intelligence Improves LLM Predictions Authors: Aanisha Bhattacharyya; Abhilekh Borah; Yaman Kumar Singla; Rajiv Ratn Shah; Changyou Chen; Balaji Krishnamurthy Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: wisdom of crowds; LLM; multiagent systems; including LLMs
2937	Soft Tokens, Hard Truths Authors: Natasha Butt; Ariel Kwiatkowski; Ismail Labiad; Julia Kempe; Yann Ollivier Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reinforcement learning; large language models; math reasoning; latent reasoning; soft thinking; continuous tokens; reasoning; including LLMs
2938	Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents Authors: Heyang Gao; Zexu Sun; Erxue Min; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Xu Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM-based Agents; Process Supervision; Curriculum Learning; including LLMs
2939	Sparse Attention Adaptation for Long Reasoning Authors: Yizhao Gao; Shuming Guo; Shijie Cao; Yuqing Xia; Yu Cheng; Lei Wang; Lingxiao Ma; Yutao Sun; Tianzhu Ye; Li Dong; Hayden Kwok-Hay So; Yu Hua; Ting Cao; Fan Yang; Mao Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Sparse Attention; Reasoning; including LLMs
2940	SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization Authors: Taolin Zhang; Hang Guo; Wang Lu; Tao Dai; Shu-Tao Xia; Jindong Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient Evaluation; LLM Evaluation; including LLMs
2941	Sparsity Forcing: Reinforcing Token Sparsity of MLLMs Authors: Feng Chen; Yefei He; Lequan Lin; Jing Liu; Chenhui Gou; Bohan Zhuang; Qi Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reinforced sparse attention; token sparsity; including LLMs
2942	SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models Authors: Hongxing Li; Dingming Li; Zixuan Wang; Yuchen Yan; Hang Wu; Wenqi Zhang; Yongliang Shen; Weiming Lu; Jun Xiao; Yueting Zhuang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision-Language Models; Spatial Reasoning; including LLMs
2943	Spatially Guided Training for Vision-Language-Action Model Authors: Jinhui Ye; Fangjing Wang; Ning Gao; Junqiu Yu; Zhu Yangkun; Bin Wang; Jinyu Zhang; Weiyang Jin; Yanwei Fu; Feng Zheng; Yilun Chen; Jiangmiao Pang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Spatial Priors; Robot Manipulation; Instruction Following; including LLMs
2944	Speculative Speculative Decoding Authors: Tanishq Kumar; Tri Dao; Avner May Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: inference; large language models; speculative decoding; including LLMs
2945	Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations Authors: Zichao Li; Gang Wu; Zichao Wang; Ruiyi Zhang; Wanrong Zhu; Ryan A. Rossi; Vlad I Morariu; Jihyung Kil Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: hindsight learning; agentic LLM; LLM; post training; RL; including LLMs
2946	Spotlight on Token Perception for Multimodal Reinforcement Learning Authors: Siyuan Huang; Xiaoye Qu; Yafu Li; Yun Luo; Zefeng He; Daizong Liu; Yu Cheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Reasoning; LVLM; Reinforcement Learning; including LLMs
2947	Squeeze the Soaked Sponge: Efficient Off-policy RFT for Large Language Model Authors: Jing Liang; Jinyi Liu; Yi Ma; Hongyao Tang; YAN ZHENG; Shuyue Hu; LEI BAI; Jianye HAO Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Finetuning; Large Language Model; Reasoning; including LLMs
2948	Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning Authors: Luckeciano Carvalho Melo; Alessandro Abate; Yarin Gal Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Policy Gradients; Large Language Models; including LLMs
2949	Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation Authors: Yize Wu; KE GAO; Ling Li; Yanjun Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; parameter-efficient fine tuning; low-rank adaptation; including LLMs
2950	Steering MoE LLMs via Expert (De)Activation Authors: Mohsen Fayyaz; Ali Modarressi; Hanieh Deilamsalehy; Franck Dernoncourt; Ryan A. Rossi; Trung Bui; Hinrich Schuetze; Nanyun Peng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Steering; MoE; Mixture-of-Experts; LLM; Safety; including LLMs
2951	StochasTok: Improving Fine-Grained Subword Understanding in LLMs Authors: Anya Sims; Thomas Foster; T. Duy Nguyen-Hien; Klara Kaleb; Joseph Lee; Jakob Nicolaus Foerster; Yee Whye Teh; Cong Lu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language models; tokenization; pretraining; finetuning; subword understanding; including LLMs
2952	Strategic Scaling of Test-Time Compute: A Bandit Learning Approach Authors: Bowen Zuo; Yinglun Zhu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Test-time scaling; bandit learning; large language models; pure exploration; including LLMs
2953	StreamingThinker: Large Language Models Can Think While Reading Authors: Junlong Tong; Yingqi Fan; Anhao Zhao; Yunpu Ma; Xiaoyu Shen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; Reasoning; Streaming; including LLMs
2954	String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation Authors: Kou Misaki; Takuya Akiba Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Prompting; Diversity; including LLMs
2955	Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs Authors: Yujie Zhao; Lanxiang Hu; Yang Wang; Minmin Hou; Hao Zhang; Ke Ding; Jishen Zhao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; multi agent system; reinforcement learning; including LLMs
2956	Structurally Human, Semantically Biased: Detecting LLM-Generated References with Embeddings and GNNs Authors: Melika Mobini; Vincent Holst; Floriano Tori; Andres Algaba; Vincent Ginis Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Citation Networks; Graph Neural Networks (GNNs); including LLMs
2957	Structured In-context Environment Scaling for Large Language Model Reasoning Authors: Peng Yu; Zeyuan Zhao; Shao Zhang; Luoyi Fu; Xinbing Wang; Ying Wen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; reinforcement learning; llm reasoning; structured in-context environment; including LLMs
2958	StyliTruth : Unlocking Stylized yet Truthful LLM Generation via Disentangled Steering Authors: Chenglei Shen; Zhongxiang Sun; Teng Shi; Xiao Zhang; Jun Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Controllable Stylized and Truthful Generation; Representation Editing; including LLMs
2959	Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning Authors: Yihe Deng; I-Hung Hsu; Jun Yan; Zifeng Wang; Rujun Han; Gufeng Zhang; Yanfei Chen; Wei Wang; Tomas Pfister; Chen-Yu Lee Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement learning; Reasoning; Large Language Model; Agent; including LLMs
2960	SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs Authors: Dachuan Shi; Abedelkadir Asi; Keying Li; Xiangchi Yuan; Leyan Pan; Wenke Lee; Wen Xiao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Reasoning; including LLMs
2961	Synthetic Bootstrapped Pretraining Authors: Zitong Yang; Aonan Zhang; Hong Liu; Tatsunori Hashimoto; Emmanuel Candes; Chong Wang; Ruoming Pang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language model; pretraining; synthetic data; including LLMs
2962	T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models Authors: Minki Kang; Jongwon Jeong; Jaewoong Cho Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; math reasoning; tool use; test-time scaling; small language model; including LLMs
2963	THE END OF MANUAL DECODING: TOWARDS TRULY END-TO-END LANGUAGE MODELS Authors: Zhichao Wang; Dongyang Ma; Xinting Huang; Deng Cai; Tian Lan; Jiahao Xu; Haitao Mi; Xiaoying Tang; Yan Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: dynamic decoding; instruction-based Control; truly end-to-end; including LLMs
2964	TNT: Improving Chunkwise Training for Test-Time Memorization Authors: Zeman Li; Ali Behrouz; Yuan Deng; Peilin Zhong; Praneeth Kacham; Mahdi Karami; Meisam Razaviyayn; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Recurrent Neural Networks; Sequence Modeling; including LLMs
2965	TRACEDET: HALLUCINATION DETECTION FROM THE DECODING TRACE OF DIFFUSION LARGE LANGUAGE MODELS Authors: Shenxu Chang; Junchi Yu; Weixing Wang; Yongqiang Chen; Jialin Yu; Philip Torr; Jindong Gu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; hallucination detection; including LLMs
2966	TRIM: Hybrid Inference via Targeted Stepwise Routing in Multi-Step Reasoning Tasks Authors: Vansh Kapoor; Aman Gupta; Hao Chen; Anurag Beniwal; Jing Huang; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Model routing; Reinforcement Learning; Partially Observable MDPs (POMDPs); including LLMs
2967	TS$^2$: Training with Sparsemax+, Testing with Softmax for Accurate and Diverse LLM Fine-Tuning Authors: XuZiyang; Ananthu Rajendran Pillai; Yinghua Yao; Yuangang Pan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Supervised Fine-Tuning; Output Diversity; including LLMs
2968	TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture Authors: Yongchao Chen; Jiefeng Chen; Rui Meng; Ji Yin; Na Li; Chuchu Fan; Chi Wang; Tomas Pfister; Jinsung Yoon Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Tool-Augmented Reasoning; Test-Time Scaling; Multi-Agent Systems; Code Interpreter; Search; including LLMs
2969	TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning Authors: Jiaru Zou; Soumya Roy; Vinay Kumar Verma; Ziyi Wang; David Wipf; Pan Lu; Sumit Negi; James Zou; Jingrui He Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Process Reward Model; Tabular Reasoning; Tool Integration; Test-time Scaling; including LLMs
2970	Taming Curvature: Architecture Warm-up for Stable Transformer Training Authors: Sameera Ramasinghe; Thalaiyasingam Ajanthan; Hadi Mohaghegh Dolatabadi; Chamin P Hewa Koneputugodage; Gil Avraham; Violetta Shevchenko; Yan Zuo; Karol Pajak; Alexander Long Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Curvature; transformers; including LLMs
2971	Teaching Metric Distance to Discrete Autoregressive Language Models Authors: Jiwan Chung; Saejin Kim; Yongrae Jo; Jaewoo Park; Dongjun Min; Youngjae Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Autoregressive Modeling; Generative Modeling; Efficient Training; including LLMs
2972	Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning Authors: Haoran Dang; Cuiling Lan; Hai Wan; Xibin Zhao; Yan Lu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; Adaptive Sampling Temperature; Meta-Optimization; GRPO; including LLMs
2973	Tequila: Trapping-free Ternary Quantization for Large Language Models Authors: Hong Huang; Decheng Wu; Rui Cen; Guanghua Yu; Zonghang Li; Kai Liu; Jianchen Zhu; Peng Chen; Xue Liu; Dapeng Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Ternary Quantization; Large Language Models; Edge Computing; including LLMs
2974	TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation Authors: Muhammad Sohail Danish; Muhammad Akhtar Munir; Syed Roshaan Ali Shah; Muhammad Haris Khan; Rao Muhammad Anwer; Jorma Laaksonen; Fahad Shahbaz Khan; Salman Khan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Remote Sensing; Foundation Model; Geospatial; including LLMs
2975	Test-Time Alignment for Large Language Models via Textual Model Predictive Control Authors: Kuang-Da Wang; Teng-Ruei Chen; Yu Heng Hung; Guo-Xun Ko; Shuoyang Ding; Yueh-Hua Wu; Yu-Chiang Frank Wang; Chao-Han Huck Yang; Wen-Chih Peng; Ping-Chun Hsieh Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Test-time preference alignment; Large Language Models; Machine translation; including LLMs
2976	Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models Authors: Yinglun Zhu; Jiancheng Zhang; Fuzhi Tang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Compositional reasoning; multimodal learning; test-time adaptation; evaluation metrics; vision-language models; including LLMs
2977	Test-Time Scaling with Reflective Generative Model Authors: Zixiao Wang; Yuxin Wang; Xiaorui Wang; Mengting Xing; Jie Gao; Jianjun Xu; Guangcan Liu; Chenhui Jin; zhuo wang; Shengzhuo zhang; Hongtao Xie Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning; including LLMs
2978	Test-Time Training Done Right Authors: Tianyuan Zhang; Sai Bi; Yicong Hong; Kai Zhang; Fujun Luan; Songlin Yang; Kalyan Sunkavalli; William T. Freeman; Hao Tan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Test-Time Training; Sequence Model; Long Context Model; including LLMs
2979	Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimality Authors: Arpan Mukherjee; Marcello Bullo; Debabrota Basu; Deniz Gunduz Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Test-time verification; Coverage; Approximate verifier; ROC; including LLMs
2980	Text summarization via global structure awareness Authors: Jiaquan Zhang; Chaoning Zhang; Shuxu Chen; Yibei Liu; Chenghao Li; Qigan Sun; Shuai Yuan; Fachrina Dewi Puspitasari; Dongshen Han; Guoqing Wang; Sung-Ho Bae; Yang Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Text summarization; Topological Data Analysis; natural language processing; including LLMs
2981	Textual Equilibrium Propagation for Deep Compound AI Systems Authors: Minghui Chen; Wenlong Deng; James Zou; Han Yu; Xiaoxiao Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Compound AI System; including LLMs
2982	The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives Authors: Matthieu Bou; Nyal Patel; Arjun Jagota; Satyapriya Krishna; Sonali Parbhoo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: alignment; bayesian; inverse reinforcement learning; uncertainty; diagnostics; including LLMs
2983	The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward Authors: Long Li; Zhijian Zhou; JIARAN HAO; Jason Klein Liu; Yanting Miao; Wei Pang; Xiaoyu Tan; Wei Chu; Zhe Wang; Shirui Pan; Chao Qu; Yuan Qi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Reinforcement Learning with Verifiable Reward; f divergence; including LLMs
2984	The First Impression Problem: Internal Bias Triggers Overthinking in Reasoning Models Authors: Renfei Dang; Zhening Li; Shujian Huang; Jiajun Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Large Reasoning Model; Overthinking; including LLMs
2985	The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm Authors: Jiale Chen; Yalda Shabanzadeh; Elvir Crnčević; Torsten Hoefler; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Quantization; Lattice Algorithm; Closest Vector Problem; including LLMs
2986	The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity? Authors: Alexander Hägele; Aryo Pradipta Gema; Henry Sleight; Ethan Perez; Jascha Sohl-Dickstein Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Scaling Laws; Misalignment; Bias-Variance; including LLMs
2987	The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas Authors: Chenglei Si; Tatsunori Hashimoto; Diyi Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Research Automation; Scientific Discovery; including LLMs
2988	The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs Authors: Akshit Sinha; Arvindh Arun; Shashwat Goel; Steffen Staab; Jonas Geiping Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Long Horizon; Agents; including LLMs
2989	The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner Authors: Zhouqi Hua; Wenwei Zhang; Chengqi Lyu; Yuzhe Gu; Songyang Gao; Kuikun Liu; Dahua Lin; Kai Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Length Generalization; Large Language Models; Turing Machine; Chain-of-Thought; Computable Reasoning; Synthetic Dataset; including LLMs
2990	The Markovian Thinker: Architecture-Agnostic Linear Scaling of Reasoning Authors: Milad Aghajohari; Kamran Chitsaz; Amirhossein Kazemnejad; Sarath Chandar; Alessandro Sordoni; Aaron Courville; Siva Reddy Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning; RL for LLMs; Reasoning Models; Scalable Reasoning; Test-Time Scaling; including LLMs
2991	The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context Authors: Xiaoyuan Liu; Tian Liang; Dongyang Ma; Deyu Zhou; Haitao Mi; Pinjia He; Yan Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; memory management; including LLMs
2992	The Potential of CoT for Reasoning: A Closer Look at Trace Dynamics Authors: Gregor Bachmann; Yichen Jiang; Seyed-Mohsen Moosavi-Dezfooli; Moin Nabi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reasoning; Chain-of-thought; Mathematical reasoning; including LLMs
2993	The Softmax Bottleneck Does Not Limit the Probabilities of the Most Likely Tokens Authors: Ronen Basri; David Jacobs Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Softmax Bottleneck+; Transformer+; Output Projection Matrix+; Large Language Models+; including LLMs
2994	The Unseen Bias: How Norm Discrepancy in Pre-Norm MLLMs Leads to Visual Information Loss Authors: Bozhou Li; Xinda Xue; Sihan Yang; Yang Shi; Xinlong Chen; Yushuo Guan; Yuanxing Zhang; Wentao Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: MultiModal Large Language Model; Pre-Normlization; including LLMs
2995	Theoretical Modeling of Large Language Model Self-Improvement Training Dynamics Through Solver-Verifier Gap Authors: Yifan Sun; Yushan Liang; Zhen Zhang; Xin Liu; Jiaye Teng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Training Dynamics; Self-Improvement; including LLMs
2996	Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning Authors: Haonan Wang; Chao Du; Kenji Kawaguchi; Tianyu Pang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Reasoning; including LLMs
2997	Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation Authors: Chengbing Wang; Yang Zhang; Wenjie Wang; Xiaoyan Zhao; Fuli Feng; Xiangnan He; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Personalization; Reasoning; including LLMs
2998	Thinking on the Fly: Test-Time Reasoning Enhancement via Latent Thought Policy Optimization Authors: Wengao Ye; Yan Liang; Lianlei Shan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; reasoning; latent reasoning; chain of thought; including LLMs
2999	Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners Authors: Xin Xu; Clive Bai; Kai Yang; Tianhao Chen; Yang Wang; Saiyong Yang; Can Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Reinforcement Learning with Verifiable Rewards; Long Chain-of-Thought; including LLMs
3000	TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA Authors: ChanJoo Jung; Jaehyung Kim Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Knowledge Transfer; PEFT; including LLMs
3001	TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning Authors: Christian Greisinger; Steffen Eger Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Natural Language Processing; AI/NLP for Science; Large Language Models; Vision Language Models; Reinforcement Learning; Code Generation; Representation Learnin…
3002	Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models Authors: Wen Wang; Bozhen Fang; Chenchen Jing; Yongliang Shen; Yangyi Shen; Qiuyu Wang; Hao Ouyang; Hao Chen; Chunhua Shen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion Language Models; Semantic Entropy; Self-Consistency; Reinforcement Learning; including LLMs
3003	Tina: Tiny Reasoning Models via LoRA Authors: Shangshang Wang; Julian Asilis; Ömer Faruk Akgül; Enes Burak Bilgin; Ollie Liu; Willie Neiswanger Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reasoning models; efficient reasoning; LoRA; RLVR; including LLMs
3004	To Compress or Not? Pushing the Frontier of Lossless GenAI Model Weights Compression with Exponent Concentration Authors: Zeyu Yang; Tianyi Zhang; Jianwen Xie; Chuan Li; Zhaozhuo Xu; Anshumali Shrivastava Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Compression; LLM; including LLMs
3005	To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models Authors: Jiayun Luo; Wan-Cyuan Fan; Lyuyang Wang; Xiangteng He; Tanzila Rahman; Purang Abolmaesumi; Leonid Sigal Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Transformer; Visual Attention Sink; Attention Sink; Multimodal LLM; Large Vision Langauge Model; including LLMs
3006	TokMem: One-Token Procedural Memory for Large Language Models Authors: Zijun Wu; Yongchang Hao; Lili Mou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Procedural Memory; Memory tokens; Continual adaptation; Large language models; including LLMs
3007	Token Alignment Heads: Unveiling Attention's Role in LLM Multilingual Translation Authors: BINBINLIU; Wenhan Han; Feng Chen; Yifan Zhang; Ping Guo; Haobin Lin; Bingni Zhang; Taifeng Wang; Yin Zheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Multilinguistic; Interpretability; including LLMs
3008	Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning Authors: Wenlong Deng; Yi Ren; Yushu Li; Boying Gong; Danica J. Sutherland; Xiaoxiao Li; Christos Thrampoulidis Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; Math Reasoning; Reinforcement Learning; including LLMs
3009	TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching Authors: Runjia Zeng; Qifan Wang; Qiang Guan; Ruixiang Tang; Lifu Huang; Zhenting Wang; XUELING ZHANG; Cheng Han; Dongfang Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Memory Efficient Fine Tuning; including LLMs
3010	Tokenisation over Bounded Alphabets is Hard Authors: Violeta Kastreva; Philip Whittington; Dennis Komm; Tiago Pimentel Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Tokenisation; tokenization; language modelling; compression; LLM; NLP; including LLMs
3011	ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models Authors: Bowen Fang; Wen Ye; Yunyue Su; Jinghao Zhang; Qiang Liu; Yesheng Liu; Xin Sun; Shu Wu; Jiabing Yang; Baole Wei; Liang Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Tool-Augmented LLMs; Scalable Tool Use; Tool Learning; Collaborative Semantics; including LLMs
3012	Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning Authors: Yifei Chen; Guanting Dong; Zhicheng Dou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reasoning model; tool-integrated reasoning; self-evolved training; information entropy; including LLMs
3013	Towards Greater Leverage: Scaling Laws for Efficient Mixture-of-Experts Language Models Authors: Changxin Tian; Kunlong Chen; Jia Liu; Ziqi Liu; Zhiqiang Zhang; JUN ZHOU Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Scaling Laws; Mixture-of-Experts; Large Language Models; including LLMs
3014	Towards Quantization-Aware Training for Ultra-Low-Bit Reasoning LLMs Authors: Yasuyuki Okoshi; Hikari Otsuka; Daichi Fujiki; Masato Motomura Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Quantization; including LLMs
3015	Towards Scalable Oversight via Partitioned Human Supervision Authors: Ren Yin; Takashi Ishida; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; scalable oversight; weak supervision; agentic systems; including LLMs
3016	Towards Strategic Persuasion with Language Models Authors: Zirui Cheng; Jiaxuan You Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Strategic Behavior; Information Design; including LLMs
3017	Towards True Speech-to-Speech Models Without Text Guidance Authors: Xingjian Zhao; Zhe Xu; Luozhijie Jin; Yang Wang; Hanfu Chen; Yaozhou Jiang; Ke Chen; Ruixiao Li; Mingshu Chen; Ruiming Wang; Wenbo Zhang; Qinyuan Cheng; Zhaoye Fei; Shimin Li; Xip… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: multimodal large language model; large language model; speech language model; including LLMs
3018	Towards Understanding Valuable Preference Data for Large Language Model Alignment Authors: Zizhuo Zhang; Qizhou Wang; Shanshan Ye; Jianing Zhu; Jiangchao Yao; Bo Han; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model alignment; preference data; influence function; including LLMs
3019	Towards a Foundation Model for Crowdsourced Label Aggregation Authors: Hao Liu; Jiacheng Liu; Feilong Tang; Long Chen; Jiadi Yu; Yanmin Zhu; Qiwen Dong; Yichuan Yu; Xiaofeng Hou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Label Aggregation; including LLMs
3020	Train Once, Answer All: Many Pretraining Experiments for the Cost of One Authors: Sebastian Bordt; Martin Pawelczyk Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models (LLMs); pretraining; experiments; memorization; including LLMs
3021	Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs Authors: Preetum Nakkiran; Arwen Bradley; Adam Golinski; Eugene Ndiaye; Michael Kirchhof; Sinead Williamson Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: calibration; LLM; semantic; uncertainty; theory; including LLMs
3022	Training Large Language Models To Reason In Parallel With Global Forking Tokens Authors: Sheng Jia; Xiao Wang; Shiva Kasiviswanathan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; reasoning; chain of thoughts; including LLMs
3023	Training Large Reasoning Models Efficiently via Progressive Thought Encoding Authors: Zeliang Zhang; Xiaodong Liu; Hao Cheng; Hao Sun; Chenliang Xu; Jianfeng Gao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: efficient reasoning LLM; KV cache; test-time learning; including LLMs
3024	Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match Authors: Jinze Li; Yixing Xu; Guanchen Li; Shuo Yang; Jinfeng Xu; Xuanwu Yin; Dong Li; Edith C. H. Ngai; Emad Barsoum Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Speculative Decoding; Large Language Models; including LLMs
3025	Transducing Language Models Authors: Vésteinn Snæbjarnarson; Samuel Kiegeland; Tianyu Liu; Reda Boumasmoud; Ryan Cotterell; Tim Vieira Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language models; tokenization; automata; transducers; including LLMs
3026	Transformers Learn Latent Mixture Models In-Context via Mirror Descent Authors: Francesco D'Angelo; Nicolas Flammarion Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: in-context learning; markov chain; transformers; mirror descent; mixture models; latent variables; including LLMs
3027	Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations Authors: Xinyi Yang; Liang Zeng; Heng Dong; Chao Yu; Xiaoran Wu; Huazhong Yang; Yu Wang; Milind Tambe; Tonghan Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Continuous Normalizing Flow; Diffusion Model; RLAIF; Explainable AI; including LLMs
3028	Trapped by simplicity: When Transformers fail to learn from noisy features Authors: Evan Peters; Matheus Hrabowec Zambianco; Ando Deng; Devin Blankespoor; Achim Kempf Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: boolean analysis; simplicity bias; transformer; feature noise; including LLMs
3029	Tree Search for LLM Agent Reinforcement Learning Authors: Yuxiang Ji; Ziyu Ma; Yong Wang; Guanhua Chen; Xiangxiang Chu; Liaoni Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Tree Search; LLM; Agent; Reinforcement Learning; including LLMs
3030	Tricks or Traps? A Deep Dive into RL for LLM Reasoning Authors: Zihe Liu; Jiashun Liu; Yancheng He; Weixun Wang; Jiaheng Liu; Ling Pan; Xinyu Hu; Shaopan Xiong; Ju Huang; Jian Hu; Shengyi Huang; Siran Yang; Jiamang Wang; Wenbo Su; Bo Zheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models Reasoning; Reinforcement Learning; Reasoning; including LLMs
3031	TrimR: Verifier-based Training-Free Thinking Trimming for Efficient Test-Time Scaling Authors: Weizhe Lin; Xing Li; Zhiyuan Yang; Xiaojin Fu; Hui-Ling Zhen; Yaoyuan Wang; Xianzhi Yu; Wulong Liu; Xiaosong Li; Mingxuan Yuan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Reasoning; Thinking compression; Test-time scaling; Overthinking; Underthinking; including LLMs
3032	Trinity: An Evolved LLM Coordinator Authors: Jinglue Xu; Qi Sun; Peter Schwendeman; Stefan Nielsen; Edoardo Cetin; Yujin Tang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: evolutionary strategies; multi-agent LLM systems; role-based delegation; logits-to-agent mapping; including LLMs
3033	TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them Authors: Yidong Wang; Yunze Song; Tingyuan Zhu; Xuanwang Zhang; Zhuohao Yu; Hao Chen; Chiyu Song; Qiufeng Wang; Zhen Wu; Xinyu Dai; Yue Zhang; Cunxiang Wang; Wei Ye; Shikun Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM-as-a-Judge; LLM Evaluation; Large Language Models; including LLMs
3034	Turning Internal Gap into Self-Improvement: Promoting the Generation-Understanding Unification in MLLMs Authors: Yujin Han; Hao Chen; Andi Han; Zhiheng Wang; Xinyu Liu; Yingya Zhang; Shiwei Zhang; Difan Zou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: MLLM; Self-improvement; Unification; including LLMs
3035	Type-Compliant Adaptation Cascades Authors: Chu-Cheng Lin; Daiyi Peng; Yifeng Lu; Ming Zhang; Eugene Ie Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language model adaptation; probabilistic programming; reasoning; including LLMs
3036	UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction as Reasoning Authors: Liangyu Chen; Hanzhang Zhou; chenglin cai; Jianan Zhang; Panrong Tong; Xu Zhang; Quyu Kong; Chen Liu; Yuqi Liu; Wenxuan Wang; Yue Wang; Qin Jin; Steven HOI Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: GUI Grounding; GUI Agents; Multimodal Large Language Model; including LLMs
3037	UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models Authors: Guangxin He; Shen Nie; Fengqi Zhu; Yuankang Zhao; Tianyi Bai; Ran Yan; Jie Fu; Chongxuan Li; Binhang Yuan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: diffusion language model; long context LLM; including LLMs
3038	UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning Authors: Zihao Huang; Yu Bao; Qiyang Min; Siyan Chen; Ran Guo; Hongzhi Huang; Defa Zhu; Banggu Wu; Yutao Zeng; zhou Xun; Siyuan Qiao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: memory network; moe; pretrain; long context; including LLMs
3039	Uncertainty-driven Embedding Convolution Authors: Sungjun Lim; Kangjun Noh; Youngjun Choi; Heeyoung Lee; Kyungwoo Song Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Probabilistic embeddings; Embedding convolution; Uncertainty-aware similarity; including LLMs
3040	Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding Authors: Lin Long; Changdae Oh; Seongheon Park; Sharon Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large vision-language models; multimodality; language prior; including LLMs
3041	Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations Authors: Yuxin Dong; Jiachen Jiang; Zhihui Zhu; Xia Ning Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformer; in-context learning; task vector; including LLMs
3042	Understanding the Mechanisms of Fast Hyperparameter Transfer Authors: Nikhil Ghosh; Denny Wu; Alberto Bietti Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: hyperparameter transfer; hyperparameter tuning; scaling laws; optimization dynamics; maximal update parameterization; science of deep learning; including LLMs
3043	Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel Authors: Chuanyang Zheng; Jiankai Sun; Yihang Gao; Enze Xie; Yuehao Wang; Peihao Wang; Ting Xu; Matthew Chang; Liliang Ren; Jingyao Li; Jing Xiong; Kashif Rasul; Mac Schwager; Anderson Sch… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixture of Experts; Large Language Models; Foundation Model; including LLMs
3044	Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models Authors: Jitai Hao; Hao Liu; Xinyan Xiao; Qiang Huang; Jun Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Unified Multimodal Language Models; including LLMs
3045	UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding Authors: Yueming Xu; Jiahui Zhang; Ze Huang; Yurui Chen; Yanpeng Zhou; Zhenyu Chen; Yu-Jie Yuan; Pengxiang Xia; Guowei Huang; Xinyue Cai; Zhongang Qi; Xingyue Quan; Jianye HAO; Hang Xu; Li… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Unified understanding and generation; Large language models; 3D generation; 3D vision; Spatial understanding; including LLMs
3046	Universal Properties of Activation Sparsity in Modern Large Language Models Authors: Filip Szatkowski; Patryk Będkowski; Alessio Devoto; Jan Dubiński; Pasquale Minervini; Mikołaj Piórczyński; Simone Scardapane; Bartosz Wójcik Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; activation sparsity; efficiency; representations; including LLMs
3047	Unlocking Long-Horizon Agentic Search with Large-Scale End-to-End RL Authors: Jiaxuan Gao; Wei Fu; Minyang Xie; Shusheng Xu; Chuyi He; Zhiyu Mei; Banghua Zhu; Yi Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Agentic RL; Asynchronous RL; Search Agent; including LLMs
3048	Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation Authors: Zhiwei Zhang; Xiaomin Li; Yudi Lin; Hui Liu; Ramraj Chandradevan; Linlin Wu; Minhua Lin; Fali Wang; Xianfeng Tang; Qi He; Suhang Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Reasoning; Multi-agent LLMs; including LLMs
3049	Unmasking Backdoors: An Explainable Defense via Gradient-Attention Anomaly Scoring for Pre-trained Language Models Authors: Anindya Sundar Das; Kangjie Chen; Monowar Bhuyan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Backdoor Defense; Anomaly Detection; Gradient-Based Attribution; Attention Mechanisms; Explainability; Pre-trained Language Models; including LLMs
3050	Unveiling Downstream Performance Scaling of LLMs: A Clustering-Based Perspective Authors: Chengyin Xu; Kaiyuan Chen; Xiao Li; Ke Shen; Chenggang Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Performance Prediction; Scaling Law; Large Language Models; Pretraining; including LLMs
3051	Unveiling Super Experts in Mixture-of-Experts Large Language Models Authors: Zunhai Su; Qingyuan Li; HaoZhang; Weihao Ye; Qibo Xue; Yulei Qian; Ngai Wong; Kehong Yuan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: MoE; LLM; compression; attention; including LLMs
3052	Unveiling the Basin-Like Loss Landscape in Large Language Models Authors: Huanran Chen; Zeming Wei; Yao Huang; Yichi Zhang; Yinpeng Dong; Jun Zhu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: loss landscape; empirical theory; pre-training; fine-tuning; including LLMs
3053	VL-JEPA: Joint Embedding Predictive Architecture for Vision-language Authors: Delong Chen; Mustafa Shukor; Théo Moutakanni; Willy Chung; Lei Yu; Tejaswi Kasarla; Allen Bolourchi; Yann LeCun; Pascale Fung Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: JEPA; VLM; video-language; efficiency; including LLMs
3054	VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use Authors: Mingyuan Wu; Jingcheng Yang; Jize Jiang; Meitang Li; Kaizhuo Yan; Hanchao Yu; Minjia Zhang; ChengXiang Zhai; Klara Nahrstedt Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reinforcement Learning; Vison Lanaguage Model; Reasoning; including LLMs
3055	Variation in Verification: Understanding Verification Dynamics in Large Language Models Authors: Yefan Zhou; Austin Xu; Yilun Zhou; Janvijay Singh; Jiang Gui; Shafiq Joty Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: generative verification; large language model; test-time scaling; including LLMs
3056	Variational Reasoning for Language Models Authors: Xiangxin Zhou; Zichen Liu; Haonan Wang; Chao Du; Min Lin; Chongxuan Li; Liang Wang; Tianyu Pang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Models; Variational Reasoning; Reinforcement Learning; including LLMs
3057	Verification and Co-Alignment via Heterogeneous Consistency for Preference-Aligned LLM Annotations Authors: Cheng Chen; Haiyan Yin; Ivor Tsang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Verification; Co-Alignment; Preference-Aligned LLM Annotations; Reference-Free Metric; including LLMs
3058	Vid2World: Crafting Video Diffusion Models to Interactive World Models Authors: Siqiao Huang; Jialong Wu; Qixing Zhou; Shangchen Miao; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: World Models; Video Diffusion Models; including LLMs
3059	Video-GPT via Next Clip Diffusion Authors: Shaobin Zhuang; Zhipeng Huang; Ying Zhang; Fangyikang Wang; Canmiao Fu; Binxin Yang; Chong Sun; Chen Li; Yali Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Video; Diffusion; LLM; including LLMs
3060	VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling Authors: Xinhao Li; Yi Wang; Jiashuo Yu; Xiangyu Zeng; Yuhan Zhu; Haian Huang; Jianfei Gao; Kunchang Li; Yinan He; Chenting Wang; Yu Qiao; Yali Wang; Limin Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: long video understanding; video language model; including LLMs
3061	Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models Authors: Wenxuan Huang; Bohan Jia; Shaosheng Cao; Zheyu Ye; Fei zhao; Zhe Xu; Yao Hu; Shaohui Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Reasoning; including LLMs
3062	Vision-SR1: Self-Rewarding Vision-Language Model via Reasoning Decomposition and Multi-Reward Policy Optimization Authors: Zongxia Li; Wenhao Yu; Chengsong Huang; Zhenwen Liang; Rui Liu; Fuxiao Liu; Jingxi Chen; Dian Yu; Jordan Lee Boyd-Graber; Haitao Mi; Dong Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: machine learning; vision-language models; deep learning; reinforceme; including LLMs
3063	Visual Compositional Tuning Authors: Xindi Wu; Hee Seung Hwang; Polina Kirichenko; Esin Tureci; Olga Russakovsky Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Compositionality; Visual instruction tuning; Complexity; including LLMs
3064	Visual Jigsaw Post-Training Improves MLLMs Authors: Penghao Wu; Yushan Zhang; Haiwen Diao; Bo Li; Lewei Lu; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Self-supervised Learning; Post-training; Reinforcement Learning; Visual Jigsaw; including LLMs
3065	Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow Authors: Xinlei Yu; Chengming Xu; Guibin Zhang; Yongbo He; Zhangquan Chen; Zhucun Xue; Jiangning Zhang; Yue Liao; Xiaobin Hu; Yu-Gang Jiang; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: multi-agent system; visual hallucination snowballing; including LLMs
3066	WALT: Web Agents that Learn Tools Authors: Viraj Prabhu; Yutong Dai; Matthew Fernandez; Krithika Ramakrishnan; Jing Gu; Yanqi Luo; silvio savarese; Caiming Xiong; Junnan Li; Zeyuan Chen; Ran Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: web agents; tool use; LLMs; agentic reasoning; including LLMs
3067	WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference Authors: Sihan Chen; Dan Zhao; Jongwoo Ko; Colby Banbury; Huiping Zhuang; Luming Liang; Pashmina Cameron; Tianyi Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Sparse Activation; Efficient Inference; including LLMs
3068	WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models Authors: Haiyu Wang; Yutong Wang; Jack Jiang; Sai Qian Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision language model; singular value decomposition; quantization; including LLMs
3069	WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction Authors: Shaobin Zhuang; Yiwei Guo; Fangyikang Wang; Canmiao Fu; Zhipeng Huang; Zeyue Tian; Xiaohui Li; Ying Zhang; Chen Li; Yali Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Image Reconstruction; Image Generation; including LLMs
3070	WebGen-Agent: Enhancing Interactive Website Generation with Multi-Level Feedback and Step-Level Reinforcement Learning Authors: Zimu Lu; Houxing Ren; Yunqiao Yang; Ke Wang; Zhuofan Zong; Junting Pan; Mingjie Zhan; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: code agent; website generation; large language model; including LLMs
3071	WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection Authors: Guanzhong He; Zhen Yang; Jinxin Liu; Bin Xu; Lei Hou; Juanzi Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: lm agent; retrieval-augmented generation; Reinforcement Learning; including LLMs
3072	Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels Authors: Zhepeng Cen; Haolin Chen; Shiyu Wang; Zuxin Liu; Zhiwei Liu; Ding Zhao; Caiming Xiong; Huan Wang; Weiran Yao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM data pipeline; Reinforcement learning; including LLMs
3073	Weight Decay may matter more than µP for Learning Rate Transfer in Practice Authors: Atli Kosson; Jeremy Welborn; Yang Liu; Martin Jaggi; Xi Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: maximal update parametrization; llm; pretraining; hyperparameter transfer; learning dynamics; adamw; mup; weight decay; hyperparameter tuning; scaling law; tra…
3074	What Generative Search Engines Like and How to Optimize Web Content Cooperatively Authors: Yujiang Wu; Shanshan Zhong; Yubin Kim; Chenyan Xiong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: generative engine optimization; generative engines; preference rule discovery; reinforcement learning; including LLMs
3075	What Scales in Cross-Entropy Scaling Law? Authors: Junxi Yan; Zixi Wei; Qingyao Ai; Yiqun LIU; Jingtao Zhan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Cross-Entropy Loss; Error-Entropy; Neural Scaling Laws; Loss Decomposition; Large Language Models; including LLMs
3076	Whatever Remains Must Be True: Filtering Drives Reasoning in LLMs, Shaping Diversity Authors: Germán Kruszewski; Pierre ERBACHER; Jos Rozen; Marc Dymetman Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; LLMs; Post-Training; Reasoning; theorem proving; Lean; f-divergences; Amari $\alpha$-divergences; Distributional Matching; diversity; in…
3077	When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework Authors: Zach Xu; Shang Zhu; Jue WANG; Junlin Wang; Ben Athiwaratkun; Chi Wang; James Zou; Ce Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Long Context; Multi-agent; LLM; including LLMs
3078	When Foundation Models are One-Liners: Limitations and Future Directions for Time Series Anomaly Detection Authors: Xiaokun Zhu; Louis Carpentier; Mathias Verbeke Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Time Series; Foundation Model; Anomaly Detection; including LLMs
3079	When Greedy Wins: Emergent Exploitation Bias in Meta-Bandit LLM Training Authors: Sanxing Chen; Xiaoyin Chen; Yukun Huang; Roy Xie; Bhuwan Dhingra Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Exploration; including LLMs
3080	When Language Models Lose Their Mind: The Consequences of Brain Misalignment Authors: Gabriele Merlin; Mariya Toneva Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language models; brain alignment; brain misalignment; linguistic competence; neuroscience; fMRI; including LLMs
3081	When More is Less: Understanding Chain-of-Thought Length in LLMs Authors: Yuyang Wu; Yifei Wang; Ziyu Ye; Tianqi Du; Stefanie Jegelka; Yisen Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Chain-of-Thought reasoning; Simplicity bias; Test-time scaling; Reasoning length calibration; including LLMs
3082	When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models Authors: Nan Zhang; Eugene Kwek; Yusen Zhang; Ngoc-Hieu Nguyen; Prasenjit Mitra; Rui Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs Compression; LRMs Compression; Quantization; Pruning; Distillation; including LLMs
3083	When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger Authors: Amirabbas Afzali; Myeongho Jeon; Maria Brbic Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; Preference alignment; including LLMs
3084	Where Did This Sentence Come From? Tracing Provenance in LLM Reasoning Distillation Authors: kaiyuan liu; Shaotian Yan; Rui Miao; Bing Wang; Chen Shen; Jun Zhang; Jieping Ye Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reasoning Distillation; including LLMs
3085	Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis Authors: Qingyue Yang; Jie Wang; Xing Li; Yinqi Bai; Tong Xialiang; Hui-Ling Zhen; Jianye HAO; Mingxuan Yuan; Bin Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; KV Cache Compression; Attention Pattern; including LLMs
3086	Why Keep Your Doubts to Yourself? Trading Visual Uncertainties among Vision-Language Models Authors: Jusheng Zhang; Yijia Fan; Kaitong Cai; Jing Yang; Jiawei Yao; Jian Wang; Guanlong Qu; Ziliang Chen; Keze Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: agent; Vision Language Model; Uncernity; including LLMs
3087	Why is Your Language Model a Poor Implicit Reward Model? Authors: Noam Razin; Yong Lin; Jiarui Yao; Sanjeev Arora Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reward Models; Language Models; Generalization; Distribution Shifts; including LLMs
3088	Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs Authors: Feng Hong; Geng Yu; Yushi Ye; Haicheng Huang; Huangjie Zheng; Ya Zhang; Yanfeng Wang; Jiangchao Yao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion LLM; Efficient Inference; including LLMs
3089	Your Language Model Secretly Contains Personality Subnetworks Authors: Ruimeng Ye; Zihan Wang; Zinan Ling; Yang Xiao; Manling Li; Xiaolong Ma; Bo Hui Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Persona Modeling; including LLMs
3090	ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training Authors: Feijiang Han; Xiaodong Yu; Jianheng Tang; Delip Rao; Weihua Du; Lyle Ungar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Attention Mechanisms; Training-free Methods; Inference-time Optimization; Model Interpretability; Unsupervised Learning; Attention Sink;…
3091	d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching Authors: Yuchu Jiang; Yue Cai; Xiangzhong Luo; Jiale Fu; Jiarui Wang; Chonghan Liu; Xu Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion-based large language models; Key-value caching; Inference acceleration; including LLMs
3092	e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs Authors: Amrith Setlur; Matthew Y. R. Yang; Charlie Victor Snell; Jeremiah Greer; Ian Wu; Virginia Smith; Max Simchowitz; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; reasoning; test-time compute; RL; exploration; including LLMs
3093	iLLaVA: An Image is Worth Fewer Than 1/3 Input Tokens in Large Multimodal Models Authors: Lianyu Hu; Liqing Gao; Fanhua Shang; Liang Wan; Wei Feng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision-Language Models; Model efficiency; Token merging; including LLMs
3094	pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models Authors: Sajjad Ghiasvand; Mahnoosh Alizadeh; Ramtin Pedarsani Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-Modal Adapter; Personalized Federated Fine-Tuning; Few-Shot Learning of Vision Language Models; including LLMs
3095	pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning Authors: Zhanpeng Luo; Ce Zhang; Silong Yong; Cunxi Dai; Qianwei Wang; Haoxi Ran; Guanya Shi; Katia P. Sycara; Yaqi Xie Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-Modal LLMs; Spatial Reasoning; 3D Vision; including LLMs
3096	ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning Authors: Xiaohan Qin; Xiaoxing Wang; Ning Liao; Cancheng Zhang; Xiangdong Zhang; Mingquan Feng; Jingzhi Wang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Supervised Fine-tuning; Data Selection; including LLMs
3097	wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models Authors: Xiaohang Tang; Rares Dolga; Sangwoong Yoon; Ilija Bogunovic Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion Language Models; Reinforcement Learning; Reasoning; including LLMs
3098	xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity Authors: Maximilian Beck; Kajetan Schweighofer; Sebastian Böck; Sebastian Lehner; Sepp Hochreiter Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: xLSTM; Transformers; Scaling Laws; Sequence Modeling; TFLA; Linear Attention; Inference; including LLMs
3099	$\textbf{Re}^{2}$: Unlocking LLM Reasoning via Reinforcement Learning with Re-solving Authors: Pinzheng Wang; ShuliXu; Juntao Li; Yu Luo; Dong Li; Jianye HAO; Min Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM Reasoning; Reinforcement learning; Re-solving Mechanism; Test-time Scaling
3100	$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation Authors: Junhao Chen; Yulia Tsvetkov; Xiaochuang Han Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Autoregressive; Diffusion; Continuous Image Generation
3101	A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data Synthesis Authors: Forough Fazeli-Asl; Michael Minyi Zhang; Linglong Kong; Bei Jiang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Bayesian nonparametric; Dirichlet process; Differential privacy; Tabular data generation
3102	A Hidden Semantic Bottleneck in Conditional Embeddings of Diffusion Transformers Authors: Trung X. Pham; Kang Zhang; Ji Woo Hong; Chang D. Yoo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: conditional embeddings; diffusion models; generative AI; transformer-based diffusion; sparse representation learning; efficient learning
3103	A Joint Diffusion Model with Pre-Trained Priors for RNA Sequence-Structure Co-Design Authors: Xiner Li; Masatoshi Uehara; Xingyu Su; Gabriele Scalia; Shuiwang Ji Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: RNA design; Diffusion models; Generative models
3104	A Noise is Worth Diffusion Guidance Authors: Donghoon Ahn; Jiwon Kang; Sanghyun Lee; Jaewon Min; Minjae Kim; Wooseok Jang; Hyoungwon Cho; Sayak Paul; SeonHwa Kim; Eunju Cha; Kyong Hwan Jin; Seungryong Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Classifier Free Guidance; Diffusion Guidance; Guidance Distillation; Text to Image Synthesis
3105	A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers Authors: Roman Tarasov; Petr Mokrov; Milena Gazdieva; Evgeny Burnaev; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: optimal transport; semi-dual optimal transport; statistical learning theory; approximation bounds
3106	A Study of Posterior Stability in Time-Series Latent Diffusion Authors: Yangming Li; Yixin Cheng; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Latent Diffusion; Time Series; Posterior Collapse
3107	A Unification of Discrete, Gaussian, and Simplicial Diffusion Authors: Nuria Alina Chandra; Yucen Lily Li; Alan Nawzad Amin; Alex Ali; Joshua Rollins; Sebastian W. Ober; Aniruddh Raghu; Andrew Gordon Wilson Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: discrete diffusion; simplicial diffusion; gaussian diffusion; generative models; proteins; dna
3108	AC-Foley: Reference-Audio-Guided Video-to-Audio Synthesis with Acoustic Transfer Authors: Pengjun Fang; Yingqing He; Yazhou Xing; Qifeng Chen; Ser-Nam Lim; Harry Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video-to-Audio Generation; Audio Generation
3109	AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm Authors: Minsang Park; Gyuwon Sim; Hyungho Na; Jiseok Kwak; Sumin Lee; Richard Lee Kim; Donghyeok Shin; Byeonghu Na; Yeongmin Kim; Il-chul Moon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Metropolis-Hastings Algorithm; Langevin Dynamics
3110	ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization Authors: Shizhan Liu; Hao ZHENG; Hang Yu; Jianguo Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: dependence regularization; concept decoupling; text-to-image diffusion model
3111	ATGen: Adversarial Reinforcement Learning for Test Case Generation Authors: Qingyao Li; Xinyi Dai; Weiwen Liu; Xiangyang Li; Yasheng Wang; Ruiming Tang; Yong Yu; Weinan Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Test Case Generation; Reinforcement Learning; Large Language Models; Code Generation
3112	AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size Authors: Guanxi Lu; Hao Mark Chen; Yuto Karashima; Zhican Wang; Daichi Fujiki; Hongxiang Fan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Large Language Models; Non-Autoregressive Decoding; Efficient ML
3113	AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes Authors: Yu Li; Menghan Xia; Gongye Liu; Jianhong Bai; Xintao Wang; Conglang Zhang; Yuxuan Lin; Ruihang Chu; Pengfei Wan; Yujiu Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Viewpoint Planning in 4D Scenes; Video Model
3114	Adapting Self-Supervised Representations as a Latent Space for Efficient Generation Authors: Ming Gui; Johannes Schusterbauer; Timy Phan; Felix Krause; Joshua M. Susskind; Miguel Ángel Bautista; Björn Ommer Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; visual synthesis; diffusion; flow matching
3115	Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling Authors: Christian Belardi; Justin Lovelace; Kilian Q Weinberger; Carla P Gomes Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Guided Diffusion Sampling; Plug-and-Play Conditional Diffusion Sampling; Adaptive Moment Estimation
3116	AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport Authors: Lingkai Kong; Molei Tao; Yang Liu; Bryan Wang; Jinmiao Fu; Chien-Chih Wang; Huidong Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow-based generative model; flow matching; Semi-discrete optimal transport
3117	Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation Authors: Min-Seop Kwak; Junho Kim; Sangdoo Yun; Dongyoon Han; Taekyung Kim; Seungryong Kim; Jin-Hwa Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Novel view synthesis; diffusion model
3118	Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models Authors: Bowei Chen; Sai Bi; Hao Tan; He Zhang; Tianyuan Zhang; Zhengqi Li; Yuanjun Xiong; Jianming Zhang; Kai Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Visual Tokenizer; Latent Diffusion Model; Foundation Encoder
3119	AlphaFlow: Understanding and Improving MeanFlow Models Authors: Huijie Zhang; Aliaksandr Siarohin; Willi Menapace; Michael Vasilkovsky; Sergey Tulyakov; Qing Qu; Ivan Skorokhodov Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; mean flows; mean flow models; few-step diffusion; one-step diffusion; generative models; imagenet
3120	An Ensemble Framework for Unbiased Language Model Watermarking Authors: Yihan Wu; Ruibo Chen; Georgios Milis; Heng Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM watermarking
3121	Analyzing and Evaluating Unbiased Language Model Watermark Authors: Yihan Wu; Xuehao Cui; Ruibo Chen; Heng Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM watermarking
3122	Anchor Frame Bridging for Coherent First-Last Frame Video Generation Authors: Xuehan Hou; Meng Fan; Pengchong Qiao; Zesen Cheng; Yian Zhao; Lei Zhu; Kaiwen Cheng; Chang Liu; Jie Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: First-Last Frame Video Generation
3123	Anime-Ready: Controllable 3D Anime Character Generation with Body-Aligned Component-Wise Garment Modeling Authors: Jiachen Qian; Hongye Yang; Youtian Lin; tianhao zhao; Feihu Zhang; Yao Yao; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D anime character generation; stylized body modeling; component-wise garment generation
3124	Antithetic Noise in Diffusion Models Authors: Jing Jia; Sifan Liu; Bowen Song; Wei Yuan; Liyue Shen; Guanyang Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion model; initial noise; uncertainty quantification
3125	Any-Order Flexible Length Masked Diffusion Authors: Jaeyeon Kim; Lee Cheuk Kit; Carles Domingo-Enrich; Yilun Du; Sham M. Kakade; Timothy Ngotiaoco; Sitan Chen; Michael Samuel Albergo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Generative Model; Discrete Diffusion; Stochastic Interpolant
3126	Any-step Generation via N-th Order Recursive Consistent Velocity Field Estimation Authors: Peng Sun; Tao Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models
3127	AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer Authors: Lingting Zhu; Shengju Qian; Haidi Fan; Jiayu Dong; Zhenchao Jin; SiweiZhou; Dong Gen; Xin Wang; Lequan Yu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Generation; Autoregressive Transformer; Modular 3D Assets
3128	Astra: General Interactive World Model with Autoregressive Denoising Authors: Yixuan Zhu; Feng Jiaqi; Wenzhao Zheng; Yuan Gao; Xin Tao; Pengfei Wan; Jiwen Lu; Jie Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: world model; video generation
3129	Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation Authors: Zijing Hu; Yunze Tong; Fengda Zhang; Junkun Yuan; Jun Xiao; Kun Kuang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Alignment
3130	Attention Is All You Need for KV Cache in Diffusion LLMs Authors: Quan Nguyen-Tri; Mukul Ranjan; Zhiqiang Shen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion LLMs; Attention-aware KV Cache Update; Layer-aware KV Cache Update
3131	AttriCtrl: A Generalizable Framework for Controlling Semantic Attribute Intensity in Diffusion Models Authors: Die Chen; Zhongjie Duan; Zhiwen Li; Cen Chen; Daoyuan Chen; Yaliang Li; Yinda Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion; Control Generation
3132	Autoregressive Image Generation with Randomized Parallel Decoding Authors: Haopeng Li; Jinyue Yang; Guoqi Li; Huan Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: autoregressive image generation; parallel decoding; next-token prediction
3133	Autoregressive-based Progressive Coding for Ultra-Low Bitrate Image Compression Authors: Ziyuan Zhang; Yichong Xia; Bin Chen; Tianwei Zhang; Hao Wang; Han Qiu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: lossy image compression; autoregressive model
3134	BAR: Refactor the Basis of Autoregressive Visual Generation Authors: Zhicong Tang; Dong Chen; Jianmin Bao; Baining Guo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Autoregressive Models; Autoregressive Visual Generation
3135	BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation Authors: Youping Gu; XIAOLONG LI; Yuhao Hu; Chen Minqi; Bohan Zhuang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: sparse attention; video generation; step distillation
3136	BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching Authors: Hanshuai Cui; Zhiqing Tang; Zhifei Xu; Zhi Yao; Wenyi Zeng; Weijia Jia Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Video Generation; Cache
3137	Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes Authors: Fangyu Ding; Ding Ding; Sijin Chen; Kaibo Wang; Peng Xu; Zijin Feng; Haoli Bai; Kai Han; Youliang Yan; Binhang Yuan; Jiacheng Sun Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion language model; deletion-insertion process; denoising score entropy
3138	Beyond Scattered Acceptance: Fast and Coherent Inference for DLMs via Longest Stable Prefixes Authors: Pengxiang Li; Jiayin Cai; Hongwei Xue; Kunyu Shi; Shilin Yan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion language model; efficent; block
3139	Beyond Text-to-Image: Liberating Generation with a Unified Discrete Diffusion Model Authors: Qingyu Shi; Jinbin Bai; Zhuoran Zhao; Wenhao Chai; Kaidong Yu; Jianzong Wu; Shuangyong Song; Yunhai Tong; Xiangtai Li; Xuelong Li; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: discrete diffusion; unified model
3140	BindWeave: Subject-Consistent Video Generation via Cross-Modal Integration Authors: Zhaoyang Li; Dongjun Qian; Kai Su; qishuai diao; Xiangyang Xia; Chang Liu; Wenfei Yang; Tianzhu Zhang; Zehuan Yuan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video generation; Diffusion models
3141	Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning Authors: Adnan Oomerjee; Zafeirios Fountas; Haitham Bou Ammar; Jun Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Information bottleneck; Generalisation; Large Language models; Latent space reasoning; Representation learning; Memory consolidation; KV-cache compression; Pre…
3142	BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models Authors: Yuming Li; Yikai Wang; Yuying zhu; Zhongyu Zhao; Ming Lu; Qi She; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Flow Matching; RLHF; GRPO; Efficient Training
3143	Bures-Wasserstein Flow Matching for Graph Generation Authors: Keyue Jiang; Jiahao Cui; Xiaowen Dong; Laura Toni Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Graph Generation; Flow Matching; Diffusion Models
3144	BézierFlow: Learning Bézier Stochastic Interpolant Schedulers for Few-Step Generation Authors: Yunhong Min; Juil Koo; Seungwoo Yoo; Minhyuk Sung Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Stochastic interpolants; Bézier functions; Diffusion models; flow models
3145	CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention Authors: Zhongzhu Zhou; Fengxiang Bie; Ziyan Chen; Zhenyu Zhang; Yibo Yang; Junxiong Wang; Ben Athiwaratkun; Xiaoxia Wu; Shuaiwen Leon Song Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multi Latent Attention; Covariance & Rank aware; Singular value decomposition
3146	CASteer: Cross-Attention Steering for Controllable Concept Erasure Authors: Tatiana Gaintseva; Andreea-Maria Oncescu; Chengcheng Ma; Ziquan Liu; Martin Benning; Gregory Slabaugh; Jiankang Deng; Ismail Elezi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: steering; diffusion; control; erasure
3147	CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow-Map Models Authors: Zheyuan Hu; Chieh-Hsin Lai; Yuki Mitsufuji; Stefano Ermon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow Map Models; Consistency Models; Mean Flow; Mid-Training; Diffusion Model; Generative Models
3148	CTRL&SHIFT: High-quality Geometry-Aware Object Manipulation in Visual Generation Authors: Penghui Ruan; Bojia Zi; Xianbiao Qi; Youze Huang; Rong Xiao; Pichao WANG; Jiannong Cao; Yuhui Shi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Image Editing; Video Editing
3149	CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models Authors: Karim Kadry; Shoaib A. Goraya; Ajay Manicka; Abdalla Abdelwahed; Naravich Chutisilp; Farhad R. Nezami; Elazer R Edelman Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Computational Geometry; Anatomy; Digital Twins; Diffusion Guidance
3150	Carré du champ flow matching: better quality-generalisation tradeoff in generative models Authors: Jacob Bamberger; Iolo Jones; Dennis Duncan; Michael M. Bronstein; Pierre Vandergheynst; Adam Gosztolai Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow matching; diffusion geometry; manifold learning; regularisation
3151	Catalog-Native LLM: Speaking Item-ID dialect with Less Entanglement for Recommendation Authors: Reza Shirkavand; Xiaokai Wei; Chen Wang; Zheng Hui; Heng Huang; Michelle Gong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Recommender Systems; Large Language Models; Mixture of Experts
3152	Causal-Steer: Disentangled Continuous Style Control without Parallel Corpora Authors: Qingsong Wang; Chang Yao; Jingyuan Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Controllable Generation; Activation Steering; Style Control; Large Language Models
3153	Choices Speak Louder than Questions Authors: Gyeongje Cho; Yeonkyoung So; Jaejin Lee Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: large language model; evaluation methodologies; multiple choice question
3154	ChronoEdit: Towards Temporal Reasoning for In-Context Image Editing and World Simulation Authors: Jay Zhangjie Wu; Xuanchi Ren; Tianchang Shen; Tianshi Cao; Kai He; Yifan Lu; Ruiyuan Gao; Enze Xie; Shiyi Lan; Jose M. Alvarez; Jun Gao; Sanja Fidler; Zian Wang; Huan Ling Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: image editing; generative models
3155	CineTrans: Learning to Generate Videos with Cinematic Transitions via Masked Diffusion Models Authors: Xiaoxue Wu; Bingjie Gao; Yu Qiao; Yaohui Wang; Xinyuan Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: multi-shot video generation
3156	Composition of Memory Experts for Diffusion World Models Authors: Sebastian Stapf; Pablo Acuaviva; Aram Davtyan; Paolo Favaro Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: World Model; Diffusion Model; Memory; Generative Models; Video Generation
3157	Composition of Pretrained Diffusion Models: A Logic-Based Calculus Authors: Peter Blohm; Vikas K Garg Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion; Score Composition; Logical Inference; Temperature Scaling; Fuzzy Logic
3158	Concept-TRAK: Understanding how diffusion models learn concepts through concept attribution Authors: Yong-Hyun Park; Chieh-Hsin Lai; Satoshi Hayakawa; Yuhta Takida; Naoki Murata; Wei-Hsiang Liao; Woosung Choi; Kin Wai Cheuk; Junghyun Koo; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Data attribution; Concept
3159	Condition Matters in Full-head 3D GANs Authors: Heyuan Li; Huimin Zhang; Yuda Qiu; Zhengwentai Sun; Keru Zheng; Lingteng Qiu; Peihao Li; Qi Zuo; Ce Chen; Yujian Zheng; Yuming Gu; Zilong Dong; Xiaoguang Han Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Head Synthesis; 3D Avatar; 3D-aware GANs
3160	Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting Authors: Yanfeng Yang; Siwei Chen; Pingping Hu; Zhaotong Shen; Yingjie Zhang; Zhuoran Sun; Shuai Li; Ziqi Chen; Kenji Fukumizu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Probabilistic Time Series Forecasting; Conditional Generation
3161	Consis-GCPO: Consistency-Preserving Group Causal Preference Optimization for Vision Customization Authors: Qiaoqiao Jin; Dong She; Siming Fu; Hualiang Wang; Mu Liu; Jidong Jiang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multi-Subject Personalized Generation; Diffusion Model; Reinforcement Learning
3162	ConsisDrive: Identity-Preserving Driving World Models for Video Generation by Instance Mask Authors: Zhuoran Yang; Yanyong Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Temporal Consistency; Video Generation
3163	Consistent Noisy Latent Rewards for Trajectory Preference Optimization in Diffusion Models Authors: Xiaole Xian; Xilin He; Wenting Chen; Wenshuang Liu; wenqi mu; Yancheng He; Liang Li; Yi Zhang; Xiangyu Yue Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Preference Alignment; Text-to-Image; Text-to-Video
3164	Consistent Text-to-Image Generation via Scene De-Contextualization Authors: Song Tang; Peihao Gong; Kunyu LI; Kai Guo; Boyu Wang; Mao Ye; Jianwei Dr. Zhang; Xiatian Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-Image generation; Identity-preserving; Prompt embedding editing; Scene contextualization
3165	Consolidating Reinforcement Learning for Multimodal Discrete Diffusion Models Authors: Tianren Ma; Mu Zhang; Yibing Wang; Qixiang Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: discrete diffusion; masked diffusion; math reasoning; image generation; reinforcement learning; GRPO
3166	Constrained Decoding of Diffusion LLMs with Context-Free Grammars Authors: Niels Mündler; Jasper Dekoninck; Martin Vechev Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion llm; constrained decoding; llm; code generation; json; multi-region infilling; fill in the middle; code synthesis
3167	Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges Authors: Andrea Testa; Søren Hauberg; Tamim Asfour; Leonel Rozo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Schrödinger Bridge; Generative Models; Hamiltonian; Contact Hamiltonian; Differential Geometry; Wasserstein metric
3168	Context Learning for Multi-Agent Discussion Authors: Xingyuan Hua; Sheng Yue; Xinyi Li; Yizhe Zhao; Jinrui Zhang; Ju Ren Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Language Models; Context Learning; Multi-agent discussion
3169	Continuous Audio Language Models Authors: Simon Rouard; Manu Orsini; Axel Roebel; Neil Zeghidour; Alexandre Défossez Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: audio language model; speech; music; consistency models; continuous modeling; streaming
3170	Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling Authors: Huangjie Zheng; Shansan Gong; Ruixiang ZHANG; Tianrong Chen; Jiatao Gu; Mingyuan Zhou; Navdeep Jaitly; Yizhe Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion; Language Modeling; Code generation; Image generation
3171	Contrastive Diffusion Guidance for Spatial Inverse Problems Authors: Sattwik Basu; Chaitanya Amballa; Zhongweiyang Xu; Jorge Vančo Sampedro; Srihari Nelakuditi; Romit Roy Choudhury Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Inverse Problems; Contrastive Learning; Spatial Inference
3172	CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design Authors: Hui Zhang; Dexiang Hong; Maoke Yang; Yutao Cheng; Zhao Zhang; Weidong Chen; Jie Shao; Xinglong Wu; Zuxuan Wu; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-Image generation; Controllable Image Generation; Diffusion Models
3173	Cross-ControlNet: Training-Free Fusion of Multiple Conditions for Text-to-Image Generation Authors: Xiang Liu; Junjun Jiang; Wei Han; Kui Jiang; Xianming Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Training free; Multi-Condition; Controllable Image Synthesis
3174	D-AR: Diffusion via Autoregressive Models Authors: Ziteng Gao; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: visual generation; diffusion models; autoregressive models; flow matching
3175	DanceTogether: Generating Interactive Multi-Person Video without Identity Drifting Authors: Junhao Chen; Mingjin Chen; Jianjin Xu; Xiang Li; Junting Dong; Mingze Sun; Puhua Jiang; Hongxiang Li; Yuhang Yang; Hao Zhao; Xiao-Xiao Long; Ruqi Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Controllable video generation; Multi-person Interactive Video Generation; Multi-person Pose Estimation; Multi-object Tracking
3176	DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models Authors: Mor Ventura; Michael Toker; Or Patashnik; Yonatan Belinkov; Roi Reichart Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: text-to-image; semantic leakage; computer vision; automatic evaluation; multimodal
3177	DeRaDiff: Denoising Time Realignment of Diffusion Models Authors: Ratnavibusena Don Shahain Manujith; Teoh Tze Tzun; Kenji Kawaguchi; Yang Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: alignment; diffusion models
3178	Deconstructing Guidance: A Semantic Hierarchy for Precise Diffusion Model Editing Authors: Wootaek Jeong; Junghyo Sohn; Jee Seok Yoon; Heung-Il Suk Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Image editing; Information Theory
3179	Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield Authors: Dongyang Liu; Peng Gao; David Liu; Ruoyi Du; Zhen Li; Qilong Wu; Xin Jin; Sihan Cao; Shifeng Zhang; Steven HOI; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Diffusion Distillation
3180	Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling Authors: Kyungmin Lee; Sihyun Yu; Jinwoo Shin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Few-step diffusion; Diffusion models; Flow-based models; generative models; diffusion transformer
3181	Deep Think with Confidence Authors: Yichao Fu; Xuewei Wang; Hao Zhang; Yuandong Tian; Jiawei Zhao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Language Model Reasoning
3182	DeepWeightFlow: Re-Basined Flow Matching for Generating Neural Network Weights Authors: Saumya Gupta; Scott Biggs; Moritz Laber; Zohair Shafi; Robin Walters; Ayan Paul Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: metanetworks; deep weight space; parameter space symmetry; flow matching; canonicalization
3183	Delay Flow Matching Authors: Bolin Zhao; Xiaoyu Zhang; Yuting Dong; Xin Lu; Wei Lin; Qunxi Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Flow Matching; Delay Differential Equations; Trajectory Intersection; Heterogeneous Distribution Transfer
3184	Demystifying Supervision Data Generalization in Multimodal LMs Authors: Xuan Qi; Luxi He; Dan Roth; Xingyu Fu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: MLLM
3185	Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability Authors: Rohan Asthana; Vasileios Belagiannis Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Memorization; Diffusion Models
3186	DiCache: Let Diffusion Model Determine Its Own Cache Authors: Jiazi Bu; Pengyang Ling; Yujie Zhou; Yibin Wang; Yuhang Zang; Dahua Lin; Jiaqi Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion model; generative model; inference acceleration
3187	Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value Authors: Yixian Xu; Shengjie Luo; Liwei Wang; Di He; Chang Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Generative Modeling; Optimal Loss Values; Training Strategies; Scaling Laws
3188	DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity Authors: Haowei Zhu; Ji Liu; Ziqiong Liu; Dong Li; Jun-Hai Yong; Bin Wang; Emad Barsoum Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion; Acceleration; Sparsity
3189	Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting Authors: Sergei Kholkin; Grigoriy Ksenofontov; David Li; Nikita Maksimovich Kornilov; Nikita Gushchin; Alexandra Suvorikova; Alexey Kroshnin; Evgeny Burnaev; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Schrödinger Bridge; Optimal Transport; Entropic Optimal Transport; Unpaired Learning
3190	Diffusion Alignment as Variational Expectation-Maximization Authors: Jaewoo Lee; Minsu Kim; Sanghyeok Choi; Inhyuck Song; Sujin Yun; Hyeongyu Kang; Woocheol Shin; Taeyoung Yun; Kiyoung Om; Jinkyoo Park Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Alignment; RLHF; Test time search
3191	Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models Authors: Min Cheng; Fatemeh Doudi; Dileep Kalathil; Mohammad Ghavamzadeh; Panganamala Kumar Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Reinforcement Learning; Multi-Objective Finetuning
3192	Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function Authors: Hyeongyu Kang; Jaewoo Lee; Woocheol Shin; Kiyoung Om; Jinkyoo Park Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; RL Finetuning
3193	Diffusion Models as Dataset Distillation Priors Authors: Duo Su; Huyu Wu; Huanran Chen; Yiming Shi; Yuzhu Wang; Xi Ye; Jun Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion mdoels; dataset distillation; diffusion priors; kernel method
3194	Diffusion Negative Preference Optimization Made Simple Authors: Joshua Tian Jin Tee; Hee Suk Yoon; Sunjae Yoon; Tri Ton; Chang D. Yoo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Text-to-image generation; Preference Alignment
3195	Diffusion Transformers with Representation Autoencoders Authors: Boyang Zheng; Nanye Ma; Shengbang Tong; Saining Xie Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Diffusion Models; Representation Learning; High-dimensional Diffusion
3196	DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation Authors: Makoto Shing; Masanori Koyama; Takuya Akiba Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: block-wise training; backpropagation-free training; memory-efficient training
3197	Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild Authors: Seunguk Do; Minwoo Huh; Joonghyuk Shin; Jaesik Park Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: single-view 3D human reconstruction; image-to-3D; multi-view diffusion model; alignment; post training
3198	Directional Textual Inversion for Personalized Text-to-Image Generation Authors: Kunhee Kim; NaHyeon Park; Kibeom Hong; Hyunjung Shim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: personalized generation; text-to-image models; textual inversion
3199	Discrete Bayesian Sample Inference for Graph Generation Authors: Ole Petersen; Marcel Kollovieh; Marten Lienen; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; graph generation; diffusion models; bayesian flow networks; bayesian sample inference; molecule generation
3200	Discrete Diffusion Trajectory Alignment via Stepwise Decomposition Authors: Jiaqi Han; Austin Wang; Minkai Xu; Wenda Chu; Meihua Dang; Haotian Ye; Huayu Chen; Yisong Yue; Stefano Ermon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: discrete diffusion models; preference optimization
3201	Disentangled Hierarchical VAE for 3D Human-Human Interaction Generation Authors: Zichen Geng; Zeeshan Hayder; Bo Miao; Jian Liu; Wei Liu; Ajmal Saeed Mian Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Human Motion; Human-Human Interaction; 3D CV; Motion Generation
3202	DistillKac: Few-Step Image Generation via Damped Wave Equations Authors: Weiqiao Han; Chenlin Meng; Christopher D Manning; Stefano Ermon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; Kac flow; damped wave equation; telegrapher equation; finite-speed probability flow; classifier-free guidance; endpoint distillation; few-st…
3203	Distillation of Large Language Models via Concrete Score Matching Authors: Yeongmin Kim; Donghyeok Shin; Mina Kang; Byeonghu Na; Il-chul Moon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Language Models; Knowledge Distillation; Score Matching
3204	Diverse Text-to-Image Generation via Contrastive Noise Optimization Authors: Byungjun Kim; Soobin Um; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Noise Optimization; Diverse Generation
3205	DragFlow: Unleashing DiT Priors with Region-Based Supervision for Drag Editing Authors: Zihan Zhou; Shilin Lu; Shuli Leng; Shaocong Zhang; Zhuming Lian; Xinlei Yu; Adams Wai-Kin Kong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Editing; Drag Editing; Diffusion Models
3206	Dragging with Geometry: From Pixels to Geometry-Guided Image Editing Authors: Xinyu Pu; Hongsong Wang; Jie Gui; Pan Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Drag-based Image Editing
3207	DreamSwapV: Mask-guided Subject Swapping for Any Customized Video Editing Authors: Weitao Wang; Zichen Wang; Hongdeng Shen; Yulei Lu; Xirui Fan; Suhui Wu; Jun Zhang; Haoqian Wang; Hao Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Editing; Video Customization; Video Inpainting; Diffusion Transformer; Computer Vision
3208	DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models Authors: Yinuo Ren; Wenhao Gao; Lexing Ying; Grant M. Rotskoff; Jiequn Han Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Inference-Time Scaling; Variance Reduction; Sequential Monte Carlo; Guidance
3209	Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation Authors: Xiaomeng Yang; Mengping Yang; GONG JIA; Luozheng Qin; Zhiyu Tan; Hao Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video generation; diffusion models; DPO
3210	Dual-Path Condition Alignment for Diffusion Transformers Authors: Changhao Peng; Yuqi Ye; Shuangjun Du; Wenxu Gao; Wei Gao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Transformer; Self-Supervised Learning; Representation Learning.
3211	Dual-Solver: A Generalized ODE Solver for Diffusion Models with Dual Prediction Authors: Soochul Park; Yeon Ju Lee Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Diffusion Models; Fast Sampling; ODE Solver
3212	DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies Authors: Wei Song; Yuran Wang; Zijia Song; Yadong Li; Zenan Zhou; Long Chen; Xu Jhua; Jiaqi Wang; Kaicheng Yu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: multimodal large language model; visual tokenizer
3213	Dynamic Classifier-Free Diffusion Guidance via Online Feedback Authors: Pinelopi Papalampidi; Olivia Wiles; Ira Ktena; Aleksandar Shtedritski; Emanuele Bugliarello; Ivana Kajic; Isabela Albuquerque; Aida Nematzadeh Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion; text-to-image generation; classifier-free guidance
3214	ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models Authors: Jewon Lee; Wooksu Shin; Seungmin Yang; Ki-Ung Song; DongUk Lim; Jaeyeon Kim; Tae-Ho Kim; Bo-Kyeong Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Efficient large vision-language model; Reinforcement learning; Multimodal reasoning; Reasoning for efficiency
3215	ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion Authors: Xurui Peng; Chenqian Yan; Hong Liu; Rui Ma; Fangmin Chen; XING WANG; Zhihua Wu; Songwei Liu; Mingbao Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion
3216	EasyCreator: Empowering 4D Creation through Video Inpainting Authors: Yue Ma; Kunyu Feng; Xinhua Zhang; Hongyu Liu; David Junhao Zhang; Jinbo Xing; Yinhan Zhang; Xiangpeng Yang; Xinyu Wang; Zeyu Wang; Qifeng Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion model; 4D video generation and editing
3217	EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion Generation Authors: Xiaofeng Tan; Wanjiang Weng; Haodong Lei; Hongsong Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: RLHF; Motion Generation; Differentiable Reward
3218	EchoGen: Generating Visual Echoes in Any Scene via Feed-Forward Subject-Driven Auto-Regressive Model Authors: Ruixiao Dong; Zhendong Wang; Keli Liu; Li Li; Ying Chen; Kai Li; Daowen Li; Houqiang Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Subject-driven Image Generation; Autoregressive Generation
3219	EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer Authors: Yuxiao Yang; Hualian Sheng; Sijia Cai; Jing Lin; Jiahao Wang; Bing Deng; Junzhe Lu; Haoqian Wang; Jieping Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Human Motion Generation
3220	Edit-Based Flow Matching for Temporal Point Processes Authors: David Lüdke; Marten Lienen; Marcel Kollovieh; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Modelling; Forecasting; Events; Sequences; Sets; Continuous Time; CTMC
3221	EffiVMT: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning Authors: Yue Ma; Yulong Liu; Qiyuan Zhu; Xiangpeng Yang; Kunyu Feng; Xinhua Zhang; Zexuan Yan; Zhifeng Li; Sirui Han; Chenyang Qi; Qifeng Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video diffusion transfer; Video motion transfer; Efficiency
3222	Efficient Zero-shot Inpainting with Decoupled Diffusion Guidance Authors: Badr MOUFAD; Yazid Janati; Navid Bagheri Shouraki; Alain Oliviero Durmus; Thomas Hirtz; Eric Moulines; Jimmy Olsson Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; zero-shot; guidance
3223	EgoTwin: Dreaming Body and View in First Person Authors: Jingqiao Xiu; Fangzhou Hong; Yicong Li; Mengze Li; Wentao Wang; Sirui Han; Liang Pan; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Egocentric Vision
3224	EigenScore: OOD Detection using Posterior Covariance in Diffusion Models Authors: Shirin Shoushtari; Yi Wang; Xiao Shi; Salman Asif; Ulugbek S. Kamilov Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: OOD detection; diffusion models; uncertainty estimation
3225	Emergent Coordination in Multi-Agent Language Models Authors: Christoph Riedl Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: multi-agent systems; LLMs; information decomposition; emergence; collective intelligence
3226	Endowing GPT-4 with a Humanoid Body: Building the Bridge Between Off-the-Shelf VLMs and the Physical World Authors: Yingzhao Jian; Zhongan Wang; Yi Yang; Hehe Fan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: human-scene interaction; VLM agent; motion generation
3227	Enhanced Generative Model Evaluation with Clipped Density and Coverage Authors: Nicolas Salvy; Hugues Talbot; Bertrand Thirion Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative model evaluation; Metrics; Density; Coverage
3228	Enhancing Hallucination Detection through Noise Injection Authors: Litian Liu; Reza Pourreza; Sunny Panchal; Apratim Bhattacharyya; Yubing Jian; Yao Qin; Roland Memisevic Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Bayesian Inference; Uncertainty Quantification; Hallucination Detection
3229	Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport Authors: Xavier Aramayo Carrasco; Grigoriy Ksenofontov; Aleksei Leonov; Iaroslav Sergeevich Koshelev; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Benchmark; Schrödinger Bridge; Entropic Optimal Transport; Optimal Transport; Unpaired Learning; Discrete Spaces; Discrete Diffusion Models; Generative Modeling
3230	Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance Authors: Inho Kong; Sojin Lee; Youngjoon Hong; Hyunwoo J. Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Classifier-free guidance
3231	Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model Authors: Anirud Aggarwal; Abhinav Shrivastava; Matthew Gwilliam Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion caching; image generation; efficient deep learning; diffusion transformers; inference acceleration
3232	Exploring the Design Space of Transition Matching Authors: Uriel Singer; Yaron Lipman Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow matching; transition matching; generative models
3233	FACM: Flow-Anchored Consistency Models Authors: Yansong Peng; Kai Zhu; Yu Liu; Pingyu Wu; Hebei Li; Xiaoyan Sun; Feng Wu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Generation; Consistency Model
3234	FAPO: Flawed-Aware Policy Optimization for Efficient and Reliable Reasoning Authors: Yuyang Ding; Chi Zhang; Juntao Li; Haibin Lin; Xin Liu; Min Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM Reasoning; Reinforcement Learning; Robust Learning
3235	FAST‑DIPS: Adjoint‑Free Analytic Steps and Hard‑Constrained Likelihood Correction for Diffusion‑Prior Inverse Problems Authors: Minwoo Kim; Seunghyeok Shin; Hongki Lim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Inverse problem; Image reconstruction; Diffusion models
3236	FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models Authors: Amin Karimi Monsefi; Nikhil Bhendawade; Manuel Rafael Ciosici; Dominic Culver; Yizhe Zhang; Irina Belousova Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion language model; few step generation; flow matching
3237	Factuality Matters: When Image Generation and Editing Meet Structured Visuals Authors: Le Zhuo; Songhao Han; Yuandong Pu; Boxiang Qiu; Sayak Paul; Yue Liao; Yihao Liu; Jie Shao; Xi Chen; Si Liu; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Modeling; Unified Model; Image Editing; Text-to-Image Generation; Benchmark
3238	FantasyWorld: Geometry-Consistent World Modeling via Unified Video and 3D Prediction Authors: Yixiang Dai; Fan Jiang; Chiyu Wang; Mu Xu; Yonggang Qi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: World Model; Video Generation; 3D Genearation; 3D-aware video generation
3239	FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference Authors: Divya Jyoti Bajpai; Dhruv Bhardwaj; Soumya Roy; Tejas Duseja; Harsh Agarwal; Aashay Sandansing; Manjesh Kumar Hanawal Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative modelling; faster inference.
