2025 ICLR 中稿论文分布与清单 | blog

2025 ICLR 中稿论文分布与清单

• 状态：available
• 官方入口：https://openreview.net/group?id=ICLR.cc/2025/Conference
• 备注：OpenReview accepted submissions available.
• 纳入论文数：3703

Best / Outstanding Papers

当前官方数据源中没有识别到。

Highlight / Spotlight / Oral Papers

Type	Title	Authors
Oral	A Computational Framework for Modeling Emergence of Color Vision in the Human Brain	Atsunobu Kotani; Ren Ng
Oral	A Decade's Battle on Dataset Bias: Are We There Yet?	Zhuang Liu; Kaiming He
Oral	A Probabilistic Perspective on Unlearning and Alignment for Large Language Models	Yan Scholten; Stephan Günnemann; Leo Schwinn
Oral	A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules	Shih-Hsin Wang; Yuhao Huang; Justin M. Baker; Yuan-En Sun; Qi Tang; Bao Wang
Oral	AFlow: Automating Agentic Workflow Generation	Jiayi Zhang; Jinyu Xiang; Zhaoyang Yu; Fengwei Teng; Xiong-Hui Chen; Jiaqi Chen; Mingchen Zhuge; Xin Cheng; Sirui Hong; Jinlin Wang; Bingnan Zheng; Bang Liu; Y…
Oral	AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text	Ximing Lu; Melanie Sclar; Skyler Hallinan; Niloofar Mireshghallah; Jiacheng Liu; Seungju Han; Allyson Ettinger; Liwei Jiang; Khyathi Chandu; Nouha Dziri; Yejin…
Oral	Accelerated training through iterative gradient propagation along the residual path	Erwan Fagnou; Paul Caillon; Blaise Delattre; Alexandre Allauzen
Oral	Advantage Alignment Algorithms	Juan Agustin Duque; Milad Aghajohari; Tim Cooijmans; razvan ciuca; Tianyu Zhang; Gauthier Gidel; Aaron Courville
Oral	AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models	Junfeng Fang; Houcheng Jiang; Kun Wang; Yunshan Ma; Jie Shi; Xiang Wang; Xiangnan He; Tat-Seng Chua
Oral	Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series	Byoungwoo Park; Hyungi Lee; Juho Lee
Oral	Artificial Kuramoto Oscillatory Neurons	Takeru Miyato; Sindy Löwe; Andreas Geiger; Max Welling
Oral	Attention as a Hypernetwork	Simon Schug; Seijin Kobayashi; Yassir Akram; Joao Sacramento; Razvan Pascanu
Oral	BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models	Yu Feng; Ben Zhou; Weidong Lin; Dan Roth
Oral	Backtracking Improves Generation Safety	Yiming Zhang; Jianfeng Chi; Hailey Nguyen; Kartikeya Upasani; Daniel M. Bikel; Jason E Weston; Eric Michael Smith
Oral	BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions	Terry Yue Zhuo; Vu Minh Chien; Jenny Chim; Han Hu; Wenhao Yu; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; C…
Oral	Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models	Marianne Arriola; Aaron Gokaslan; Justin T Chiu; Zhihan Yang; Zhixuan Qi; Jiaqi Han; Subham Sekhar Sahoo; Volodymyr Kuleshov
Oral	Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation	Tiansheng Huang; Sihao Hu; Fatih Ilhan; Selim Furkan Tekin; Ling Liu
Oral	Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration	Chen Jiang; Jiahui An; Yating Liu; Ni Ji
Oral	CAX: Cellular Automata Accelerated in JAX	Maxence Faldor; Antoine Cully
Oral	Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model	Siyu Chen; Beining Wu; Miao Lu; Zhuoran Yang; Tianhao Wang
Oral	Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning	Chongyi Zheng; Jens Tuyls; Joanne Peng; Benjamin Eysenbach
Oral	Capturing the Temporal Dependence of Training Data Influence	Jiachen T. Wang; Dawn Song; James Zou; Prateek Mittal; Ruoxi Jia
Oral	ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding	Zhengzhuo Xu; Bowen Qu; Yiyan Qi; SiNan Du; Chengjin Xu; Chun Yuan; Jian Guo
Oral	Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates	Xiaosen Zheng; Tianyu Pang; Chao Du; Qian Liu; Jing Jiang; Min Lin
Oral	Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games	Yanzheng Chen; Jun Yu
Oral	Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection	Ziqing Fan; Siyuan Du; Shengchao Hu; Pingjie Wang; Li Shen; Ya Zhang; Dacheng Tao; Yanfeng Wang
Oral	Comparing noisy neural population dynamics using optimal transport distances	Amin Nejatbakhsh; Victor Geadah; Alex H Williams; David Lipshutz
Oral	Composing Unbalanced Flows for Flexible Docking and Relaxation	Gabriele Corso; Vignesh Ram Somnath; Noah Getz; Regina Barzilay; Tommi Jaakkola; Andreas Krause
Oral	Compositional Entailment Learning for Hyperbolic Vision-Language Models	Avik Pal; Max van Spengler; Guido Maria D'Amely di Melendugno; Alessandro Flaborea; Fabio Galasso; Pascal Mettes
Oral	Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics	Runzhe Wu; Ayush Sekhari; Akshay Krishnamurthy; Wen Sun
Oral	Consistency Checks for Language Model Forecasters	Daniel Paleka; Abhimanyu Pallavi Sudhir; Alejandro Alvarez; Vineeth Bhat; Adam Shen; Evan Wang; Florian Tramèr
Oral	Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance	Sachin Goyal; Christina Baek; J Zico Kolter; Aditi Raghunathan
Oral	Copyright-Protected Language Generation via Adaptive Model Fusion	Javier Abad; Konstantin Donhauser; Francesco Pinto; Fanny Yang
Oral	Cross-Entropy Is All You Need To Invert the Data Generating Process	Patrik Reizinger; Alice Bizeul; Attila Juhos; Julia E Vogt; Randall Balestriero; Wieland Brendel; David Klindt
Oral	Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model	Han Lin; Jaemin Cho; Abhay Zala; Mohit Bansal
Oral	Cut Your Losses in Large-Vocabulary Language Models	Erik Wijmans; Brody Huval; Alexander Hertzberg; Vladlen Koltun; Philipp Kraehenbuehl
Oral	Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models	Andy K Zhang; Neil Perry; Riya Dulepet; Joey Ji; Celeste Menders; Justin W Lin; Eliot Jones; Gashon Hussein; Samantha Liu; Donovan Julian Jasper; Pura Peetatha…
Oral	CyberHost: A One-stage Diffusion Framework for Audio-driven Talking Body Generation	Gaojie Lin; Jianwen Jiang; Chao Liang; Tianyun Zhong; Jiaqi Yang; Zerong Zheng; Yanbo Zheng
Oral	DEPT: Decoupled Embeddings for Pre-training Language Models	Alex Iacob; Lorenzo Sani; Meghdad Kurmanji; William F. Shen; Xinchi Qiu; Dongqi Cai; Yan Gao; Nicholas Donald Lane
Oral	DSPO: Direct Score Preference Optimization for Diffusion Model Alignment	Huaisheng Zhu; Teng Xiao; Vasant G Honavar
Oral	DarkBench: Benchmarking Dark Patterns in Large Language Models	Esben Kran; Hieu Minh Nguyen; Akash Kundu; Sami Jawhar; Jinsuk Park; Mateusz Maria Jurewicz
Oral	Data Scaling Laws in Imitation Learning for Robotic Manipulation	Fanqi Lin; Yingdong Hu; Pingyue Sheng; Chuan Wen; Jiacheng You; Yang Gao
Oral	Data Selection via Optimal Control for Language Models	Yuxian Gu; Li Dong; Hongning Wang; Yaru Hao; Qingxiu Dong; Furu Wei; Minlie Huang
Oral	Data Shapley in One Training Run	Jiachen T. Wang; Prateek Mittal; Dawn Song; Ruoxi Jia
Oral	DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL	Mathias Jackermeier; Alessandro Abate
Oral	Differential Transformer	Tianzhu Ye; Li Dong; Yuqing Xia; Yutao Sun; Yi Zhu; Gao Huang; Furu Wei
Oral	Diffusion-Based Planning for Autonomous Driving with Flexible Guidance	Yinan Zheng; Ruiming Liang; Kexin ZHENG; Jinliang Zheng; Liyuan Mao; Jianxiong Li; Weihao Gu; Rui Ai; Shengbo Eben Li; Xianyuan Zhan; Jingjing Liu
Oral	Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models	Javier Ferrando; Oscar Balcells Obeso; Senthooran Rajamanoharan; Neel Nanda
Oral	Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs	Siyan Zhao; Mingyi Hong; Yang Liu; Devamanyu Hazarika; Kaixiang Lin
Oral	Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference under Ambiguities	Zheyuan Zhang; Fengyuan Hu; Jayjun Lee; Freda Shi; Parisa Kordjamshidi; Joyce Chai; Ziqiao Ma