3240	FastVMT: Eliminating Redundancy in Video Motion Transfer Authors: Yue Ma; Zhikai Wang; Tianhao Ren; Mingzhe Zheng; Hongyu Liu; Jiayi Guo; Kunyu Feng; Yuxuan Xue; Zixiang Zhao; Konrad Schindler; Qifeng Chen; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Motion Transfer; Efficiency; Diffusion model
3241	Fastcar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge Authors: Xuan Shen; Weize Ma; Yufa Zhou; Enhao Tang; Yanyue Xie; Zhengang Li; Yifan Gong; Quanyi Wang; Henghui Ding; Yiwei Wang; Pu Zhao; Jun Lin; Jiuxiang Gu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Efficient Video Generation; Auto-Regressive Video Generation
3242	FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation Authors: Kaiyi Huang; Yukun Huang; Xintao Wang; Zinan Lin; Xuefei Ning; Pengfei Wan; Di ZHANG; Yu Wang; Xihui Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video generation; filmmaking
3243	Fine-Tuning Diffusion Models via Intermediate Distribution Shaping Authors: Gautham Govind Anil; Shaan Ul Haque; Nithish Kannen; Dheeraj Mysore Nagaraj; Sanjay Shakkottai; Karthikeyan Shanmugam Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion; fine-tuning; reinforcement learning
3244	Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants Authors: Yuhao Liu; Yu Chen; Rui Hu; Longbo Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Stochastic Interpolants; Diffusion Models; Deterministic Sampler
3245	FlashDLM: Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion Authors: Zhanqiu Hu; Jian Meng; Yash Akhauri; Mohamed S. Abdelfattah; Jae-sun Seo; Zhiru Zhang; Udit Gupta Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Diffusion Language Model; Inference Speed; Language Models; Efficient Inference
3246	FlexiCodec: A Dynamic Neural Audio Codec for Low Frame Rates Authors: Jiaqi Li; Yao Qian; Yuxuan Hu; leying zhang; Xiaofei Wang; Heng Lu; Manthan Thakker; Jinyu Li; sheng zhao; Zhizheng Wu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Audio coding; neural audio codecs; speech language model
3247	Flow Along the $K$-Amplitude for Generative Modeling Authors: weitao Du; Jiasheng Tang; Shuning Chang; Yu Rong; Fan Wang; Shengchao Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; frequency transformation; image generation; ai for science; molecule assembly
3248	Flow Caching for Autoregressive Video Generation Authors: Yuexiao Ma; Xuzhe Zheng; Jing Xu; Xiwei Xu; Feng Ling; Xiawu Zheng; Huafeng Kuang; Huixia Li; XING WANG; Xuefeng Xiao; Fei Chao; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Autoregressive video generation; chunkwise caching; KV cache compression; ultra-long video synthesis; video acceleration
3249	Flow Matching with Semidiscrete Couplings Authors: Alireza Mousavi-Hosseini; Stephen Y. Zhang; Michal Klein; marco cuturi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow matching; optimal transport; semidiscrete optimal transport
3250	Flow Straight and Fast in Hilbert Space: Functional Rectified Flow Authors: Jianxin Zhang; Clayton Scott Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Hilbert space; superposition principle
3251	FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing Authors: Jeongsol Kim; Yeobin Hong; Jonghyun Park; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow models; image editing; inversion-free
3252	FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows Authors: Yeonwoo Cha; Semin Kim; Jinhyeon Kwon; Seunghoon Hong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative models; Flow matching; any-to-any generation
3253	FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching Authors: Divya Jyoti Bajpai; Shubham Agarwal; Apoorv Saxena; Kuldeep Kulkarni; Subrata Mitra; Manjesh Kumar Hanawal Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow Matching; Speculative Decoding; Inference Acceleration; Training-Free; Generative Models; Zero-Cost Drafts; Parallel Verification; Adaptive Sampling
3254	Flower: A Flow-Matching Solver for Inverse Problems Authors: Mehrsa Pourya; Bassam El Rawas; Michael Unser Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Inverse Problems; Image Reconstruction; Generative Modeling; Flow Matching; Ancestral Sampling
3255	Follow-Your-Preference: Towards Preference-Aligned Image Inpainting Authors: Yutao Shen; Junkun Yuan; Toru Aonishi; Hideki Nakayama; Jack Ma Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Inpainting; Preference Alignment; Diffusion Models; Flow-based Models
3256	Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models Authors: Yu Zhang; Xingzhuo Guo; Haoran Xu; Jialong Wu; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; flow-based models; predictive learning; generative models
3257	Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models Authors: Kaiyuan Deng; Gen Li; Yang Xiao; Bo Hui; Xiaolong Ma Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: machine unlearning; large-scale unlearning; diffusion model
3258	Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster Authors: Grigory Bartosh; Teodora Pandeva; Sushrut Karmalkar; Javier Zazo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion; generative models; variational inference
3259	Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models Authors: Sangwon Jang; Taekyung Ki; Jaehyeong Jo; Jaehong Yoon; Soo Ye Kim; Zhe Lin; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: controllable video generation; training-free guidance; video diffusion models
3260	Frayed RoPE and Long Inputs: A Geometric Perspective Authors: Davis Wertheimer; Aozhong Zhang; Derrick Liu; Penghang Yin; Naigang Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: RoPE; context length extension; sink tokens; clustering; attention; long context; transformer; language model
3261	Free Lunch for Stabilizing Rectified Flow Inversion Authors: Chenru Wang; Beier Zhu; Chi Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow Inversion; Rectified Flow; Image Editing
3262	FreeViS: Training-free Video Stylization with Inconsistent References Authors: Jiacong Xu; Yiqun Mei; Ke Zhang; Vishal M. Patel Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Style Transfer; Video Editing; Video Diffusion
3263	From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation Authors: Cheng Cheng; Lin Song; Di An; Yicheng Xiao; Xuchong Zhang; Hongbin Sun; Ying Shan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Auto-Regressive Image Generation; Discrete Diffusion
3264	FullPart: Generating each 3D Part at Full Resolution Authors: Lihe Ding; Shaocong Dong; Yaokun Li; Chenjian Gao; Xiao Chen; Rui Han; Yihao Kuang; Hong Zhang; Bo Huang; Zhanpeng Huang; Zibin Wang; Dan Xu; Tianfan Xue Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Generation; Diffusion Model; Part Generation
3265	FutureFill: Fast Generation from Convolutional Sequence Models Authors: Naman Agarwal; Xinyi Chen; Evan Dogariu; Devan Shah; Hubert Strauss; Vladimir Feinberg; Daniel Suo; Peter Bartlett; Elad Hazan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: convolutional models; fast inference
3266	GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver Authors: Aleksandr Oganov; Ilya Bykov; Eva Neudachina; Mishan Aliev; Alexander Tolmachev; Alexander Sidorov; Zuev Aleksandr; Andrey Okhotin; Denis Rakitin; Aibek Alanov Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; diffusion acceleration; diffusion distillation; ODE solvers; adversarial training
3267	GGBall: Graph Generative Model on Poincaré Ball Authors: Tianci Bu; Chuanrui Wang; Hao Ma; Haoren Zheng; Xin Lu; Tailin Wu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Hyperbolic Space; Graph Generation; Flow Matching
3268	GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs Authors: Aryan Yazdan Parast; Parsa Hosseini; Hesam Asadollahzadeh; Arshia Soltani Moakhar; Basim Azam; Soheil Feizi; NAVEED AKHTAR Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Hallucinations; Multimodal Large Language Models; Spurious Correlations
3269	GarmentGPT: Compositional Garment Pattern Generation via Discrete Latent Tokenization Authors: Fangsheng Weng; Junhao Chen; Xiang Li; Jie Qin; Hanzhong Guo; ShaochunHao; Xiaoguang Han Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Garment Generation; vision language models
3270	Gauge Flow Matching: Efficient Constrained Generative Modeling over General Convex Set and Beyond Authors: Xinpeng Li; Enming Liang; Minghua Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: constraint; generative models; homeomorphism; convex constraints; gauge mapping
3271	GenCompositor: Generative Video Compositing with Diffusion Transformer Authors: Shuzhou Yang; Xiaoyu Li; Xiaodong Cun; Guangzhi Wang; Lingen Li; Ying Shan; Jian Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Video Editing; Video Compositing
3272	Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds Authors: Oscar Davis; Michael Samuel Albergo; Nicholas Matthew Boffi; Michael M. Bronstein; Joey Bose Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative modelling; Riemannian geometry; few-step generative modelling
3273	Generalization of Diffusion Models Arises with a Balanced Representation Space Authors: Zekai Zhang; Xiao Li; Xiang Li; Lianghe Shi; Meng Wu; Molei Tao; Qing Qu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; representation learning; generalization; memorization; denoising autoencoders
3274	Generating Directed Graphs with Dual Attention and Asymmetric Encoding Authors: Alba Carballo-Castro; Manuel Madeira; Yiming QIN; Dorina Thanou; Pascal Frossard Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: graph generation; directed graphs; flow matching; discrete diffusion
3275	Generation then Reconstruction: Accelerating Masked Autoregressive Models via Two-Stage Sampling Authors: Feihong Yan; Yao Zhu; Peiru Wang; Pang Kaiyu; Qingyan Wei; Huiqi Li; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generation then reconstruction; acceleration; masked autoregregrassive model; image synthesis
3276	Generative Blocks World: Moving Things Around in Pictures Authors: Vaibhav Vavilala; Seemandhar Jain; Rahul Vasanth; David Forsyth; Anand Bhattad Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D primitives; Diffusion Models
3277	Generative Modeling from Black-Box Corruptions via Self-Consistent Stochastic Interpolants Authors: Chirag Modi; Jiequn Han; Eric Vanden-Eijnden; Joan Bruna Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; corrupted data; inverse problems; stochastic interpolants
3278	Generative View Stitching Authors: Chonghyuk Song; Michal Stary; Boyuan Chen; George Kopanas; Vincent Sitzmann Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Long Video Generation; Camera-guided Video Generation; Video Diffusion Models
3279	Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling Authors: Haoyu Wu; Diankun Wu; Tianyu He; Junliang Guo; Yang Ye; Yueqi Duan; Jiang Bian Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; Video Generation; World Modeling
3280	GoR: A Unified and Extensible Generative Framework for Ordinal Regression Authors: Hongxu Ma; Han Zhou; Kai Tian; Xuefeng Zhang; Chunjie Chen; Han Li; Jihong Guan; Shuigeng Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Ordinal Regression; Generative Regression; Vocabulary Design
3281	Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models Authors: Dung Anh Hoang; Cuong Pham; Trung Le; Jianfei Cai; Thanh-Toan Do Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Quantization; Diffusion
3282	Grounding and Enhancing Informativeness and Utility in Dataset Distillation Authors: Shaobo Wang; Yantai Yang; Guo Chen; Peiru Li; Kaixin Li; Yufa Zhou; Zhaorun Chen; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Explainable AI; Generative AI
3283	Group Critical-token Policy Optimization for Autoregressive Image Generation Authors: Guohui Zhang; Hu Yu; Xiaoxiao Ma; JingHao Zhang; Yaning Pan; Mingde Yao; Jie Xiao; Linjiang Huang; Jie Huang; Feng Zhao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Autoregressive Image Generation; Text-to-Image Generation; Reinforcement learning
3284	Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation Authors: Dian Xie; Shitong Shao; Lichen Bai; zikai zhou; Bojun Cheng; Shuo Yang; WU JUN; Zeke Xie Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Classifier-free Guidance; Text-to-Image Generation
3285	GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time Authors: Divij Handa; Mihir Parmar; Aswin RRV; Md Nayem Uddin; Hamid Palangi; Chitta Baral Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Inference-time algorithms; LLMs
3286	Gumbel Distillation for Parallel Text Generation Authors: Chi Zhang; Xixi Hu; Bo Liu; qiang liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Parallel Decoding; Non-Autoregressive Generation; Knowledge Distillation
3287	HOG-Diff: Higher-Order Guided Diffusion for Graph Generation Authors: Yiming Huang; Tolga Birdal Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Topology; Topological Deep Learning; Graph Generation; Higher order; Guidance
3288	Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion Authors: Aditya Shankar; Yuandou Wang; Rihan Hai; Lydia Y. Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Conditional generation; Tabular diffusion; Manifold learning
3289	HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models Authors: Seyedmorteza Sadat; Farnood Salehi; Romann M. Weber Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; sampling; classifier-free guidance
3290	Hierarchical Multi-Scale Molecular Conformer Generation Authors: Jiapeng Hu; Weizhi Gao; Zhichao Hou; Xiaorui Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Molecular conformer generation; Generative models
3291	HoloPart: Generative 3D Part Amodal Segmentation Authors: Yunhan Yang; Yuan-Chen Guo; Yukun Huang; Zi-Xin Zou; Zhipeng Yu; Yangguang Li; Yan-Pei Cao; Xihui Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Generation; 3D Segmentation; 3D Part
3292	Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering Authors: Jian Lan; Zhicheng Liu; Udo Schlegel; Raoyuan Zhao; Yihong Liu; Hinrich Schuetze; Michael A. Hedderich; Thomas Seidl Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Vision-Language Model; Visual Question Answering
3293	Hyperspherical Latents Improve Continuous-Token Autoregressive Generation Authors: Guolin Ke; HUI XUE Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: autoregressive generation; image generation; diffusion
3294	I-DRUID: Layout to image generation via instance-disentangled representation and unpaired data Authors: Fengxiang Yang; Tianyi Zheng; Bangjie Yin; Shice Liu; Jinwei Chen; Peng-Tao Jiang; Bo Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; reinforcement learning
3295	IC-Custom: Diverse Image Customization via In-Context Learning Authors: Yaowei Li; Xiaoyu Li; Zhaoyang Zhang; Yuxuan Bian; Gan Liu; Xinyuan Li; Jiale Xu; Wenbo Hu; yating liu; Lingen Li; Jing Cai; Yuexian Zou; Yancheng He; Ying Shan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: image customization; image generation; image editing; diffusion model; diffusion transformer
3296	IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs Authors: Yuzhen Mao; Qitong Wang; Martin Ester; Ke Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM Inference; KV-cahce Optimization; Sparse Attention
3297	ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation Authors: Rotem Shalev Arkushin; Rinon Gal; Amit H. Bermano; Ohad Fried Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: RAG; image generation; rare-concept generation
3298	Improving Autoregressive Video Modeling with History Understanding Authors: Wenyang Luo; Haina Qin; Bing Li; Jiwen Lu; Xin Tao; Pengfei Wan; Kun Gai Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: autoregressive video generation; diffusion models
3299	Improving Classifier-Free Guidance in Masked Diffusion: Low-Dim Theoretical Insights with High-Dim Impact Authors: Kevin Rojas; Ye He; Chieh-Hsin Lai; Yuhta Takida; Yuki Mitsufuji; Molei Tao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: discrete diffusion; conditional generation; guidance
3300	Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies Authors: Chunsan Hong; Seonho An; Min-Soo Kim; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: discrete diffusion models; masked diffusion models; reinforcement learning
3301	Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization Authors: Kevin Rojas; Jiahe Lin; Kashif Rasul; Anderson Schneider; Yuriy Nevmyvaka; Molei Tao; Wei Deng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: reinforcement learning; discrete diffusion; diffusion language models
3302	Improving the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language Models Authors: Weiqing He; Xiang Li; Li Shen; Weijie J Su; Qi Long Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Watermark; LLM decoding; Speculative Sampling
3303	InfBaGel: Human-Object-Scene Interaction Generation with Dynamic Perception and Iterative Refinement Authors: Yude Zou; Junji Gong; Xing Gao; Zixuan Li; Tianxing Chen; Guanjie Zheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Interaction Generation; Consistency Model; Human Motion
3304	Inference-Time Scaling of Discrete Diffusion Models via Importance Weighting and Optimal Proposal Design Authors: Zijing Ou; Chinmay Pani; Yingzhen Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: discrete diffusion; test-time scaling; reward aligntment
3305	InfoBridge: Mutual Information estimation via Bridge Matching Authors: Sergei Kholkin; Ivan Butakov; Evgeny Burnaev; Nikita Gushchin; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Mutual Information; Diffusion Bridge Models; Bridge Matching
3306	InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions Authors: Zhenzhi Wang; Jiaqi Yang; Jianwen Jiang; Chao Liang; Gaojie Lin; Zerong Zheng; Ceyuan Yang; Yuan Zhang; Mingyuan Gao; Dahua Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: talking person video generation; multi-concept video customization
3307	Interaction Field Matching: Overcoming Limitations of Electrostatic Models Authors: S. I. Manukhov; Alexander Kolesov; V.V. Palyulin; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; distribution transfer; electrostatics
3308	Interp3D: Correspondence-aware Interpolation for Generative Textured 3D Morphing Authors: Xiaolu Liu; Yicong Li; Qiyuan He; Jiayin Zhu; Wei Ji; Angela Yao; Jianke Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image-to-3D generation; Textured 3D Morphing
3309	JAPAN: Joint Adaptive Prediction Areas with Normalising Flow Authors: Eshant English; Christoph Lippert Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Uncertainty Quantification; Normalising Flows; Joint Prediction Areas
3310	JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation Authors: Kai Liu; Yanhao Zheng; Kai Wang; Shengqiong Wu; Rongjunchen Zhang; Jiebo Luo; Dimitrios Hatzinakos; Ziwei Liu; Hao Fei; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: AIGC; Diffusion Model; Sounding Video Generation; Text-to-Audio-Video Generation; Joint Audio-Video Generation; Video Generation
3311	JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization Authors: Kai Liu; Wei Li; Lai Chen; Shengqiong Wu; Yanhao Zheng; Jiayi Ji; Fan Zhou; Jiebo Luo; Ziwei Liu; Hao Fei; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Transformer; Joint Audio-Video Generation; Text-to-Audio-Video Generation; Video Generation
3312	Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models Authors: Xinyue Ai; Yutong He; Albert Gu; Ruslan Salakhutdinov; J Zico Kolter; Nicholas Matthew Boffi; Max Simchowitz Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow matching; distillation models; fast likelihood evaluation; fast sampling; generative models
3313	LS-Merge: Merging Language Models in Latent Space Authors: Bedionita Soro; Aoxuan Silvia Zhang; Bruno Andreis; Jaehyeong Jo; Song Chong; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LS-Merge; LLM merging; latent space; weight space learning
3314	LaTo: Landmark-tokenized Diffusion Transformer for Fine-grained Human Face Editing Authors: Zhenghao Zhang; Ziying Zhang; Junchao Liao; Xiangyu Meng; Qiang Hu; Siyu Zhu; Xiaoyun Zhang; Long Qin; Weizhi Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Editing; Face Editing; Identity Preservation; Landmark-tokenized
3315	LapFlow: Laplacian Multi-scale Flow Matching for Generative Modeling Authors: Zelin Zhao; Petr Molodyk; Haotian Xue; Yongxin Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow matching; multi-scale; generative modeling; image generation
3316	Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency Authors: Kaiwen Zheng; Yuji Wang; Qianli Ma; Huayu Chen; Jintao Zhang; Yogesh Balaji; Jianfei Chen; Ming-Yu Liu; Jun Zhu; Qinsheng Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Distillation; Consistency Models; Few-Step Generation; MeanFlow
3317	Latent Denoising Makes Good Tokenizers Authors: Jiawei Yang; Tianhong Li; Lijie Fan; Yonglong Tian; Yue Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Tokenizer; Image Generative Models; Representation Learning
3318	Latent Diffusion Model without Variational Autoencoder Authors: Minglei Shi; Haolin Wang; Wenzhao Zheng; Ziyang Yuan; Xiaoshi Wu; Xintao Wang; Pengfei Wan; Jie Zhou; Jiwen Lu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative model; deep learning; self-supervised learning
3319	Latent Stochastic Interpolants Authors: Saurabh Singh; Dmitry Lagun Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Stochastic Interpolants; Flow Models
3320	Latent Wavelet Diffusion For Ultra High-Resolution Image Synthesis Authors: Luigi Sigillo; Shengfeng He; Danilo Comminiello Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Diffusion Models; Wavelet; Ultra High-Resolution
3321	LayerSync: Self-aligning Intermediate Layers Authors: Yasaman Haghighi; Bastien Van Delft; Mariam Hassan; Alexandre Alahi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Self distillation
3322	LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence Authors: Zixin Yin; Xili Dai; Duomin Wang; Xianfang Zeng; Lionel Ni; Gang YU; Heung-Yeung Shum Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion; DiT; Image Editing
3323	Learn to Guide Your Diffusion Model Authors: Alexandre Galashov; Ashwini Pokle; Arnaud Doucet; Arthur Gretton; Mauricio Delbracio; Valentin De Bortoli Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Classifier-free Guidance; Conditional sampling; generative mode
3324	LearnIR: Learnable Posterior Sampling for Real-World Image Restoration Authors: Yihang Bao; Zhen Huang; Shanyan Guan; Songlin Yang; Yanhao Ge; Wei Li; Bukun Huang; Zengmin Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image restoration; diffusion model; residual
3325	Learning Correlated Reward Models: Statistical Barriers and Opportunities Authors: Yeshwanth Cherapanamjeri; Constantinos Costis Daskalakis; Gabriele Farina; Sobhan Mohammadpour Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: reward model; RLHF; choice model; random utility model
3326	Learning Patient-Specific Disease Dynamics With Latent Flow Matching For Longitudinal Imaging Generation Authors: Hao Chen; Rui Yin; Yifan Chen; Qi Chen; Chao Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Medical Image Generation; Longitudinal Analysis; Flow Matching
3327	Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control Authors: Xiao Fu; Xintao Wang; Xian Liu; Jianhong Bai; Runsen Xu; Pengfei Wan; Di ZHANG; Dahua Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Robotic Manipulation; Trajectory Control; Video-to-Policy
3328	Learning an Image Editing Model without Image Editing Pairs Authors: Nupur Kumari; Sheng-Yu Wang; Nanxuan Zhao; Yotam Nitzan; Yuheng Li; Krishna Kumar Singh; Richard Zhang; Eli Shechtman; Jun-Yan Zhu; Xun Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; image editing; unsupervised learning; personalization; customization
3329	Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization Authors: Xinxin Liu; Ming Li; Zonglin Lyu; Yuzhang Shang; Chen Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model
3330	Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme Authors: Mikhail Persiianov; Jiawei Chen; Petr Mokrov; Alexander Tyurin; Evgeny Burnaev; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: population dynamics; JKO scheme; inverse problem
3331	Light-X: Generative 4D Video Rendering with Camera and Illumination Control Authors: Tianqi Liu; Zhaoxi Chen; Zihao Huang; Shaocong Xu; Saining Zhang; Chongjie Ye; Bohan Li; Zhiguo Cao; Wei Li; Hao Zhao; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Controllable Video Generation; Video Relighting; Joint Camera–Illumination Control
3332	LightCtrl: Training-free Controllable Video Relighting Authors: Yizuo Peng; Xuelin Chen; Kai Zhang; Xiaodong Cun Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video relighting; controllable video editing
3333	LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference Authors: Jianhao Yuan; Fabio Pizzati; Francesco Pinto; Lars Kunze; Ivan Laptev; Paul Newman; Philip Torr; Daniele De Martini Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generative Model; Video Diffusion Model; Intuitive Physics Understanding
3334	LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters Authors: Vladimir Bogachev; Vladimir Aletov; Alexander Molozhavenko; Denis Bobkov; Vera Soboleva; Aibek Alanov; Maxim Rakhuba Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Low-rank Adaption; Fine-tuning; Smooth manifolds; Riemannian optimization; Fixed matrix rank manifold; LLM; Diffusion Models
3335	LoRAGen: Structure-Aware Weight Space Learning for LoRA Generation Authors: Hao Huang; Jingtao Ding; Mengqi Liao; Xin Wang; Jinyang Ban; Yuan Yuan; Huaiyu Wan; Yong Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Weight space learning; hypernetworks; LoRA; latent diffusion
3336	Logit‑KL Flow Matching: Non‑Autoregressive Text Generation via Sampling‑Hybrid Inference Authors: Egor Sevriugov; Nikita Dragunov; Anton Razzhigaev; Andrey Kuznetsov; Ivan Oseledets Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow Matching; NAR text generation
3337	Long-Context Generalization with Sparse Attention Authors: Pavlo Vasylenko; Hugo Pitorro; Andre Martins; Marcos Vinicius Treviso Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: long-context; sparse attention; length generalisation
3338	Long-Text-to-Image Generation via Compositional Prompt Decomposition Authors: Jen-Yuan Huang; Tong Lin; Yilun Du Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Compositional Generative Model; Text-to-Image Model; Compositional Generalization
3339	LongLive: Real-time Interactive Long Video Generation Authors: Shuai Yang; Wei Huang; Ruihang Chu; Yicheng Xiao; Yuyang Zhao; Xianbang Wang; Muyang Li; Enze Xie; Ying-Cong Chen; Yao Lu; Song Han; Yukang Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Real-time; Interactive; Long Video Generation
3340	Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall Authors: Mingyu Jo; Jaesik Yoon; Justin Deschenaux; Caglar Gulcehre; Sungjin Ahn Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete Diffusion; Generative Models; Deterministic Latent Pathway; Self-Conditioning
3341	LouisKV: Efficient KV Cache Retrieval for Long Input-Output Sequences Authors: Wenbo Wu; Qingyi Si; Xiurui Pan; Ye Wang; Jie Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLMs; KV cache retrieval; LLM inference acceleration
3342	Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective Authors: Hangjie Yuan; Weihua Chen; Jun CEN; Hu Yu; Jingyun Liang; Shuning Chang; Zhihui Lin; Tao Feng; Pengwei Liu; Jiazheng Xing; Hao Luo; Jiasheng Tang; Fan Wang; Yi Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video generation; autoregressive models; unified models
3343	LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation Authors: Jiazheng Xing; Fei Du; Hangjie Yuan; Pengwei Liu; Hongbin Xu; Hai Ci; Ruigang Niu; Weihua Chen; Fan Wang; Yong Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Video Customization; Diffusion Models; Multi-Subject Generation; Face-Attribute Alignment
3344	Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation Authors: Sherwin Bahmani; Tianchang Shen; Jiawei Ren; Jiahui Huang; Yifeng Jiang; Haithem Turki; Andrea Tagliasacchi; David B. Lindell; Zan Gojcic; Sanja Fidler; Huan Ling; Jun Gao; Xuanch… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3d; video diffusion; gaussian splatting
3345	MAGREF: Masked Guidance for Any-Reference Video Generation with Subject Disentanglement Authors: Yufan Deng; Yuanyang Yin; Xun Guo; Yizhi Wang; Jacob Zhiyuan Fang; Shenghai Yuan; Yiding Yang; Angtian Wang; Bo Liu; Haibin Huang; Chongyang Ma Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video generation; Diffusion models
3346	MATRIX: Mask Track Alignment for Interaction-aware Video Generation Authors: Siyoon Jin; Seongchan Kim; Jae Ho Lee; Dahyun Chung; Hyunwook Choi; Jisu Nam; Jiyoung Kim; Seungryong Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video generative model
3347	MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head Authors: Kewei Zhang; Ye Huang; Yufan Deng; Jincheng YU; Junsong Chen; Huan Ling; Enze Xie; Daquan Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Linear Attention; Model Architecture; Efficiency
3348	MILR: Improving Multimodal Image Generation via Test-Time Latent Reasoning Authors: Yapeng Mi; Yanpeng Zhao; Hengli Li; Chenxi Li; Huimin Wu; Xiaojian Ma; Song-Chun Zhu; Ying Nian Wu; Qing Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Generation; Test-Time; Latent Reasoning
3349	MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Authors: Dong She; Siming Fu; Mushui Liu; Qiaoqiao Jin; Hualiang Wang; Mu Liu; Jidong Jiang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multi-Subject Personalized Generation; Diffusion Model
3350	MOSS: Efficient and Accurate FP8 LLM Training with Microscaling and Automatic Scaling Authors: Yu Zhang; Hui-Ling Zhen; Mingxuan Yuan; Bei Yu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM training; FP8; tensor scaling
3351	MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation Authors: Yanbo Ding; Xirui Hu; Guo Zhi Zhi; Yan Zhang; Xinrui Wang; Zhixiang He; Chi Zhang; Yali Wang; Xuelong Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Character Animation; Motion Tokenization; Video Generation
3352	MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning Authors: Jinhua Zhang; Wei Long; Minghao Han; Weiyi You; Shuhang Gu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Generation; Next-Scale Prediction; Markovian Conditioning
3353	MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion Authors: Minjung Shin; Hyunin Cho; Sooyeon Go; Jin-Hwa Kim; Youngjung Uh Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multi-view customization; Multi-view generation; Customizaton; Personalization; Diffusion models
3354	Many-for-Many: Unify the Training of Multiple Video and Image Generation and Manipulation Tasks Authors: Ruibin Li; Tao Yang; Yangming Shi; Weiguo Feng; Shilei Wen; BINGYUE PENG; Lei Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video generation; image generation; unified framework
3355	Massive Activations are the Key to Local Detail Synthesis in Diffusion Transformers Authors: Chaofan Gan; Zicheng Zhao; Yuanpeng Tu; Xi Chen; Ziran Qin; Tieyuan Chen; Mehrtash Harandi; Weiyao Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Massive Activations; Diffusion Transformers; Visual Detail Synthesis
3356	MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference Authors: Huanlin Gao; Ping Chen; Fuyuan Shi; Ruijia Wu; Li YanTao; Qiang Hui; Youyuren; Ting Lu; Chao Tan; Shaoan Zhao; Zhaoxiang Liu; Fang Zhao; Kai Wang; Shiguo Lian Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow Matching; Model Acceleration; Caching Mechanism; Training-Free
3357	Measurement Score-Based Diffusion Model Authors: Chicago Y. Park; Shirin Shoushtari; Hongyu An; Ulugbek S. Kamilov Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; generative models; inverse problems; learning from measurements; learning without ground-truth
3358	Micro-Macro Retrieval: Reducing Long-Form Hallucination in Large Language Models Authors: Yujie Feng; Jian Li; Zhihan Zhou; Pengfei Xu; Yujia Zhang; xiaoyu li; Xiaohui Zhou; Alan Zhao; Xi Chen; Xiao-Ming Wu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Hallucination; Long-form Hallucination; Large Language Models
3359	Mitigating Noise Shift in Denoising Generative Models with Noise Awareness Guidance Authors: Jincheng Zhong; Boyuan Jiang; Xin Tao; Pengfei Wan; Kun Gai; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; generative models; training-inference misalignment; noise awareness; guidance
3360	Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment Authors: Anh Tuan Bui; Thuy-Trang Vu; Trung Le; Junae Kim; Tamas Abraham; Rollin Omari; Amardeep Kaur; Dinh Phung Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Personalization; Diffusion Models; Test-Time Computing
3361	MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models Authors: Aritra Bhowmik; Denis Korzhenkov; Cees G. M. Snoek; Amir Habibian; Mohsen Ghafoorian Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video diffusion models; physical plausability
3362	MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation Authors: Weinan Jia; Yuning Lu; Mengqi Huang; Hualiang Wang; Binyuan Huang; Nan Chen; Mu Liu; Jidong Jiang; Zhendong Mao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video generation
3363	MoSA: Motion-Coherent Human Video Generation via Structure-Appearance Decoupling Authors: Haoyu Wang; Hao Tang; Donglin Di; Zhilu Zhang; Wangmeng Zuo; Feng Gao; Siwei Ma; Shiliang Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Human Video Generation; Coherent Video Generation; Human Video Dataset
3364	Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter Authors: Weizhi Zhong; Huan Yang; Zheng Liu; Huiguo He; Zijian He; Xuesong Niu; Di ZHANG; Guanbin Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multi-concept Customization; DiT; text-to-image generation
3365	Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model Authors: Kwanyoung Kim; Sanghyun Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Diffusion Model; Active Noise Selection
3366	MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning Authors: Yuanxin Zhuang; Dazhong Shen; Ying Sun Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Molecular Editing; Discrete Diffusion; Reinforcement Learning
3367	Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening Authors: Wooseok Jeon; Seunghyun Shin; Dongmin Shin; Hae-Gon Jeon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Generative Inbetweening; Video Frame Interpolation
3368	Motion-R1: Enhancing Motion Generation with Decomposed Chain-of-Thought and RL Binding Authors: Runqi Ouyang; Haoyun Li; Zhenyuan Zhang; Xiaofeng Wang; Zeyu Zhang; Zheng Zhu; Guan Huang; Sirui Han; Xingang Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Human Motion Generation; Chain-of-Thought; Reinforcement Learning
3369	MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image Animation Authors: Xirui Hu; Yanbo Ding; Jiahao Wang; Tingting Shi; Yali Wang; Guo Zhi Zhi; Weizhan Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Character Animation; Diffusion Model; Video Generation
3370	Multi-Marginal Flow Matching with Adversarially Learnt Interpolants Authors: Oskar Kviman; Kirill Tamogashev; Nicola Branchini; Víctor Elvira; Jens Lagergren; Nikolay Malkin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow matching; stochastic interpolants; adversarial learning; scRNA-seq; trajectory inference
3371	Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts Authors: Ruofeng Yang; Yongcan Li; Bo Jiang; Cheng Chen; Shuai Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Estimation Error; Convergence Analysis; Mixture of Experts
3372	Multiplicative Diffusion Models: Beyond Gaussian Latents Authors: Robert Gruhlke; Valentin Resseguier; Merveille Talla Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: score-based diffusion; generative modeling; multiplicative noise; non-Gaussian latent variables; conservative dynamics; heavy-tailed distributions; Fokker–Plan…
3373	NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning Authors: Huayu Chen; Kaiwen Zheng; Qinsheng Zhang; Ganqu Cui; Yin Cui; Haotian Ye; Tsung-Yi Lin; Ming-Yu Liu; Jun Zhu; Haoxiang Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Reinforcement Learning; Supervised Learning; GRPO; LLM
3374	NRGPT: An Energy-based Alternative for GPT Authors: Nima Dehmamy; Benjamin Hoover; Bishwajit Saha; Leo Kozachkov; Jean-Jacques Slotine; Dmitry Krotov Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: energy-based model; GPT; LLM; small language models
3375	Nano3D: A Training-Free Approach for Efficient 3D Editing Without Masks Authors: Junliang Ye; Shenghao Xie; Ruowen Zhao; Zhengyi Wang; Hongyu Yan; Wenqiang Zu; Lei Ma; Jun Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Computer Vision; 3D Editing; 3D Generation; Flow; Image Editiing
3376	NeRV-Diffusion: Diffuse Implicit Neural Representation for Video Synthesis Authors: Yixuan Ren; Hanyu Wang; Bo He; Hao Chen; Abhinav Shrivastava Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video diffusion model; Implicit neural representation; Video tokenization
3377	Neodragon: Mobile Video Generation Using Diffusion Transformer Authors: Animesh Karnewar; Denis Korzhenkov; Ioannis Lelekas; Noor Fathima; Adil Karjauv; Mohsen Ghafoorian; Amir Habibian Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text to Video Generation; Flow Matching; Diffusion Transformer; Diffusion Models; Mobile Video Generation; Step Distilllation; Block Pruning; Text-Encoder Dist…
3378	NeuralOS: Towards Simulating Operating Systems via Neural Generative Models Authors: Luke Rivard; Sun Sun; Hongyu Guo; Wenhu Chen; Yuntian Deng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Neural Simulation; Diffusion Models; Graphical User Interfaces
3379	NewtonGen: Physics-consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics Authors: Yu Yuan; Xijun Wang; Tharindu Wickremasinghe; Zeeshan Nadir; Bole Ma; Stanley H. Chan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Video Generation
3380	Next Visual Granularity Generation Authors: Yikai Wang; Zhouxia Wang; Zhonghua Wu; Qingyi Tao; Kang Liao; Chen Change Loy Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: image generation
3381	NextQuill: Causal Preference Modeling for Enhancing LLM Personalization Authors: Xiaoyan Zhao; Juntao You; Yang Zhang; Wenjie Wang; Hong Cheng; Fuli Feng; See-Kiong Ng; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Personalized text generation; Large Language Models; LLM Personalization
3382	Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning Authors: Yingzhi Xia; Setthakorn Tanomkiattikun; Liangli Zhen; ZAIWANG GU Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Inverse problems; Generative model; Bayesian inference
3383	Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs Authors: Hongyi Liu; Jiaji Huang; Zhen Jia; Youngsuk Park; Yu-Xiang Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Online algorithm; Speculative decoding; efficient LLM
3384	OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot Authors: Junhan Zhu; Hesong Wang; Mingluo Su; Zefang Wang; Huan Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Pruning; Diffusion Model
3385	Object Fidelity Diffusion for Remote Sensing Image Generation Authors: Ziqi Ye; Shuran Ma; Jie Yang; Xiaoyi Yang; Yi Yang; Ziyang Gong; Xue Yang; Haipeng Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image generation; remote sensing
3386	OmniPortrait: Fine-Grained Personalized Portrait Synthesis via Pivotal Optimization Authors: Dongxu Yue; Bo Lin; Yao Tang; Jiajun Liang; Zhihai He; Chun Yuan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Personalized Portrait Synthesis; ImageGeneration; High-Fidelity Facial Details; Pivotal Optimization
3387	On the Design of One-step Diffusion via Shortcutting Flow Paths Authors: Haitao Lin; Peiyan Hu; Minsi Ren; Zhifeng Gao; Zhi-Ming Ma; Guolin Ke; Tailin Wu; Stan Z. Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Few-step Diffusion; Shortcut Model; Diffusion Model; Flow Matching
3388	On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation Authors: Wenbo Shang; Yuxi Sun; Jing Ma; Xin Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multimodal humor generation; multi-role framework; LLM; humor retrieval
3389	One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs Authors: Yuanzhi Zhu; Ruiqing Wang; Shilin Lu; Hanshu Yan; Junnan Li; Kai Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion distillation; rectified flow; one-step diffusion
3390	One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image Authors: Pengfei Wang; Liyi Chen; Zhiyuan Ma; Yanjun Guo; Guowen Zhang; Lei Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: scene generation; multi-view diffusion; feedforward Gaussian Splatting
3391	Overshoot and Shrinkage in Classifier-Free Guidance: From Theory to Practice Authors: Krunoslav Lehman Pavasovic; Jakob Verbeek; Giulio Biroli; Marc Mezard Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion; flow-matching; classifier-free guidance
3392	PARD: Accelerating LLM Inference with Low‑Cost PARallel Draft Model Adaptation Authors: Zihao An; Huajun Bai; Ziqiong Liu; Dong Li; Emad Barsoum Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM; Speculative Decoding; AI Infra; Low Cost Training
3393	PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models Authors: Jeongjae Lee; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-image generation; Reinforcement Learning; Preference Alignment
3394	PEAR: Phase Entropy Aware Reward for Efficient Reasoning Authors: Chen Huang; Wei Lu; Wenxuan Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Reasoning Models; Large Language Models; Efficient Reasoning
3395	PICS: Pairwise Image Compositing with Spatial Interactions Authors: Hang Zhou; Xinxin Zuo; Sen Wang; Li cheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: image compositing; diffusion model; spatial relations
3396	PQGAN: Product-Quantised Image Representation for High-Quality Image Synthesis Authors: Denis Zavadski; Nikita Philip Tatsch; Carsten Rother Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Vector Quantisation; Representation Learning; Diffusion Models; Generative Models; Image Synthesis; Product Quantisation
3397	PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models Authors: Mingue Park; Jisung Hwang; Seungwoo Yoo; Kyeongmin Yeo; Minhyuk Sung Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: ReFlow; Flow matching; Rectified flow
3398	Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing Authors: Iskander Azangulov; Teodora Pandeva; Niranjani Prasad; Javier Zazo; Sushrut Karmalkar Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: masked diffusion models; language models; inference
3399	Phantom-Data: Towards a General Subject-Consistent Video Generation Dataset Authors: Zhuowei Chen; Bingchuan Li; Tianxiang Ma; Lijie Liu; Mingcong Liu; Yunsheng Jiang; Gen Li; Xinghui Li; Liyang Chen; SiYu Zhou; Qian HE; Xinglong Wu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Multimodal Generation
3400	Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems Authors: Jan Tauberschmidt; Sophie Fellenz; Sebastian Josef Vollmer; Andrew B. Duncan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Modeling; Physics‑Informed Machine Learning; Inverse Problems; Parameter Identification
3401	PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection Authors: Junseo Hwang; Wonguk Cho; Taesup Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Language Models; Fine Tuning; Deep Learning
3402	PixNerd: Pixel Neural Field Diffusion Authors: Shuai Wang; Ziteng Gao; Chenhui Zhu; Weilin Huang; Limin Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: pixel diffusion model
3403	Pixel-Level Residual Diffusion Transformer: Scalable 3D CT Volume Generation Authors: Zhenkai Zhang; Markus Hiller; Krista A. Ehinger; Tom Drummond Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Medical Imaging; 3D Diffusion Model; Diffusion Transformer; CT Scan; Medical Image Generation
3404	Pixel-Perfect Puppetry: Precision-Guided Enhancement for Face Image and Video Editing Authors: Yan Li; Zhenyi Wang; Guanghao Li; Wei Xue; Wenhan Luo; Yike Guo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: FaceVideo Editing; Face Image Editing; Precision Guidance
3405	Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization Authors: Tong Shao; Yusen Fu; Guoying Sun; Jingde Kong; Zhuotao Tian; Jingyong Su Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Training-free acceleration; Diffusion transformer; Error correction
3406	PolyGraph Discrepancy: a classifier-based metric for graph generation Authors: Markus Krimmel; Philip Hartout; Karsten Borgwardt; Dexiong Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: graph generative models; model evaluation; maximum mean discrepancy; generative models
3407	Positional Encoding Field Authors: Yunpeng Bai; Haoxiang Li; Qixing Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Positional Encoding; Novel View Synthesis; Geometry-Aware Generation; Image Editing
3408	PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework Authors: Sixiang Chen; Jianyu Lai; Jialin Gao; Tian Ye; Haoyu Chen; Hengyu Shi; Shitong Shao; Yunlong Lin; Song Fei; Zhaohu Xing; Yeying Jin; Junfeng Luo; Xiaoming Wei; Lei Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Aesthetic Poster Generation; Unified Framework; Specific Large-scale Data
3409	PreciseCache: Precise Feature Caching for Efficient and High-fidelity Video Generation Authors: Jiangshan Wang; Kang Zhao; Jiayi Guo; Jiayu Wang; Hang Guo; Chenyang Zhu; Xiu Li; Xiangyu Yue Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model
3410	Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift Authors: Gihoon Kim; Hyungjin Park; Taesup Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-Image Diffusion Models; Personalization; Overfitting; Distributional Drift; Regularization; Lipschitz Constraints
3411	ProReGen: Progressive Residual Generation under Attribute Correlations Authors: Ruby Shrestha; Ajay Gopi; Casey Meisenzahl; Bipin Lekhak; Linwei Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: attribute correlation; progressive training; data generation
3412	Projected Coupled Diffusion for Test-Time Constrained Joint Generation Authors: Hao Luan; Yi Xian Goh; See-Kiong Ng; Chun Kai Ling Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion model; constrained diffusion
3413	Provable Separations between Memorization and Generalization in Diffusion Models Authors: Zeqi Ye; Qijie Zhu; Molei Tao; Minshuo Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Memorization and Generalization; Diffusion Models; Statistical Estimation; Network Approximation
3414	Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference Authors: Jianwei Li; Jung-Eun Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM; Backdoor attack; Backdoor Elimination.
3415	Purrception: Variational Flow Matching for Vector-Quantized Image Generation Authors: Răzvan-Andrei Matișan; Vincent Tao Hu; Grigory Bartosh; Björn Ommer; Cees G. M. Snoek; Max Welling; Jan-Willem van de Meent; Mohammad Mahdi Derakhshani; Floor Eijkelboom Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; flow matching; vector quantized; image generation; computer vision; variational flow matching
3416	Pusa V1.0: Unlocking Temporal Control in Pretrained Video Diffusion Models via Vectorized Timestep Adaptation Authors: Yaofang Liu; Yumeng REN; Aitor Artola; Yuxuan Hu; Xiaodong Cun; Xiaotong Zhao; Alan Zhao; Raymond H. Chan; Suiyun Zhang; Rui Liu; Dandan Tu; Jean-michel Morel Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Vectorized Timesteps; Flow Matching; Temporal Modeling; Video Generation
3417	Pyramid Patchification Flow for Visual Generation Authors: Hui Li; Baoyou Chen; Li jiaye; Jingdong Wang; Siyu Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: visual generation，flow matching，pyramidal patchification
3418	Quantization-Aware Diffusion Models For Maximum Likelihood Training Authors: Shohei Taniguchi; Masahiro Suzuki; Yutaka Matsuo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion model; dequantization
3419	R4: Nested Reasoning-Retrieval for Reward Modeling in Role-Playing Agents Authors: Renzhi Wang; Chongqiang Wei; Zhisheng Wang; Piji Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: role-playing; knowledge augmented
3420	RAG4DMC: Retrieval-Augmented Generation for Data-Level Modality Completion Authors: Ningxin He; Yongheng Deng; Sheng Yue; Yongjian Fu; Zhangzehui; Tiegang Gao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Missing Modality Completion; Multimodal Learning
3421	RAPID$^3$: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer Authors: Wangbo Zhao; Yizeng Han; Zhiwei Tang; Jiasheng Tang; Pengfei Zhou; Kai Wang; Bohan Zhuang; Zhangyang Wang; Fan Wang; Yang You Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Transformer; Acceleration
3422	RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data Authors: Zhengkang Guo; Wenhao Liu; Mingchen Xie; Jingwen Xu; Zisu Huang; Muzhao Tian; Jianhan Xu; Yuanzhe Shen; Qi Qian; Muling Wu; Xiaohua Wang; Heda Wang; Yao Hu; Changze Lv; Xuanjing H… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM; Complex Instruction Following; Data synthesis; Reinforement Learning
3423	RMFlow: Refined Mean Flow by a Noise-Injection Step for Multimodal Generation Authors: Yuhao Huang; Shih-Hsin Wang; Andrea L. Bertozzi; Bao Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Mean Flow; Flow Matching; Noise-injection; Likelihood Maximization; Multimodal Generation
3424	RNE: plug-and-play diffusion inference-time control and energy-based training Authors: Jiajun He; José Miguel Hernández-Lobato; Yuanqi Du; Francisco Vargas Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion generative models; SDE; SMC; sequential monte carlo
3425	Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs Authors: BumJun Kim; Dongjae Jeon; Dueun Kim; Wonje Jeung; Albert No Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete Diffusion; Instruction Tuning; NLP
3426	ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures Authors: Xiyin Zeng; Yuyu Sun; Haoyang Li; Shouqiang Liu; Hao Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Vision-language-action; embodied agent; large language models; Long-Horizon Planning
3427	ReDDiT: Rehashing Noise for Discrete Visual Generation Authors: Tianren Ma; Xiaosong Zhang; Boyu Yang; Junlan Feng; Qixiang Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete Diffusion; Masked Diffusion; Image Generation; Noise Design
3428	RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Authors: Mingrui Wu; Lu Wang; Pu Zhao; Fangkai Yang; Jianjin Zhang; Jianfeng Liu; Yuefeng Zhan; Weihao Han; Hao Sun; Jiayi Ji; Xiaoshuai Sun; Qingwei Lin; Weiwei Deng; Dongmei Zhang; Feng… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Reasoning; T2I; RL
3429	ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing Authors: Yongqi An; Chang Lu; Kuan Zhu; Tao Yu; Chaoyang Zhao; Hong Wu; Ming Tang; Jinqiao Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Long context; Efficient decoding; KV cache compression
3430	ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generation Authors: Jingzhong Lin; Xinru Li; Yuanyuan Qi; Bohao Zhang; Wenxiang Liu; Kecheng Tang; Wenxuan Huang; Xiangfeng Xu; Bangyan Li; Changbo Wang; Gaoqi He Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion; dance generation; motion generation
3431	ReactID: Synchronizing Realistic Actions and Identity in Personalized Video Generation Authors: Wei Li; Yiheng Zhang; Fuchen Long; Zhaofan Qiu; Ting Yao; Xiaoyan Sun; Tao Mei Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Identity Preserving; Diffusion Models
3432	Reconstruction Alignment Improves Unified Multimodal Models Authors: Ji Xie; Trevor Darrell; Luke Zettlemoyer; XuDong Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Unified Multimodal Models; Image Generation; Image Editing; Visual Understanding
3433	RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation Authors: Hanzhuo Huang; Qingyang Bao; Zekai Gu; Zhongshuo Du; Cheng Lin; Yuan Liu; Sibei Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models
3434	RegionE: Adaptive Region-Aware Generation for Efficient Image Editing Authors: Pengtao Chen; Xianfang Zeng; Maosen Zhao; Mingzhu Shen; Peng Ye; Bangyin Xiang; Zhibo Wang; Wei Cheng; Gang YU; Tao Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Editing; Diffusion Transformer; Acceleration
3435	Relational Feature Caching for Accelerating Diffusion Transformers Authors: Byunggwan Son; Jeimin Jeon; Jeongwoo Choi; Bumsub Ham Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion transformer; Feature Caching
3436	Representation Alignment for Diffusion Transformers without External Components Authors: Dengyang Jiang; Mengmeng Wang; Liuzhuozheng Li; Lei Zhang; Haoyu Wang; Wei Wei; Guang Dai; Yanning Zhang; Jingdong Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Transformers; Self-Representation Alignment
3437	Rethinking Global Text Conditioning in Diffusion Transformers Authors: Nikita Starodubcev; Daniil Pakhomov; Zongze Wu; Ilya Drobyshevskiy; Yuchen Liu; Zhonghao Wang; Yuqian Zhou; Zhe Lin; Dmitry Baranchuk Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; image and video generation
3438	Riemannian Variational Flow Matching for Material and Protein Design Authors: Olga Zaghen; Floor Eijkelboom; Alison Pouplin; Cong Liu; Max Welling; Jan-Willem van de Meent; Erik J Bekkers Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow matching; variational inference; riemannian manifolds; material generation; metal-organic framework; protein backbone generation
3439	Robust Generalized Schr"{o}dinger Bridge via Sparse Variational Gaussian Processes Authors: Minyoung Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Gaussian processes; Distribution matching; Diffusion models; Bayesian statistics
3440	Rolling Forcing: Autoregressive Long Video Diffusion in Real Time Authors: Kunhao Liu; Wenbo Hu; Jiale Xu; Ying Shan; Shijian Lu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: autoregressive video generation; long video generation; real-time video generation
3441	Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance Authors: Yujie Wei; Shiwei Zhang; Hangjie Yuan; Yujin Han; Zhekai Chen; Jiayu Wang; Difan Zou; Xihui Liu; Yingya Zhang; Yu Liu; Hongming Shan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Generation; Mixture-of-Experts; Diffusion Transformer
3442	SAFER: Risk-Constrained Sample-then-Filter in Large Language Models Authors: Qingni Wang; Yue Fan; Xin Eric Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Question answering; Calibration; Uncertainty Quantification
3443	SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback Authors: Xiaoxuan He; Siming Fu; Wanli Li; Zhiyuan Li; Dacheng Yin; Kang Rong; Fengyun Rao; Bo Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; RL
3444	SCOPED: Score–Curvature Out-of-distribution Proximity Evaluator for Diffusion Authors: Brett Barkley; Preston Culbertson; David Fridovich-Keil Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Out-of-distribution detection; Diffusion models; Typicality; Generative modeling; Reinforcement learning
3445	SDErasure: Concept-Specific Trajectory Shifting for Concept Erasure via Adaptive Diffusion Classifier Authors: Fengyuan Miao; Shancheng Fang; Lingyun Yu; Yadong Qu; Yuhao Sun; Xiaorui Wang; Hongtao Xie Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; AIGC Safety; Concept Erasure
3446	SERUM: Simple, Efficient, Robust, and Unifying Marking for Diffusion-based Image Generation Authors: Jan Kociszewski; Hubert Jastrzębski; Tymoteusz Stępkowski; Filip Manijak; Krzysztof Rojek; Franziska Boenisch; Adam Dziedzic Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: watermarks; diffusion models; marking; computer vision; image generation
3447	SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples Authors: Haoye Lu; Yaoliang Yu; Darren Lo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: ambient diffusion; diffusion models; generative modeling; density deconvolution
3448	SIGMA-Gen: Structure and Identity Guided Multi-Subject Assembly for Image Generation Authors: Oindrila Saha; Vojtech Krs; Radomir Mech; Subhransu Maji; Kevin James Blackburn-Matzen; Matheus Gadelha Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: image generation; identity preservation; controllable generation
3449	SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention Authors: Jintao Zhang; Haoxu Wang; Kai Jiang; Shuo Yang; Kaiwen Zheng; Haocheng Xi; Ziteng Wang; Hongzhou Zhu; Min Zhao; Ion Stoica; Joseph E. Gonzalez; Jianfei Chen; Jun Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: sparse attention; efficient attention; video diffusion model; video generation; diffusion transformer
3450	SONA: Learning Conditional, Unconditional, and Matching-Aware Discriminator Authors: Yuhta Takida; Satoshi Hayakawa; Takashi Shibuya; Masaaki Imaizumi; Naoki Murata; Bac Nguyen; Toshimitsu Uesaka; Chieh-Hsin Lai; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative adversarial network; conditional generation; generative models
3451	SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models Authors: Ouxiang Li; Yuan Wang; Xinting Hu; Houcheng Jiang; Tao Liang; Yanbin Hao; Guojun Ma; Fuli Feng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Concept Erasure; Model Safety
3452	SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion Authors: Sedjro Salomon Hotegni; Sebastian Peitz Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multi-objective optimization; Denoising Diffusion Probabilistic Models; Multiple gradient descent; Offline multi‑objective optimization; Multi-objective Bayesi…
3453	SPRINT: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers Authors: Dogyun Park; Moayed Haji-Ali; Yanyu Li; Willi Menapace; Sergey Tulyakov; Hyunwoo J. Kim; Aliaksandr Siarohin; Anil Kag Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; generative models; flow matching; efficient training; image generation
3454	SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation Authors: Youngwoo Shin; Jiwan Hur; Junmo Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; Guidance; Next-Scale Autoregressive Generation; Information Theory
3455	STORK: Faster Diffusion and Flow Matching Sampling by Resolving both Stiffness and Structure-Dependence Authors: Zheng Tan; Weizhen Wang; Andrea L. Bertozzi; Ernest K. Ryu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion model; fast sampling method; stabilized Runge–Kutta; training-free
3456	Sample Reward Soups: Query-efficient Multi-Reward Guidance for Text-to-Image Diffusion Models Authors: Yinghua Yao; Yuangang Pan; Guoji Fu; Ivor Tsang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Text to Image; Sample Reward Soups; Training-free; Black-box alignment
3457	Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image Authors: Ming Qian; Zimin Xia; Changkun Liu; Shuailei Ma; Wen Wang; Zeran Ke; Bin Tan; Hang Zhang; Gui-Song Xia Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D generation; novel view synthesis; satellite to street-view generation; feed-forward image to 3D; outdoor scene generation
3458	Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization Authors: Yifan Chang; Jie Qin; Limeng Qiao; Xiaofeng Wang; Zheng Zhu; Lin Ma; Xingang Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; Image Quantization; Autoregressive Modeling; Image Generation; Image Synthesis
3459	Scale-wise Distillation of Diffusion Models Authors: Nikita Starodubcev; Ilya Drobyshevskiy; Denis Kuznedelev; Artem Babenko; Dmitry Baranchuk Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion distillation; few-step models; image generation; video generation
3460	Scaling Group Inference for Diverse and High-Quality Generation Authors: Gaurav Parmar; Or Patashnik; Daniil Ostashev; Kuan-Chieh Jackson Wang; Kfir Aberman; Srinivasa Narasimhan; Jun-Yan Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; diffusion models
3461	Scaling Sequence-to-Sequence Generative Neural Rendering Authors: Shikun Liu; Kam Woh Ng; Wonbong Jang; Jiadong Guo; Junlin Han; Haozhe Liu; Yiannis Douratsos; Juan Camilo Perez; Zijian Zhou; Khanh Chi Phung; Tao Xiang; Juan-Manuel Perez-Rua Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D vision; Novel View Synthesis; Generative Neural Rendering
3462	ScalingCache: Extreme Acceleration of DiTs through Difference Scaling and Dynamic Interval Caching Authors: Lihui Gu; Jingbin He; Lianghao Su; Kang He; Wenxiao Wang; Yuliang Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: ​​Diffusion Transformer; Image generation; Video generation; Model Acceleration; Feature Cache
3463	Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data Authors: Yasi Zhang; Tianyu Chen; Zhendong Wang; Ying Nian Wu; Mingyuan Zhou; Oscar Leong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative model; diffusion distillation
3464	Seeing Through the PRISM: Compound & Controllable Restoration of Scientific Images Authors: Rupa Kurinchi-Vendhan; Pratyusha Sharma; Antonio Torralba; Sara Beery Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: prompted diffusion; image restoration; expert-in-the-loop; scientific imaging
3465	Self-Forcing++: Towards Minute-Scale High-Quality Video Generation Authors: Justin Cui; Jie Wu; Ming Li; Tao Yang; Xiaojie Li; Rui Wang; Andrew Bai; Yuanhao Ban; Cho-Jui Hsieh Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: long video generation; diffusion model; autoregressive video generation
3466	Self-Speculative Decoding Accelerates Lossless Inference in Any-Order and Any-Subset Autoregressive Models Authors: Gabe Guo; Stefano Ermon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: speculative decoding; any-order autoregressive models; diffusion language models
3467	Self-Speculative Masked Diffusions Authors: Andrew Campbell; Valentin De Bortoli; Jiaxin Shi; Arnaud Doucet Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: mask diffusion; generative models; speculative decoding; speculative sampling; LLM
3468	Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment Authors: Byeonghu Na; Hyungho Na; Yeongmin Kim; Suhyeon Jo; HeeSun Bae; Mina Kang; Il-chul Moon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large language Model; Alignment; Reinforcement learning with human preference; Wasserstein distance; Sinkhorn distance
3469	SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation Authors: Xingtong Ge; Xin Zhang; Tongda Xu; Yi Zhang; Xinjie Zhang; Yan Wang; Jun Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: text-to-image generation; diffusion distillation; distribution matching distillation
3470	ShapeGen4D: Towards High Quality 4D Shape Generation from Videos Authors: Jiraphon Yenphraphai; Ashkan Mirzaei; Jianqi Chen; Jiaxu Zou; Sergey Tulyakov; Raymond A. Yeh; Peter Wonka; Chaoyang Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 4D reconstruction; generative model
3471	ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code Authors: Mingqiao Mo; Yunlong Tan; Hao Zhang; Heng Zhang; Yangfan He Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Virtual Machine Protection
3472	Shift-and-Sum Quantization for Visual Autoregressive Models Authors: Jaehyeon Moon; Bumsub Ham Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: VAR; network quantization
3473	Shortcut Diffusion Training with Cumulative Consistency Loss: An Optimal Control View Authors: Paribesh Regmi; Sandesh Ghimire; Rui Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: One-Step Diffusion; Optimal Control; Shortcut Diffusion Models
3474	SimpleGVR: A Simple Baseline for Latent-Cascaded Generative Video Super-Resolution Authors: Liangbin Xie; Yu Li; Shian Du; Menghan Xia; Xintao Wang; Fanghua Yu; Ziyan Chen; Pengfei Wan; Jiantao Zhou; Chao Dong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: High-resolution text-to-video generation; Generative Video Super-Resolution
3475	SketchEvo: Leveraging Drawing Dynamics for Enhanced Image Synthesis Authors: Zhixin Feng; Runan Yin; LAN YANG; Kaiyue Pang; Ke Li; Honggang Zhang; Yi-Zhe Song Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Image generation; Sequence Guided; Human Preference
3476	SketchingReality: From Freehand Scene Sketches to Photorealistic Images Authors: Ahmed Bourouis; Mikhail Bessmeltsev; Yulia Gryaditskaya Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Generation; Freehand Sketches
3477	SoFlow: Solution Flow Models for One-Step Generative Modeling Authors: Tianze Luo; Haotian Yuan; Zhuang Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow Matching Models; Consistency Models; One-step generation
3478	Soft-Di[M]O: Improving One-Step Discrete Image Generation with Soft Embeddings Authors: Yuanzhi Zhu; Xi WANG; Stéphane Lathuilière; Vicky Kalogeiton Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Distillation; Discrete Diffusion; Mask Diffusion; One-step Generation
3479	Soft-Masked Diffusion Language Models Authors: Michael Hersche; Samuel Moor-Smith; Thomas Hofmann; Abbas Rahimi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Masked diffusion language models; continuous feedback; code generation
3480	SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model Authors: Dongli Xu; Aleksei Tiulpin; Matthew B. Blaschko Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: visual autoregressive model
3481	SparseD: Sparse Attention for Diffusion Language Models Authors: Zeqing Wang; Gongfan Fang; Xinyin Ma; Xingyi Yang; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Language Models; Sparse Attention
3482	SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism Authors: Yuhao Shen; Junyi Shen; Quan Kong; Tianyu Liu; Yao Lu; Cong Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Speculative Decoding; LLM inference
3483	Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models Authors: Cheng Jin; Qitan Shi; Yuantao Gu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Classifier-Free Guidance
3484	Steer Away From Mode Collisions: Improving Composition In Diffusion Models Authors: Debottam Dutta; Jianchong Chen; RAJALAXMI RAJAGOPALAN; Yu-Lin Wei; Romit Roy Choudhury Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Composition; classifier-free guidance; diffusion; text2image; corrector sampling
3485	SteinsGate: Adding Causality to Diffusions for Long Video Generation via Path Integral Authors: Yufei Huang; Liangyu Yuan; Changxi Chi; Yunfan Liu; Cheng Tan; Siyuan Li; Jingbo Zhou; Haitao Lin; Chang Yu; Stan Z. Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Video Generation; Diffusion Guidance
3486	Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models Authors: Chubin Chen; Jiashu Zhu; Xiaokun Feng; Nisha Huang; Chen Zhu; Meiqi Wu; Fangyuan Mao; Jiahong Wu; Xiangxiang Chu; Xiu Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Classifier-free Guidance
3487	Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding Authors: Daisuke Oba; Danushka Bollegala; Masahiro Kaneko; Naoaki Okazaki Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion language models; compute efficient sampling; skipping compute; adaptive attention
3488	Story-Iter: A Training-free Iterative Paradigm for Long Story Visualization Authors: Jiawei Mao; Xiaoke Huang; Yunfei Xie; Yuanqi Chang; Mude Hui; Bingjie Xu; Zeyu Zheng; Zirui Wang; Cihang Xie; Yuyin Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Subject-Consistent Image Generation; Diffusion Model; Story Visualization
3489	Streaming Autoregressive Video Generation via Diagonal Distillation Authors: Jinxiu Liu; Xuanming Liu; Kangfu Mei; Yandong Wen; Ming-Hsuan Yang; Weiyang Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Diffusion Models
3490	Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime! Authors: Junbao Zhou; Yuan Zhou; Kesen Zhao; Qingshan Xu; Beier Zhu; Richang Hong; Hanwang Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Streaming Video Manipulation; Drag-Style Manipulation
3491	Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion models Authors: Ruisi Zhao; Haoren Zheng; Zongxin Yang; Hehe Fan; Yi Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; 3D generation; Graph diffusion
3492	Symmetric Space Learning for Combinatorial Generalization Authors: Jaehyoung Jeong; Hee-Jun Jung; Kangil Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; Generalization; Combinatorial Generalization; Machine Learning; Manifold Learning; Representation Learning
3493	SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling Authors: Andrei Rekesh; Miruna Cretu; Dmytro Shevchuk; Pietro Lio; Robert A. Batey; Mike Tyers; Michał Koziarski; Cheng-Hao Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: molecule; generation; flowmatching; diffusion; chemistry; synthesizable
3494	Syncphony: Synchronized Audio-to-Video Generation with Diffusion Transformers Authors: Jibin Song; Mingi Kwon; Jaeseok Jeong; Youngjung Uh Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Audio-to-Video Generation; Multimodal Synthesis; Temporal Synchronization; Diffusion Transformer; Video Generation; Audio-Conditioned Generation
3495	TEDM: Time Series Forecasting with Elucidated Diffusion Models Authors: Edgardo Solano Carrillo; Sreerag V Naveenachandran; Julia Niebling Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Score-based generative models; Diffusion models; Stochastic Differential Equations; Time-series forecasting
3496	TEMPFLOW-GRPO: WHEN TIMING MATTERS FOR GRPO IN FLOW MODELS Authors: Xiaoxuan He; Siming Fu; Yuke Zhao; Wanli Li; Jian Yang; Dacheng Yin; Fengyun Rao; Bo Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: GRPO; Flow Matching
3497	TEST-TIME SCALING IN DIFFUSION LLMS VIA HIDDEN SEMI-AUTOREGRESSIVE EXPERTS Authors: Jihoon Lee; Hoyeon Moon; Kevin Zhai; Arun Kumar Chithanar; Anit Kumar Sahu; Soummya Kar; Chul Lee; Souradip Chakraborty; Amrit Singh Bedi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Large Language Models; reasoning; inference time
3498	THE PATH OF LEAST RESISTANCE: GUIDING LLM REASONING TRAJECTORIES WITH PREFIX CONSENSUS Authors: Ishan Jindal; Sai Prashanth Akuthota; Jayant Taneja; SACHIN DEV SHARMA Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Speculative reasoning; LLM inference optimization
3499	TINKER: Diffusion's Gift to 3D–Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization Authors: Canyu Zhao; Xiaoman Li; Tianjian Feng; Zhiyue Zhao; Hao Chen; Chunhua Shen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; 3D Editing
3500	TIPO: Text to Image with Text Pre-sampling for Prompt Optimization Authors: Shih-Ying Yeh; YI LI; SangHyun Park; Giyeong Oh; Xuehai Wang; Min Song; Youngjae Yu; Shang-Hong Lai Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: prompt optimization; prompt engineering; text-to-image
3501	TPDiff: Temporal Pyramid Video Diffusion Model Authors: Lingmin Ran; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Diffusion model
3502	TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation Authors: Hongyu Zhang; Yufan Deng; Zilin Pan; Peng-Tao Jiang; Bo Li; Qibin Hou; Zhen Dong; Zhiyang Dou; Daquan Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video generation; Diffusion model
3503	TTOM: Test-Time Optimization and Memorization for Compositional Video Generation Authors: Leigang Qu; Ziyang Wang; Na Zheng; Wenjie Wang; Liqiang Nie; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-Video Generation; Test-Time Optimization; Memory
3504	Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs Authors: Kan Zhu; Tian Tang; Qinyu Xu; Zhan Jin; Yile Gu; Zhichen Zeng; Rohan Kadekodi; Liangyu Zhao; Ang Li; Arvind Krishnamurthy; Baris Kasikci Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Sparse Attention; LLM; Serving
3505	Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework Authors: Rajesh Shrestha; Xiao Fu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion; score model; inverse problem; convergence; optimization; generative model
3506	Target-Aware Video Diffusion Models Authors: Taeksoo Kim; Hanbyul Joo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Controllable video diffusion models; Human-scene interaction; Robotics planning
3507	Terminal Velocity Matching Authors: Linqi Zhou; Mathias Parger; Ayaan Haque; Jiaming Song Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: one-step generative model from scratch; diffusion; flow matching
3508	Test-Time Iterative Error Correction for Efficient Diffusion Models Authors: Yunshan Zhong; Weiqi Yan; Yuxin Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Test-time; diffusion
3509	Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution Authors: Qifan Li; Jiale Zou; Jinhua Zhang; Wei Long; Xingyu Zhou; Shuhang Gu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative super-resolution; vector-quantization
3510	The Diffusion Duality, Chapter II: $\Psi$-Samplers Authors: Justin Deschenaux; Caglar Gulcehre; Subham Sekhar Sahoo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion language models; diffusion models; large language models; inference-time scaling; predictor-corrector sampling; efficient taining
3511	The Intricate Dance of Prompt Complexity, Quality, Diversity and Consistency in T2I Models Authors: Xiaofeng Zhang; Aaron Courville; Michal Drozdzal; Adriana Romero-Soriano Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: text-to-image models; prompt complexity; synthetic data
3512	The Limits of Inference Scaling Through Resampling Authors: Benedikt Stroebl; Sayash Kapoor; Arvind Narayanan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Inference scaling; Resampling; Reasoning; LLMs; NLP
3513	The Quest for Generalizable Motion Generation: Data, Model, and Evaluation Authors: Jing Lin; Ruisi Wang; Junzhe Lu; Ziqi Huang; Guorui Song; Ailing Zeng; Xian Liu; Chen Wei; Wanqi Yin; Qingping SUN; Zhongang Cai; Lei Yang; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Motion Generation; Generalizable
3514	There and Back Again: On the relation between Noise and Image Inversions in Diffusion Models Authors: Łukasz Staniszewski; Łukasz Kuciński; Kamil Deja Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; ddim inversion; image interpolation
3515	There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-Training Authors: Jiachen Lei; Keli Liu; Julius Berner; Y HoiM; Hongkai Zheng; Jiahong Wu; Xiangxiang Chu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Generation; Diffusion models; Pixel-space generation
3516	ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning Authors: Jiawei Gu; Yunzhuo Hao; Huichen Will Wang; Linjie Li; Michael Qizhe Shieh; Yejin Choi; Ranjay Krishna; Yu Cheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multimodal Reasoning; Interleaved Chain-of-Thought; Unified Model
3517	Time-to-Move: Training-Free Motion-Controlled Video Generation via Dual-Clock Denoising Authors: Assaf Singer; Noam Rotstein; Amir Mann; Ron Kimmel; Or Litany Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Computer vision; Generative models
3518	ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction Authors: Xingshan Zeng; Weiwen Liu; Lingzhi Wang; Liangyou Li; Fei Mi; Yasheng Wang; Lifeng Shang; Xin Jiang; Qun Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Agentic Data Synthesis; Non-Autoregressive Generation
3519	ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing Authors: Lingen Li; Guangzhi Wang; Zhaoyang Zhang; Yaowei Li; Xiaoyu Li; Qi Dou; Jinwei Gu; Tianfan Xue; Ying Shan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Controllable Video Generation; Cartoon Generation; Diffusion Model
3520	Topological Flow Matching Authors: Kacper Wyrwal; Ismail Ilkan Ceylan; Alexander Tong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow Matching; Generative Models; Topological Deep Learning; Geometric Deep Learning; Graphs; Simplicial Complexes; Schrödinger Bridge; Optimal Transport
3521	Topology-Preserved Auto-regressive Mesh Generation in the Manner of Weaving Silk Authors: Gaochao Song; Zibo Zhao; Haohan Weng; Jingbo Zeng; Rongfei Jia; Shenghua Gao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Generation; Auto-regressive Mesh Generation
3522	Towards One-step Causal Video Generation via Adversarial Self-Distillation Authors: Yongqi Yang; Huayang Huang; Xu Peng; Xiaobin Hu; Donghao Luo; Jiangning Zhang; Chengjie Wang; Yu Wu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Distillation; Causal Text to Video Generation
3523	Towards Reliable Benchmarking: A Contamination Free, Controllable Evaluation Framework for Multi-step LLM Function Calling Authors: Seiji Maekawa; Jackson Hassell; Pouya Pezeshkpour; Tom Mitchell; Estevam Hruschka Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Function calling; Tool-augmented LMs; Too-use
3524	Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model Authors: Pingyu Wu; Kai Zhu; Yu Liu; Longxiang Tang; Jian Yang; Yansong Peng; Wei Zhai; Yang Cao; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Generation; Autoregressive model; Tokenizer
3525	Training-Free Reward-Guided Image Editing via Trajectory Optimal Control Authors: Jinho Chang; Jaemin Kim; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: reward-guided editing; diffusion models; optimal control
3526	Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer Authors: Zixin Yin; Xili Dai; Ling-Hao Chen; Deyu Zhou; Jianan Wang; Duomin Wang; Gang YU; Lionel Ni; Lei Zhang; Heung-Yeung Shum Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion; DiT; Image Editing; Video Editing; Color Editing
3527	TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models Authors: Peiran Li; Jiawei Wang; Haoran Zhang; Xiaodan Shi; Noboru Koshizuka; Chihiro Shimizu; Renhe Jiang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow matching; Human Trajectory; Generative modeling; Human mobility
3528	TreeGRPO: Tree-Advantage GRPO for Online RL Post-Training of Diffusion Models Authors: Zheng Ding; Weirui Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Flow Matching; Reinforcement Learning; GRPO; Tree Search
3529	TriC-Motion: Tri-Domain Causal Modeling Grounded Text-to-Motion Generation Authors: Yiyang Cao; Yunze Deng; Ziyu Lin; Bin Feng; Xinggang Wang; Wenyu Liu; DanDan Zheng; Jingdong Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-Motion Generation; Spatial-temporal-frequency Modeling; Causal Learning
3530	Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression Authors: Amit Vaisman; Guy Ohayon; Hila Manor; Michael Elad; Tomer Michaeli Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: image compression; diffusion models; diffusion-based image compression; zero-shot diffusion-based image compression
3531	TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows Authors: Zhenglin Cheng; Peng Sun; Jianguo Li; Tao Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: few-step generation; text-to-image generation; multi-modal generative models
3532	Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct Authors: Haoyang Zheng; Xinyang Liu; Xiangrui Kong; Nan Jiang; Zheyuan Hu; Weijian Luo; Wei Deng; Guang Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion language models; distillation; integral KL divergence; large language models; generative modeling
3533	UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers Authors: Min Zhao; Hongzhou Zhu; Yingze Wang; Bokai Yan; Jintao Zhang; Guande He; Ling Yang; Chongxuan Li; Jun Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video diffusion model; video generation; diffusion transformer; video length extrapoaltion
3534	UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphy Authors: Tianshuo Xu; Kai Wang; ZhiFei Chen; Leyi Wu; Tianshui Wen; Fei Chao; Ying-Cong Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: calligraphy
3535	Unified In-Context Video Editing Authors: Zixuan Ye; Xuanhua He; Quande Liu; Qiulin Wang; Xintao Wang; Pengfei Wan; Di ZHANG; Kun Gai; Qifeng Chen; Wenhan Luo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video editing; video generation; diffusion models
3536	Uniform Discrete Diffusion with Metric Path for Video Generation Authors: Haoge Deng; Ting Pan; Fan Zhang; Yang Liu; Zhuoyan Luo; Yufeng Cui; Wenxuan Wang; Chunhua Shen; Shiguang Shan; Zhaoxiang Zhang; Xinlong Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-Video Generation; Discrete-valued Space
3537	Universal Multi-Domain Translation via Diffusion Routers Authors: Duc Kieu; Kien Do; Tuan Hoang; Thao Minh Le; Tung Kieu; Dang Nguyen; Thin Nguyen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Multi-Domain Translation
3538	Using maximal information auxiliary variables to improve synthetic data generation based on TabPFN foundation models Authors: Elias Chaibub Neto Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: tabular synthetic data generation; in-context learning; tabular foundation models
3539	VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution Authors: Yixuan Zhu; Shilin Ma; Haolin Wang; Ao Li; Yanzhe Jing; Yansong Tang; Lei Chen; Jiwen Lu; Jie Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: visual autoregressive model; image restoration
3540	VFScale: Intrinsic Reasoning through Verifier-Free Test-time Scalable Diffusion Model Authors: Tao Zhang; Jia-Shu Pan; Ruiqi Feng; Tailin Wu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Reasoning; Energy-based Diffusion model; Monte Carlo tree search; Test-time scaling
3541	VINCIE: Unlocking In-context Image Editing from Video Authors: Leigang Qu; Feng Cheng; Ziyan Yang; Qi Zhao; Shanchuan Lin; Yichun Shi; Yicong Li; Wenjie Wang; Tat-Seng Chua; Lu Jiang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Editing; Video Generation; Diffusion Model
3542	VMDiff: Visual Mixing Diffusion for Limitless Cross-Object Synthesis Authors: Zeren Xiong; Yue Yu; Ze-dong Zhang; Shuo Chen; Jian Yang; Jun Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image generation; Image concept fusion
3543	VMoBA: Mixture-of-Block Attention for Video Diffusion Models Authors: Jianzong Wu; Liang Hou; Haotian Yang; Ye Tian; Pengfei Wan; Di ZHANG; Yunhai Tong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Sparse Attention; Training Acceleration; MoBA
3544	VQ-Transplant: Efficient VQ-Module Integration for Pre-trained Visual Tokenizers Authors: Xianghong Fang; Yuan Yuan; Dehan Kong; Tim G. J. Rudner Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: VQ-Transplant; Plug-and-play integration; Computational cost reduction; Pre-trained tokenizers
3545	VSF: Simple, Efficient, and Effective Negative Guidance in Few-Step Image Generation Models By Value Sign Flip Authors: Wenqi Marshall Guo; Shan Du Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Generation; Diffusion Models; Negative Guidance
3546	Value Matching: Scalable and Gradient-Free Reward-Guided Flow Adaptation Authors: Cristian Perez Jensen; Luca Schaufelberger; Riccardo De Santi; Kjell Jorner; Andreas Krause Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; flow models; black-box reward optimization; molecular design; image generation; stochastic optimal control; reinforcement learning
3547	Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling Authors: Tianyu Xie; Shuchen Xue; Zijin Feng; Tianyang Hu; Jiacheng Sun; Zhenguo Li; Cheng Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Masked diffusion models; Variational autoencoders; Latent variable models
3548	Verifier-Constrained Flow Expansion for Discovery Beyond the Data Authors: Riccardo De Santi; Kimon Protopapas; Ya-Ping Hsieh; Andreas Krause Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow models; diffusion models; exploration; verifiers; scientific discovery
3549	ViPO: Visual Preference Optimization at Scale Authors: Ming Li; Jie Wu; Justin Cui; Xiaojie Li; Rui Wang; Chen Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Image Generation; Video Generation; Visual Generation; DPO
3550	Video-As-Prompt: Unified Semantic Control for Video Generation Authors: Yuxuan Bian; Xin Chen; Zenan Li; Tiancheng Zhi; Shen Sang; Linjie Luo; Qiang Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Controllable Video Generation; Video Dataset
3551	VisCoder2: Building Multi-Language Visualization Coding Agents Authors: Yuansheng Ni; Songcheng Cai; Xiangchao Chen; Jiarong Liang; Zhiheng Lyu; Jiaqi Deng; Kai Zou; Ping Nie; Fei Yuan; Xiang Yue; Wenhu Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Code Models; Visualization; Fine-tuning
3552	Visual Autoregressive Modeling for Instruction-Guided Image Editing Authors: Qingyang Mao; Qi Cai; Yehao Li; Yingwei Pan; Mingyue Cheng; Ting Yao; Qi Liu; Tao Mei Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Instruction-Guided Image Editing; Visual Autoregressive Modeling
3553	W-EDIT: A Wavelet-Based Frequency-Aware Framework for Text-Driven Image Editing Authors: Jiahui Sun; Weining Wang; Mingzhen Sun; Peiyao Wang; Xinxin Zhu; Jing Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Transformers; Text-driven Image Editing; Training-free Method
3554	WILD-Diffusion: A WDRO Inspired Training Method for Diffusion Models under Limited Data Authors: Xianglu Wang; Wanlin Zhang; Hu Ding Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Wasserstein Distributionally Robust Optimization; Limited Data
3555	Watermarking Diffusion Language Models Authors: Thibaud Gloaguen; Robin Staab; Nikola Jovanović; Martin Vechev Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Watermarks; Diffusion Language Models; LLM
3556	WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning Authors: Haojin Yang; Rui Hu; Zequn Sun; Rui Zhou; Yujun Cai; Yiwei Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion language models; dynamic decoding
3557	Weak-to-Strong Diffusion with Reflection Authors: Lichen Bai; Masashi Sugiyama; Zeke Xie Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Diffusion Sampling; Text-to-Image Generation
3558	What Exactly Does Guidance Do in Masked Discrete Diffusion Models Authors: Ye He; Kevin Rojas; Molei Tao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete Diffusion Models; Classifier-free Guidance
3559	What matters for Representation Alignment: Global Information or Spatial Structure? Authors: Jaskirat Singh; Xingjian Leng; Zongze Wu; Liang Zheng; Richard Zhang; Eli Shechtman; Saining Xie Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: repa; representation learning; repa-e
3560	When LLMs get significantly worse: A statistical approach to detect model degradations Authors: Jonas M. Kübler; Kailash Budhathoki; Matthäus Kleindessner; Xiong Zhou; Junming Yin; Ashish Khetan; George Karypis Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM; Benchmarking; Statistics; Accuracy
3561	When Scores Learn Geometry: Rate Separations under the Manifold Hypothesis Authors: Xiang Li; Zebang Shen; Ya-Ping Hsieh; Niao He Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Score learning; Diffusion models; Manifold hypothesis; Uniform sampling on manifolds
3562	WithAnyone: Toward Controllable and ID Consistent Image Generation Authors: Hengyuan Xu; Wei Cheng; Peng Xing; Yixiao Fang; Shuhan Wu; Rui Wang; Xianfang Zeng; Daxin Jiang; Gang YU; Xingjun Ma; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: AIGC; ID-Consistent Generation
3563	Your VAR Model is Secretly an Efficient and Explainable Generative Classifier Authors: Yi-Chung Chen; David I. Inouye; Jing Gao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative classifier; generative model; autoregressive model
3564	Zero-Overhead Introspection for Adaptive Test-Time Compute Authors: Rohin Manvi; Joey Hong; Tim Seyde; Maxime Labonne; Mathias Lechner; Sergey Levine Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Language Model; Test-time compute; Value Function; Sampling
3565	``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood Authors: Peiyu Yu; Dinghuai Zhang; Hengzhi He; Xiaojian Ma; Sirui Xie; RUIYAO MIAO; Yifan Lu; Yasi Zhang; Deqian Kong; Ruiqi Gao; Jianwen Xie; Guang Cheng; Ying Nian Wu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Noise Contrastive Estimation; Generative Models
3566	dParallel: Learnable Parallel Decoding for dLLMs Authors: Zigeng Chen; Gongfan Fang; Xinyin Ma; Ruonan Yu; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion language model; parallel decoding; efficiency
3567	gen2seg: Generative Models Enable Generalizable Instance Segmentation Authors: Om Khangaonkar; Hamed Pirsiavash Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative model; instance segmentation; generalization; stable diffusion; mae; representation learning; zero-shot
3568	pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation Authors: Hansheng Chen; Kai Zhang; Hao Tan; Leonidas Guibas; Gordon Wetzstein; Sai Bi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; flow models; few-step generation; distillation
3569	reAR: Rethinking Visual Autoregressive Models via Token-wise Consistency Regularization Authors: Qiyuan He; Yicong Li; Haotian Ye; Jinghao Wang; Xinyao Liao; Pheng-Ann Heng; Stefano Ermon; James Zou; Angela Yao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Visual Generation; Autoregressive Model
3570	ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization Authors: Lawrence Liu; Alexander Liu; Mengdi Wang; Tuo Zhao; Lin F. Yang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Pruning; Model Compression; Block Coordinate Descent; software libraries; hardware; systems; etc.