Oral	Do as We Do, Not as You Think: the Conformity of Large Language Models	Zhiyuan Weng; Guikun Chen; Wenguan Wang
Oral	Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping	Yue Yang; Shuibo Zhang; Kaipeng Zhang; Yi Bin; Yu Wang; Ping Luo; Wenqi Shao
Oral	ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials	Pin Chen; Zexin Xu; Qing Mo; Hongjin Zhong; Fengyang Xu; Yutong Lu
Oral	EmbodiedSAM: Online Segment Any 3D Thing in Real Time	Xiuwei Xu; Huangxing Chen; Linqing Zhao; Ziwei Wang; Jie Zhou; Jiwen Lu
Oral	Emergence of meta-stable clustering in mean-field transformer models	Giuseppe Bruno; Federico Pasqualotto; Andrea Agazzi
Oral	Energy-based Backdoor Defense Against Federated Graph Learning	Guancheng Wan; Zitong Shi; Wenke Huang; Guibin Zhang; Dacheng Tao; Mang Ye
Oral	Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality	Sungyoon Kim; Aaron Mishkin; Mert Pilanci
Oral	Faster Cascades via Speculative Decoding	Harikrishna Narasimhan; Wittawat Jitkrittum; Ankit Singh Rawat; Seungyeon Kim; Neha Gupta; Aditya Krishna Menon; Sanjiv Kumar
Oral	Feedback Favors the Generalization of Neural ODEs	Jindou Jia; Zihan Yang; Meng Wang; Kexin Guo; Jianfei Yang; Xiang Yu; Lei Guo
Oral	Feedback Schrödinger Bridge Matching	Panagiotis Theodoropoulos; Nikolaos Komianos; Vincent Pacelli; Guan-Horng Liu; Evangelos Theodorou
Oral	Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning	Hyun Kyu Lee; Sung Whan Yoon
Oral	FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference	Xunhao Lai; Jianqiao Lu; Yao Luo; Yiyuan Ma; Xun Zhou
Oral	Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective	Neta Shaul; Itai Gat; Marton Havasi; Daniel Severo; Anuroop Sriram; Peter Holderrieth; Brian Karrer; Yaron Lipman; Ricky T. Q. Chen
Oral	From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions	Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Jun Xu; Ji-Rong Wen
Oral	GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation	Ziwei Yang; Zheng Chen; Xin Liu; Rikuto Kotoge; Peng Chen; Yasuko Matsubara; Yasushi Sakurai; Jimeng Sun
Oral	Generator Matching: Generative modeling with arbitrary Markov processes	Peter Holderrieth; Marton Havasi; Jason Yim; Neta Shaul; Itai Gat; Tommi Jaakkola; Brian Karrer; Ricky T. Q. Chen; Yaron Lipman
Oral	Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces	Saket Tiwari; Omer Gottesman; George Konidaris
Oral	Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects	Tai Hoang; Huy Le; Philipp Becker; Vien Anh Ngo; Gerhard Neumann
Oral	Global Convergence in Neural ODEs: Impact of Activation Functions	Tianxiang Gao; Siyuan Sun; Hailiang Liu; Hongyang Gao
Oral	GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling	Honghui Wang; Shiji Song; Gao Huang
Oral	HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models	Qiushi Huang; Tom Ko; Zhan Zhuang; Lilian Tang; Yu Zhang
Oral	High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation	Ziye Wang; Yiran Qin; Lin Zeng; Ruimao Zhang
Oral	Homomorphism Expressivity of Spectral Invariant Graph Neural Networks	Jingchu Gai; Yiheng Du; Bohang Zhang; Haggai Maron; Liwei Wang
Oral	How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning	Yao Tong; Jiayuan Ye; Sajjad Zarifzadeh; Reza Shokri
Oral	Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent	Sayan Banerjee; Krishna Balasubramanian; PROMIT GHOSAL
Oral	Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching	Zijing Ou; Mingtian Zhang; Andi Zhang; Tim Z. Xiao; Yingzhen Li; David Barber
Oral	Inference Scaling for Long-Context Retrieval Augmented Generation	Zhenrui Yue; Honglei Zhuang; Aijun Bai; Kai Hui; Rolf Jagerman; Hansi Zeng; Zhen Qin; Dong Wang; Xuanhui Wang; Michael Bendersky
Oral	Influence Functions for Scalable Data Attribution in Diffusion Models	Bruno Kacper Mlodozeniec; Runa Eschenhagen; Juhan Bae; Alexander Immer; David Krueger; Richard E. Turner
Oral	Instant Policy: In-Context Imitation Learning via Graph Diffusion	Vitalis Vosylius; Edward Johns
Oral	Interpreting Emergent Planning in Model-Free Reinforcement Learning	Thomas Bush; Stephen Chung; Usman Anwar; Adrià Garriga-Alonso; David Krueger
Oral	Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning	Yuheng Zhang; Dian Yu; Baolin Peng; Linfeng Song; Ye Tian; Mingyue Huo; Nan Jiang; Haitao Mi; Dong Yu
Oral	Joint Graph Rewiring and Feature Denoising via Spectral Resonance	Jonas Linkerhägner; Cheng Shi; Ivan Dokmanić
Oral	Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment	Gregor Bachmann; Sotiris Anagnostidis; Albert Pumarola; Markos Georgopoulos; Artsiom Sanakoyeu; Yuming Du; Edgar Schönfeld; Ali Thabet; Jonas K Kohler
Oral	KAN: Kolmogorov–Arnold Networks	Ziming Liu; Yixuan Wang; Sachin Vaidya; Fabian Ruehle; James Halverson; Marin Soljacic; Thomas Y. Hou; Max Tegmark
Oral	Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks	Michael Matthews; Michael Beukman; Chris Lu; Jakob Nicolaus Foerster
Oral	Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding	Xin Gu; Yaojie Shen; Chenxi Luo; Tiejian Luo; Yan Huang; Yuewei Lin; Heng Fan; Libo Zhang
Oral	Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition	Jiyeon Kim; Hyunji Lee; Hyowon Cho; Joel Jang; Hyeonbin Hwang; Seungpil Won; Youbin Ahn; Dohaeng Lee; Minjoon Seo
Oral	LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior	Hanyu Wang; Saksham Suri; Yixuan Ren; Hao Chen; Abhinav Shrivastava
Oral	LLM-SR: Scientific Equation Discovery via Programming with Large Language Models	Parshin Shojaee; Kazem Meidani; Shashank Gupta; Amir Barati Farimani; Chandan K. Reddy
Oral	LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias	Haian Jin; Hanwen Jiang; Hao Tan; Kai Zhang; Sai Bi; Tianyuan Zhang; Fujun Luan; Noah Snavely; Zexiang Xu
Oral	LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement	Zijie Geng; Jie Wang; Ziyan Liu; Siyuan Xu; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye HAO; Feng Wu
Oral	Language Representations Can be What Recommenders Need: Findings and Potentials	Leheng Sheng; An Zhang; Yi Zhang; Yuxin Chen; Xiang Wang; Tat-Seng Chua
Oral	Latent Bayesian Optimization via Autoregressive Normalizing Flows	Seunghun Lee; Jinyoung Park; Jaewon Chu; Minseo Yoon; Hyunwoo J. Kim
Oral	Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks	Mario Lino Valencia; Tobias Pfaff; Nils Thuerey
Oral	Learning Dynamics of LLM Finetuning	Yi Ren; Danica J. Sutherland
Oral	Learning Randomized Algorithms with Transformers	Johannes von Oswald; Seijin Kobayashi; Yassir Akram; Angelika Steger
Oral	Learning and aligning single-neuron invariance manifolds in visual cortex	Mohammad Bashiri; Luca Baroni; Ján Antolík; Fabian H. Sinz
Oral	Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport	Zhenyi Zhang; Tiejun Li; Peijie Zhou
Oral	Learning to Discover Regulatory Elements for Gene Expression Prediction	Xingyu Su; Haiyang Yu; Degui Zhi; Shuiwang Ji
Oral	Learning to Discretize Denoising Diffusion ODEs	Vinh Tong; Dung Trung Hoang; Anji Liu; Guy Van den Broeck; Mathias Niepert
Oral	Learning to Search from Demonstration Sequences	Dixant Mittal; Liwei Kang; Wee Sun Lee
Oral	Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data	Florian E. Dorner; Vivian Yvonne Nastl; Moritz Hardt
Oral	Linear Representations of Political Perspective Emerge in Large Language Models	Junsol Kim; James Evans; Aaron Schein