3571	AdaCache: Adaptive Caching and Context Augmentation for Efficient LLM Serving Authors: Zeng Zihao; Siyi Li; Xinyu Yan; Lei Xiao; Wei Yang Bryan Lim Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: LLM Inference; Retrieval-Augmented Generation; Caching; Recomputation; software libraries; hardware; systems; etc.
3572	AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism Authors: Ahan Gupta; Zhihao Wang; Neel Dani; Masahiro Tanaka; Olatunji Ruwase; Minjia Zhang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Long context training; Sequence Parallelism; software libraries; hardware; systems; etc.
3573	Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization Authors: Vage Egiazarian; Roberto L. Castro; Denis Kuznedelev; Andrei Panferov; Eldar Kurtic; Shubhra Pandit; Alexandre Noll Marques; Mark Kurtz; Saleh Ashkboos; Torsten Hoefler; Dan Alist… Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: efficiency; quantization; large language models; software libraries; hardware; systems; etc.
3574	Cascadia: An Efficient Cascade Serving System for Large Language Models Authors: Youhe Jiang; Fangcheng Fu; Wanru Zhao; Stephan Rabanser; Jintao Zhang; Nicholas D. Lane; Binhang Yuan Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Distributed; Parallel; and Cluster Computing; software libraries; hardware; systems; etc.
3575	Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration Authors: Yijia Shao; Vinay Samuel; Yucheng Jiang; John Yang; Diyi Yang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: language model agents; human-AI collaboration; human-in-the-loop; evaluation; software libraries; hardware; systems; etc.
3576	DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM Training Authors: Xinwei Qiang; Hongmin chen; Shixuan Sun; Jingwen Leng; Xin Liu; Minyi Guo Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: LLM; Attention Mechanism; Deterministic Training; software libraries; hardware; systems; etc.
3577	DPQuant: Efficient and Private Model Training via Dynamic Quantization Scheduling Authors: Yubo Gao; Renbo Tu; Gennady Pekhimenko; Nandita Vijaykumar Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: differential privacy; quantization; software libraries; hardware; systems; etc.
3578	DSA: Efficient Inference For Video Generation Models via Distributed Sparse Attention Authors: Shenggui Li; Runyu Lu; qiaoling chen; Haiyan Yin; Yueming Lyu; Yonggang Wen; Ivor Tsang; Tianwei Zhang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Distributed System; Diffusion; Inference; Sparsity; software libraries; hardware; systems; etc.
3579	Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents Authors: Tiannuo Yang; Zebin Yao; Bowen Jin; Lixiao Cui; Yusen Li; Gang Wang; xiaoguang Liu; Willie Neiswanger Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Agents; System Efficiency; Information Retrieval; software libraries; hardware; systems; etc.
3580	DualMap: Enabling Both Cache Affinity and Load Balancing for Distributed LLM Serving Authors: Ying Yuan; Pengfei Zuo; Bo Wang; Zhangyu Chen; Zhipeng Tan; Zhou Yu Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Distributed LLM Serving; LLM Context Caching; Request Scheduling; Cache Affinity; Load Balancing; software libraries; hardware; systems; etc.
3581	Dynamic Speculative Agent Planning Authors: Yilin Guan; Qingfeng Lan; Fei Sun; Dujian Ding; Devang Acharya; Chi Wang; William Yang Wang; Wenyue Hua Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: agent; efficiency; online learning; reinforcement learning; software libraries; hardware; systems; etc.
3582	Efficient-SAM2: Accelerating SAM2 with Object-Aware Visual Encoding and Memory Retrieval Authors: Jing Zhang; Zhikai Li; Xuewen Liu; Qingyi Gu Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Segmemt Anything Model; Efficient Deep Learning; Model Acceleration; software libraries; hardware; systems; etc.
3583	FlexHiNM-GP: Flexible Hierarchical Pruning via Region Allocation and Channel Permutation Authors: YI XIAODIE; Hayun Lee; Dongkun Shin Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Model Pruning; N:M spasity; software libraries; hardware; systems; etc.
3584	FlexLinearAttention: Compiling a Unified Abstraction into Scalable Kernels for Linear Attention Authors: Haojie Duanmu; Size Zheng; Ningxin Zheng; Jianqiao Lu; Xuegui Zheng; Xingcheng Zhang; Li-Wen Chang; Xin Liu; Dahua Lin Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: linear attention; efficiency; compiler; kernels; software libraries; hardware; systems; etc.
3585	FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference Authors: Guangda Liu; Chengwei Li; Zhenyu Ning; Jing Lin; Yiwu Yao; Danning Ke; Minyi Guo; Jieru Zhao Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: LLM inference; KV cache; software libraries; hardware; systems; etc.
3586	Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation Authors: Sayash Kapoor; Benedikt Stroebl; Peter Kirgis; Nitya Nadgir; Zachary S Siegel; Boyi Wei; Tianci Xue; Ziru Chen; Felix Chen; Saiteja Utpala; Franck Ndzomga; Dheeraj Oruganty; Sophi… Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: agents; evaluation; infrastructure; reproducibility; standardization; software libraries; hardware; systems; etc.
3587	LeRobot: An Open-Source Library for End-to-End Robot Learning Authors: Remi Cadene; Simon Alibert; Francesco Capuano; Michel Aractingi; Adil Zouitine; Pepijn Kooijmans; Jade Choghari; Martino Russi; Caroline Pascal; Steven Palma; Dana Aubakirova; Mus… Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: robot learning; open source; robotics; software libraries; hardware; systems; etc.
3588	Libra: Effective yet Efficient Load Balancing for Large-scale MoE Inference Authors: Jaehoon Yang; Yushin Kim; Seokwon Moon; Yeonhong Park; Jae W. Lee Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Mixture-of-Experts; Model inference; Expert load imbalance; Dynamic load balancing; software libraries; hardware; systems; etc.
3589	MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs Authors: Zhenyan Lu; Daliang Xu; Dongqi Cai; Zexi Li; Wei Liu; Jian Luan; Fangming Liu; Shangguang Wang; Mengwei Xu Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: knowledge editing; resource-constrained devices; privacy-preserving; software libraries; hardware; systems; etc.
3590	NLI : Non-uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs Inference Authors: Jiangyong Yu; Xiaomeng Han; Xing Hu; Chen Xu; Zhe jiang; Dawei Yang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Dynamic Programming; Non-linear Approximation; Large Language Models; Quantization; Hardware Acceleration; Edge Inference; Calibration-Free; software libraries…
3591	Out of the Memory Barrier: A Highly Memory-Efficient Training System for LLMs with Million-Token Contexts Authors: Wenhao Li; Daohai Yu; Gen Luo; Yuxin Zhang; Yifan Wu; Jiaxin Liu; Ziyang Gong; Zimu Liao; Fei Chao; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: LLM; NLP; Long-Context LLM; Memory Efficient Training; software libraries; hardware; systems; etc.
3592	PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Authors: Tengxuan Liu; Shiyao Li; Jiayi Yang; Tianchen Zhao; Feng Zhou; Xiaohui Song; Guohao Dai; Shengen Yan; Huazhong Yang; Yu Wang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: KV Cache Quantization; software libraries; hardware; systems; etc.
3593	Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences Authors: Jing Yang; Qiyao Wei; Jiaxin Pei Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: peer review; review dynamic; aiml; community; software libraries; hardware; systems; etc.
3594	Predicting LLM Output Length via Entropy-Guided Representations Authors: Huanyi Xie; Yubin Chen; Liangyu Wang; Lijie Hu; Di Wang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Large Language Models; Length Prediction; Progressive Length Prediction; software libraries; hardware; systems; etc.
3595	Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters Authors: Zonghang Li; Tao Li; Wenjiao Feng; Rongxing Xiao; Jianshu She; Hong Huang; Mohsen Guizani; Hongfang Yu; Qirong Ho; Wei Xiang; Xue Liu Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Distributed LLM system; on-device inference; low-resource and heterogeneous devices; home AI; software libraries; hardware; systems; etc.
3596	Reasoning Language Model Inference Serving Unveiled: An Empirical Study Authors: Qi Li; Junpan Wu; Xiang Liu; Yuxin Wang; Zeyu Li; Zhenheng Tang; Yuhan Chen; Shaohuai Shi; Xiaowen Chu Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Reasoning Large Language Model; LLM Serving; software libraries; hardware; systems; etc.
3597	Revisiting Parameter Server in LLM Post-Training Authors: Xinyi Wan; Penghui Qi; Guangxing Huang; Chaoyi Ruan; Min Lin; Jialin Li Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Distributed Training; ZeRO Optimizer; FSDP; Parameter Server; software libraries; hardware; systems; etc.
3598	SERE: Similarity-based Expert Re-routing for Efficient Batch Decoding in MoE Models Authors: Juntong Wu; Jialiang Cheng; Fuyu Lv; OU Dan; Li Yuan Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: MoE Model; Inference Acceleration; Batch Decoding; Expert Re-routing; software libraries; hardware; systems; etc.
3599	SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization Authors: Yeonsik Park; Hyeonseong Kim; Seungkyu Choi Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: LLM; Quantization; PTQ; LoRA; Error Reconstruction; software libraries; hardware; systems; etc.
3600	STARK: Strategic Team of Agents for Refining Kernels Authors: Juncheng Dong; Yang Yang; Tao Liu; Yang Wang; Feng Qi; Vahid Tarokh; Kaushik Rangadurai; Shuang Yang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: large language model; agent; kernel optimization; efficiency; software libraries; hardware; systems; etc.
3601	Scaling Large Vision-Language Model RL Training via Efficient Load Balancing Authors: Zerui Wang; Qinghao Hu; Chang Chen; Jiecheng Zhou; Haojie Duanmu; Xingcheng Zhang; Peng Sun; Dahua Lin Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: RL Training; Load Balancing; Seuqence Parallelism; Distributed Training; software libraries; hardware; systems; etc.
3602	Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling Authors: Yan Li; Zhenyu Zhang; Zhengang Wang; Pengfei chen; Pengfei Zheng Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Mixture of Experts; All-to-All Communication; Distributed Inference; software libraries; hardware; systems; etc.
3603	SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations Authors: Wentao Guo; Mayank Mishra; Xinle Cheng; Ion Stoica; Tri Dao Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Mixture of Experts; GPU; kernel; software libraries; hardware; systems; etc.
3604	SpareTrain: Fault-Tolerant LLM Training via Low-Cost Dual Modular Redundancy Authors: Rihae Park; Yeonjae Kim; Seung Yul Lee; Yeonhong Park; Jae W. Lee Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: large language models; distributed training; silent data corruption; fault-tolerance; activation checkpointing; parallelism; software libraries; hardware; syst…
3605	TINY BUT MIGHTY: A SOFTWARE-HARDWARE CO-DESIGN APPROACH FOR EFFICIENT MULTIMODAL INFERENCE ON BATTERY-POWERED SMALL DEVICES Authors: Yilong Li; Yijing Zeng; Shuai Zhang; Hao Zhang; Xinmiao Xiong; Jingyu Liu; Pan Hu; Suman Banerjee Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: On-device VLM; Efficient Inference; Software-Hardware Co-Design; Quantization; NPU; GPU; software libraries; hardware; systems; etc.
3606	The Matthew Effect of AI Programming Assistants: A Hidden Bias in Software Evolution Authors: Fei Gu; Zi Liang; Jiahao MA; Hongzong LI Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: AI programming assistants; large language models; code generation; Matthew effect; software ecosystem evolution; programming languages and frameworks; multilin…
3607	ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity Optimization Authors: Jiayu Chen; Ruoyu Lin; Zihao Zheng; Jingxin Le; Maoliang Li; Guojie Luo; Xiang Chen Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Image Generation; Autoregressive Models; Efficient Visual Generation; software libraries; hardware; systems; etc.
3608	TyphoonMLA: A Mixed Naive-Absorb MLA Kernel For Shared Prefix Authors: Ahmet Caner Yüzügüler; Ahmet Çelik; Jiawei Zhuang; Lukas Cavigelli Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Large language models; inference; multi-head latent attention; shared prefix; software libraries; hardware; systems; etc.
3609	UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs Authors: Hung-Yueh Chiang; Chi-Chih Chang; Yu-Chen Lu; Chien-Yu Lin; Kai-Chiang Wu; Mohamed S. Abdelfattah; Diana Marculescu Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: large language model; model quantization; model compression; software libraries; hardware; systems; etc.
3610	Unlocking Full Efficiency of Token Filtering in Large Language Model Training Authors: Di Chai; LI Pengbo; Feiyuan Zhang; Yilun Jin; Han Tian; Kaiqiang Xu; Binhang Yuan; Dian Shen; Junxue Zhang; Kai Chen Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Efficient LLM Training; Token Filtering; software libraries; hardware; systems; etc.
3611	$\mathbf{Li_2}$: A Framework on Dynamics of Feature Emergence and Delayed Generalization Authors: Yuandong Tian Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: grokking; gradient dynamics; generalization; memorization; modular addition; scaling laws
3612	A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models Authors: Lixin Xiu; Xufang Luo; Hideki Nakayama Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Multimodal Learning; Large Vision-Language Models; Partial Information Decomposition; Information Theory
3613	A General Framework for Black-Box Attacks Under Cost Asymmetry Authors: Mahdi Salmani; Alireza Abdollahpoorrostam; Seyed-Mohsen Moosavi-Dezfooli Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: zeroth-order optimization; asymmetric cost; black-box adversarial attacks
3614	A Probabilistic Hard Concept Bottleneck for Steerable Generative Models Authors: María Martínez-García; Ricardo Vazquez Alvarez; Alejandro Lancho; Pablo M. Olmos; Isabel Valera Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: generative models; interpretability; steerability; concept bottleneck; hard concepts; probabilistic models
3615	ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall Authors: Jiayu Yang; Yuxuan Fan; Songning Lai; Shengen Wu; Jiaqi Tang; Chun Kang; Zhijiang Guo; Yutao Yue Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Model; Knowledge Editing; Multi-hop Factual Recall; Mechanism Interpretability
3616	ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks Authors: Yu Zhang; Sean Bin Yang; Arijit Khan; Cuneyt Gurcan Akcora Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Graph Neural Network; Counterfactual Explanation; Adversarial Attack
3617	AbsTopK: Rethinking Sparse Autoencoders For Bidirectional Features Authors: Xudong Zhu; Mohammad Mahdi Khalili; Zhihui Zhu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Sparse Autoencoder; Mechanistic Interpretability
3618	Adaptive Concept Discovery for Interpretable Few-Shot Text Classification Authors: ZHENG Lifang; Hanmo Liu; Kani Chen Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: concept bottleneck models; few-shot text classification
3619	An Information-Theoretic Parameter-Free Bayesian Framework for Probing Labeled Dependency Trees from Attention Score Authors: Hongxu Liu; Jing Ma; Xiaojie Wang; Caixia Yuan; Fangxiang Feng Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: probing; attention score; dependency syntax; mutual information
3620	Attributing Response to Context: A Jensen–Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation Authors: Ruizhe Li; Chen Chen; Yuchen Hu; Yanjun Gao; Xi Wang; Emine Yilmaz Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: context attribution; mechanistic interpretability; RAG
3621	Attribution-Guided Decoding Authors: Piotr Komorowski; Elena Golimblevskaia; Reduan Achtibat; Thomas Wiegand; Sebastian Lapuschkin; Wojciech Samek Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: decoding; steering; feature attribution; mechanistic interpretability; explainable AI; instruction following; factuality; language model; generation
3622	AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning Authors: Bowen Ping; Minnan Luo; Zhuohang Dang; Chenxi Wang; Chengyou Jia Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Neural-symbolic; geometry problem solving; interpretable and reliable reasoning
3623	Automated Interpretability Metrics Do Not Distinguish Trained and Random Transformers Authors: Thomas Heap; Tim Lawson; Lucy Farnik; Laurence Aitchison Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Sparse Autoencoders; SAEs; LLMs; interpretability
3624	Bayesian Influence Functions for Hessian-Free Data Attribution Authors: Philipp Alexander Kreer; Wilson Wu; Maxwell Adam; Zach Furman; Jesse Hoogland Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Training Data Attribution; Interpretability; SGMCMC; Influence Functions; MCMC; Loss Landscape; Geometry; Singular Learning Theory; Robustness
3625	Bayesian Neural Networks for Functional ANOVA Model Authors: Seokhun Park; Choeun Kim; Jihu Lee; Yunseop Shin; Insung Kong; Yongdai Kim Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Bayesian Machine Learning; Functional ANOVA Model; Bayesian Neural Networks; Interpretable AI
3626	Behavior Learning (BL) Authors: Zhenyao Ma; Yue Liang; Dongxu Li Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Inverse Optimization; Energy-Based Models (EBMs); Intrinsic Interpretability; Identifiability; Behavioral Modeling
3627	Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective Authors: Siwei Wang; Yifei Shen; Haoran Sun; Shi Feng; Shang-Hua Teng; Li Dong; Yaru Hao; Wei Chen Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: LLM Planning; Path Planning; Reinforcement Learning
3628	Bilinear representation mitigates reversal curse and enables consistent model editing Authors: Dong-Kyum Kim; Minsung Kim; Jea Kwon; Nakyeong Yang; Meeyoung Cha Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: model editing; reversal curse; language model; relational knowledge; knowledge editing
3629	Block Recurrent Dynamics in Vision Transformers Authors: Mozes Jacobs; Thomas Fel; Richard Hakim; Alessandra Brondetta; Demba E. Ba; T. Anderson Keller Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Computer Vision; Interpretability; Dynamical system
3630	Boosting for Predictive Sufficiency Authors: Abbavaram Gowtham Reddy; Rajeev Verma; Celia Rubio-Madrigal; Krikamol Muandet; Rebekka Burkholz Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: OOD Generalization; Boosting; Predictive sufficiency; Reference Class
3631	Bridging Explainability and Embeddings: BEE Aware of Spuriousness Authors: Cristian Daniel Paduraru; Antonio Barbalau; Radu Filipescu; Andrei Liviu Nicolicioiu; Elena Burceanu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: spurious correlation; interpretability; clip; foundation models
3632	CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model Authors: Xinran Xu; Xiuyi Fan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: uncertainty estimation; model interpretability; trustworthy AI
3633	Can SAEs reveal and mitigate racial biases of LLMs in healthcare? Authors: Hiba Ahsan; Byron C Wallace Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: clinical natural language processing; mechanistic interpretability
3634	Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice Authors: Jiachen T. Wang; Tong Wu; Kaifeng Lyu; James Zou; Dawn Song; Ruoxi Jia; Prateek Mittal Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: proxy models; data curation
3635	Causal Interpretation of Neural Network Computations with Contribution Decomposition Authors: Joshua Brendan Melander; Zaki Alaoui; Shenghua Liu; Surya Ganguli; Stephen Baccus Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretibility; neuroscience; xai; ai safety; tool-development
3636	Causality ≠ Invariance: Function and Concept Vectors in LLMs Authors: Gustaw Opielka; Hannes Rosenbusch; Claire E Stevenson Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; LLMs; attention heads; in-context learning; concept invariance
3637	Certified Evaluation of Model-Level Explanations for Graph Neural Networks Authors: Sayan Saha; Sanghamitra Bandyopadhyay Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Model-Level Explanations for GNNs; Theory of XAI; Evaluation of GNN Explainablity
3638	Characterizing Pattern Matching and Its Limits on Compositional Task Structures Authors: Hoyeon Chang; Jinho Park; Hanseul Cho; Sohee Yang; Miyoung Ko; Hyeonbin Hwang; Seungpil Won; Dohaeng Lee; Youbin Ahn; Minjoon Seo Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: pattern matching; compositional generalization; functional equivalence; coverage; path ambiguity; mechanistic interpretability
3639	Characterizing and Mitigating Reasoning Drift in Large Language Models Authors: Yufeng Zhang; Xuepeng Wang; Lingxiang Wu; Jinqiao Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Steering Vector; LLMs Reasoning; Inference-time Scaling
3640	Circuit Insights: Towards Interpretability Beyond Activations Authors: Elena Golimblevskaia; Aakriti Jain; Bruno Puri; Ammar Ibrahim; Wojciech Samek; Sebastian Lapuschkin Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; automated interpretability; explainable AI; transcoders; large language models; circuits
3641	Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Authors: Yukun Huang; Sanxing Chen; Jian Pei; Manzil Zaheer; Bhuwan Dhingra Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Models; Knowledge Attribution; Interpretability and explainable AI; Citations
3642	Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal Reasoning Authors: Yucheng Wang; Yifan Hou; Aydin Javadov; Mubashara Akhtar; Mrinmaya Sachan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Multimodal large language models; Modality interactions; Multimodal reasoning; Model interpretation; Attention probing; Causal analysis; Task composition; Moda…
3643	Concepts' Information Bottleneck Models Authors: Karim Galliamov; Syed M Ahsan Kazmi; Adil Khan; Adín Ramírez Rivera Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Concept bottleneck models; Information bottleneck; Variational Inference
3644	ContextBench: Modifying Contexts for Targeted Latent Activation and Behaviour Elicitation Authors: Robert Graham; Edward Stevinson; Leo Richter; Alexander Chia; Joseph Miller; Joseph Isaac Bloom Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; AI Safety; Prompt Optimisation; Sparse Autoencoders; Elicitation; Feature Visualisation
3645	Counterfactual Explanations on Robust Perceptual Geodesics Authors: Eslam Zaher; Dr Maciej Trzaskowski; Quan Nguyen; Fred Roosta Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Visual Counterfactual Explanations; Explainability
3646	Cross-Modal Redundancy and the Geometry of Vision–Language Embeddings Authors: Grégoire DHIMOÏLA; Thomas Fel; Victor Boutin; Agustin Martin Picard Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: multimodal; concepts; sparse autoencoder; modality gap; applications of interpretability
3647	Debugging Concept Bottleneck Models through Removal and Retraining Authors: Eric Enouen; sainyam galhotra Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: concept bottleneck; prototypical part network; interpretability; human debugging
3648	Decomposing LLM Computation with Jets Authors: Yihong Chen; Xiangxiang Xu; Pontus Stenetorp; Sebastian Riedel; Luca Franceschi Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: decomposition; transformer; neural-symbolic; n-grams; interpretability; controllability
3649	Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning Authors: Xinting Huang; Michael Hahn Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Unsupervised Learning; Representation Space Geometry
3650	Deconstructing Positional Information: From Attention Logits to Training Biases Authors: Zihan Gu; Ruoyu Chen; Han Zhang; Hua Zhang; Yue Hu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Position Encoding; Toeplitz Matrix; Attention Logit.
3651	Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring Authors: Changhun Kim; Yechan Mun; Hyeongwon Jang; Eunseo Lee; Sangchul Hahn; Eunho Yang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Time Series; Online Time Series Monitoring; Explainable Artificial Intelligence; XAI
3652	Diagnosing Generalization Failures from Representational Geometry Markers Authors: Chi-Ning Chou; Artem Kirsanov; Yao-Yuan Yang; SueYeon Chung Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Representational geometry; Out of distribution generalization; Image classification
3653	Discovering and Steering Interpretable Concepts in Large Generative Music Models Authors: Nikhil Singh; Manuel Cherep; Patricia Maes Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Generative Models; Music; Mechanistic; Sparse Autoencoders
3654	Dissecting Representation Misalignment in Contrastive Learning via Influence Function Authors: Huanyi Xie; Chenyang Ren; Khouloud Saadi; Shu Yang; Zhen Tan; Jingfeng Zhang; Lijie Hu; Di Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Data Attribution; Influence Function; Contrastive Learning
3655	Does Higher Interpretability Imply Better Utility? A Pairwise Analysis on Sparse Autoencoders Authors: Xu Wang; Yan Hu; Benyou Wang; Difan Zou Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Sparse Autoencoders; Interpretability; Utility
3656	Dynamic Weight Grafting: Localizing Finetuned Factual Knowledge in Transformers Authors: Todd Nief; David Reber; Sean M. Richardson; Ari Holtzman Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability
3657	Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIP Authors: Lorenz Hufe; Constantin Venhoff; Erblina Purelku; Maximilian Dreyer; Sebastian Lapuschkin; Wojciech Samek Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Multimodality; Circuit analysis; Probing; AI Safety; Vision transformers
3658	Efficient Estimation of Kernel Surrogate Models for Task Attribution Authors: Zhenshuo Zhang; Minxuan Duan; Hongyang R. Zhang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Model interpretability; Task attribution; Kernels methods
3659	Emergent Misalignment is Easy, Narrow Misalignment is Hard Authors: Anna Soligo; Edward Turner; Senthooran Rajamanoharan; Neel Nanda Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Emergent Misalignment; Interpretability; Safety; Alignment; Model Organisms
3660	Emotions Where Art Thou: Understanding and Characterizing the Emotional Latent Space of Large Language Models Authors: Benjamin Reichman; Adar Avsian; Larry Heck Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: emotions; latent space
3661	Escaping Low-Rank Traps: Interpretable Visual Concept Learning via Implicit Vector Quantization Authors: Shujian Gao; Yuan Wang; Chenglong Ma; Xin Gao; Jiangtao Yan; Junzhi Ning; Cheng Tang; Changkai Ji; Huihui Xu; Wei Li; Ziyan Huang; Jiashi Lin; Ming Hu; Jiyao Liu; Wenhao Tang; Ye… Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Concept Bottleneck Models; Visual Concept Learning; Vision-Language Models; Representational Collapse; Interpretability; Cross-modality Alignment
3662	Evaluating Data Influence in Meta Learning Authors: Chenyang Ren; Huanyi Xie; Shu Yang; Meng Ding; Dongrui Liu; Lijie Hu; Di Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Data Attribution; Influence Function; Meta Learning
3663	Evaluating SAE interpretability without generating explanations Authors: Gonçalo Paulo; Nora Belrose Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; explanation; sae; transcoder
3664	Evolution and compression in LLMs: on the emergence of human-aligned categorization Authors: Nathaniel Imel; Noga Zaslavsky Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: LLMs; information theory; semantics
3665	Evolution of Concepts in Language Model Pre-Training Authors: Xuyang Ge; Wentao Shu; Jiaxing Wu; Yunhua Zhou; Zhengfu He; Xipeng Qiu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Model; Pre-Training; Mechanistic Interpretability; Training Dynamics; Crosscoder
3666	Expert Heads: Robust Evidence Identification for Large Language Models Authors: Qi Wu; Jianfeng Qu; Ximing Li; Zhixu Li Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large language model; Knowledge Integration; Attention Mechanisms
3667	Explainable Mixture Models through Differentiable Rule Learning Authors: Matthias Wilms; Sascha Xu; Jilles Vreeken Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mixture modeling; Interpretability; Conditional Density Estimation
3668	Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts Authors: Yubin Wang; XINYANG JIANG; De Cheng; Xiangqian Zhao; Zilong Wang; Dongsheng Li; Cairong Zhao Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: prompt tuning; explainable AI; knowledge discovery; prototype learning
3669	FAME: Formal Abstract Minimal Explanation for Neural Networks Authors: Ryma Boumazouza; Raya Elsaleh; Melanie Ducoffe; Shahaf Bassan; Guy Katz Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: abductive explanations; abstract interpretation; robustness; NN verification
3670	Faithful Bi-Directional Model Steering via Distribution Matching and Distributed Interchange Interventions Authors: Yuntai Bao; Xuhong Zhang; Jintao Chen; Ge Su; Yuxiang Cai; Hao Peng; SUN Bing; Haiqin Weng; Liu Yan; Jianwei Yin Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: model steering; mechanistic interpretability
3671	Faithfulness Under the Distribution: A New Look at Attribution Evaluation Authors: Zhiyu Zhu; Zhibo Jin; Jiayu Zhang; Bartlomiej Sobieski; Przemyslaw Biecek; Fang Chen; Jianlong Zhou Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Attribution Evaluation; Model Faithfulness; In-Distribution Perturbation; Out-of-Distribution Bias
3672	Feature segregation by signed weights in artificial vision systems and biological models Authors: Giordano Ramos-Traslosheros; Carlos R Ponce Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: ventral stream; circuit mechanisms; interpretability; deep learning; visual system; excitation inhibition; neuroscience; closed-loop optimization; ablation
3673	Features Emerge as Discrete States: The First Application of SAEs to 3D Representations Authors: Albert Miao; Chenliang Zhou; Jiawei Zhou; Cengiz Oztireli Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: sparse autoencoders; mechanistic interpretability; computer vision
3674	First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation Authors: Dmytro Vitel; Anshuman Chhabra Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Influence function; Data valuation; Model Debugging; Detrimental Sample Detection
3675	Flow-Disentangled Feature Importance Authors: Xingshu Chen; Yifeng Guo; Jin-Hong Du Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Feature Importance; Statistical Inference; Correlation Distortion; Uncertainty Quantification
3676	Formal Mechanistic Interpretability: Automated Circuit Discovery with Provable Guarantees Authors: Itamar Hadad; Guy Katz; Shahaf Bassan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; mechanistic interpretability; circuit discovery
3677	Fresh in memory: Training-order recency is linearly encoded in language model activations Authors: Dmitrii Krasheninnikov; Richard E. Turner; David Krueger Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Language models; interpretability; training dynamics; representation learning; memorization; confidence; knowledge awareness
3678	From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers Authors: Jingtong Su; Julia Kempe; Karen Ullrich Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: transformers; language models; multi-head self-attention; interpretability
3679	From Data Statistics to Feature Geometry: How Correlations Shape Superposition Authors: Lucas Prieto; Edward Stevinson; Melih Barsbey; Tolga Birdal; Pedro A. M. Mediano Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Superposition; Linear Representation Hypothesis; Feature Geometry; Feature Manifold
3680	From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning Authors: Chen Shani; Liron Soffer; Dan Jurafsky; Yann LeCun; Ravid Shwartz-Ziv Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Compression; Human and Machine Cognition; Information Theory; Concepts
3681	Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition Authors: Qinyuan Ye; Robin Jia; Xiang Ren Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; language models; task generalization; induction heads
3682	FutureMind: Equipping Small Language Models with Strategic Thinking-Pattern Priors via Adaptive Knowledge Distillation Authors: Shaoxiong Yang; Junting Li; Mengyuan Zhang; Chao Li; Wei Liu; Jian Luan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Small Language Models; Adaptive Knowledge Distillation; Thinking Pattern
3683	GNN Explanations that do not Explain and How to find Them Authors: Steve Azzolin; Stefano Teso; Bruno Lepri; Andrea Passerini; Sagar Malhotra Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: graph neural networks; explainability; self-explainable; auditing; faithfulness
3684	GRADIEND: Feature Learning within Neural Networks Exemplified through Biases Authors: Jonathan Drechsel; Steffen Herbold Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Feature Learning; Bias Mitigation; AI Fairness; Language Models
3685	Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test Authors: Ziyue Li; Chenrui Fan; Tianyi Zhou Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Generalization; Large Language Models
3686	Hallucination Reduction with CASAL: Contrastive Activation Steering for Amortized Learning Authors: Wannan Yang; Xinchi Qiu; Lei Yu; Yuchen Zhang; Aobo Yang; Narine Kokhlikyan; Nicola Cancedda; Diego Garcia-Olano Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: hallucination; representation learning; interpretability; finetuning; steering
3687	Hedonic Neurons: A Mechanistic Mapping of Latent Coalitions in Transformer MLPs Authors: Tanya Chowdhury; Atharva Nijasure; Yair Zick; James Allan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; feature discovery; MLPs
3688	Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs Authors: Vishal Pramanik; Maisha Maliha; Nathaniel D. Bastian; Sumit Kumar Jha Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainable AI; Attribution; LLMs
3689	Hidden Breakthroughs in Language Model Training Authors: Sara Kangaslahti; Elan Rosenfeld; Naomi Saphra Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability techniques; loss disaggregation; phase transitions
3690	Hierarchical Concept-based Interpretable Models Authors: Oscar Hill; Mateo Espinosa Zarlenga; Mateja Jamnik Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainable Artificial Intelligence; Concept-based Explainability; Concept Discovery; Concept Hierarchy; Concept Bottleneck Models; Concept Embedding Models; C…
3691	How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data Authors: Bhavya Vasudeva; Puneesh Deora; Yize Zhao; Vatsal Sharan; Christos Thrampoulidis Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Muon; Shampoo; Spectral Gradient Descent; Generalization
3692	Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization Authors: Yunzhe Hu; Difan Zou; Dong Xu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Transformer; Hopfield Energy; Principled Model Design
3693	I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? Authors: Yuhang Liu; Dong Gong; Yichao Cai; Erdun Gao; Zhen Zhang; Biwei Huang; Mingming Gong; Anton van den Hengel; Javen Qinfeng Shi Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: large language model representations; human-interpretable concept; latent variable model
3694	Identifying and Evaluating Inactive Heads in Pretrained LLMs Authors: Pedro Sandoval-Segura; Xijun Wang; Ashwinee Panda; Micah Goldblum; Ronen Basri; Tom Goldstein; David Jacobs Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: dormant attention; multi-head attention; attention heads; attention sinks
3695	In-Context Algebra Authors: Eric Todd; Jannik Brinkmann; Rohit Gandikota; David Bau Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; In-Context Learning; ICL; Algebra; Grokking; Symbolic Reasoning
3696	Inferring the Invisible: Neuro-Symbolic Rule Discovery for Missing Value Imputation Authors: Wendi Ren; Ke Wan; Junyu Leng; Shuang Li Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Neuro-symbolic Learning; Rule Discovery; Interpretable Reasoning
3697	Influence Dynamics and Stagewise Data Attribution Authors: Jin Hwa Lee; Matthew J. A. Smith; Maxwell Adam; Jesse Hoogland Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Training data attribution; influence functions; singular learning theory; stagewise development; phase transitions; developmental interpretability; Bayesian in…
3698	Internal Planning in Language Models: Characterizing Horizon and Branch Awareness Authors: Muhammed Ustaomeroglu; Baris Askin; Gauri Joshi; Carlee Joe-Wong; Guannan Qu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: language model; LLM; deep learning; planning; explainability; interpretability; information theory; mechanistic interpretability
3699	Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning Authors: Nhi Pham; Artur Jesslen; Bernt Schiele; Adam Kortylewski; Jonas Fischer Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Robustness; 3D-aware classification with concepts; Sparse volumetric object representation; 3D consistency
3700	Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry Authors: Thomas Fel; Binxu Wang; Michael A. Lepori; Matthew Kowal; Andrew Lee; Randall Balestriero; Sonia Joseph; Ekdeep Singh Lubana; Talia Konkle; Demba E. Ba; Martin Wattenberg Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: computer vision; interpretability; convex geometry
3701	Joint Distribution–Informed Shapley Values for Sparse Counterfactual Explanations Authors: Lei You; Yijun Bian; Lele Cao Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Counterfactual Explanations; Shapley Values; Optimization; Explainable Machine Learning
3702	LLMs Process Lists With General Filter Heads Authors: Arnab Sen Sharma; Giordano Rogers; Natalie Shapira; David Bau Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; language models; map-filter-reduce; functional programming; symbolic systems
3703	Label-Free Mitigation of Spurious Correlations in VLMs using Sparse Autoencoders Authors: Bharat Chandra Yalavarthi; Nalini K. Ratha; Venu Govindaraju Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Spurious Correlations; Sparse Auto Encoders; Vision-Language Models; Interpretability
3704	Language Models Use Lookbacks to Track Beliefs Authors: Nikhil Prakash; Natalie Shapira; Arnab Sen Sharma; Christoph Riedl; Yonatan Belinkov; Tamar Rott Shaham; David Bau; Atticus Geiger Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Belief Tracking; Theory of Mind
3705	Latent Concept Disentanglement in Transformer-based Language Models Authors: Guan Zhe Hong; Bhavya Vasudeva; Vatsal Sharan; Cyrus Rashtchian; Prabhakar Raghavan; Rina Panigrahy Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic interpretability; in-context learning; transformers; large language models; disentanglement
3706	Latent Planning Emerges with Scale Authors: Michael Hanna; Emmanuel Ameisen Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: planning; feature circuits; circuits; mechanistic interpretability
3707	Learning AND–OR Templates for Compositional Representation in Art and Design Authors: Liaoruxing Zhang; Xin Jin; Wenbo Yuan; ChenYu Fan; Song-Chun Zhu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: AND-OR Template; Compositional Template Representation; Semi-Supervised Learning; Maximum-Entropy
3708	Learning Concept Bottleneck Models from Mechanistic Explanations Authors: Antonio De Santis; Schrasing Tong; Marco Brambilla; Lalana Kagal Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; concept bottleneck models; computer vision; explainable ai
3709	Learning Human Habits with Rule-Guided Active Inference Authors: GONG ZHIREN; Chao Yang; Wendi Ren; Shuang Li Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Human Behavior Modeling; Active Inference; Logic Rule; Wake-Sleep Inference
3710	Learning for Highly Faithful Explainability Authors: Yuhan Guo; Lizhong Ding; Shihao Jia; Yanyu Ren; Pengqi Li; Jiarun Fu; Changsheng Li; Ye Yuan; Guoren Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainability; Faithfulness; Learning to Explain
3711	Learning multimodal dictionary decompositions with group-sparse autoencoders Authors: Chiraag Kaushik; Davis Barch; Andrea Fanelli Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: sparse autoencoders; dictionary learning; multimodal representation learning; group sparsity; interpretability
3712	Learning to Interpret Weight Differences in Language Models Authors: Avichal Goel; Yoon Kim; Nir N Shavit; Tony T. Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: introspection; interpretability; weight diffs
3713	Learning to Weight Parameters for Training Data Attribution Authors: Shuangqi Li; Hieu Le; Jingyi Xu; Mathieu Salzmann Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Training Data attribution; Influence function
3714	Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Models Authors: Raphi Kang; Hongqiao Chen; Georgia Gkioxari; Pietro Perona Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; vision; VLMs; visual reasoning; spatial understanding; temporal understanding; video
3715	LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them? Authors: J. Ben Tamo; Daniel Carlander-Reuterfelt; Jonathan Rubin; Oleg Poliannikov; Dezhi Hong; Mingxian Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Multilingual Language Models; Language Consistency; Cross-lingual Transfer; Interpretability; Logit Lens; Semantic Similarity; Layerwise Fine-Tuning; Output Sp…
3716	Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis Authors: Haolin Yang; Hakaze Cho; Naoya Inoue Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; In-context Learning; Large Language Model
3717	LogicXGNN: Grounded Logical Rules for Explaining Graph Neural Networks Authors: Chuqin Geng; Ziyu Zhao; Zhaoyue Wang; Haolin Ye; Yuhe Jiang; Xujie Si Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Graph Neural Networks; Interpretability; Explainability; Neural-symbolic; Logical Rules; AI for Science; XAI
3718	Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs Authors: Zhuowen Liang; Xiaotian Lin; Zhengxuan Zhang; Yuyu Luo; Haixun Wang; Nan Tang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Information Extraction; Document Analysis; Small Language Models; Reinforcement Learning
3719	MICLIP: Learning to Interpret Representation in Vision Models Authors: Yingdong Shi; Zhiyu Yang; Changming Li; Jingyi Yu; Kan Ren Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; contrastive learning; sparse autoencoder
3720	Mapping Semantic & Syntactic Relationships with Geometric Rotation Authors: Michael Freenor; Lauren Alvarez Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Embedding Models; Steering Vectors; High Dimensional Geometry; LLMs; Unit Hypersphere
3721	Markovian Transformers for Informative Language Modeling Authors: Scott W Viteri; Max Lamparth; Peter Chatain; Clark Barrett Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Markovian Transformers; chain-of-thought reasoning; language model interpretability; causal reasoning; reinforcement learning; next-token prediction; GSM8K; la…
3722	Mechanism of Task-oriented Information Removal in In-context Learning Authors: Hakaze Cho; Haolin Yang; Gouki Minegishi; Naoya Inoue Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; In-context Learning; Large Language Model
3723	Medical Interpretability and Knowledge Maps of Large Language Models Authors: Razvan Marinescu; Victoria-Elisabeth Gruber; Diego Fajardo V. Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Models; Interpretability; Explainability; Medicine; Healthcare; Knowledge Maps
3724	Missingness Bias Calibration in Feature Attribution Explanations Authors: Shailesh Sridhar; Anton Xue; Eric Wong Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: explainability; feature; attribution; calibration; missingness; bias; medical; medicine; LLMs; Machine Learning
3725	Mixing Mechanisms: How Language Models Retrieve Bound Entities In-Context Authors: Yoav Gur-Arieh; Mor Geva; Atticus Geiger Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Entity Binding; Causal Abstraction; Mechanistic Interpretability
3726	More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences Authors: Chung Park; Hyeongjun Yun; Taesan Kim; Junui Hong; Dongjoon Hong; Mira Myong; Jihoon Oh; MinCheol Cho; Kijung Park; Min sung Choi; Jihwan Seok; Jaegul Choo Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: LLM-based Recommendation; Rationale; Revealed Preference; Explainable Recommender
3727	Multilingual Routing in Mixture-of-Experts Authors: Lucas Bandarkar; Chenyuan Yang; Mohsen Fayyaz; Junlin Hu; Nanyun Peng Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mixture-of-expert; cross-lingual transfer; multilingual; model modularity; math; interpretability; LLM; model steering
3728	NIMO: a Nonlinear Interpretable MOdel Authors: Shijian Xu; Marcello Massimo Negri; Volker Roth Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: linear model; lasso; interpretability; feature effect; deep learning
3729	Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences Authors: Julian Minder; Clément Dumas; Stewart Slocum; Helena Casademunt; Cameron Holmes; Robert West; Neel Nanda Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Steering; Automated interpretability; Benchmarking interpretability
3730	NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion Authors: Max Collins; Jordan Vice; Tim French; Ajmal Saeed Mian Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: adversarial attacks; denoising diffusion models; natural adversarial samples; model robustness; test-time errors
3731	Negative Pre-activations Differentiate Syntax Authors: Linghao Kong; Angelina Ning; Micah Adler; Nir N Shavit Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: entanglement; Wasserstein distance; negative pre-activation; syntax; interpretability
3732	Neologism Learning for Controllability and Self-Verbalization Authors: John Hewitt; Oyvind Tafjord; Robert Geirhos; Been Kim Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; alignment; steering
3733	Neural+Symbolic Approaches for Interpretable Actor-Critic Reinforcement Learning Authors: Yue Yang; Fan Yang; Yu Bai; Hao Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretable; RL; Symbolic
3734	Neuron-Aware Data Selection in Instruction Tuning for Large Language Models Authors: Xin Chen; Junchao Wu; Shu Yang; Runzhe Zhan; Zeyu Wu; Min Yang; Shujian Huang; Lidia S. Chao; Derek F. Wong Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Instruction Tuning; Data Selection; Large Language Models
3735	Neuron-Level Analysis of Cultural Understanding in Large Language Models Authors: Taisei Yamamoto; Ryoma Kumon; Danushka Bollegala; Hitomi Yanaka Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: cultural understanding; neuron-level analysis; LLM interpretability
3736	On The Geometry and Topology of Representations: the Manifolds of Modular Addition Authors: Gabriela Moisescu-Pareja; Gavin McCracken; Harley Wiltzer; Colin Daniels; Vincent Létourneau; Doina Precup; Jonathan Love Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; representation learning; geometry; topology; manifolds; universality; platonic representation hypothesis
3737	On the Expressiveness of State Space Models via Temporal Logics Authors: Eric Alsmann; Lowejatan Noori; Martin Lange Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: state space models; expressiveness; temporal logics
3738	On the Impact of the Utility in Semivalue-based Data Valuation Authors: Mélissa Tamine; Benjamin Heymann; Maxime Vono; Patrick Loiseau Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Data valuation; Semivalue; Utility; Robustness
3739	On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy Authors: Jingyi Cui; Qi Zhang; Yifei Wang; Yisen Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: sparse autoencoder; SAE; theoretical understanding
3740	On the Predictive Power of Representation Dispersion in Language Models Authors: Yanhong Li; Ming Li; Karen Livescu; Jiawei Zhou Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Embedding geometry; Unsupervised evaluation; Mechanistic interpretability; Large Language Models; Label-free metrics
3741	On the Spectral Differences Between NTK and CNTK and Their Implications for Point Cloud Recognition Authors: Yuanqu Mou; Chang Gou; Haiyang Bai; Jia Liu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Neural Tangent Kernel; Interpretability of neural networks
3742	Paradigm Shift of GNN Explainer from Label Space to Prototypical Representation Space Authors: Jun Yin; Senzhang Wang; Ziluowen Luo; Peng Huo; Hao Yan; Hao Miao; Chaozhuo Li; Shirui Pan; Chengqi Zhang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Graph Neural Networks; GNN Explanation Method; Vector Quantization
3743	Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models Authors: Baolong Bi; Shenghua Liu; Yiwei Wang; Yilong Xu; Junfeng Fang; Lingrui Mei; Xueqi Cheng Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Models; Retrieval-Augmented Generation; Knowledge Conflict; Controllable Generation; Knowledge Reliance
3744	Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNN Authors: Mohammad Taufeeque; Aaron David Tucker; Adam Gleave; Adrià Garriga-Alonso Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; reinforcement learning; sokoban
3745	Patronus: Interpretable Diffusion Models with Prototypes Authors: Nina Weng; Aasa Feragen; Siavash Bigdeli Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; interpretable diffusion model; diffusion models; transparency; prototypical network; shortcut learning; bias detection
3746	PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression Authors: Fabian Fumagalli; R. Teal Witter; Christopher Musco Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainable AI; Kernel SHAP; Shapley Value
3747	Precise and Interpretable Editing of Code Knowledge in Large Language Models Authors: Min Xue; Nikolai Bolik; Lennart Stöpler; Erik Imgrund; Janik Schmid; Artur Andrzejak Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Programming Languages; Code-to-code Translation; Knowledge Editing; code LLMs; Software Engineering
3748	PreferThinker: Reasoning-based Personalized Image Preference Assessment Authors: Shengqi Xu; Xinpeng Zhou; Yabo Zhang; Ming Liu; Tao Liang; Tianyu Zhang; Yalong Bai; Zuxuan Wu; Wangmeng Zuo Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Image Preference Assessment; Multimodal Large Language Model；Chain-of-Thought
3749	Priors in time: Missing inductive biases for language model interpretability Authors: Ekdeep Singh Lubana; Can Rager; Sai Sumedh R. Hindupur; Valérie Costa; Oam Patel; Sonia Krishna Murthy; Thomas Fel; Greta Tuckute; Daniel Wurgaft; Eric Bigelow; Demba E. Ba; Melan… Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Top-Down Interpretability; Sparse Autoencoders; Temporal Structure; Stationarity
3750	Provably Explaining Neural Additive Models Authors: Shahaf Bassan; Yizhak Yisrael Elboher; Tobias Ladner; Volkan Şahin; Jan Kretinsky; Matthias Althoff; Guy Katz Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: explainability; XAI; explainable AI; formal verification; sufficient explanations
3751	RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs Authors: Kohsei Matsutani; Shota Takashiro; Gouki Minegishi; Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: LLMs; Reasoning; RLVR; Interpretability
3752	Reading Images Like Texts: Sequential Image Understanding in Vision-Language Models Authors: Yueyan Li; Chenggong Zhao; Zeyuan Zang; Caixia Yuan; Xiaojie Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: multimodal language models; interpretability; spatial reasoning
3753	Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models Authors: Yuhui Wang; Changjiang Li; Guangke Chen; Jiacheng Liang; Ting Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Forgetting-Augmented Reinforcement Learning; Large Reasoning Model; Answer Attribution; Chain-of-Thought
3754	Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping Authors: Zhenyu Lei; Qiong Wu; JIANXIONG DONG; Yinhan He; Emily Dodwell; Yushun Dong; Jundong Li Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Model Editing; Circuit Reshaping
3755	Reinforcement Learning Fine-Tuning Enhances Activation Intensity and Diversity in the Internal Circuitry of LLMs Authors: Honglin Zhang; Qianyue Hao; Fengli Xu; Yong Li Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning Fine-Tuning; Edge Attribution Patching
3756	Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry Authors: Zhuochun Li; Yong Zhang; Ming Li; Yuelyu Ji; Yiming Zeng; Ning Cheng; Yun Zhu; Yanmeng Wang; Shaojun Wang; Jing Xiao; Daqing He Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Evaluation; Large Language Models Probing; Interpretability
3757	Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity Authors: Cristian Hinostroza; Rodrigo Toro Icarte; Christ Devia; Andres Carvallo De Ferari; Eugenio Herrera-Berg; Denis Parra; Jorge F Silva Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: LLMs; Layer Relevance; Mechanistic Interpretability; Structured Pruning
3758	Revisiting Confidence Calibration for Misclassification Detection in VLMs Authors: Jincheng Huang; Jie Xu; Xiaoshuang Shi; Ping Hu; Lei Feng; Xiaofeng Zhu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Vision-language models; Confidence calibration; Misclassification Detection
3759	SASFT: Sparse Autoencoder-guided Supervised Finetuning to Mitigate Unexpected Code-Switching in LLMs Authors: Boyi Deng; Yu Wan; Baosong Yang; Fei Huang; Wenjie Wang; Fuli Feng Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: LLMs; interpretability; multilingualism
3760	SUIT: Knowledge Editing with Subspace-Aware Key-Value Mappings Authors: Haewon Park; Sangwoo Kim; Yohan Jo Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Knowledge Editing; Large Language Model; Subspace
3761	Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models Authors: Zhaoyi Li; Jiatong Li; Gangwei Jiang; Linqi Song; Defu Lian; Ying Wei Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: large language models; chain-of-thought; reasoning hop generalization; mechanistic interpretability
3762	Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language Authors: Angie Boggust; Donghao Ren; Yannick Assogba; Dominik Moritz; Arvind Satyanarayan; Fred Hohman Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: automated interpretability; LLM features; structured languages
3763	Signal in the Noise: Polysemantic Interference Transfers and Predicts Cross-Model Influence Authors: Bofan Gong; Shiyang Lai; James Evans; Dawn Song Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Polysemanticity; Sparse Autoencoders; Interpretability; Behavior Intervention
3764	Small Transformers Don’t Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and Implications for Mechanistic Interpretability Authors: Luca Baroni; Galvin Khara; Joachim Schaeffer; Marat Subkhankulov; Stefan Heimersheim Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; language models
3765	Sparling: End-to-End Spatial Concept Learning via Extremely Sparse Activations Authors: Kavi Gupta; Osbert Bastani; Armando Solar-Lezama Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: machine learning; sparsity; interpretability; optimization; identifiability
3766	Sparse Autoencoders Trained on the Same Data Learn Different Features Authors: Gonçalo Paulo; Nora Belrose Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; reproducibility; sae; features
3767	Sparse CLIP: Co-Optimizing Interpretability and Performance in Contrastive Learning Authors: Chuan Qin; Constantin Venhoff; Sonia Joseph; Fanyi Xiao; Stefan Scherer Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: contrastive learning; multimodal learning; interpretability
3768	Structural Inference: Interpreting Small Language Models with Susceptibilities Authors: Garrett Baker; George Wang; Jesse Hoogland; Vinayak Pathak; Daniel Murfet Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Statistical Physics; Singular Learning Theory
3769	Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders Authors: Junqi Jiang; Francesco Leofante; Antonio Rago; Francesca Toni Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Counterfactual Explanations; Contrastive Explanations; Explainable AI; Trustworthy AI; Algorithmic Recourse
3770	TIMESLIVER : SYMBOLIC-LINEAR DECOMPOSITION FOR EXPLAINABLE TIME SERIES CLASSIFICATION Authors: Akash Pandey; Payal Mohapatra; Wei Chen; Qi Zhu; Sinan Keten Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Time-series; Interpretability; Temporal Attribution
3771	Tackling the XAI Disagreement Problem with Adaptive Feature Grouping Authors: Gabriel Laberge; Ola Ahmad Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainability; Disagreements; Functional Decomposition; Feature Groups
3772	Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insights Authors: Haolin Yang; Hakaze Cho; Kaize Ding; Naoya Inoue Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Large Language Model; Task Vector; In-context Learning
3773	Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions Authors: Ada Görgün; Fawaz Sammani; Nikos Deligiannis; Bernt Schiele; Jonas Fischer Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: temporal analysis; concept emergence; diffusion models; explainability
3774	Testing Most Influential Sets Authors: Lucas Darius Konrad; Nikolas Kuschnig Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: attribution; robustness auditing; causal inference; fairness; least squares; extreme value
3775	The Deleuzian Representation Hypothesis Authors: Clément Cornet; Romaric Besançon; Hervé Le Borgne Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Concept Extraction; Explainability
3776	The Geometry of Reasoning: Flowing Logics in Representation Space Authors: Yufa Zhou; Yixiao Wang; Xunjian Yin; Shuyan Zhou; Anru Zhang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Reasoning; Theory; Interpretability; Representation Learning; Geometry; Formal Logic; LLMs
3777	The Lattice Representation Hypothesis of Large Language Models Authors: Bo Xiong Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; formal concept analysis; language models; ontology
3778	The Price of Amortized inference in Sparse Autoencoders Authors: Wenjie Sun; Di Wang; Lijie Hu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Polysemanticity; Sparse Autoencoders; Amortization Inference
3779	The Value of Information in Human-AI Decision-making Authors: Ziyang Guo; Yifan Wu; Jason Hartline; Jessica Hullman Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explanation; Human-AI complementarity; Decision theory
3780	Thought Branches: Interpreting LLM Reasoning Requires Resampling Authors: Uzay Macar; Paul C. Bogdan; Senthooran Rajamanoharan; Neel Nanda Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic interpretability; interpretability; reasoning models; thinking models; chain-of-thought; on-policy; causal interventions; agentic misalignment; unf…
3781	TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions Authors: Hwijin Kim; Jaeho Kim; Changhee Lee Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainability AI; Interpretability; Time Series Explanations; Segment-wise Explanations; Conditional Mutual Information
3782	Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding Authors: Yifan Zhu; Huiqiang Rong; Haoran Luo Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: token_level; hallucination control; self checking
3783	Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition Authors: Zhengfu He; Junxuan Wang; Rui Lin; Xuyang Ge; Wentao Shu; Qiong Tang; Junping Zhang; Xipeng Qiu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Attention Superposition; Sparse Dictionary Learning; Circuit Analysis
3784	Tracing and Reversing Edits in LLMs Authors: Paul Youssef; Zhixue Zhao; Christin Seifert; Jörg Schlötterer Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Model Editing; Knowledge Editing; Countermeasures to Malicious Knowledge Editing
3785	Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning Authors: Martina G. Vilas; Safoora Yousefi; Besmira Nushi; Eric Horvitz; Vidhisha Balachandran Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Test Time Scaling; Reasoning; Interpretability; Representational Analysis
3786	Tracking Equivalent Mechanistic Interpretations Across Neural Networks Authors: Alan Sun; Mariya Toneva Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability
3787	Training-free Counterfactual Explanation for Temporal Graph Model Inference Authors: Mingjian Lu; Haolai Che; Yangxin Fan; Qu Liu; Fei Shao; Tingjian Ge; Xusheng Xiao; Yinghui Wu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Temporal Graph Nerual Networks; Explainability; Training Free
3788	TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees Authors: Weida Li; Yaoliang Yu; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Beta Shapley values; weighted Banzhaf values; feature ranking; decision trees; Linear TreeShap
3789	Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders Authors: Maty Bohacek; Thomas Fel; Maneesh Agrawala; Ekdeep Singh Lubana Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Generative Image Models; Failure Modes; Interpretability; Sparse Autoencoders
3790	Understanding Cross-layer Contributions to Mixture-of-Experts Routing in LLMs Authors: Wengang Li; Lingqi Zhang; Toshio Endo; Mohamed Wahib Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Model; Mixture-of-Experts; Routing Mechanism
3791	Understanding and Relaxing the Limitations of Transformers for Linear Algebra Authors: Andres Potapczynski; Alex Ali; Andrew Gordon Wilson Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Numerical Linear Algebra; Transformers; Out-of-distribution; Generalization
3792	Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors Authors: Mark Rofin; Jalal Naghiyev; Michael Hahn Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: next-token prediction; transformers; interpretability
3793	Unifying Formal Explanations: A Complexity-Theoretic Perspective Authors: Shahaf Bassan; Xuanxiang Huang; Guy Katz Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: explainability; interpretability; combinatorial optimization; submodular optimization; sufficient reasons; abductive explanations; formal XAI; contrastive expl…
3794	VeriTrail: Closed-Domain Hallucination Detection with Traceability Authors: Dasha Metropolitansky; Jonathan Larson Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: hallucination detection; faithfulness; fact-checking; traceability; provenance; error localization
3795	Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs Authors: Ziqian Zhong; Aditi Raghunathan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; alignment; adversarial defense
3796	What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation and question answering Authors: Jim Maar; Denis Paperno; Callum Stuart McDougall; Neel Nanda Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: implicit planning; LLM; rhyming; metrics
3797	When Shift Happens - Confounding Is to Blame Authors: Abbavaram Gowtham Reddy; Celia Rubio-Madrigal; Rebekka Burkholz; Krikamol Muandet Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainability; OOD Generalization; Confounding shifts
3798	When Thinking Backfires: Mechanistic Insights into Reason-induced Misalignment Authors: Hanqi Yan; Hainiu Xu; Siya Qi; Shu Yang; Yulan He Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: LLM; reasoning; interpretability
3799	Why Do Unlearnable Examples Work: A Novel Perspective of Mutual Information Authors: Yifan Zhu; Yibo Miao; Yinpeng Dong; Xiao-Shan Gao Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mutual information; unlearnable examples
3800	Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective Authors: Zhihao Zhang; Qiaole Dong; Qi Zhang; Enyu Zhou; Jun Zhao; Zhiheng Xi; Senjie Jin; Xiaoran Fan; Yuhao Zhou; Mingqi Wu; Yanwei Fu; Tao Ji; Tao Gui; Xuanjing Huang; Kai Chen Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Reinforcement Fine-Tuning; Catastrophic Forgetting; Data Distribution; Learning Dynamics
3801	f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness Authors: Subhodip Panda; Dhruv Tarsadiya; Shashwat Sourav; Prathosh AP; Sai Praneeth Karimireddy Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Influence Estimation; Data Attribution; Explainability; Robustness
3802	$\ell_1$ Latent Distance based Continuous-time Graph Representation Authors: Zhao-Rong Lai; Zheng-Sen Zhou; Liangda Fang; Yongsen Zheng; Ziliang Chen Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: $\ell_1$ distance; graph representation; sequential survival process; ultra-low-dimensional embedding
3803	: One LLM Token for Explicit Graph Structural Understanding Authors: Jingyao Wu; Bin Lu; Zijun Di; Xiaoying Gan; Meng Jin; Luoyi Fu; Xinbing Wang; Chenghu Zhou Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: LLM for Graph; Graph Structure Learning; Structure Hallucination
3804	A Graph Meta-Network for Learning on Kolmogorov–Arnold Networks Authors: Guy Bar-Shalom; Ami Tavory; Itay Evron; Maya Bechler-Speicher; Ido Guy; Haggai Maron Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Weight Space; Kolmogorov Arnold Networks; Graph Neural Networks; Symmetries; Equivariance
3805	A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction Authors: Jinkyu Sung; Myunggeum Jee; Joonseok Lee Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Signed Graph Representation Learning; Graph Neural Network; Gaussian Copula; Link Sign Prediction; Linear Convergence
3806	AdS-GNN - a Conformally Equivariant Graph Neural Network Authors: Maksim Zhdanov; Nabil Iqbal; Erik J Bekkers; Patrick Forré Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: equivariance; conformal group; scale equivariance; ising model
3807	AdaSpec: Adaptive Spectrum for Enhanced Node Distinguishability Authors: Fangbing Liu; Qing Wang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: spectral graph neural networks; symmetry on graph; permutation equivalence; node distinguishability
3808	Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks Authors: Ya-Wei Eileen Lin; Ron Levie Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Equivariant machine learning; Canonicalization; Universal approximation; Classification; Graph neural networks; Spectral methods; Point cloud networks; Anisotr…
3809	Adaptive Mixture of Disentangled Experts for Dynamic Graph Out-of-Distribution Generalization Authors: Haibo Chen; Xin Wang; Guanheng Chen; Yuan Meng; Haoyang Li; Yang Yao; Zeyang Zhang; Zhiqiang Zhang; JUN ZHOU; Ling Feng; Wenwu Zhu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Dynamic Graph Neural Network; Out-of-Distribution Generalization; Mixture of Experts
3810	Any-Subgroup Equivariant Networks via Symmetry Breaking Authors: Abhinav Goel; Derek Lim; Hannah Lawrence; Stefanie Jegelka; Ningyuan Huang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: equivariance; symmetry breaking; graph neural networks; symmetry
3811	Are we measuring oversmoothing in graph neural networks correctly? Authors: Kaicheng Zhang; Piero Deidda; Desmond Higham; Francesco Tudisco Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graph neural networks; oversmoothing; low-rank
3812	Atomic HINs: Entity-Attribute Duality for Heterogeneous Graph Modeling Authors: Shao-En Lin; Ming-Yi Hong; Miao-Chen Chiang; Chih-Yu Wang; Che Lin Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Heterogeneous Information Networks; Heterogeneous Graph Neural Networks; Graph Representation Learning
3813	Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion Authors: Nate Veldt; Thomas Stanley; Benjamin W Priest; Trevor Steil; Keita Iwabuchi; T.S. Jayram; Grace J Li; Geoffrey Sanders Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Minimum spanning tree; metric spaces; learning-augmented algorithms; algorithms with predictions; approximation algorithms; dynamic programming; k-center
3814	Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs Authors: Filip Rydin; Attila Lischka; Jiaming Wu; Morteza Haghir Chehreghani; Balazs Kulcsar Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Combinatorial Optimization; Reinforcement Learning; Graph-based Machine Learning; Multigraphs; Traveling Salesman Problem; Multi-Objective Optimization
3815	Bridging Input Feature Spaces Towards Graph Foundation Models Authors: Moshe Eliasof; Krishna Sri Ipsit Mantri; Beatrice Bevilacqua; Bruno Ribeiro; Carola-Bibiane Schönlieb Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Neural Networks; Graph Foundation Models
3816	Bridging ML and algorithms: comparison of hyperbolic embeddings Authors: Dorota Celińska-Kopczyńska; Eryk Kopczyński Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: hyperbolic embeddings; network theory; social networks
3817	CORDS - Continuous Representations of Discrete Structures Authors: Tin Hadži Veljković; Erik J Bekkers; Michael Tiemann; Jan-Willem van de Meent Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Continuous set representations; Neural fields; Variable-cardinality prediction; Invertible encoding/decoding; Diffusion and flow matching; Object detection; Mo…
3818	Canonical Tree Cover Neural Networks for Expressive and Invariant Graph Learning Authors: Michael Ito; Danai Koutra; Jenna Wiens Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graph neural networks; canonicalization; invariance; tree; molecule graph
3819	CheckMate! Watermarking Graph Diffusion Models in Polynomial Time Authors: Roberto Gheda; Abele Mălan; Robert Birke; Maksim Kitsak; Lydia Y. Chen Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graphs; Watermarking; Diffusion Models; Networks
3820	Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells Authors: Mattie Ji; Indradyumna Roy; Vikas K Garg Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph neural networks; topological neural networks; persistent homology
3821	Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs Authors: Yisen Gao; Jiaxin Bai; Tianshi Zheng; Ziwei Zhang; Qingyun Sun; Xingcheng Fu; Jianxin Li; Yangqiu Song Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Knowledge Graph; Abductive Reasoning
3822	Cooperative Sheaf Neural Networks Authors: André Ribeiro; Ana Luiza Tenorio; Juan Belieni; Amauri H Souza; Diego Mesquita Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: sheaves; message-passing; graphs; neural networks
3823	DR-GGAD: Dual Residual Centering for Mitigating Anomaly Non‑Discriminativity in Generalist Graph Anomaly Detection Authors: Changlong Fu; Zhenli He; Xiong Zhang; Cheng Xie; Xin Jin; Yun Yang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Mining; Social Network Analysis; Graph Anomaly Detection
3824	Differentiable Lifting for Topological Neural Networks Authors: Jorge Luiz Franco; Gabriel Duarte; Alexander V Nikitin; Moacir A Ponti; Diego Mesquita; Amauri H Souza Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Topological Deep Learning; Graph Neural Networks; graph classification
3825	Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding Authors: Manuel Lecha; Andrea Cavallo; Francesca Dominici; Ran Levi; Alessio Del Bue; Elvin Isufi; Pietro Morerio; Claudio Battiloro Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Topological Deep Learning; Graph Neural Networks
3826	Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs Authors: Emanuele Mule; Stefano Fiorini; Antonio Purificato; Federico Siciliano; Stefano Coniglio; Fabrizio Silvestri Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: hypergraph neural networks; hypergraph; sheaf; higher-order; directed graphs
3827	Diverse and Sparse Mixture-of-Experts for Causal Subgraph–Based Out-of-Distribution Graph Learning Authors: Jerry Sun; Mohamed Abubakr Hassan; Yaoyu Zhang; Wanying Zhang; Chi-Guhn Lee Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graph neural network; out-of-distribution learning; mixture-of-experts
3828	Dynamic Multi-sample Mixup with Gradient Exploration for Open-set Graph Anomaly Detection Authors: Caiyang Yu; Wei Ju; Haixin Wang; Yifan Wang; Ziyue Qiao Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graph neural network; graph anomaly detection; open set; mixup; energy gradient; pseudo labelling
3829	Efficient Learning on Large Graphs using a Densifying Regularity Lemma Authors: Jonathan Kouchly; Ben Finkelshtein; Michael M. Bronstein; Ron Levie Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: regularity lemma; graphon; graph condensation; directed graphs
3830	Enhancing LLMs for Knowledge Base Question Answering by Chain-of-Decomposition Authors: Yonggang Zhang; Jianqi Gao; Jie Lu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: LLMs; LoRA; KBQA
3831	EvA: Evolutionary Attacks on Graphs Authors: Mohammad Sadegh Akhondzadeh; Soroush H. Zargarbashi; Jimin Cao; Aleksandar Bojchevski Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Adversarial Attack; Evolutionary Algorithm; graph neural network
3832	FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing Authors: Ran Elbaz; Guy Bar-Shalom; Yam Eitan; Fabrizio Frasca; Haggai Maron Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Kolmogorov-Arnold Networks; Geometric Deep Learning; Group invariant neural network; Weight sharing; Parameter sharing; Symmetries
3833	FSD-CAP: Fractional Subgraph Diffusion with Class-Aware Propagation for Graph Feature Imputation Authors: Xin Qiao; Shijie Sun; Anqi Dong; Cong Hua; Xia Zhao; Longfei Zhang; Guangming Zhu; zhang liang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: incomplete graph learning; graph feature imputation; feature propagation
3834	Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry Authors: Ziheng Chen; Yue Song; Xiaojun Wu; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Cholesky Decomposition; Symmetric Positive Definite (SPD); SPD Manifold; Riemannian Metrics; SPD Neural Networks
3835	Flock: A Knowledge Graph Foundation Model via Learning on Random Walks Authors: Jinwoo Kim; Xingyue Huang; Krzysztof Olejniczak; Kyungbin Min; Michael M. Bronstein; Seunghoon Hong; Ismail Ilkan Ceylan Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: knowledge graphs; link prediction; knowledge graph foundation models; invariance; equivariance; random walks
3836	Forest-Based Graph Learning for Semi-Supervised Node Classification Authors: Jin Li; Shenghao Gao; Kaichen Zhang; Xinlong Chen; Ying Sun; Hui Xiong Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph neural networks; Graph learning; Node classifications
3837	Frequency-aware Dynamic Gaussian Splatting Authors: Qiaowei Miao; JinSheng Quan; Kehan Li; Yichao Xu; Yi Yang; Yawei Luo Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: 4D reconstruction; Gasussian Slpatting; Deformation network
3838	G-Merging: Graph Models Merging for Parameter-Efficient Multi-Task Knowledge Consolidation Authors: Jun Chen; Ziyue Qiao; Qin Zhang; Kaize Ding; Xiao Luo Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Model Merging; Parameter Efficient Fine-Tuning; Multi-task Learning
3839	GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback Authors: Ruiyao Xu; Kaize Ding Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Large Language Models; Graph Neural Networks; Graph Few-shot Learning; Semi-Supervised Learning
3840	Gelato: Graph Edit Distance via Autoregressive Neural Combinatorial Optimization Authors: Paolo Pellizzoni; Till Hendrik Schulz; Karsten Borgwardt Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graph edit distance; neural combinatorial optimization; graph matching; graph neural networks
3841	Generalized Spherical Neural Operators: Green’s Function Formulation Authors: Hao Tang; Hao Chen; Chao Li Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Fourier neural operator; Green function; Spherical harmonic
3842	Geometric Constraints for Small Language Models to Understand and Expand Scientific Taxonomies Authors: Liri Fang; Dongqi Fu; Jiawei Han; Jingrui He; Vetle I Torvik Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Small LM; Hyperbolic Deep Learning; Taxonomy Structure
3843	Glance for Context: Learning When to Leverage LLMs for Node-Aware GNN-LLM Fusion Authors: Donald Loveland; Yao-An Yang; Danai Koutra Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: GNN; Graph Learning; GNN-LLM; Homophily; Heterophily
3844	Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models Authors: Yunan Wang; Jianxin Li; Ziwei Zhang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Dynamic text-attributed graph; graph learning; large language model
3845	Graph Representational Learning: When Does More Expressivity Hurt Generalization? Authors: Sohir Maskey; Raffaele Paolino; Fabian Jogl; Gitta Kutyniok; Johannes F. Lutzeyer Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Neural Networks; Generalization; Expressivity; PAC-Bayes
3846	Graph Tokenization for Bridging Graphs and Transformers Authors: Zeyuan Guo; Enmao Diao; Cheng Yang; Chuan Shi Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph; BPE; Tokenizer
3847	Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning Authors: Ruizhong Qiu; Ting-Wei Li; Gaotang Li; Hanghang Tong Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Machine Learning; Graph Neural Network; Heterophily
3848	GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs Authors: Tao Feng; Haozhen Zhang; Zijie Lei; Peixuan Han; Jiaxuan You Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Multi-agent LLMs; Memory utilization; Heterogeneous agents; Graph
3849	Graphon Cross-Validation: Assessing Models on Network Data Authors: Huimin Cheng; Yongkai Chen; Ping Ma; Wenxuan Zhong Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graphon; Link prediction; Cross-Validation; Graph imputa- tion; Selection consistency
3850	HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs Authors: Xingyue Huang; Mikhail Galkin; Michael M. Bronstein; Ismail Ilkan Ceylan Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Knowledge Hypergraph; Link Prediction; Graph Neural Networks; Foundation Models
3851	HarmonyGNNs: Harmonizing Heterophily and Homophily in GNNs via Self-Supervised Node Encoding Authors: Rui Xue; Tianfu Wu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Neural Networks; Heterophily and Homophily; Self Supervise Learning
3852	Inductive Reasoning for Temporal Knowledge Graphs with Emerging Entities Authors: Ze Zhao; He Yuhui; Lyuwen Wu; Gu Tang; Bin Lu; Xiaoying Gan; Luoyi Fu; Xinbing Wang; Chenghu Zhou Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Temporal Knowledge Graph; Inductive Learning
3853	Intrinsic Lorentz Neural Network Authors: Xianglong Shi; Ziheng Chen; Yunhan Jiang; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: hyperbolic; lorentz model
3854	Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning Authors: Xingrui Zhuo; Jiapu Wang; Gongqing Wu; Zhongyuan Wang; Jichen Zhang; Shirui Pan; Xindong Wu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Inductive Knowledge Graph Reasoning; Large Language Model; Knowledge Graph Foundation Model
3855	LEAP: Local ECT-Based Learnable Positional Encodings for Graphs Authors: Juan P Garcia Amboage; Ernst Röell; Patrick Schnider; Bastian Rieck Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Topology; Euler Characteristic Transform; Graph Neural Networks; Topological Data Analysis; TDA; Topological Deep Learning
3856	LRIM: a Physics-Based Benchmark for Provably Evaluating Long-Range Capabilities in Graph Learning Authors: Joël Mathys; Henrik Christiansen; Federico Errica; Takashi Maruyama; Francesco Alesiani Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Learning; Long-Range; Benchmark
3857	Latent Geometry-Driven Network Automata for Complex Network Dismantling Authors: Thomas Adler; Marco Grassia; Ziheng Liao; Giuseppe Mangioni; Carlo Vittorio Cannistraci Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: network robustness; network dismantling; network geometry; network science; complex systems; network automata; graphs; network topology
3858	Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors Authors: Jeongwhan Choi; Jongwoo Kim; Woosung Kang; Noseong Park Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graph machine learning; node classification
3859	Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation Authors: Wei Chen; Xingyu Guo; Shuang Li; Yan Zhong; Zhao Zhang; Fuzhen Zhuang; Hongrui Liu; Libang Zhang; Guo Ye; HUIMEI HE Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Domain Adaptation; Stochastic Differential Equations
3860	Learning from Historical Activations in Graph Neural Networks Authors: Yaniv Galron; Hadar Sinai; Haggai Maron; Moshe Eliasof Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Deep Learning; Graph Neural Networks; Graph Pooling
3861	Low-Rank Few-Shot Node Classification by Node-Level Graph Diffusion Authors: Yancheng Wang; Chengshuai Zhao; Dongfang Sun; huan liu; Yingzhen Yang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Few-Shot Node Classification; Low-Rank Few-Shot Graph Diffusion Model; Low-Rank Learning
3862	Low-pass Personalized Subgraph Federated Recommendation Authors: Wooseok Sim; Hogun Park Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Federated Learning; Recommender Systems; Graph Neural Networks
3863	MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation Authors: Zhe Feng; Shilong Tao; Haonan Sun; Shaohan Chen; Zhanxing Zhu; Yunhuai Liu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Deep Learning; Explicit modeling; Geometric Deep Learning; Simulation of Solid Deformation
3864	MCbiF: Measuring Topological Autocorrelation in Multiscale Clusterings via 2-Parameter Persistent Homology Authors: Juni Schindler; Mauricio Barahona Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: topological data analysis; multiparameter persistent homology; multiscale clustering; non-hierarchical clustering; Sankey diagrams
3865	Mixed-Curvature Tree-Sliced Wasserstein Distance Authors: Duy-Tung Pham; Viet-Hoang Tran; Thieu Vo; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: mixed curvature space; sliced optimal transport
3866	Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Authors: Wu Wei; Xiaomeng Fan; Yuwei Wu; Zhi Gao; Pengxiang Li; Yunde Jia; Mehrtash Harandi Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: hyperbolic geometry; modality alignment; multimodal learning
3867	NExCO: Native Solution Expansion for Diffusion-based Combinatorial Optimization Authors: Yu Wang; Yang Li; Jiale Ma; Junchi Yan; Yi Chang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: mask diffusion model; neural combinatorial optimization
3868	Neural Graduated Assignment for Maximum Common Edge Subgraphs Authors: Chaolong Ying; Yingqi Ruan; Xuemin Chen; Yaomin Wang; Tianshu Yu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: maximum common edge subgraphs; quadratic assignment programming; graph similarity; graduated assignment
3869	Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction Authors: Shilong Tao; Zhe Feng; Shaohan Chen; Weichen Zhang; Zhanxing Zhu; Yunhuai Liu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Deep learning; Neural Operator
3870	Neural Message-Passing on Attention Graphs for Hallucination Detection Authors: Fabrizio Frasca; Guy Bar-Shalom; Yftah Ziser; Haggai Maron Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: hallucination detection; graph neural networks; LLMs; attention graphs
3871	Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds Authors: Sujoy Bhore; Liana Khazaliya; Fionn Mc Inerney Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Machine teaching; non-clashing teaching; VC-dimension; graphs; parameterized complexity; treedepth; vertex cover number
3872	On The Expressive Power of GNN Derivatives Authors: Yam Eitan; Moshe Eliasof; Yoav Gelberg; Fabrizio Frasca; Guy Bar-Shalom; Haggai Maron Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Neural Networks; GNNs; Expressivity; Message Passing; Geometric deep learning; Differential geometry; Symmetry
3873	On Universality of Deep Equivariant Networks Authors: Marco Pacini; Mircea Petrache; Bruno Lepri; Shubhendu Trivedi; Robin Walters Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Geometric Deep Learning; Theory for Equivariant Neural Networks; Expressiveness; Approximation Theory
3874	On the Expressive Power of GNNs for Boolean Satisfiability Authors: Saku Peltonen; Roger Wattenhofer Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: SAT; GNN; Weisfeiler-Leman; expressivity
3875	On the Universality and Complexity of GNN for Solving Second-order Cone Programs Authors: Ruizhe Li; Enming Liang; Minghua Chen Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graph neural network; second order cone programming; learning to optimize; Weisfeiler-Lehman test; sample complexity
3876	On the trade-off between expressivity and privacy in graph representation learning Authors: Patrick Indri; Tamara Drucks; Thomas Gärtner Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graph representation learning; privacy; expressivity
3877	Oversmoothing, "Oversquashing'', Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning Authors: Adrian Arnaiz-Rodriguez; Federico Errica Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: oversmoothing; oversquashing; heterophily; long-range propagation; graph neural networks; graph machine learning
3878	OwlEye: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection Authors: Lecheng Zheng; Dongqi Fu; Zihao Li; Jingrui He Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: anomaly detection; zero-shot; Multi-domain
3879	PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling Authors: Kai Yang; Yuqi Huang; Junheng Tao; Wanyu Wang; Qitian Wu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: 3D Dynamics Prediction; Attention Mechanism; Object Trajectory
3880	Proper Velocity Neural Networks Authors: Ziheng Chen; Zihan Su; Bernhard Schölkopf; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Hyperbolic geometry; Geometric deep learning; Manifold learning; Proper velocity; Representation learning; Riemannian geometry
3881	Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees Authors: Zhuoping Zhou; Davoud Ataee Tarzanagh; Sima Didari; Wenjun Hu; Baruch Gutow; Oxana Verkholyak; Masoud Faraki; Heng Hao; Hankyu Moon; Seungjai Min Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph-Based RAG; Training-Free Retrieval; Multi-Hop Reasoning; Query-Aware Graph Traversal; Subgraph Recovery Guarantees
3882	RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization Authors: Alonso Urbano; David W. Romero; Max Zimmer; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: symmetry discovery; canonicalization; equivariance
3883	Reducing Symmetry Increase in Equivariant Neural Networks Authors: Ning Lin; Jiacheng Cen; Anyi Li; Wenbing Huang; Hao Sun Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Equivariant Neural Networks; Symmetry Increase; Compact Group; Isotropy Subgroup; Orbit Type; Curie’s Principle
3884	Relational Graph Transformer Authors: Vijay Prakash Dwivedi; Sri Jaladi; Yangyi Shen; Federico Lopez; Charilaos I. Kanatsoulis; Rishi Puri; Matthias Fey; Jure Leskovec Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graph; graph transformer; relational deep learning
3885	Relatron: Automating Relational Machine Learning over Relational Databases Authors: Zhikai Chen; Han Xie; Jian Zhang; Jiliang Tang; Xiang song; Huzefa Rangwala Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: AutoML; Relational database; Relational deep learning; Graph machine learning; Tabular machine learning
3886	Rethinking the Gold Standard: Why Discrete Curvature Fails to Fully Capture Over-squashing in GNNs? Authors: Jialong Chen; Bowen Deng; Zibin Zheng; Chuan Chen Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Discrete Curvature; Over-squashing; GNNs
3887	Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem Authors: Viet-Hoang Tran; Thanh Tran; Thanh Chu; Trung-Khang Tran; Duy-Tung Pham; Tam Le; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: sliced optimal transport; tree-sliced wasserstein distance; tree wasserstein distance; fermat-weber problem
3888	Revisting Node Affinity Prediction In Temporal Graphs Authors: Or Feldman; Krishna Sri Ipsit Mantri; Moshe Eliasof; Chaim Baskin Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Node affinity; Temporal graph networks; dynamic graphs; graph neural netowrks
3889	Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses Authors: Runlin Lei; Lu Yi; Mingguo He; Pengyu Qiu; Zhewei Wei; Yongchao Liu; Chuntao Hong Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Robustness; Graph Adversarial Attack; Text Attributed Graph; Large Language Model
3890	Self-Consistency Improves the Trustworthiness of Self-Interpretable GNNs Authors: Wenxin Tai; Ting Zhong; Goce Trajcevski; Fan Zhou Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Self-interpretble GNNs; Trustworthy; Consistency; Faithfulness
3891	Sheaves Reloaded: A Direction Awakening Authors: Stefano Fiorini; Hakan Aktas; Iulia Duta; Pietro Morerio; Alessio Del Bue; Pietro Lio; Stefano Coniglio Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: directed sheaf neural network; directed graphs; directed cellular sheaves
3892	SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data Authors: Andrea Zerio; Maya Bechler-Speicher; Maor Huri; Marie Vibeke Vestergaard; Tine Jess; Ran Gilad-Bachrach; Samir Bhatt; Aleksejs Sazonovs Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Deep Learning; Graph Neural Networks; Interpretability
3893	TGM: A Modular and Efficient Library for Machine Learning on Temporal Graphs Authors: Jacob Chmura; Shenyang Huang; Tran Gia Bao Ngo; Ali Parviz; Farimah Poursafaei; Jure Leskovec; Michael M. Bronstein; Guillaume Rabusseau; Matthias Fey; Reihaneh Rabbany Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Temporal Graph Learning; Dynamic Graphs; Deep Learning; Programming Framework; Software Libraries
3894	Temporal Geometry of Deep Networks: Hyperbolic Representations of Training Dynamics for Intrinsic Explainability Authors: Ambarish Moharil Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Meta Networks; Temporal Hyperbolic Embeddings; Neural Weights as Data
3895	Temporal Graph Thumbnail: Robust Representation Learning with Global Evolutionary Skeleton Authors: Weining Shi; Zhisen Wen; Qinggang Zhang; Chentao Zhang; Zhihong Zhang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Dynamic Graph Neural Network; Global Evolution; Von Neumann Entropy; Robust Representation Learning
3896	The Logical Expressiveness of Topological Neural Networks Authors: Amirreza Akbari; Amauri H Souza; Vikas K Garg Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: topological neural networks; message-passing networks; expressive power; first-order logic
3897	The Natural Geometry of Code: Hyperbolic Representation Learning for Program Reasoning Authors: Weilin Zhou Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Geometric Deep Learning; Hyperbolic Representation Learning; Source Code; Program Reasoning; Graph Neural Networks; Abstract Syntax Tree (AST)
3898	TopoFormer: Topology Meets Attention for Graph Learning Authors: Md Joshem Uddin; Astrit Tola; Cuneyt Gurcan Akcora; Baris Coskunuzer Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Topological Data Analysis; Transformers; Graph Representation Learning; Graph Classification; Molecular Property Prediction
3899	Topological Anomaly Quantification for Semi-supervised Graph Anomaly Detection Authors: Ting Guo; Yangrui Fan; Caixia Cui; Jiye Liang; Jiao Zhao; Da Wang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph neural network; graph anomaly detection; semi-supervised graph anomaly detection
3900	Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection Authors: Yunhui Liu; Jiashun Cheng; Yiqing Lin; Qizhuo Xie; Jia Li; Fugee Tsung; Hongzhi Yin; Tao Zheng; Jianhua Zhao; Tieke He Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Anomaly Detection; Graph Pre-Training; Self-Supervised Learning
3901	Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement Authors: Huidong Liang; Haitz Sáez de Ocáriz Borde; Baskaran Sripathmanathan; Michael M. Bronstein; Xiaowen Dong Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Neural Networks; Long-range dependency
3902	Towards Understanding the Shape of Representations in Protein Language Models Authors: Kosio Beshkov; Anders Malthe-Sorenssen Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Protein Language Models; Shape Analysis; Transformers
3903	Tree-sliced Sobolev IPM Authors: Viet-Hoang Tran; Thanh Tran; Thanh Chu; Duy-Tung Pham; Trung-Khang Tran; Tam Le; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: sliced optimal transport; sobolev ipm; tree-sliced wasserstein distance; tree wasserstein distance
3904	Two (narrow) heads are better than (an arbitrarily wide) one Authors: Amanuel Tesfaye; Zeno Kujawa; Rajmohan Rajaraman; Ravi Sundaram Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Impossibility Result; Transformers; Attention mechanism; Graphs; Theory; Induction heads; In-context learning
3905	Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods Authors: Zhaiming Shen; Alexander Hsu; Rongjie Lai; Wenjing Liao Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: In-Context Learning; Transformer Approximation Theory; Kernel Regression on Manifold
3906	Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives Authors: AmirHossein Zamani; Bruno Roy; Arianna Rampini Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Unsupervised representation learning; Mesh parameterization; Semantic-aware UV mapping; Visibility-aware UV mapping
3907	UrbanGS: Efficient and Scalable Architecture for Geometrically Accurate Large-Scene Reconstruction Authors: Changbai Li; Haodong Zhu; Hanlin Chen; Xiuping Liang; Tongfei Chen; Shuwei Shao; Linlin Yang; Huobin Tan; Baochang Zhang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: 3DGS; 3D surface reconstruction
3908	WATS: Wavelet-Aware Temperature Scaling for Reliable Graph Neural Networks Authors: Xiaoyang Li; Linwei Tao; Haohui Lu; Minjing Dong; Junbin Gao; Chang Xu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Neural Network; Calibration
3909	gLSTM: Mitigating Over-Squashing by Increasing Storage Capacity Authors: Hugh Blayney; Alvaro Arroyo; Xiaowen Dong; Michael M. Bronstein Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: oversquashing; associative memory; graph neural network
3910	A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting Authors: Aoyu Liu; Yaying Zhang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: general backbone; contextual pattern bank; continual spatio-temporal forecasting
3911	A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems Authors: Thibaut Germain; Rémi Flamary; Vladimir R Kostic; Karim Lounici Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: dynamical system; optimal transport; transfer operator; koopman operator
3912	ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting Authors: Jindong Tian; Yifei Ding; Ronghui Xu; Hao Miao; Chenjuan Guo; Bin Yang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Deep Learning; Spatiotemporal Analysis; Weather Forecasting
3913	ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting Authors: Xvyuan Liu; Xiangfei Qiu; Hanyin Cheng; Xingjian Wu; Chenjuan Guo; Bin Yang; Jilin Hu Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Irregular Multivariate Time Series; Time Series Forecasting; Dynamic Graph Neural Networks; Spatio-Temporal Modeling; Data-Driven Interaction
3914	Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring. Authors: Natalia Martinez; Fearghal O'Donncha; Wesley M. Gifford; Nianjun Zhou; Dhaval C Patel; Roman Vaculin Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series anomaly detection; conformal prediction; anomaly detection; monitoring sequential signals
3915	Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models Authors: Kailash Gopal Darmasubramanian; Akash Pareek; Arindam Khan; Arpit Agarwal Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Mathematical User Modelling; Psychological Model; Ad Optimization; Scheduling; Digital Advertising; Behavioral Modeling; Satiation Effect
3916	Aurora: Towards Universal Generative Multimodal Time Series Forecasting Authors: Xingjian Wu; Jianxin Jin; Wanghui Qiu; Peng Chen; Yang Shu; Bin Yang; Chenjuan Guo Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series Forecasting; Multimodality
3917	AutoDA-Timeseries: Automated Data Augmentation for Time Series Authors: Zijun Dou; Zhenhe Yao; Zhe Xie; Xidao Wen; Tong Xiao; Dan Pei Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series analysis; automated data augmentation
3918	Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting Authors: Yifan Hu; Jie Yang; Tian Zhou; Peiyuan Liu; Yujin Tang; Rong Jin; Liang Sun Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series Forecasting; Representation Learning; Alignment
3919	COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting Authors: Jeonghwan Im; Hyuk-Yoon Kwon Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Test-Time Adaptation; Time-Series Forecasting; Non-stationarity; Context-aware Adapter
3920	CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting Authors: Jiyuan Xu; Wenyu Zhang; Xin Jing; Jiahao Nie; Shuai Chen; Shuai Zhang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Multivariate Time Series Forecasting; Channel Permutation Invariance; Spatio-temporal Decoupling; Meta-Learning; Foundation Models
3921	Can we generate portable representations for clinical time series data using LLMs? Authors: Zongliang Ji; Yifei Sun; Andre Carlos Kajdacsy-Balla Amaral; Anna Goldenberg; Rahul G Krishnan Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Machine Learning for Healthcare; ICU Time-series; LLMs; Representation Learning
3922	Change Point Localization and Inference in Dynamic Multilayer Networks Authors: Fan Wang; Kyle Ritscher; Yik Lun Kei; Xin Ma; OSCAR HERNAN MADRID PADILLA Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Dynamic networks; Multilayer networks; Change point inference; Tensor-based methods
3923	Characteristic Root Analysis and Regularization for Linear Time Series Forecasting Authors: Zheng Wang; Kaixuan Zhang; Wanfang Chen; Xiaonan Lu; Longyuan Li; Tobias Schlagenhauf Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: long term time series forecasting; linear model; characteristic roots; modes; noise robustness; rank reduction; root purge
3924	CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter Authors: Hanyin Cheng; Xingjian Wu; Yang Shu; Zhongwen Rao; Lujia Pan; Bin Yang; Chenjuan Guo Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Multivariate Time Series Forecasting; Time Series Foundation Models; Correlation
3925	Complexity- and Statistics-Guided Anomaly Detection in Time Series Foundation Models Authors: Jongwon Kim; Samuel Yoon; Young Myoung Ko; Yerin Kim; Sung Il Kim; JAEUNG TAE Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Timeseries anomaly detection; Timeseries foundation model; Reconstruction based anomaly detection
3926	Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning Authors: Yuanzhao Zhang; William Gilpin Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series; foundation models; dynamical systems; forecasting; chaos; physics; scientific machine learning
3927	Contextual and Seasonal LSTMs for Time Series Anomaly Detection Authors: Lingpei Zhang; Qingming Li; Yong Yang; Jiahao Chen; Rui Zeng; Chenyang Lyu; Shouling Ji Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series anomaly detection
3928	ConvT3: Structured State Kernels for Convolutional State Space Models Authors: Jaeyoung Hong; Yun Young Choi; Joohwan Ko; Minseon Gwak Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Spatiotemporal modeling; Video modeling; Physical system modeling; Tridiagonal Toeplitz tensor; Long-range sequence modeling
3929	DeNOTS: Stable Deep Neural ODEs for Time Series Authors: Ilya Kuleshov; Evgenia Romanenkova; Vladislav Andreevich Zhuzhel; Galina Boeva; Evgeni Vorsin; Alexey Zaytsev Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Neural ODE; Time series; Gaussian Processes
3930	Detecting Invariant Manifolds in ReLU-Based RNNs Authors: Lukas Eisenmann; Alena Brändle; Zahra Monfared; Daniel Durstewitz Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Dynamical Systems; Recurrent Neural Networks; Attractors; Nonlinear Dynamics; Analysis
3931	DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment Authors: Hao Wang; Licheng Pan; Yuan Lu; Zhixuan Chu; Xiaoxi Li; Shuting He; Zi Ciu Chan; Qingsong Wen; Haoxuan Li; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time-series forecasting
3932	EVEREST: A Transformer for Probabilistic Rare-Event Anomaly Detection with Evidential and Tail-Aware Uncertainty Authors: Antanas Žilinskas; Robert Noel Shorten; Jakub Marecek Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Transformer models; Uncertainty quantification; Evidential deep learning; Extreme value theory; Imbalanced classification
3933	Enabling arbitrary inference in spatio-temporal dynamic systems: A physics-inspired perspective Authors: Yan Ge; Zhengyang Zhou; Qihe Huang; Yuxuan Liang; Yang Wang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Neural operators; Spatio-temporal systems; Graph neural networks; Data mining
3934	Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval Authors: Fanpu Cao; Lu Dai; Jindong Han; Hui Xiong Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time-series forecasting; model plugins
3935	Enhancing Sparse Event Detection in Healthcare Time-Series via Adaptive Gate of Context–Detail Interaction Authors: Beomjun Bark; Yun Kwan Kim Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Event detection; Time series analysis; Healthcare
3936	Extreme Weather Nowcasting via Local Precipitation Pattern Prediction Authors: Chang hoon Song; Teng Yuan Chang; Youngjoon Hong Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Spatiotemporal Forecasting; Extreme Heavy Rain; Video Transformer
3937	FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting Authors: Huiqiang Wang; Jieming Shi; Li Qing Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Multivariate time series forecasting; Fine-grained dynamic variable interactions; Multi-dilated depth-wise convolution.