Oral	LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization	Jui-Nan Yen; Si Si; Zhao Meng; Felix Yu; Sai Surya Duvvuri; Inderjit S Dhillon; Cho-Jui Hsieh; Sanjiv Kumar
Oral	Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency	Jianwen Jiang; Chao Liang; Jiaqi Yang; Gaojie Lin; Tianyun Zhong; Yanbo Zheng
Oral	MAP: Multi-Human-Value Alignment Palette	Xinran Wang; Qi Le; Ammar Ahmed; Enmao Diao; Yi Zhou; Nathalie Baracaldo; Jie Ding; Ali Anwar
Oral	MIND over Body: Adaptive Thinking using Dynamic Computation	Mrinal Mathur; Barak A. Pearlmutter; Sergey M. Plis
Oral	MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering	Jun Shern Chan; Neil Chowdhury; Oliver Jaffe; James Aung; Dane Sherburn; Evan Mays; Giulio Starace; Kevin Liu; Leon Maksin; Tejal Patwardhan; Aleksander Madry;…
Oral	MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models	Peng Xia; Siwei Han; Shi Qiu; Yiyang Zhou; Zhaoyang Wang; Wenhao Zheng; Zhaorun Chen; Chenhang Cui; Mingyu Ding; Linjie Li; Lijuan Wang; Huaxiu Yao
Oral	MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions	Jian Wu; Linyi Yang; Dongyuan Li; Yuliang Ji; Manabu Okumura; Yue Zhang
Oral	MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection	Zhuoxiao Chen; Junjie Meng; Mahsa Baktashmotlagh; Yonggang Zhang; Zi Huang; Yadan Luo
Oral	MaestroMotif: Skill Design from Artificial Intelligence Feedback	Martin Klissarov; Mikael Henaff; Roberta Raileanu; Shagun Sodhani; Pascal Vincent; Amy Zhang; Pierre-Luc Bacon; Doina Precup; Marlos C. Machado; Pierluca D'Oro
Oral	Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse	Maojia Song; Shang Hong Sim; Rishabh Bhardwaj; Hai Leong Chieu; Navonil Majumder; Soujanya Poria
Oral	Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models	Yuda Song; Hanlin Zhang; Carson Eisenach; Sham M. Kakade; Dean Foster; Udaya Ghai
Oral	MoDeGPT: Modular Decomposition for Large Language Model Compression	Chi-Heng Lin; Shangqian Gao; James Seale Smith; Abhishek Patel; Shikhar Tuli; Yilin Shen; Hongxia Jin; Yen-Chang Hsu
Oral	MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts	Peng Jin; Bo Zhu; Li Yuan; Shuicheng YAN
Oral	More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness	Aaron Jiaxun Li; Satyapriya Krishna; Himabindu Lakkaraju
Oral	Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents	Boyu Gou; Ruohan Wang; Boyuan Zheng; Yanan Xie; Cheng Chang; Yiheng Shu; Huan Sun; Yu Su
Oral	NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields	Hanqiao Ye; Yuzhou Liu; Yangdong Liu; Shuhan Shen
Oral	No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images	Botao Ye; Sifei Liu; Haofei Xu; Xueting Li; Marc Pollefeys; Ming-Hsuan Yang; Songyou Peng
Oral	OLMoE: Open Mixture-of-Experts Language Models	Niklas Muennighoff; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Jacob Morrison; Sewon Min; Weijia Shi; Evan Pete Walsh; Oyvind Tafjord; Nathan Lambert; Yuling Gu;…
Oral	On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding	Dehong Xu; Ruiqi Gao; Wenhao Zhang; Xue-Xin Wei; Ying Nian Wu
Oral	On Scaling Up 3D Gaussian Splatting Training	Hexu Zhao; Haoyang Weng; Daohan Lu; Ang Li; Jinyang Li; Aurojit Panda; Saining Xie
Oral	On the Benefits of Memory for Modeling Time-Dependent PDEs	Ricardo Buitrago; Tanya Marwah; Albert Gu; Andrej Risteski
Oral	On the Hölder Stability of Multiset and Graph Neural Networks	Yair Davidson; Nadav Dym
Oral	On the Identification of Temporal Causal Representation with Instantaneous Dependence	Zijian Li; Yifan Shen; Kaitao Zheng; Ruichu Cai; Xiangchen Song; Mingming Gong; Guangyi Chen; Kun Zhang
Oral	On the Role of Attention Heads in Large Language Model Safety	Zhenhong Zhou; Haiyang Yu; Xinghua Zhang; Rongwu Xu; Fei Huang; Kun Wang; Yang Liu; Junfeng Fang; Yongbin Li
Oral	One Step Diffusion via Shortcut Models	Kevin Frans; Danijar Hafner; Sergey Levine; Pieter Abbeel
Oral	Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation	Yongxian Wei; Zixuan Hu; Li Shen; Zhenyi Wang; Chun Yuan; Dacheng Tao
Oral	Open-World Reinforcement Learning over Long Short-Term Imagination	Jiajian Li; Qi Wang; Yunbo Wang; Xin Jin; Yang Li; Wenjun Zeng; Xiaokang Yang
Oral	Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation	Mohamed El Amine Boudjoghra; Angela Dai; Jean Lahoud; Hisham Cholakkal; Rao Muhammad Anwer; Salman Khan; Fahad Shahbaz Khan
Oral	OptionZero: Planning with Learned Options	Po-Wei Huang; Pei-Chiun Peng; Hung Guei; Ti-Rong Wu
Oral	Oscillatory State-Space Models	T. Konstantin Rusch; Daniela Rus
Oral	PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration	Yuxuan Sun; Yunlong Zhang; Yixuan Si; Chenglu Zhu; Kai Zhang; Zhongyi Shui; Jingxiong Li; Xuan Gong; XINHENG LYU; Tao Lin; Lin Yang
Oral	PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding	Wei Chow; Jiageng Mao; Boyi Li; Daniel Seita; Vitor Campagnolo Guizilini; Yue Wang
Oral	Population Transformer: Learning Population-level Representations of Neural Activity	Geeling Chau; Christopher Wang; Sabera J Talukder; Vighnesh Subramaniam; Saraswati Soedarmadji; Yisong Yue; Boris Katz; Andrei Barbu
Oral	Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation	Yang Tian; Sizhe Yang; Jia Zeng; Ping Wang; Dahua Lin; Hao Dong; Jiangmiao Pang
Oral	Prioritized Generative Replay	Renhao Wang; Kevin Frans; Pieter Abbeel; Sergey Levine; Alexei A Efros
Oral	Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution	Cuong C. Nguyen; Thanh-Toan Do; Gustavo Carneiro
Oral	Problem-Parameter-Free Federated Learning	Wenjing Yan; Kai Zhang; Xiaolu Wang; Xuanyu Cao
Oral	Progressive Compression with Universally Quantized Diffusion Models	Yibo Yang; Justus Will; Stephan Mandt
Oral	Progressive distillation induces an implicit curriculum	Abhishek Panigrahi; Bingbin Liu; Sadhika Malladi; Andrej Risteski; Surbhi Goel
Oral	ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids	Hannes Stark; Bowen Jing; Tomas Geffner; Jason Yim; Tommi Jaakkola; Arash Vahdat; Karsten Kreis
Oral	Proteina: Scaling Flow-based Protein Structure Generative Models	Tomas Geffner; Kieran Didi; Zuobai Zhang; Danny Reidenbach; Zhonglin Cao; Jason Yim; Mario Geiger; Christian Dallago; Emine Kucukbenli; Arash Vahdat; Karsten K…
Oral	Proxy Denoising for Source-Free Domain Adaptation	Song Tang; Wenxin Su; Yan Gan; Mao Ye; Jianwei Dr. Zhang; Xiatian Zhu
Oral	RB-Modulation: Training-Free Stylization using Reference-Based Modulation	Litu Rout; Yujia Chen; Nataniel Ruiz; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu
Oral	REEF: Representation Encoding Fingerprints for Large Language Models	Jie Zhang; Dongrui Liu; Chen Qian; Linfeng Zhang; Yong Liu; Yu Qiao; Jing Shao
Oral	REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments	Kaustubh Sridhar; Souradeep Dutta; Dinesh Jayaraman; Insup Lee
Oral	RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style	Yantao Liu; Zijun Yao; Rui Min; Yixin Cao; Lei Hou; Juanzi Li
Oral	RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything	Shilin Xu; Haobo Yuan; Qingyu Shi; Lu Qi; Jingbo Wang; Yibo Yang; Yining Li; Kai Chen; Yunhai Tong; Bernard Ghanem; Xiangtai Li; Ming-Hsuan Yang
Oral	ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement	XIANGYU PENG; Congying Xia; Xinyi Yang; Caiming Xiong; Chien-Sheng Wu; Chen Xing
Oral	Reasoning Elicitation in Language Models via Counterfactual Feedback	Alihan Hüyük; Xinnuo Xu; Jacqueline R. M. A. Maasch; Aditya V. Nori; Javier Gonzalez
Oral	Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think	Sihyun Yu; Sangkyung Kwak; Huiwon Jang; Jongheon Jeong; Jonathan Huang; Jinwoo Shin; Saining Xie
Oral	Residual Deep Gaussian Processes on Manifolds	Kacper Wyrwal; Andreas Krause; Viacheslav Borovitskiy
Oral	Restructuring Vector Quantization with the Rotation Trick	Christopher Fifty; Ronald Guenther Junkins; Dennis Duan; Aniketh Iyengar; Jerry Weihong Liu; Ehsan Amid; Sebastian Thrun; Christopher Re
Oral	Rethinking Reward Modeling in Preference-based Large Language Model Alignment	Hao Sun; Yunyi Shen; Jean-Francois Ton
Oral	Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation	Chenbin Zhang; Zhiqiang Hu; Jiang Chuchu; Wen Chen; JIE XU; Shaoting Zhang
Oral	Retrieval Head Mechanistically Explains Long-Context Factuality	Wenhao Wu; Yizhong Wang; Guangxuan Xiao; Hao Peng; Yao Fu
Oral	Robustness Inspired Graph Backdoor Defense	Zhiwei Zhang; Minhua Lin; Junjie Xu; Zongyu Wu; Enyan Dai; Suhang Wang
Oral	Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery	Xiao Han; Saima Absar; Lu Zhang; Shuhan Yuan
Oral	SAM 2: Segment Anything in Images and Videos	Nikhila Ravi; Valentin Gabeur; Yuan-Ting Hu; Ronghang Hu; Chaitanya Ryali; Tengyu Ma; Haitham Khedr; Roman Rädle; Chloe Rolland; Laura Gustafson; Eric Mintun;…
Oral	SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers	Enze Xie; Junsong Chen; Junyu Chen; Han Cai; Haotian Tang; Yujun Lin; Zhekai Zhang; Muyang Li; Ligeng Zhu; Yao Lu; Song Han
Oral	SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning	Yichen Wu; Hongming Piao; Long-Kai Huang; Renzhen Wang; Wanhua Li; Hanspeter Pfister; Deyu Meng; Kede Ma; Ying Wei
Oral	STAR: Synthesis of Tailored Architectures	Armin W Thomas; Rom Parnichkun; Alexander Amini; Stefano Massaroli; Michael Poli
Oral	Safety Alignment Should be Made More Than Just a Few Tokens Deep	Xiangyu Qi; Ashwinee Panda; Kaifeng Lyu; Xiao Ma; Subhrajit Roy; Ahmad Beirami; Prateek Mittal; Peter Henderson
Oral	Scaling In-the-Wild Training for Diffusion-based Illumination Harmonization and Editing by Imposing Consistent Light Transport	Lvmin Zhang; Anyi Rao; Maneesh Agrawala
Oral	Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning	Charlie Victor Snell; Jaehoon Lee; Kelvin Xu; Aviral Kumar
Oral	Scaling Laws for Precision	Tanishq Kumar; Zachary Ankner; Benjamin Frederick Spector; Blake Bordelon; Niklas Muennighoff; Mansheej Paul; Cengiz Pehlevan; Christopher Re; Aditi Raghunathan
Oral	Scaling and evaluating sparse autoencoders	Leo Gao; Tom Dupre la Tour; Henk Tillman; Gabriel Goh; Rajan Troll; Alec Radford; Ilya Sutskever; Jan Leike; Jeffrey Wu
Oral	Second-Order Min-Max Optimization with Lazy Hessians	Lesi Chen; Chengchang Liu; Jingzhao Zhang
Oral	Self-Improvement in Language Models: The Sharpening Mechanism	Audrey Huang; Adam Block; Dylan J Foster; Dhruv Rohatgi; Cyril Zhang; Max Simchowitz; Jordan T. Ash; Akshay Krishnamurthy
Oral	ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design	Keir Adams; Kento Abeywardane; Jenna Fromer; Connor W. Coley
Oral	Simplifying, Stabilizing and Scaling Continuous-time Consistency Models	Cheng Lu; Yang Song
Oral	Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models	Samuel Marks; Can Rager; Eric J Michaud; Yonatan Belinkov; David Bau; Aaron Mueller
Oral	Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows	Fangyu Lei; Jixuan Chen; Yuxiao Ye; Ruisheng Cao; Dongchan Shin; Hongjin SU; ZHAOQING SUO; Hongcheng Gao; Wenjing Hu; Pengcheng Yin; Victor Zhong; Caiming Xion…
Oral	Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment	Dongyoung Kim; Kimin Lee; Jinwoo Shin; Jaehyung Kim
Oral	Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization	Zhitong Xu; Haitao Wang; Jeff M. Phillips; Shandian Zhe
Oral	Steering Protein Family Design through Profile Bayesian Flow	Jingjing Gong; Yu Pei; Siyu Long; Yuxuan Song; Zhe Zhang; Wenhao Huang; Ziyao Cao; Shuyi Zhang; Hao Zhou; Wei-Ying Ma
Oral	Subgraph Federated Learning for Local Generalization	Sungwon Kim; Yoonho Lee; Yunhak Oh; Namkyeong Lee; Sukwon Yun; Junseok Lee; Sein Kim; Carl Yang; Chanyoung Park
Oral	SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups	Yongxing Zhang; Donglin Yang; Renjie Liao
Oral	Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo	João Loula; Benjamin LeBrun; Li Du; Ben Lipkin; Clemente Pasti; Gabriel Grand; Tianyu Liu; Yahya Emara; Marjorie Freedman; Jason Eisner; Ryan Cotterell; Vikash…
Oral	Synthetic continued pretraining	Zitong Yang; Neil Band; Shuangping Li; Emmanuel Candes; Tatsunori Hashimoto
Oral	TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation	Haiyang Liu; Xingchao Yang; Tomoya Akiyama; Yuantian Huang; Qiaoge Li; Shigeru Kuriyama; Takafumi Taketomi
Oral	TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes	Minghao Guo; Bohan Wang; Kaiming He; Wojciech Matusik
Oral	The Complexity of Two-Team Polymatrix Games with Independent Adversaries	Alexandros Hollender; Gilbert Maystre; Sai Ganesh Nagarajan
Oral	The Geometry of Categorical and Hierarchical Concepts in Large Language Models	Kiho Park; Yo Joong Choe; Yibo Jiang; Victor Veitch
Oral	The Hidden Cost of Waiting for Accurate Predictions	Ali Shirali; Ariel D. Procaccia; Rediet Abebe
Oral	Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity	Site Bai; Brian Bullins
Oral	TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis	Shiyu Wang; Jiawei LI; Xiaoming Shi; Zhou Ye; Baichuan Mo; Wenze Lin; Ju Shengtong; Zhixuan Chu; Ming Jin
Oral	TopoLM: brain-like spatio-functional organization in a topographic language model	Neil Rathi; Johannes Mehrer; Badr AlKhamissi; Taha Osama A Binhuraib; Nicholas Blauch; Martin Schrimpf
Oral	Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity	Yam Eitan; Yoav Gelberg; Guy Bar-Shalom; Fabrizio Frasca; Michael M. Bronstein; Haggai Maron
Oral	Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment	Huayu Chen; Hang Su; Peize Sun; Jun Zhu
Oral	Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning	Jingyang Li; Jiachun Pan; Vincent Y. F. Tan; Kim-chuan Toh; Pan Zhou
Oral	Towards a Complete Logical Framework for GNN Expressiveness	Tuo Xu
Oral	Tractable Multi-Agent Reinforcement Learning through Behavioral Economics	Eric Mazumdar; Kishan Panaganti; Laixi Shi
Oral	Training Language Models to Self-Correct via Reinforcement Learning	Aviral Kumar; Vincent Zhuang; Rishabh Agarwal; Yi Su; John D Co-Reyes; Avi Singh; Kate Baumli; Shariq Iqbal; Colton Bishop; Rebecca Roelofs; Lei M Zhang; Kay M…
Oral	Training on the Test Task Confounds Evaluation and Emergence	Ricardo Dominguez-Olmedo; Florian E. Dorner; Moritz Hardt
Oral	Transformers Provably Solve Parity Efficiently with Chain of Thought	Juno Kim; Taiji Suzuki
Oral	Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model	Chunting Zhou; LILI YU; Arun Babu; Kushal Tirumala; Michihiro Yasunaga; Leonid Shamis; Jacob Kahn; Xuezhe Ma; Luke Zettlemoyer; Omer Levy
Oral	Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement	Jaehun Jung; Faeze Brahman; Yejin Choi
Oral	Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs	Nguyen Nhat Minh; Andrew Baker; Clement Neo; Allen G Roush; Andreas Kirsch; Ravid Shwartz-Ziv
Oral	Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models	Simon Schrodi; David T. Hoffmann; Max Argus; Volker Fischer; Thomas Brox
Oral	Unlearning-based Neural Interpretations	Ching Lam Choi; Alexandre Duplessis; Serge Belongie