3938	FeDaL: Federated Dataset Learning for General Time Series Foundation Models Authors: Shengchao Chen; Guodong Long; Michael Blumenstein; Jing Jiang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series Analysis; Time Series Foundation Models; Federated Learning
3939	GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables Authors: Zhengyu Li; Xiangfei Qiu; Yuhan Zhu; Xingjian Wu; Jilin Hu; Chenjuan Guo; Bin Yang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series forecasting
3940	GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data Authors: Cheng HE; Xu Huang; Gangwei Jiang; Zhaoyi Li; Defu Lian; Hong Xie; Enhong Chen; xijie liang; Zhengzengrong; Patrick Lee Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time series; Foundation Model; Representation learning; Pre-training strategy
3941	ICDiffAD: Implicit Conditioning Diffusion Model for Time Series Anomaly Detection Authors: Fan Zhang; Sinchee Chin; Jing-Hao Xue; Wenming Yang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series; Anomaly Detection; Diffusion Model; Implicit Conditioning
3942	Identifiability Challenges in Sparse Linear Ordinary Differential Equations Authors: Cecilia Casolo; Sören Becker; Niki Kilbertus Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: dynamical systems; identifiability; sparsity
3943	Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative Authors: Zihao Li; Xiao Lin; Zhining Liu; Jiaru Zou; Ziwei Wu; Lecheng Zheng; Dongqi Fu; Yada Zhu; Hendrik Hamann; Hanghang Tong; Jingrui He Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series Modeling; Multimodal Learning; Time Series Forecasting
3944	Latent-to-Data Cascaded Diffusion Models for Unconditional Time Series Generation Authors: Lifeng Shen; Kai Syun Hou; Weiyu Chen; James Kwok Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series; unconditional; synthetic
3945	Learning Koopman Representations with Controllability Guarantees Authors: Keyan Miao; Han Wang; Xuda Ding; Konstantinos Gatsis; Andreas Krause; Antonis Papachristodoulou Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Dynamical System; Koopman Operator; Control; Controllability; Nonlinear System
3946	Learning Mixtures of Linear Dynamical Systems via Hybrid Tensor-EM Method Authors: Lulu Gong; Shreya Saxena Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Mixture of linear dynamical systems; Tensor-based moment method; Expectation-Maximization; Latent dynamical systems; Neural data analysis
3947	Learning Physics-Grounded 4D Dynamics with Neural Gaussian Force Fields Authors: Shiqian Li; Ruihong Shen; Junfeng Ni; Chang Pan; Chi Zhang; Yixin Zhu Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Physical reasoning; video prediction
3948	Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting Authors: Boyuan Li; Zhen Liu; Yicheng Luo; Qianli Ma Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Irregular Multivariate Time Series; Time Series Forecasting; Multi-Scale Learning
3949	Learning linear state-space models with sparse system matrices Authors: Yasen Wang; Kaiqi Fang; Guijun Ma; Junlin Li; Mengyu Sun; Zhilan Huang; Gang Lu Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: linear state-space models; expectation-maximization algorithm; system identification; state estimation
3950	Local Geometry Attention for Time Series Forecasting under Realistic Corruptions Authors: Dongbin Kim; Youngjoo Park; Woojin Jeong; Jaewook Lee Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Local Geometry; Local Gaussian Process; Transformer Architecture; Time Series Analysis; Corruption Benchmark
3951	Long-range Modeling and Processing of Multimodal Event Sequences Authors: Jichu Li; Yilun Zhong; Zhiting Li; Feng Zhou; Quyu Kong Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Temporal Point Process; Multimodal LLM
3952	Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? Authors: Xu Zhang; Peng Wang; Wei Wang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time series analysis; large models; fine-tuning
3953	Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization Authors: Charalampos Shimillas; Kleanthis Malialis; Konstantinos Fokianos; Marios Polycarpou Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Anomaly detection; Anomaly localization; Multivariate time series; Space-time autoregression; Transformer
3954	MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss Authors: Yunhao Zhang; Wenyao Hu; Jiale Zheng; Lujia Pan; Junchi Yan Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series forecasting; loss function
3955	MambaSL: Exploring Single-Layer Mamba for Time Series Classification Authors: Yoo-Min Jung; Leekyung Kim Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series classification; single-layer Mamba; modular selective SSM; multi-head adaptive pooling; skip connection
3956	Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow Prediction Authors: Bairan Xiang; Chenguang Zhao; Huan Yu Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Koopman Operator; Traffic Flow Prediction
3957	MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with $0.1K$ Parameters Authors: Aitian Ma; Dongsheng Luo; Mo Sha Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Long-term Time Series Forecasting; Segmentation; Adaptive Low-Rank Spectral Filtering
3958	Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis Authors: Zongjiang Shang; Dongliang Cui; Binqing Wu; Ling Chen Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time series forecasting; large language models; multi-scale modeling; hypergraph neural network; hypergraph learning; transformer
3959	Noise Tolerance of Distributionally Robust Learning Authors: Ramzi Dakhmouche; Ivan Lunati; Hossein Gorji Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Distributional Robustness; Wasserstein Distance; Deep Learning; Operator Learning
3960	Numerion: A Multi-Hypercomplex Model for Time Series Forecasting Authors: Hanzhong Cao; WenBo Yan; Ying Tan Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series Forecasting; Hypercomplex Numbers; Hypercomplex Time Series Models; Multi-Hypercomplex Space
3961	Online Decision Making with Generative Action Sets Authors: Jianyu Xu; Vidhi Jain; Bryan Wilder; Aarti Singh Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: online decision making; create-to-use
3962	Online time series prediction using feature adjustment Authors: Xiannan Huang; Shuhan Qiu; Jiayuan Du; Chao Yang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series; neural network; online adaption
3963	PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting Authors: Jiaming Ma; Qihe Huang; Haofeng Ma; Guanjun Wang; Sheng Huang; Zhengyang Zhou; Pengkun Wang; Xu Wang; Binwu Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time series forecasting; time series data; deep learning
3964	PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting Authors: Ao Hu; Liangjian Wen; Jiang Duan; Yong Dai; YAN HE; Dongkai Wang; Jun Wang; Yukun Zhang; Ruoxi Jiang; Zenglin Xu Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Long-term Time Series Forecasting; Non-stationary; Patch-Mean Decoupling
3965	PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection Authors: Jinju Park; Seokho Kang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time-Series Anomaly Detection; Representation Learning
3966	Perturbed Dynamic Time Warping: A Probabilistic Framework and Generalized Variants Authors: Xiangqian Sun; Chaoqun Wang; Wei Zhang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: dynamic time warping; perturbation; dynamic programming
3967	PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting Authors: Yiming Niu; Jinliang Deng; Yongxin Tong Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series forecasting; nonstationary; efficiency
3968	Point-wise Anomaly Detection via Fold-bifurcation ODE Authors: Sheo yon Jhin; Noseong Park Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time-series; anomly detection
3969	ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting Authors: Ziheng Peng; Shijie Ren; Xinyue Gu; Linxiao Yang; Xiting Wang; Liang Sun Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time series forecasting; Interpretability
3970	Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models Authors: Hao Wang; Licheng Pan; Yuan Lu; Zi Ciu Chan; Tianqiao Liu; Shuting He; Zhixuan Chu; Qingsong Wen; Haoxuan Li; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time-series; time-series forecast
3971	Random Controlled Differential Equations Authors: Francesco Piatti; Thomas Cass; William F. Turner Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: random features; time-series; path signatures; CDEs; RDEs; reservoir computing; kernels
3972	Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment Authors: Shunyu Wu; Dan Li; Wenjie Feng; Haozheng Ye; Jian Lou; See-Kiong Ng Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Data quality assessment; Data selection; Time series data; Large language models
3973	Reasoning on Time-Series for Financial Technical Analysis Authors: Kelvin J.L. Koa; Jan Chen; Yunshan Ma; Zheng Huanhuan; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time-Series; Large Language Models; Stock Prediction
3974	Reinforced Latent Reasoning for LLM-based Recommendation Authors: Yang Zhang; Wenxin Xu; Xiaoyan Zhao; Wenjie Wang; Fuli Feng; Xiangnan He; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Latent reasoning; Recommendation
3975	Repurposing Foundation Model for Generalizable Medical Time Series Classification Authors: Nan Huang; Haishuai Wang; Zihuai He; Marinka Zitnik; Xiang Zhang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Medical Time Seris; Classification; Time Series Foundation Model
3976	ResCP: Reservoir Conformal Prediction for Time Series Forecasting Authors: Roberto Neglia; Andrea Cini; Michael M. Bronstein; Filippo Maria Bianchi Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Conformal prediction; Time series; Uncertainty quantification
3977	Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition Authors: Dongyuan Li; Shun Zheng; Chang Xu; Jiang Bian; Renhe Jiang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series Forecasting; Channel Dependency; Graph Learning
3978	SCRAPL: Scattering Transform with Random Paths for Machine Learning Authors: Christopher Mitcheltree; Vincent Lostanlen; Emmanouil Benetos; Mathieu Lagrange Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: scattering transform; wavelets; stochastic optimization; ddsp; perceptual quality assessment
3979	SONATA: Synergistic Coreset Informed Adaptive Temporal Tensor Factorization Authors: Maolin Wang; Zhiqi Li; Binhao Wang; Xuhui Chen; Tianshuo Wei; Wanyu Wang; Shikai Fang; Ruocheng Guo; Zenglin Xu; Xiangyu Zhao Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Dynamic tensor streams; Temporal dynamics; Coreset selection; Linear Dynamical Systems; Adaptive modeling
3980	SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Authors: Jufang Duan; Shenglong Xiao; Yuren Zhang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series Super-Resolution; Rectified Flow; Temporal Disentanglement; Implicit Neural Representations
3981	ST-HHOL: Spatio-Temporal Hierarchical Hypergraph Online Learning for Crime Prediction Authors: Keqing Du; Yufan Kang; Xinyu Yang; Wei Shao Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Crime prediction; Spatio-temporal graph neural networks; Spatio-temporal data mining
3982	STABLE: Shift-Tolerant Allocation via Black-Litterman Using Conditional Diffusion Estimates Authors: YEJUN SOUN; Hosung Lee; Suyoung Park; U Kang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: portfolio allocation; time-series estimation; generative modeling
3983	STORM: Synergistic Cross-Scale Spatio-Temporal Modeling for Weather Forecasting Authors: Qihe Huang; Zhengyang Zhou; Yangze Li; Jiaming Ma; Kuo Yang; Binwu Wang; Xu Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: spatial-temporal forecasting
3984	Semantic-Enhanced Time-Series Forecasting via Large Language Models Authors: Hao Liu; Zhang xiaoxing; Chun Yang; Xiaobin Zhu Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Large Language Models; Time Series Forecasting; Semantic Ehanced; Time-Adapter
3985	Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution Authors: Hongjun Liu; Leyu Zhou; Zijianghao Yang; Chao Yao Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: EEG spatial super-resolution; Conditional Diffusion Model; Multi-channel Time Series Generation
3986	Subspace Kernel Learning on Tensor Sequences Authors: Lei Wang; Xi Ding; Yongsheng Gao; Piotr Koniusz Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Kernel; tensor; subspace learning; action recognition
3987	SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning Authors: Tengxue Zhang; Biao Ouyang; Yang Shu; Xinyang Chen; Chenjuan Guo; Bin Yang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series forecasting; model selection; transfer learning
3988	T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation Authors: Dongik Park; Hyunwoo Ryu; Suahn Bae; Keondo Park; Hyung-Sin Kim Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series; Imputation
3989	TEN-DM: Topology-Enhanced Diffusion Model for Spatio-Temporal Event Prediction Authors: Yuxin Liu; Kaiming Wang; Chenguang Yang; Yulia Gel; Yuzhou Chen Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Spatio-temporal point process; Diffusion model; Topological data analysis
3990	TSPulse: Tiny Pre-Trained Models with Disentangled Representations for Rapid Time-Series Analysis Authors: Vijay Ekambaram; Subodh Kumar; Arindam Jati; Sumanta Mukherjee; Tomoya Sakai; Pankaj Dayama; Wesley M. Gifford; Jayant Kalagnanam Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series foundation models; pretrained models; time series; foundation models; TSFM
3991	Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift Authors: Zhiyuan Zhao; Haoxin Liu; B. Aditya Prakash Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time-Series Forecasting; Distribution Shift; Concept Drift
3992	Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting Authors: Mert Kayaalp; Ali Caner Turkmen; Oleksandr Shchur; Pedro Mercado; Abdul Fatir Ansari; Michael Bohlke-Schneider; Bernie Wang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: pretrained time series models; time series forecasting; foundation model combination
3993	The Curious Case of In-Training Compression of State Space Models Authors: Makram Chahine; Philipp Nazari; Daniela Rus; T. Konstantin Rusch Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: State Space Models; Sequence modeling; Model compression; Dynamical Systems
3994	The Forecast After the Forecast: A Post-Processing Shift in Time Series Authors: Daojun Liang; Qi Li; Yinglong Wang; Jing Chen; Hu Zhang; Xiaoxiao Cui; Qizheng Wang; Shuo Li Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series Forecasting; Post-Processing; Fine-Tuning
3995	Time-Gated Multi-Scale Flow Matching for Time-Series Imputation Authors: Hangtian Wang; Mahito Sugiyama Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time-series imputation; Flow matching; ODE-based generative models; Transformers; Multi-scale modeling
3996	TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models Authors: Tong Guan; Zijie Meng; Dianqi Li; Shiyu Wang; Chao-Han Huck Yang; Qingsong Wen; Zuozhu Liu; Sabato Marco Siniscalchi; Ming Jin; Shirui Pan Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time series reasoning; multimodal time series; time series models; time series
3997	TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness Authors: Zhiyuan Zhao; Juntong Ni; Shangqing Xu; Haoxin Liu; Wei Jin; B. Aditya Prakash Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time-Series Forecasting; Module Effectiveness; Benchmark
3998	Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning Authors: Siyang Li; Yize Chen; Yan Guo; Ming Huang; Hui Xiong Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: PDE Dynamics Forecasting; OOD Generalization; Invariant Learning
3999	Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction Authors: Shiyan Hu; Jianxin Jin; Yang Shu; Peng Chen; Bin Yang; Chenjuan Guo Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: multimodal time series; anomaly detection
4000	Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness Authors: Jinkwan Jang; Hyungjin Park; Jinmyeong Choi; Taesup Kim Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series Forecasting; Channel Dependence; Asynchronous Sampling; Missing Blocks
4001	UNDERSTANDING TRANSFORMERS FOR TIME SERIES FORECASTING: A CASE STUDY ON MOIRAI Authors: Dennis Wu; Yihan He; Yuan Cao; Jianqing Fan; Han Liu Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series forecasting
4002	Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility Authors: Annan Yu; Danielle C. Maddix; Boran Han; Xiyuan Zhang; Abdul Fatir Ansari; Oleksandr Shchur; Christos Faloutsos; Andrew Gordon Wilson; Michael W. Mahoney; Bernie Wang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series; foundation models; rank structure; attention; embedding
4003	Understanding the Implicit Biases of Design Choices for Time Series Foundation Models Authors: Annan Yu; Danielle C. Maddix; Boran Han; Xiyuan Zhang; Abdul Fatir Ansari; Oleksandr Shchur; Christos Faloutsos; Andrew Gordon Wilson; Michael W. Mahoney; Bernie Wang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series; foundation models; inductive bias; frequency; uncertainty; geometry
4004	UniCA: Unified Covariate Adaptation for Time Series Foundation Model Authors: Lu Han; Yu Liu; Lan Li; Qiwen Deng; Jian Jiang; Yinbo sun; Zhe Yu; Binfeng Wang; Xingyu Lu; Lintao Ma; Han-Jia Ye; De-Chuan Zhan Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series foundation model; adaptation; covariate-aware forecasting; heterogeneous covariates
4005	Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting Authors: Siyuan Wang; Peng Chen; Yihang Wang; Wanghui Qiu; Chenjuan Guo; Bin Yang; Yang Shu Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: time series forecasting; multimodal
4006	Weight-Space Linear Recurrent Neural Networks Authors: Roussel Desmond Nzoyem; Nawid Keshtmand; Enrique Crespo-Fernandez; Idriss TSAYEM; Raul Santos-Rodriguez; David A.W. Barton; Tom Deakin Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: physics-informed machine learning; weight-space learning; meta-learning; deep sequence modeling; linear recurrence; test-time training
4007	When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency Authors: Ren Fujiwara; Yasuko Matsubara; Yasushi Sakurai Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Concept drift; Stream learning; Data sufficiency; Time series
4008	Zero-shot Forecasting by Simulation Alone Authors: Boris N. Oreshkin; Mayank Jauhari; Ravi Kiran Selvam; Malcolm Wolff; Wenhao Pan; Shankar Ramasubramanian; Kin G. Olivares; Tatiana Konstantinova; Andres Potapczynski; Mengfei Cao;… Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: forecasting; foundation models; simulation; zero-shot
4009	A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond Authors: Nikos Tsikouras; Yorgos Pantis; Ioannis Mitliagkas; Christos Tzamos Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Neural Networks; Optimization; Structure Discovery; Compressibility; Derandomization; Multiple Index Model; Johnson Lindenstrauss; MAXCUT
4010	A Faster Parameter-Free Regret Matching Algorithm Authors: Linjian Meng; Youzhi Zhang; Shangdong Yang; Wenbin Li; Tianyu Ding; Yang Gao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Regret Matching; Parameter-Free; Nash Equilibrium
4011	A Law of Data Reconstruction for Random Features (And Beyond) Authors: Leonardo Iurada; Simone Bombari; Tatiana Tommasi; Marco Mondelli Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: random features; data reconstruction; memorization; deep learning theory; privacy; high-dimensional statistics
4012	A Near-Optimal Best-of-Both-Worlds Algorithm for Federated Bandits Authors: Zicheng Hu; Zihao Wang; Cheng Chen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Federated Bandits; Mutli-armed Bandits; Best-of-both-worlds
4013	A New Approach to Controlling Linear Dynamical Systems Authors: Anand Paresh Brahmbhatt; Gon Buzaglo; Sofiia Druchyna; Elad Hazan Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Online Convex Optimization; Online Control; Linear Dynamical Systems
4014	A New Initialization to Control Gradients in Sinusoidal Neural Networks Authors: Andrea Combette; Nelly Pustelnik; Antoine Venaille Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Initialization Strategy; Deep Neural Networks; Sinusoidal Activations; Gradient Control; Implicit Neural Representations; Neural Tangent Kernel
4015	A Recovery Guarantee for Sparse Neural Networks Authors: Sara Fridovich-Keil; Mert Pilanci Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: compressed sensing; neural networks; model pruning; sparse weight recovery
4016	A Sharp KL Convergence Analysis for Diffusion Models under Minimal Assumptions Authors: Nishant Jain; Tong Zhang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: diffusion models; probability flow ODEs; score based generative models; convergence analysis
4017	A Statistical Theory of Overfitting for Imbalanced Classification Authors: Jingyang Lyu; Kangjie Zhou; Yiqiao Zhong Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Imbalanced classification; overfitting; margin; logistic regression; support vector machine; overparametrization; calibration
4018	A Theoretical Analysis of Mamba’s Training Dynamics: Filtering Relevant Features for Generalization in State Space Models Authors: Mugunthan Shandirasegaran; Hongkang Li; Songyang Zhang; Meng Wang; Shuai Zhang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Training Dynamics; Feature Learning; Generalization; Mamba; Learning Theory; Selective State Space Models
4019	A Unifying View of Coverage in Linear Off-policy Evaluation Authors: Philip Amortila; Audrey Huang; Akshay Krishnamurthy; Nan Jiang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: off-policy evaluation; reinforcement learning; coverage
4020	Achieving Approximate Symmetry Is Exponentially Easier than Exact Symmetry Authors: Behrooz Tahmasebi; Melanie Weber Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: symmetry; invariance; relaxed equivariance; complexity; theory
4021	Action Chunking and Data Augmentation Yield Exponential Improvements in Behavior Cloning for Continuous Spaces Authors: Thomas TCK Zhang; Daniel Pfrommer; Chaoyi Pan; Nikolai Matni; Max Simchowitz Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Imitation learning; compounding errors; distribution shift; control theory; dynamical systems; robotics; action chunking; noise injection
4022	Active Learning for Decision Trees with Provable Guarantees Authors: Arshia Soltani Moakhar; Tanapoom Laoaron; Faraz Ghahremani; Kiarash Banihashem; MohammadTaghi Hajiaghayi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Label complexity; Theory of Active Learning; Theory of Decision Tree; Disagreement coefficient
4023	Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners Authors: Soichiro Kumano; Hiroshi Kera; Toshihiko Yamasaki Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Adversarial Robustness; Transformer; In-Context Learning
4024	Almost Bayesian: Dynamics of SGD Through Singular Learning Theory Authors: Max Hennick; Stijn De Baerdemacker Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: singular learning theory; SGD; gradient noise; gradient descent; Fokker-Planck; training dynamics; Bayes; Bayesian
4025	An Improved Model-free Decision-estimation Coefficient with Applications in Adversarial MDPs Authors: Haolin Liu; Chen-Yu Wei; Julian Zimmert Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: decision making; reinforcement learning; online learning
4026	An efficient, provably optimal algorithm for the 0-1 loss linear classification problem Authors: Xi He; Max A Little Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Classification; Global optimal algorithm; Hyperplane arrangement; Interpretable machine learning
4027	Automata Learning and Identification of the Support of Language Models Authors: Satwik Bhattamishra; Michael Hahn; Varun Kanade Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: automata learning; regular languages; learning theory; DFA extraction; language models
4028	Bandit Learning in Matching Markets Robust to Adversarial Corruptions Authors: Zheshun Wu; Jinhang Zuo; Zenglin Xu; Fang Kong Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Bandits; Matching markets; Robust algorithms; Adversarial corruptions
4029	Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity Authors: Amir Joudaki; Giulia Lanzillotta; Mohammad Samragh; Seyed Iman Mirzadeh; Keivan Alizadeh; Thomas Hofmann; Mehrdad Farajtabar; Fartash Faghri Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: loss of plasticity; deep learning theory; continual learning
4030	Benefits and Limitations of Communication in Multi-Agent Reasoning Authors: Michael Rizvi-Martel; Satwik Bhattamishra; Neil Rathi; Guillaume Rabusseau; Michael Hahn Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: chain-of-thought prompting; multi-agent systems; reasoning; expressivity; inter-agent communication; scalability; large language models; algorithmic analysis
4031	Best-of-Majority: Minimax-Optimal Strategy for Pass@k Inference Scaling Authors: Qiwei Di; Kaixuan Ji; Xuheng Li; Heyang Zhao; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Inference-time scaling; Pass@k
4032	Better Bounds for the Distributed Experts Problem Authors: David Woodruff; Samson Zhou Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: distributed algorithms; learning with experts; communication complexity; reinforcement learning
4033	Beyond Spectra: Eigenvector Overlaps in Loss Geometry Authors: Gabriel Mel Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: hessian; overlap; eigenvector; geometry; ridge regression; noise; free probability; algorithms; CIFAR; high dimensional statistics; generalization; covariate s…
4034	Block-Sample MAC-Bayes Generalization Bounds Authors: Matthias Frey; Jingge Zhu; Michael Gastpar Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: PAC-Bayes bound; MAC-Bayes bound; KL divergence; block-sample MAC-Bayes bound
4035	Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers Authors: Peter Shaw; James Cohan; Jacob Eisenstein; Kristina Toutanova Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: kolmogorov complexity; minimum description length principle; compression; variational inference; quantization
4036	Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ bias Authors: Shuofeng Zhang; Ard A. Louis Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Norm; scaling law; deep linear nerual network; linear regression
4037	Computational Bottlenecks for Denoising Diffusions Authors: Viet Vu; Andrea Montanari Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: denoising diffusions; computational bottlenecks; information-computation gap; spiked Wigner model; score matching
4038	Computing Equilibrium beyond Unilateral Deviation Authors: Mingyang Liu; Gabriele Farina; Asuman E. Ozdaglar Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Strong Equilibrium; Complexity; No-regret Learning
4039	Contextual Multi-Armed Bandits with Minimum Aggregated Revenue Constraints Authors: Ahmed Ben Yahmed; Hafedh El Ferchichi; Marc Abeille; Vianney Perchet Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Multi-Armed Bandit with Constraints; Exploration-Exploitation; Regret; Constraint Violation
4040	Dataset Distillation for Memorized Data: Soft Labels can Leak Held-Out Teacher Knowledge Authors: Freya Behrens; Lenka Zdeborová Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: distillation; memorization; generalization; learning theory; model transfer; privacy
4041	Deep-ICE: The first globally optimal algorithm for empirical risk minimization of two-layer maxout and ReLU networks Authors: Xi He; Yi Miao; Max A Little Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Neural network; Global optimal; Algorithm design; Combinatorial optimization
4042	Deterministic Bounds and Random Estimates of Metric Tensors on Neuromanifolds Authors: Ke Sun Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Fisher information; information geometry; stochastic trace estimation; deep learning theory; deep classifiers
4043	Differentially Private Equilibrium Finding in Polymatrix Games Authors: Mingyang Liu; Gabriele Farina; Asuman E. Ozdaglar Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Polymatrix Game; Differential Privacy
4044	Differentially Private Two-Stage Gradient Descent for Instrumental Variable Regression Authors: Haodong Liang; Yanhao Jin; Krishna Balasubramanian; Lifeng Lai Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: differential privacy; endogeneity; bi-level gradient descent; instrumental variables
4045	Diffusion Language Models are Provably Optimal Parallel Samplers Authors: Haozhe Jiang; Nika Haghtalab; Lijie Chen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Theory; Diffusion Language Model; Large Language Model
4046	Dimension-Free Decision Calibration for Nonlinear Loss Functions Authors: Jingwu Tang; Jiayun Wu; Steven Wu; Jiahao Zhang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Calibration; Uncertainty Quantification; Decision Making
4047	Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks Authors: Ichiro Hashimoto Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Benign overfitting; Implicit bias; neural networks; classification
4048	Distributed Algorithms for Euclidean Clustering Authors: Vincent Cohen-Addad; Liudeng Wang; David Woodruff; Samson Zhou Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: clustering; distributed algorithms; communication complexity
4049	Diversified Multinomial Logit Contextual Bandits Authors: Heesang Ann; Taehyun Hwang; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: multinomial logistic choice model; contextual bandits; diversity; regret analysis
4050	Does Weak-to-strong Generalization Happen under Spurious Correlations? Authors: Chenruo Liu; Yijun Dong; Qi Lei Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Weak-to-Strong Generalization; Spurious Correlation
4051	Does the Data Processing Inequality Reflect Practice? On the Utility of Low-Level Tasks Authors: Roy Turgeman; Tom Tirer Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Classification; denoising; dimensionality reduction; Bayes optimal classifier
4052	Dynamical properties of dense associative memory Authors: Kazushi Mimura; Junichi Takeuchi; Yuto Sumikawa; Yoshiyuki Kabashima; Anthony CC Coolen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Hopfield networks; dense associative memory; dynamics; convergence time; attraction basin; generating functional analysis
4053	Efficient Adversarial Attacks on High-dimensional Offline Bandits Authors: Seyed Mohammad Hadi Hosseini; Amir Najafi; Mahdieh Soleymani Baghshah Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Offline Bandits; Adversarial Attacks
4054	Efficient Testing for Correlation Clustering: Improved Algorithms and Optimal Bounds Authors: Chengyuan Deng; Jie Gao; Songhua He; Chen Wang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Correlation Clustering; Structural Balance; Property Testing
4055	Efficient Turing Machine Simulation with Transformers Authors: Qian Li; Yuyi Wang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Transformers expressiveness; Turing completeness; sparse attention; nearly optimal simulation; reasoning efficiency
4056	Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought Authors: Hanlin Zhu; Shibo Hao; Zhiting Hu; Jiantao Jiao; Stuart Russell; Yuandong Tian Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: chain of continuous thought; training dynamics; reasoning; superposition
4057	Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence Authors: Bingji Yi; Qiyuan Liu; Yuwei Cheng; Haifeng Xu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Model Collapse; Synthetic Data; Verifier-guided retraining
4058	Expressive Power of Implicit Models: Rich Equilibria and Test-Time Scaling Authors: Jialin Liu; Lisang Ding; Stanley Osher; Wotao Yin Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Implicit models; Deep equilibrium models; Expressive power
4059	FACT: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations Authors: Enric Boix-Adserà; Neil Rohit Mallinar; James B Simon; Mikhail Belkin Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: feature learning; deep learning; neural feature ansatz; convergence; theory
4060	Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws Authors: Jinbo Wang; Binghui Li; Zhanpeng Zhou; Mingze Wang; Yuxuan Sun; Jiaqi Zhang; Xunliang Cai; Lei Wu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Batch Size Scheduling; Training Dynamics
4061	Feature compression is the root cause of adversarial fragility in neural networks Authors: Jingchao Gao; Ziqing Lu; Raghu Mudumbai; Xiaodong Wu; Jirong Yi; Myung Cho; Catherine Xu; Hui Xie; Weiyu Xu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Adversarial learning; Deep neural network; Robust learning
4062	Feedback-driven recurrent quantum neural network universality Authors: Lukas Gonon; Rodrigo Martínez-Peña; Juan-Pablo Ortega Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: quantum machine learning; quantum neural networks; recurrent neural networks; expressivity; universal approximation; state-space systems; quantum reservoir com…
4063	Finite-Time Analysis of Actor-Critic Methods with Deep Neural Network Approximation Authors: Xuyang Chen; Fengzhuo Zhang; Keyu Yan; Lin Zhao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: finite-time analysis; actor-critic; deep neural network
4064	Frozen Policy Iteration: Computationally Efficient RL under Linear $Q^{\pi}$ Realizability for Deterministic Dynamics Authors: Yijing Ke; Zihan Zhang; Ruosong Wang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Theory of Reinforcement Learning; Policy Iteration; Linear Function Approximation
4065	GenCtrl – A Formal Controllability Toolkit for Generative Models Authors: Emily Cheng; Carmen Amo Alonso; Federico Danieli; Arno Blaas; Luca Zappella; Pau Rodriguez; Xavier Suau Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: controllability; PAC; sample complexity; generative; reachability; calibration
4066	Generalization Below the Edge of Stability: The Role of Data Geometry Authors: Tongtong Liang; Alex Cloninger; Rahul Parhi; Yu-Xiang Wang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: neural networks; deep learning theory; gradient descent; representation learning; generalization
4067	Gradient Descent Dynamics of Rank-One Matrix Denoising Authors: Zeyan Zhuang; Shenghui Song Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Random Matrix Theory; High-Dimensional Statistics; Matrix Denoising; Gradient Flow
4068	Group Representational Position Encoding Authors: Yifan Zhang; Zixiang Chen; Yifeng Liu; Zhen Qin; Huizhuo Yuan; Kangping Xu; Yang Yuan; Quanquan Gu; Andrew C Yao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: position encoding; group theory
4069	High Probability Bounds for Non-Convex Stochastic Optimization with Momentum Authors: Shaojie Li; Pengwei Tang; Bowei Zhu; Yong Liu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Momentum; nonconvex learning; generalization
4070	High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification Authors: Nicholas Barnfield; Hugo Cui; Yue M. Lu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Theory; exact asymptotics; high dimension; high-dimensional statistics; attention
4071	High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes Authors: Aukosh Jagannath; Taj Jones-McCormick; Varnan Sarangian Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: stochastic gradient descent; momentum; adaptive step-sizes; scaling limits; high dimensional probability; spiked tensor PCA; single index model
4072	How reinforcement learning after next-token prediction facilitates learning Authors: Nikolaos Tsilivis; Eran Malach; Karen Ullrich; Julia Kempe Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: large language models; reinforcement learning; length increase; theory
4073	Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis Authors: Tyler Farghly; Patrick Rebeschini; George Deligiannidis; Arnaud Doucet Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: diffusion models; generalization; stability; algorithm dependent; learning theory
4074	Implicit Regularization of SGD Reduces Shortcut Learning Authors: Nahal Mirzaie; Alireza Alipanah; Ali Abbasi; Amirmahdi Farzane; Hossein Jafarinia; Erfan Sobhaei; Mahdi Ghaznavi; Amir Najafi; Mahdieh Soleymani Baghshah; Mohammad Hossein Rohban Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Spurious Correlations; Stochastic Gradient Descent (SGD); Implicit Regularization
4075	Improved high-dimensional estimation with Langevin dynamics and stochastic weight averaging Authors: Stanley Wei; Alex Damian; Jason D. Lee Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Learning theory; high-dimensional statistics; non-convex optimization
4076	Incentives in Federated Learning with Heterogeneous Agents Authors: Ariel D. Procaccia; Han Shao; Itai Shapira Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: federated learning; incentives; mechanism design; PAC learning; sample complexity; approximation algorithms; strategyproofness; price of stability
4077	InfoScan: Information-Efficient Visual Scanning via Resource-Adaptive Walks Authors: Yifeng Wu; Huimin Huang; Shangjie Zhou; Yawen Huang; Hao Zheng; Yun Chen; Xian Wu; Ruize Han; Guanhua Chen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Vision Model; Scan Strategy; Markov Decision Processes; Information Scoring
4078	Inheriting Generalizable Knowledge from LLMs to Diverse Vertical Tasks Authors: Chang Liu; boyu shi; Xu Yang; Qiufeng Wang; Xin Geng Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: NLP; DL
4079	Instance-Dependent Fixed-Budget Pure Exploration in Reinforcement Learning Authors: Yeongjong Kim; Yeoneung Kim; Kwang-Sung Jun Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Reinforcement Learning; MDP; pure exploration; fixed budget
4080	Interactive Learning of Single-Index Models via Stochastic Gradient Descent Authors: Nived Rajaraman; Yanjun Han Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: single-index model; stochastic gradient descent; nonlinear bandit
4081	Intrinsic training dynamics of deep neural networks Authors: Sibylle Marcotte; Gabriel Peyré; Rémi Gribonval Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: gradient flow; path-lifting; intrinsic lower dimensional dynamic; conservation laws; implicit bias
4082	Language Identification in the Limit with Computational Trace Authors: Binghui Peng; Amin Saberi; Grigoris Velegkas Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: language identification; complexity theory
4083	Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression Authors: Tingkai Yan; Haodong Wen; Binghui Li; Kairong Luo; Wenguang Chen; Kaifeng Lyu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Deep learning theory; Multi-epoch training; Data-reuse; Optimization; Scaling law; Large language model
4084	Learning Shrinks the Hard Tail: Training‑Dependent Inference Scaling in a Solvable Linear Model Authors: Noam Itzhak Levi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Scaling Laws; Inference scaling; test time compute; linear models; fine tuning
4085	Learning a Game by Paying the Agents Authors: Brian Hu Zhang; Tao Lin; Yiling Chen; Tuomas Sandholm Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: No-Regret Learning; Inverse Game Theory; Revealed Preference; Steering
4086	Learning in Prophet Inequalities with Noisy Observations Authors: Jung-hun Kim; Vianney Perchet Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Optimal Stopping; Prophet Inequalities; Decision-Making
4087	Learning on a Razor’s Edge: Identifiability and Singularity of Polynomial Neural Networks Authors: Vahid Shahverdi; Giovanni Luca Marchetti; Kathlén Kohn Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: identifiability; singularities; critical points; neuromanifolds; polynomial activation; algebraic geometry
4088	Learning the Inverse Temperature of Ising Models under Hard Constraints using One Sample Authors: Rohan Chauhan; Ioannis Panageas Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Ising Model; Truncated Statistics; Pseudo-Likelihood Estimation; Parameter Estimation
4089	Learning to Answer from Correct Demonstrations Authors: Nirmit Joshi; Gene Li; Siddharth Bhandari; Shiva Kasiviswanathan; Cong Ma; Nathan Srebro Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Imitation Learning; Contextual Bandits; Likelihood Maximization
4090	Learning to Play Multi-Follower Bayesian Stackelberg Games Authors: Gerson Personnat; Tao Lin; Safwan Hossain; David C. Parkes Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Online Learning; Stackelberg Games; Algorithmic Game Theory
4091	Learning to Recall with Transformers Beyond Orthogonal Embeddings Authors: Nuri Mert Vural; Alberto Bietti; Mahdi Soltanolkotabi; Denny Wu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: transformers; associative memories; factual recall; storage capacity; training dynamics
4092	Learning under Quantization for High-Dimensional Linear Regression Authors: Dechen Zhang; Junwei Su; Difan Zou Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: quantization; generalization; linear regression
4093	Learning-Augmented Moment Estimation on Time-Decay Models Authors: Soham Deepak Nagawanshi; Shalini Panthangi; Chen Wang; David Woodruff; Samson Zhou Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: learning-augmented algorithms; time decay; sliding window model; moment estimation
4094	Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms Authors: Alkis Kalavasis; Anay Mehrotra; Manolis Zampetakis; Felix Zhou; Ziyu Zhu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: high dimensional statistics; algorithmic statistics; computational learning theory; coarse observations; mean estimation; linear regression; friction
4095	Memorizing Long-tail Data Can Help Generalization Through Composition Authors: Mo Zhou; Haoyang Ma; Rong Ge Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: memorization; composition; long-tail data
4096	Memory-Statistics Tradeoff in Continual Learning with Structural Regularization Authors: Haoran Li; Jingfeng Wu; Vladimir Braverman Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: continual learning; deep learning theory
4097	Metric $k$-clustering using only Weak Comparison Oracles Authors: Rahul Raychaudhury; Aryan Esmailpour; sainyam galhotra; Stavros Sintos Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: clustering; $k$-center; $k$-median; $k$-means; comparison oracles; learned rankers; learning-augmented algorithms
4098	Minimax Rates for Learning Pairwise Interactions in Attention-Style Models Authors: Shai Zucker; Xiong Wang; Fei Lu; Inbar Seroussi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Attention mechanism; Interacting particle systems; Minimax rates; Nonparametric estimation
4099	Minimax Sample Complexity of Graph Neural Networks: Lower Bounds and Structural Effects Authors: Ahmad Ghasemi; Hossein Pishro-Nik Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Graph Neural Networks (GNNs); sample complexity; lower bounds
4100	Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains Authors: Yunrui Guan; Krishna Balasubramanian; Shiqian Ma Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Flow Matching; Constrained Generative Modeling; Wasserstein Convergence Rates
4101	Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity Authors: Noa Rubin; Orit Davidovich; Zohar Ringel Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Deep learning theory; feature learning; sample complexity; scaling laws
4102	Near Optimal Robust Federated Learning Against Data Poisoning Attack Authors: Jingfan Yu; Zhixuan Fang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: federated learning; data poisoning attack
4103	Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPs Authors: Yukuan Wei; Xudong Li; Lin F. Yang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Constrained Average-Reward Markov Decision Process; Minimax-Optimal Bounds; Sample Complexity
4104	Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information Authors: Maria Florina Balcan; Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Keegan Harris; Steven Wu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: stackelberg games; bandit learning; side information
4105	Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit Authors: Bohan Zhang; Zihao Wang; Hengyu Fu; Jason D. Lee Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Feature Learning; Multi-Index Models; Two-Layer Network; Gradient Descent; Sample Complexity
4106	Neyman-Pearson Classification under Both Null and Alternative Distributions Shift Authors: Mohammadreza Mousavi Kalan; Yuyang Deng; Eitan J. Neugut; Samory Kpotufe Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Imbalanced classification; Transfer Learning; Neyman-Pearson Classification.
4107	No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks Authors: Yehonathan Refael; Guy Smorodinsky; Ofir Lindenbaum; Itay Safran Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Deep learning theory; Implicit bias; Training reconstruction attack; Data privacy; Data protection; Deep learning security
4108	Nonparametric Contextual Online Bilateral Trade Authors: Emanuele Coccia; Martino Bernasconi; Andrea Celli Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: bilateral trade; online learning; contextual bandits
4109	On the Bayes Inconsistency of Disagreement Discrepancy Surrogates Authors: Neil G Marchant; Andrew Craig Cullen; Feng Liu; Sarah Monazam Erfani Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Bayes consistency; distribution shift; disagreeent discrepancy; surrogate losses; adversarial robustness
4110	On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime Authors: Shuai Jiang; Eric C Cyr; Ben S. Southworth; Alexey Voronin Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: spectral bias; preconditioned gradient descent; grokking; optimization dynamics; neural tangent kernel; higher-order methods
4111	On the Convergence of Two-Layer Kolmogorov-Arnold Networks with First-Layer Training Authors: Seyed Mohammad Eshtehardian; Mohammad Hossein Yassaee; Babak Khalaj Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Kolmogorov-Arnold Networks (KANs); Overparameterization; Neural Tangent Kernel (NTK); Gradient Descent
4112	On the Interpolation Effect of Score Smoothing in Diffusion Models Authors: Zhengdao Chen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: diffusion model; empirical score function; norm-bounded neural network; barron norm; function smoothing; subspace recovery
4113	Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization Authors: Junyoung Yang; Kyungmin Kim; Sangdon Park Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Online Conformal Prediction; Adversarial Bandit; Semi-bandit Feedback; Regret
4114	Online Inventory Optimization in Non-Stationary Environment Authors: Koji Ichikawa; Kei Takemura; Tatsuya Matsuoka Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Inventory Optimization; Online Learning; Online Convex Optimization; Dynamic Regret
4115	Online Prediction of Stochastic Sequences with High Probability Regret Bounds Authors: Matthias Frey; Jonathan H. Manton; Jingge Zhu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: online prediction; learning theory; high-probability bound; regret; stochastic sequences
4116	Online Rounding and Learning Augmented Algorithms for Facility Location Authors: Silvio Lattanzi; Debmalya Panigrahi; Ola Svensson Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Learning Augmented Algorithms; Clustering; Facility Location
4117	Oracle-efficient Hybrid Learning with Constrained Adversaries Authors: Princewill Okoroafor; Robert Kleinberg; Michael P. Kim Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: hybrid online learning; oracle-efficiency; ERM; rademacher complexity
4118	Personalized Collaborative Learning with Affinity-Based Variance Reduction Authors: Chenyu Zhang; Navid Azizan Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: personalized collaborative learning; multi-agent systems; federated learning; heterogeneity; personalization; stochastic approximation; variance reduction
4119	Physics-informed learning under mixing: How physical knowledge speeds up learning Authors: Anna Scampicchio; Leonardo Felipe Toso; Rahel Rickenbach; James Anderson; Melanie Zeilinger Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: learning with dependent data; physics-informed machine learning; convergence rates; complexity-dependent bounds
4120	Poly-attention: a general scheme for higher-order self-attention Authors: Sayak Chakrabarti; Toniann Pitassi; Josh Alman Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: computational complexity; polynomial method; fine-grained complexity; communication complexity; tensor generalizations
4121	Polynomial Convergence of Riemannian Diffusion Models Authors: Xingyu Xu; Ziyi Zhang; Yorie Nakahira; Guannan Qu; Yuejie Chi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: diffusion model; Riemannian manifold; gradient estimate
4122	Predicting Kernel Regression Learning Curves from Only Raw Data Statistics Authors: Dhruva Karkada; Joseph Turnbull; Yuxi Liu; James B Simon Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: kernels; kernel regression; neural tangent kernel; eigenstructure; learning curves; natural data; MLPs
4123	Pretrain–Test Task Alignment Governs Generalization in In-Context Learning Authors: Mary Letey; Jacob A Zavatone-Veth; Yue M. Lu; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: In-Context Learning; Task Alignment; Spectral Bias; Pretraining; Linear Attention
4124	Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression Authors: Anvit Garg; Sohom Bhattacharya; Pragya Sur Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Model Collapse; High Dimensional Regression; Overparametrization
4125	Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data Authors: Youssef Chaabouni; David Gamarnik Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: High-dimensional Statistics; Machine learning theory; sparse regression; Lasso; heterogeneous noise; LLM annotations
4126	Quantum machine learning advantages beyond hardness of evaluation Authors: Riccardo Molteni; Simon Callum Marshall; Vedran Dunjko Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Quantum machine learning; Quantum-classical learning separations; Learning theory
4127	Quasi-Equivariant Metanetworks Authors: Viet-Hoang Tran; An Nguyen The; Benoît Guérand; Thieu Vo; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: metanetwork; functional equivalence
4128	ROC-n-reroll: How verifier imperfection affects test-time scaling Authors: Florian E. Dorner; Yatong Chen; André F Cruz; Fanny Yang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: test-time scaling; inference-time scaling; best of n; theory; data quality
4129	Random Spiking Neural Networks are Stable and Spectrally Simple Authors: Ernesto Araya; Massimiliano Datres; Gitta Kutyniok Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Spiking Neural Networks; Stability; Simplicity Bias; Random Networks
4130	Reshaping Reasoning in LLMs: A Theoretical Analysis of RL Training Dynamics through Pattern Selection Authors: Xingwu Chen; Tianle Li; Difan Zou Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Reinforcement Learning; Language Models; Reasoning Patterns; Training Dynamics
4131	Residual Feature Integration is Sufficient to Prevent Negative Transfer Authors: Yichen Xu; Ryumei Nakada; Linjun Zhang; Lexin Li Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: deep transfer learning theory; negative transfer; provable safe transfer mechanism
4132	Revenue Maximization Under Sequential Price Competition Via The Estimation Of $s$-Concave Demand Functions Authors: Daniele Bracale; Moulinath Banerjee; Yuekai Sun; Cong Shi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Dynamic pricing; Nash Equilibrium; Nonlinear Demand Learning; Regret Analysis; Sequential Competition; Shape Constraints
4133	Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training Authors: Youssef Mroueh; Nicolas Dupuis; Brian Belgodere; Apoorva Nitsure; Mattia Rigotti; Kristjan Greenewald; Jiri Navratil; Jarret Ross; Jesus Rios Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: GRPO; off-policy
4134	Risk Phase Transitions in Spiked Regression: Alignment Driven Benign and Catastrophic Overfitting Authors: Jiping Li; Rishi Sonthalia Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Random Matrix Theory; Spiked Model; Linear Regression; Generalization
4135	Rényi Sharpness: A Novel Sharpness that Strongly Correlates with Generalization Authors: Qiaozhe Zhang; Jun Sun; Yingzhuang Liu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: generalization; sharpness; sharpness aware minimization
4136	SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and Guidelines Authors: Itai Morad; Nir Shlezinger; Yonina C. Eldar Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: knowledge distillation; SGD-based learning; Bayesian machine learning
4137	Saddle-To-Saddle Dynamics in Deep ReLU Networks: Low-Rank Bias in the First Saddle Escape Authors: Ioannis Bantzis; James B Simon; Arthur Jacot Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Saddle-to-Saddle; Implicit bias; Low-rank bias; Bottleneck rank
4138	Saddle-to-Saddle Dynamics Explains A Simplicity Bias Across Neural Network Architectures Authors: Yedi Zhang; Andrew M Saxe; Peter E. Latham Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: simplicity bias; learning dynamics; gradient flow
4139	Sample Complexity and Representation Ability of Test-time Scaling Paradigms Authors: Baihe Huang; Shanda Li; Tianhao Wu; Yiming Yang; Ameet Talwalkar; Kannan Ramchandran; Michael I. Jordan; Jiantao Jiao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Large Language Models; Test-time Scaling; Sample Complexity; Representation Theory
4140	Sampling Complexity of TD and PPO in RKHS Authors: LU ZOU; Wendi Ren; WEIZHONG ZHANG; Liang Ding; Shuang Li Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Kernel method; Kernel gradient descent; PPO; Temporal difference
4141	Scaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD? Authors: Jihwan Kim; Dogyoon Song; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: scaling laws; signSGD; SGD; compute-optimal curves; power-law random feature; warmup-stable-decay schedule
4142	Semi-Parametric Contextual Pricing with General Smoothness Authors: Yuxuan Han; Xiaocong Xu; Yuxiao Wen; Yanjun Han; Ilan Lobel; Zhengyuan Zhou Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Contextual pricing; online learning; semi-parametric models
4143	Sharp asymptotic theory for Q-learning with \texttt{LD2Z} learning rate and its generalization Authors: Soham Bonnerjee; Zhipeng Lou; Wei Biao Wu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Q-learning; Stochastic approximation; central limit theory; strong invariance principle
4144	Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions Authors: Yue Kang; Mingshuo Liu; Bongsoo Yi; Jing Lyu; Zhi Zhang; Doudou Zhou; Yao Li Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: contextual bandit; online learning
4145	Smooth Calibration Error: Uniform Convergence and Functional Gradient Analysis Authors: Futoshi Futami; Atsushi Nitanda Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: calibration; smooth calibration; gradient boosting; ece; generalization; uniform convergence
4146	Stable coresets: Unleashing the power of uniform sampling Authors: Amir Carmel; Robert Krauthgamer Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: clustering; $k$-median; coresets; uniform sampling; $\ell_1$ metric
4147	Statistical Advantage of Softmax Attention: Insights from Single-Location Regression Authors: O Duranthon; Pierre Marion; Claire Boyer; Bruno Loureiro; Lenka Zdeborová Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: attention; softmax attention; deep learning theory; sparse information retrieval; high-dimensional limit; high-dimensional statistics
4148	Sublinear Spectral Clustering Oracle with Little Memory Authors: Ranran Shen; Xiaoyi Zhu; Pan Peng; Zengfeng Huang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Spectral Clustering; Sublinear Algorithms; Memory-Efficient Algorithms; Space-Time Trade-offs; Random Walks
4149	Subquadratic Algorithms and Hardness for Attention with Any Temperature Authors: Shreya Gupta; Boyang Huang; Barna Saha; Yinzhan Xu; Christopher Ye Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Attention; Complexity
4150	SupCLAP: Controlling Optimization Trajectory Drift in Audio-Text Contrastive Learning with Support Vector Regularization Authors: Jiehui Luo; Yuguo Yin; Yuxin Xie; Jinghan Ru; Xianwei Zhuang; Minghua He; Aofan Liu; Zihan Xiong; Dongchao Yang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: contrastive learning; audio-text retrieval; representation learning
4151	Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking Authors: Dhruv Rohatgi; Abhishek Shetty; Donya Saless; Yuchen Li; Ankur Moitra; Andrej Risteski; Dylan J Foster Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: theory; reinforcement learning; sampling; process verifier; process reward; language model; LLM; value function; markov chain
4152	Testing Fourier Sparsity via Implicit Sensing Authors: Arijit Ghosh; Subhamoy Maitra; Manmatha Roy Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Learning Theory; Fourier Analysis; Fourier Sparsity; Sublinear Algorithm; Property Testing; Comprssed Sensing
4153	The Effect of Attention Head Count on Transformer Approximation Authors: Penghao Yu; Haotian Jiang; Zeyu Bao; Ruoxi Yu; Qianxiao Li Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Transformer; Approximation Theory; Lower Bound
4154	The Expressive Limits of Diagonal SSMs for State-Tracking Authors: Mehran Shakerinava; Behnoush Khavari; Siamak Ravanbakhsh; Sarath Chandar Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: state-space model; SSM; LRNN; linear RNN; expressivity; complex; dynamical system; state-tracking; semigroup; group; automata; Krohn-Rhodes
4155	The Price of Robustness: Stable Classifiers Need Overparameterization Authors: Jonas von Berg; Adalbert Fono; Massimiliano Datres; Sohir Maskey; Gitta Kutyniok Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: concentration inequalities; isoperimetry; robustness; stability; classification problems; generalization; overparameterization
4156	The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective Authors: Michael Muehlebach; Zhiyu He; Michael I. Jordan Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: control theory; reinforcement learning theory; dynamical systems; learning theory
4157	The Serial Scaling Hypothesis Authors: Yuxi Liu; Konpat Preechakul; Kananart Kuwaranancharoen; Yutong Bai Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Scaling Law; Computation complexity; Diffusion moodels
4158	Theoretical Analysis of Contrastive Learning under Imbalanced Data: From Training Dynamics to a Pruning Solution Authors: Haixu Liao; Yating Zhou; Songyang Zhang; Meng Wang; Shuai Zhang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Contrastive learning; Feature learning; Training dynamics; Theoretical analysis
4159	Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time Authors: Blake Bordelon; Mary Letey; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Deep Learning; scaling laws; in-context learning; transformers; attention
4160	Tight Bounds for Schrodinger Potential Estimation in Unpaired Data Translation Authors: Nikita Puchkin; Denis Suchkov; Alexey Naumov; Denis Belomestny Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Learning theory; stochastic optimal control; Schrodinger potential; non-asymptotic bounds
4161	Topology and geometry of the learning space of ReLU networks: connectivity and singularities Authors: Marco Nurisso; Pierrick Leroy; Giovanni Petri; Francesco Vaccarino Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: learning dynamics; topology; neural networks; ReLU networks; geometry; symmetry; loss landscape; gradient; singularity; connectedness
4162	Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections Authors: Zhuo Liu; Tao Chen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: biologically plausible learning; equilibrium propagation; brain-inspired network structure; residual connection; feedback regulation
4163	Towards a Sharp Analysis of Offline Policy Learning for $f$-Divergence-Regularized Contextual Bandits Authors: Qingyue Zhao; Kaixuan Ji; Heyang Zhao; Tong Zhang; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: contextual bandits; policy optimization; $f$-divergence; regularization
4164	Towards a Theoretical Understanding of In-context Learning: Stability and Non-I.I.D Generalisation Authors: Yingjie Wang; Yutian Zhou; Shi Fu; Yuzhu Chen; Yongcheng Jing; Leszek Rutkowski; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: In-context Learning; Generalisation Error
4165	Tractability via Low Dimensionality: The Parameterized Complexity of Training Quantized Neural Networks Authors: Robert Ganian; Frank Sommer; Manuel Sorge Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: treewidth; parameterized complexity; quantized neural networks; ReLU networks
4166	Training-Free Determination of Network Width via Neural Tangent Kernel Authors: Tatsumi Sunada; Toshihiko Yamasaki; Atsuto Maki Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: neural tangent kernel; kernel regression; smallest eigenvalue; generalization error
4167	Transfer Learning in Infinite Width Feature Learning Networks Authors: Clarissa Lauditi; Blake Bordelon; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Transfer Learning; Infinite Width; Kernel Methods
4168	Transformers Trained via Gradient Descent Can Provably Learn a Class of Teacher Models Authors: Chenyang Zhang; Qingyue Zhao; Quanquan Gu; Yuan Cao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: transformer; gradient descent; teacher-student setting
4169	Transformers as Measure-Theoretic Associative Memory: A Statistical Perspective and Minimax Optimality Authors: Ryotaro Kawata; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: associative memory; learning theory
4170	Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures Authors: Zhiheng Chen; Ruofan Wu; Guanhua Fang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: In-context learning; Gaussian Mixture Models; Theory
4171	Transformers with Endogenous In-Context Learning: Bias Characterization and Mitigation Authors: Haotian Wang; Hao Zou; Haoxuan Li; Haoang Chi; Yang Shi; Yuanxing Zhang; Wenjing Yang; Xinwang Liu; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: In-Context Learning; Hidden Confounder; Debiasing
4172	Tuning the burn-in phase in training recurrent neural networks improves their performance Authors: Julian D. Schiller; Malte Heinrich; Victor G. Lopez; Matthias A. Müller Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: RNN; training; learning theory; optimization
4173	Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation Authors: Alessio Giorlandino; Sebastian Goldt Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Transformer; Signal Propagation; Theory of Neural Networks; Physics for Machine Learning
4174	Two-Layer Convolutional Autoencoders Trained on Normal Data Provably Detect Unseen Anomalies Authors: Yanbo Chen; Weiwei Liu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Learning Theory
4175	Unbiased Gradient Estimation for Event Binning via Functional Backpropagation Authors: Jinze Chen; Wei Zhai; Han Han; Tiankai Ma; Yang Cao; Bin Li; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Event Camera; Gradient Computation; Automatic Differentiation; Functional Derivative
4176	Understanding the Dynamics of Forgetting and Generalization in Continual Learning via the Neural Tangent Kernel Authors: Guodong Zheng; Peng Wang; Shengchao Hu; Quan Zheng; Li Shen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Forgetting; Generalization; Continual Learning; Neural Tangent Kernel
4177	Understanding the Role of Training Data in Test-Time Scaling Authors: Adel Javanmard; Baharan Mirzasoleiman; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Language models; Learning theory; Chains-of-Thought; Inference compute; Test error
4178	Variational Inference for Cyclic Learning Authors: Zhuojun Zou; Jie Hao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Cyclic Learning; Self-supervised Learning
4179	Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems Authors: Ori Shem-Ur; Khen Cohen; Yaron Oz Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Neural Tangent Kernel; Linearization; Wide Neural Networks; Correlations; NTK; Weak Correlations
4180	When Bias Meets Trainability: Connecting Theories of Initialization Authors: Alberto Bassi; Marco Baity-Jesi; Aurelien Lucchi; Carlo Albert; Emanuele Francazi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Trainability; initial guessing bias; mean field regime; phase diagrams
4181	When Flatness Does (Not) Guarantee Adversarial Robustness Authors: Nils Philipp Walter; Linara Adilova; Jilles Vreeken; Michael Kamp Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Flatness; Adversarial Robustness
4182	When Is Diversity Rewarded in Cooperative Multi-Agent Learning? Authors: Michael Amir; Matteo Bettini; Amanda Prorok Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: multi-agent systems; heterogeneity; multi-agent reinforcement learning; co-design
4183	Why Ask One When You Can Ask $k$? Learning-to-Defer to the Top-$k$ Experts Authors: Yannis Montreuil; Axel Carlier; Lai Xing Ng; Wei Tsang Ooi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: learning to defer; selective prediction; routing; machine learning
4184	Why High-rank Neural Networks Generalize?: An Algebraic Framework with RKHSs Authors: Yuka Hashimoto; Sho Sonoda; Isao Ishikawa; Masahiro Ikeda Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Generalization bound; Deep neural network; Koopman operator; Reproducing kernel Hilbert space
4185	Why Less is More (Sometimes): A Theory of Data Curation Authors: Elvis Dohmatob; Mohammad Pezeshki; Reyhane Askari-Hemmat Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: data curation; LIMO (Less Is More); MIMO(More is More); synthetic data; beating scaling laws; mitigating model collapse; random matrix theory
4186	$\boldsymbol{\partial^\infty}$-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids Authors: Navami Kairanda; Shanthika Naik; Marc Habermann; Avinash Sharma; Christian Theobalt; Vladislav Golyanik Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Differentiable Equations; Neural Field and Representations; Feature Grid; RBF Interpolation; logic & formal reasoning; etc.)