Oral	Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues	Riccardo Grazzi; Julien Siems; Arber Zela; Jörg K.H. Franke; Frank Hutter; Massimiliano Pontil
Oral	Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning	Gangwei Jiang; Caigao JIANG; Zhaoyi Li; Siqiao Xue; JUN ZHOU; Linqi Song; Defu Lian; Ying Wei
Oral	Variational Diffusion Posterior Sampling with Midpoint Guidance	Badr MOUFAD; Yazid Janati; Lisa Bedin; Alain Oliviero Durmus; randal douc; Eric Moulines; Jimmy Olsson
Oral	What should a neuron aim for? Designing local objective functions based on information theory	Andreas Christian Schneider; Valentin Neuhaus; David Alexander Ehrlich; Abdullah Makkeh; Alexander S Ecker; Viola Priesemann; Michael Wibral
Oral	When Selection Meets Intervention: Additional Complexities in Causal Discovery	Haoyue Dai; Ignavier Ng; Jianle Sun; Zeyu Tang; Gongxu Luo; Xinshuai Dong; Peter Spirtes; Kun Zhang
Oral	When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers	Hongkang Li; Yihua Zhang; Shuai Zhang; Pin-Yu Chen; Sijia Liu; Meng Wang
Oral	Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse	Arthur Jacot; Peter Súkeník; Zihan Wang; Marco Mondelli
Oral	WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct	Haipeng Luo; Qingfeng Sun; Can Xu; Pu Zhao; Jian-Guang Lou; Chongyang Tao; Xiubo Geng; Qingwei Lin; Shifeng Chen; Yansong Tang; Dongmei Zhang
Oral	Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free	Ziyue Li; Tianyi Zhou
Oral	miniCTX: Neural Theorem Proving with (Long-)Contexts	Jiewen Hu; Thomas Zhu; Sean Welleck
Spotlight	$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning	Mintong Kang; Bo Li
Spotlight	3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation	Dewei Zhou; Ji Xie; Zongxin Yang; Yi Yang
Spotlight	4K4DGen: Panoramic 4D Generation at 4K Resolution	Renjie Li; Panwang Pan; Bangbang Yang; Dejia Xu; Shijie Zhou; Xuanyang Zhang; Zeming Li; Achuta Kadambi; Zhangyang Wang; Zhengzhong Tu; Zhiwen Fan
Spotlight	A CLIP-Powered Framework for Robust and Generalizable Data Selection	Suorong Yang; Peng Ye; Wanli Ouyang; Dongzhan Zhou; Furao Shen
Spotlight	A Geometric Framework for Understanding Memorization in Generative Models	Brendan Leigh Ross; Hamidreza Kamkari; Tongzi Wu; Rasa Hosseinzadeh; Zhaoyan Liu; George Stein; Jesse C. Cresswell; Gabriel Loaiza-Ganem
Spotlight	A Periodic Bayesian Flow for Material Generation	Hanlin Wu; Yuxuan Song; Jingjing Gong; Ziyao Cao; Yawen Ouyang; Jianbing Zhang; Hao Zhou; Wei-Ying Ma; Jingjing Liu
Spotlight	A Second-Order Perspective on Model Compositionality and Incremental Learning	Angelo Porrello; Lorenzo Bonicelli; Pietro Buzzega; Monica Millunzi; Simone Calderara; Rita Cucchiara
Spotlight	ADIFF: Explaining audio difference using natural language	Soham Deshmukh; Shuo Han; Rita Singh; Bhiksha Raj
Spotlight	AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories	Yi Zeng; Yu Yang; Andy Zhou; Jeffrey Ziwei Tan; Yuheng Tu; Yifan Mai; Kevin Klyman; Minzhou Pan; Ruoxi Jia; Dawn Song; Percy Liang; Bo Li
Spotlight	Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research	Michał Bortkiewicz; Władysław Pałucki; Vivek Myers; Tadeusz Dziarmaga; Tomasz Arczewski; Łukasz Kuciński; Benjamin Eysenbach
Spotlight	Active Task Disambiguation with LLMs	Kasia Kobalczyk; Nicolás Astorga; Tennison Liu; Mihaela van der Schaar
Spotlight	Adam Exploits $\ell_\infty$-geometry of Loss Landscape via Coordinate-wise Adaptivity	Shuo Xie; Mohamad Amin Mohamadi; Zhiyuan Li
Spotlight	Adaptive Batch Size for Privately Finding Second-Order Stationary Points	Daogao Liu; Kunal Talwar
Spotlight	Adaptive Gradient Clipping for Robust Federated Learning	Youssef Allouah; Rachid Guerraoui; Nirupam Gupta; Ahmed Jellouli; Geovani Rizk; John Stephan
Spotlight	Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control	Carles Domingo-Enrich; Michal Drozdzal; Brian Karrer; Ricky T. Q. Chen
Spotlight	Advantage-Guided Distillation for Preference Alignment in Small Language Models	Shiping Gao; Fanqi Wan; Jiajian Guo; Xiaojun Quan; Qifan Wang
Spotlight	Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI	Robert Hönig; Javier Rando; Nicholas Carlini; Florian Tramèr
Spotlight	AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials	Yiheng Xu; Dunjie Lu; Zhennan Shen; Junli Wang; Zekun Wang; Yuchen Mao; Caiming Xiong; Tao Yu
Spotlight	AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies	Jian Gao; Weidong Cao; Junyi Yang; Xuan Zhang
Spotlight	Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra	Roman Worschech; Bernd Rosenow
Spotlight	Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions	Sarah Wiegreffe; Oyvind Tafjord; Yonatan Belinkov; Hannaneh Hajishirzi; Ashish Sabharwal
Spotlight	Anti-Exposure Bias in Diffusion Models	Junyu Zhang; Daochang Liu; Eunbyung Park; Shichao Zhang; Chang Xu
Spotlight	Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding	Eric Lei; Hamed Hassani; Shirin Saeedi Bidokhti
Spotlight	Approximation algorithms for combinatorial optimization with predictions	Antonios Antoniadis; Marek Elias; Adam Polak; Moritz Venzin
Spotlight	Atlas Gaussians Diffusion for 3D Generation	Haitao Yang; Yuan Dong; Hanwen Jiang; Dejia Xu; Georgios Pavlakos; Qixing Huang
Spotlight	Attention with Markov: A Curious Case of Single-layer Transformers	Ashok Vardhan Makkuva; Marco Bondaschi; Adway Girish; Alliot Nagle; Martin Jaggi; Hyeji Kim; Michael Gastpar
Spotlight	AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations	Pei Zhou; Ruizhe Liu; Qian Luo; Fan Wang; Yibing Song; Yanchao Yang
Spotlight	AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs	Xiaogeng Liu; Peiran Li; G. Edward Suh; Yevgeniy Vorobeychik; Zhuoqing Mao; Somesh Jha; Patrick McDaniel; Huan Sun; Bo Li; Chaowei Xiao
Spotlight	BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval	Hongjin SU; Howard Yen; Mengzhou Xia; Weijia Shi; Niklas Muennighoff; Han-yu Wang; Liu Haisu; Quan Shi; Zachary S Siegel; Michael Tang; Ruoxi Sun; Jinsung Yoon…
Spotlight	Bayesian Experimental Design Via Contrastive Diffusions	Jacopo Iollo; Christophe Heinkelé; Pierre Alliez; Florence Forbes
Spotlight	Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences	Alan Nawzad Amin; Nate Gruver; Yilun Kuang; Yucen Lily Li; Hunter Elliott; Calvin McCarter; Aniruddh Raghu; Peyton Greenside; Andrew Gordon Wilson
Spotlight	Bayesian Optimization via Continual Variational Last Layer Training	Paul Brunzema; Mikkel Jordahn; John Willes; Sebastian Trimpe; Jasper Snoek; James Harrison
Spotlight	Benchmarking Predictive Coding Networks – Made Simple	Luca Pinchetti; Chang Qi; Oleh Lokshyn; Cornelius Emde; Amine M'Charrak; Mufeng Tang; Simon Frieder; Bayar Menzat; Gaspard Oliviers; Rafal Bogacz; Thomas Lukas…
Spotlight	Better Instruction-Following Through Minimum Bayes Risk	Ian Wu; Patrick Fernandes; Amanda Bertsch; Seungone Kim; Sina Khoshfetrat Pakazad; Graham Neubig
Spotlight	Better autoregressive regression with LLMs via regression-aware fine-tuning	Michal Lukasik; Zhao Meng; Harikrishna Narasimhan; Yin-Wen Chang; Aditya Krishna Menon; Felix Yu; Sanjiv Kumar
Spotlight	Beyond Next Token Prediction: Patch-Level Training for Large Language Models	Chenze Shao; Fandong Meng; Jie Zhou
Spotlight	Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks	Rui Hu; Yifan Zhang; Zhuoran Li; Longbo Huang
Spotlight	Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models	Wenxuan Zhang; Philip Torr; Mohamed Elhoseiny; Adel Bibi