4187	(U)NFV: (Un)Supervised Neural Finite Volume Methods for Solving Hyperbolic PDEs Authors: Nathan Lichtlé; Alexi Canesse; Zhe Fu; HOSSEIN NICK ZINAT MATIN; Maria Laura Delle Monache; Alexandre M Bayen Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Neural PDE solvers; Hyperbolic conservation laws; Finite volume methods; Physics-informed learning; Traffic modeling; logic & formal reasoning; etc.)
4188	A Hierarchical Circuit Symbolic Discovery Framework for Efficient Logic Optimization Authors: Yinqi Bai; Jie Wang; Tong Xialiang; Longdi Pan; Jilai Pan; Mingxuan Yuan; Jianye HAO Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Electronic Design Automation; Logic Synthesis; Large Language Models; logic & formal reasoning; etc.)
4189	ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity Authors: Xiaoyang Liu; Tao Zhu; Zineng Dong; Yuntian Liu; Guo qingfeng; Liu ZhaoXuan; Yu Chen; Tao Luo Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Lean 4; Evaluation Metric; Operator Trees; Autoformalization; logic & formal reasoning; etc.)
4190	ActivationReasoning: Logical Reasoning in Latent Activation Spaces Authors: Lukas Helff; Ruben Härle; Wolfgang Stammer; Felix Friedrich; Manuel Brack; Antonia Wüst; Hikaru Shindo; Patrick Schramowski; Kristian Kersting Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: reasoning; latent space; mechanistic interpretability; logic; logic & formal reasoning; etc.)
4191	Agnostics: Learning to Synthesize Code in Any Programming Language with a Universal Reinforcement Learning Environment Authors: Aleksander Boruch-Gruszecki; Yangtian Zi; Zixuan Wu; Tejas Oberoi; Carolyn Jane Anderson; Joydeep Biswas; Arjun Guha Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: large language models; program synthesis; code generation; reinforcement learning; low-resource programming languages; logic & formal reasoning; etc.)
4192	Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis Authors: Junyan Cheng; Kyle Richardson; Peter Chin Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Large Languege Models; LLM Agent; Reasoning; Forecast; logic & formal reasoning; etc.)
4193	Boolean Satisfiability via Imitation Learning Authors: Zewei Zhang; Huan Liu; YUANHAO YU; Jun Chen; Xiangyu Xu Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Boolean Satisfiability; Imitation Learning; Autoregressive Modeling; Branching Heuristics; logic & formal reasoning; etc.)
4194	CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering Authors: Yang Zhao; Chengxiao Dai; Wei Zhuo; Yue Xiu; Dusit Niyato Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Multi-hop KGQA; Neuro-symbolic reasoning; Agentic system; Context engineering; logic & formal reasoning; etc.)
4195	Composition-Grounded Data Synthesis for Visual Reasoning Authors: Xinyi Gu; Jiayuan Mao; Zhang-Wei Hong; Zhuoran Yu; Pengyuan Li; Dhiraj Joshi; Rogerio Feris; Zexue He Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Compositional data synthesis; compositional generalization; visual reasoning; chart understanding; Visual language model; logic & formal reasoning; etc.)
4196	Compositional Generalization from Learned Skills via CoT Training: A Theoretical and Structural Analysis for Reasoning Authors: Xinhao Yao; Ruifeng Ren; Yun Liao; Lizhong Ding; Yong Liu Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Information-Theoretic Bounds; Compositional Circuits; Reasoning Generalization; CoT Training; logic & formal reasoning; etc.)
4197	DRIFT: Decompose, Retrieve, Illustrate, then Formalize Theorems Authors: Meiru Zhang; Philipp Borchert; Milan Gritta; Gerasimos Lampouras Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: autoformalization; retrieval augmented generation; decomposition; logic & formal reasoning; etc.)
4198	DeepPrim: a Physics-Driven 3D Short-term Weather Forecaster via Primitive Equation Learning Authors: Jiawei Chen; Weiqi Chen; Rong Hu; Peiyuan Liu; Haifan Zhang; Liang Sun Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Weather forecasting; Physics-informed neural networks; Primitive equations; Earth atmospheric dynamics; Deep learning.; logic & formal reasoning; etc.)
4199	Divide and Abstract: Autoformalization via Decomposition and Abstraction Learning Authors: Marcus J. Min; Yeqi Gao; Wilson Sy; Zhaoyu Li; Xujie Si; Osbert Bastani Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Autoformalization; Formal Mathematics; AI for Math; Neurosymbolic AI; LLM; Large Language Models; Formal Theorem Proving; Neural Theorem Proving; logic & forma…
4200	Emergent Discrete Controller Modules for Symbolic Planning in Transformers Authors: S M Rafiuddin; Muntaha Nujat Khan Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Transformers; symbolic planning; discrete controller modules; length generalization; algorithmic reasoning; logic & formal reasoning; etc.)
4201	EvolProver: Advancing Automated theorem proving by Evolving Formalized Problems via Symmetry and Difficulty Authors: Yuchen Tian; Ruiyuan Huang; WANG XUANWU; Jing Ma; Zengfeng Huang; Ziyang Luo; Hongzhan Lin; Da Zheng; Lun Du Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Formal Theorem Proving; AI4Math; LLM4Math; Automated Theorem Proving; Prover; logic & formal reasoning; etc.)
4202	ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning Authors: Yichao Liang; Thanh Dat Nguyen; Cambridge Yang; Tianyang Li; Joshua B. Tenenbaum; Carl Edward Rasmussen; Adrian Weller; Zenna Tavares; Tom Silver; Kevin Ellis Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: learning abstractions for planning; neuro-symbolic ai; concept learning; logic & formal reasoning; etc.)
4203	From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks Authors: Ouns El Harzli; Bernardo Cuenca Grau; Artur d'Avila Garcez; Ian Horrocks; Tarek R. Besold Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: fibring; modal logics; logical expressiveness; graph neural networks; transformer encoders; logic & formal reasoning; etc.)
4204	GenSR: Symbolic regression based on equation generative space Authors: Qian Li; Yuxiao Hu; Juncheng Liu; Yuntian Chen Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Symbolic Regression; Equation Generative Latent Space; logic & formal reasoning; etc.)
4205	Gradient-Based Program Synthesis with Neurally Interpreted Languages Authors: Matthew Macfarlane; Clément Bonnet; Herke van Hoof; Levi Lelis Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Meta Learning; Neural Program Synthesis; Neuro-Symbolic Learning; logic & formal reasoning; etc.)
4206	Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI Authors: Feiyu Wu; Xu Zheng; Yue Qu; Zhuocheng Wang; Zicheng Feng; HUI LI Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: neurosymbolic AI; hybrid AI; formal reasoning; large language models; AI safety; verifiable AI; embodied AI; robotics; logic & formal reasoning; etc.)
4207	Hilbert: Recursively Building Formal Proofs with Informal Reasoning Authors: Sumanth Varambally; Thomas Voice; Yanchao Sun; Zhifeng Chen; Rose Yu; Ke Ye Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Formal Mathematics; Automated Theorem Proving; Mathematical Reasoning; Lean 4; LLMs for Math; Agents; logic & formal reasoning; etc.)
4208	Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features Authors: Yulun Wu; Miguel Aguiar; Karl Henrik Johansson; Matthieu Barreau Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: physics-informed machine learning; random features; differential equations; spectral bias; logic & formal reasoning; etc.)
4209	Let's Explore Step by Step: Generating Provable Formal Statements with Deductive Exploration Authors: Qi Liu; Kangjie Bao; Yue Yang; Xinhao Zheng; Renqiu Xia; Qinxiang Cao; Junchi Yan Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: large language model; math; formal theorem proving; problem generation; automated conjecturing; logic & formal reasoning; etc.)
4210	Light Differentiable Logic Gate Networks Authors: Lukas Rüttgers; Till Aczel; Andreas Plesner; Roger Wattenhofer Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: reparameterization; logic gate networks; vanishing gradients; logic & formal reasoning; etc.)
4211	LoC-Decomp: LLM Autoformalization via Logical Concept Decomposition and Iterative Feedback Correction Authors: Jiangze Shi; Zhiwei Zhang; Baoquan Ma; Shuai Zhao; Ye Yuan; Guoren Wang Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Autoformalization; Automated theorem proving; Large language model; logic & formal reasoning; etc.)
4212	MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning Authors: Haocheng Yang; Fengxiang Cheng; Tianjun Yao; Mengyue Yang; Jiajun Chai; Xiaohan Wang; Guojun Yin; Wei Lin; Soummya Kar; Fenrong Liu; Haoxuan Li; Yisen Wang Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Logical Reasoning; Symbolic AI; Multi-agent System; Large Language Models; logic & formal reasoning; etc.)
4213	MATA: A Trainable Hierarchical Automaton System for Multi-Agent Visual Reasoning Authors: Zhixi Cai; Fucai Ke; Kevin Leo; Sukai Huang; Maria Garcia de la Banda; Peter J. Stuckey; Hamid Rezatofighi Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Visual Reasoning; Agent; Neuro-Symbolic; logic & formal reasoning; etc.)
4214	Mathesis: Towards Formal Theorem Proving from Natural Languages Authors: Yu Xuejun; Jianyuan Zhong; Zijin Feng; Pengyi Zhai; Roozbeh Yousefzadeh; Wei Chong Ng; Haoxiong Liu; Ziyi Shou; Jing Xiong; Yudong Zhou; Claudia Beth Ong; Austen Jeremy Sugiarto;… Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: autoformalization; AI for math; AI for science; Lean 4; formal reasoning; parallel corpus; large language model; LLM; logic & formal reasoning; etc.)
4215	NePTune: A Neuro-Pythonic Framework for Tunable Compositional Reasoning on Vision-Language Authors: Danial Kamali; Parisa Kordjamshidi Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Neuro-Symbolic; Vision and Language; Compositional Reasoning; logic & formal reasoning; etc.)
4216	PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks Authors: Defu Cao; Wen Ye; Yizhou Zhang; Sam Griesemer; Yan Liu Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Diffusion; Transformer; Time Series; Physics Informed Machine Learning; logic & formal reasoning; etc.)
4217	Process-Verified Reinforcement Learning for Theorem Proving via Lean Authors: Minsu Kim; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Formal Reasoning; Large Language Models; Theorem Proving with LLMs; Lean4; logic & formal reasoning; etc.)
4218	ProofBridge: Auto-Formalization of Natural Language Proofs in Lean via Joint Embeddings Authors: Prithwish Jana; Kaan Kale; Ahmet Ege Tanriverdi; Cruise Song; Sriram Vishwanath; Vijay Ganesh Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: proof auto-formalization; mathematical theorem proving; Lean 4 interactive theorem prover; joint embedding; cross-modal retrieval; large language model (LLM);…
4219	ProofFlow: A Dependency Graph Approach to Faithful Proof Autoformalization Authors: Rafael Medeiros Cabral; Tuan Manh Do; Yu Xuejun; Wai Ming Tai; Zijin Feng; SHEN XIN Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Autoformalization; Large Language Models; Dependency Graph; Lean (Formal Language); Structural Fidelity; Semantic Faithfulness; logic & formal reasoning; etc.)
4220	QLCoder: A Query Synthesizer For Static Analysis of Security Vulnerabilities Authors: Claire Wang; Ziyang Li; Saikat Dutta; Mayur Naik Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Static Analysis; Program Synthesis; Vulnerability Detection; logic & formal reasoning; etc.)
4221	Robust Equation Structure Learning with Adaptive Refinement Authors: Yunlun Li; Sinno Jialin Pan Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Symbolic Regression; Genetic Programming; Equation Discovery; Large Language Model; AI for Science; logic & formal reasoning; etc.)
4222	STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation Authors: Zijin Liu; Xu Geng; Wenshuai Xu; Xiang Zhao; Yan Xia; You Song Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: spatiotemporal-learning; physics-informed; neural ODE; crowd simulation; logic & formal reasoning; etc.)
4223	Sharing State Between Prompts and Programs Authors: Ellie Y Cheng; Logan Weber; Tian Jin; Michael Carbin Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: natural language programming; large language model; programming languages; logic & formal reasoning; etc.)
4224	SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verification Authors: Rocky Klopfenstein; YANG HE; Andrew Tremante; Yuepeng Wang; Nina Narodytska; Haoze Wu Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Text-to-SQL; Formal Equivalence Checking; Satisfiability modulo Theories; logic & formal reasoning; etc.)
4225	Towards Persistent Noise-Tolerant Active Learning of Regular Languages with Class Query Authors: Lekai Chen; Ashutosh Trivedi; Alvaro Velasquez Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Active Learning; Automata Theory; Large Language Models; Regular languages; Value Alignment; Preference Modeling; logic & formal reasoning; etc.)
4226	Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading Authors: Zifan Song; Kaitao Song; Guosheng Hu; Ding Qi; Junyao Gao; Xiaohua Wang; Dongsheng Li; Cairong Zhao Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Multi-Agent System; Algorithmic Trading; Mathematical Reflection; Large Language Models; logic & formal reasoning; etc.)
4227	VERINA: Benchmarking Verifiable Code Generation Authors: Zhe Ye; Zhengxu Yan; Jingxuan He; Timothe Kasriel; Kaiyu Yang; Dawn Song Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: code generation; formal verification; verifiable code generation; AI for math; theorem proving; AI for code; logic & formal reasoning; etc.)
4228	VeriCoT: Neuro-symbolic Chain-of-Thought Validation via Logical Consistency Checks Authors: Yu Feng; Nathaniel Weir; Kaj Bostrom; Sam Bayless; Darion Cassel; Sapana Chaudhary; Benjamin Kiesl-Reiter; Huzefa Rangwala Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: Neuro-symbolic methods; Large Language Models; Chain-of-Thought; Reasoning verification; Formal logic; logic & formal reasoning; etc.)
4229	VoG: Enhancing LLM Reasoning through Stepwise Verification on Knowledge Graphs Authors: Wenxin Zhao; Jiachuan Wang; Yongqi Zhang; Shuangyin Li; Cheng Deng; Jun Wang; Lei Chen Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Poster/Regular Keywords: LLM reasoning; Knowledge Graphs; KG-enhanced LLM; logic & formal reasoning; etc.)
4230	A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints Authors: Ganzhao Yuan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Orthogonality Constraints; Nonconvex Optimization; Nonsmooth Composite Optimization; Block Coordinate Descent; Convergence Analysis
4231	A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization Authors: Xuan Tang; Jichu Li; Difan Zou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Convergence Theory; Non-convex Optimization; Adaptive Optimization; Quantization; Low-bit Training
4232	A Memory-Efficient Hierarchical Algorithm for Large-scale Optimal Transport Problems Authors: Wenzhou Xia; Ya-Nan Zhu; Jingwei Liang; Xiaoqun Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimal transport; linear programming; multiscale framework; first-order methods
4233	A Physics-Inspired Optimizer: Velocity Regularized Adam Authors: Pranav Vaidhyanathan; Lucas Schorling; Natalia Ares; Michael A Osborne Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization in deep learning; physics-inspired; edge of stability
4234	A Scalable Constant-Factor Approximation Algorithm for $W_p$ Optimal Transport Authors: Pankaj K Agarwal; Oliver Chubet; Sharath Raghvendra; Keegan Yao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimal transport; p-Wasserstein; min-cost matching
4235	A Tale of Two Geometries: Adaptive Optimizers and Non-Euclidean Descent Authors: Shuo Xie; Tianhao Wang; Beining Wu; Zhiyuan Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: adaptive optimizer; steepest descent; loss geometry; convergence rate
4236	Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models Authors: Giang Ngo; Dat Phan Trong; Dang Nguyen; Sunil Gupta; Svetha Venkatesh Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bayesian Optimization; Large Language Models
4237	Adaptive Methods Are Preferable in High Privacy Settings: An SDE Perspective Authors: Enea Monzio Compagnoni; Alessandro Stanghellini; Rustem Islamov; Aurelien Lucchi; Anastasia Koloskova Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic Differential Equations; Differential Privacy
4238	Adaptive Nonlinear Compression for Large Foundation Models Authors: Liang Xu; Shufan Shen; Qingming Huang; Yao Zhu; Xiangyang Ji; Shuhui Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Model Compression; Low-Rank Factorization; Large Language Models; Vision Model
4239	Adaptive Regularization for Large-Scale Sparse Feature Embedding Models Authors: Mang Li; Wei Lyu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: adaptive regularization; CTR estimation; large-scale sparse feature; optimization; one-epoch overfitting
4240	Adaptive gradient descent on Riemannian manifolds and its applications to Gaussian variational inference Authors: Jiyoung Park; Jaewook J. Suh; Bofan Wang; Anirban Bhattacharya; Shiqian Ma Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Adaptive method; Riemannian optimization; Variational Inference
4241	Align-SAM: Seeking Flatter Minima for Better Cross-Subset Alignment Authors: Van-Anh Nguyen; Mehrtash Harandi; Thanh-Toan Do; Linh Ngo Van; Dinh Phung; Trung Le Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Sharpness-aware; gradient alignment
4242	An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems Authors: Ni Zhang; Zhiguang Cao; Jianan Zhou; Cong Zhang; Yew-Soon Ong Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Vehicle Routing Problems; Agent; LLM
4243	Arbitrary-Order Block SignSGD for Memory-Efficient LLM Fine-Tuning Authors: Yijie Zhou; Shi Pu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Block-Coordinate Optimization; SignSGD; Large Language Models (LLMs); Memory-Efficient Fine-Tuning
4244	Asynchronous Matching with Dynamic Sampling for Multimodal Dataset Distillation Authors: Ding Qi; Jian Li; Shuguang Dou; Zifan Song; Junyao Gao; Yabiao Wang; Chengjie Wang; Cairong Zhao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Trajectory Matching; Dataset Distillation
4245	Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching Authors: Ren Kishimoto; Rikiya Takehi; Koichi Tanaka; Yoji Tomita; Masahiro Nomura; Riku Togashi; Yuta Saito Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Two-Sided Matching; User Retention; Learning-to-Rank
4246	Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval Authors: Haike Xu; Tong Chen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Vector Similarity Search; Information Retrieval; LLM reranker
4247	Beyond Short Steps in Frank-Wolfe Algorithms Authors: David Martínez-Rubio; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Frank-Wolfe algorithm; optimism; primal-dual algorithms
4248	Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models Authors: Yuhang Liu; Tao Li; Zhehao Huang; Zuopeng Yang; Xiaolin Huang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: low-rank adaptation; efficient training; generalization
4249	Bilevel Optimization with Lower-Level Uniform Convexity: Theory and Algorithm Authors: Yuman Wu; Xiaochuan Gong; Jie Hao; Mingrui Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bilevel Optimization; Lower-level Uniform Convexity; Thery; Algorithm
4250	Birch SGD: A Tree Graph Framework for Local and Asynchronous SGD Methods Authors: Alexander Tyurin; Danil Sivtsov Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: asynchronous sgd; optimal time complexity; nonconvex optimization; parallel methods; stochastic optimization; unified framework
4251	BoGrape: Bayesian optimization over graphs with shortest-path encoded Authors: Yilin Xie; Shiqiang Zhang; Jixiang Qing; Ruth Misener; Calvin Tsay Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bayesian optimization; graph optimization; mixed-integer programming; shortest-path
4252	BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity Authors: Shiwei Li; Xiandi Luo; Haozhao Wang; Xing Tang; Ziqiang Cui; Dugang Liu; Yuhua Li; Yichen Li; Xiuqiang He; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: LoRA; Block Matrix Multiplication; Higher Matrix Rank
4253	Byzantine-Robust Federated Learning with Learnable Aggregation Weights Authors: Javad Parsa; Amir Hossein Daghestani; André M. H. Teixeira; Mikael Johansson Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Federated Learning; Byzantine Robustness; Distributed Optimization
4254	CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design Authors: Ziyao Huang; Weiwei Wu; Kui Wu; Wei-Bin Lee; Jianping Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: LLM; Algorithm Generation; Reinforcement Learning
4255	COSMOS: A Hybrid Adaptive Optimizer for Efficient Training of Large Language Models Authors: Liming Liu; Zhenghao Xu; Zixuan Zhang; Hao Kang; Zichong Li; Chen Liang; Weizhu Chen; Tuo Zhao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Efficient Optimizer for LLMs; Preconditioning; Muon; SOAP; Adam
4256	Cautious Weight Decay Authors: Lizhang Chen; Jonathan Li; Kaizhao Liang; Baiyu Su; Cong Xie; Chen Liang; Ni Lao; qiang liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; regularization; weight decay; decoupled; lyapunov; training; deep learning
4257	Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs Authors: Shuangchun Gui; Suyu Liu; Xuehe Wang; Zhiguang Cao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Multi-task learning; deep reinforcement learning; vehicle routing problems
4258	Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis Authors: Zijian Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Convex Optimization; Heavy-Tailed Noise; Gradient Clipping
4259	Communication-Efficient Decentralized Optimization via Double-Communication Symmetric ADMM Authors: Jinrui Huang; Xueqin Wang; Dong Liu; Jingguo Lan; Runxiong Wu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Decentralized Optimization; Symmetric ADMM; Multi-Communication
4260	Composite Optimization with Error Feedback: the Dual Averaging Approach Authors: Yuan Gao; Anton Rodomanov; Jeremy Rack; Sebastian U Stich Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Composite Optimization; Distributed Optimization; Communication Compression; Error Feedback; Dual Averaging
4261	Consistent Low-Rank Approximation Authors: David Woodruff; Samson Zhou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: low-rank approximation; online algorithms; consistency; recourse
4262	Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming Authors: jiajun Li; Yixuan Li; Ran Hou; Yu Ding; Shisi Guan; Jiahui Duan; Xiongwei Han; Tao Zhong; Vincent Chau; Weiwei Wu; Zhiyuan Liu; Wanyuan Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Mixed-integer Linear Programming; Learning to Optimize; Model Reduction
4263	Contextual Causal Bayesian Optimisation Authors: Vahan Arsenyan; Antoine Grosnit; Haitham Bou Ammar; Arnak S. Dalalyan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bayesian Optimization; Causality; Optimal Control
4264	Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization Authors: Zhe Li; Bicheng Ying; Zidong Liu; Chaosheng Dong; Haibo Yang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Zeroth-Order Optimization; Federated Learning; Hessian; LLM Fine-tuning; Communication Efficiency
4265	Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian Authors: Yiran Zhang; Weihang Xu; Mo Zhou; Maryam Fazel; Simon Shaolei Du Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: over-parameterization; global convergence; non-convex optimization; mixtures of Gaussians; score-based generative models
4266	Convergence of Muon with Newton-Schulz Authors: Gyu Yeol Kim; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Muon; Newton–Schulz; Orthogonalization; Nonconvex Optimization
4267	Convergence of Regret Matching in Potential Games and Constrained Optimization Authors: Ioannis Anagnostides; Emanuel Tewolde; Brian Hu Zhang; Ioannis Panageas; Vincent Conitzer; Tuomas Sandholm Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: regret matching; no-regret learning; potential games; constrained optimization
4268	Corner Gradient Descent Authors: Dmitry Yarotsky Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: mini-batch stochastic gradient descent; momentum; sampling noise; convergence rates; acceleration; power laws; phase diagram; contour integration; rational app…
4269	Cut Less, Fold More: Model Compression through the Lens of Projection Geometry Authors: Olga Saukh; Dong Wang; Haris Šikić; Yun Cheng; Lothar Thiele Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: model compression; structured pruning; model folding; projection geometry
4270	DADA: Dual Averaging with Distance Adaptation Authors: Mohammad Moshtaghifar; Anton Rodomanov; Daniil Vankov; Sebastian U Stich Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Adaptive Optimization; Universal Gradient Method; Dual Averaging
4271	DISK: Differentiable Sparse Kernel Complex for Efficient Spatially-Variant Convolution Authors: Zhizhen Wu; Cao Zhe; Yuchi Huo Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Kernel Approximation; Differentiable Filtering; Spatially-Varying Convolution; Efficient Image Processing
4272	DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD Authors: Xianbiao Qi; Marco Chen; Wenjie Xiao; Jiaquan Ye; Yelin He; Chun-Guang Li; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Transformer; Deep Normalization; SGD
4273	DR-Submodular Maximization with Stochastic Biased Gradients: Classical and Quantum Gradient Algorithms Authors: Shengminjie Chen; Xiaoming Sun; Wenguo Yang; Jialin Zhang; Zihan Zhao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: DR-submodular Maximization; Stochastic Biased Gradients; Zero-Order Optimization; Quantum Gradient Estimation; Approximation Algorithms
4274	DeMo: Decoupled Momentum Optimization Authors: Bowen Peng; Lizhang Chen; Baiyu Su; Jeffrey Quesnelle; Diederik P Kingma; qiang liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: deep learning; large language models; optimization; training; generative models; pre-training; foundational models; distributed training
4275	Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence Authors: Shuhua Yu; Dusan Jakovetic; Soummya Kar Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic optimization; heavy-tailed noise; decentralized optimization; normalization
4276	Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms Authors: Spyros Angelopoulos; Christoph Dürr; Georgii Melidi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learning-augmented algorithms; online algorithms; competitive analysis; performance evaluation metrics; decision theory
4277	Deep FlexQP: Accelerated Nonlinear Programming via Deep Unfolding Authors: Alex Oshin; Rahul Vodeb Ghosh; Augustinos D Saravanos; Evangelos Theodorou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learning-to-Optimize; Deep Unfolding; Nonlinear Programming
4278	Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts Authors: Ya Shen; Gang Chen; Hui Ma; Mengjie Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Cloud Computing; Dynamic Workflow Scheduling; Deep Reinforcement Learning
4279	Derandomized Online-to-Non-convex Conversion for Stochastic Weakly Convex Optimization Authors: Fanfan Ji; Xiaotong Yuan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Non-smooth optimization; Non-convex optimization; Stochastic gradient descent with momentum; Online learning; Neural networks
4280	Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization Authors: Zihao Zhao; Christopher Yeh; Lingkai Kong; Kai Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Decisoin-focused learning; stochastic optimization; diffusion models
4281	Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval Authors: Wenhao Yang; Sifan Yang; Lijun Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Online Convex Optimization; Discounted Online Learning; Adaptive Algorithms
4282	Distributional Consistency Loss: Beyond Pointwise Data Terms in Inverse Problems Authors: George Webber; Andrew J. Reader Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Inverse problems; data fidelity; denoising; image reconstruction; regularization; overfitting
4283	Distributionally Robust Linear Regression with Block Lewis Weights Authors: Naren Sarayu Manoj; Kumar Kshitij Patel Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: distributionally robust optimization; linear regression; acceleration; convex geometry
4284	Distributionally Robust Optimization via Generative Ambiguity Modeling Authors: JIAQI WEN; Jianyi Yang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Distributionally Robust Optimization; Generative Models; OOD Generalization
4285	Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise Authors: Juan Ramirez; Simon Lacoste-Julien Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Constrained Optimization; Min-max Optimization; Augmented Lagrangian Method; Optimistic Gradient Method
4286	Efficient Submodular Maximization for Sums of Concave over Modular Functions Authors: Yang Lv; Guihao Wang; Dachuan Xu; Ruiqi Yang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Submodular maximization; Sums of Concave over Modular functions; Accelerated Approximate Projected Gradient Ascent; Randomized rounding; GPU-parallel optimizat…
4287	Efficient algorithms for Incremental Metric Bipartite Matching Authors: Ritesh Seth; Mrinal Garg; Sujoy Bhore; Sharath Raghvendra; Syamantak Das Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: metric bipartite matching; dynamic algorithm; 1-Wasserstein distance
4288	Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking Authors: Ali Saheb Pasand; Elvis Dohmatob Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: grokking; optimization; generalization; acceleration
4289	Enhancing Communication Compression via Discrepancy-aware Calibration for Federated Learning Authors: Zhiyi Wan; Yijia Chi; Liang Li; Wanrou Du; Miao Pan; Xiaoqi Qin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Federated Learning; Communication Compression
4290	Enhancing Stability of Physics-Informed Neural Network Training Through Saddle-Point Reformulation Authors: Dmitry Bylinkin; Mikhail Aleksandrov; Savelii Chezhegov; Aleksandr Beznosikov Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Physics-informed neural networks; Multi-task learning; Saddle-point problems; Scientific machine learning
4291	Entropic Confinement and Mode Connectivity in Overparameterized Neural Networks Authors: Luca Di Carlo; Chase Goddard; David J. Schwab Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Mode Connectivity; Generalization; Entropy; Curvature; Flatness; Sharpness
4292	Error Feedback for Muon and Friends Authors: Kaja Gruntkowska; Alexander Gaponov; Zhirayr Tovmasyan; Peter Richtárik Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; communication efficiency; compression; error feedback
4293	Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets Authors: Yuchen Yang; Wenze Lin; Enhao Huang; Zhixuan Chu; Hongbin zhou; Lan Tao; Yiming Li; Zhan Qin; Kui Ren Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Large Language Model; Fine-tuning; Token-level Data
4294	Explaining Grokking and Information Bottleneck through Neural Collapse Emergence Authors: Keitaro Sakamoto; Issei Sato Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: deep learning; grokking; information bottleneck; neural collapse; training dynamics
4295	Exploring Diverse Generation Paths via Inference-time Stiefel Activation Steering Authors: Dongxuan Zhu; Ly Tran Ho Khanh; Andy Yat-Ming Cheung; Man-Chung Yue; Viet Anh Nguyen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: activation steering; generation diversity; manifold opimization
4296	FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming Authors: Hongpei Li; Hui Yuan; Han Zhang; Jianghao Lin; Dongdong Ge; Mengdi Wang; Yinyu Ye Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Mixed Integer-Linear Programming; Learning to Optimize; Flow Matching
4297	Fantastic Pretraining Optimizers and Where to Find Them Authors: Kaiyue Wen; David Leo Wright Hall; Tengyu Ma; Percy Liang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimizer; benchmarking; pretrain
4298	Fast Frank–Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions Authors: Shota Takahashi; Sebastian Pokutta; Akiko Takeda Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; First-order method; Convex optimization; Nonconvex optimization
4299	Faster Gradient Methods for Highly-smooth Stochastic Bilevel Optimization Authors: Lesi Chen; Junru Li; El Mahdi Chayti; Jingzhao Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: bilevel optimization; stochastic acceleration
4300	FedMuon: Federated Learning with Bias-corrected LMO-based Optimization Authors: Yuki Takezawa; Anastasia Koloskova; Xiaowen Jiang; Sebastian U Stich Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: fderated learnig; muon; linear minimizatio oracle
4301	From Fields to Random Trees Authors: Yaomin Wang; Xiaodong Luo; Tianshu Yu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: MAP estimation; Markov Random Fields; random spanning trees
4302	From Sequential to Parallel: Reformulating Dynamic Programming as GPU Kernels for Large-Scale Stochastic Combinatorial Optimization Authors: Jingyi Zhao; Linxin Yang; Haohua ZHANG; Qile He; Tian Ding Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: CUDA; GPU computing; Large-scale optimization; Dynamic Programming; Stochastic Optimization
4303	Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making Authors: Prince Zizhuang Wang; Shuyi Chen; Jinhao Liang; Ferdinando Fioretto; Shixiang Zhu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: decision focused learning; decision making; stochastic optimization; generative models; operational research
4304	Generalizable Heuristic Generation Through LLMs with Meta-Optimization Authors: Yiding Shi; Jianan Zhou; Wen Song; Jieyi Bi; Yaoxin Wu; Zhiguang Cao; Jie Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Combinatorial Optimization; Large Language Models; Heuristic Generation
4305	Globally aware optimization with resurgence Authors: Wei Bu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: non-convex optimization; optimization landscape
4306	GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs Authors: Selim An; Il hong Suh; Yeseong Kim Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Quantized large language models; low-rank error correction; group-shared factorization; randomized SVD; selective restoration; low-latency inference
4307	Gradient Descent with Large Step Sizes: Chaos and Fractal Convergence Region Authors: Shuang Liang; Guido Montufar Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: large step size; gradient descent; matrix factorization; convergence; implicit bias; chaos; fractal basin boundary
4308	Gradient-Normalized Smoothness for Optimization with Approximate Hessians Authors: Andrei Semenov; Martin Jaggi; Nikita Doikov Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; second-order methods; Hessian approximations
4309	Graph-based Nearest Neighbors with Dynamic Updates via Random Walks Authors: Nina Mishra; Yonatan Naamad; Tal Wagner; Lichen Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: nearest neighbor search; graph; random walk
4310	Group-Normalized Implicit Value Optimization for Language Models Authors: Yunseon Choi; Junyoung Jang; Chaeyoung Oh; Minchan Jeong; Doo Hwan Hwang; Kee-Eung Kim Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: LLM post-training
4311	Grouping Nodes with known Value Differences: A lossless UCT-based Abstraction Algorithm Authors: Robin Schmöcker; Alexander Dockhorn; Bodo Rosenhahn Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Artificial intelligence; Sequential decision-making; Abstractions; MCTS
4312	Guaranteed Simply Connected Mesh Reconstruction from an Unorganized Point Cloud Authors: Liyan Chen; Jingyi Li; Qixing Huang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: 3D Reconstruction; spectral techniques; topological guarantee; Laplacian; Hodge decomposition
4313	Harmonized Cone for Feasible and Non-conflict Directions in Training Physics-Informed Neural Networks Authors: Dohyun Bu; Yujung Byun; Jong-Seok Lee Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Physics-Informed Neural Networks; Multi-loss Optimization; Gradient Conflict Resolution; Feasible Directions; Nonconvex Convergence
4314	HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design Authors: ChentongChen; Mengyuan Zhong; Jialong Shi; Jianyong Sun; Ye Fan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Large Language Models; Evolutionary Computation; Guided Prompt Synthesis; Knowledge Accumulation; Automated Algorithm Design
4315	High-Probability Bounds for the Last Iterate of Clipped SGD Authors: Savelii Chezhegov; Daniela Angela Parletta; Andrea Paudice; Eduard Gorbunov Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic optimization; high-probability convergence; heavy-tailed noise; last-iterate convergence; gradient clipping
4316	Hinge Regression Tree: A Newton Method for Oblique Regression Tree Splitting Authors: Hongyi Li; Han Lin; Jun Xu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Regression trees; Newton method; Convergence
4317	How does the optimizer implicitly bias the model merging loss landscape? Authors: Chenxiang Zhang; Alexander Theus; Damien Teney; Antonio Orvieto; Jun Pang; Sjouke Mauw Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: loss landscape; mode connectivity; model merging; optimization; implicit bias
4318	How hard is learning to cut? Trade-offs and sample complexity Authors: Sammy Khalife; Andrea Lodi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Integer programming; branch-and-cut; branch-and-bound; sample complexity; learning theory
4319	Hyperbolic Aware Minimization: Implicit Bias for Sparsity Authors: Tom Jacobs; Advait Gadhikar; Celia Rubio-Madrigal; Rebekka Burkholz Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Sparsity; Implicit bias; Sign flip; Exponential update; Training dynamics; Bregman function
4320	IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment Authors: Chenlin Ming; Chendi Qu; Qizhi Pei; Zhuoshi Pan; Yu Li; Xiaoming Duan; Lijun Wu; Conghui He Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Data Re-weighting; LLM SFT
4321	INSTANT: Compressing Gradients and Activations for Resource-Efficient Training Authors: Tuan-Kiet Doan; Trung-Hieu Tran; Enzo Tartaglione; Nikola Simidjievski; Van-Tam Nguyen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Gradient Compression; Activation Compression; Resource-Constraint Training
4322	Implicit Bias and Loss of Plasticity in Matrix Completion: Depth Promotes Low-Rankness Authors: Baekrok Shin; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Implicit Bias; Implicit Regularization; Loss of Plasticity; Matrix Completion; Depth; Low-Rank
4323	Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime Authors: Beomhan Baek; Minhak Song; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Adam; Signum; implicit bias; separable data; adaptive algorithms; mini-batch
4324	Implicit Inversion turns CLIP into a Decoder Authors: Antonio D'Orazio; Maria Rosaria Briglia; Donato Crisostomi; Dario Loi; Emanuele Rodolà; Iacopo Masi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Model Inversion; Text To Image; CLIP; Implicit Neural Representations
4325	Implicit bias produces neural scaling laws in learning curves, from perceptrons to deep networks Authors: Francesco D'Amico; Dario Bocchi; Matteo Negri Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural scaling laws; Implicit bias; Learning curves; Spectral complexity norm; Perceptron theory
4326	Improved $\ell_{p}$ Regression via Iteratively Reweighted Least Squares Authors: Alina Ene; Ta Duy Nguyen; Adrian Vladu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: lp regression; optimization
4327	Improving Feasibility via Fast Autoencoder-Based Projections Authors: Maria Chzhen; Priya L. Donti Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: amortized optimization; nonconvex optimization; surrogate models; feasibility
4328	Improving LLM-based Global Optimization with Search Space Partitioning Authors: Andrej Schwanke; Lyubomir Ivanov; David Salinas; Fabio Ferreira; Aaron Klein; Frank Hutter; Arber Zela Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: global optimization; LLMs; blackbox optimization; multi-armed bandits
4329	Improving Online-to-Nonconvex Conversion for Smooth Optimization via Double Optimism Authors: Francisco Patitucci; Ruichen Jiang; Aryan Mokhtari Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Online-to-nonconvex conversion; Optimistic Gradient Descent; Smooth Nonconvex Optimization
4330	LEGACY: A Lightweight Dynamic Gradient Compression Strategy for Distributed Deep Learning Authors: Mostapha Essoullami; El houcine Bergou; Aritra Dutta Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Distributed Computing; Compressed Communication; Federated Learning
4331	LMask: Learn to Solve Constrained Routing Problems with Lazy Masking Authors: Tianyou Li; Haijun Zou; JIAYUAN WU; Zaiwen Wen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Routing Problem; Deep Learning
4332	Landing with the Score: Riemannian Optimization through Denoising Authors: Andrey Kharitenko; Zebang Shen; Riccardo De Santi; Niao He; Florian Dorfler Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Riemannian Optimization; Manifold Learning; Diffusion Models
4333	Learning to Adapt: In-Context Learning Beyond Stationarity Authors: Zhen Qin; Jiachen Jiang; Zhihui Zhu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: in-context learning; gated linear attention; non-stationary regression
4334	Learning to Solve Orienteering Problem with Time Windows and Variable Profits Authors: Songqun Gao; Zanxi Ruan; Patrick Floor; Marco Roveri; Luigi Palopoli; Daniele Fontanelli Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learning to optimize; vehicle routing problem; orienteering problem
4335	Lifelong Learning with Behavior Consolidation for Vehicle Routing Authors: Jiyuan Pei; Yi Mei; Jialin Liu; Mengjie Zhang; Xin Yao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Vechicle Routing; Lifelong Learning for Optimization
4336	Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling Authors: Junyi Yao; Parham Eftekhar; Gene Cheung; Xujin Chris Liu; Yao Wang; Wei Hu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: balanced signed graph; spectral denoising; graph classification
4337	LoRA-S: An Efficient Low Rank Adaptation scheme via Sylvester equation Authors: Jinyang ZHENG; Tong Wu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; LoRA
4338	LogART: Pushing the Limit of Efficient Logarithmic Post-Training Quantization Authors: Jiawei Xu; Yi Zheng; Chenghe Sun; Taiyu Zhou; Zuqi Zhang; Jie Li; Lirong Zheng; Zhuo Zou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Post-training quantization; Logarithmic quantization; Adaptive rounding; Hyperparameter search; Low-power computing
4339	MILPnet: A Multi-Scale Architecture with Geometric Feature Sequence Representations for Advancing MILP Problems Authors: Ruobing Wang; Xin Li; Mingzhong Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: MILP; optimal
4340	MaskCO: Masked Generation Drives Effective Representation Learning and Exploiting for Combinatorial Optimization Authors: Lvda Chen; Yang Li; Junchi Yan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Masked Generation
4341	Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization Authors: Chaewon Moon; Dongkuk Si; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: sharpness-aware minimization; implicit bias; gradient flow
4342	Monotone Near-Zero-Sum Games: A Generalization of Convex-Concave Minimax Authors: Ruichen Luo; Sebastian U Stich; Krishnendu Chatterjee Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Non-zero-sum games; monotone games
4343	Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies Authors: Qinglong Hu; Tong Xialiang; Mingxuan Yuan; Fei Liu; Zhichao Lu; Qingfu Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Automated control policy discovery; Evolutionary computation; Multimodal large language models
4344	Muon Outperforms Adam in Tail-End Associative Memory Learning Authors: Shuche Wang; Fengzhuo Zhang; Jiaxiang Li; Cunxiao Du; Chao Du; Tianyu Pang; Zhuoran Yang; Mingyi Hong; Vincent Y. F. Tan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Transformers; Muon; Optimization
4345	MuonBP: Faster Muon via Block-Periodic Orthogonalization Authors: Ahmed Khaled; Kaan Ozkara; Tao Yu; Mingyi Hong; Youngsuk Park Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: muon; orthogonalizaton
4346	Nearly Space-Optimal Graph and Hypergraph Sparsification in Insertion-Only Data Streams Authors: Vincent Cohen-Addad; David Woodruff; Shenghao Xie; Samson Zhou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: streaming algorthms; graph sparsification; adversarial robustness
4347	Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex Optimization Authors: Ekaterina Borodich; Dmitry Kovalev Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: convex optimization; adaptive optimization; gradient methods; accelerated methods
4348	Neural Collapse in Multi-Task Learning Authors: Youjun Wang; Boqi Li; Xin Zou; Weiwei Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Collapse
4349	Neural Hamilton–Jacobi Characteristic Flows for Optimal Transport Authors: Yesom Park; Shu Liu; Mo Zhou; Stanley Osher Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimal Transport; Hamilton–Jacobi Equations; Method of Characteristics; Class-Conditional Optimal Transport
4350	Neural Multi-Objective Combinatorial Optimization for Flexible Job Shop Scheduling Problems Authors: Igor G. Smit; Yaoxin Wu; Pavel Troubil; Yingqian Zhang; Wim P.M. Nuijten Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Multi-Objective Combinatorial Optimization; Flexible Job Shop Scheduling Problem; Deep Reinforcement Learning
4351	Never Saddle for Reparameterized Steepest Descent as Mirror Flow Authors: Tom Jacobs; Chao Zhou; Rebekka Burkholz Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Implicit bias; mirror flow; sign gradient descent; Adam; AdamW; steepest descent; reparameterization; diagonal linear networks
4352	Newton Method Revisited: Global Convergence Rates up to $O(1/k^3)$ for Stepsize Schedules and Linesearch Procedures Authors: Slavomir Hanzely; Farshed Abdukhakimov; Martin Takáč Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Damped Newton Methods; Tensor Methods; Linesearch Procedures; Global Convergence Guarantees
4353	Non-Asymptotic Analysis of Efficiency in Conformalized Regression Authors: Yunzhen Yao; Lie He; Michael Gastpar Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: conformal prediction; efficiency; conformalized regression; quantile regression; uncertainty quantification
4354	OR-PRM: A Process Reward Model for Algorithmic Problem in Operations Research Authors: Yilin Wang; Heng Zhou; Dongxing Mao; Linjie Li; Jingru Tan; Haochen Han; Zhengyuan Yang; Alex Jinpeng Wang; Min Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Operations Research; Process Reward Model; Large Lanugage Model
4355	On Smoothness Bounds for Non-Clairvoyant Scheduling with Predictions Authors: Tianming Zhao; Albert Zomaya Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Algorithms with predictions; Smoothness; Scheduling
4356	On the $O(1/T)$ Convergence of Alternating Gradient Descent–Ascent in Bilinear Games Authors: Tianlong Nan; Shuvomoy Das Gupta; Garud Iyengar; Christian Kroer Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Two-player zero-sum games; Alternating gradient descent-ascent; Performance estimation programming
4357	On the Benefits of Weight Normalization for Overparameterized Matrix Sensing Authors: Yudong Wei; Liang Zhang; Bingcong Li; Niao He Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Weight normalization; Overparameterization; Matrix sensing; Non-convex optimization
4358	On the Convergence Direction of Gradient Descent Authors: Shuo Chen; Xiaolong Li; Jiaying Peng; Yao Zhao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Gradient Descent; Edge of Stability; Convergence Direction
4359	Online Decision-Focused Learning Authors: Aymeric Capitaine; Maxime Haddouche; Eric Moulines; Michael I. Jordan; Etienne Boursier; Alain Oliviero Durmus Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: decision-focused learning; integrated estimaton optimization; predict-then-optimize; online learning
4360	Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits Authors: Federico Cinus; Yuko Kuroki; Atsushi Miyauchi; Francesco Bonchi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: bandits; online learning; opinion dynamics; social media platforms
4361	PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models Authors: Xuewen Liu; Zhikai Li; Jing Zhang; Mengjuan Chen; Jianquan Li; Qingyi Gu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Model Quantization; Autoregressive Visual Generation Models
4362	Predictive Differential Training Guided by Training Dynamics Authors: Fanqi Wang; Weisheng Tang; Landon Harris; Hairong Qi; Dan Wilson; Igor Mezic Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Training Dynamics; Koopman Operator Theory; Predictive Training; Deep Neural Networks
4363	Provably Accelerated Imaging with Restarted Inertia and Score-based Image Priors Authors: Marien Renaud; Julien Hermant; Deliang Wei; Yu Sun Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Image reconstruction; accelerated iterative algorithms; regularization by denoising; score-based image prior; restarted inertia
4364	Proving the Limited Scalability of Centralized Distributed Optimization via a New Lower Bound Construction Authors: Alexander Tyurin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: nonconvex optimization; lower bounds; distributed optimization
4365	RADAR: Learning to Route with Asymmetry-aware Distance Representations Authors: Hang Yi; Ziwei Huang; Yining Ma; Zhiguang Cao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Vehicle Routing Problem
4366	RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States Authors: Xiangjie Xiao; Cong Zhang; Wen Song; Zhiguang Cao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Flexible Job Shop Scheduling Problem; Deep Reinforcement Learning; Transformer Architecture
4367	Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction Authors: Ryan Lucas; Kayhan Behdin; Zhipeng Wang; Qingquan Song; Shao Tang; Rahul Mazumder Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: LLM Compression; Pruning; Reasoning; Chain-of-Thought
4368	Reducing Contextual Stochastic Bilevel Optimization via Structured Function Approximation Authors: Maxime Bouscary; Jiawei Zhang; Saurabh Amin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: stochastic optimization; bilevel optimization; contextual stochastic optimization; parametrization
4369	Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM Authors: Rongjie Zhu; Cong Zhang; Zhiguang Cao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Capacitated Vehicle Routing; Large Language Model; Reinforcement Finetuning
4370	Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation Authors: Jianlong Chen; Zhiming Zhou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Sharpness-Aware Minimization; Optimization; Generalization
4371	Riemannian Federated Learning via Averaging Gradient Streams Authors: Zhenwei Huang; Wen Huang; Pratik Jawanpuria; Bamdev Mishra Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Riemannian federated learning; Averaging gradient streams; Partial participation; Heterogeneity data; Riemannian distributed optimization
4372	Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds Authors: Shaocong Ma; Heng Huang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: zeroth-order optimization; riemannian optimization; stochastic gradient descent
4373	Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity Authors: Arto Maranjyan; Peter Richtárik Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: asynchronous SGD; data heterogeneity; optimal time complexity; nonconvex optimization; parallel methods; stochastic optimization
4374	Robust Training of Neural Networks at Arbitrary Precision and Sparsity Authors: Chengxi Ye; Grace Chu; Yanfeng Liu; Yichi Zhang; Lukasz Lew; Li Zhang; Mark Sandler; Andrew G. Howard Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Quantization; Sparsity
4375	SGD with Adaptive Preconditioning: Unified Analysis and Momentum Acceleration Authors: Dmitry Kovalev Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: convex optimization; stochastic optimization; adaptive optimization; gradient methods; accelerated methods
4376	SVD Provably Denoises Nearest Neighbor Data Authors: Ravindran Kannan; Kijun Shin; David Woodruff Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: nearest neighbor; planted models
4377	Scalable Second-order Riemannian Optimization for $K$-means Clustering Authors: Peng Xu; Chun Ying Hou; Xiaohui Chen; Richard Y. Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: K-means clustering; manifold optimization; Newton's method; nonconvex
4378	Scaling Direct Feedback Learning with Jacobian Alignment Guarantees Authors: Paul Caillon; Erwan Fagnou; Blaise Delattre; Alexandre Allauzen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: backpropagation-free learning; optimization
4379	Seesaw: Accelerating Training by Balancing Batch Size and Learning Rate Scheduling Authors: Alexandru Meterez; Depen Morwani; Jingfeng Wu; Costin-Andrei Oncescu; Cengiz Pehlevan; Sham M. Kakade Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; batch size; cbs; scheduler; llm; pretraining
4380	Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization Authors: Haocheng Luo; Zehang Deng; Thanh-Toan Do; Mehrtash Harandi; Dinh Phung; Trung Le Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; direct preference optimization; sharpness-aware minimization; learning dynamics
4381	Shuffling the Data, Extrapolating the Step: Sharper Bias In Constant Step-Size SGD Authors: Konstantinos Emmanouilidis; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Rene Vidal Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: variational inequalities; multi-agent optimization; stochastic algorithms
4382	Sign-SGD via Parameter-Free Optimization Authors: Daniil Medyakov; Stanko Sergey; Gleb Molodtsov; Philip Zmushko; Evseev Grigoriy; Egor Petrov; Aleksandr Beznosikov Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Parameter-free optimization; Sign descent; Convex optimization; Stochastic optimization
4383	Single-Loop Byzantine-Resilient Federated Bilevel Optimization Authors: Yangnan Li; Shenghui Song; Xuanyu Cao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bilevel optimization; Federated learning; Byzantine robustness
4384	Sobolev Gradient Ascent for Optimal Transport: Barycenter Optimization and Convergence Analysis Authors: Kaheon Kim; Bohan Zhou; Changbo Zhu; Xiaohui Chen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimal transport; Wasserstein barycenter; concave dual; gradient ascent
4385	Soft Quality-Diversity Optimization Authors: Saeed Hedayatian; Stefanos Nikolaidis Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Quality Diversity Optimization
4386	Solving the 2-norm k-hyperplane clustering problem via multi-norm formulations Authors: Stefano Coniglio Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; spatial branch-and-bound; clustering
4387	Special Unitary Parameterized Estimators of Rotation Authors: Akshay Chandrasekhar Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; special unitary; rotation estimation; quaternion; learning rotations; machine learning; Wahba's Problem
4388	StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models Authors: Chenyu Zhou; Tianyi Xu; Jianghao Lin; Dongdong Ge Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Large Language Models; Operations Research; Self-Evolving Framework; Generative Process Supervision
4389	Strong Correlations Induce Cause Only Predictions in Transformer Training Authors: Haihan Zhang; Yimu Zhang; Cong Fang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Implicit bias; Transformers; Optimization; Causal robustness prediction
4390	Strongly Convex Sets in Riemannian Manifolds Authors: Damien Scieur; David Martínez-Rubio; Thomas Kerdreux; Alexandre d'Aspremont; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Strong convexity; Riemannian; Manifold; Frank-Wolfe; optimization; nonconvex
4391	Sublinear Time Quantum Algorithm for Attention Approximation Authors: Zhao Song; Jianfei Xue; Jiahao Zhang; Lichen Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: quantum computing; attention approximation; numerical linear algebra
4392	Submodular Function Minimization with Dueling Oracle Authors: Kaien Sho; Shinji Ito Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: submodular minimization; deling oracle; preference-based optimization
4393	T-TAMER: Provably Taming Trade-offs in ML Serving Authors: Yuanyuan Chloe Yang; Ruimin Zhang; Jamie Heather Morgenstern; Haifeng Xu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Cascaded Inference; Early-Exit Models; Multi-Model Serving; Provable Optimality
4394	The Potential of Second-Order Optimization for LLMs: A Study with Full Gauss-Newton Authors: Natalie Abreu; Nikhil Vyas; Sham M. Kakade; Depen Morwani Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: LLMs; optimization
4395	The Power of Small Initialization in Noisy Low-Tubal-Rank Tensor Recovery Authors: Zhiyu Liu; Haobo Geng; Xudong Wang; Yandong Tang; Zhi Han; Yao Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: low-tubal-rank tensor recovery; t-SVD; t-product; over-parameterization; non-convex
4396	Three Forward, One Backward: Memory-Efficient Full-Rank Fine-Tuning of Large Models via Extra Forward Passes Authors: Jia Zhang; Yu Bai; Hualin Zhang; Tianshuo Chen; Zhaogeng Liu; zhiqiang xu; Yi Chang; Bin Gu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: "LLM tuning"; "LoRA"; "Zeroth order"
4397	Tighter Performance Theory of FedExProx Authors: Wojciech Anyszka; Kaja Gruntkowska; Alexander Tyurin; Peter Richtárik Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: distributed optimization; extrapolation
4398	Towards Dynamic Interleaving Optimizers Authors: Yile Chen; Zeyi Wen; Jian Chen; Jin Huang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: HPO; optimizer
4399	Towards Efficient Constraint Handling in Neural Solvers for Routing Problems Authors: Jieyi Bi; Zhiguang Cao; Jianan Zhou; Wen Song; Yaoxin Wu; Jie Zhang; Yining Ma; Cathy Wu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Routing Problems; Deep Reinforcement Learning; Constraint Handling; Combinatorial Optimization
4400	Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension Authors: Wenbo Gong; Meyer Scetbon; Chao Ma; Edward Meeds Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; LLM training; memory efficiency
4401	Towards Safe and Optimal Online Bidding: A Modular Look-ahead Lyapunov Framework Authors: Hengquan Guo; Haobo Zhang; Junwei Pan; Shudong Huang; Nianhua Xie; Lei Xiao; Haijie Gu; Jie Jiang; Xin Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: online bidding; budget constraints; ROI constraints; Lyapunov optimization
4402	Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization Authors: Chengli Tan; Yubo Zhou; Haishan Ye; Guang Dai; Junmin Liu; Zengjie Song; Jiangshe Zhang; Zixiang Zhao; Yunda Hao; Yong Xu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: deep neural networks; stochastic gradient descent; sharpness-aware minimization
4403	Training Dynamics Impact Post-Training Quantization Robustness Authors: Albert Catalan-Tatjer; Niccolò Ajroldi; Jonas Geiping Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Efficiency; quantization; optimization
4404	Trion: FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of LLMs Authors: Ionut-Vlad Modoranu; Mher Safaryan; Erik Schultheis; Max Ryabinin; Artem Chumachenko; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: low-rank optimization; fast fourier transform; computational efficiency; memory efficiency; efficient optimization; large language models
4405	TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate Authors: Amir Zandieh; Majid Daliri; Majid Hadian; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Vector Quantization; KV Cache Compression; Nearest Neighbor Search; Similarity Search Acceleration; Online Compression Algorithms
4406	Understanding and improving Shampoo and SOAP via Kullback-Leibler Minimization Authors: Wu Lin; Scott C. Lowe; Felix Dangel; Runa Eschenhagen; Zikun Xu; Roger Baker Grosse Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Shampoo; SOAP; covariance estimation; Kullback–Leibler divergence; Gaussian; optimization
4407	Unified Analyses for Hierarchical Federated Learning: Topology Selection under Data Heterogeneity Authors: Ziyi Zhou; Yipeng Li; Xinchen Lyu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Hierarchical Federated Learning; Convergence Analysis; Heterogeneous Data
4408	Unlocking the Potential of Weighting Methods in Federated Learning Through Communication Compression Authors: Valery Parfenov; Nail Bashirov; Daniil Medyakov; Dmitry Bylinkin; Aleksandr Beznosikov Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Convex optimization; Compression; Stochastic optimization
4409	ViTSP: A Vision Language Models Guided Framework for Solving Large-Scale Traveling Salesman Problems Authors: Zhuoli Yin; Yi Ding; Reem Khir; Hua Cai Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Machine Learning; Large Language Model; Traveling Salesman Problem; Combinatorial Optimization
4410	Vision-Zero: Scalable VLM Self-Evolution via Multi-Agent Self-Play Authors: Qinsi Wang; Bo Liu; Tianyi Zhou; Jing Shi; Yueqian Lin; Yiran Chen; Hai Helen Li; Kun Wan; Wentian Zhao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Language Gamification; Post-Training; Vision–Language Models; Self-Play Optimization
4411	A Dense Subset Index for Collective Query Coverage Authors: Kartik Nair; Pritish Chakraborty; Atharva Abhijit Tambat; Indradyumna Roy; Soumen Chakrabarti; Anirban Dasgupta; Abir De Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: collective retrieval; subset search; submodular functions; none of the above)
4412	AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models Authors: Apurba Prasad Padhy; Fernando F. Camacho; Saibal Mukhopadhyay Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: State Space Models; Pruning; Impulse Response; S5; State Pruning; none of the above)
4413	AQER: A Scalable and Efficient Data Loader for Digital Quantum Computers Authors: Kaining Zhang; Xinbiao Wang; Yuxuan Du; Min-Hsiu Hsieh; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: quantum data loading; none of the above)
4414	Accelerating Inference for Multilayer Neural Networks with Quantum Computers Authors: Arthur G. Rattew; Po-Wei Huang; Naixu Guo; Lirandë Pira; Patrick Rebentrost Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: quantum machine learning; QML; quantum algorithms; quantum deep learning; quantum computing; none of the above)
4415	Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models Authors: Yunzhong Qiu; Zhiyao Cen; Zhongyi Pei; Chen Wang; Jianmin Wang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: time series foundation models; transformation optimization; time series forecasting; none of the above)
4416	Adaptive Conformal Guidance for Learning under Uncertainty Authors: Rui Liu; Peng Gao; Yu Shen; Ming Lin; Pratap Tokekar Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Conformal Prediction; Learning under Uncertainty; Learning with Guidance; none of the above)
4417	Adaptive Hopfield Network: Rethinking Similarities in Associative Memory Authors: Shurong Wang; Yuqi Pan; Zhuoyang Shen; Meng Zhang; Hongwei Wang; Guoqi Li Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: similarity measure; associative memory; Hopfield network; none of the above)
4418	Adversarial Encoding Perturbation and Synthesis for Set Representation Auxiliary Learning Authors: Yankai Chen; Xinni Zhang; Henry Peng Zou; Bowei He; Yangning Li; Philip S. Yu; Irwin King; Xue Liu Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Set Representation Learning; Auxiliary Learning; Adversarial Encoding Perturbation; none of the above)
4419	Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets Authors: Aaryan Gupta; Rishi Saket; Aravindan Raghuveer Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: dataset distillation; supervised learning; offline RL; learning theory; none of the above)
4420	AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration Authors: Binqi Chen; Hongjun Ding; Ning Shen; Taian Guo; Jinsheng Huang; Luchen Liu; Ming Zhang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Alpha Mining; Generative Flow Networks; none of the above)
4421	AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs Authors: Gunho Park; Jeongin Bae; Beomseok Kwon; Byeongwook Kim; Se Jung Kwon; Dongsoo Lee Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: LLM; Quantization; Anyprecision; none of the above)
4422	BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization Authors: Iris Xu; Guangtao Zeng; Zexue He; Charles Jin; Aldo Pareja; Dan Gutfreund; Chuang Gan; Zhang-Wei Hong Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Multi-armed bandit; Model selection; Software engineering; none of the above)
4423	Bandits with Single-Peaked Preferences and Limited Resources Authors: Omer Ben-Porat; Gur Keinan; Rotem Torkan Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: social choice; single-peaked; preferences; bandits; matching; none of the above)
4424	Batch Pruning by Activation Stability Authors: Md Mustakin Alam; Shaker Islam; Aminul Islam Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Batch Pruning; Activation Stability; Neural Network; Activation; Deep Learning; none of the above)
4425	Bayesian Evidence-Driven Prototype Evolution for Federated Domain Adaptation Authors: Xiaoyang Yi; Li Peng; Yuru Bao; Jian Zhang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Federated Learning; Domain Adaptation; none of the above)
4426	Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMs Authors: Shulin Huang; Yiran Ding; Junshu Pan; Yue Zhang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Reasoning; Generalization; Reinforcement Learning; Multilingual; none of the above)
4427	Beyond Uniformity: Regularizing Implicit Neural Representations through a Lipschitz Lens Authors: Julian McGinnis; Suprosanna Shit; Florian A. Hölzl; Paul Friedrich; Paul Büschl; Vasiliki Sideri-Lampretsa; Mark Mühlau; Philippe C. Cattin; Bjoern Menze; Daniel Rueckert; Benedik… Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Implicit Neural Representations; Neural Fields; Lipschitz; Regularization; none of the above)
4428	Beyond Uniformity: Sample and Frequency Meta Weighting for Post-Training Quantization of Diffusion Models Authors: Cuong Pham; Dung Anh Hoang; Cuong C. Nguyen; Trung Le; Dinh Phung; Gustavo Carneiro; Thanh-Toan Do Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Post-training Quantization; Diffusion Models; none of the above)
4429	Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers Authors: Xuanhao Pan; Chenguang Wang; Chaolong Ying; Ye XUE; Tianshu Yu Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Travelling Salesman Problem; Heatmap; Monte Carlo Tree Search; Combinatorial optimization; none of the above)
4430	Bi-Criteria Metric Distortion Authors: Kiarash Banihashem; Diptarka Chakraborty; Shayan Chashm Jahan; Iman Gholami; MohammadTaghi Hajiaghayi; Mohammad Mahdavi; Max Springer Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Social Choice Theory; Metric Distortion; none of the above)
4431	Boosted Trees on a Diet: Compact Models for Resource-Constrained Devices Authors: Nina Herrmann; Jan Stenkamp; Benjamin Karic; Stefan Oehmcke; Fabian Gieseke Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: TinyML; Boosting; Decision Trees; Microcontrollers; IoT; none of the above)
4432	Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based Regressors Authors: Jingquan Yan; Yuwei Miao; Peiran Yu; Junzhou Huang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Attention Mechanisms; Joint Optimization; Pearson Correlation; Data Homogeneity; none of the above)
4433	Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative Models Authors: Ziru Niu; Hai Dong; A. K. Qin Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Federated Learning; Model Heterogeneity; none of the above)
4434	C-Evolve: Consensus-based Evolution for Prompt Groups Authors: Tiancheng Li; Yuhang Wang; Zhiyang Chen; Zijun Wang; Liyuan Ma; Guo-Jun Qi Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Consensus-based Evolution; evolutionary algorithm; majority voting; none of the above)
4435	CAR-LoRA: Training Compression-Aware and Robust LoRA Adapters for Evolving LLMs Authors: Rana Shahroz; Zhen Tan; Ruichen Zhang; Hua Wei; Tianlong Chen; Charles Fleming Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Low Rank Adaptation; Edge Devices; Quantization; Compression; Efficient Fine-tuning; none of the above)
4436	Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks Authors: Damien Teney; Liangze Jiang; Hemanth Saratchandran; Simon Lucey Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Transformers; language models; inductive biases; length generalization; activation functions; none of the above)
4437	Chessformer: A Unified Architecture for Chess Modeling Authors: Daniel Monroe; George Eilender; Philip Chalmers; Zhenwei Tang; Ashton Anderson Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Transformers; Interpretability; Human-Aligned AI; Chess; Action Prediction; none of the above)
4438	CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential Recommendation Authors: Jingyu Li; Zhaocheng Du; Qianhui Zhu; kaiyuan Li; Zhicheng Zhang; Song-Li Wu; Chaolang Li; Pengwen Dai Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: KV cache; Sequential recommendation; none of the above)
4439	Combination-of-Experts with Knowledge Sharing for Cross-Task Vehicle Routing Problems Authors: Zikang Yu; Jinbiao Chen; Jiahai Wang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: neural combinatorial optimization; vehicle routing problem; cross-task generalization; combination-of-experts; none of the above)
4440	Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR Benchmarks Authors: Minjeong Ban; Jeonghwan Choi; Hyangsuk Min; Nicole Hee-Yeon Kim; Minseok Kim; Jae-Gil Lee; Hwanjun Song Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Information Retrieval; Relevant Assessment; Benchmark; none of the above)
4441	Composable Sparse Subnetworks via Maximum-Entropy Principle Authors: Francesco Caso; Samuele Fonio; Simone Monaco; Nicola Saccomanno; Fabrizio Silvestri Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Maximum Entropy Principle; Iterative Magnitude Pruning; Circuits; Modular Neural Networks; none of the above)
4442	Conditioned Initialization for Attention Authors: Hemanth Saratchandran; Simon Lucey Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: spectral conditioning transformers; spectral properties of attention; none of the above)
4443	ContextNav: Towards Agentic Multimodal In-Context Learning Authors: Honghao Fu; Yuan Ouyang; Kai-Wei Chang; Yiwei Wang; Zi Huang; Yujun Cai Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: agent system; in-context learning; none of the above)
4444	Continual Low-Rank Adapters for LLM-based Generative Recommender Systems Authors: Hyunsik Yoo; Ting-Wei Li; SeongKu Kang; Zhining Liu; Charlie Xu; Qilin Qi; Hanghang Tong Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: LLM-based generative recommender; continual learning; low-rank adapters; none of the above)
4445	Convergence Analysis of Tsetlin Machines under Noise-Free and Noisy Training Conditions: From $2$ Bits to $k$ Bits Authors: Xuan Zhang; Lei Jiao; Ole-Christoffer Granmo Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Tsetlin Automata; Propositional Logic; Tsetlin Machine; Convergence Analysis; none of the above)
4446	Covariate-Guided Clusterwise Linear Regression for Generalization to Unseen Data Authors: Dohyun Bu; Hyunho Kim; Jong-Seok Lee Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Clusterwise Linear Regression (CLR); Covariate-Guided Assignment; Proxy Network; Vector Quantization; Convergence Guarantee; none of the above)
4447	DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS Authors: Yingxu Wang; Shiqi Fan; Mengzhu Wang; Siyang Gao; Chao Wang; Nan Yin Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Knowledge Graphs; Question Answering; LLMs; none of the above)
4448	Decoupling the Class Label and the Target Concept in Machine Unlearning Authors: Jianing Zhu; Bo Han; Jiangchao Yao; Jianliang Xu; Gang Niu; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Machine Unlearning; Label Domain Mismatch; none of the above)
4449	Deep Hierarchical Learning with Nested Subspace Networks for Large Language Models Authors: Paulius Rauba; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: dynamic neural networks; efficient inference; adaptive computing; deep learning; low-rank adaptation; none of the above)
4450	Delving into Spectral Clustering with Vision-Language Representations Authors: Bo Peng; Yuanwei Hu; Bo Liu; Ling Chen; Jie Lu; Zhen Fang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Spectral Clustering; Vision-Language Models; Neural Tangent Kernel; none of the above)
4451	Denoising Neural Reranker for Recommender Systems Authors: Wenyu Mao; Shuchang Liu; HailanYang; Xiaobei Wang; Xiaoyu Yang; Xu Gao; Xiang Li; Lantao Hu; Han Li; Kun Gai; An Zhang; Xiang Wang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Multi-stage Recommenders; Reranking Model; Adversarial Learning; none of the above)
4452	Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach Authors: Yuhao Zhou; Jindi Lv; Yuxin Tian; Dan Si; Qing Ye; Jiancheng Lv Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: hypernetwork; federated learning; none of the above)
4453	Designing Rules to Pick a Rule: Aggregation by Consistency Authors: Ratip Emin Berker; Ben Armstrong; Vincent Conitzer; Nihar B Shah Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: rank aggregation; rule picking rules; consistency; none of the above)
4454	Divide, Harmonize, Then Conquer It: Shooting Multi-Commodity Flow Problems with Multimodal Language Models Authors: Xinyu Yuan; Yan Qiao; Zonghui Wang; Wenzhi CHEN Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Multi-Commodity Flow; Multimodal Language Models; Resource Allocation; none of the above)
4455	Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models Authors: Dang Nguyen; Jiping Li; Jinghao Zheng; Baharan Mirzasoleiman Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Synthetic data generation; Image augmentation; Diffusion models; none of the above)
4456	Do We Really Need Permutations? Impact of Model Width on Linear Mode Connectivity Authors: Akira Ito; Masanori Yamada; Daiki Chijiwa; Atsutoshi Kumagai Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: deep learning; linear mode connectivity; permutation symmetries; none of the above)
4457	ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework Authors: Yusong Wang; Chuang Yang; Jiawei Wang; Xiaohang Xu; Jiayi Xu; Dongyuan Li; Chuan Xiao; Renhe Jiang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Human Mobility Generation; Large Language Models; Event-Driven Mobility; Urban Computing; none of the above)
4458	Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits Authors: Mengmeng Li; Philipp J. Schneider; Jelisaveta Aleksic; Daniel Kuhn Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: best-of-both-worlds; combinatorial semi-bandits; follow-the-regularized-leader; none of the above)
4459	Efficient Message-Passing Transformer for Error Correcting Codes Authors: Seong-Joon Park; Taewoo Park; Hee-Youl Kwak; Sang-Hyo Kim; Yongjune Kim; Jong-Seon No Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Channel coding; Error correcting codes; Transformer-based decoder; Message-passing decoder; Neural decoder; Transformer; Efficient attention module; none of th…
4460	Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Authors: Manish Acharya; David Hyde Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Sliced Wasserstein Distance; Wasserstein Distance; Bayesian Optimization; Bayesian Quadrature; Quasi-Monte Carlo; none of the above)
4461	Energy-Efficient Random Variate Generation via Compressed Lookup Tables Authors: Johann Ukrow; Anna Kazachkova; Nicolas Alder; Sven Köhler; Rainer Schlosser; Ralf Herbrich Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: energy-efficiency; sampling; none of the above)
4462	Enhancing Learning with Noisy Labels via Rockafellian Relaxation Authors: Louis Chen; Bobbie Chern; Eric Eckstrand; Amogh Mahapatra; Johannes O. Royset Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Noisy Labels; Loss-reweighting; Neural Networks; none of the above)
4463	Epistemic Uncertainty Quantification To Improve Decisions From Black-Box Models Authors: Sébastien Melo; Gaël Varoquaux; Marine Le Morvan Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Epistemic uncertainty; Excess risk; Uncertainty quantification; Aleatoric; LLM; Deferral; Calibration; none of the above)
4464	Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement Authors: Chengrui Gao; Yunqi Shi; Ke Xue; Ruo-Tong Chen; Siyuan Xu; Mingxuan Yuan; Chao Qian; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Chip Placement; Reinforcement Learning; none of the above)
4465	Exploring State-Space Models for Data-Specific Neural Representations Authors: Jinsung Lee; Suha Kwak Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: state-space model; none of the above)
4466	E²LoRA: Efficient and Effective Low-Rank Adaptation with Entropy-Guided Adaptive Sharing Authors: Minglei Li; Peng Ye; Jingqi Ye; haonan he; Tao Chen Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: LoRA; PEFT; none of the above)
4467	Fairness-Aware Multi-view Evidential Learning with Adaptive Prior Authors: Haishun Chen; Cai Xu; Jinlong Yu; Yilin Zhang; Ziyu Guan; Wei Zhao; Fangyuan Zhao; Xin Yang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: multi-view evidential learning; uncertainty estimation; none of the above)
4468	Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances Authors: Khai Nguyen; Hai Nguyen; Nhat Ho Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Optimal Transport; Wasserstein distance; Sliced Wasserstein distance; Regression; none of the above)
4469	FedDAG: Clustered Federated Learning via Global Data and Gradient Integration for Heterogeneous Environments Authors: Anik Pramanik; Murat Kantarcioglu; Vincent Oria; Shantanu Sharma Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Federated Learning; Clustering; Distributed Machine Learning; none of the above)
4470	Fewer Battles, More Gain: An Information-Efficient Framework for Arena-based LLM Evaluation Authors: Zirui Liu; Xianquan Wang; Yan Zhuang; Jiatong Li; Qi Liu; Shuanghong Shen; Mingyue Cheng; Shijin Wang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: LLM Evaluation; Chatbot Arena; Efficient Evaluation; none of the above)
4471	GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings Authors: Yixuan Tang; Yi Yang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Embedding Model; Domain Adaptation; Domain Pruning; none of the above)
4472	GRO-RAG: Gradient-aware Re-rank Optimization for Multi-source Retrieval-Augmented Generation Authors: Siyuan Chen; Hang Ding; Kangxiaoyu; Jiechao Gao Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; LLM; none of the above)
4473	GoalRank: Group-Relative Optimization for a Large Ranking Model Authors: Kaike Zhang; Xiaobei Wang; Shuchang Liu; HailanYang; Xiang Li; Lantao Hu; Han Li; Qi Cao; Fei Sun; Kun Gai Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Recommender System; Re-ranking; Large Ranking Model; Group-Relative Optimization; none of the above)
4474	GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection Authors: Mariia Seleznova; Hung-Hsu Chou; Claudio Mayrink Verdun; Gitta Kutyniok Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Out-of-Distribution (OOD) detection; Neural Tangent Kernel (NTK); none of the above)
4475	GradPruner: Gradient-guided Layer Pruning Enabling Efficient Fine-Tuning and Inference for LLMs Authors: Wei Huang; Anda Cheng; Yinggui Wang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: LLM Fine-Tuning; Layer Pruning; none of the above)
4476	Gradient Intrinsic Dimensionality Alignment：Narrowing The Gap Between Low-Rank Adaptation and Full Fine-Tuning Authors: Jingqi Ye; haonan he; Minglei Li; Fujun Han; Tao Chen; Peng Ye Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: PEFT; LoRA; Gradient Intrinsic Dimension; Adaptive Alignment; none of the above)
4477	Gradient-Based Diversity Optimization with Differentiable Top-$k$ Objective Authors: Tianyi Zhou; Sebastian Dalleiger; Ece Calikus; Aristides Gionis Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Diversity Optimization; Gradient-based learning; Recommendation; none of the above)
4478	Gradient-Direction-Aware Density Control for 3D Gaussian Splatting Authors: Zheng Zhou; Yu-Jie Xiong; Jia-Chen Zhang; Chun-Ming Xia; Xihe Qiu; Hongjian Zhan Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Novel View Synthesis; 3D Gaussian Splatting; Point-based Radiance Field; 3D reconstruction; none of the above)
4479	HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space Authors: Ke Li; Zheng Yang; Zhongbin Zhou; Xuefeng; Zhonglin Jiang; Wenxiao Wang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Pruning; MoE; none of the above)
4480	ICYM$^2$I: The illusion of multimodal informativeness under missingness Authors: Young Sang Choi; Vincent Jeanselme; Pierre Elias; Shalmali Joshi Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Multimodal learning; Distribution shifts; Missingness; none of the above)
4481	ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference Authors: Sunghyeon Woo; Jaeeun Kil; Hoseung Kim; Minsub Kim; Joonghoon Kim; Ahreum Seo; Sungjae Lee; Minjung Jo; Jiwon Ryu; Baeseong park; Se Jung Kwon; Dongsoo Lee Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: multi model inference; agentic ai; prefix caching; fine-tuning; none of the above)
4482	Inconsistency Biases in Dynamic Data Pruning Authors: Qing Zhou; Tao Yang; Bingxuan Zhao; Hongyuan Zhang; Junyu Gao; Qi Wang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: dynamic data pruning; efficient training; none of the above)
4483	Infinite Horizon Markov Economies Authors: Denizalp Goktas; Sadie Zhao; Yiling Chen; Amy Greenwald Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Algorithmic game theory; Equilibrium computation; Markov pseudo-games; Markov exchange economies; none of the above)
4484	Information Estimation with Discrete Diffusion Authors: Alberto Foresti; Giulio Franzese; Pietro Michiardi Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Information Theory; Deep Learning; none of the above)
4485	Initialization Schemes for Kolmogorov–Arnold Networks: An Empirical Study Authors: Spyros Rigas; Dhruv Verma; Georgios Alexandridis; Yixuan Wang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Kolmogorov-Arnold networks; weight initialization; NTK; Function Fitting; PDEs; none of the above)
4486	Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning Authors: Ziqing Fan; Yuqiao Xian; Yan Sun; Ke Shen; Li Shen Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: LLM pre-training; data selection; mask learning; none of the above)
4487	Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus Authors: Jason Han; Nicholas S. DiBrita; Daniel Leeds; Jianqiang Li; Jason Ludmir; Tirthak Patel Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Federated Learning; Heterogeneity; Quantum; none of the above)
4488	Lean Finder: Semantic Search for Mathlib That Understands User Intents Authors: Jialin Lu; Kye Emond; Kaiyu Yang; Swarat Chaudhuri; Weiran Sun; Wuyang Chen Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Lean; mathlib; code search; informalization; none of the above)
4489	Learning Admissible Heuristics for A*: Theory and Practice Authors: Ehsan Futuhi; Nathan R. Sturtevant Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Admissible Heuristics; A* Search Algorithm; Optimal search; Generalization Guarantees; Rubik’s Cube; none of the above)
4490	Learning Semi-Structured Sparsity for LLMs via Shared and Context-Aware Hypernetwork Authors: Lu Sun; Jun Sakuma Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: LLM pruning; semi-structured sparsity; hypernetwork; continual learning; none of the above)
4491	LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning Authors: Nurbek Tastan; Stefanos Laskaridis; Martin Takáč; Karthik Nandakumar; Samuel Horváth Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: parameter-efficient fine-tuning; low-rank adaptation; llms; large models; none of the above)
4492	Lookup multivariate Kolmogorov-Arnold Networks Authors: Sergey Pozdnyakov; Philippe Schwaller Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: KAN; inference efficiency; CUDA kernels; none of the above)
4493	Machine Unlearning under Retain–Forget Entanglement Authors: Jingpu Cheng; Ping Liu; Qianxiao Li; CHI ZHANG Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Machine Unlearning; Constrained Optimization; none of the above)
4494	MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs Authors: Yan Sun; Qixin Zhang; Zhiyuan Yu; Xikun Zhang; Li Shen; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Semi-structured sparsity; Policy gradient learning; Probabilistic Relaxation; none of the above)
4495	Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders Authors: Zhimin Chen; Chenyu Zhao; Ka Chun Mo; Yunjiang Jiang; Jane H. Lee; Khushhall Chandra Mahajan; Ning Jiang; Kai Ren; Charlie Li; Wen-Yun Yang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: sequential recommendation systems; generative recommendation; production-scale data; user interaction history; none of the above)
4496	Measuring Uncertainty Calibration Authors: Kamil Ciosek; Nicolò Felicioni; Sina Ghiassian; Juan Elenter; Francesco Tonolini; David Gustafsson; Eva Garcia-Martin; Carmen Barcena Gonzalez; Raphaëlle Bertrand-Lalo Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: calibration; classification; none of the above)
4497	MetaMuse: Algorithm Generation via Creative Ideation Authors: Ruiying Ma; Chieh-Jan Mike Liang; Yanjie Gao; Francis Y. Yan Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: system algorithm design; creativity; ideation; self-reflection; none of the above)
4498	MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models Authors: Wenyuan Liu; Haoqian Meng; Yilun Luo; Peng Zhang; Xindian Ma Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Mixed-precision Quantization; Microscaling Formats; Post-training Quantization; Large Language Models; none of the above)
4499	Minimax-Optimal Aggregation for Density Ratio Estimation Authors: Lukas Gruber; Markus Holzleitner; Sepp Hochreiter; Werner Zellinger Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Density Ratio Estimation; Self-Concordance; Kernel Methods; Domain Adaptation; none of the above)
4500	Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity Authors: Yide Ran; Wentao Guo; Jingwei Sun; Yanzhou Pan; Xiaodong Yu; Hao Wang; Jianwen Xie; Yiran Chen; Denghui Zhang; Zhaozhuo Xu Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Sparse Zeroth-Order Optimization; Federate Learning; none of the above)
4501	Mitigating Privacy Risk via Forget Set-Free Unlearning Authors: Aviraj Newatia; Michael Cooper; Viet Nguyen; Rahul G Krishnan Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: machine learning; unlearning; privacy; corrective unlearning; deep learning; risks; approximate unlearning; empirical; none of the above)
4502	MoRA: Mobility as the Backbone for Geospatial Representation Learning at Scale Authors: Ya Wen; Jixuan Cai; Qiyao Ma; Linyan Li; Xinhuan Chen; Chris Webster; Yulun Zhou Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: GeoAI; spatial representation learning; location embedding; multi-modal; contrastive learning; none of the above)
4503	Multiple-Prediction-Powered Inference Authors: Charlie Cowen-Breen; Alekh Agarwal; Stephen Bates; William W. Cohen; Jacob Eisenstein; Amir Globerson; Adam Fisch Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Prediction-powered inference; Statistical estimation; Model evaluation; LLM as judge; PPI; none of the above)
4504	Navigating the Accuracy-Size Trade-Off with Flexible Model Merging Authors: Akash Dhasade; Divyansh Jhunjhunwala; Milos Vujasinovic; Gauri Joshi; Anne-Marie Kermarrec Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Model Merging; Model Fusion; Task Arithmetic; Multi-task Learning; none of the above)
4505	On Coreset for LASSO Regression Problem with Sensitivity Sampling Authors: YuanBin Zou; Junyu Huang; Jianxin Wang; Qilong Feng Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: LASSO regression; sampling algorithm; none of the above)
4506	On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets Authors: Giannis Nikolentzos; Konstantinos Skianis Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: set aggregation functions; Lipschitz continuity; stability; none of the above)
4507	OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework Authors: Chenhan Jin; Shengze Xu; Qingsong Wang; Fan JIA; Dingshuo Chen; Tieyong Zeng Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Dynamic Data Pruning; Training acceleration; Convergence Analysis; Bias Analysis; none of the above)
4508	Otters: An Energy-Efficient Spiking Transformer via Optical Time-to-First-Spike Encoding Authors: Zhanglu Yan; Jiayi Mao; Qianhui Liu; Fanfan Li; Tao Luo; Gang Pan; Bowen Zhu; Weng-Fai Wong Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Spiking neural network; Energy efficient; Time-to-First-Spike Encoding; Optoelectronic Synapse; none of the above)
4509	PERSISTENCE SPHERES: BI-CONTINUOUS REPRESENTATIONS OF PERSISTENCE DIAGRAMS. Authors: Matteo Pegoraro Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: topological data analysis; topological machine learning; linearization; lift zonoid; none of the above)
4510	PSP: Prompt-Guided Self-Training Sampling Policy for Active Prompt Learning Authors: Sen Tao; Kaiduo Feng; Jiawei Liu; Peng Zeng; Yongchao Xu; Yufei Zheng; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Active Prompt Learning; Reinforcement Learning; CLIP; none of the above)
4511	Parameterized Hardness of Zonotope Containment and Neural Network Verification Authors: Vincent Froese; Moritz Leo Grillo; Christoph Hertrich; Moritz Stargalla Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Parameterized Complexity; Exponential Time Hypothesis; Norm Maximization; Polyhedral Geometry; none of the above)
4512	Post-Training Quantization for Video Matting Authors: Tianrui Zhu; Houyuan Chen; Ruihao Gong; Michele Magno; Haotong Qin; Kai Zhang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Post-Training Quantization; Video Matting; none of the above)
4513	Probability Distributions Computed by Autoregressive Transformers Authors: Andy Yang; Anej Svete; Jiaoda Li; Anthony Widjaja Lin; Jonathan Rawski; Ryan Cotterell; David Chiang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: expressivity; weighted automata; language models; transformers; linear temporal logic; none of the above)
4514	Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models Authors: Xuan Ding; Pengyu Tong; Ranjie Duan; Yunjian Zhang; Rui Sun; Yao Zhu Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Layer-wise Pruning; Cooperative Game Theory; Shapley Value Approximation; none of the above)
4515	Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification Authors: Weihao Zeng; Keqing He; Chuqiao Kuang; Xiaoguang Li; Junxian He Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: agentic search; test-time scaling; asymmetric verification; none of the above)
4516	Q&C: When Quantization Meets Cache in Efficient Generation Authors: Xin Ding; Xin Li; Haotong Qin; Zhibo Chen Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: diffusion model; visual generation models; cache; none of the above)
4517	QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models Authors: Hyesung Jeon; Seojune Lee; Beomseok Kang; Yulhwa Kim; Jae-Joon Kim Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: quantization; parameter efficient fine-tuning; sparse adapter; walsh-hadamard transform; none of the above)
4518	Qronos: Correcting the Past by Shaping the Future… in Post-Training Quantization Authors: Shihao Zhang; Haoyu Zhang; Ian Colbert; Rayan Saab Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Post Training Quantization; Large Language Models; Foundation Models; Efficient Machine Learning; none of the above)
4519	R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability Authors: Runyu Lu; Ruochuan Shi; Yuanheng Zhu; Dongbin Zhao Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: pursuit-evasion game; partial observability; dynamic programming; belief preservation; reinforcement learning; real-time pursuit strategy; worst-case robustnes…
4520	RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers Authors: Md Zesun Ahmed Mia; Malyaban Bal; Abhronil Sengupta Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Brain-inspired machine learning; Astromorphic transformers; Short-term Plasticity; Long-term PLasticity; Long-context sequence modeling; none of the above)
4521	RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation Authors: Jane Luo; Xin Zhang; Steven Liu; Jie Wu; Jianfeng Liu; Yiming Huang; Yangyu Huang; Chengyu Yin; Ying Xin; Yuefeng Zhan; Hao Sun; Qi Chen; Scarlett Li; Mao Yang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: planning; repository generation; agent; code generation; none of the above)
4522	Random Label Prediction Heads for Studying Memorization in Deep Neural Networks Authors: Marlon Becker; Jonas Konrad; Luis Garcia Rodriguez; Benjamin Risse Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Memorization; Random Labels; Overfitting; Generalization; Regularization; none of the above)
4523	Randomization Boosts KV Caching, Learning Balances Query Load: A Joint Perspective Authors: Fangzhou Wu; Sandeep Silwal; Qiuyi Zhang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: KV Cache; Prefix Sharing; LRU; Large Language Models; LLM Routing; KV Cache Eviction; Multi-LLM Serving; none of the above)
4524	Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning Authors: Ziwen Liu; Huawei Lin; Yide Ran; Denghui Zhang; Jianwen Xie; Chuan Li; Weijie Zhao; Zhaozhuo Xu Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Unlearning; Randomized Algorithms; none of the above)
4525	Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data Authors: Stefan Schoepf; Michael Curtis Mozer; Nicole Elyse Mitchell; Alexandra Brintrup; Georgios Kaissis; Peter Kairouz; Eleni Triantafillou Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: machine unlearning; corrupted data; data poisoning; none of the above)
4526	Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems Authors: Zhangchi Zhu; Wei Zhang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Knowledge Distillation; Recommender System; Model Compression; Cross-Entropy; none of the above)
4527	Remaining-data-free Machine Unlearning by Suppressing Sample Contribution Authors: Xinwen Cheng; Zhehao Huang; Wenxing Zhou; Zhengbao He; Ruikai Yang; Yingwen Wu; Xiaolin Huang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Machine Unlearning; none of the above)
4528	Rethinking Code Similarity for Automated Algorithm Design with LLMs Authors: Rui Zhang; Zhichao Lu Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Algorithm Similarity; Automated Algorithm Design; Large Language Model; none of the above)
4529	Revisiting Active Sequential Prediction-Powered Mean Estimation Authors: Maria-Eleni Sfyraki; Jun-Kun Wang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: active statistical inference; mean estimation; no-regret learning; none of the above)
4530	Robust Federated Inference Authors: Akash Dhasade; Sadegh Farhadkhani; Rachid Guerraoui; Nirupam Gupta; Maxime Jacovella; Anne-Marie Kermarrec; Rafael Pinot Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Collaborative Inference; Robust Ensembles; Federated Ensembles; none of the above)
4531	Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis Authors: Liu Peng; Yaochu Jin Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: data quality; probabilistic model; multi-perspective analysis; none of the above)
4532	SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning Authors: Momin Ahmad Khan; Yasra Chandio; Fatima M. Anwar Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Federated Learning; Poisoning Attacks; Multimodal Learning; none of the above)
4533	SK2Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin Authors: Hanzhuo Tan; Weihao Li; Xiaolong Tian; Siyi Wang; Jiaming Liu; Jing Li; Yuqun Zhang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: decompilation; binary analysis; none of the above)
4534	SSDi8: Accurate and Efficient 8-bit Quantization for State Space Duality Authors: Hyunwoo Kim; Byoungchan Ko; Minseok Kang; Minwoo Kim; Dongjin Lee; Jaehoon Lee; Sungroh Yoon; Dahuin Jung Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Mamba-2; State Space Duality (SSD); Quantization; none of the above)
4535	STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization Authors: Marco Federici; Riccardo Del Chiaro; Boris van Breugel; Paul N. Whatmough; Markus Nagel Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Quantization; Efficient Deep Learning; Activation Quantization; none of the above)
4536	Scalable and Adaptive Trust-Region Learning via Projection Convex Hull Authors: Hongyang Jia; Qingchun Hou; Bojun Du; Xiao Cai; Ning Zhang; Chongqing Kang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Convex hull learning; boundary-tight separation; scalable polyhedral separation; constraint learning; none of the above)
4537	Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining Authors: Anirudh Subramanyam; Yuxin Chen; Robert L. Grossman Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: quality ware scaling laws; scaling laws; data quality; LLM pretraining; none of the above)
4538	Slicing Wasserstein over Wasserstein via Functional Optimal Transport Authors: Moritz Piening; Robert Beinert Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Optimal Transport; Sliced Wasserstein; Dataset Distances; Wasserstein; Function Spaces; Infinite-dimensional; none of the above)
4539	Some Neural Networks Inherently Preserve Subspace Clustering Structure Authors: Karan Vikyath Veeranna Rupashree; Siddharth Baskar; Daniel L. Pimentel-Alarcón Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Clustering; Subspace; Neural Networks; Activation Functions; Preserving Structure; none of the above)
4540	Stable and Scalable Deep Predictive Coding Networks with Meta-Prediction Errors Authors: Myoung Hoon Ha; Hyunjun Kim; Yoondo Sung; Youngha Jo; Min S. Kang; Sang Wan Lee Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Neuroscience; Predictive Coding; Meta Predictive Coding; Free Energy; none of the above)
4541	Station2Radar: Query‑Conditioned Gaussian Splatting for Precipitation Field Authors: Doyi Kim; Minseok Seo; Changick Kim Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: climate change; precipitation; none of the above)
4542	Stochastic Self-Organization in Multi-Agent Systems Authors: Nurbek Tastan; Samuel Horváth; Karthik Nandakumar Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: multi-agent systems; contribution estimation; none of the above)
4543	Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems Authors: Fulin Lin; Shaowen Chen; Ruishan Fang; Hongwei Wang; Tao Lin Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Multi-Agent System; Autonomous Agents; Efficiency; Large Language Models; none of the above)
4544	Synchronizing Probabilities in Model-Driven Lossless Compression Authors: Aviv Adler; Jennifer Tang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: data compression; model-driven prediction; non-determinism; none of the above)
4545	TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation Authors: Seong Jin Cho; Gwangsu Kim; Junghyun Lee; Hee Suk Yoon; Joshua Tian Jin Tee; Chang D. Yoo Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: active learning; regression; Voronoi tessellation; least disagree metric; none of the above)
4546	THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning Authors: Qikai Chang; Zhenrong Zhang; Pengfei Hu; Jun Du; Jiefeng Ma; Yicheng Pan; Jianshu Zhang; Quan Liu; Jianqing Gao Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Large Language Models; Mathematical Problem Solving; Tool-Integrated Reasoning; Reinforcement Learning; none of the above)
4547	TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding Authors: Xiaobo Xing; Wei Yuan; Tong Chen; Quoc Viet Hung Nguyen; Xiangliang Zhang; Hongzhi Yin Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Table Understanding; Large Language Models; none of the above)
4548	Task-Aware Data Selection via Proxy-Label Enhanced Distribution Matching for LLM Finetuning Authors: Hao Cheng; Rui Zhang; Ling Li; Na Di; Jiaheng Wei; Zhaowei Zhu; Bo Han Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Data Selection; Task-specific model fine-tuning; none of the above)
4549	The Counting Power of Transformers Authors: Marco Sälzer; Chris Köcher; Alexander Kozachinskiy; Georg Zetzsche; Anthony Widjaja Lin Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: FLaNN; expressiveness; attention; formal languages; none of the above)
4550	The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics Authors: Fabio Turazza; Marco Picone; Marco Mamei Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: One-Shot Federated Learning; data-free aggregation; Gaussian Discriminant Heads; Knowledge Distillation; none of the above)
4551	The Lattice Geometry of Neural Network Quantization: A Short Equivalence Proof of GPTQ and Babai's Algorithm Authors: Johann Birnick Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: quantization; lattices; GPTQ; Babai; none of the above)
4552	The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM Authors: Kwanhee Lee; Hyeondo Jang; Dongyeop Lee; Dan Alistarh; Namhoon Lee Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: sparsity; pruning; LLMs; none of the above)
4553	Token-Efficient Long-Term Interest Sketching and Internalized Reasoning for LLM-based Recommendation Authors: Zhihao Ding; Jinming Li; Shuai Mu; Jieming Shi Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: LLM-based Recommendation; Rating Prediction; Long-term Preference Modeling; Efficient Reasoning; Latent Reasoning; none of the above)
4554	Topology Matters in RTL Circuit Representation Learning Authors: Mingyu Zhao; Xun He; Jiawei Liu; Jianwang Zhai; Chuan Shi Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: RTL repressentation; EDA; none of the above)
4555	Towards Better Branching Policies: Leveraging the Sequential Nature of Branch-and-Bound Tree Authors: Ce Zhang; Bin Zhang; Guoliang Fan Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Mixed-Integer Linear Programming; Branch-and-Bound; Branching Variable Selection Policy; Generalization; Mamba; none of the above)
4556	Towards Sustainable Investment Policies Informed by Opponent Shaping Authors: Juan Agustin Duque; Razvan Ciuca; Ayoub Echchahed; Hugo Larochelle; Aaron Courville Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Climate Change; Social Dilemmas; Multi Agent Reinforcement Learning; Opponent Shaping; Policy Making; none of the above)
4557	Towards Text-Mask Consistency in Medical Image Segmentation Authors: Jie Gui; HangTu; Wen Sha; Xiuquan Du Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Medical image segmentation; Vision language models; Multimodal learning; Kolmogorov–Arnold Networks; none of the above)
4558	TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation Authors: Junhan Kim; Yeo Jeong Park; Seungwoo Son; Chungman Lee; Ho-young Kim; Joonyoung Kim; Yongkweon Jeon Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Quantization; LLMs; Hessian; Attention; none of the above)
4559	Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data Authors: Xuanyu Chen; NAN YANG; Shuai Wang; Dong Yuan Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Distributed Learning; Heterogeneous and Unlabeled Data; Self-Supervised Learning; Federated Learning; Decentralized Learning; none of the above)
4560	Universal Model Routing for Efficient LLM Inference Authors: Wittawat Jitkrittum; Harikrishna Narasimhan; Ankit Singh Rawat; Jeevesh Juneja; Congchao Wang; Zifeng Wang; Alec Go; Chen-Yu Lee; Pradeep Shenoy; Rina Panigrahy; Aditya Krishna Me… Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: model routing; adaptive computation; learning to defer; efficient inference; none of the above)
4561	Untraceable DeepFakes via Traceable Fingerprint Elimination Authors: Jiewei Lai; Lan Zhang; Chen Tang; Pengcheng Sun; Xinming Wang; YUNHAO WANG Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: DeepFakes Attribution; Adversarial Attack; Generative Model Fingerprint; none of the above)
4562	WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning Authors: Kuan Li; Zhongwang Zhang; Huifeng Yin; Rui Ye; Yida Zhao; Liwen Zhang; Litu Ou; Ding-Chu Zhang; Xixi Wu; Xinmiao Yu; Jialong Wu; Xinyu Wang; Zile Qiao; Zhen Zhang; Yong Jiang; Pen… Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Web Agent; none of the above)
4563	Welfarist Formulations for Diverse Similarity Search Authors: Siddharth Barman; Nirjhar Das; Shivam Gupta; Kirankumar Shiragur Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Vector Search; Approximate Nearest Neighbor Search; Nash Social Welfare; none of the above)
4564	What Layers When: Learning to Skip Compute in LLMs with Residual Gates Authors: Filipe Laitenberger; Dawid Jan Kopiczko; Cees G. M. Snoek; Yuki M Asano Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: decoder-only language models; large language models; layer skipping; adaptive compute; efficient inference; LLM; none of the above)
4565	When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling Authors: Heecheol Yun; Kwangmin Ki; Jung Hyun Lee; Eunho Yang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: LLM Ensemble; probability-level ensemble; speculative decoding; none of the above)
4566	iFusion: Integrating Dynamic Interest Streams via Diffusion Model for Click-Through Rate Prediction Authors: Ziheng Ni; Congcong Liu; Yuying Chen; Zhiwei Fang; Changping Peng; Zhangang Lin; Ching Law; Jingping Shao Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: User Behavior Modeling; Diffusion Models; Dynamic Interest Fusion; none of the above)
4567	vAttention: Verified Sparse Attention via Sampling Authors: Aditya Desai; Kumar Krishna Agrawal; Shuo Yang; Alejandro Cuadron; Luis Gaspar Schroeder; Matei Zaharia; Joseph E. Gonzalez; Ion Stoica Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: sparse attention; none of the above)
4568	vCache: Verified Semantic Prompt Caching Authors: Luis Gaspar Schroeder; Aditya Desai; Alejandro Cuadron; Kyle Chu; Shu Liu; Mark Zhao; Stephan Krusche; Alfons Kemper; Matei Zaharia; Joseph E. Gonzalez Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Semantic Prompt Cache; Caching; LLM; Guarantees; Embedding Threshold; none of the above)
4569	xRFM: Accurate, scalable, and interpretable feature learning models for tabular data Authors: Daniel Beaglehole; David Holzmüller; Adityanarayanan Radhakrishnan; Mikhail Belkin Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Poster/Regular Keywords: Tabular data; kernel methods; tree-based methods; none of the above)
4570	A Diffusion Model to Shrink Proteins While Maintaining Their Function Authors: Ethan Baron; Alan Nawzad Amin; Ruben Weitzman; Simon d'Oelsnitz; Debora Susan Marks; Andrew Gordon Wilson Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Proteins; Generative model; diffusion; discrete diffusion; variational inference; sampling; UQ; etc.)