Spotlight	Bilinear MLPs enable weight-based mechanistic interpretability	Michael T Pearce; Thomas Dooms; Alice Rigg; Jose Oramas; Lee Sharkey
Spotlight	Biologically Constrained Barrel Cortex Model Integrates Whisker Inputs and Replicates Key Brain Network Dynamics	Tianfang Zhu; Dongli Hu; Jiandong Zhou; Kai Du; Anan LI
Spotlight	BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics	Lukas Rauch; Raphael Schwinger; Moritz Wirth; René Heinrich; Denis Huseljic; Marek Herde; Jonas Lange; Stefan Kahl; Bernhard Sick; Sven Tomforde; Christoph Sch…
Spotlight	BlendRL: A Framework for Merging Symbolic and Neural Policy Learning	Hikaru Shindo; Quentin Delfosse; Devendra Singh Dhami; Kristian Kersting
Spotlight	BodyGen: Advancing Towards Efficient Embodiment Co-Design	Haofei Lu; Zhe Wu; Junliang Xing; Jianshu Li; Ruoyu Li; Zhe Li; Yuanchun Shi
Spotlight	Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions	Xiaoran Jiao; Weian Mao; Wengong Jin; Peiyuan Yang; Hao Chen; Chunhua Shen
Spotlight	Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors	Chen Ma; Xinjie Xu; Shuyu Cheng; Qi Xuan
Spotlight	Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation	Peiwen Sun; Sitong Cheng; Xiangtai Li; Zhen Ye; Huadai Liu; Honggang Zhang; Wei Xue; Yike Guo
Spotlight	Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space	Zhiliang Chen; Xinyuan Niu; Chuan-Sheng Foo; Bryan Kian Hsiang Low
Spotlight	Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling	Minhyuk Seo; Hyunseo Koh; Jonghyun Choi
Spotlight	Bundle Neural Network for message diffusion on graphs	Jacob Bamberger; Federico Barbero; Xiaowen Dong; Michael M. Bronstein
Spotlight	CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph	Haitao Lin; Guojiang Zhao; Odin Zhang; Yufei Huang; Lirong Wu; Cheng Tan; Zicheng Liu; Zhifeng Gao; Stan Z. Li
Spotlight	CBQ: Cross-Block Quantization for Large Language Models	Xin Ding; Xiaoyu Liu; Zhijun Tu; Yun Zhang; Wei Li; Jie Hu; Hanting Chen; Yehui Tang; Zhiwei Xiong; Baoqun Yin; Yunhe Wang
Spotlight	CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models	Song Wang; Peng Wang; Tong Zhou; Yushun Dong; Zhen Tan; Jundong Li
Spotlight	CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control	Guy Tevet; Sigal Raab; Setareh Cohan; Daniele Reda; Zhengyi Luo; Xue Bin Peng; Amit Haim Bermano; Michiel van de Panne
Spotlight	COPER: Correlation-based Permutations for Multi-View Clustering	Ran Eisenberg; Jonathan Svirsky; Ofir Lindenbaum
Spotlight	CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations	Noga Mudrik; Ryan Ly; Oliver Ruebel; Adam Shabti Charles
Spotlight	Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?	Seth Aycock; David Stap; Di Wu; Christof Monz; Khalil Sima'an
Spotlight	Can Large Language Models Understand Symbolic Graphics Programs?	Zeju Qiu; Weiyang Liu; Haiwen Feng; Zhen Liu; Tim Z. Xiao; Katherine M. Collins; Joshua B. Tenenbaum; Adrian Weller; Michael J. Black; Bernhard Schölkopf
Spotlight	Can Watermarked LLMs be Identified by Users via Crafted Prompts?	Aiwei Liu; Sheng Guan; Yiming Liu; Leyi Pan; Yifei Zhang; Liancheng Fang; Lijie Wen; Philip S. Yu; Xuming Hu
Spotlight	CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series	Gideon Stein; Maha Shadaydeh; Jan Blunk; Niklas Penzel; Joachim Denzler
Spotlight	Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images	Canfer Akbulut; Kevin Robinson; Maribeth Rauh; Isabela Albuquerque; Olivia Wiles; Laura Weidinger; Verena Rieser; Yana Hasson; Nahema Marchal; Iason Gabriel; W…
Spotlight	Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion	Xingqun Qi; Yatian Wang; Hengyuan Zhang; Jiahao Pan; Wei Xue; Shanghang Zhang; Wenhan Luo; Qifeng Liu; Yike Guo
Spotlight	Competition Dynamics Shape Algorithmic Phases of In-Context Learning	Core Francisco Park; Ekdeep Singh Lubana; Hidenori Tanaka
Spotlight	Computational Explorations of Total Variation Distance	Arnab Bhattacharyya; Sutanu Gayen; Kuldeep S. Meel; Dimitrios Myrisiotis; A. Pavan; N. V. Vinodchandran
Spotlight	ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks	Qiang Liu; Mengyu Chu; Nils Thuerey
Spotlight	Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies	Hyuna Cho; Ziquan Wei; Seungjoo Lee; Tingting Dan; Guorong Wu; Won Hwa Kim
Spotlight	Conformal Prediction Sets Can Cause Disparate Impact	Jesse C. Cresswell; Bhargava Kumar; Yi Sui; Mouloud Belbahri
Spotlight	Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs	Donggoo Jung; Daehyun Kim; Tae Hyun Kim
Spotlight	Control-oriented Clustering of Visual Latent Representation	Han Qi; Haocheng Yin; Heng Yang
Spotlight	Controlling Language and Diffusion Models by Transporting Activations	Pau Rodriguez; Arno Blaas; Michal Klein; Luca Zappella; Nicholas Apostoloff; marco cuturi; Xavier Suau
Spotlight	Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization	Audrey Huang; Wenhao Zhan; Tengyang Xie; Jason D. Lee; Wen Sun; Akshay Krishnamurthy; Dylan J Foster
Spotlight	Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking	Cassidy Laidlaw; Shivam Singhal; Anca Dragan
Spotlight	Counterfactual Realizability	Arvind Raghavan; Elias Bareinboim
Spotlight	Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification	Kaizheng Wang; Fabio Cuzzolin; Keivan Shariatmadar; David Moens; Hans Hallez
Spotlight	CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation	Nikolai Kalischek; Michael Oechsle; Fabian Manhardt; Philipp Henzler; Konrad Schindler; Federico Tombari
Spotlight	D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement	Yansong Peng; Hebei Li; Peixi Wu; Yueyi Zhang; Xiaoyan Sun; Feng Wu
Spotlight	DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models	Wenlong Deng; Yize Zhao; Vala Vakilian; Minghui Chen; Xiaoxiao Li; Christos Thrampoulidis
Spotlight	DEEM: Diffusion models serve as the eyes of large language models for image perception	Run Luo; Yunshui Li; Longze Chen; Wanwei He; Ting-En Lin; Ziqiang Liu; Lei Zhang; Zikai Song; Hamid Alinejad-Rokny; Xiaobo Xia; Tongliang Liu; Binyuan Hui; Min…
Spotlight	DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization	Yi Zhang; Siwei Wang; Jiyuan Liu; Shengju Yu; Zhibin Dong; Suyuan Liu; Xinwang Liu; En Zhu
Spotlight	DRoP: Distributionally Robust Data Pruning	Artem M Vysogorets; Kartik Ahuja; Julia Kempe
Spotlight	DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life	Yu Ying Chiu; Liwei Jiang; Yejin Choi
Spotlight	DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control	Kaifeng Zhao; Gen Li; Siyu Tang
Spotlight	DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback	Zaid Khan; Elias Stengel-Eskin; Jaemin Cho; Mohit Bansal
Spotlight	DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference	Jinwei Yao; Kaiqi Chen; Kexun Zhang; Jiaxuan You; Binhang Yuan; Zeke Wang; Tao Lin
Spotlight	DeLLMa: Decision Making Under Uncertainty with Large Language Models	Ollie Liu; Deqing Fu; Dani Yogatama; Willie Neiswanger
Spotlight	Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees	Shahryar Zehtabi; Dong-Jun Han; Rohit Parasnis; Seyyedali Hosseinalipour; Christopher Brinton
Spotlight	Decomposition Polyhedra of Piecewise Linear Functions	Marie-Charlotte Brandenburg; Moritz Leo Grillo; Christoph Hertrich
Spotlight	Deep Learning Alternatives Of The Kolmogorov Superposition Theorem	Leonardo Ferreira Guilhoto; Paris Perdikaris
Spotlight	DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model	Yi Liu; Changran XU; Yunhao Zhou; Zeju Li; Qiang Xu