4571	A Minimum Variance Path Principle for Accurate and Stable Score-Based Density Ratio Estimation Authors: Wei Chen; Jiacheng Li; Shigui Li; Zhiqi Lin; Junmei Yang; John Paisley; Delu Zeng Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Density ratio estimation; minimum variance path principle; path optimization; Kumaraswamy mixture model; variational inference; sampling; UQ; etc.)
4572	AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework Authors: Zihang Zeng; Jiaquan Zhang; Pengze Li; Yuan Qi; Xi Chen Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Multi-agent framework; Bayesian inference; LLM; AI-for-Science; variational inference; sampling; UQ; etc.)
4573	Accelerated Parallel Tempering via Neural Transports Authors: Leo Zhang; Peter Potaptchik; Jiajun He; Yuanqi Du; Arnaud Doucet; Francisco Vargas; Hai-Dang Dau; Saifuddin Syed Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: MCMC; Parallel Tempering; Diffusion; Generative Models; Neural Samplers; Normalising Flows; variational inference; sampling; UQ; etc.)
4574	Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation Authors: Mykyta Ielanskyi; Kajetan Schweighofer; Lukas Aichberger; Sepp Hochreiter Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: uncertainty; natural language generation; evaluation; large language models; elo; judge; variational inference; sampling; UQ; etc.)
4575	Alternating Diffusion for Proximal Sampling with Zeroth Order Queries Authors: Hirohane Takagi; Atsushi Nitanda Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Sampling; Diffusion-based Monte Carlo; Zeroth-order methods; variational inference; sampling; UQ; etc.)
4576	Amortising Inference and Meta-Learning Priors in Neural Networks Authors: Tommy Rochussen; Vincent Fortuin Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: neural processes; Bayesian neural networks; meta-learning; priors; variational inference; variational inference; sampling; UQ; etc.)
4577	An Optimal Diffusion Approach to Quadratic Rate-Distortion Problems: New Solution and Approximation Methods Authors: Dror Freirich; Nir Weinberger Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: information theory; rate-distortion; diffusion processes; stochastic control; variational inference; sampling; UQ; etc.)
4578	Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning Authors: Zijian Wang; Xiaofei Zhang; Xin Zhang; Yukun Liu; Qiong Zhang Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: client allocation; density ratio model; empirical likelihood; healthcare; patient routing; server routing; variational inference; sampling; UQ; etc.)
4579	Branch and Bound Search for Exact MAP Inference in Credal Networks Authors: Radu Marinescu; Fabio Cozman; Denis Mauá; Debarun Bhattacharjya; Junkyu Lee; Alexander G. Gray Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: probabilistic reasoning; credal networks; search; MAP inference; variational inference; sampling; UQ; etc.)
4580	CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk Authors: Ilia Azizi; Juraj Bodik; Jakob Heiss; Bin Yu Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Uncertainty Quantification; Prediction intervals; Epistemic Uncertainty; Aleatoric Uncertainty; Conditional Coverage; Calibration; variational inference; sampl…
4581	COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics Authors: Matt Y. Cheung; Ashok Veeraraghavan; Guha Balakrishnan Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Conformal Prediction; Segmentation; Imaging; Uncertainty Quantification; variational inference; sampling; UQ; etc.)
4582	CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition Authors: Bruno Viti; Elias Karabelas; Martin Holler Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Conformal prediction; Uncertainty quantification; Image segmentation; variational inference; sampling; UQ; etc.)
4583	CREPE: Controlling diffusion with REPlica Exchange Authors: Jiajun He; Paul Jeha; Peter Potaptchik; Leo Zhang; José Miguel Hernández-Lobato; Yuanqi Du; Saifuddin Syed; Francisco Vargas Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: parallel tempering; diffusion model; inference-time control; replica exchange; variational inference; sampling; UQ; etc.)
4584	Causal Discovery in the Wild: A Voting-Theoretic Ensemble Approach Authors: Vy Vo; Haoxuan Li; Mingming Gong Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Causal Discovery; Ensemble Learning; variational inference; sampling; UQ; etc.)
4585	Causal Score Conditioning for Multi-Resolution Latent Systems Authors: Xuechun Li; Shan Gao; Susu Xu Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Causal Score Conditioning; Variational causal inference; Probabilistic graphical models; Multi-resolution observations; Score-based diffusion models; variation…
4586	Clustering by Denoising: Latent plug-and-play diffusion for single-cell embeddings Authors: Dominik Meier; Shixing Yu; Sagnik Nandy; PROMIT GHOSAL; Kyra Gan Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Diffusion; Plug-and-Play (PnP); Single-Cell Genomics; variational inference; sampling; UQ; etc.)
4587	Combinatorial Bandit Bayesian Optimization for Tensor Outputs Authors: Jingru Huang; Haijie Xu; Jie Guo; Manrui Jiang; Chen Zhang Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Tensor data; Non-separable kernels; Gaussian process; Bayesian optimization; Combinatorial multi-arm bandit; Upper confidence bound; variational inference; sam…
4588	Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification Authors: Kimia Hamidieh; Veronika Thost; Walter Gerych; Mikhail Yurochkin; Marzyeh Ghassemi Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Uncertainty Quantification; Language Models; Epistemic Uncertainty; variational inference; sampling; UQ; etc.)
4589	Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond Authors: Wei Guo; Molei Tao; Yongxin Chen Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: normalizing constant; free energy; Jarzynski equality; annealed importance sampling; reverse diffusion samplers; variational inference; sampling; UQ; etc.)
4590	Compositional amortized inference for large-scale hierarchical Bayesian models Authors: Jonas Arruda; Vikas Pandey; Catherine Sherry; Margarida Barroso; Xavier Intes; Jan Hasenauer; Stefan T. Radev Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Amortized Bayesian Inference; Hierarchical Models; Compositional Modeling; Score Matching; variational inference; sampling; UQ; etc.)
4591	Concept-based Adversarial Attack: a Probabilistic Perspective Authors: Andi Zhang; Xuan Ding; Steven McDonagh; Samuel Kaski Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Adversarial Attack; Probabilistic Generative Models; Diffusion Models; variational inference; sampling; UQ; etc.)
4592	ConfHit: Conformal Generative Design with Oracle-Free Guarantees Authors: Siddhartha Laghuvarapu; Ying Jin; Jimeng Sun Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: conformal prediction; generative modeling; risk control; molecule generation; applications to drug discovery; variational inference; sampling; UQ; etc.)
4593	Conformal Prediction for Long-Tailed Classification Authors: Tiffany Ding; Jean-Baptiste Fermanian; Joseph Salmon Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: conformal prediction; uncertainty quantification; long tail; class imbalance; fine-grained image classification; variational inference; sampling; UQ; etc.)
4594	Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting Authors: Shai Feldman; Stephen Bates; Yaniv Romano Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Conformal Prediction; Uncertainty Quantification; Distribution Shift; Corrupted Labels; Privileged Information; variational inference; sampling; UQ; etc.)
4595	Conformalized Decision Risk Assessment Authors: Wenbin Zhou; Agni Orfanoudaki; Shixiang Zhu Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Conformal prediction; inverse optimization; risk assessment; decision making under uncertainty; variational inference; sampling; UQ; etc.)
4596	Conformalized Survival Counterfactuals Prediction for General Right-Censored Data Authors: Sijie Ren; Meng Yan; Zhen Zhang; Xu Yinghui; Xinwei Sun Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Conformalized survival analysis; Counterfactual inference; General right-censored data; variational inference; sampling; UQ; etc.)
4597	Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation Authors: Buu Phan; Ashish J Khisti; Karen Ullrich Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Tokenization; likelihood scoring; language models; variational inference; sampling; UQ; etc.)
4598	DUET: Optimizing LLM Training Data Mixtures via Noisy Feedback from Unseen, Downstream Evaluation Tasks Authors: Zhiliang Chen; Gregory Kang Ruey Lau; Chuan-Sheng Foo; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian Optimization; Data Mixture Optimization; Optimization from feedback; variational inference; sampling; UQ; etc.)
4599	Data-to-Energy Stochastic Dynamics Authors: Kirill Tamogashev; Nikolay Malkin Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Schrödinger bridge; Bayesian posterior inference; stochastic differential equations; Iterative Proportional Fitting; variational inference; sampling; UQ; etc.)
4600	Decision Aggregation under Quantal Response Authors: Zhihuan Huang; Yichong Xia; Yuqing Kong Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: aggregation; quantal response; bounded rationality; large language models; variational inference; sampling; UQ; etc.)
4601	Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios Authors: Kihun Hong; Sejun Park; Ganguk Hwang Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Vertical Federated Learning; Deep Latent Variable Model; missing mechanism; MCAR; MAR; MNAR; variational inference; sampling; UQ; etc.)
4602	Detection of unknown unknowns in autonomous systems Authors: Ayan Banerjee; Sandeep Gupta Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: unknown unknowns; autonomous systems; conformal bounds; variational inference; sampling; UQ; etc.)
4603	DiffBED: Scaling Bayesian Experimental Design to High-Dimensions Authors: Adhi Saravanan; Rik Knowles; Gavin Kerrigan; Tom Rainforth Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian Experimental Design; Active Data Acquisition; Diffusion Models; variational inference; sampling; UQ; etc.)
4604	Diffusion Bridge Variational Inference for Deep Gaussian Processes Authors: JIAN XU; Delu Zeng; Qibin Zhao; John Paisley Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Deep Gaussian Processes; Diffusion Bridge; Variational Inference; variational inference; sampling; UQ; etc.)
4605	Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies Authors: David Huk; Theodoros Damoulas Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Copula estimation; dependence modelling; diffusion; non-parametric copula; variational inference; sampling; UQ; etc.)
4606	Discrete Adjoint Matching Authors: Oswin So; Brian Karrer; Chuchu Fan; Ricky T. Q. Chen; Guan-Horng Liu Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Discrete Diffusion Model; Fine Tuning; Continuous-Time Markov Chain; Adjoint Matching; variational inference; sampling; UQ; etc.)
4607	Distribution-informed Online Conformal Prediction Authors: Dongjian Hu; Junxi Wu; Shu-Tao Xia; Changliang Zou Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Conformal Prediction; Uncertainty Quantification; Distribution Shift; Time Series; variational inference; sampling; UQ; etc.)
4608	DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series Authors: Dongze Wu; Feng Qiu; Yao Xie Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Time Series; Causal Inference; Generative Models; Flow Matching; variational inference; sampling; UQ; etc.)
4609	Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search Authors: Ekaterina Fadeeva; Maiya Goloburda; Aleksandr Rubashevskii; Roman Vashurin; Artem Shelmanov; Preslav Nakov; Mrinmaya Sachan; Maxim Panov Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: LLM; Large Language Model; Uncertainty Quantification; Beam Search; variational inference; sampling; UQ; etc.)
4610	Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo Authors: Advait Parulekar; Litu Rout; Karthikeyan Shanmugam; Sanjay Shakkottai Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Posterior Sampling; Sampling; variational inference; sampling; UQ; etc.)
4611	Efficient Autoregressive Inference for Transformer Probabilistic Models Authors: Conor Hassan; Nasrulloh Ratu Bagus Satrio Loka; Cen-You Li; Daolang Huang; Paul Edmund Chang; Yang Yang; Francesco Silvestrin; Samuel Kaski; Luigi Acerbi Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: probabilistic machine learning; neural processes; probabilistic meta-learning; amortized inference; variational inference; sampling; UQ; etc.)
4612	Efficient Credal Prediction through Decalibration Authors: Paul Hofman; Timo Löhr; Maximilian Muschalik; Yusuf Sale; Eyke Hüllermeier Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: efficient uncertainty representation; credal sets; relative likelihood; variational inference; sampling; UQ; etc.)
4613	Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance Authors: Zhuo Li; Pengyu Cheng; Zhechao Yu; FeifeiTong; Anningzhe Gao; Tsung-Hui Chang; Xiang Wan; erchao.zec; xiaoxi jiang; guanjunjiang Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: LLM; RLHF; Reward Hacking; Debias; variational inference; sampling; UQ; etc.)
4614	Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers Authors: Firas Gabetni; Giuseppe Curci; Andrea Pilzer; Subhankar Roy; Elisa Ricci; Gianni Franchi Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Uncertainty quantification; ensembling approaches; variational inference; sampling; UQ; etc.)
4615	Evaluating GFlowNet from partial episodes for stable and flexible policy-based training Authors: Puhua Niu; Shili Wu; Xiaoning Qian Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Probabilistic Inference; Variational Inference; Reinforcement Learning; Combinatorial Optimization; variational inference; sampling; UQ; etc.)
4616	Federated ADMM from Bayesian Duality Authors: Thomas Möllenhoff; Siddharth Swaroop; Finale Doshi-Velez; Mohammad Emtiyaz Khan Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: bayesian deep learning; variational inference; variational learning; federated learning; convex optimization; splitting methods; variational inference; samplin…
4617	Fisher-Rao Sensitivity for Out-of-Distribution Detection in Deep Neural Networks Authors: Anthony Nguyen; Antonin Bertrand; Sylvie Le Hégarat-Mascle; Emanuel Aldea; Mohammed Nabil EL-KORSO; Renaud LUSTRAT; Franck FLORIN Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Deep Learning; Out-Of Distribution Detection; Information Geometry; variational inference; sampling; UQ; etc.)
4618	Flow Map Learning Via Non-Gradient Vector Flow Authors: Mark Goldstein; Anshuk Uppal; Raghav Singhal; Aahlad Manas Puli; Rajesh Ranganath Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: flow map; flow matching; diffusion; density; ode; variational inference; sampling; UQ; etc.)
4619	Flow-based Conformal Prediction for Multi-dimensional Time Series Authors: Junghwan Lee; Chen Xu; Yao Xie Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Conformal Prediction; Time Series Prediction; variational inference; sampling; UQ; etc.)
4620	From Predictors to Samplers via the Training Trajectory Authors: Soumya Ram; Akhila Ram Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: sampling; energy based models; discrete sampling; synergistic interactions; markov chain monte carlo; variational inference; sampling; UQ; etc.)
4621	From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting Authors: Xilin Dai; Zhijian Xu; Wanxu Cai; Qiang Xu Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Probabilistic Time Series Forecasting; Probabilistic Scenarios; Time Series Analysis; Sampling-Free; variational inference; sampling; UQ; etc.)
4622	From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Permutation Spaces Authors: Zikai Xie; Linjiang Chen Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian Optimization; Combinatorial Optimization; Permutation Space; variational inference; sampling; UQ; etc.)
4623	Frozen Priors, Fluid Forecasts: Prequential Uncertainty for Low-Data Deployment with Pretrained Generative Models Authors: Fernando Ruiz-Mazo; Vikas K Garg Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: predictive uncertainty quantification; prequential inference; measure-valued martingales; frozen generative models; variational inference; sampling; UQ; etc.)
4624	Generative Bayesian Optimization: Generative Models as Acquisition Functions Authors: Rafael Oliveira; Daniel M. Steinberg; Edwin V. Bonilla Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian optimization; generative models; black-box optimization; variational inference; sampling; UQ; etc.)
4625	Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later Authors: Arnaud Vadeboncoeur; Gregory Duthé; Mark Girolami; Eleni Chatzi Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian Inverse Problems; Physics; Graph Machine Learning; Generative Modelling; variational inference; sampling; UQ; etc.)
4626	Graph Random Features for Scalable Gaussian Processes Authors: Matthew Zhang; Jihao Andreas Lin; Krzysztof Marcin Choromanski; Adrian Weller; Richard E. Turner; Isaac Reid Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: kernels; graphs; Gaussian processes; Monte Carlo; inference; variational inference; sampling; UQ; etc.)
4627	HOTA: Hamiltonian framework for Optimal Transport Advection Authors: Nazar Buzun; Daniil Shlenskii; Maksim Bobrin; Dmitry V. Dylov Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Optimal transport; optimal control; generalized Schrödinger bridge; diffusion models; variational inference; sampling; UQ; etc.)
4628	Hierarchical Multi-Stage Recovery Framework for Kronecker Compressed Sensing Authors: Yanbin He; Geethu Joseph Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Compressed sensing; Kronecker product; Restricted isometry property; Hierarchical sparsity; Tensor operation; variational inference; sampling; UQ; etc.)
4629	How to Square Tensor Networks and Circuits Without Squaring Them Authors: Lorenzo Loconte; Adrián Javaloy; Antonio Vergari Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: tensor-networks; circuits; probabilistic-methods; variational inference; sampling; UQ; etc.)
4630	In-Context Learning of Temporal Point Processes with Foundation Inference Models Authors: David Berghaus; Patrick Seifner; Kostadin Cvejoski; Cesar Ojeda; Ramses J Sanchez Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: temporal point processes; zero-shot inference; in-context learning; zero-shot parameter estimation; inference of point processes; foundation models; foundation…
4631	In-Context Multi-Objective Optimization Authors: Xinyu Zhang; Conor Hassan; Julien Martinelli; Daolang Huang; Samuel Kaski Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Multi-Objective Optimization; Bayesian Optimization; Transformers; Neural Processes; variational inference; sampling; UQ; etc.)
4632	Incorporating Expert Priors into Bayesian Optimization via Dynamic Mean Decay Authors: Chongqi Qu; Meiqin Liu; Jian Lan; Shanling Dong; Zhunga Liu Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian optimization; Gaussian processes; Expert prior knowledge; Hyperparameter optimization; variational inference; sampling; UQ; etc.)
4633	Inference-time scaling of diffusion models through classical search Authors: XiangCheng Zhang; Haowei Lin; Haotian Ye; James Zou; Jianzhu Ma; Yitao Liang; Yilun Du Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: diffusion models; inference-time scaling; compositional generation; search algorithms; variational inference; sampling; UQ; etc.)
4634	LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design Authors: Amir Sadikov Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Evolutionary Computation; Large Language Models (LLMs); Quasi-Monte Carlo (QMC); Star Discrepancy; Sobol' Sequences; Algorithmic Discovery; Quantitative Financ…
4635	Laplacian Kernelized Bandit Authors: Shuang Wu; Arash A. Amini Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bandit Problem; Kernel Method; Graph Laplacian Regularization; variational inference; sampling; UQ; etc.)
4636	Latent Veracity Inference for Identifying Errors in Stepwise Reasoning Authors: Minsu Kim; Jean-Pierre R. Falet; Oliver Ethan Richardson; Xiaoyin Chen; Moksh Jain; Sungjin Ahn; Sungsoo Ahn; Yoshua Bengio Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Latent variable models; Language models; Probabilistic inference; Veracity; Chain-of-thought; variational inference; sampling; UQ; etc.)
4637	Learning Boltzmann Generators via Constrained Mass Transport Authors: Christopher von Klitzing; Denis Blessing; Henrik Schopmans; Pascal Friederich; Gerhard Neumann Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: sampling; Boltzmann generators; annealing; variational inference; sampling; UQ; etc.)
4638	Learning Distributions over Permutations and Rankings with Factorized Representations Authors: Daniel Severo; Brian Karrer; Niklas Nolte Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: permutations; rankings; fisher-yates; insertion-vectors; ranking; movielens; variational inference; sampling; UQ; etc.)
4639	Learning Survival Distributions with Individually Calibrated Asymmetric Laplace Distribution Authors: Deming Sheng; Ricardo Henao Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Machine Learning; Probabilistic methods; Survival Analysis; Asymmetric Laplace Distribution; Calibration; variational inference; sampling; UQ; etc.)
4640	Local Entropy Search over Descent Sequences for Bayesian Optimization Authors: David Stenger; Armin Lindicke; Alexander von Rohr; Sebastian Trimpe Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian Optimization; Entropy Search; Local Bayesian Optimization; variational inference; sampling; UQ; etc.)
4641	Lossless Vocabulary Reduction for Auto-Regressive Language Models Authors: Daiki Chijiwa; Taku Hasegawa; Kyosuke Nishida; Shin'ya Yamaguchi; Tomoya Ohba; Tamao Sakao; Susumu Takeuchi Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Language Models; Next-Token Distribution; Tokenization; Vocabulary; variational inference; sampling; UQ; etc.)
4642	Multi-LLM Adaptive Conformal Inference for Reliable LLM Response Authors: Kangjun Noh; Seongchan Lee; Ilmun Kim; Kyungwoo Song Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: LLM Response Factuality; Conformal Inference; Multi-LLM; variational inference; sampling; UQ; etc.)
4643	Multifidelity Simulation-based Inference for Computationally Expensive Simulators Authors: Anastasia N. Krouglova; Hayden R Johnson; Basile Confavreux; Michael Deistler; Pedro J. Goncalves Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: simulation-based inference; likelihood-free inference; Bayesian inference; transfer learning; multifidelity; neuroscience; variational inference; sampling; UQ;…
4644	Multilevel Control Functional Authors: Kaiyu Li; Yiming Yang; Xiaoyuan Cheng; Yi He; Zhuo Sun Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Variance Reduction; Monte Carlo; variational inference; sampling; UQ; etc.)
4645	Neural Optimal Transport Meets Multivariate Conformal Prediction Authors: Vladimir Kondratyev; Alexander Fishkov; Mahmoud Hegazy; Nikita Kotelevskii; Rémi Flamary; Maxim Panov; Eric Moulines Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: vector quantile regression; conformal prediction; neural optimal transport; variational inference; sampling; UQ; etc.)
4646	Neural Posterior Estimation with Latent Basis Expansions Authors: Declan McNamara; Yicun Duan; Jeffrey Regier Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: forward KL divergence; simulation-based inference; variational inference; exponential family; variational inference; sampling; UQ; etc.)
4647	On Measuring Influence in Avoiding Undesired Future Authors: Lue Tao; Tian-Zuo Wang; Yuan Jiang; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Avoiding Undesired Future; Rehearsal Learning; Influence; variational inference; sampling; UQ; etc.)
4648	On the Mechanisms of Collaborative Learning in VAE Recommenders Authors: Long Tung Vuong; Julien Monteil; Hien Dang; Volodymyr Vaskovych; Trung Le; Vu Nguyen Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: VAE-based collaborative filtering; variational inference; sampling; UQ; etc.)
4649	Optimizing Data Augmentation through Bayesian Model Selection Authors: Madi Matymov; Ba-Hien Tran; Michael Kampffmeyer; Markus Heinonen; Maurizio Filippone Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian Neural Network; Variational Inference; Data Augmentation; variational inference; sampling; UQ; etc.)
4650	Pareto Variational Autoencoder Authors: Mincheol Cho; Yedarm Seong; Joong-Ho Won Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Variational Autoencoder; Symmetric Pareto distribution; Information geometry; Heavy-tail learning; variational inference; sampling; UQ; etc.)
4651	Poisson Midpoint Method for Log Concave Sampling: Beyond the Strong Error Lower Bounds Authors: Rishikesh Srinivasan; Dheeraj Mysore Nagaraj Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Sampling; Langevin Dynamics; variational inference; sampling; UQ; etc.)
4652	Post-hoc Probabilistic Vision-Language Models Authors: Anton Baumann; Rui Li; Marcus Klasson; Santeri Mentu; Shyamgopal Karthik; Zeynep Akata; Arno Solin; Martin Trapp Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Uncertainty Quantification; Active Fine-Tuning; Bayesian Deep Learning; Vision-Language Models; variational inference; sampling; UQ; etc.)
4653	PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference Authors: Yang Yang; Severi Rissanen; Paul Edmund Chang; Nasrulloh Ratu Bagus Satrio Loka; Daolang Huang; Arno Solin; Markus Heinonen; Luigi Acerbi Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Simulation-based inference; Amortized inference; Test-time adaptation; Bayesian workflow; Neural posterior estimation; Diffusion models; variational inference;…
4654	Proximal Diffusion Neural Sampler Authors: Wei Guo; Jaemoo Choi; Yuchen Zhu; Molei Tao; Yongxin Chen Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Neural sampler; proximal gradient descent; diffusion models; discrete diffusion models; cross entropy; variational inference; sampling; UQ; etc.)
4655	Random-projection ensemble dimension reduction Authors: Wenxing Zhou; Timothy Ivor Cannings Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: High-dimensional; random projection; sufficient dimension reduction; variational inference; sampling; UQ; etc.)
4656	Reliable Probabilistic Forecasting of Irregular Time Series through Marginalization-Consistent Flows Authors: Vijaya Krishna Yalavarthi; Randolf Scholz; Christian Klötergens; Kiran Madhusudhanan; Stefan Born; Lars Schmidt-Thieme Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Irregular Time Series; Probabilistic Forecasting; Normalizing Flows; variational inference; sampling; UQ; etc.)
4657	Rethinking Model Calibration through Spectral Entropy Regularization in Medical Image Segmentation Authors: Kun Cheng; Yukun Zhang; William Henry Nailon; Tonggang Zhao Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: medical image segmentation; model calibration; spectral entropy; variational inference; sampling; UQ; etc.)
4658	Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure Authors: Lukas Aichberger; Kajetan Schweighofer; Sepp Hochreiter Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: llm; nlg; uncertainty estimation; uncertainty measures; proper scoring rules; zero-one score; single-sequence measures; variational inference; sampling; UQ; et…
4659	Revisiting Nonstationary Kernel Design for Multi-Output Gaussian Processes Authors: Qiaochu Xu; Zi Yang; Ying Li; Michael Minyi Zhang; Pablo M. Olmos Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Nonstationary kernel; Multi-ouput Gaussian Process; Bayesian non-parametric; variational inference; sampling; UQ; etc.)
4660	Risk-Sensitive Agent Compositions Authors: Guruprerana Shabadi; Rajeev Alur Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Agentic systems; agent composition; safety; risk-sensitive planning; planning; variational inference; sampling; UQ; etc.)
4661	Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning Authors: Charmaine Barker; Daniel Bethell; Simos Gerasimou Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Uncertainty Quantification; Adversarial Attack Detection; Evidential Deep Learning; variational inference; sampling; UQ; etc.)
4662	Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data Authors: Aayush Mishra; Daniel Habermann; Marvin Schmitt; Stefan T. Radev; Paul-Christian Bürkner Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian models; amortized inference; robust inference; self-consistency; semi-supervised learning; variational inference; sampling; UQ; etc.)
4663	Robust Decision-Making with Partially Calibrated Forecasters Authors: Shayan Kiyani; Hamed Hassani; George J. Pappas; Aaron Roth Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Calibration; Decision Making; Uncertainty Quantification; variational inference; sampling; UQ; etc.)
4664	SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows Authors: Janik Kreit; Dominic Schuh; Kim Andrea Nicoli; Lena Funcke Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Generative models; Normalizing Flows; Symmetries; Equivariant Models; variational inference; sampling; UQ; etc.)
4665	SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML Authors: Ismail Lamaakal; Chaymae Yahyati; Khalid El Makkaoui; Ibrahim Ouahbi; Yassine Maleh Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: TinyML; uncertainty quantification; single-pass inference; depth-wise next-activation prediction; selective prediction; on-device monitoring; variational infer…
4666	Scalable Random Wavelet Features: Efficient Non-Stationary Kernel Approximation with Convergence Guarantees Authors: Sawan Kumar; Souvik Chakraborty Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Random features; Non-stationary kernels; Wavelet features; Gaussian Process; Kernel approximation; variational inference; sampling; UQ; etc.)
4667	Scaling Multi-Task Bayesian Optimization with Large Language Models Authors: Yimeng Zeng; Natalie Maus; Haydn Thomas Jones; Jeffrey Tao; Fangping Wan; Marcelo Der Torossian Torres; Cesar de la Fuente-Nunez; Ryan Marcus; Osbert Bastani; Jacob R. Gardner Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian optimization; large language models; protein design; meta learning; scientific discovery; variational inference; sampling; UQ; etc.)
4668	Score-Based Density Estimation from Pairwise Comparisons Authors: Petrus Mikkola; Luigi Acerbi; Arto Klami Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: score-based methods; pairwise comparisons; density estimation; elicitation; random utility models; tempering; variational inference; sampling; UQ; etc.)
4669	Semantic Uncertainty Quantification of Hallucinations in LLMs: A Quantum Tensor Network Based Method Authors: pragatheeswaran vipulanandan; Kamal Premaratne; Dilip Sarkar Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Semantic uncertainty; Large language models; quantum physics; variational inference; sampling; UQ; etc.)
4670	Singleton-Optimized Conformal Prediction Authors: Tao Wang; Yan Sun; Edgar Dobriban Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Conformal Prediction; Uncertainty Quantification; variational inference; sampling; UQ; etc.)
4671	Source-Guided Flow Matching Authors: Zifan Wang; Alice Harting; Matthieu Barreau; Michael M. Zavlanos; Karl Henrik Johansson Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Flow matching; conditional generation; guided flow; variational inference; sampling; UQ; etc.)
4672	Stop Guessing: Choosing the Optimization-Consistent Uncertainty Measurement for Evidential Deep Learning Authors: Linye Li; Yufei Chen; Xiaodong Yue; Xujing Zhou; Qunjie Chen Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: uncertainty estimation; variational inference; sampling; UQ; etc.)
4673	Supporting High-Stakes Decision Making Through Interactive Preference Elicitation in the Latent Space Authors: Michael Eichelbeck; Tim Voigt; Matthias Althoff Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian optimization; preference elicitation; autoencoder; LLM; variational inference; sampling; UQ; etc.)
4674	Symmetry-Aware Bayesian Optimization via Max Kernels Authors: Anthony Bardou; Antoine Gonon; Aryan Ahadinia; Patrick Thiran Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian Optimization; Invariance; variational inference; sampling; UQ; etc.)
4675	Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems Authors: Brendan Leigh Ross; Noël Vouitsis; Atiyeh Ashari Ghomi; Rasa Hosseinzadeh; Ji Xin; Zhaoyan Liu; Yi Sui; Shiyi Hou; Kin Kwan Leung; Gabriel Loaiza-Ganem; Jesse C. Cresswell Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: LLMs; large language models; uncertainty quantification; Bayes; Bayesian; Bayesian inference; Metropolis-Hastings; prompt engineering; autoprompting; TextGrad;…
4676	Thompson Sampling via Fine-Tuning of LLMs Authors: Nicolas Menet; Aleksandar Terzic; Michael Hersche; Andreas Krause; Abbas Rahimi Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Bayesian optimization; Thompson Sampling; discrete domain; variational Bayesian optimistic sampling; cumulative regret; theory; large language model; fine-tuni…
4677	TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Authors: Tunyu Zhang; Haizhou Shi; Yibin Wang; Hengyi Wang; Xiaoxiao He; Zhuowei Li; Haoxian Chen; Ligong Han; Kai Xu; Huan Zhang; Dimitris N. Metaxas; Hao Wang Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Uncertainty Estimation; Large Language Models; LLM Reasoning; variational inference; sampling; UQ; etc.)
4678	Towards Sampling Data Structures for Tensor Products in Turnstile Streams Authors: Zhao Song; Shenghao Xie; Samson Zhou Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: data structures; sampling; turnstile streams; lower bound; hardness; space complexity; variational inference; sampling; UQ; etc.)
4679	Uncertainty Estimation via Hyperspherical Confidence Mapping Authors: Eunseo Choi; Ho-Yeon Kim; Jaewon Lee; Taeyong jo; Myungjun lee; Heejin Ahn Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: uncertainty estimation; Out-of-distribution (OOD) detection; calibration; variational inference; sampling; UQ; etc.)
4680	Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering Authors: Yavuz Faruk Bakman; Sungmin Kang; Zhiqi Huang; Duygu Nur Yaldiz; Catarina G Belém; Chenyang Zhu; Anoop Kumar; Alfy Samuel; Daben Liu; Salman Avestimehr; Sai Praneeth Karimireddy Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Uncertainty Quantification; LLMs; RAG; Contextual QA; Hallucinations; variational inference; sampling; UQ; etc.)
4681	Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning Authors: Mara Daniels; Liam Hodgkinson; Michael W. Mahoney Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: physics informed; gaussian process; model selection; uncertainty quantification; variational inference; sampling; UQ; etc.)
4682	Variational Deep Learning via Implicit Regularization Authors: Jonathan Wenger; Beau Coker; Juraj Marusic; John Patrick Cunningham Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Implicit Regularization; Bayesian Deep Learning; Generalized Variational Inference; Implicit Bias of SGD; variational inference; sampling; UQ; etc.)
4683	$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence Authors: Yang Li; Songlin Yang; Wei Wang; Xiaoxuan Han; Jing Dong Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: diffusion model; preference alignment; noise robustness
4684	3D-aware Disentangled Representation for Compositional Reinforcement Learning Authors: Sungbin Mun; Younghwan Lee; Cheol-Hui Min; Mineui Hong; Young Min Kim Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: object-centric learning; compositional generalization; goal-conditioned reinforcement learning
4685	A Primer on SO(3) Action Representations in Deep Reinforcement Learning Authors: Martin Schuck; Sherif Samy; Angela P. Schoellig Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: RL; SO(3); 3D rotations; Action Representations; Deep RL; robotics
4686	A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning Authors: Ying-Tu Chen; Wei Hung; Bing-Shu Wu; Zhang-Wei Hong; Ping-Chun Hsieh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-objective reinforcement learning; reward-free reinforcement learning
4687	A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models Authors: Junjie Zhang; Guozheng Ma; Shunyu Liu; Haoyu Wang; Jiaxing Huang; Ting-En Lin; Fei Huang; Yongbin Li; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Finetuning; Large Language Models
4688	ADM-v2: Pursuing Full-Horizon Roll-out in Dynamics Models for Offline Policy Learning and Evaluation Authors: Haoxin Lin; Siyuan Xiao; Yi-Chen Li; Zhilong Zhang; Yihao Sun; Chengxing Jia; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Model-based Reinforcement Learning; Offline Reinforcement Learning
4689	AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification Authors: Geonwoo Cho; Jaemoon Lee; Jaegyun Im; Subi Lee; Jihwan Lee; Sundong Kim Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: unsupervised reinforcement learning; skill discovery; self-supervised learning; multi-joint robot locomotion
4690	APC-RL: Exceeding data-driven behavior priors with adaptive policy composition Authors: Finn Rietz; Pedro Zuidberg Dos Martires; Johannes A. Stork Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Normalizing Flows; Demonstrations Data; Behavior Prior; Learned action space
4691	APPLE: Toward General Active Perception via Reinforcement Learning Authors: Tim Schneider; Cristiana de Farias; Roberto Calandra; Liming Chen; Jan Peters Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Active Perception; Reinforcement Learning; Tactile Sensing; Transformers
4692	ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping Authors: Shuang Chen; Hangyu Guo; Yimeng Ye; Shijue Huang; Wenbo Hu; Jiayu Chen; Manyuan Zhang; Haoxi Li; Song Guo; Nanyun Peng Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Entropy based Multimodal Adaptive Reasoning
4693	ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning Authors: Roger Creus Castanyer; Faisal Mohamed; Pablo Samuel Castro; Cyrus Neary; Glen Berseth Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reward Machines; Foundation Models; Generalization; Exploration
4694	ATPO: ADAPTIVE TREE POLICY OPTIMIZATION FOR MULTI-TURN MEDICAL DIALOGUE Authors: Ruike Cao; Shaojie Bai; Fugen Yao; Liang Dong; Jian Xu; Li Xiao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning (RL); Large Language Models (LLMs); Medical Dialogue; Tree Search
4695	AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking Authors: Silin Gao; Antoine Bosselut; Samy Bengio; Emmanuel Abbe Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: large language models; abstract reasoning; robustness; reinforcement learning
4696	Accelerated Learning with Linear Temporal Logic using Differentiable Simulation Authors: Alper Kamil Bozkurt; Calin Belta; Ming Lin Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; temporal logic; differentiable simulation
4697	Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation Authors: Xintong Duan; Yutong He; Fahim Tajwar; Ruslan Salakhutdinov; J Zico Kolter; Jeff Schneider Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: offline RL; consistency models; diffusion models
4698	Action-Free Offline-To-Online RL via Discretised State Policies Authors: Natinael Solomon Neggatu; Jeremie Houssineau; Giovanni Montana Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Action free Offline to Online Reinforcement Learning; Online Reinforcement Learning; Offline Reinforcement Learning
4699	Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making Authors: Fan Feng; Selena Ge; Minghao Fu; Zijian Li; Yujia Zheng; Zeyu Tang; Yingyao Hu; Biwei Huang; Kun Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: POMDP; Latent Variable Models; RL generalization
4700	Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards Authors: Hieu Trung Nguyen; Bao Nguyen; Wenao Ma; Yuzhi Zhao; Ruifeng She; Viet Anh Nguyen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reinforcement Learning from Verifiable Rewards; Resource Allocation; Large Language model post training
4701	Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning Authors: Tan Jing; Xiaorui Li; Chao Yao; Xiaojuan Ban; Yuetong Fang; Renjing Xu; Zhaolin Yuan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Policy Constraint; Behavioral cloning
4702	AgentPO: Enhancing Multi-Agent Collaboration via Reinforcement Learning Authors: Lin Sun; Chuang Liu; Can Zhang; Yubin Wu; Weijia Lu; Ning Wu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Agent Systems; Reinforcement Learning
4703	All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning Authors: Gokul Swamy; Sanjiban Choudhury; Wen Sun; Steven Wu; Drew Bagnell Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; RLHF; fine-tuning
4704	Analysis of approximate linear programming solution to Markov decision problem with log barrier function Authors: Donghwan Lee; Hyukjun Yang; Bumgeun Park Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Markov decision programming; reinforcement learning; linear programming; dynamic programming
4705	Asynchronous Policy Gradient Aggregation for Efficient Distributed Reinforcement Learning Authors: Alexander Tyurin; Andrei Spiridonov; Varvara Rudenko Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; federated learning; distributed learning; asynchronous methods
4706	Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models Authors: Runze Liu; Jiakang Wang; Yuling Shi; Zhihui Xie; Chenxin An; Kaiyan Zhang; Jian Zhao; Xiaodong Gu; Lei Lin; Wenping Hu; Xiu Li; Fuzheng Zhang; Guorui Zhou; Kun Gai Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large Language Model; Reinforcement Learning; Process Supervision
4707	AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization Authors: Saeed Hedayatian; Stefanos Nikolaidis Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Quality Diversity Optimization; Policy Representation; Reinforcement Learning
4708	AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints Authors: Yirong Zeng; Xiao Ding; Yufei Liu; Yuxian Wang; Qunyao Du; Yutai Hou; Wu Ning; Haonan Song; Duyu Tang; Dandan Tu; Bing Qin; Ting Liu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: llm; RL; tool use; auto think
4709	Automating the Refinement of Reinforcement Learning Specifications Authors: Tanmay Ambadkar; Đorđe Žikelić; Abhinav Verma Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning Specifications; Automatic Specification Refinement; SpectRL
4710	BRIDGE: Bi-level Reinforcement Learning for Dynamic Group Structure in Coalition Formation Games Authors: Shuqing Shi; Nam Phuong Tran; Hao Liang; Debmalya Mandal; Long Tran-Thanh; Yali Du Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: coalition formation games; Bi-level reinforcement learning; multi-agent reinforcement learning
4711	Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning Authors: Jiayu Chen; Le Xu; Wentse Chen; Jeff Schneider Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Monte-Carlo Tree Search
4712	Bayesian Ensemble for Sequential Decision-Making Authors: Rui Liu; Enmin Zhao; Lu Wang; Yu Li; Ming Pang; Changping Peng; Zhangang Lin; Ching Law; Jingping Shao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Ensemble Methods; Reinforcement Learning
4713	Bayesian Robust Cooperative Multi-Agent Reinforcement Learning Against Unknown Adversaries Authors: Kiarash Kazari; György Dán Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; adversarial attacks; Bayesian games; robust RL
4714	Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization Authors: Simon Sinong Zhan; Qingyuan Wu; Philip Wang; Frank Yang; Xiangyu Shi; Chao Huang; Qi Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Delayed Reinforcement Learning; Offline-to-Online Adaption
4715	Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis Authors: Gholamali Aminian; Idan Shenfeld; Amir R. Asadi; Ahmad Beirami; Youssef Mroueh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Best-of-N; Soft-best-of-N; Regret bound
4716	Beyond Distributions: Geometric Action Control for Continuous Reinforcement Learning Authors: Zhihao Lin Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; geometric control; spherical normalization; bounded action spaces; continuous control; action generation; distribution-aware policy opt…
4717	Beyond Magnitude: Leveraging Direction of RLVR Updates for LLM Reasoning Authors: Kexin Huang; Haoming Meng; Junkang Wu; Jinda Lu; Chiyu Ma; Ziqian Chen; Xue Wang; Bolin Ding; Jiancan Wu; Xiang Wang; Xiangnan He; Guoyin Wang; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: RLVR; LLM reasoning
4718	Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring Authors: Zhibo Hou; Zhiyu An; Wan Du Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning
4719	Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning Authors: Qingjun Wang; Hongtu Zhou; Hang Yu; Junqiao Zhao; Yanping Zhao; Chen Ye; Ziqiao Wang; Guang Chen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline RL; Diffusion Model; Out-of-Distribution (OOD) Detection
4720	Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with $\boldsymbol{f}$-SoftArgmax Parameterization $\&$ Coupled Regularization Authors: Safwan Labbi; Daniil Tiapkin; Paul Mangold; Eric Moulines Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: policy gradient methods; reinforcement learning theory; f-divergence; Tsallis entropy; Shannon entropy
4721	Breaking Barriers: Do Reinforcement Post Training Gains Transfer To Unseen Domains? Authors: Chuxuan Hu; Yuxuan Zhu; Antony Kellermann; Caleb Biddulph; Suppakit Waiwitlikhit; Jason Benn; Daniel Kang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: large language models; reinforcement learning; supervised fine-tuning; generalizability
4722	Breaking Safety Paradox with Feasible Dual Policy Iteration Authors: Yujie Yang; Jinglin Teh; Ziyu Lin; Kaicheng Yu; Tao Zhang; Shengbo Eben Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Safety paradox; safe reinforcement learning; feasible policy iteration; feasibility function
4723	Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set Authors: Heyang Zhao; Tianyuan Jin; Weixin Wang; Vincent Y. F. Tan; Pan Xu; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: linear bandits; heteroscedastic noise; simple regret
4724	Bridging Successor Measure and Online Policy Learning with Flow Matching-Based Representations Authors: Haosen Shi; Jianda Chen; Sinno Jialin Pan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; representation learning; flow matching
4725	Bridging the performance-gap between target-free and target-based reinforcement learning Authors: Théo Vincent; Yogesh Tripathi; Tim Faust; Abdullah Akgül; Yaniv Oren; Melih Kandemir; Jan Peters; Carlo D'Eramo Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: deep reinforcement learning; Q-learning; function approximation
4726	Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding Authors: Daqian Shao; Thomas Kleine Buening; Marta Kwiatkowska Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Imitation Learning; Hidden Confounders; Causal Inference; Reinforcement Learning; covariate shift; latent variable
4727	Causally Robust Reward Learning from Reason-Augmented Preference Feedback Authors: Minjune Hwang; Yigit Korkmaz; Daniel Seita; Erdem Biyik Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Preference-based learning; causal confusion; learning from human feedback; reward modeling
4728	Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns Authors: Dong Tian; Onur Celik; Gerhard Neumann Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Soft Actor-Critic (SAC); Transformer-based Critic; Sequence Chunking; N-step Returns; Critic Alignment; Double Q-Learning; Deep Reinforcement Learning
4729	Code Aesthetics with Agentic Reward Feedback Authors: Bang Xiao; Lingjie Jiang; Shaohan Huang; Tengchao Lv; Yupan Huang; Xun Wu; Lei Cui; Furu Wei Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large Language Model; Code Aesthetics; Reinforcement Learning
4730	Code Driven Planning with Domain-Adaptive Selector Authors: Zikang Tian; Shaohui Peng; Di Huang; Jiaming Guo; Ruizhi Chen; Rui Zhang; Xishan Zhang; Yuxuan Guo; Zidong Du; Qi Guo; Ling Li; Yewen Pu; Xing Hu; Yunji Chen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: LLM-based Planning; Planning Programs; Domain-Adaptive Selector; Large Language Models
4731	Combinatorial Rising Bandits Authors: Seockbean Song; Youngsik Yoon; Siwei Wang; Wei Chen; Jungseul Ok Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Combinatorial online learning; Rising bandit; Hierarchical planning
4732	ContextIF: Enhancing Instruction-Following through Context Reward Authors: Yule Zhong; Jiacheng Yao; Guoxiu He Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large Language Models; Instruction-Following; Reinforcement Learning; In-Context Learning
4733	Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Authors: Moritz Akiya Zanger; Pascal R. Van der Vaart; Wendelin Boehmer; Matthijs T. J. Spaan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Uncertainty Quantification; Epistemic Uncertainty; Reinforcement Learning; Deep Ensembles; Exploration; Neural Tangent Kernel
4734	Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning Authors: Xuefeng Wang; Lei Zhang; Henglin Pu; Ahmed H Qureshi; Husheng Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Continuous-time; multi-agent reinforcement learning; physics-informed neural networks
4735	Convergence of an actor-critic gradient flow for entropy regularised MDPs in general spaces Authors: Denis Zorba; David Siska; Lukasz Szpruch Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Gradient Flow; Markov Decision Process; Entropy Regularization; Non-convex optimization; Mirror descent method; Fisher–Rao gradient flo…
4736	Correlated Policy Optimization in Multi-Agent Subteams Authors: Dingyang Chen; Jianing Ye; Zhenyu Zhang; Xiaolong Kuang; Xinyang Shen; Ozalp Ozer; Chongjie Zhang; Qi Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; multi-agent coordination; Bayesian network; subteam
4737	Critique-Coder: Enhancing Coder Models by Critique Reinforcement Learning Authors: Chi Ruan; Dongfu Jiang; Yubo Wang; Wenhu Chen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Critique Reinforcement Learning; Reinforcement Learning; Critique Fine-Tuning; Large Language Models for Code Generation; Test-Time Scaling
4738	Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics Authors: Ming-Hong Chen; Kuan-Chen Pan; You-De Huang; Xi Liu; Ping-Chun Hsieh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Cross-domain reinforcement learning; transfer learning; Bellman consistency
4739	Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets Authors: Haruki Abe; Takayuki Osa; Yusuke Mukuta; Tatsuya Harada Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Cross-Embodiment Learning; Multi-Task Learning
4740	DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models Authors: Donya Jafari; Farzan Farnia Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Generative AI Models; LLMs; Prompt Routing; Contextual Bandits; Diversity
4741	DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs Authors: Xinyu Yao; Daniel Bourgeois; Abhinav Jain; Yuxin Tang; Jiawen Yao; Zhimin Ding; Arlei Silva; Chris Jermaine Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Distributed Systems; Reinforcement Learning; Graph Scheduling
4742	DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty Authors: Mingxuan Cui; Duo Zhou; Yuxuan Han; Grani A. Hanasusanto; Qiong Wang; Huan Zhang; Zhengyuan Zhou Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Distributionally Robust Optimization; Robust Reinforcement Learning
4743	Decoupled Q-Chunking Authors: Qiyang Li; Seohong Park; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; action chunking; offline RL
4744	Deep SPI: Safe Policy Improvement via World Models Authors: Florent Delgrange; Raphaël Avalos; Willem Röpke Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; guarantees; representation learning; model-based
4745	DeepCompress: A Dual Reward Strategy for Dynamically Exploring and Compressing Reasoning Chains Authors: Tian Liang; Wenxiang Jiao; Zhiwei He; Jiahao Xu; Haitao Mi; Dong Yu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large Reasoning Models; Reasoning Efficiency; Reinforcement Learning
4746	Demystifying The Mechanisms Behind Emergent Exploration in Goal-Conditioned RL Authors: Mahsa Bastankhah; Grace Liu; Dilip Arumugam; Thomas L. Griffiths; Benjamin Eysenbach Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Goal-Conditioned RL; Contrastive RL; Emergent exploration; Cognitive interpretability
4747	DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment Authors: Haoyou Deng; Keyu Yan; Chaojie Mao; Xiang Wang; Yu Liu; Changxin Gao; Nong Sang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: text-to-image generation; reinforcement learning; flow matching; preference alignment; group relative policy optimization
4748	Dichotomous Diffusion Policy Optimization Authors: Ruiming Liang; Yinan Zheng; Kexin ZHENG; Tianyi Tan; Jianxiong Li; Liyuan Mao; Zhihao Wang; Guang Chen; Hangjun Ye; Jingjing Liu; Jinqiao Wang; Xianyuan Zhan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; diffusion model; autonomous driving; robotics
4749	Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach Authors: Utsav Singh; Souradip Chakraborty; Wesley A. Suttle; Brian M. Sadler; Derrik E. Asher; Anit Kumar Sahu; Mubarak Shah; Vinay P. Namboodiri; Amrit Singh Bedi Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: hierarchical reinforcement learning; preference based learning
4750	Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning Authors: Marco Jiralerspong; Esther Derman; Danilo Vucetic; Nikolay Malkin; Bilun Sun; Tianyu Zhang; Pierre-Luc Bacon; Gauthier Gidel Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; GFlowNets; Robust RL; Regularized RL; Generative Models; Scientific Discovery
4751	Displacement-Resistant Extensions of DPO with Nonconvex $f$-Divergences Authors: Idan Pipano; Shoham Sabach; Kavosh Asadi; Mohammad Ghavamzadeh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Alignment; Direct Preference Optimization; Reinforcement Learning; f-divergences
4752	Distributional value gradients for stochastic environments Authors: Baptiste Debes; Tinne Tuytelaars Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Distributional Reinforcement Learning; Value Gradients; Sobolev Training; Stochastic Environments; MuJoCo Benchmarks; Noisy Dynamics
4753	Distributionally Robust Cooperative Multi-agent Reinforcement Learning with Value Factorization Authors: Chengrui Qu; Christopher Yeh; Kishan Panaganti; Eric Mazumdar; Adam Wierman Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: distributionally robust RL; cooperative multi-agent RL; Centralized training decentralized execution
4754	Distributions as Actions: A Unified Framework for Diverse Action Spaces Authors: Jiamin He; A. Rupam Mahmood; Martha White Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: deterministic policy gradient; actor-critic; continuous control; discrete control; hybrid control; action space; reinforcement learning
4755	Does “Do Differentiable Simulators Give Better Policy Gradients?” Give Better Policy Gradients? Authors: Ku Onoda; Paavo Parmas; Manato Yaguchi; Yutaka Matsuo Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Differentiable simulation; Reinforcement learning; Policy gradient; Model-based reinforcement learning; Monte Carlo gradient estimation; Reparameterization gra…
4756	Dual Goal Representations Authors: Seohong Park; Deepinder Mann; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; goal-conditioned rl; offline rl
4757	Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations Authors: William Sharpless; Dylan Hirsch; Sander Tonkens; Nikhil Uday Shinde; Sylvia Lee Herbert Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Hamilton-Jacobi Analysis; Dual Satisfaction; Safe Reinforcement Learning; Decomposition
4758	Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts Authors: Zhongjian Qiao; Rui Yang; Jiafei Lyu; Xiu Li; Zhongxiang Dai; Zhuoran Yang; Siyang Gao; Shuang Qiu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Cross-domain Policy Adaptation
4759	ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL Problems Authors: Egor Cherepanov; Alexey Kovalev; Aleksandr Panov Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: RL; POMDP; Memory; Transformer; Robotics
4760	EMFuse: Energy-based Model Fusion for Decision Making Authors: Kejie He; Yi-Chen Li; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Model Fusion; Energy-Based Model; Decision Making
4761	EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement Learning Authors: Jianfei Ma; Wee Sun Lee Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Bayesian RL; epistemic uncertainty; exploration
4762	EXPO: Stable Reinforcement Learning with Expressive Policies Authors: Perry Dong; Qiyang Li; Dorsa Sadigh; Chelsea Finn Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Imitation Learning
4763	Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization Authors: Yanning Dai; Yuhui Wang; Dylan R. Ashley; Jürgen Schmidhuber Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Morphology-Control Co-Design; Stackelberg Game Theory; Stackelberg Markov Game; Phase-Separated Interactions; Non-Differentiable Interactions; Reinforcement Le…
4764	Efficient Offline Reinforcement Learning via Peer-Influenced Constraint Authors: Yujia Zhang; Lin Li; Wei Wei; Jianguo Wu; Yi Ma; Jiye Liang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Distributional Shift; Peer-Influenced Constraint; Generalization; Uncertainty Estimation
4765	Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data Authors: Yi Zhao; Aidan Scannell; Wenshuai Zhao; Yuxin Hou; Tianyu Cui; Le Chen; Dieter Büchler; Arno Solin; Juho Kannala; Joni Pajarinen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reinforcement Learning from offline data
4766	Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL Authors: Manuel Serra Nunes; Atabak Dehban; Yiannis Demiris; Jose Santos-Victor Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Agent-awareness; Reinforcement Learning; Self-supervised Learning; Robotics
4767	Empowering Multi-Robot Cooperation via Sequential World Models Authors: Zijie Zhao; Honglei Guo; Shengqian Chen; Kaixuan Xu; Bo Jiang; Yuanheng Zhu; Dongbin Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Model-based Reinforcement Learning; Multi-Agent Reinforcement Learning; Multi-Robot Cooperation
4768	Enhancing Geometric Perception in VLMs via Translator-Guided Reinforcement Learning Authors: Hao Yu; Shuning Jia; Guanghao Li; Wenhao Jiang; Chun Yuan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Vision Language Models; Geometry Perception; Reinforcement Learning
4769	Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints Authors: Zilin Kang; Chonghua Liao; Tingqiang Xu; Huazhe Xu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Entropy; Continuous Control; Large Language Models; Image Classification
4770	Entropy-preserving reinforcement learning Authors: Aleksei Petrenko; Ben Lipkin; Kevin Chen; Erik Wijmans; Marco Francis Cusumano-Towner; Raja Giryes; Philipp Kraehenbuehl Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large language model; reinforcement learning; entropy; GRPO; PPO
4771	Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs Authors: Kang An; Ziliang Wang; Xuhui Zheng; FaQiang Qian; WeiKun Zhang; Yuhang Wang; Yichao Wu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Erasable Reinforcement Learning; Multi-hop Reasoning; LLM-based Agents
4772	Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization Authors: Zeyuan Liu; Jeonghye Kim; Xufang Luo; Dongsheng Li; Yuqing Yang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; LLM Agent; Exploration
4773	Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval and Synthesis for SLMs Authors: Shreyas Singh; Kunal Singh; Pradeep Moturi Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: DeepResearch; Reasoning; agentic reasoning
4774	Fine-tuning Behavioral Cloning Policies with Preference‑Based Reinforcement Learning Authors: Mael Macuglia; Paul Friedrich; Giorgia Ramponi Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Behavioral Cloning; Preference-Based Reinforcement Learning; Reinforcement Learning
4775	Flow Actor-Critic for Offline Reinforcement Learning Authors: Jongseong Chae; Jongeui Park; Yongjae Shin; Gyeongmin Kim; Seungyul Han; Youngchul Sung Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; offline reinforcement learning; flow actor-critic; flow policies; flow matching
4776	Flow Matching Policy Gradients Authors: David McAllister; Songwei Ge; Brent Yi; Chung Min Kim; Ethan Weber; Hongsuk Choi; Haiwen Feng; Angjoo Kanazawa Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Flow Matching; Policy Gradient
4777	Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning Authors: Yongjae Shin; Jongseong Chae; Jongeui Park; Youngchul Sung Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Offline-to-Online Reinforcement Learning; Flow Matching; Noise Injection
4778	Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning Authors: Prajwal Koirala; Cody Fleming Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Generative Models; Flow Matching; Behavior Cloning; Goal-Conditioned Reinforcement Learning
4779	FlowRL: Matching Reward Distributions for LLM Reasoning Authors: Xuekai Zhu; Daixuan Cheng; Dinghuai Zhang; Hengli Li; Kaiyan Zhang; Che Jiang; Youbang Sun; Ermo Hua; Yuxin Zuo; Xingtai Lv; Qizheng Zhang; Lin Chen; Fanghao Shao; Bo Xue; Yunchon… Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reward Distribution Matching; Flow Balance; LLM Reasoning
4780	Flowing Through States: Neural ODE Regularization for Reinforcement Learning Authors: Mohamed Ghanem; Bernd Finkbeiner Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Neural ODE; Reinforcement Learning; MDP; Regularization; Actor-Critic; A2C; PPO; Atari; Minigrid
4781	From Observations to Events: Event-Aware World Models for Reinforcement Learning Authors: Zhao-Han Peng; Shaohui Li; Zhi Li; Shulan Ruan; Yu LIU; You He Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: model-based reinforcement learning; online learning; reinforcement learning
4782	From Parameters to Behaviors: Unsupervised Compression of the Policy Space Authors: Davide Tenedini; Riccardo Zamboni; Mirco Mutti; Marcello Restelli Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; unsupervised reinforcement learning; unsupervised representation learning
4783	From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments Authors: Saket Tiwari; Tejas Kotwal; George Konidaris Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; stochastic processes; control theory
4784	GAS: Enhancing Reward-Cost Balance of Generative Model-assisted Offline Safe RL Authors: Zifan LIU; Xinran Li; Shibo Chen; Jun Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: offline safe reinforcement learning; constrained decision transformer; improving stitching ability
4785	GEPO: Group Expectation Policy Optimization for Stable Heterogeneous Reinforcement Learning Authors: Han Zhang; RuibinZheng; ZEXUAN YI; Zhuo Zhang; Hanyang Peng; Hui Wang; Jiayin Qi; Binxing Fang; Ruifeng Xu; Yue Yu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Mathematical Reasoning; Reinforcement Learning; Large Language Models; Decentralized Training; Heterogeneous Computing
4786	GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning Authors: Silvia Sapora; R Devon Hjelm; Omar Attia; Alexander T Toshev; Bogdan Mazoure Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: inverse reinforcement learning; large language models; evolution
4787	GRL-SNAM: Geometric Reinforcement Learning with Differential Hamiltonians for Navigation and Mapping in Unknown Environments Authors: Aditya Sai Ellendula; Yi Wang; Minh Phuong Nguyen; Chandrajit L. Bajaj Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Generalized Hamiltonian Manifolds; Differential Policy Optimization
4788	General search techniques without common knowledge for imperfect-information games, and application to superhuman Fog of War chess Authors: Brian Hu Zhang; Tuomas Sandholm Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: imperfect-information games; subgame solving; game theory
4789	Geometric-Mean Policy Optimization Authors: Yuzhong Zhao; Yue Liu; Junpeng Liu; Jingye Chen; Xun Wu; Yaru Hao; Tengchao Lv; Shaohan Huang; Lei Cui; Qixiang Ye; Fang Wan; Furu Wei Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: large language model; reinforcement learning; stability
4790	Geometry of Uncertainty: Learning Metric Spaces for Multimodal State Estimation in RL Authors: Alfredo Reichlin; Adriano Pacciarelli; Danica Kragic; Miguel Vasco Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multimodal; RL
4791	GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent System Authors: Yiqin Yang; Xu Yang; Yuhua Jiang; Ni Mu; Hao Hu; Runpeng Xie; Ziyou Zhang; Siyuan Li; Yuan-Hua Ni; Qianchuan Zhao; Bo XU Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Agent Systems; Partial Observability; Diffusion Models
4792	Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning Authors: Vittorio Giammarino; Ahmed H Qureshi Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Goal-conditioned Reinforcement Learning; Quasimetric RL; Eikonal Partial Differential Equation
4793	GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies Authors: He Zhang; Ying Sun; Hui Xiong Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Flow-matching policies
4794	Graph-Theoretic Intrinsic Reward: Guiding RL with Effective Resistance Authors: Jatin Chauhan; Shivam Bhardwaj; Aditya Saibewar; Aditya Ramesh; Sadbhavana Babar; Manohar Kaul Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Intrinsic Motivation; Goal Conditioned RL; Effective Resistance
4795	Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning Authors: Franki NGUIMATSIA TIOFACK; Théotime Le Hellard; Fabian Schramm; Nicolas Perrin-Gilbert; Justin Carpentier Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Behavior Cloning; Flow Matching
4796	Guided Policy Optimization under Partial Observability Authors: Yueheng Li; Guangming Xie; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; teacher-student learning; policy distillation; POMDPs; policy gradient
4797	Heterogeneous Agent Q-weighted Policy Optimization Authors: Bor-Jiun Lin; Chun-Yi Lee Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-agent Reinforcement Learning; Heterogeneous Agent Reinforcement Learning; Diffusion Policy; Policy Optimization
4798	Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion Authors: Dan Haramati; Carl Qi; Tal Daniel; Amy Zhang; Aviv Tamar; George Konidaris Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Deep Reinforcement Learning; Goal-conditioned Reinforcement Learning; Object-centric Representations; Diffusion Subgoal Generation
4799	Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks Authors: Shuo He; Lang Feng; Qi Wei; Xin Cheng; Lei Feng; Bo An Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; Policy optimization; Long-horizon tasks; Hierarchical groups
4800	Horizon Imagination: Efficient On-Policy Rollout in Diffusion World Models Authors: Lior Cohen; Ofir Nabati; Kaixin Wang; Navdeep Kumar; Shie Mannor Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: world models; diffusion; model-basedreinforcement learning
4801	House Of Dextra : Cross-Embodied Co-Design for Dexterous Hands Authors: Kehlani Fay; Darin Anthony Djapri; Anya Zorin; James Clinton; Ali El Lahib; Hao Su; Michael T. Tolley; Sha Yi; Xiaolong Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Co-Design; Manipulation; Robotics; Cross Embodiment; Robot Hands; Robot Learning; Reinforcement Learning; Hardware Design
4802	How to Lose Inherent Counterfactuality in Reinforcement Learning Authors: Ezgi Korkmaz Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reasoning; generalization; counterfactuality; alignment; AI safety; robust; inherent skills; reinforcement learning
4803	Imitation Learning as Return Distribution Matching Authors: Filippo Lazzati; Alberto Maria Metelli Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Imitation Learning; Behavioral Cloning; Risk; Theory
4804	Improving Human-AI Coordination through Online Adversarial Training and Generative Models Authors: Paresh R. Chaudhary; Yancheng Liang; Daphne Chen; Simon Shaolei Du; Natasha Jaques Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi agent; adversarial training; zero-shot coordination; human-AI interaction; cooperation; reinforcement learning
4805	Improving and Accelerating Offline RL in Large Discrete Action Spaces with Structured Policy Initialization Authors: Matthew Landers; Taylor W. Killian; Thomas Hartvigsen; Afsaneh Doryab Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; offline reinforcement learning; batch reinforcement learning; deep reinforcement learning; combinatorial action spaces; structured acti…
4806	In-Context Compositional Q-Learning for Offline Reinforcement Learning Authors: Qiushui Xu; Yu-Hao Huang; Yushu Jiang; Wenliang Zheng; Lei Song; Jinyu Wang; Jiang Bian Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: In-context Learning; Reinforcement Learning
4807	In-Context Learning for Pure Exploration Authors: Alessio Russo; Ryan Welch; Aldo Pacchiano Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: active sequential hypothesis testing; pure exploration; reinforcement learning; in-context learning; best arm identification
4808	Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards Authors: Jiajun Fan; Roger Ren; Jingyuan Li; Rahul Pandey; Prashanth Gurunath Shivakumar; Ivan Bulyko; Ankur Gandhe; Ge Liu; Yile Gu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Audio Large Language Models; Test-Time Inverse Scaling; Process-Oriented Rewards; Reasoning Length Calibration; Multimodal Reasoning; R…
4809	Information-based Value Iteration Networks for Decision Making Under Uncertainty Authors: Cynthia Chen; Samantha Johnson; Cindy Poo; Michael A Buice; Koosha Khalvati Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; value iteration networks; planning under uncertainty
4810	Intention-Conditioned Flow Occupancy Models Authors: Chongyi Zheng; Seohong Park; Sergey Levine; Benjamin Eysenbach Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; flow matching; latent variable model; pre-training and fine-tuning
4811	Inter-Agent Relative Representations for Multi-Agent Option Discovery Authors: Raul D. Steleac; Mohan Sridharan; David Abel Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Option Discovery; Multi-agent Reinforcement Learning
4812	Invert4TVG: A Temporal Video Grounding Framework with Inversion Tasks Preserving Action Understanding Ability Authors: Chenzhaoyu; Hongnan Lin; Yongwei Nie; Fei Ma; Xuemiao Xu; Fei Yu; Chengjiang Long Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Video Understanding & Activity Analysis
4813	Is Pure Exploitation Sufficient in Exogenous MDPs with Linear Function Approximation? Authors: Hao Liang; Jiayu Cheng; Sean R. Sinclair; Yali Du Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Exogenous Markov Decision Processes; Regret Analysis; Linear Function Approximation; Exploration-free
4814	Jackpot: Align Actor-Policy Distribution for scalable and stable RL for LLM Authors: Zhuoming Chen; Hongyi Liu; Yang Zhou; Haizhong Zheng; Beidi Chen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large language models; Reinforcement Learning
4815	KL-Regularized Reinforcement Learning for Generative Modelling is Designed to Mode Collapse Authors: Anthony GX-Chen; Jatin Prakash; Jeff Guo; Rob Fergus; Rajesh Ranganath Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; LLM; diversity; KL divergence
4816	Koopman-Assisted Trajectory Synthesis: A Data Augmentation Framework for Offline Imitation Learning Authors: Jin Wang; Pengcheng He; Ke Jiang; Xiaoyang Tan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Imitation Learning; Offline Reinforcement Learning; Data Augmentation
4817	Latent Wasserstein Adversarial Imitation Learning Authors: Siqi Yang; Kai Yan; Alex Schwing; Yu-Xiong Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: adversarial imitation learning; wasserstein distance; latent state space
4818	Learning Dynamics Feature Representation via Policy Attention for Dynamic Path Planning in Urban Road Networks Authors: Kai Zhang; Jingjing Gu; Qiuhong Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Dynamic Path Planning; Reinforcement Learning; State Representation; Dynamics Feature Representation; Policy Attention Mechanism
4819	Learning Efficient and Interpretable Multi-Agent Communication Authors: Wei Du; Benyu Wu; YUQING SUN; Wei Guo; Yuntao Du; Zhongmin Yan; Guoxian Yu; Lizhen Cui Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-agent communication; reinforcement learning; contrastive learning; language grounding
4820	Learning Massively Multitask World Models for Continuous Control Authors: Nicklas Hansen; Hao Su; Xiaolong Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; world models; continuous control
4821	Learning More with Less: A Dynamic Dual-Level Down-Sampling Framework for Efficient Policy Optimization Authors: Chao Wang; Tao Yang; Hongtao Tian; Yunsheng Shi; Qiyao Ma; XiaotaoLiu; Ting Yao; Wenbo Ding Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Policy Optimization; Down-Sampling
4822	Learning from Algorithm Feedback: One-Shot SAT Solver Guidance with GNNs Authors: Jan Tönshoff; Martin Grohe Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Graph Neural Networks; Combinatorial Optimization; SAT Solving; GNNs; Graph Learning; GRPO
4823	Learning to Be Uncertain: Pre-training World Models with Horizon-Calibrated Uncertainty Authors: Shenghua Wan; Le Gan; De-Chuan Zhan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: World Models; Unsupervised Pre-training; Temporal Relative Embeddings; Horizon-Calibrated Uncertainty
4824	Less Is More: Clustered Cross-Covariance Control for Offline RL Authors: Nan Qiao; Sheng Yue; Shuning Wang; Yongheng Deng; Ju Ren Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; offline RL; OOD area; Clustering-based RL
4825	Leveraging Explanation to Improve Generalization of Meta Reinforcement Learning Authors: Shicheng Liu; Minghui Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: meta-reinforcement learning; generalization; theory
4826	Lipschitz Bandits with Stochastic Delayed Feedback Authors: Zhongxuan Liu; Yue Kang; Thomas Lee Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: bandit; Lipschitz bandit
4827	Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions Authors: Zequan Wu; Mengye Ren Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: neural network; localized learning; reinforcement leaning; biologically plausible learning
4828	Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents Authors: Yaorui Shi; Yuxin Chen; Siyuan Wang; Sihang Li; Hengxing Cai; Qi GU; Xiang Wang; An Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: LLM Agent; Reinforcement Learning; Long-Context LLM
4829	Look-ahead Reasoning with a Learned Model in Imperfect Information Games Authors: Ondrej Kubicek; Viliam Lisý Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Imperfect Information Games; Two-player Zero-sum Games; Reinforcement Learning; Learned Game Models; Game Abstraction; Look-ahead Search; Value Function; Conti…
4830	MAGE: Multi-scale Autoregressive Generation for Offline Reinforcement Learning Authors: Chenxing Lin; Xinhui Gao; Haipeng Zhang; Xinran Li; Haitao Wang; Songzhu Mei; Chenglu Wen; Weiquan Liu; Siqi Shen; Cheng Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Auto-Regressive; Multi-Scale; Long-horizon
4831	MAGO: Beyond Fixed Hyperparameters with Multi-Objective Pareto Optimization for Hybrid LLM Reasoning Authors: Hongcheng Ding; Xuanze Zhao; Ruiting Deng; Shamsul Nahar Abdullah; Deshinta Arrova Dewi; LIU QINGYU Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-objective optimization; Pareto optimization; Large language models; Hybrid reasoning; Chain-of-thought reasoning; Reinforcement learning
4832	MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance Authors: Narjes Nourzad; Carlee Joe-Wong Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning (RL); Large language models (LLMs); Memory Graph; LLM-derived priors; Sample Efficiency; Sparse-Reward Environments
4833	MIRACLE: Model-free Imitation and Reinforcement Learning for Adaptive Cut-Selection Authors: Arjun M.; Rijul Tandon; Agam Gupta; HARIPRASAD KODAMANA; Manojkumar Ramteke Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Model-Based Reinforcement Learning; Adversarial Reward Learning; Proximal Policy Optimization; Mixed-Integer Programming; Combinatorial Optimization
4834	MOBODY: Model-Based Off-Dynamics Offline Reinforcement Learning Authors: Yihong Guo; Yu Yang; Pan Xu; Anqi Liu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; off-dynamics RL; domain adaptation; model-based RL
4835	MVR: Multi-view Video Reward Shaping for Reinforcement Learning Authors: Lirui Luo; Guoxi Zhang; Hongming Xu; Yaodong Yang; Cong Fang; Qing Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reward Shaping; Reinforcement Learning; VLM Reward
4836	Masked Skill Token Training for Hierarchical Off-Dynamics Transfer Authors: Zeyu Feng; Haiyan Yin; Yew-Soon Ong; Harold Soh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Tranfser Learning; Skills; Hierarchical RL; Embodied AI
4837	Matching Multiple Experts: On the Exploitability of Multi-Agent Imitation Learning Authors: Antoine Bergerault; Volkan Cevher; Negar Mehr Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: imitation learning; multi-agent systems; behavioral cloning; Nash imitation gap
4838	Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents Authors: Yiming Du; Baojun Wang; Yifan Xiang; Zhaowei Wang; Wenyu Huang; Boyang XUE; Bin Liang; Xingshan Zeng; Fei Mi; Haoli Bai; Lifeng Shang; Jeff Z. Pan; Yuxin Jiang; Kam-Fai Wong Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: temporal reasoning; reinforcement learning; memory selection; multi-session dialogue
4839	Minimax Optimal Adversarial Reinforcement Learning Authors: Yudan Wang; Kaiyi Ji; Ming Shi; Shaofeng Zou Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: episodic MDPs; adversarial RL; minimax-optimal regret bound
4840	Mirage or Method? How Model–Task Alignment Induces Divergent RL Conclusions Authors: Haoze Wu; Cheng Wang; Wenshuo Zhao; Junxian He Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; reasoning
4841	Mixture-of-World Models: Scaling Multi-Task Reinforcement Learning with Modular Latent Dynamics Authors: Boxuan Zhang; Weipu Zhang; Zhaohan Feng; Wei Xiao; Jian Sun; Jie Chen; Gang Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-task reinforcement learning; world model; transformer; mixture-of-world models
4842	Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting Authors: Zhongjian Qiao; Jiafei Lyu; Boxiang Lyu; Yao Shu; Siyang Gao; Shuang Qiu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline RL; Model-based RL
4843	Multi-Action Self-Improvement For Neural Combinatorial Optimization Authors: Laurin Luttmann; Lin Xie Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Self-improvement learning; Multi-agent Combinatorial Optimization; Multi-agent coordination; Bipartite matching
4844	Multi-Agent Guided Policy Optimization Authors: Yueheng Li; Guangming Xie; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; teacher-student learning; centralized training with decentralized execution
4845	Multi-agent Coordination via Flow Matching Authors: Dongsu Lee; Daehee Lee; Amy Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-agent reinforcement learning; Flow matching
4846	Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning Authors: Shangzhe Li; Dongruo Zhou; Weitong Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: imitation learning; model-based learning
4847	Negotiated Reasoning: On Provably Addressing Relative Over-Generalization Authors: Junjie Sheng; Yantian Wang; Bo Jin; Hongyuan Zha; Jun Wang; Wenhao Li; Xiangfeng Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Relative Over-Generalization; Stein variational gradient descent
4848	OPPO: Accelerating PPO-based RLHF via Pipeline Overlap Authors: Kaizhuo Yan; YingJie Yu; Yifan Yu; Haizhong Zheng; Fan Lai Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning from Human Feedback; Training Efficiency
4849	OPRIDE: Efficient Offline Preference-based Reinforcement Learning via In-Dataset Exploration Authors: Yiqin Yang; Hao Hu; Yihuan Mao; Jin Zhang; Chengjie Wu; Yuhua Jiang; Xu Yang; Runpeng Xie; Yi Fan; Bo Liu; Yang Gao; Bo XU; Chongjie Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Agent Systems; Partial Observability; Diffusion Models
4850	Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement Learning Authors: Weipu Zhang; Adam Jelley; Trevor McInroe; Amos Storkey; Gang Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Model-based RL; Object-centric RL; Video object segmentation; Atari; Hollow Knight
4851	Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning Authors: Aravind Venugopal; Jiayu Chen; Xudong Wu; Chongyi Zheng; Benjamin Eysenbach; Jeff Schneider Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Goal-Conditioned Reinforcement Learning; Reward Shaping
4852	Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAX Authors: Waris Radji; Thomas Michel; Hector Piteau Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Benchmarking; CHIP-8; JAX; Environments; Simulation; Acceleration
4853	Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies Authors: Koichi Tanaka; Kazuki Kawamura; Takanori Muroi; Yusuke Narita; Yuki Sasamoto; Kei Tateno; Takuma Udagawa; Wei-Wei Du; Yuta Saito Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: off-policy evaluation; ranking; common support; deterministic logging
4854	Off-Policy Safe Reinforcement Learning with Cost-Constrained Optimistic Exploration Authors: Guopeng Li; Matthijs T. J. Spaan; Julian F. P. Kooij Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: constrained reinforcement learning; safe reinforcement learning; safe exploration; epistemic uncertainty quantification
4855	Offline Preference-Based Value Optimization Authors: Hyungkyu Kang; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: offline reinforcement learning; preference-based reinforcement learning
4856	Offline Reinforcement Learning with Adaptive Feature Fusion Authors: Tieru Wang; Kunbao Wu; Guoshun Nan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Trajectory Stitching
4857	On Discovering Algorithms for Adversarial Imitation Learning Authors: Shashank Reddy Chirra; Jayden Teoh; Praveen Paruchuri; Pradeep Varakantham Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: imitation learning; algorithm discovery; llms; evolutionary algorithms
4858	On Entropy Control in LLM-RL Algorithms Authors: Han Shen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; LLM
4859	On the Computational Limits of AI4S-RL : A Unified $\varepsilon$-$N$ Analysis Authors: Qili Shen; Kairui Feng; Ang He; Xuanhong Chen; Dake Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: AI for Science; Reinforcement Learning; PDE Control; Surrogate Modeling
4860	On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning Authors: Yifan Zhang; Yifeng Liu; Huizhuo Yuan; Yang Yuan; Quanquan Gu; Andrew C Yao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: LLM reasoning; reinforcement learning
4861	On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification Authors: Yongliang Wu; Yizhou Zhou; Zhou Ziheng; Yingzhe Peng; Xinyu Ye; Xinting Hu; Wenbo Zhu; Lu Qi; Ming-Hsuan Yang; Xu Yang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Supervised Fine-Tuning; Large Language Model; Reinforcement Learning
4862	On the Tension Between Optimality and Adversarial Robustness in Policy Optimization Authors: Haoran Li; Jiayu Lv; Congying Han; Zicheng Zhang; Anqi Li; Yan Liu; Tiande Guo; Nan Jiang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; adversarial robustness; policy optimization; theory-practice gap; bilevel optimization
4863	One Model for All Tasks: Leveraging Efficient World Models in Multi-Task Planning Authors: Yuan Pu; Yazhe Niu; Jia Tang; Junyu Xiong; Shuai Hu; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; multi-task reinforcement learning; world model; MCTS; latent space planning
4864	One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Learning Authors: Thanh Xuan Nguyen; Chang D. Yoo Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; Diffusion Model; Flow Matching; Offline Reinforcement Learning
4865	Optimal Robust Subsidy Policies for Irrational Agent in Principal-Agent MDPs Authors: Bowen Hu; Yixin Tao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Principal-Agent Problem; Markov Decision Process; Reinforcement Learning
4866	Parameter-Efficient Reinforcement Learning using Prefix Optimization Authors: Itamar Rocha Filho; Rosie Zhao; Sham M. Kakade; Eran Malach; Samy Jelassi Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning with verifiable rewards; parameter efficient tuning
4867	Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments Authors: Junwoo Chang; Minwoo Park; Joohwan Seo; Roberto Horowitz; Jongmin Lee; Jongeun Choi Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Group Equivariance; Reinforcement Learning; Robotics
4868	Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-based Offline RL Authors: Zhiwei Xu; Miduo Cui; Dapeng Li; Zhihao Liu; Haifeng Zhang; Hangyu Mao; Guoliang Fan; Bin Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Transformer
4869	Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning Authors: Byeongchan Kim; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline reinforcement learning; Offline-to-online settings; Multi-step operator
4870	Policy Likelihood-based Query Sampling and Critic-Exploited Reset for Efficient Preference-based Reinforcement Learning Authors: Jongkook Heo; Jaehoon Kim; Young Jae Lee; Min Gu Kwak; Youngjoon Park; Seoung Bum Kim Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: preference-based reinforcement learning; robotic manipulation; locomotion
4871	Policy Newton Algorithm in Reproducing Kernel Hilbert Space Authors: Yixian Zhang; Huaze Tang; Changxu Wei; Chao Wang; Wenbo Ding Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; RKHS; Newton method
4872	PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning Authors: Shunpeng Yang; Ben Liu; Hua Chen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Continuous Normalizing Flow; Entropy Regularization; Proximal Policy Optimization; Multimodal Policy
4873	Polychromic Objectives for Reinforcement Learning Authors: Jubayer Ibn Hamid; Ifdita Hasan Orney; Ellen Xu; Chelsea Finn; Dorsa Sadigh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Exploration
4874	Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning Authors: Chang Huang; Shatong Zhu; Junqiao Zhao; Hongtu Zhou; Hai Zhang; Di Zhang; Chen Ye; Ziqiao Wang; Guang Chen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Value function factorization; Multi-Agent
4875	Predictive CVaR Q-learning Authors: Ju-Hyun Kim; Seungki Min Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: CVaR optmization; Risk-sensitive RL; Q-learning; Bellman equation; Policy improvemen
4876	Preference-based Policy Optimization from Sparse-reward Offline Dataset Authors: Wenjie Qiu; Guofeng Cui; Shicheng Liu; Yuanlin Duan; He Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Offline Reinforcement Learning; Preference-based Reinforcement Learning
4877	Primal-Dual Policy Optimization for Linear CMDPs with Adversarial Losses Authors: Kihyun Yu; Seoungbin Bae; Dabeen Lee Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Safe Reinforcement Learing; Adversarial Linear Constrained MDP; Policy Optimization
4878	Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning Authors: Ke Sun; Hongming Zhang; Jun Jin; Chao Gao; Xi Chen; Wulong Liu; Linglong Kong Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: continual learning; reinforcement learning; meta learning
4879	Probing in the Dark: State Entropy Maximization for POMDPs Authors: Yonatan Ashlag; Mirco Mutti; Aviv Tamar; Kfir Yehuda Levy Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Unsupervised RL; State entropy maximization; POMDPs; Information states
4880	Prompt Curriculum Learning for Efficient LLM Post-Training Authors: Zhaolin Gao; Joongwon Kim; Wen Sun; Thorsten Joachims; Sid Wang; Richard Yuanzhe Pang; Liang Tan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; large language models; post-training; curriculum learning
4881	Q-Learning with Adjoint Matching Authors: Qiyang Li; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; flow-matching
4882	Q-Learning with Fine-Grained Gap-Dependent Regret Authors: Haochen Zhang; Zhong Zheng; Lingzhou Xue Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Q-Learning; Regret; Suboptimality Gap.
4883	Q-learning with Posterior Sampling Authors: Priyank Agrawal; Shipra Agrawal; Azmat Azati Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning Theory; Regret Analysis; Posterior Sampling; Q-learning
4884	Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning Authors: Junkang Wu; Kexin Huang; Jiancan Wu; An Zhang; Xiang Wang; Xiangnan He Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: RLVR; LLM reasoning; entropy explosion; advantage estimation
4885	Queue Length Regret Bounds for Contextual Queueing Bandits Authors: Seoungbin Bae; Garyeong Kang; Dabeen Lee Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Queueing bandits; contextual bandits; logistic bandits
4886	R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation Authors: Naoki Morihira; Amal Nahar; Kartik Bharadwaj; Yasuhiro Kato; Akinobu Hayashi; Tatsuya Harada Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: model-based reinforcement learning; world models; representation learning
4887	RD-HRL: Generating Reliable Sub-Goals for Long-Horizon Sparse-Reward Tasks Authors: Yixiang Shan; Haipeng Liu; Ting Long; Yi Chang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Hierarchical Reinforcement Learning; Sub-goal; Key States; Choice Learning; Reinforcement Learning; Goal-conditioned Reinforcement Learning
4888	REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Reasoning Authors: Hexuan Deng; Wenxiang Jiao; Xuebo Liu; Jun Rao; Min Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: online reinforcement learning; large reasoning model; efficient reasoning; overthinking; reflection
4889	RL of Thoughts: Navigating LLM Reasoning with Inference-time Reinforcement Learning Authors: Qianyue Hao; Sibo Li; Jian Yuan; Yong Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large language models; reasoning; reinforcement learning
4890	RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents Authors: Peisong Wang; Ruotian Ma; Bang Zhang; Xingyu Chen; Zhiwei He; Kang Luo; Qingsong Lv; Qingxuan Jiang; Zheng Xie; Shanyi Wang; CIXING LI; Yuan Li; Fanghua Ye; Jian Li; Yifan Yang; J… Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large language models; Reinforcement Learning; Agent
4891	ReFORM: Reflected Flows for On-support Offline RL via Noise Manipulation Authors: Songyuan Zhang; Oswin So; H M Sabbir Ahmad; Eric Yang Yu; Matthew Cleaveland; Mitchell Black; Chuchu Fan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline reinforcement learning; support constraint; flow model
4892	Recurrent Action Transformer with Memory Authors: Egor Cherepanov; Aleksei Staroverov; Alexey Kovalev; Aleksandr Panov Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: RL; Offline RL; Memory; Transformers; POMDP
4893	Reevaluating Policy Gradient Methods for Imperfect-Information Games Authors: Max Rudolph; Nathan Lichtlé; Sobhan Mohammadpour; Alexandre M Bayen; J Zico Kolter; Amy Zhang; Gabriele Farina; Eugene Vinitsky; Samuel Sokota Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: imperfect-information games; two-player zero-sum games; reinforcement learning; multi agent; game theory
4894	Reference Grounded Skill Discovery Authors: Seungeun Rho; Aaron Trinh; Danfei Xu; Sehoon Ha Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Skill Discovery; Imitation Learning; Unsupervised RL; Reinforcement Learning; Motion Imitation
4895	Regret-Guided Search Control for Efficient Learning in AlphaZero Authors: Yun-Jui Tsai; Wei-Yu Chen; Yan-Ru Ju; Yu-Hung Chang; Ti-Rong Wu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Search Control; Reinforcement Learning; Regret Prioritization; Monte Carlo Tree Search; AlphaZero
4896	Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models Authors: Pranaya Jajoo; Harshit Sikchi; Siddhant Agarwal; Amy Zhang; Scott Niekum; Martha White Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Behavioral Foundation Models (BFMs); Zero-shot Reinforcement Learning; Zero-shot RL; Representation Learning; Unsupervised RL
4897	Reinforcement Learning for Machine Learning Engineering Agents Authors: Sherry Yang; Joy He-Yueya; Percy Liang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Machine learning engineering; language model agents; reinforcement learning
4898	Reinforcement Learning via Value Gradient Flow Authors: Haoran Xu; Kaiwen Hu; Somayeh Sojoudi; Amy Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: rl with generative models; offline rl; llm rl; flow matching; optimal transport
4899	Reinforcement Mid-Training Authors: Yijun Tian; Shaoyu Chen; Zhichao Xu; Yawei Wang; Jinhe Bi; Peng Han; Wei Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Mid-training; Reinforcement Learning
4900	Reinforcing Diffusion Models by Direct Group Preference Optimization Authors: Yihong Luo; Tianyang Hu; Jing Tang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Diffusion Models; Reinforcement Learning
4901	Relative Entropy Pathwise Policy Optimization Authors: Claas A Voelcker; Axel Brunnbauer; Marcel Hussing; Michal Nauman; Pieter Abbeel; Radu Grosu; Eric Eaton; Amir-massoud Farahmand; Igor Gilitschenski Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; parallel simulation; value function; ppo; policy gradients; policy optimization
4902	Relative Value Learning Authors: Marc Höftmann; Jan Robine; Stefan Harmeling Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Relative Value Learning; On-Policy Actor-Critic; GAE; PPO
4903	Reliability-Adjusted Prioritized Experience Replay Authors: Leonard S. Pleiss; Tobias Sutter; Maximilian Schiffer Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Deep Reinforcement Learning; Temporal Difference Learning; Experience Replay
4904	Replicable Reinforcement Learning with Linear Function Approximation Authors: Eric Eaton; Marcel Hussing; Michael Kearns; Aaron Roth; Sikata Bela Sengupta; Jessica Sorrell Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; learning theory; replicability; stability; linear MDP
4905	Representation-Based Exploration for Language Models: From Test-Time to Post-Training Authors: Jens Tuyls; Dylan J Foster; Akshay Krishnamurthy; Jordan T. Ash Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Exploration; language models; reinforcement learning; test-time scaling
4906	Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning Authors: Yonghyeon Jo; Sunwoo Lee; Seungyul Han Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Value Decomposition; Centralized Training with Decentralized Execution; Exploration
4907	Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning Authors: Naoki Shitanda; Motoki Omura; Tatsuya Harada; Takayuki Osa Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Distributed Reinforcement Learning; Agent Ensemble Learning; Agent Diversity; Exploration Efficiency
4908	Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching Authors: Dongxie Wen; Hanyan Yin; Xiao Zhang; Peng Zhao; Lijun Zhang; Zhewei Wei Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Linear Bandits; Matrix Sketching; Multi-scale Sketching
4909	RiskPO: Risk-based Policy Optimization with Verifiable Reward for LLM Post-Training Authors: Tao Ren; Jinyang Jiang; Hui Yang; Wan Tian; Minhao Zou; Guanghao Li; Zishi Zhang; Qinghao Wang; Shentao Qin; Yanjun Zhao; Rui Tao; Hui Shao; Yijie Peng Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning with Verifiable Reward; Risk-Sensitive RL
4910	RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields Authors: Som Sagar; Jiafei Duan; Sreevishakh Vasudevan; Yifan Zhou; Heni Ben Amor; Dieter Fox; Ransalu Senanayake Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Multimodal Embedding
4911	Robust Adaptive Multi-Step Predictive Shielding Authors: Tanmay Ambadkar; Darshan Chudiwal; Greg Anderson; Abhinav Verma Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Safe Reinforcement Learning; Control Barrier functions; Model Predictive shielding
4912	Robustness in the Face of Partial Identifiability in Reward Learning Authors: Filippo Lazzati; Alberto Maria Metelli Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Inverse Reinforcement Learning; Reward Learning; Preference Based Reinforcement Learning; Theory
4913	SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling Authors: Yixian Zhang; Shu'ang Yu; Tonghe Zhang; Mo Guang; Haojia Hui; Kaiwen Long; Yu Wang; Chao Yu; Wenbo Ding Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Flow-based policy; Sample-Efficient Reinforcement Learning; Soft actor critic; Sequential Modeling
4914	SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration Authors: Kaustubh Mani; Yann Pequignot; Vincent Mai; Liam Paull Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Safe Exploration; Sharpness Aware Minimization; Epistemic Uncertainty
4915	SPACeR: Self-Play Anchoring with Centralized Reference Models Authors: Wei-Jer Chang; Akshay Rangesh; Kevin Joseph; Matthew Strong; Masayoshi Tomizuka; yihan hu; Wei Zhan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-agent reinforcement learning; traffic simulation; autonomous vehicles; planning
4916	SPELL: Self-Play Reinforcement Learning for Evolving Long-Context Language Models Authors: Ziyi Yang; Weizhou Shen; Chenliang Li; Ruijun Chen; Fanqi Wan; Ming Yan; Xiaojun Quan; Fei Huang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Self-Play; Reinforcement Learning; Long-Context Reasoning; Large Language Models
4917	SSVPO: Effective Step-Level Credit Assignment for RL Training of Language Models Authors: Yugu Li; Zehong Cao; Jianglin Qiao; Siyi Hu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Credit Assignment; Reinforcement Learning; Step-Level Reward; Large Language Model
4918	STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure TransFormer for Offline Mulit-task Multi-agent Reinforcement Learning Authors: Jiwon Jeon; Myungsik Cho; Youngchul Sung Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; multi-agent; multi-task; transformer; offline learning
4919	SUSD: Structured Unsupervised Skill Discovery through State Factorization Authors: Seyed Mohammad Hadi Hosseini; Mahdieh Soleymani Baghshah Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Unsupervised Skill Discovery; Hierarchical RL
4920	Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form Authors: Xuefeng Wang; Lei Zhang; Henglin Pu; Husheng Li; Ahmed H Qureshi Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Continuous-time; safe multi-agent reinforcement learning; epigraph
4921	Safe Exploration via Policy Priors Authors: Manuel Wendl; Yarden As; Manish Prajapat; Anton Pollak; Stelian Coros; Andreas Krause Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Deep Reinforcement Learning; Safe Exploration; Safe RL; Constrained Markov Decision Processes
4922	SafeMPO: Constrained Reinforcement Learning with Probabilistic Incremental Improvement Authors: Alexander Mattick; Dominik Seuß; Christopher Mutschler Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Constrained Reinforcement Learning
4923	Sample Efficient Offline RL via T-Symmetry Enforced Latent State-Stitching Authors: Peng Cheng; Zhihao Wu; Jianxiong Li; Ziteng He; Haoran Xu; Wei Sun; Youfang Lin; Yunxin Liu; Xianyuan Zhan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: sample efficiency; representation learning; fundamental symmetry for dynamic modeling
4924	Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning Authors: Vaishnavi Shrivastava; Ahmed Hassan Awadallah; Vidhisha Balachandran; Shivam Garg; Harkirat Behl; Dimitris Papailiopoulos Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning for LLMs; LLM Reasoning; Efficient Reasoning; Policy Optimization
4925	Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction Authors: Zain Ulabedeen Farhat; Debamita Ghosh; George K. Atia; Yue Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: distributionally robust; multi-agent; markov game
4926	Sample-efficient and Scalable Exploration in Continuous-Time RL Authors: Klemens Iten; Lenart Treven; Bhavya Sukhija; Florian Dorfler; Andreas Krause Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: continuous-time reinforcement learning; model-based RL; intrinsic rewards; epistemic uncertainty; exploration-exploitation trade-off
4927	Scalable Exploration for High-Dimensional Continuous Control via Value-Guided Flow Authors: Yunyue Wei; Chenhui Zuo; Yanan Sui Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Scalable exploration; high-dimensional continuous control
4928	Scalable In-Context Q-Learning Authors: Jinmei Liu; Fuhong Liu; Zhenhong Sun; Jianye HAO; Huaxiong Li; Bo Wang; Daoyi Dong; Chunlin Chen; Zhi Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: In-context reinforcement learning; Q-learning; advantage-weighted regression; world model
4929	Scalable Offline Model-Based RL with Action Chunks Authors: Kwanyoung Park; Seohong Park; Youngwoon Lee; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline RL; World Models; Model-based RL; Action chunking; Long-horizon tasks
4930	Scaling Goal-conditioned Reinforcement Learning with Multistep Quasimetric Distances Authors: Bill Zheng; Vivek Myers; Benjamin Eysenbach; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Goal-conditioned reinforcement learning; quasimetrics; robotics
4931	Search Self-Play: Pushing the Frontier of Agent Capability without Supervision Authors: Hongliang Lu; Yuhang Wen; Pengyu Cheng; Ruijin Ding; Jiaqi Guo; Haotian Xu; Chutian Wang; Haonan Chen; xiaoxi jiang; guanjunjiang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Self-Play; Deep Search; LLM; Agent; RLVR
4932	Self-Aligned Reward: Towards Effective and Efficient Reasoners Authors: Peixuan Han; ADIT KRISHNAN; Gerald Friedland; Jiaxuan You; Luyang Kong Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; large language model; Efficiency; Internal Signal
4933	Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning Authors: Seungyul Han; Sanghyeon Lee; Sangjun Bae; Yisak Park Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Meta Reinforcement Learning; Skill-based Reinforcement Learning; Hierarchical; Noisy Demonstration; Skill Refinement; Generalization
4934	Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning Authors: Daniel Lawson; Adriana Hugessen; Charlotte Cloutier; Glen Berseth; Khimya Khetarpal Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Sequential Decision Making; Combinatorial Generalization; Representation Learning
4935	SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Authors: Zhenghai Xue; Longtao Zheng; Qian Liu; Yingru Li; Xiaosen Zheng; Zejun MA; Bo An Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large Language Models; Tool Integrated Reasoning; Reinforcement Learning; Code Generation; LLM Reasoning
4936	Simplicial Embeddings Improve Sample Efficiency in Actor–Critic Agents Authors: Johan Obando-Ceron; Walter Mayor; Samuel Lavoie; Scott Fujimoto; Aaron Courville; Pablo Samuel Castro Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; deep reinforcement learning; actor critic; representation learning; state embeddings
4937	Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning Authors: Patrik Reizinger; Bálint Mucsányi; Siyuan Guo; Benjamin Eysenbach; Bernhard Schölkopf; Wieland Brendel Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; representation learning; identifiability; ICA; exploration; unsupervised skill discovery
4938	Solving Football by Exploiting Equilibrium Structure of 2p0s Differential Games with One-Sided Information Authors: Mukesh Ghimire; Lei Zhang; Zhe Xu; Yi Ren Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Differential Game; Incomplete-Information Game; Game Theory
4939	Solving General-Utility Markov Decision Processes in the Single-Trial Regime with Online Planning Authors: Pedro Pinto Santos; Alberto Sardinha; Francisco S. Melo Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; Convex reinforcement learning; Markov decision processes; Sequential decision-making
4940	Solving Parameter-Robust Avoid Problems with Unknown Feasibility using Reinforcement Learning Authors: Oswin So; Eric Yang Yu; Songyuan Zhang; Matthew Cleaveland; Mitchell Black; Chuchu Fan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Optimal Control; Deep Reachability
4941	Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs Authors: Haoming Meng; Kexin Huang; Shaohang Wei; Chiyu Ma; Shuo Yang; Xue Wang; Guoyin Wang; Bolin Ding; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: LLM Reasoning; RLVR
4942	Spectral Bellman Method: Unifying Representation and Exploration in RL Authors: Ofir Nabati; Bo Dai; Shie Mannor; Guy Tennenholtz Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; represetation learning
4943	Stackelberg Coupling of Online Representation Learning and Reinforcement Learning Authors: Fernando Martinez; Tao Li; Yingdong Lu; Juntao Chen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Representation Learning; Q-learning; Stackelberg Equilibrium; Two-timescale
4944	Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game Authors: Barna Pásztor; Thomas Kleine Buening; Andreas Krause Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: alignment; rhlf; preference optimization; game theory; human feedback; test-time improvement
4945	Statistical Guarantees for Offline Domain Randomization Authors: Arnaud Fickinger; Abderrahim Bendahi; Stuart Russell Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Domain Randomization; Sim-To-Real
4946	Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty Authors: Zewei Yu; Lirong Gao; Yuke Zhu; Bo Zheng; Junbo Zhao; Sheng Guo; Haobo Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large Language Models; Efficient Reasoning; Reinforcement Learning; Adaptive Coordinated Penalty
4947	Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning Authors: Seungyul Han; Jaebak Hwang; Sanghyeon Lee; Jeongmo Kim Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: goal-conditioned reinforcement learning; hierarchical reinforcement learning; sparse reward; long-horizon tasks; graph-based policy learning; subgoal planning
4948	Structured Reasoning for LLMs: A Unified Framework for Efficiency and Explainability Authors: Yubo Dong; Hehe Fan; Linchao Zhu; Yi Yang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Chain of thought; Reinforcement Learning; Neurosymbolic AI; Interpretability
4949	TIPS: Turn-level Information-Potential Reward Shaping for Search-Augmented LLMs Authors: Yutao Xie; Nathaniel Thomas; Nicklas Hansen; Yang Fu; Li Erran Li; Xiaolong Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Agentic LLM; Reinforcement Learning; Question Answering
4950	TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design Authors: Geonwoo Cho; Jaegyun Im; Jihwan Lee; Hojun Yi; Sejin Kim; Sundong Kim Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: unsupervised environment design; autocurricula; zero-shot coordination
4951	Tackling Heavy-Tailed Q-Value Bias in Offline-to-Online Reinforcement Learning with Laplace-Robust Modeling Authors: Ruibo Guo; Lei Liu; Rui Yang; Junjie Shen; Guoping Wu; Jie Wang; Bin Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Offline-to-Online; Q-value Estimation; Laplace Distribution
4952	Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models Authors: Ron Vainshtein; Zohar Rimon; Shie Mannor; Chen Tessler Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Hierarchial Reinforcement Learning; Behavior Foundation Models; Humanoid Control
4953	Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards Authors: Faisal Mohamed; Catherine Ji; Benjamin Eysenbach; Glen Berseth Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; exploration; intrinsic motivation; surprise; empowerment; contrastive learning
4954	Text2Grad: Reinforcement Learning from Natural Language Feedback Authors: Hanyang Wang; Lu Wang; Chaoyun Zhang; Tianjun Mao; Si Qin; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Natural Language Feedback; Fine-Grained Policy Optimization; Reinforcement Learning for Language Models
4955	The Rank and Gradient Lost in Non-stationarity: Sample Weight Decay for Mitigating Plasticity Loss in Reinforcement Learning Authors: Zihao Wu; Hongyao Tang; Yi Ma; Jiashun Liu; YAN ZHENG; Jianye HAO Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; non-stationary data distributions; plasticity loss
4956	The State of Reinforcement Finetuning for Transformer-based Agents Authors: Shengchao Hu; Peng Wang; Guozheng Ma; Shi Fu; Li Shen; Ya Zhang; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Finetuning; Meta-RL; Generative Agents
4957	TimeSearch-R: Adaptive Temporal Search for Long-Form Video Understanding via Self-Verification Reinforcement Learning Authors: Junwen Pan; Qizhe Zhang; Rui Zhang; Ming Lu; Xin Wan; Yuan Zhang; Chang Liu; Qi She Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: temporal search; long video understanding; reinforcement learning; large video language model
4958	Toward Conservative Planning from Human-AI Preferences in Reinforcement Learning Authors: Huazhong Wang; Wenzhuo Zhou Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; sample complexity; model-based planning
4959	Toward Efficient Exploration by Large Language Model Agents Authors: Dilip Arumugam; Thomas L. Griffiths Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Exploration; Large Language Models; Bayesian RL
4960	Towards Bridging the Gap between Large-Scale Pretraining and Efficient Finetuning for Humanoid Control Authors: Weidong Huang; Zhehan Li; Hangxin Liu; Biao Hou; Yao Su; Jingwen Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; world model; humanoid
4961	Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward Authors: Xinyu Tang; Zhenduo Zhang; Yurou Liu; Xin Zhao; zujie wen; Zhiqiang Zhang; JUN ZHOU Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Data Efficiency; Reinforcement Learning with Verifiable Reward
4962	Trajectory Generation with Conservative Value Guidance for Offline Reinforcement Learning Authors: Tieru Wang; Kunbao Wu; Guoshun Nan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Sequential Decision Making
4963	Transitive RL: Value Learning via Divide and Conquer Authors: Seohong Park; Aditya Oberai; Pranav Atreya; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; goal-conditioned rl; offline rl
4964	Trust-Region Adaptive Policy Optimization Authors: Mingyu Su; Jian Guan; Yuxian Gu; Minlie Huang; Hongning Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large Language Models; Reasoning Model; Reinforcement Learning; Trust Region; Knowledge Distillation
4965	Understanding and Improving Hyperbolic Deep Reinforcement Learning Authors: Timo Klein; Thomas Lang; Andrii Shkabrii; Alexander Sturm; Kevin Sidak; Lukas Miklautz; Claudia Plant; Yllka Velaj; Sebastian Tschiatschek Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; representation learning; hyperbolic space; hyperbolic deep learning
4966	Universal Value-Function Uncertainties Authors: Moritz Akiya Zanger; Max Weltevrede; Yaniv Oren; Pascal R. Van der Vaart; Caroline Horsch; Wendelin Boehmer; Matthijs T. J. Spaan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Uncertainty Quantificaiton; Epistemic Uncertainty; Exploration; Offline RL; Neural Tanget Kernel; Multitask RL
4967	Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation Authors: Egor Cherepanov; Nikita Kachaev; Artem Zholus; Alexey Kovalev; Aleksandr Panov Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: RL; POMDP; Memory; Classification
4968	Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals Authors: Octavio Pappalardo Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Unsupervised Reinforcement Learning; Meta-Reinforcement Learning; Pre-training; Curriculum Learning
4969	Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning Authors: Ahmed Hendawy; Henrik Metternich; Théo Vincent; Mahdi Kallel; Jan Peters; Carlo D'Eramo Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: deep reinforcement learning; q-learning; actor-critic; function approximation
4970	Value Flows Authors: Perry Dong; Chongyi Zheng; Chelsea Finn; Dorsa Sadigh; Benjamin Eysenbach Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Distributional Reinforcement Learning; Flow Matching
4971	Variance-Dependent Regret Lower Bounds for Contextual Bandits Authors: Jiafan He; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Bandit; Reinforcement Learning
4972	Vintix II: Decision Pre-Trained Transformer is a Scalable In-Context Reinforcement Learner Authors: Andrei Polubarov; Lyubaykin Nikita; Alexander Derevyagin; Artyom Grishin; Igor Saprygin; Aleksandr Serkov; Mark Averchenko; Daniil Tikhonov; Maksim Zhdanov; Alexander Nikulin; Ily… Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: in-context reinforcement learning
4973	WIMLE: Uncertainty‑Aware World Models with IMLE for Sample‑Efficient Continuous Control Authors: Mehran Aghabozorgi; Alireza Moazeni; Yanshu Zhang; Ke Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Model-based RL
4974	Wavelet Predictive Representations for Non-Stationary Reinforcement Learning Authors: Min Wang; Xin Li; Ye He; Yao-Hui Li; Hasnaa Bennis; Riashat Islam; Mingzhong Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Non-Stationary Reinforcement Learning; Representation Learning
4975	WebArbiter: A Generative Reasoning Process Reward Model for Web Agents Authors: Yao Zhang; Shijie Tang; Zeyu Li; Zhen Han; Volker Tresp Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Process Reward Model; Web Agent; Reasoning Reward Model; Inference-Time Scaling; Benchmark
4976	What Matters for Batch Online Reinforcement Learning in Robotics? Authors: Perry Dong; Suvir Mirchandani; Dorsa Sadigh; Chelsea Finn Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; autonomous improvement; imitation leaning
4977	Who Matters Matters: Agent-Specific Conservative Offline MARL Authors: Haosheng Chen; Yun Hua; Wenhao Li; Shiqin Wang; Xiangfeng Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline reinforcement learning; Reinforcement learning
4978	WorldGym: World Model as An Environment for Policy Evaluation Authors: Julian Hector Quevedo; Ansh Kumar Sharma; Yixiang Sun; Varad Suryavanshi; Percy Liang; Sherry Yang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: World model; video generation; policy evaluation; generative simulators
4979	XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning Authors: Daniel Palenicek; Florian Vogt; Joe Watson; Ingmar Posner; Jan Peters Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning
4980	Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics Authors: Maksim Bobrin; Ilya Zisman; Alexander Nikulin; Vladislav Kurenkov; Dmitry V. Dylov Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: zero-shot reinforcement learning; unsupervised reinforcement learning; successor measure
4981	floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL Authors: Bhavya Kumar Agrawalla; Michal Nauman; Khush Agrawal; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: offline RL; online fine-tuning; flow-matching; TD-learning
4982	$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers Authors: Benjamin Thérien; Charles-Étienne Joseph; Boris Knyazev; Edouard Oyallon; Irina Rish; Eugene Belilovsky Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Learned Optimizer; Meta Generalization; MuP; Maximal Update Parameterization; meta learning; and lifelong learning
4983	ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models Authors: Raghav Singhal; Kaustubh Ponkshe; Rohit Vartak; Praneeth Vepakomma Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: LoRA; Low-rank adaptation; PEFT; Parameter-Efficient Fine-Tuning; meta learning; and lifelong learning
4984	AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant Distribution Authors: Donghyeok Shin; Yeongmin Kim; Suhyeon Jo; Byeonghu Na; Il-chul Moon Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Knowledge distillation; Large language model; Information geometry; meta learning; and lifelong learning
4985	Activation Function Design Sustains Plasticity in Continual Learning Authors: Lute Lillo; Nick Cheney Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: loss of plasticity; continual learning; lifelong learning; continual reinforcement learning; activation functions; meta learning; and lifelong learning
4986	AdaRank: Adaptive Rank Pruning for Enhanced Model Merging Authors: Chanhyuk Lee; Jiho Choi; Chanryeol Lee; Donggyun Kim; Seunghoon Hong Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Model Merging; Task Arithmetic; meta learning; and lifelong learning
4987	An evolutionary perspective on modes of learning in Transformers Authors: Alexander Ku; Thomas L. Griffiths; Stephanie C.Y. Chan Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: transformers; in-context learning; in-weights learning; learning dynamics; evolutionary biology; meta learning; and lifelong learning
4988	Architecture-Agnostic Test-Time Adaptation via Backprop-Free Embedding Alignment Authors: MA Xiao; Young D. Kwon; Pan Zhou; Dong Ma Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Test-time adaptation; efficiency; feature space; embedding alignment; meta learning; and lifelong learning
4989	Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency Authors: Bill Psomas; Dionysis Christopoulos; Eirini Baltzi; Ioannis Kakogeorgiou; Tilemachos Aravanis; Nikos Komodakis; Konstantinos Karantzalos; Yannis Avrithis; Giorgos Tolias Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Linear Probing; Attentive Probing; Vision Transformers; Vision-Language Models; Evaluation; Neural Networks; meta learning; and lifelong learning
4990	AutoDV: An End-to-End Deep Learning Model for High-Dimensional Data Visualization Authors: Wei Dai; Jicong Fan Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: High-dimensional Data Visualization; Deep Learning; Cross-dimension Generalization; meta learning; and lifelong learning
4991	Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models Authors: Zekun Wang; Anant Gupta; Zihan Dong; Christopher J. MacLellan Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; diffusion models; catastrophic forgetting; image generation; elastic weight consolidation; generative replay; meta learning; and lifelong l…
4992	BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models Authors: Yupeng Chang; Yi Chang; Yuan Wu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Large Language Models; Parameter-Efficient Fine-Tuning; Low-Rank Adaptation; Catastrophic Inheritance; Bias Mitigation; Regularization; meta learning; and life…
4993	Beyond Student: An Asymmetric Network for Neural Network Inheritance Authors: Yiyun Zhou; Jingwei Shi; Mingjing Xu; Zhonghua Jiang; Jingyuan Chen Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Knowledge Distillation; meta learning; and lifelong learning
4994	Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation Authors: Yilang Zhang; Abraham Jaeger Mountain; Bingcong Li; Georgios B. Giannakis Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Meta-learning; meta-gradient estimation; bilevel optimization; meta learning; and lifelong learning
4995	CLIP-FMoE: Scalable CLIP via Fused Mixture-of-Experts with Enforced Specialization Authors: Luong Tran; Lan-Cuong Nguyen; Huynh Dang Nguyen; Dat Nguyen Cong; Dung D. Le; Van Nguyen Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Vision-Language Models; Mixture of Experts; Fine-tuning; meta learning; and lifelong learning
4996	Celo2: Towards Learned Optimization Free Lunch Authors: Abhinav Moudgil; Boris Knyazev; Eugene Belilovsky Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: learned optimization; meta-learning; meta learning; and lifelong learning
4997	CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation Authors: Letian Zhou; Songhua Liu; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Dataset Distillation; Text-to-Image Diffusion Model; Core Distribution Alignment; meta learning; and lifelong learning
4998	Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration Authors: Bruno Kacper Mlodozeniec; Pierre Ablin; Louis Béthune; Dan Busbridge; Michal Klein; Jason Ramapuram; marco cuturi Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: muP; tensor programs; hyperparameter optimization; hyperparameter transfer; meta learning; and lifelong learning
4999	Compositional-ARC: Assessing Systematic Generalization in Abstract Spatial Reasoning Authors: Philipp Mondorf; Shijia Zhou; Monica Riedler; Barbara Plank Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Systematic Generalization; Abstract Spatial Reasoning; ARC; Meta-Learning for Compositionality; meta learning; and lifelong learning
5000	Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing Authors: Junyu Luo; Jinsheng Huang; Yang Xu; Lutong Zou; Xiao Luo; Bohan Wu; Yifan Wang; Wei Ju; Ming Zhang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Adptive Hashing Retrieval; Hashing Retrieval; Unsupervised Domain Adaptation; meta learning; and lifelong learning
5001	Consistency-Driven Calibration and Matching for Few-Shot Class Incremental Learning Authors: Qinzhe Wang; Zixuan Chen; Keke Huang; Xiu Su; Chunhua Yang; Chang Xu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual learning; Few-shot class-incremental learning; meta learning; and lifelong learning
5002	Constraint-guided Hardware-aware NAS through Gradient Modification Authors: Gregory De Ruyter; Mathias Verbeke; Hans Hallez Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Neural Architecture Search; Hardware-aware NAS; Constraint-aware Optimization; Edge Machine Learning; meta learning; and lifelong learning
5003	Context and Diversity Matter: The Emergence of In-Context Learning in World Models Authors: Fan Wang; ZHIYUAN CHEN; YUXUAN ZHONG; Sunjian Zheng; Pengtao Shao; Bo Yu; Shaoshan Liu; Jianan Wang; Ning Ding; Yang Cao; Yu Kang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: In-Context Learning; World Models; meta learning; and lifelong learning
5004	DVLA-RL: Dual-Level Vision-Language Alignment with Reinforcement Learning Gating for Few-Shot Learning Authors: Wenhao Li; Xianjing Meng; Qiangchang Wang; Zhongyi Han; Zhibin Wu; Yilong Yin Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Few-Shot Learning; Vision–Language Alignment; Large Language Models; Reinforcement Learning; meta learning; and lifelong learning
5005	Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents Authors: Jenny Zhang; Shengran Hu; Cong Lu; Robert Tjarko Lange; Jeff Clune Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Self-improving AI; Open-endedness; meta learning; and lifelong learning
5006	Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature Authors: Angelo Porrello; Pietro Buzzega; Felix Dangel; Thomas Sommariva; Riccardo Salami; Lorenzo Bonicelli; Simone Calderara Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: task arithmetic; model editing; model merging; model reuse; task vector; meta learning; and lifelong learning
5007	Dataset Distillation as Pushforward Optimal Quantization Authors: Hong Ye Tan; Emma Slade Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: dataset distillation; optimal quantization; clustering; latent diffusion; meta learning; and lifelong learning
5008	DeepAFL: Deep Analytic Federated Learning Authors: Jianheng Tang; Yajiang Huang; Kejia Fan; Feijiang Han; Jiaxu Li; Jinfeng Xu; Run He; Anfeng Liu; Houbing Herbert Song; Huiping Zhuang; Yunhuai Liu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Federated Learning; Data Heterogeneity; Representation Learning; Analytic Learning; Continual Learning; Lifelong Learning; Incremental Learning; meta learning;…
5009	Detect, Decide, Unlearn: A Transfer-Aware Framework for Continual Learning Authors: Yiwen Wang; Diana Benavides-Prado; Yun Sing Koh Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; meta learning; and lifelong learning
5010	DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging Authors: Kotaro Yoshida; Yuji Naraki; Takafumi Horie; Ryotaro Shimizu; Ioannis Mitliagkas; Hiroki Naganuma Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Model Merging; Model Editing; Task Vector; meta learning; and lifelong learning
5011	Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching Authors: Zhengyan Wan; Yidong Ouyang; Liyan Xie; Fang Fang; Hongyuan Zha; Guang Cheng Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Discrete Flow Matching; Guidance; Posterior Sampling; meta learning; and lifelong learning
5012	Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation Authors: Seonghwi Kim; Sung Ho Jo; Wooseok Ha; Minwoo Chae Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Unsupervised Domain Adaptation; Distributionally Robust Learning; Multi-source Learning; meta learning; and lifelong learning
5013	Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis Authors: Ziquan Zhu; Hanruo Zhu; Si-Yuan Lu; Xiang Li; Yanda Meng; Yunxiao Zhang; Gaojie Jin; Lu Yin; Lijie Hu; Di Wang; Lu Liu; Tianjin Huang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Adapter; Medical Image Analysis; Data-Limited Training; meta learning; and lifelong learning
5014	Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation Authors: Fei Wu; Jia Hu; Geyong Min; Shiqiang Wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Parameter-Efficient Fine-Tuning; Efficiency; Orthogonal Fine-Tuning; Large Language Models; meta learning; and lifelong learning
5015	Elastic Optimal Transport: Theory, Application, and Empirical Evaluation Authors: Pei Yang; Yuhang Zhuang; Qi Tan Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: optimal transport; domain adaptation; transfer learning; meta learning; and lifelong learning
5016	Enabling Fine-Tuning of Direct Feedback Alignment via Feedback-Weight Matching Authors: Yunseok Lee; Seulki Lee Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: direct feedback alignment; deep learning; fine tuning; meta learning; and lifelong learning
5017	Energy-Regularized Sequential Model Editing on Hyperspheres Authors: Qingyuan Liu; Jia-Chen Gu; Yunzhi Yao; Hong Wang; Nanyun Peng Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: model editing; sequential editing; hyperspherical energy; regularization; meta learning; and lifelong learning
5018	Enhanced Continual Learning of Vision-Language Models with Model Fusion Authors: Haoyuan Gao; Zicong Zhang; Yuqi Wei; Linglan Zhao; Guilin Li; Yexin Li; Bo Wang; Linghe Kong; Weiran Huang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; multi-domain task incremental learning; vision-language models; model fusion; meta learning; and lifelong learning
5019	Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning Authors: Afiya Ayman; Ayan Mukhopadhyay; Aron Laszka Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Machine Learning; Multi-Task Learning; Task Affinity; AutoML; meta learning; and lifelong learning
5020	Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking Authors: Dengming Zhang; Xiaowen Ma; Zhen-Liang Ni; Zhenkai Wu; Han Shu; Xin Jiang; Xinghao Chen Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Model Merging; Model Editing; Large Language Model; meta learning; and lifelong learning
5021	Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge Distillation Authors: Minsang Kim; Seung Jun Baek Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Transfer Learning; Large Language Model; meta learning; and lifelong learning
5022	Exploring Mode Connectivity in Krylov Subspace for Domain Generalization Authors: Aodi Li; Liansheng Zhuang; Xiao Long; Houqiang Li; Shafei Wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Loss landscape; mode connectivity; Krylov space; domain generalization; meta learning; and lifelong learning
5023	Exposing Mixture and Annotating Confusion for Active Universal Test-Time Adaptation Authors: Jiayao Tan; Fan Lyu; Chenggong Ni; Fuyuan Hu; Wei Feng; Rui Yao Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Test-Time Adaptation; Open-set; meta learning; and lifelong learning
5024	FERD: Fairness-Enhanced Data-Free Adversarial Robustness Distillation Authors: Zhengxiao Li; Liming Lu; Xu Zheng; Si Yuan Liang; Taric Chen; Yongbin Zhou; Shuchao Pang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Data-Free Robustness Distillation; Robust Fairness; meta learning; and lifelong learning
5025	Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning Authors: Heming Zou; Yunliang Zang; Wutong Xu; Xiangyang Ji Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; fly olfactory circuit; class incremental learning; decorrelation; meta learning; and lifelong learning
5026	FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning Authors: Hongwei Yan; Guanglong Sun; Kanglei Zhou; Qian Li; Liyuan Wang; Yi Zhong Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Life-long Learning; Brain-inspired AI; Catastrophic Forgetting; Prompt Tuning; meta learning; and lifelong learning
5027	Forget Forgetting: Continual Learning in a World of Abundant Memory Authors: Dongkyu Cho; Taesup Moon; Rumi Chunara; Kyunghyun Cho; Sungmin Cha Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; model merging; machine learning; large language models; meta learning; and lifelong learning
5028	GOOD: Geometry-guided Out-of-Distribution Modeling for Open-set Test-time Adaptation in Point Cloud Semantic Segmentation Authors: Tianpei Zou; Guo Yu; Ya Wu; Fan Lu; Zhongcong Xu; Zhang Bo; Ziqiao Wang; Sanqing Qu; Guang Chen Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Open-set Semantic Segmentation; Online Domain Adaptation; Point Cloud Segmentation; meta learning; and lifelong learning
5029	GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing Authors: Shih-Fang Chen; Jun-Cheng Chen; I-hong Jhuo; Yen-Yu Lin Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Generic Object Tracking; Model Editing; Model Prediction; Model Adaptation; Visual Geometry; Null-Space; meta learning; and lifelong learning
5030	Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer Authors: Hewa Dehigahawattage Nilushika Udayangani; Nandakishor Desai; Marimuthu Palaniswami Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Time Series Classification; Partial Classifcation; Diffusion Models; Generative Prior Knowledge; Inverse Diffsuion Reconstruction; meta…
5031	Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models Authors: Filippo Rinaldi; Aniello Panariello; Giacomo Salici; Fengyuan Liu; Marco Ciccone; Angelo Porrello; Simone Calderara Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: model rebasin; fine-tuning transfer; transfer learning; model editing; model patching; compositionality; meta learning; and lifelong learning
5032	Heads collapse, features stay: Why Replay needs big buffers Authors: Giulia Lanzillotta; Damiano Meier; Thomas Hofmann Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual larning; neural collapse; deep learning; meta learning; and lifelong learning
5033	Healthcare Insurance Fraud Detection via Continual Fiedler Vector Graph Model Authors: Yehan Zhang; Huaidong Zhang; Xuandi Luo; Shengfeng He Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: online learning; semi-supervised; fraud detection; meta learning; and lifelong learning
5034	Hierarchical Encoding Tree with Modality Mixup for Cross-modal Hashing Authors: Zhiping Xiao; Junyu Luo; Hang Zhou; Yusheng Zhao; Xiao Luo; Pengyun Wang; Wei Ju; Siyu Heng; Ming Zhang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Cross-modal Hashing; Unsupervised Hash Retrieval; Cross-modal Retireval; meta learning; and lifelong learning
5035	HippoTune: A Hippocampal Associative Loop–Inspired Fine-Tuning Method for Continual Learning Authors: chenyanxi; Xiuxing Li; Han Yuyang; Zhuo Wang; Qing Li; Ziyu Li; Xiang Li; Chen Wei; Xia Wu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Associative Memory; Key–Value Memory; Parameter-Efficient Fine-Tuning; Continual Learning; meta learning; and lifelong learning
5036	IDER: IDempotent Experience Replay for Reliable Continual Learning Authors: Zhanwang Liu; Yuting Li; Haoyuan Gao; Yexin Li; Linghe Kong; Lichao Sun; Weiran Huang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; reliable; idempotence; meta learning; and lifelong learning
5037	IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation Authors: Sunghyun Baek; Jaemyung Yu; Seunghee Koh; Minsu Kim; Hyeonseong Jeon; Junmo Kim Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: test time adaptation; continual learning; meta learning; and lifelong learning
5038	Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models Authors: Wonjeong Choi; Sejong Ryu; Jungmoon Lee; Dong-Jun Han; Jaekyun Moon Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Vision-Language Models (VLMs); Adversarial Robustness; Mask Tuning; Robust Neural Pathways; meta learning; and lifelong learning
5039	Interference-Isolated Elastic Weight Consolidation and Knowledge Calibration for Incremental Object Detection Authors: De Cheng; Mingyue Zeng; Zhipeng Xu; Di Xu; Nannan Wang; Xinbo Gao Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; object detection; meta learning; and lifelong learning
5040	KeepLoRA: Continual Learning with Residual Gradient Adaptation Authors: Mao-Lin Luo; Zi-Hao Zhou; Yi-Lin Zhang; Yuanyu Wan; Min-Ling Zhang; Tong Wei Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; parameter-efficient fine-tuning; meta learning; and lifelong learning
5041	Knowledge Distillation as Decontamination? Revisiting the “Data Laundering” Concern in Classification Tasks Authors: Hengyu Luo; Raúl Vázquez; Timothee Mickus; Filip Ginter; Jörg Tiedemann Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Data Contamination; Benchmark Integrity; Data Decontamination; meta learning; and lifelong learning
5042	Knowledge Distillation for Large Language Models through Residual Learning Authors: Thinh On; Hengzhi Pei; Leonard Lausen; George Karypis Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: knowledge distillation; large language models; residual learning; mixture-of-experts; cross-tokenizer knowledge distillation; meta learning; and lifelong learn…
5043	LCA: Local Classifier Alignment for Continual Learning Authors: Tung Tran; Danilo Vasconcellos Vargas; Khoat Than Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual Learning; local robustness; catastrophic forgetting; meta learning; and lifelong learning
5044	LDT: Layer-Decomposition Training Makes Networks More Generalizable Authors: Zaizuo Tang; Zongqi Yang; Yu-Bin Yang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Domain generalization; meta learning; and lifelong learning
5045	Latent Adaptation of Foundation Policies for Sim-to-Real Transfer Authors: Longchao Da; T Pranav Kutralingam; Lirong Xiang; Hua Wei Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Sim-to-Real; Domain Adaptation; Foundation Policy; meta learning; and lifelong learning
5046	Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation Authors: Wei Chen; Xingyu Guo; Shuang Li; Zhao Zhang; Yan Zhong; Fuzhen Zhuang; deqing wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Graph Domain Adaptation; Graph Neural Networks; Characteristic Function; meta learning; and lifelong learning
5047	Long-tailed Test-Time Adaptation for Vision-Language Models Authors: Xucong Wang; Zhe Zhao; Zekun Wang; Xiaofeng Cao; Xu Wang; Di Wu; Pengkun Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Test-Time Adaptation; Vision-Language models; CLIP; Long-tailed Learning; meta learning; and lifelong learning
5048	M$^3$E: Continual Vision-and-Language Navigation via Mixture of Macro and Micro Experts Authors: Yongliang Jiang; Huaidong Zhang; Xuandi Luo; Shengfeng He Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Vision-and-Language Navigation; Continual Learning; Embodied AI; Large Language Models; meta learning; and lifelong learning
5049	MASS: MoErging through Adaptive Subspace Selection Authors: Donato Crisostomi; Alessandro Zirilli; Antonio Andrea Gargiulo; Maria Sofia Bucarelli; Simone Scardapane; Fabrizio Silvestri; Iacopo Masi; Emanuele Rodolà Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Model Merging; MoErging; Task Vectors; Multi-Task Learning; Deep Learning; Computer Vision; meta learning; and lifelong learning
5050	MaRS: Memory-Adaptive Routing for Reliable Capacity Expansion and Knowledge Retention Authors: Gang Yan Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Large Pre-trained Models; Continual Learning; Slot Expansion; Knowledge Distillation; meta learning; and lifelong learning
5051	Mapping Post-Training Forgetting in Language Models at Scale Authors: Jackson Harmon; Andreas Hochlehnert; Matthias Bethge; Ameya Prabhu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; foundation models; reasoning; forgetting; pretraining knowledge; meta learning; and lifelong learning
5052	MaskInversion: Localized Embeddings via Optimization of Explainability Maps Authors: Walid Bousselham; Sofian Chaybouti; Christian Rupprecht; Vittorio Ferrari; Hilde Kuehne Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: vision encoder; localized embedding; CLIP; meta learning; and lifelong learning
5053	Massive Editing for Large Language Models Based on Dynamic Weight Generation Authors: Wentao Wan; Qiqing Lao; Zhiwei Xie; Hefeng Wu; Runnan Lin; Liang Lin; Keze Wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Knowledge Editing; Large Language Models; Weight Generation; meta learning; and lifelong learning
5054	Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models Authors: Yujin Jo; Taesup Kim Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Vision-Language Models; Parameter-Efficient Fine-Tuning; Null-Space Methods; meta learning; and lifelong learning
5055	MergOPT: A Merge-Aware Optimizer for Robust Model Merging Authors: Enneng Yang; Qun Yang; Peng Wang; Anke Tang; Guibing Guo; Xiaochun Cao; Li Shen Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Model Merging; Fine-tuning; Multi-task Learning; meta learning; and lifelong learning
5056	Merge before Forget: A Single LoRA Continual Learning via Continual Merging Authors: Fuli Qiao; Mehrdad Mahdavi Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual learning; Low-rank adaptation; meta learning; and lifelong learning
5057	NEO — No-Optimization Test-Time Adaptation through Latent Re-Centering Authors: Alexander Murphy; Michal Danilowski; Soumyajit Chatterjee; Abhirup Ghosh Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: test-time adaptation; domain adaptation; on-device; meta learning; and lifelong learning
5058	Naming to Learn: Class Incremental Learning for Vision-Language Model with Unlabeled Data Authors: Qiwei Li; Xiaochen Yang; Jiahuan Zhou Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; incremental learning; vision-language model; meta learning; and lifelong learning
5059	Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization Authors: Siqi Wang; Aoming Liu; Bryan A. Plummer Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: label noise; domain generalization; noise-robust generalization; meta learning; and lifelong learning
5060	Null-Space Filtering for Data-Free Continual Model Merging: Preserving Stability, Promoting Plasticity Authors: Zihuan Qiu; Lei Wang; Yang Cao; Runtong ZHANG; Bing Su; Yi Xu; Fanman Meng; Linfeng Xu; Qingbo Wu; Hongliang Li Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Model Merging; Model Merging; meta learning; and lifelong learning
5061	One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning Authors: Minh Le; Bao-Ngoc Dao; Huy Nguyen; Quyen Tran; Anh Nguyen; Nhat Ho Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Prefix Tuning; Mixture of Experts; meta learning; and lifelong learning
5062	OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging Authors: Yongxian Wei; Runxi Cheng; Weike Jin; Enneng Yang; Li Shen; Lu Hou; SiNan Du; Chun Yuan; Xiaochun Cao; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Model Merging; Task Vector; Data-Free Optimization; meta learning; and lifelong learning
5063	PAC-Bayes bounds for cumulative loss in Continual Learning Authors: Lior Friedman; Ron Meir Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; PAC-Bayes; Generalization bounds; Lifelong Learning; meta learning; and lifelong learning
5064	PACE: Pretrained Audio Continual Learning Authors: Chang Li; Kanglei Zhou; Liyuan Wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Audio recognition; Continual Learning; Incremental Learning; Catastrophic forgetting; meta learning; and lifelong learning
5065	PAS: Estimating the target accuracy before domain adaptation Authors: Raphaella Diniz; Jackson de Faria; Martin Ester Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Transferability estimation; Domain adaptation; meta learning; and lifelong learning
5066	PCLR: Progressively Compressed LoRA for Multimodal Continual Instruction Tuning Authors: Weicheng Meng; Jingyang Qiao; Shaohui Liu; Zhizhong Zhang; Yuan Xie Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Large Multimodal Models; Continual Instruction Tuning; Catastrophic Forgetting; Knowledge Distillation; meta learning; and lifelong learning
5067	Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning Authors: Dexia Chen; Qianjie Zhu; Weibing Li; Yue Yu; Tong Zhang; Ruixuan Wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Vision-Language Model; Few-shot Transfer; Image Classification; meta learning; and lifelong learning
5068	Prior-free Tabular Test-time Adaptation Authors: Rundong He; Jieming Shi Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Tabular Test-time Adaptation; Prior-free; meta learning; and lifelong learning
5069	Quantized Gradient Projection for Memory-Efficient Continual Learning Authors: Dongjun Kim; Seohyeon Cha; Huancheng Chen; Chianing Wang; Haris Vikalo Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; meta learning; and lifelong learning
5070	RLAP-CLIP: Continual Multimodal Learning with Prototype Adaptation and Difficulty-Aware Routing Authors: Ruikun Luo; Jiarui Wang; Yuan Gao; Jing Yang; Jieming Yang; Song Wu; Hai Jin; Xiaoyu Xia Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Multimodal Learning; Prototype Optimization; Mixture-of-Experts; meta learning; and lifelong learning
5071	Reasoning-Driven Multimodal LLM for Domain Generalization Authors: Zhipeng Xu; Zilong Wang; XINYANG JIANG; Dongsheng Li; De Cheng; Nannan Wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Machine Learning (ML) -> ML: Transfer; Domain Adaptation; Multi-Task Learning; meta learning; and lifelong learning
5072	Retain and Adapt: Auto-Balanced Model Editing for Open-Vocabulary Object Detection under Domain Shifts Authors: Zixuan Duan; Fengyuan Lu; Xunzhi Xiang; Wenbin Li; Yang Gao; Qi Fan Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Open-Vocabulary Object Detection; Model Editing; Continual Learning; Knowledge Injection; Few-Shot Learning; Catastrophic Forgetting; meta learning; and lifelo…
5073	Rethinking Continual Learning with Progressive Neural Collapse Authors: Zheng Wang; Wanhao Yu; Li Yang; Sen Lin Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Neural Collapse; meta learning; and lifelong learning
5074	Revisiting Weight Regularization for Low-Rank Continual Learning Authors: Yaoyue Zheng; Yin Zhang; Joost van de Weijer; Gido M van de Ven; Shaoyi Du; Xuetao Zhang; Zhiqiang Tian Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Class-incremental Learning; Weight Regularization; Elastic Weight Consolidation; meta learning; and lifelong learning
5075	Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling Authors: Jonas Ngnawe; Maxime Heuillet; Sabyasachi Sahoo; Yann Pequignot; Ola Ahmad; Audrey Durand; Frederic Precioso; Christian Gagné Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: robust fine-tuning; adversarial finetuning; adversarial robustness; fine-tuning; transfer learning; image classification; meta learning; and lifelong learning
5076	SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation Authors: Ruiyi Fang; Jingyu Zhao; Shuo Wang; Ruizhi Pu; Bingheng Li; Jiale Cai; Zhihao Li; Zihao Jing; Jian Zhu; Song Tang; Charles Ling; Boyu Wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Graph Domain Adaptation; meta learning; and lifelong learning
5077	Scalable Multi-Task Low-Rank Model Adaptation Authors: Zichen Tian; Antoine Ledent; Qianru Sun Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: low rank adaptation; multi-task learning; mixture of experts; model adaptation; parameter efficient fine tuning; meta learning; and lifelong learning
5078	Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database Authors: Weizhi Fei; Hao Shi; Jing Xu; Jingchen Peng; Jiazheng Li; Jingzhao Zhang; Bo Bai; Wei Han; Zhenyuan Chen; Xueyan Niu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: knowledge editing; locate and editing; life-long learning; large language model; Transformers; meta learning; and lifelong learning
5079	Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models Authors: Jonas Hübotter; Patrik Wolf; Aleksandr Shevchenko; Dennis Jüni; Andreas Krause; Gil Kur Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: test-time training; linear representation hypothesis; specialization; continual learning; sparse autoencoders; compressed sensing; meta learning; and lifelong…
5080	SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting Authors: Haomiao Qiu; Miao Zhang; Ziyue Qiao; Weili Guan; Min Zhang; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Low-Rank Adaptation; Gradient orthogonal projection; meta learning; and lifelong learning
5081	StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning Authors: Huaijie Wang; De Cheng; Guozhang Li; Zhipeng Xu; Lingfeng He; Jie Li; Nannan Wang; Xinbo Gao Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: meta learning; and lifelong learning
5082	Structure-Aware Graph Hypernetworks for Neural Program Synthesis Authors: Wenhao Li; Yudong Xu; Elias Boutros Khalil; Scott Sanner Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: neural program synthesis; weight-space learning; meta-learning; permutation-equivariant graph networks; zero-shot generalization; meta learning; and lifelong l…
5083	Study of Training Dynamics for Memory-Constrained Fine-Tuning Authors: Aël Quélennec; Nour Hezbri; Pavlo Mozharovskyi; Van-Tam Nguyen; Enzo Tartaglione Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Efficient Learning; Energy Saving; meta learning; and lifelong learning
5084	SumRA: Parameter Efficient Fine-tuning with Singular Value Decomposition and Summed Orthogonal Basis Authors: Chin Yuen Kwok; Yongsen Zheng; Jia Qi Yip; Kwok-Yan Lam; Eng Siong Chng Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: low rank adaptation; automatic speech recognition; model adaptation; parameter efficient fine tuning; meta learning; and lifelong learning
5085	TRAC: Tensor-Train based Across-layer Compression for Parameter-Efficient Fine-Tuning Authors: Bangguo Ye; Yuanwei Zhang; Xiaoqun Zhang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Parameter-efficient fine-tuning; Low-rank adaptation; Tensor decomposition; meta learning; and lifelong learning
5086	TangleScore: Tangle-Guided Purge and Imprint for Unstructured Knowledge Editing Authors: Hao-Xiang Xu; Ziqi Peng; Jun-Yu Ma; Yuhao Sun; Zhen-Hua Ling; Jia-Chen Gu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: TangleScore; Unstructured Knowledge Editing; LLMs; Purge and Imprint; meta learning; and lifelong learning
5087	Temporal Generalization: A Reality Check Authors: Divyam Madaan; Sumit Chopra; Kyunghyun Cho Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Temporal Generalization and Extrapolation; meta learning; and lifelong learning
5088	Test-time Domain Generalization for Image Super-resolution Authors: Zaizuo Tang; Yu-Bin Yang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Test-time domain generalization; meta learning; and lifelong learning
5089	The Lie of the Average: How Class Incremental Learning Evaluation Deceives You? Authors: Guannan Lai; Da-Wei Zhou; Xin Yang; Han-Jia Ye Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Class Incremental Learning; Continual Learning; Evaluation Protocol; Extreme Class Sequences; meta learning; and lifelong learning
5090	Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning Authors: Hongye Xu; Bartosz Krawczyk Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; exemplar free; exemplar free class incremental learning; class incremental learning; exemplar-free; meta learning; and lifelong learning
5091	Unlearning during Training: Domain-Specific Gradient Ascent for Domain Generalization Authors: Di Zhao; Jingfeng Zhang; Hongsheng Hu; Philippe Fournier-Viger; Gillian Dobbie; Yun Sing Koh Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Unlearning; Transfer Learning; Domain Generalization; meta learning; and lifelong learning
5092	VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision–Language Models Authors: Christos Ziakas; Alessandra Russo Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Meta-Learning; Test-Time Adaptation; Value Function Estimation; Vision-Language Models; meta learning; and lifelong learning
5093	When and Where to Reset Matters for Long-Term Test-Time Adaptation Authors: Taejun Lim; Joong-Won Hwang; Kibok Lee Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Test-Time Adaptation; Continual Test-Time Adaptation; Long-Term Test-Time Adaptation; meta learning; and lifelong learning
5094	XIL: Cross-Expanding Incremental Learning Authors: Heayoun Choi; Hyundong Jin; Eunwoo Kim Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Class-incremental learning; Continual learning; Image Classification; meta learning; and lifelong learning
5095	ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization without Collapse Authors: Guohao Chen; Shuaicheng Niu; Deyu Chen; Jiahao Yang; Zitian Zhang; Mingkui Tan; Pengcheng Wu; Zhiqi Shen Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Test-Time Adaptation; Out-of-distribution Generalization; Entropy Minimization; meta learning; and lifelong learning
5096	A Bayesian Nonparametric Framework For Learning Disentangled Representations Authors: Vaishnavi S Patil; Siddhi Patil; Matthew Evanusa; Amit Kumar Kundu; Cornelia Fermuller; Joseph JaJa Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: representation learning; disentangled representations; unsupervised learning; nonparametric methods; self-supervised; semi-supervised; and supervised represent…
5097	A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components Authors: Michael Ibrahim; Nagi Gebraeel; Weijun Xie Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: clustering; gaussian mixture model; federated learning; self-supervised; semi-supervised; and supervised representation learning
5098	A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data Authors: Yue Wu; Jialin Zhao; Carlo Vittorio Cannistraci Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Linear classification; Efficient and scalable algorithm; Geometric discriminant analysis; Centroid discriminant analysis; Nonlinear classification via kernel me…
5099	A Single Architecture for Representing Invariance Under Any Space Group Authors: Cindy Zhang; Elif Ertekin; Peter Orbanz; Ryan P Adams Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: symmetry; group invariance; space groups; crystallographic groups; Fourier series; self-supervised; semi-supervised; and supervised representation learning
5100	A Study on PAVE Specification for Learnware Authors: Hao-Yu Shi; Zhi-Hao Tan; Zi-Chen Zhao; Yang Yu; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Learnware; Specification; Parameter Vector; Learnware Identification; self-supervised; semi-supervised; and supervised representation learning
5101	A universal compression theory for lottery ticket hypothesis and neural scaling laws Authors: Hong-Yi Wang; Di Luo; Tomaso Poggio; Isaac L. Chuang; Liu Ziyin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Neural scaling law; model compression; lottery ticket hypothesis; deep learning theory; self-supervised; semi-supervised; and supervised representation learning
5102	AP-OOD: Attention Pooling for Out-of-Distribution Detection Authors: Claus Hofmann; Christian Huber; Bernhard Lehner; Daniel Klotz; Sepp Hochreiter; Werner Zellinger Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: out-of-distribution detection; attention pooling; nlp; language models; self-supervised; semi-supervised; and supervised representation learning
5103	APT: Towards Universal Scene Graph Generation via Plug-in Adaptive Prompt Tuning Authors: Ruikun Luo; Changwei Gu; Jing Yang; Yuan Gao; Jieming Yang; Song Wu; Hai Jin; Xiaoyu Xia Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Prompt Tuning; Scene Graph Generation; Open Vocabulary; self-supervised; semi-supervised; and supervised representation learning
5104	ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality Authors: Shayne Longpre; Sneha Kudugunta; Niklas Muennighoff; I-Hung Hsu; Isaac Rayburn Caswell; Alex Pentland; Sercan O Arik; Chen-Yu Lee; Sayna Ebrahimi Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: scaling laws; multilinguality; self-supervised; semi-supervised; and supervised representation learning
5105	Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms Authors: Wei Wang; Dong-Dong Wu; Ming Li; Jingxiong Zhang; Gang Niu; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Positive-unlabeled learning; weakly supervised learning.; self-supervised; semi-supervised; and supervised representation learning
5106	Adaptive Conformal Prediction via Mixture-of-Experts Gating Similarity Authors: Jingsen Kong; Wenlu Tang; Dezheng Kong; Linglong Kong; Guangren Yang; Bei Jiang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Conformal prediction; Mixture of Experts; Distribution-free inference.; self-supervised; semi-supervised; and supervised representation learning
5107	Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation Authors: Xiangyu Wu; Dongming Jiang; Feng Yu; Yueying Tian; Jiaqi Tang; Qing-Guo Chen; Yang Yang; Jianfeng Lu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Test-Time Adaptation; Entropy Minimization; Representation Learning; self-supervised; semi-supervised; and supervised representation learning
5108	Adaptive Gaussian Expansion for On-the-fly Category Discovery Authors: Chunming Li; Shidong Wang; Haofeng Zhang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Novel Category Discovery; Open Set Recognition; self-supervised; semi-supervised; and supervised representation learning
5109	Adaptive Width Neural Networks Authors: Federico Errica; Henrik Christiansen; Viktor Zaverkin; Mathias Niepert; Francesco Alesiani Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Neural Networks; Learning the Number of Neurons; Adaptive Width Learning; Dynamic Architectures; Information Compression; Variational Inference; self-supervise…
5110	Aligning Collaborative View Recovery and Tensorial Subspace Learning via Latent Representation for Incomplete Multi-View Clustering Authors: Youqing Wang; Yu Cao; Jinlu Wang; Xiang Xu; Jiapu Wang; Tengfei Liu; Junbin Gao; Jipeng Guo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Incomplete Multi-view Clustering; Collaborative View Recovery; Tensorial Subspace Learning; Cross-view Correlation Alignment; self-supervised; semi-supervised;…
5111	An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-based Representation Authors: Junyi Lin; Dunyao Xue; Jun Yu; Hongteng Xu; Cheng Meng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Distribution comparison; Optimal Transport; Special Euclidean group; Shape matching; self-supervised; semi-supervised; and supervised representation learning
5112	Angle K-Means Authors: Shenfei Pei; Ruiyu Huang; Yiqing Hu; Zhongqi Lin; Xudong Jiang; Zengwei Zheng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Clustering; K-Means; Accelerate; Angle; self-supervised; semi-supervised; and supervised representation learning
5113	Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling Authors: Kun Liu; Renjun Jia; Ruifeng Yang; Xirui Zeng; Yuqi Liang; Cen Chen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Time Series Forecasting; Time Series Analysis; Deep Learning; self-supervised; semi-supervised; and supervised representation learning
5114	BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training Authors: Luca Colombo; Fabrizio Pittorino; Daniele Zambon; Carlo Baldassi; Manuel Roveri; Cesare Alippi Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Binary Neural Networks; Fully binary training; Binary error backpropagation; Gradient-free optimization; Binary Recurrent Neural Networks; Resource-Constrained…
5115	Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction Authors: Haolin Pan; Dong Jinyuan; Hongbin Zhang; Hongyu Lin; Mingjie Xing; Yanjun Wu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Program Representation; Compiler Optimization; Behavioral Embedding; self-supervised; semi-supervised; and supervised representation learning
5116	Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models Authors: Sharut Gupta; Shobhita Sundaram; Chenyu Wang; Stefanie Jegelka; Phillip Isola Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Unpaired Multimodal Representation Learning; Cross-modal Learning; Multimodal Learning from Unpaired Data; self-supervised; semi-supervised; and supervised rep…
5117	Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning Authors: Yuhang Liu; Zhen Zhang; Dong Gong; Erdun Gao; Biwei Huang; Mingming Gong; Anton van den Hengel; Kun Zhang; Javen Qinfeng Shi Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multimodal Representation Learning; Latent Variable Model; Disentangled Representation Learning; self-supervised; semi-supervised; and supervised representatio…
5118	Beyond Entity Correlations: Disentangling Event Causal Puzzles in Temporal Knowledge Graphs Authors: Qian Chen; Jinyu Zhang; Ling Chen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Event Prediction; Temporal Knowledge Graph; Representation Learning; self-supervised; semi-supervised; and supervised representation learning
5119	Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection Authors: Yongxin Deng; Zhen Fang; Sharon Li; Ling Chen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Large Language Models; Hallucination Detection; Cross-Domain Generalization; Multi-Turn Continuation; self-supervised; semi-supervised; and supervised represen…
5120	Beyond Instance-Level Alignment: Dual-Level Optimal Transport for Audio-Text Retrieval Authors: Wenqi Guo; Shikui Tu; Lei Xu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Audio-Text Retrieval; Cross-Modal Matching; self-supervised; semi-supervised; and supervised representation learning
5121	Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding Authors: Seong-Woong Shim; Myunsoo Kim; Jae Hyeon Cho; Byung-Jun Lee Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Language Models; Long-Context; self-supervised; semi-supervised; and supervised representation learning
5122	Beyond Static Vision: Scene Dynamic Field Unlocks Intuitive Physics Understanding in Multi-modal Large Language Models Authors: Nanxi Li; Xiang Wang; Yuanjie Chen; Haode Zhang; Hong Li; Yong-Lu Li Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multi-modal LLM; Intuitive Physics; self-supervised; semi-supervised; and supervised representation learning
5123	Bi-Lipschitz Autoencoder With Injectivity Guarantee Authors: Qipeng Zhan; Zhuoping Zhou; Zexuan Wang; Qi Long; Li Shen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Autoencoder; Injectivity; self-supervised; semi-supervised; and supervised representation learning
5124	Bilateral Information-aware Test-time Adaptation for Vision-Language Models Authors: Jingwei Sun; Jianing Zhu; Jiangchao Yao; Gang Niu; Masashi Sugiyama; Bo Han Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Test-time Adaptation; Vision Language Model; self-supervised; semi-supervised; and supervised representation learning
5125	BioTamperNet: Affinity-Guided State-Space Model Detecting Tampered Biomedical Images Authors: Soumyaroop Nandi; Prem Natarajan Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Generative Local Forgery Detection; Information-Theoretic Gradient Fingerprints; self-supervised; semi-supervised; and supervised representation learning
5126	Boosting Open Set Recognition Performance through Modulated Representation Learning Authors: Amit Kumar Kundu; Vaishnavi S Patil; Joseph JaJa Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Open set recognition; representation learning; self-supervised; semi-supervised; and supervised representation learning
5127	Breaking Gradient Temporal Collinearity for Robust Spiking Neural Networks Authors: Desong Zhang; Jia Hu; Geyong Min Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Neuromophic computing; Spiking neural networks; robustness; self-supervised; semi-supervised; and supervised representation learning
5128	Bures-Isotropy Alignment: Manifold Learning of Generalized Category Discovery Authors: Luyao Tang; Kunze Huang; Chaoqi Chen; Cheng Chen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: generalized category discovery; Bures metric; quantum informatics; self-supervised; semi-supervised; and supervised representation learning
5129	C-Voting: Confidence-Based Test-Time Voting without Explicit Energy Functions Authors: Kenji Kubo; Shunsuke Kamiya; Masanori Koyama; Kohei Hayashi; Yusuke Iwasawa; Yutaka Matsuo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: reasoning; test-time scaling; voting; recurrent models; self-supervised; semi-supervised; and supervised representation learning
5130	CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis Authors: Alexander Baumann; Leonardo Ayala; Silvia Seidlitz; Jan Sellner; Alexander Studier-Fischer; Berkin Özdemir; Lena Maier-hein; Slobodan Ilic Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Representation Learning; Self-Supervised Learning; Spectral Imaging; self-supervised; semi-supervised; and supervised representation learning
5131	CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection Authors: Boyang Dai; Zeng Fan; Zihao Qi; Meng Lou; Yizhou Yu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Source-Free Domain Adaptation; Object Detection; Object-Centric Learning; self-supervised; semi-supervised; and supervised representation learning
5132	CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning Authors: Runjian Chen; Hang Zhang; Avinash Ravichandran; Hyoungseob Park; Wenqi Shao; Alex Wong; Ping Luo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Unsupervised 3D Representation Learning; Fusion Perception; Autonomous Driving; self-supervised; semi-supervised; and supervised representation learning
5133	CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally Authors: Darina Koishigarina; Arnas Uselis; Seong Joon Oh Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: vision-language models; CLIP; compositionality; binding; self-supervised; semi-supervised; and supervised representation learning
5134	COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations Authors: Pandula Thennakoon; Avishka Ranasinghe; Mario De Silva; Buwaneka Epakanda; Roshan Godaliyadda; Mervyn Parakrama Bandara Ekanayake; Vijitha R. Herath Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Implicit Neural Networks; Chebyshev Polynomials; Raised cosine filter; Spectral bias; self-supervised; semi-supervised; and supervised representation learning