Spotlight	Demystifying the Token Dynamics of Deep Selective State Space Models	Thieu Vo; Duy-Tung Pham; Xin T. Tong; Tan Minh Nguyen
Spotlight	Dense Video Object Captioning from Disjoint Supervision	Xingyi Zhou; Anurag Arnab; Chen Sun; Cordelia Schmid
Spotlight	DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo	Junzhe Zhu; Yuanchen Ju; Junyi Zhang; Muhan Wang; Zhecheng Yuan; Kaizhe Hu; Huazhe Xu
Spotlight	Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling	Yuxuan Yao; Han Wu; Mingyang LIU; Sichun Luo; Xiongwei Han; Jie Liu; Zhijiang Guo; Linqi Song
Spotlight	DiffPuter: Empowering Diffusion Models for Missing Data Imputation	Hengrui Zhang; Liancheng Fang; Qitian Wu; Philip S. Yu
Spotlight	Differentiable Integer Linear Programming	Zijie Geng; Jie Wang; Xijun Li; Fangzhou Zhu; Jianye HAO; Bin Li; Feng Wu
Spotlight	Differential learning kinetics govern the transition from memorization to generalization during in-context learning	Alex Nguyen; Gautam Reddy
Spotlight	Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient	George Wang; Jesse Hoogland; Stan van Wingerden; Zach Furman; Daniel Murfet
Spotlight	Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models	Jinxu Lin; Linwei Tao; Minjing Dong; Chang Xu
Spotlight	Diffusion Bridge AutoEncoders for Unsupervised Representation Learning	Yeongmin Kim; Kwanghyeon Lee; Minsang Park; Byeonghu Na; Il-chul Moon
Spotlight	Diffusion On Syntax Trees For Program Synthesis	Shreyas Kapur; Erik Jenner; Stuart Russell
Spotlight	Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Model Using Implicit Feedback from Pre-training Demonstrations	Thomas Tian; Kratarth Goel
Spotlight	Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA	Changmin Yu; Maneesh Sahani; Máté Lengyel
Spotlight	Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL	Ghada Sokar; Johan Samir Obando Ceron; Aaron Courville; Hugo Larochelle; Pablo Samuel Castro
Spotlight	DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes	Hengwei Bian; Lingdong Kong; Haozhe Xie; Liang Pan; Yu Qiao; Ziwei Liu
Spotlight	Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders	Min Shi; Fuxiao Liu; Shihao Wang; Shijia Liao; Subhashree Radhakrishnan; Yilin Zhao; De-An Huang; Hongxu Yin; Karan Sapra; Yaser Yacoob; Humphrey Shi; Bryan Ca…
Spotlight	Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance	Xu Shifeng; Yanzhu Liu; Adams Wai-Kin Kong
Spotlight	Effective Interplay between Sparsity and Quantization: From Theory to Practice	Simla Burcu Harma; Ayan Chakraborty; Elizaveta Kostenok; Danila Mishin; Dongho Ha; Babak Falsafi; Martin Jaggi; Ming Liu; Yunho Oh; Suvinay Subramanian; Amir Y…
Spotlight	Effective post-training embedding compression via temperature control in contrastive training	Georgiana Dinu; Corey D Barrett; Yi Xiang; Miguel Romero Calvo; Anna Currey; Xing Niu
Spotlight	Efficient and Accurate Explanation Estimation with Distribution Compression	Hubert Baniecki; Giuseppe Casalicchio; Bernd Bischl; Przemyslaw Biecek
Spotlight	EmbedLLM: Learning Compact Representations of Large Language Models	Richard Zhuang; Tianhao Wu; Zhaojin Wen; Andrew Li; Jiantao Jiao; Kannan Ramchandran
Spotlight	Emergent Orientation Maps —— Mechanisms, Coding Efficiency and Robustness	Haixin Zhong; Haoyu Wang; Wei P Dai; Yuchao Huang; Mingyi Huang; Rubin Wang; Anna Wang Roe; yuguo yu
Spotlight	Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds	Shuangqi Li; Hieu Le; Jingyi Xu; Mathieu Salzmann
Spotlight	Enhancing Learning with Label Differential Privacy by Vector Approximation	Puning Zhao; Jiafei Wu; Zhe Liu; Li Shen; Zhikun Zhang; Rongfei Fan; Le Sun; Qingming Li
Spotlight	Enhancing Pre-trained Representation Classifiability can Boost its Interpretability	Shufan Shen; Zhaobo Qi; Junshu Sun; Qingming Huang; Qi Tian; Shuhui Wang
Spotlight	Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems	Yunyang Li; Zaishuo Xia; Lin Huang; Xinran Wei; Samuel Harshe; Han Yang; Erpai Luo; Zun Wang; Jia Zhang; Chang Liu; Bin Shao; Mark Gerstein
Spotlight	Estimating the Probabilities of Rare Outputs in Language Models	Gabriel Wu; Jacob Hilton
Spotlight	Exact Certification of (Graph) Neural Networks Against Label Poisoning	Mahalakshmi Sabanayagam; Lukas Gosch; Stephan Günnemann; Debarghya Ghoshdastidar
Spotlight	Exploring Local Memorization in Diffusion Models via Bright Ending Attention	Chen Chen; Daochang Liu; Mubarak Shah; Chang Xu
Spotlight	Exploring the Camera Bias of Person Re-identification	Myungseo Song; Jin-Woo Park; Jong-Seok Lee
Spotlight	Fair Clustering in the Sliding Window Model	Vincent Cohen-Addad; Shaofeng H.-C. Jiang; Qiaoyuan Yang; Yubo Zhang; Samson Zhou
Spotlight	FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs	Zhiting Fan; Ruizhe Chen; Tianxiang Hu; Zuozhu Liu
Spotlight	Fast Uncovering of Protein Sequence Diversity from Structure	luca alessandro silva; Barthelemy Meynard-Piganeau; Carlo Lucibello; Christoph Feinauer
Spotlight	Fine-tuning with Reserved Majority for Noise Reduction	Shuyang Jiang; Yusheng Liao; Ya Zhang; Yanfeng Wang; Yu Wang
Spotlight	First-Person Fairness in Chatbots	Tyna Eloundou; Alex Beutel; David G. Robinson; Keren Gu; Anna-Luisa Brakman; Pamela Mishkin; Meghan Shah; Johannes Heidecke; Lilian Weng; Adam Tauman Kalai
Spotlight	Following the Human Thread in Social Navigation	Luca Scofano; Alessio Sampieri; Tommaso Campari; Valentino Sacco; Indro Spinelli; Lamberto Ballan; Fabio Galasso
Spotlight	Formation of Representations in Neural Networks	Liu Ziyin; Isaac L. Chuang; Tomer Galanti; Tomaso A Poggio
Spotlight	GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks	Dingyi Zhuang; Chonghe Jiang; Yunhan Zheng; Shenhao Wang; Jinhua Zhao
Spotlight	GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation	Danny Wang; Ruihong Qiu; Guangdong Bai; Zi Huang
Spotlight	Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition	Zhong Zheng; Haochen Zhang; Lingzhou Xue
Spotlight	Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors	Milad Sefidgaran; Abdellatif Zaidi; Piotr Krasnowski
Spotlight	Generalized Principal-Agent Problem with a Learning Agent	Tao Lin; Yiling Chen
Spotlight	Generating Freeform Endoskeletal Robots	Muhan Li; Lingji Kong; Sam Kriegman
Spotlight	Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture	Sajad Movahedi; Antonio Orvieto; Seyed-Mohsen Moosavi-Dezfooli
Spotlight	GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision	Zihui Zhang; Yafei YANG; Hongtao Wen; Bo Yang
Spotlight	Graph Neural Networks Can (Often) Count Substructures	Paolo Pellizzoni; Till Hendrik Schulz; Karsten Borgwardt
Spotlight	Graph Sparsification via Mixture of Graphs	Guibin Zhang; Xiangguo Sun; Yanwei Yue; Chonghe Jiang; Kun Wang; Tianlong Chen; Shirui Pan
Spotlight	Grounding Video Models to Actions through Goal Conditioned Exploration	Yunhao Luo; Yilun Du
Spotlight	Harnessing Diversity for Important Data Selection in Pretraining Large Language Models	Chi Zhang; Huaping Zhong; Kuan Zhang; Chengliang Chai; Rui Wang; Xinlin Zhuang; Tianyi Bai; Qiu Jiantao; Lei Cao; Ju Fan; Ye Yuan; Guoren Wang; Conghui He
Spotlight	High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws	Muhammed Emrullah Ildiz; Halil Alperen Gozeten; Ege Onur Taga; Marco Mondelli; Samet Oymak
Spotlight	Higher-Order Graphon Neural Networks: Approximation and Cut Distance	Daniel Herbst; Stefanie Jegelka
Spotlight	Holistically Evaluating the Environmental Impact of Creating Language Models	Jacob Morrison; Clara Na; Jared Fernandez; Tim Dettmers; Emma Strubell; Jesse Dodge