5135	CSRv2: Unlocking Ultra-Sparse Embeddings Authors: Lixuan Guo; Yifei Wang; Tiansheng Wen; Yifan Wang; Aosong Feng; Bo Chen; Stefanie Jegelka; Chenyu You Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: text embedding; sparse representation; contrastive learning; self-supervised; semi-supervised; and supervised representation learning
5136	Calibrated Information Bottleneck for Trusted Multi-modal Clustering Authors: Shizhe Hu; Zhangwen Gou; Shuaiju Li; Jin Qin; Xiaoheng Jiang; Pei Lv; Mingliang Xu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multi-modal Clustering; Information Bottleneck; self-supervised; semi-supervised; and supervised representation learning
5137	Closing the Modality Gap Aligns Group-Wise Semantics Authors: Eleonora Grassucci; Giordano Cicchetti; Emanuele Frasca; Aurelio Uncini; Danilo Comminiello Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multimodal Learning; Representation Alignment; Modality Gap; self-supervised; semi-supervised; and supervised representation learning
5138	CoLA: Co-Calibrated Logit Adjustment for Long-Tailed Semi-Supervised Learning Authors: Qian Shao; Qiyuan Chen; Jiahe Chen; Zepeng Li; Qianqian Tang; Hongxia Xu; Jian Wu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Semi-supervised learning; long-tailed learning; logit adjustment; self-supervised; semi-supervised; and supervised representation learning
5139	Command-V: Training-Free Representation Finetuning Transfer Authors: Barry Wang; Avi Schwarzschild; Alexander Robey; Ali Payani; Charles Fleming; Mingjie Sun; Daphne Ippolito Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Model Editing; Steering; Activation; Interpretability; self-supervised; semi-supervised; and supervised representation learning
5140	Compositional Generalization through Gradient Search in Nonparametric Latent Space Authors: Haruki Shirakami; James Henderson Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: compositional generalization; variational Bayesian methods; meta-learning; abstract reasoning; nonparametric representations; self-supervised; semi-supervised;…
5141	ConRep4CO: Contrastive Representation Learning of Combinatorial Optimization Instances across Types Authors: Ziao Guo; Yang Li; Shiyue Wang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Combinatorial Optimization; Contrastive Learning; Representation Learning; self-supervised; semi-supervised; and supervised representation learning
5142	Confident Block Diagonal Structure-Aware Invariable Graph Completion for Incomplete Multi-view Clustering Authors: Shuping Zhao; Yulong Chen; Jie Wen; Lunke Fei; Jinrong Cui; Tingting Chai Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Incomplete multi-view clustering; nvariable graph completion; onfident block diagonal structure learningci; self-supervised; semi-supervised; and supervised re…
5143	Constant Degree Matrix-Driven Incomplete Multi-View Clustering via Connectivity-Structure and Embedding Tensor Learning Authors: Zhibin Gu; Zhenhao Zhong; Xi Zhang; Bing Li Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multi-view clustering; self-supervised; semi-supervised; and supervised representation learning
5144	Contrastive Predictive Coding Done Right for Mutual Information Estimation Authors: Jongha Jon Ryu; Pavan Yeddanapudi; Xiangxiang Xu; Gregory W. Wornell Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: information estimation; contrastive predictive coding; representation learning; noise contrastive estimation; density ratio estimation; self-supervised; semi-s…
5145	Controllable Video Generation with Provable Disentanglement Authors: Yifan Shen; Peiyuan Zhu; Zijian Li; Shaoan Xie; Namrata Deka; Zongfang Liu; Zeyu Tang; Guangyi Chen; Kun Zhang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Video Generation; GAN; Disentanglement; nonlinear ICA; self-supervised; semi-supervised; and supervised representation learning
5146	CroCoDiLight: Repurposing Cross-View Completion Encoders for Relighting Authors: Alistair J Foggin; William A P Smith Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: cross-view completion; relighting; intrinsic image estimation; albedo estimation; shadow removal; self-supervised; semi-supervised; and supervised representati…
5147	Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence Authors: Alexander Semenenko; Ivan Butakov; Ivan Oseledets; Alexey Frolov Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: information theory; mutual information; sliced mutual information; curse of dimensionality; self-supervised; semi-supervised; and supervised representation lea…
5148	Cutting the Skip: Training Residual-Free Transformers Authors: Yiping Ji; James Martens; Jianqiao Zheng; Ziqin Zhou; Peyman Moghadam; Xinyu Zhang; Hemanth Saratchandran; Simon Lucey Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Vision Transformers; Skip Connections; Network Conditionin; self-supervised; semi-supervised; and supervised representation learning
5149	DAVE: A VLM Vision Encoder for Document Understanding and Web Agents Authors: Brandon Huang; Hang Hua; Zhuoran Yu; Trevor Darrell; Rogerio Feris; Roei Herzig Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Visual Representation Learning; Vision Language Models; Document Understanding; Web Agents; self-supervised; semi-supervised; and supervised representation lea…
5150	DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection Authors: Siheng Wang; Yanshu Li; Bohan Hu; Zhengdao Li; HaiboZhan; Linshan Li; Weiming Liu; Ruizhi Qian; Guangxin Wu; Hao Zhang; Jifeng Shen; Piotr Koniusz; Zhengtao Yao; Junhao Dong; Qian… Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Open-Vocabulary Object Detection; Knowledge Distillation; Multimodal Learning; Vision-language Model; self-supervised; semi-supervised; and supervised represen…
5151	Debiased and Denoised Representation Learning for Incomplete Multi-view Clustering Authors: Qianqian Wang; Xurui Liao; Wei Feng; Quanxue Gao Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Incomplete multi-view clustering; projection debiasing and denoising; robust contrastive learning.; self-supervised; semi-supervised; and supervised representa…
5152	Decomposition of Concept-Level Rules in Visual Scenes Authors: Fan Shi; Yuxuan Liang; Xiaolei Chen; Haiyang Yu; Xu Li; Yi Zheng; Rui Zhu; Xiangyang Xue; Bin Li Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Compositionality; Concept-Level Rules Decomposition; Large Vision-Language Models; self-supervised; semi-supervised; and supervised representation learning
5153	Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement Authors: Yoonsoo Nam; Nayara Fonseca; Seok Hyeong Lee; Chris Mingard; Niclas Alexander Göring; Ouns El Harzli; Abdurrahman Hadi Erturk; Soufiane Hayou; Ard A. Louis Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: training dynamics; representation learning; lazy/rich regime; neural collapse; grokking; kernel methods; self-supervised; semi-supervised; and supervised repre…
5154	Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning Authors: Xiao Zhang; Haodong Jing; Yongqiang Ma; Nanning Zheng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Compositional zero-shot learning; Multi-modal learning; self-supervised; semi-supervised; and supervised representation learning
5155	Deep Learning with Learnable Product-Structured Activations Authors: Saanjali Maharaj; Prasanth B. Nair Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: deep learning architecture; implicit neural representation; low-rank tensor decomposition; partial differential equations; self-supervised; semi-supervised; an…
5156	DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification Authors: Siyuan Jiang; Yihan Hu; Wenjie Li; Pengcheng Zeng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Functional Data Analysis; Deep Learning; Registration; Classification; self-supervised; semi-supervised; and supervised representation learning
5157	DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick Authors: Mohammad Hassan Vali; Tom Bäckström; Arno Solin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Vector Quantization; Differentiability; Backpropagation; Differentiable Vector Quantization; Gradient Collapse; Codebook Learning; self-supervised; semi-superv…
5158	DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities Authors: Hedi Zisling; Ilan Naiman; Nimrod Berman; Supasorn Suwajanakorn; Omri Azencot Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Sequential Disentanglement; Diffusion Models; Unsupervised Learning; self-supervised; semi-supervised; and supervised representation learning
5159	Difference Predictive Coding for Training Spiking Neural Networks Authors: Ville Karlsson; Nicklas Fianda; Joni-Kristian Kämäräinen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Spiking neural networks; predictive coding; biologically plausible learning; neuromorphic computing; difference predictive coding; local learning rules; energy…
5160	Differentiable JPEG-based Input Perturbation for Knowledge Distillation Amplification via Conditional Mutual Information Maximization Authors: SIYU CHEN; Kaixiang Zheng; Ahmed H. Salamah; EN-HUI YANG Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Knowledge Distillation; JPEG; Conditional Mutual Information; self-supervised; semi-supervised; and supervised representation learning
5161	Difficulty–Diversity Collaborative Filtering for Data-Efficient LLM Fine-Tuning Authors: Long P. Hoang; Wenxuan Zhang; Wei Lu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Data Efficiency; Supervised Fine-Tuning; Collaborative Filtering; self-supervised; semi-supervised; and supervised representa…
5162	Discrete Variational Autoencoding via Policy Search Authors: Michael Drolet; Firas Al-Hafez; Aditya Bhatt; Jan Peters; Oleg Arenz Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Discrete Variational Autoencoding; Reinforcement Learning; self-supervised; semi-supervised; and supervised representation learning
5163	Disentangled representation learning through unsupervised symmetry group discovery Authors: Barthélémy Dang-Nhu; Louis Annabi; Sylvain ARGENTIERI Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Representation learning; Disentanglement; Group Theory; self-supervised; semi-supervised; and supervised representation learning
5164	Disentanglement of Variations with Multimodal Generative Modeling Authors: Yijie Zhang; Yiyang Shen; Weiran Wang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multimodal Variational Autoencoder; Disentanglement; Multi-view Information Bottleneck; Diffusion Models; self-supervised; semi-supervised; and supervised repr…
5165	Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence Authors: Wenzhe Yin; Zehao Xiao; Pan Zhou; Shujian Yu; Jiayi Shen; Jan-Jakob Sonke; Stratis Gavves Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Vision-Language Alignment; CLIP; Cauchy-Schwarz Divergence; self-supervised; semi-supervised; and supervised representation learning
5166	Divergence-Free Neural Networks with Application to Image Denoising Authors: Sébastien Herbreteau; Etienne Meunier Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: image denoising; divergence; Stein's unbiased risk estimate; self-supervised learning; incompressible vector fields; self-supervised; semi-supervised; and supe…
5167	Diverse Dictionary Learning Authors: Yujia Zheng; Zijian Li; Shunxing Fan; Andrew Gordon Wilson; Kun Zhang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Dictionary Learning; Identifiability Theory; self-supervised; semi-supervised; and supervised representation learning
5168	Domain Expansion: A Latent Space Construction Framework for Multi-Task Learning Authors: Chi-Yao Huang; Khoa Vo; Aayush Atul Verma; Duo Lu; Yezhou Yang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: representation learning; machine learning for computer vision; self-supervised; semi-supervised; and supervised representation learning
5169	Dual Distillation for Few-Shot Anomaly Detection Authors: Le Dong; Qinzhong Tan; Chunlei Li; Jingliang Hu; Yilei Shi; Weisheng Dong; Xiao Xiang Zhu; Lichao Mou Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: anomaly detection; few-shot learning; knowledge distillation; self-supervised; semi-supervised; and supervised representation learning
5170	Dual Perspectives on Non-Contrastive Self-Supervised Learning Authors: Jean Ponce; Basile Terver; Martial Hebert; Michael Arbel Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Deep learning; representation learning; self-supervised learning; self-supervised; semi-supervised; and supervised representation learning
5171	Dual-Branch Representations with Dynamic Gated Fusion and Triple-Granularity Alignment for Deep Multi-View Clustering Authors: Wenyuan Kong; Zhibin Gu; Bing Li Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multi-View Clustering; self-supervised; semi-supervised; and supervised representation learning
5172	Dynamic Reflections: Probing Video Representations with Text Alignment Authors: Maks Ovsjanikov; Viorica Patraucean; Leonidas Guibas; Tyler Zhu; Tengda Han Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Platonic Representation hypothesis; video understanding; video-text alignment; self-supervised; semi-supervised; and supervised representation learning
5173	ELViS: Efficient Visual Similarity from Local Descriptors that Generalizes Across Domains Authors: Pavel Suma; Giorgos Kordopatis-Zilos; Yannis Kalantidis; Giorgos Tolias Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: instance-level image retrieval; image re-ranking; local similarity; generalization; interpretability; self-supervised; semi-supervised; and supervised represen…
5174	Embedding-Based Context-Aware Reranker Authors: Ye Yuan; Mohammad Amin Shabani; Siqi Liu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Passage reranking; Retrieval-Augmented Generation; self-supervised; semi-supervised; and supervised representation learning
5175	Escaping the Homophily Trap: A Threshold-free Graph Outlier Detection Framework via Clustering-guided Edge Reweighting Authors: Yunhe Zhang; Jinyu Cai; Qi Hao; Pengyang Wang; See-Kiong Ng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Outlier Detection; Graph Neural Networks; Clustering; self-supervised; semi-supervised; and supervised representation learning
5176	Explainable $ K $-means Neural Networks for Multi-view Clustering Authors: Yalan Qin; Xinpeng Zhang; Guorui Feng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multi-view clustering; efficiency; effectiveness; completeness and consistency; self-supervised; semi-supervised; and supervised representation learning
5177	Exploring Cross-Modal Flows for Few-Shot Learning Authors: Ziqi Jiang; Yanghao Wang; Long Chen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Representation Learning; Generative Model; Few-shot Learning; self-supervised; semi-supervised; and supervised representation learning
5178	Expressive yet Efficient Feature Expansion with Adaptive Cross-Hadamard Products Authors: Xuyang Zhang; Xi Zhang; Liang Chen; Hao Shi; Qingshan Guo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Efficient Deep Learning; Neural Architecture Search; Hadamard-based Operators; Feature Expansion and Reuse; self-supervised; semi-supervised; and supervised re…
5179	Fast Proteome-Scale Protein Interaction Retrieval via Residue-Level Factorization Authors: Jianan Zhao; Zhihao Zhan; Narendra Chaudhary; Xinyu Yuan; Zuobai Zhang; Qian Cong; Jian Zhou; Sanchit Misra; Jian Tang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Protein–protein interaction; Kernel methods; Random Fourier features; self-supervised; semi-supervised; and supervised representation learning
5180	FedOpenMatch: Towards Semi-Supervised Federated Learning in Open-Set Environments Authors: Hongquan Liu; ChenyuGuo; Yixin Ren; Jihong Guan; Shuigeng Zhou Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: semi-supervised federated learning; open-set; federated learning; self-supervised; semi-supervised; and supervised representation learning
5181	Federated Graph-Level Clustering Network with Dual Knowledge Separation Authors: Xiaobao Wang; Renda Han; Ronghao Fu; Di Jin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Clustering; Deep Graph Learning; Unsupervised Learning; self-supervised; semi-supervised; and supervised representation learning
5182	Fine-Grained Class-Conditional Distribution Balancing for Debiased Learning Authors: Miaoyun Zhao; Qiang Zhang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: group robust classification; spurious correlations; short-cut mitigation; distribution balancing; self-supervised; semi-supervised; and supervised representati…
5183	Fore-Mamba3D: Mamba-based Foreground-Enhanced Encoding for 3D Object Detection Authors: Zhiwei Ning; Xuanang Gao; Jiaxi Cao; Runze Yang; Huiying Xu; Xinzhong Zhu; JIE YANG; Wei Liu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: 3D Object Detection; Mamba; Foreground Representation; self-supervised; semi-supervised; and supervised representation learning
5184	Frequency-Balanced Retinal Representation Learning with Mutual Information Regularization Authors: Seunghoon Lee; Seongjae Kang; Inhyuk Park; Gitaek Kwon; Jihyeon Baek; Doohyun Park Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Masked Image Modeling; Masked Autoencoders; Representation Learning; Mutual Information; Retinal Imaging; Medical Imaging; self-supervised; semi-supervised; an…
5185	From Vicious to Virtuous Cycles: Synergistic Representation Learning for Unsupervised Video Object-Centric Learning Authors: Hyun Seok Seong; WonJun Moon; Jae-Pil Heo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Video Object-Centric Learning; Representation Learning; Object-Centric Learning; Unsupervised Learning; self-supervised; semi-supervised; and supervised repres…
5186	GUIDE: Gated Uncertainty-Informed Disentangled Experts for Long-tailed Recognition Authors: Yuan Dong; Zhe Zhao; Liheng Yu; Di Wu; Pengkun Wang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Long-Tailed Recognition; Multi-Expert Learning; Hierarchical Disentanglement; self-supervised; semi-supervised; and supervised representation learning
5187	Gauge-invariant representation holonomy Authors: Vasileios Sevetlidis; George Pavlidis Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Representation learning; Gauge invariance; Holonomy; Geometric deep learning; Robustness; self-supervised; semi-supervised; and supervised representation learn…
5188	Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic Loss Authors: Ruixin Guo; Xinyu Li; Hao Zhou; Yang Zhou; Ruoming Jin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: linear autoencoders; recommender system; closed-form solution; expected quadratic loss; self-supervised; semi-supervised; and supervised representation learning
5189	GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation Authors: Weijia Dou; Xu Zhang; Yi Bin; Jian Liu; Bo Peng; Guoqing Wang; Yang Yang; Heng Tao Shen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: 3D Scene Understanding; self-supervised; semi-supervised; and supervised representation learning
5190	GmNet: Revisiting Gating Mechanisms From A Frequency View Authors: Yifan Wang; Xu Ma; Yitian Zhang; Yizhou Wang; Zhongruo Wang; Sung-Cheol Kim; Vahid Mirjalili; Vidya Renganathan; Yun Fu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Efficient model; lightweight network design; self-supervised; semi-supervised; and supervised representation learning
5191	Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization Authors: Omri Uzan; Asaf Yehudai; roi pony; Eyal Shnarch; Ariel Gera Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Visual Document Retrieval; Test Time; Hybrid Retrieval; multimodal; RAG; self-supervised; semi-supervised; and supervised representation learning
5192	HARP: Hallucination Detection via Reasoning Subspace Projection Authors: Junjie Hu; Gang Tu; Cheng Shengyu; JinXin Li; Jinting Wang; Rui Chen; Zhilong Zhou; Dongbo Shan Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Hallucination detection; Subspace; Projection; SVD; self-supervised; semi-supervised; and supervised representation learning
5193	HFSTI-Net: Hierarchical Frequency-spatial-temporal Interactions for Video Polyp Segmentation Authors: Yuanqin He; Guilian Chen; Yuhua Zhang; Huisi Wu; Jing Qin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Frequency Learning; Video Segmentation; Medical Segmentation; Video Polyp Segmentation; self-supervised; semi-supervised; and supervised representation learning
5194	Hierarchical Prototype Learning for Semantic Segmentation Authors: Seoha Lim; Jinmyeong Kim; Jieun Kim; Sung-Bae Cho Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Semantic Segmentation; Contrastive Learning; Prototypical Networks; self-supervised; semi-supervised; and supervised representation learning
5195	Horseshoe Splatting: Handling Structural Sparsity for Uncertainty-Aware Gaussian-Splatting Radiance Field Rendering Authors: Feng Wu; Tsai Hor Chan; Yihang Chen; Lingting Zhu; Guosheng Yin; Lequan Yu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Bayesian Neural Network; Gaussian splatting; Horseshoe Prior; Structural Sparsity; Uncertainty; self-supervised; semi-supervised; and supervised representation…
5196	How Text Quality Interventions Reshape Neural Scaling Laws for LLMs: Empirical Study Authors: Newsha Ardalani; Feiyang Kang; Michael Kuchnik; Mostafa Elhoushi; Shubhabrata Sengupta; Shang-Wen Li; Carole-Jean Wu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Neural Scaling law; Text quality; self-supervised; semi-supervised; and supervised representation learning
5197	How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks Authors: Rahul Ramachandran; Ali Garjani; Roman Bachmann; Andrei Atanov; Oğuzhan Fatih Kar; Amir Zamir Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: vision benchmark; multimodal foundation models; vision language models; standard computer vision tasks; self-supervised; semi-supervised; and supervised repres…
5198	Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment Authors: Bac Nguyen; Yuhta Takida; Naoki Murata; Chieh-Hsin Lai; Toshimitsu Uesaka; Stefano Ermon; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Object-centric learning; diffusion models; contrastive learning; slot attention; compositionality; self-supervised; semi-supervised; and supervised representat…
5199	Improving Semantic Proximity in Information Retrieval through Cross-Lingual Alignment Authors: Seongtae Hong; Youngjoon Jang; Jungseob Lee; Hyeonseok Moon; Heuiseok Lim Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Cross-Lingual Alignment; Information Retrieval; Multilingual Embedding; Cross-Lingual Information Retrieval; self-supervised; semi-supervised; and supervised r…
5200	Improving Set Function Approximation with Quasi-Arithmetic Neural Networks Authors: Tomas Tokar; Scott Sanner Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: representation learning; set function learning; self-supervised; semi-supervised; and supervised representation learning
5201	In Context Semi-Supervised Learning Authors: Jiashuo Fan; Paul Rosu; Aaron T Wang; Lawrence Carin; Xiang Cheng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: semi-supervised learning; Transformer; In-context learning; self-supervised; semi-supervised; and supervised representation learning
5202	Incomplete Multi-View Multi-Label Classification via Shared Codebook and Fused-Teacher Self-Distillation Authors: Xu Yan; Jun Yin; Shiliang Sun; Minghua Wan Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: multi-label classification; dual incomplete multi-view multi-label classification; representation learning; label correlations; multi-view consistent represent…
5203	Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification Authors: Siyi Du; Xinzhe Luo; Declan O'regan; Chen Qin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multimodal Learning; Dynamic Neural Network; Missing Modality; Modality Fusion; self-supervised; semi-supervised; and supervised representation learning
5204	Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure Authors: Boshi Wang; Huan Sun Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Reversal Curse; The Binding Problem; Transformers; Reasoning; self-supervised; semi-supervised; and supervised representation learning
5205	IterResearch: Rethinking Long-Horizon Agents with Interaction Scaling Authors: Guoxin Chen; Zile Qiao; Xuanzhong Chen; Donglei Yu; Haotian Xu; Xin Zhao; Ruihua Song; Wenbiao Yin; Huifeng Yin; Liwen Zhang; Kuan Li; Minpeng Liao; Yong Jiang; Pengjun Xie; Fei H… Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Long-Horizon Agents; Deep Research; self-supervised; semi-supervised; and supervised representation learning
5206	Jacobian Aligned Random Forests Authors: Sarwesh Rauniyar Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Random forests; Decision trees; Axis-aligned splits; Oblique decision boundaries; Feature interactions; Supervised preconditioning; Gradient-based feature tran…
5207	KDP: Simplifying Representation Dynamics in Kernel Space Authors: Zeyu Ma; Wanying Wang; Guchu Zou; Mingang Chen; Jianhong Wu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Large Language Models; Model Compression; Structured Pruning; Kernel Space; self-supervised; semi-supervised; and supervised representation learning
5208	KLAS: Using Similarity to Stitch Neural Networks for Improved Accuracy-Efficiency Tradeoffs Authors: Debopam Sanyal; Anantharaman S. Iyer; Alind Khare; Trisha Jain; Akshay Jajoo; Myungjin Lee; James Clayton Kerce; Alexey Tumanov Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: representation learning; neural networks; deep learning; self-supervised; semi-supervised; and supervised representation learning
5209	Know When to Abstain: Optimal Selective Classification with Likelihood Ratios Authors: Alvin Heng; Harold Soh Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: selective classification; self-supervised; semi-supervised; and supervised representation learning
5210	LANE: Label-Aware Noise Elimination for Fine-Grained Text Classification Authors: Tiberiu Sosea; Cornelia Caragea Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: label noise; fine-grained classification; label relationships; self-supervised; semi-supervised; and supervised representation learning
5211	LINK: Learning Instance-level Knowledge from Vision-Language Models for Human-Object Interaction Detection Authors: WU EASTMAN Z Y; Ya-Li Li; Yuan Wang; Shengjin Wang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Human-object interaction detection; Vision-language model; zero-shot; open-vocabulary; self-supervised; semi-supervised; and supervised representation learning
5212	LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis Authors: Hangting Ye; Jinmeng Li; He Zhao; Mingchen Zhuge; Dandan Guo; Yi Chang; Hongyuan Zha Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Tabular data; Large language models; Anomaly detection; self-supervised; semi-supervised; and supervised representation learning
5213	LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures Authors: Hai Huang; Yann LeCun; Randall Balestriero Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: LLM; JEPA; fine-tuning; pretraining; self-supervised; semi-supervised; and supervised representation learning
5214	Large Language Model Compression with Global Rank and Sparsity Optimization Authors: Changhai Zhou; Qian Qiao; Yuhua Zhou; Yuxin Wu; Shichao Weng; WEIZHONG ZHANG; Cheng Jin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Low-rank and sparse approximations; Model Compression; Probabilistic Pruning; Global Sparsity-Rank Co-optimization; self-supervised; semi-supervised; and super…
5215	Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning Authors: Yue Cheng; Jiajun Zhang; Xiaohui Gao; Weiwei Xing; Zhanxing Zhu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: learning dynamics; semi-supervised learning; long-tailed; logits debiasing; self-supervised; semi-supervised; and supervised representation learning
5216	Learning Explicit Single-Cell Dynamics Using ODE Representations Authors: Jan-Philipp von Bassewitz; Adeel Pervez; Marco Fumero; Matthew R Robinson; Theofanis Karaletsos; Francesco Locatello Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: AI4Science; AI4Biology; gene interaction discovery; single-cell dynamics; dynamical systems; self-supervised; semi-supervised; and supervised representation le…
5217	Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability Authors: Tao Tao; Maissam Barkeshli Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: In-context Learning; Curriculum Learning; Interpretability; Transformers; Pseudo-Random Number Generators; self-supervised; semi-supervised; and supervised rep…
5218	Learning Robust Intervention Representations with Delta Embeddings Authors: Panagiotis Alimisis; Christos Diou Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: action representation; causal representation learning; interventions; self-supervised; semi-supervised; and supervised representation learning
5219	Learning Unified Representation of 3D Gaussian Splatting Authors: Yuelin Xin; Yuheng Liu; Xiaohui Xie; Xinke Li Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Representation Learning; 3D Gaussian Splatting; self-supervised; semi-supervised; and supervised representation learning
5220	Learning a distance measure from the information-estimation geometry of data Authors: Guy Ohayon; Pierre-Etienne H Fiquet; Florentin Guth; Jona Ballé; Eero P Simoncelli Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: information–estimation metric; metric learning; information geometry; score-based generative models; denoising diffusion models; Riemannian metrics; unsupervis…
5221	Learning from Label Proportions via Proportional Value Classification Authors: Tianhao Ma; Wei Wang; Ximing Li; Gang Niu; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Learning from label proportions; weakly supervised learning.; self-supervised; semi-supervised; and supervised representation learning
5222	Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement Authors: Yu-Che Tsai; Kuan-Yu Chen; Yuan-Chi Li; Yuan-Hao Chen; Ching-Yu Tsai; Shou-De Lin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Text embedding; LLM; representation learning; self-supervised; semi-supervised; and supervised representation learning
5223	Let OOD Feature Exploring Vast Predefined Classifiers Authors: Kewen Xia; Xiaodong Yue; WeiZhipeng; Yaxin Peng; Zihao Li; Jianxiang Zhu; Jie Shi; PeilinXu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Out of Distribution; Representation Learning; Neural Collapse; Evidential Deep Learning; self-supervised; semi-supervised; and supervised representation learni…
5224	Let's (not) just put things in Context: Test-time Training for Long-context LLMs Authors: Rachit Bansal; Aston Zhang; Rishabh Tiwari; Lovish Madaan; Sai Surya Duvvuri; Fnu Devvrit; David Brandfonbrener; David Alvarez-Melis; Prajjwal Bhargava; Mihir Kale; Samy Jelassi Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: long-context language models; test-time training; inference-time scaling; self-supervised; semi-supervised; and supervised representation learning
5225	LightRetriever: A LLM-based Text Retrieval Architecture with Extremely Faster Query Inference Authors: Guangyuan Ma; Yongliang Ma; Xuanrui Gou; Zhenpeng Su; Ming Zhou; Songlin Hu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Information Retrieval; Efficient Deploy; Fast Query Inference; LLM-based Text Retrieval; self-supervised; semi-supervised; and supervised representation learni…
5226	LipNeXt: Scaling up Lipschitz-based Certified Robustness to Billion-parameter Models Authors: Kai Hu; Haoqi Hu; Matt Fredrikson Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: robustness; Lipschitz; self-supervised; semi-supervised; and supervised representation learning
5227	Locality-Attending Vision Transformer Authors: Sina Hajimiri; Farzad Beizaee; Fereshteh Shakeri; Christian Desrosiers; Ismail Ben Ayed; Jose Dolz Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Vision Transformer; Semantic Segmentation; Attention Mechanism; Global Average Pooling; self-supervised; semi-supervised; and supervised representation learning
5228	LogicReward: Incentivizing LLM Reasoning via Step-Wise Logical Supervision Authors: Jundong Xu; Hao Fei; Huichi Zhou; Xin Quan; Qijun Huang; Shengqiong Wu; William Yang Wang; Mong-Li Lee; Wynne Hsu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: reasoning; logic; symbolic; self-supervised; semi-supervised; and supervised representation learning
5229	Lossy Common Information in a Learnable Gray-Wyner Network Authors: Anderson de Andrade; Alon Harell; Ivan V. Bajic Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: information theory; learnable compression; disentanglement; learning theory; representation learning; computer vision; neural networks; self-supervised; semi-s…
5230	MAPSS: Manifold-based Assessment of Perceptual Source Separation Authors: Amir Ivry; Samuele Cornell; Shinji Watanabe Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Audio Source Separation; Perceptual Quality Assessment; Uncertainty Quantification; Self‑Supervised Representation; Manifold Learning; self-supervised; semi-su…
5231	MILCO: Learned Sparse Retrieval Across Languages via a Multilingual Connector Authors: Thong Nguyen; Yibin Lei; Jia-Huei Ju; Eugene Yang; Andrew Yates Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: learned sparse retrieval; multilingual retrieval; cross-lingual retrieval; neural lexical search; self-supervised; semi-supervised; and supervised representati…
5232	MULTIMODALITY AS SUPERVISION: SELF-SUPERVISED SPECIALIZATION TO THE TEST ENVIRONMENT VIA MULTIMODALITY Authors: Kunal Pratap Singh; Ali Garjani; Rishubh Singh; Muhammad Uzair Khattak; Efe Tarhan; Jason Toskov; Andrei Atanov; Oğuzhan Fatih Kar; Amir Zamir Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: specialization; multimodal; transfer learning; self-supervised; semi-supervised; and supervised representation learning
5233	Massively Multimodal Foundation Models: A Framework for Capturing Interactions with Specialized Mixture-of-Experts Authors: Xing Han; Hsing-Huan Chung; Joydeep Ghosh; Paul Pu Liang; Suchi Saria Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multimodal Interaction; Mixture-of-Experts; Transformer; self-supervised; semi-supervised; and supervised representation learning
5234	Maximizing Asynchronicity in Event-based Neural Networks Authors: Haiqing Hao; Nikola Zubic; Weihua He; Zhipeng Sui; Davide Scaramuzza; Wenhui Wang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: event camera; self-supervised learning; linear attention; linear RNN; neural network architectures; self-supervised; semi-supervised; and supervised representa…
5235	Maximizing Incremental Information Entropy for Contrastive Learning Authors: Jiansong Zhang; Zhuoqin Yang; Xu Wu; Xiaoling Luo; Peizhong Liu; Linlin Shen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Self-supervised Learning; Contrastive Learning; Incremental Entropy Maximization; Information Bottleneck; self-supervised; semi-supervised; and supervised repr…
5236	Measuring the Intrinsic Dimension of Earth Representations Authors: Arjun Rao; Marc Rußwurm; Konstantin Klemmer; Esther Rolf Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Implicit Neural Representations; Location Encoding; Intrinsic Dimension; self-supervised; semi-supervised; and supervised representation learning
5237	Mechanistic Independence: A Principle for Identifiable Disentangled Representations Authors: Stefan Matthes; Zhiwei Han; Hao Shen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Identifiability; Disentangled Representation; Mechanistic Independence; self-supervised; semi-supervised; and supervised representation learning
5238	MergeTune: Continued Fine-Tuning of Vision-Language Models Authors: Wenqing Wang; Da Li; Xiatian Zhu; Josef Kittler Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Vision-Language Models; Continue Learning; Parameter-Efficient Fine-Tuning; Robust Fine-Tuning; self-supervised; semi-supervised; and supervised representation…
5239	Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics Authors: Christopher Hoang; Mengye Ren Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: self-supervision learning; representation learning; latent dynamics; natural videos; object recognition; motion understanding; computer vision; self-supervised…
5240	Mini-cluster Guided Long-tailed Deep Clustering Authors: Zhixin Li; Yuheng Jia; Guanliang Chen; Hui LIU; Junhui Hou Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Deep Clustering; Clustering; Long-tailed Clustering; self-supervised; semi-supervised; and supervised representation learning
5241	Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets Authors: Sung Ho Jo; Seonghwi Kim; Minwoo Chae Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Spurious Correlation; Subpopulation Shift; Group Distributionally Robust Optimization; Wasserstein Distributionally Robust Optimization; self-supervised; semi-…
5242	Modeling the Density of Pixel-level Self-supervised Embeddings for Unsupervised Pathology Segmentation in Medical CT Authors: Mikhail Goncharov; Eugenia Soboleva; Daniil Ignatyev; Mariia Donskova; Mikhail Belyaev; Ivan Oseledets; Marina Munkhoeva; Maxim Panov Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Unsupervised Visual Anomaly Segmentation; Self-supervised learning; Density estimation; Computed Tomography; self-supervised; semi-supervised; and supervised r…
5243	Multi-Condition Conformal Selection Authors: Qingyang Hao; Wenbo Liao; Bingyi Jing; Hongxin Wei Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Uncertainty Quantification; Conformal Inference; False Discovery Control; self-supervised; semi-supervised; and supervised representation learning
5244	Multi-ReduNet: Interpretable Class-Wise Decomposition of ReduNet Authors: Fengrong Li; Delin Chu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: interpretable machine learning; white-box neural networks; ReduNet; Multi-ReduNet; self-supervised; semi-supervised; and supervised representation learning
5245	Multi-Scale Diffusion-Guided Graph Learning with Power-Smoothing Random Walk Contrast for Multi-View Clustering Authors: Feiyang Chen; Ruiqiang Guo; Zhibin Gu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multi-view Clustering; self-supervised; semi-supervised; and supervised representation learning
5246	Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows Authors: Patara Trirat; Wonyong Jeong; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Agentic Workflows; Performance Prediction; Multi-View Encoding; Unsupervised Pretraining; Large Language Models; self-supervised; semi-supervised; and supervis…
5247	Multimodal Classification via Total Correlation Maximization Authors: Feng Yu; Xiangyu Wu; Yang Yang; Jianfeng Lu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multimodal Learning; Modality Imbalance; Multimodal Classification; self-supervised; semi-supervised; and supervised representation learning
5248	Multimodal Dataset Distillation via Phased Teacher Models Authors: Shengbin Guo; Hang Zhao; Senqiao Yang; Chenyang Jiang; Yuhang Cheng; Xiangru Peng; Rui Shao; Zhuotao Tian Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Dataset Distillation; multimodal learning; self-supervised; semi-supervised; and supervised representation learning
5249	NAB: Neural Adaptive Binning for Sparse-View CT reconstruction Authors: Wangduo Xie; Matthew B. Blaschko Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Binning; Rotation; Reconstruction; Computed Tomography; self-supervised; semi-supervised; and supervised representation learning
5250	NeMo-map: Neural Implicit Flow Fields for Spatio-Temporal Motion Mapping Authors: Yufei Zhu; Shih-Min Yang; Andrey Rudenko; Tomasz Piotr Kucner; Achim J. Lilienthal; Martin Magnusson Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Neural Implicit Representation; Spatiotemporal Dynamics; Human Motion Modeling; Maps of Dynamics; self-supervised; semi-supervised; and supervised representati…
5251	NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks Authors: Nandan Kumar Jha; Brandon Reagen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Eigenspectrum; feed-forward networks; training dynamics; latent space geometry; optimizer geometry; self-supervised; semi-supervised; and supervised representa…
5252	NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization Authors: Xiyuan Wei; Chih-Jen Lin; Tianbao Yang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Representation Learning; Contrastive Learning; self-supervised; semi-supervised; and supervised representation learning
5253	Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers Authors: Nico Pelleriti; Christoph Spiegel; Shiwei Liu; David Martínez-Rubio; Max Zimmer; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: transformer; ai4math; ai4science; sum-of-squares; polynomial; self-supervised; semi-supervised; and supervised representation learning
5254	Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning Authors: Hengwei Zhao; Zhengzhong Tu; Zhuo Zheng; Wei Wang; Junjue Wang; Rusty Feagin; Wenzhe Jiao Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: PU Learning; Non-contrastive representation Learning; self-supervised; semi-supervised; and supervised representation learning
5255	On the Alignment Between Supervised and Self-Supervised Contrastive Learning Authors: Achleshwar Luthra; Priyadarsi Mishra; Tomer Galanti Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Representation alignment; self-supervised learning; contrastive learning; self-supervised; semi-supervised; and supervised representation learning
5256	On the Theoretical Limitations of Embedding-Based Retrieval Authors: Orion Weller; Michael Boratko; Iftekhar Naim; Jinhyuk Lee Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: retrieval; embeddings; limitations; theoretical; dataset; evaluation; self-supervised; semi-supervised; and supervised representation learning
5257	One-Shot Exemplars for Class Grounding in Self-Supervised Learning Authors: Haowen Cui; Shuo Chen; Jun Li; Jian Yang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Self-supervised learning; One-shot exemplar; Representation learning; self-supervised; semi-supervised; and supervised representation learning
5258	Optimizer Choice Matters For The Emergence of Neural Collapse Authors: Jim Zhao; Tin Sum Cheng; Wojciech Masarczyk; Aurelien Lucchi Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: neural collapse; implicit bias; deep learning theory; classification; adaptive optimizers; training dynamics; adamw; sgd; weight decay; self-supervised; semi-s…
5259	OrthoRF: Exploring Orthogonality in Object-Centric Representations Authors: Despoina Touska; Bastiaan Onne Fagginger Auer; Alexandru Onose; Tejaswi Kasarla; Luis Armando Pérez Rey; Maximilian Lipp; Lyubov Amitonova; Martin R. Oswald; Pascal Cerfontaine Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Object Discovery; Object-Centric Representations; Structured Representation Learning; Orthogonality; self-supervised; semi-supervised; and supervised represent…
5260	Out-of-Distribution Graph Models Merging Authors: Yidi Wang; Ziyue Qiao; Jiawei Gu; Xubin Zheng; Pengyang Wang; pei Xiaobing; Xiao Luo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Graph Models Merging; Source-Free Domain Generalization; Graph Neural Networks; self-supervised; semi-supervised; and supervised representation learning
5261	PGRF-Net: A Prototype-Guided Relational Fusion Network for Diagnostic Multivariate Time-Series Anomaly Detection Authors: Jahoon Jeong; Hyunsoo Yoon Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multivariate Timeseries Anomaly Detection; Time-Series Diagnostics; Prototype Learning; Relational Time-Series Modeling; self-supervised; semi-supervised; and…
5262	PHyCLIP: $\ell_1$-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learning Authors: Daiki Yoshikawa; Takashi Matsubara Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Vision-language representation learning; compositionality; Boolean algebra; hyperbolic embedding; self-supervised; semi-supervised; and supervised representati…
5263	PIRN: Prototypical-based Intra-modal Reconstruction with Normality Communication for Multi-modal Anomaly Detection. Authors: YITING LI; Xulei Yang; Jing Zhang; Sichao Tian; Jingyi Liao; Fayao Liu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: anomaly detection; self-supervised; semi-supervised; and supervised representation learning
5264	PRISM: Partial-label Relational Inference with Spatial and Spectral Cues Authors: Yiyang Gu; Wenrui Wu; Yifang Qin; Taian Guo; Tao Zhe; Jiaru Tang; Zhiping Xiao; Weizhi Zhang; Ziyue Qiao; Wei Ju; Dongjie Wang; Xiao Luo; Philip S. Yu; Ming Zhang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Weak Supervised Learning; Graph Neural Networks; Relational Inference; self-supervised; semi-supervised; and supervised representation learning
5265	PRISM: Progressive Robust Learning for Open-World Continual Category Discovery Authors: Wei Feng; Sijin Zhou; Yiwen Jiang; Zongyuan Ge Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Continual Category Discovery; Generalized category discovery; Domain shift; self-supervised; semi-supervised; and supervised representation learning
5266	PU-BENCH: A UNIFIED BENCHMARK FOR RIGOROUS AND REPRODUCIBLE PU LEARNING Authors: Qiuyi Chen; Haiyang Zhang; Leqi Zhang; Changchun Li; Jia Wang; Wei Wang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: PU learning; semi-supervised leaning; benchmark; self-supervised; semi-supervised; and supervised representation learning
5267	Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification Authors: Chengliang Liu; Bo Li; Bob Zhang; Xiaoling Luo; Yabo Liu; Jie Wen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multi-Label Classification; Multi-View Learning; Information bottleneck; self-supervised; semi-supervised; and supervised representation learning
5268	Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method Authors: Masoumeh Sharafi; Soufiane Belharbi; Muhammad Osama Zeeshan; HOUSSEM Ben Salem; Ali Etemad; Alessandro Lameiras Koerich; Marco Pedersoli; Simon L Bacon; Eric Granger Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: unsupervised domain adaptation; source free; personalization; videos; facial expression recognition; domain translation; self-supervised; semi-supervised; and…
5269	Polynomial, trigonometric, and tropical activations Authors: Ismail Khalfaoui-Hassani; Stefan Kesselheim Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Orthogonal function bases; Tropical polynomials; Polynomial mapping; Deep neural networks; ImageNet-1K; OpenWebText; Transformers; GPT2; Convolutional networks…
5270	Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation Authors: Ziyu Wang; Shuangpeng Han; Mengmi Zhang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Prior Learning; Pose Estimation; self-supervised; semi-supervised; and supervised representation learning
5271	Pseudo-Non-Linear Data Augmentation: A Constrained Energy Minimization Viewpoint Authors: Pingbang Hu; Mahito Sugiyama Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: data augmentation; information geometry; energy-based model; self-supervised; semi-supervised; and supervised representation learning
5272	Quasi-Monte Carlo Methods Enable Extremely Low-Dimensional Deep Generative Models Authors: Miles Martinez; Alex H Williams Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: representation learning; quasi monte-carlo integration; generative modeling; variational autoencoder; self-supervised; semi-supervised; and supervised represen…
5273	RAEE: A Robust Retrieval-Augmented Early Exit Framework for Efficient Inference Authors: LIANMING HUANG; Shangyu Wu; Yufei Cui; Ying Xiong; Haibo Hu; Xue Liu; Tei-Wei Kuo; Nan Guan; Chun Jason Xue Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Early Exit; Retrieval Augmentation; Large Language Model; self-supervised; semi-supervised; and supervised representation learning
5274	ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization Authors: Guoxin Chen; Wu Jing; Xinjie Chen; Xin Zhao; Ruihua Song; Chengxi Li; Kai Fan; Dayiheng Liu; Minpeng Liao Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Autoformalization; Automated Theorem Proving; self-supervised; semi-supervised; and supervised representation learning
5275	ReLaSH: Reconstructing Joint Latent Spaces for Efficient Generation of Synthetic Hypergraphs with Hyperlink Attributes Authors: Feiyan Ma; Shihao Wu; Gongjun Xu; Ji Zhu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: hypergraphs; latent space models; structured data generation; self-supervised; semi-supervised; and supervised representation learning
5276	Reconstruct Anything Model a lightweight general model for computational imaging Authors: Matthieu Terris; Samuel Hurault; Maxime Song; Julián Tachella Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: computational imaging; deep learning; self-supervised learning; foundation models; self-supervised; semi-supervised; and supervised representation learning
5277	Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation Authors: Xinhao Zhong; Shuoyang Sun; Xulin Gu; Chenyang Zhu; Bin Chen; Yaowei Wang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: decoupled dataset distillation; self-supervised; semi-supervised; and supervised representation learning
5278	Reducing Class-Wise Performance Disparity via Margin Regularization Authors: Beier Zhu; Kesen Zhao; Jiequan Cui; Qianru Sun; Yuan Zhou; Xun Yang; Hanwang Zhang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: image classification; class-wise performance gap; self-supervised; semi-supervised; and supervised representation learning
5279	Relationship Alignment for View-aware Multi-view Clustering Authors: Shuangmei Peng; Zhe Chen; Tianyang Xu; Xiaojun Wu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Relationship Alignment; View-Aware Contrastive Learning; Multi-View Clustering; self-supervised; semi-supervised; and supervised representation learning
5280	Resurfacing the Instance-only Dependent Label Noise Model through Loss Correction Authors: Mustafa Enes Aydın; Maarten De Vos; Alexander Bertrand Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: label noise; loss correction; instance-dependence; risk equivalence; self-supervised; semi-supervised; and supervised representation learning
5281	Rethinking Consistent Multi-Label Classification Under Inexact Supervision Authors: Wei Wang; Tianhao Ma; Ming-Kun Xie; Gang Niu; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multi-label classification; partial multi-label learning; complementary multi-label learning.; self-supervised; semi-supervised; and supervised representation…
5282	Rethinking JEPA: Compute‑Efficient Video Self-Supervised Learning with Frozen Teachers Authors: Xianhang Li; Chen Huang; Chun-Liang Li; Eran Malach; Joshua M. Susskind; Vimal Thilak; Etai Littwin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: SALT; video; SSL; video_representation_learning; masked_video_modeling; MAE; JEPA; latent_space_ prediction; self-supervised; semi-supervised; and supervised r…
5283	Revisiting [CLS] and Patch Token Interaction in Vision Transformers Authors: Alexis Marouani; Oriane Siméoni; Herve Jegou; Piotr Bojanowski; Huy V. Vo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: representation; vision; transformer; SSL; attention; specialization; architecture; interpretability; DINO; DINOv2; CLIP; DEIT; self-supervised; semi-supervised…
5284	Riemannian Optimization on Relaxed Indicator Matrix Manifold Authors: Jh Yuan; Fangyuan Xie; Feiping Nie; Xuelong Li Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Optimization; Clustering; Graph Cut; self-supervised; semi-supervised; and supervised representation learning
5285	Robust Test-time Video-Text Retrieval: Benchmarking and Adapting for Query Shifts Authors: Bingqing Zhang; Zhuo Cao; Heming Du; Yang Li; Xue Li; Jiajun Liu; Sen Wang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Video-Text Retrieval; Test-time Adaptation; self-supervised; semi-supervised; and supervised representation learning
5286	Robustify Spiking Neural Networks via Dominant Singular Deflation under Heterogeneous Training Vulnerability Authors: Desong Zhang; Jia Hu; Geyong Min Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Neuromophic computing; Spiking neural networks; robustness; self-supervised; semi-supervised; and supervised representation learning
5287	SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised Learning Authors: Sunguk Jang; Jinwoo Jeon; Byung-Jun Lee Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: long-tailed; semi-supervised learning; intra-super-class imbalance; self-supervised; semi-supervised; and supervised representation learning
5288	SNAPHARD CONTRAST LEARNING Authors: Changpu Meng; Jie Yang; Wanqing Li; Yi Guo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Contrastive Learning; Hard Sample Screening; Contrastive Loss; Computational Geometry; self-supervised; semi-supervised; and supervised representation learning
5289	SWERank: Software Issue Localization with Code Ranking Authors: Revanth Gangi Reddy; Tarun Suresh; JaeHyeok Doo; Ye Liu; Xuan-Phi Nguyen; Yingbo Zhou; Semih Yavuz; Caiming Xiong; Heng Ji; Shafiq Joty Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Software Issue Localization; Automated Code Repair; Retrieve-and-Rerank; self-supervised; semi-supervised; and supervised representation learning
5290	Samples Are Not Equal: A Sample Selection Approach for Deep Clustering Authors: Zhengxing Jiao; Yaxin Hou; Jun Ma; Yuhang Li; Ding Ding; Yuheng Jia; Hui LIU; Junhui Hou Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Deep Clustering; Clustering; Sample Selection; self-supervised; semi-supervised; and supervised representation learning
5291	Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation Authors: Xuwang Yin; Claire Zhang; Julie Steele; Nir N Shavit; Tony T. Wang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Joint Modeling; Energy-Based Models (EBMs); Adversarial Training; Robust Classification; Generative Modeling; PGD Attacks; explainability; self-supervised; sem…
5292	Selective Rotary Position Embedding Authors: Sajad Movahedi; Timur Carstensen; Arshia Afzal; Frank Hutter; Antonio Orvieto; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: RoPE; Linear Transformer; Attention; State Space Models; Forget Gate; self-supervised; semi-supervised; and supervised representation learning
5293	Self-Supervised Learning from Structural Invariance Authors: Yipeng Zhang; Hafez Ghaemi; Jungyoon Lee; Shahab Bakhtiari; Eilif B. Muller; Laurent Charlin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Self-supervised learning; representation learning; disentanglement; self-supervised; semi-supervised; and supervised representation learning
5294	Semantic Voting: A Self-Evaluation-Free Approach for Efficient LLM Self-Improvement on Unverifiable Open-ended Tasks Authors: Chunyang Jiang; Yonggang Zhang; Yiyang Cai; Chi-Min Chan; Yulong Liu; Mingming Chen; Wei Xue; Yike Guo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: LLM; unsupervised learning; self-improvement; self-supervised; semi-supervised; and supervised representation learning
5295	Separable Neural Networks: Approximation Theory, NTK Regime, and Preconditioned Gradient Descent Authors: Yisi Luo; Deyu Meng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Separable Neural Networks; Approximation Theory; Preconditioned Gradient Descent; Neural Tangent Kernel; self-supervised; semi-supervised; and supervised repre…
5296	Sequential Information Bottleneck Fusion: Towards Robust and Generalizable Multi-Modal Brain Tumor Segmentation Authors: TIANYI LIU; Xi Yang; Wei Wang; Anh Nguyen; Haochuan Jiang; Kaizhu Huang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Brain Tumor Segmentation; Missing Modality; Generalization; Robustness; self-supervised; semi-supervised; and supervised representation learning
5297	SiNGER: A Clearer Voice Distills Vision Transformers Further Authors: Geunhyeok Yu; Sunjae Jeong; Yoonyoung Choi; Jaeseung Kim; Hyoseok Hwang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Vision foundation models; model compression; knowledge distillation; representation learning; self-supervised; semi-supervised; and supervised representation l…
5298	SigLIP-HD by Fine-to-Coarse Supervision Authors: Lihe Yang; Zhen Zhao; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: vision-language model; multi-modality LLM; self-supervised; semi-supervised; and supervised representation learning
5299	Soft Equivariance Regularization for Invariant Self-Supervised Learning Authors: Joohyung Lee; Changhun Kim; Hyunsu Kim; Kwanhyung Lee; Juho Lee Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Soft Equivariance; Self-Supervised Learning; Invariant Representation; Vision Transformer; self-supervised; semi-supervised; and supervised representation lear…
5300	Softmax is not Enough (for Adaptive Conformal Classification) Authors: Navid Akhavan Attar; Hesam Asadollahzadeh; Ling Luo; Uwe Aickelin Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Conformal Prediction; Energy-based Models; Uncertainty Estimation; self-supervised; semi-supervised; and supervised representation learning
5301	Spatial Structure and Selective Text Jointly Facilitate Image Clustering Authors: Zizheng Jiu; Feijiang Li; Jieting Wang; Yuhua Qian; Lu Chen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Image clustering; self-supervised; semi-supervised; and supervised representation learning
5302	Spatially Informed Autoencoders for Interpretable Visual Representation Learning Authors: Dominik Sturm; Hiba Bensalem; Ivo F. Sbalzarini Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: autoencoder; visual representation; point process; conditional simulation; interpretable machine learning; self supervision; spatial statistics; self-supervise…
5303	Spectral Attention Steering for Prompt Highlighting Authors: Weixian Waylon Li; Yuchen Niu; Yongxin Yang; Keshuang Li; Tiejun Ma; Shay B Cohen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Attention steering; Large language model alignment; self-supervised; semi-supervised; and supervised representation learning
5304	SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery Authors: Lorenzo Caselli; Marco Mistretta; Simone Magistri; Andrew D. Bagdanov Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Generalized Category Discovery; Spectral Filtering; Semi-Supervised Representation Learning; self-supervised; semi-supervised; and supervised representation le…
5305	SpikeGen: Decoupled “Rods and Cones” Visual Representation Processing with Latent Generative Framework Authors: Gaole Dai; Menghang Dong; Rongyu Zhang; Ruichuan An; Tiejun Huang; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: bio-inspired; image representation learning; self-supervised; semi-supervised; and supervised representation learning
5306	Splat Regression Models Authors: Mara Daniels; Philippe Rigollet Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Wasserstein; Fisher-Rao; gradient flow; gaussian splatting; scientific machine learning; self-supervised; semi-supervised; and supervised representation learni…
5307	Splat and Distill: Augmenting Teachers with Feed-Forward 3D Reconstruction For 3D-Aware Distillation Authors: David Shavin; Sagie Benaim Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: 3D Aware Feature Distillation; Visual Foundation Models; 3D Gaussian Splatting; Feed-Forward 3D Reconstruction; DINOv2; self-supervised; semi-supervised; and s…
5308	Statistical and structural identifiability in representation learning Authors: Walter Nelson; Marco Fumero; Theofanis Karaletsos; Francesco Locatello Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: identifiability; self-supervised learning; disentanglement; self-supervised; semi-supervised; and supervised representation learning
5309	Stochastic Optimal Control for Continuous-Time fMRI Representation Learning Authors: Joonhyeong Park; Byoungwoo Park; Chang-Bae Bang; Jungwon Choi; Hyungjin Chung; Byung-Hoon Kim; Juho Lee Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: self-supervised learning; neural differential equations; irregular time-series; fMRI; self-supervised; semi-supervised; and supervised representation learning
5310	Summaries as Centroids for Interpretable and Scalable Text Clustering Authors: Jairo Diaz-Rodriguez Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Text clustering; unsupervised learning; natural language processing; self-supervised; semi-supervised; and supervised representation learning
5311	Supporting Multimodal Intermediate Fusion with Informatic Constraint and Distribution Coherence Authors: Yi Li; Fei Song; Changwen Zheng; Jiangmeng Li Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multimodal representation learning; Generalization error; Informatic constraint; Distribution cohering; self-supervised; semi-supervised; and supervised repres…
5312	TIGaussian: Disentangle Gaussians for Spatial-Awared Text-Image-3D Alignment Authors: Jiarun Liu; Qifeng Chen; Yiru Zhao; Minghua Liu; Baorui Ma; Sheng Yang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multimodal; Gaussian Splatting; Contrastive Learning; self-supervised; semi-supervised; and supervised representation learning
5313	TRIDENT: Cross-Domain Trajectory Spatio-Temporal Representation via Distance-Preserving Triplet Learning Authors: Guan Yi Jhang; Jeng-Chung Lien; Yu Hui-Ching; Hsu-Chao Lai; Jiun-Long Huang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Spatiotemporal representation learning; Trajectory analysis; Cross-domain generalization; Triplet loss; Distance metric learning; self-supervised representatio…
5314	TS-DDAE: A Novel Temporal-Spectral Denoising Diffusion AutoEncoder for Wireless Signal Recognition Model Pre-training Authors: Yaoqi Liu; Jin Wang; Hui Wang; Chuan Shi Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Diffusion; Wireless Signal Recognition; Pre-training; self-supervised; semi-supervised; and supervised representation learning
5315	Taming Polysemanticity in LLMs: Theory-Grounded Feature Recovery via Sparse Autoencoders Authors: Siyu Chen; Heejune Sheen; Xuyuan Xiong; Tianhao Wang; Zhuoran Yang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: sparse autoencoder; training dynamics; superposition; feature learning; self-supervised; semi-supervised; and supervised representation learning
5316	The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators Authors: Mansi Sakarvadia; Kareem Hegazy; Amin Totounferoush; Kyle Chard; Yaoqing Yang; Ian Foster; Michael W. Mahoney Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Partial differential equations; Neural operators; super-resolution; zero-shot super-resolution; multi-resolution training; self-supervised; semi-supervised; an…
5317	There Was Never a Bottleneck in Concept Bottleneck Models Authors: Antonio Almudévar; José Miguel Hernández-Lobato; Alfonso Ortega Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: concept bottleneck models; information bottleneck; representation learning; variational inference; self-supervised; semi-supervised; and supervised representat…
5318	Thicker and Quicker: The Jumbo Token for Fast Plain Vision Transformers Authors: Anthony Fuller; Yousef Yassin; Daniel Kyrollos; Evan Shelhamer; James R Green Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: efficient deep learning; computer vision; vision transformers; self-supervised; semi-supervised; and supervised representation learning
5319	Token Distillation: Attention-Aware Input Embeddings for New Tokens Authors: Konstantin Dobler; Desmond Elliott; Gerard de Melo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: embedding initialization; tokenizer; vocabulary adaptation; self-supervised; semi-supervised; and supervised representation learning
5320	Toward Enhancing Representation Learning in Federated Multi-Task Settings Authors: Mehdi Setayesh; Mahdi Beitollahi; Yasser H. Khalil; Hongliang Li Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Contrastive learning; federated learning; knowledge transfer; multi-task learning; mutual information; representation learning; self-supervised; semi-supervise…
5321	Toward Principled Flexible Scaling for Self-Gated Neural Activation Authors: Sudong Cai; Shuyuan Zheng; Bingzhi Chen; Shuai Yuan; Chuan Xiao; Jianbin Qin; Bing WANG Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Neural Activation Functions; Principled Neural Activation Modeling; Neural Activation Interpretation; Non-local Information Modeling; self-supervised; semi-sup…
5322	Towards Improved Sentence Representations using Token Graphs Authors: Krishna Sri Ipsit Mantri; Carola-Bibiane Schönlieb; Zorah Lähner; Moshe Eliasof Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Graph-based token pooling; Sentence embeddings; self-supervised; semi-supervised; and supervised representation learning
5323	Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO Authors: Xin Yang; Letian Li; Abudukelimu Wuerkaixi; Xuxin Cheng; Cao Liu; Ke Zeng; Xunliang Cai; Wenyuan Jiang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: large language model; robustness; post training; self-supervised; semi-supervised; and supervised representation learning
5324	TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning Authors: Shenzhi Yang; Guangcheng Zhu; Haobo Wang; Xing Zheng; Yingfan MA; Zhongqi Chen; Bowen Song; Weiqiang Wang; Junbo Zhao; Gang Chen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Reinforcement Learning with Verifiable Rewards; Semi-supervised Learning; Large Language Model; self-supervised; semi-supervised; and supervised representation…
5325	Train on Validation (ToV): Fast data selection with applications to fine-tuning Authors: Ayush Jain; Andrea Montanari; Eren Sasoglu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Data selection; Influence function; Instruction tuning; LLM; self-supervised; semi-supervised; and supervised representation learning
5326	TrainRef: Curating Data with Label Distribution and Minimal Reference for Accurate Prediction and Reliable Confidence Authors: Murong Ma; Ruofan Liu; Yun Lin; Zhiyong Huang; Jin Song Dong Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Label misinformation; data curation; influence function; self-supervised; semi-supervised; and supervised representation learning
5327	Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling Authors: Yuan Wang; Yuhao Wan; Siming Zheng; Bo Li; Qibin Hou; Peng-Tao Jiang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: diffusion_models; deep_learning; reference-based super-resolution; self-supervised; semi-supervised; and supervised representation learning
5328	Tucker-FNO: Tensor Tucker-Fourier Neural Operator and its Universal Approximation Theory Authors: Guancheng Zhou; Zelin Zeng; Yisi Luo; Qi Xie; Deyu Meng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Neural Operator; Implicit Neural Representation; Functional Tensor Decomposition; self-supervised; semi-supervised; and supervised representation learning
5329	Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity Authors: Moussa Koulako Bala Doumbouya; Dan Jurafsky; Christopher D Manning Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: machine learning; psychology; neural networks; self-supervised; semi-supervised; and supervised representation learning
5330	UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings Authors: Zhibin Lan; Liqiang Niu; Fandong Meng; Jie Zhou; Jinsong Su Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: multimodal embedding; representation learning; multimodal large language model; reasoning model; self-supervised; semi-supervised; and supervised representatio…
5331	Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models Authors: Jiaqi Leng; Xiang Hu; Junxiong Wang; Jianguo Li; Wei Wu; Yucheng Lu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: long-context modeling; length generalization; length extrapolation; sparse attention; language modeling; self-supervised; semi-supervised; and supervised repre…
5332	Understanding the Learning Phases in Self-Supervised Learning via Critical Periods Authors: JangHyeon Lee; Philipe Ambrozio Dias; Yao-Yi Chiang; Dalton Lunga Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Learning Phases; Critical Periods; Self-Supervised Learning; self-supervised; semi-supervised; and supervised representation learning
5333	UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels Authors: Hangke Sui; Yuqing Wang; Minh N. Do Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: contrastive learning; representation learning; multimodal alignment; self-supervised; semi-supervised; and supervised representation learning
5334	UniOD: A Universal Model for Outlier Detection across Diverse Domains Authors: Dazhi Fu; Jicong Fan Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: outlier detection; self-supervised; semi-supervised; and supervised representation learning
5335	UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking Authors: Bishoy Galoaa; Xiangyu Bai; Utsav Nandi; Sai Siddhartha Vivek Dhir Rangoju; Somaieh Amraee; Sarah Ostadabbas Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multi-object tracking; graph representation learning; differentiable optimization; end-to-end learning; identity preservation; spatio-temporal modeling; flow n…
5336	Unified 3D Scene Understanding Through Physical World Modeling Authors: Wanhee Lee; Klemen Kotar; Rahul Mysore Venkatesh; Jared Watrous; Honglin Chen; Khai Loong Aw; Daniel LK Yamins Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: 3D Scene Undertstanding; Visual World Models; self-supervised; semi-supervised; and supervised representation learning
5337	Unified and Efficient Multi-view Clustering from Probabilistic Perspective Authors: Yalan Qin; Guorui Feng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multi-view clustering; anchor; efficiency; a unified manner; self-supervised; semi-supervised; and supervised representation learning
5338	Universal Beta Splatting Authors: Rong Liu; Zhongpai Gao; Benjamin Planche; Meida Chen; Van Nguyen Nguyen; Meng Zheng; Anwesa Choudhuri; Terrence Chen; Yue Wang; Andrew Feng; Ziyan Wu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Radiance Field; Splatting; self-supervised; semi-supervised; and supervised representation learning
5339	Unlearning Evaluation through Subset Statistical Independence Authors: Chenhao Zhang; Muxing Li; Feng Liu; Weitong Chen; Miao Xu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Machine Unlearning; self-supervised; semi-supervised; and supervised representation learning
5340	Unlocking the Power of Co-Occurrence in CLIP: A DualPrompt-Driven Method for Training-Free Zero-Shot Multi-Label Classification Authors: Ming-Kun Xie; Zhiqiang Kou; Zhongnian Li; Gang Niu; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Zero-shot multi-label classification; co-occurrence; self-supervised; semi-supervised; and supervised representation learning
5341	Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification Authors: Lukas Rauch; René Heinrich; Houtan Ghaffari; Lukas Miklautz; Ilyass Moummad; Bernhard Sick; Christoph Scholz Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: audio self-supervised learning; probing; frozen embeddings; bioacoustics; self-supervised; semi-supervised; and supervised representation learning
5342	Unsupervised Representation Learning - an Invariant Risk Minimization Perspective Authors: Yotam Norman; Ron Meir Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Unsupervised Learning; Invariant Risk Minimization; Variational Autoencoder; Principal Components Analysis; self-supervised; semi-supervised; and supervised re…
5343	VIRTUE: Visual-Interactive Text-Image Universal Embedder Authors: Wei-Yao Wang; Kazuya Tateishi; Qiyu Wu; Shusuke Takahashi; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Visual-interactive embedding model; VLM-based representation learning; interactive image-to-text retrieval benchmark; self-supervised; semi-supervised; and sup…
5344	Verification of the Implicit World Model in a Generative Model via Adversarial Sequences Authors: András Balogh; Márk Jelasity Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: generative sequence model; implicit world model; adversarial sequences; chess; self-supervised; semi-supervised; and supervised representation learning
5345	VideoAgentTrek: Computer-Use Pretraining from Unlabeled Videos Authors: Dunjie Lu; Yiheng Xu; Junli Wang; Haoyuan Wu; Xinyuan Wang; Zekun Wang; Junlin Yang; Hongjin SU; Jixuan Chen; Junda Chen; Yuchen Mao; Junyang Lin; Binyuan Hui; Tao Yu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: VideoAgentTrek; self-supervised; semi-supervised; and supervised representation learning
5346	VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration Authors: Hanxun Yu; Wentong Li; Xuan Qu; Song Wang; Junbo Chen; Jianke Zhu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Multimodal Alignment; Vision Language Model; self-supervised; semi-supervised; and supervised representation learning
5347	Vulcan: Crafting Compact Class-Specific Vision Transformers For Edge Intelligence Authors: Ziteng Wei; Qiang He; Feifei Chen; Ranjie Duan; Xiaodan Li; Bin Li; YueFeng Chen; Hui Xue; Hai Jin; Yun Yang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Class-specific model derivation; Vision Transformer; structured pruning; edge intelligence; self-supervised; semi-supervised; and supervised representation lea…
5348	Weight Space Representation Learning on Diverse NeRF Architectures Authors: Francesco Ballerini; Pierluigi Zama Ramirez; Luigi Di Stefano; Samuele Salti Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: weight space learning; representation learning; metanetworks; graph metanetworks; neural fields; neural radiance fields; NeRF; implicit neural representations;…
5349	Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning Authors: Gabriel Y. Arteaga; Marius Aasan; Rwiddhi Chakraborty; Martine Hjelkrem-Tan; Thalles Silva; Michael Kampffmeyer; Adín Ramírez Rivera Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Self-Supervised Learning; Representation Learning; Computer Vision; self-supervised; semi-supervised; and supervised representation learning
5350	sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals Authors: Weixuan Yuan; Zengrui Jin; Yichen Wang; Donglin Xie; Ziyi Ye; Chao Zhang; Xuesong Chen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Contrastive Learning; Physiological Signal; Sleep Medicine; self-supervised; semi-supervised; and supervised representation learning
5351	t-SNE Exaggerates Clusters, Provably Authors: Noah Bergam; Szymon Snoeck; Nakul Verma Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: nonlinear dimension reduction; data visualization; t-SNE; self-supervised; semi-supervised; and supervised representation learning