Spotlight	How Feature Learning Can Improve Neural Scaling Laws	Blake Bordelon; Alexander Atanasov; Cengiz Pehlevan
Spotlight	How Much is Unseen Depends Chiefly on Information About the Seen	Seongmin Lee; Marcel Boehme
Spotlight	How new data permeates LLM knowledge and how to dilute it	Chen Sun; Renat Aksitov; Andrey Zhmoginov; Nolan Andrew Miller; Max Vladymyrov; Ulrich Rueckert; Been Kim; Mark Sandler
Spotlight	How to Find the Exact Pareto Front for Multi-Objective MDPs?	Yining Li; Peizhong Ju; Ness Shroff
Spotlight	Hymba: A Hybrid-head Architecture for Small Language Models	Xin Dong; Yonggan Fu; Shizhe Diao; Wonmin Byeon; ZIJIA CHEN; Ameya Sunil Mahabaleshwarkar; Shih-Yang Liu; Matthijs Van keirsbilck; Min-Hung Chen; Yoshi Suhara;…
Spotlight	IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning	Jiawen Qin; Haonan Yuan; Qingyun Sun; Lyujin Xu; Jiaqi Yuan; Pengfeng Huang; Zhaonan Wang; Xingcheng Fu; Hao Peng; Jianxin Li; Philip S. Yu
Spotlight	INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge	Angelika Romanou; Negar Foroutan; Anna Sotnikova; Sree Harsha Nelaturu; Shivalika Singh; Rishabh Maheshwary; Micol Altomare; Zeming Chen; Mohamed A. Haggag; Sn…
Spotlight	Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning	Patrik Reizinger; Siyuan Guo; Ferenc Huszár; Bernhard Schölkopf; Wieland Brendel
Spotlight	ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences	Yuxin Wang; Xiaomeng Zhu; Weimin Lyu; Saeed Hassanpour; Soroush Vosoughi
Spotlight	Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression	Shuang Liang; Guido Montufar
Spotlight	Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension	Huanjian Zhou; Lingxiao Huang; Baoxiang Wang
Spotlight	Improved Convergence Rate for Diffusion Probabilistic Models	Gen Li; Yuchen Jiao
Spotlight	Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization	Rei Higuchi; Pierre-Louis Poirion; Akiko Takeda
Spotlight	Improving Unsupervised Constituency Parsing via Maximizing Semantic Information	Junjie Chen; Xiangheng He; Yusuke Miyao; Danushka Bollegala
Spotlight	Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency	Jiangrong Shen; Qi Xu; Gang Pan; Badong Chen
Spotlight	Imputation for prediction: beware of diminishing returns.	Marine Le Morvan; Gael Varoquaux
Spotlight	In Search of Forgotten Domain Generalization	Prasanna Mayilvahanan; Roland S. Zimmermann; Thaddäus Wiedemer; Evgenia Rusak; Attila Juhos; Matthias Bethge; Wieland Brendel
Spotlight	In vivo cell-type and brain region classification via multimodal contrastive learning	Han Yu; Hanrui Lyu; YiXun Xu; Charlie Windolf; Eric Kenji Lee; Fan Yang; Andrew M Shelton; Olivier Winter; International Brain Laboratory; Eva L Dyer; Chandram…
Spotlight	Instance-dependent Early Stopping	Suqin Yuan; Runqi Lin; Lei Feng; Bo Han; Tongliang Liu
Spotlight	Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment	Dongping Chen; Ruoxi Chen; Shu Pu; Zhaoyi Liu; Yanru Wu; Caixi Chen; Benlin Liu; Yue Huang; Yao Wan; Pan Zhou; Ranjay Krishna
Spotlight	Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence	Weize Chen; Ziming You; Ran Li; yitong guan; Chen Qian; Chenyang Zhao; Cheng Yang; Ruobing Xie; Zhiyuan Liu; Maosong Sun
Spotlight	InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences	Hongkai Zheng; Wenda Chu; Bingliang Zhang; Zihui Wu; Austin Wang; Berthy Feng; Caifeng Zou; Yu Sun; Nikola Borislavov Kovachki; Zachary E Ross; Katherine Bouma…
Spotlight	Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision	Yaowen Ye; Cassidy Laidlaw; Jacob Steinhardt
Spotlight	Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization	Hansi Yang; James Kwok
Spotlight	Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment	Chenliang Li; Siliang Zeng; Zeyi Liao; Jiaxiang Li; Dongyeop Kang; Alfredo Garcia; Mingyi Hong
Spotlight	JudgeLM: Fine-tuned Large Language Models are Scalable Judges	Lianghui Zhu; Xinggang Wang; Xinlong Wang
Spotlight	Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution	Simiao Li; Yun Zhang; Wei Li; Hanting Chen; Wenjia Wang; Bingyi Jing; Shaohui Lin; Jie Hu
Spotlight	Knowledge Localization: Mission Not Accomplished? Enter Query Localization!	Yuheng Chen; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao
Spotlight	LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models	Feng Li; Renrui Zhang; Hao Zhang; Yuanhan Zhang; Bo Li; Wei Li; Zejun MA; Chunyuan Li
Spotlight	LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models	Junyan Ye; Baichuan Zhou; Zilong Huang; Junan Zhang; Tianyi Bai; Hengrui Kang; Jun He; Honglin Lin; Zihao Wang; Tong Wu; Zhizheng Wu; Yiping Chen; Dahua Lin; C…
Spotlight	Language Model Alignment in Multilingual Trolley Problems	Zhijing Jin; Max Kleiman-Weiner; Giorgio Piatti; Sydney Levine; Jiarui Liu; Fernando Gonzalez Adauto; Francesco Ortu; András Strausz; Mrinmaya Sachan; Rada Mih…
Spotlight	Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding	Zhongyi Shui; Jianpeng Zhang; Weiwei Cao; Sinuo Wang; Ruizhe Guo; Le Lu; Lin Yang; Xianghua Ye; Tingbo Liang; Qi Zhang; Ling Zhang
Spotlight	Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models	Lucas Bandarkar; Benjamin Muller; Pritish Yuvraj; Rui Hou; Nayan Singhal; Hongjiang Lv; Bing Liu
Spotlight	LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation	Mufei Li; Viraj Shitole; Eli Chien; Changhai Man; Zhaodong Wang; Srinivas; Ying Zhang; Tushar Krishna; Pan Li
Spotlight	LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models	Hantao Zhang; Yuhe Liu; Jiancheng Yang; Shouhong Wan; Xinyuan Wang; Wei Peng; Pascal Fua
Spotlight	Lean-STaR: Learning to Interleave Thinking and Proving	Haohan Lin; Zhiqing Sun; Sean Welleck; Yiming Yang
Spotlight	Learning Equivariant Non-Local Electron Density Functionals	Nicholas Gao; Eike Eberhard; Stephan Günnemann
Spotlight	Learning Spatiotemporal Dynamical Systems from Point Process Observations	Valerii Iakovlev; Harri Lähdesmäki
Spotlight	Learning Transformer-based World Models with Contrastive Predictive Coding	Maxime Burchi; Radu Timofte
Spotlight	Learning from End User Data with Shuffled Differential Privacy over Kernel Densities	Tal Wagner
Spotlight	Learning from negative feedback, or positive feedback or both	Abbas Abdolmaleki; Bilal Piot; Bobak Shahriari; Jost Tobias Springenberg; Tim Hertweck; Michael Bloesch; Rishabh Joshi; Thomas Lampe; Junhyuk Oh; Nicolas Heess…
Spotlight	Learning local equivariant representations for quantum operators	Zhanghao Zhouyin; Zixi Gan; Shishir Kumar Pandey; Linfeng Zhang; Qiangqiang Gu
Spotlight	Learning to Solve Differential Equation Constrained Optimization Problems	Vincenzo Di Vito Francesco; Mostafa Mohammadian; Kyri Baker; Ferdinando Fioretto
Spotlight	Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels	Daning Huang; Hanyang He; John Harlim; Yan Li
Spotlight	Learning-Augmented Frequent Directions	Anders Aamand; Justin Y. Chen; Siddharth Gollapudi; Sandeep Silwal; Hao WU
Spotlight	Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions	Yan Ru Pei
Spotlight	LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning	Minyoung Kim; Timothy Hospedales
Spotlight	Lightweight Neural App Control	Filippos Christianos; Georgios Papoudakis; Thomas Coste; Jianye HAO; Jun Wang; Kun Shao
Spotlight	Linear Mode Connectivity in Differentiable Tree Ensembles	Ryuichi Kanoh; Mahito Sugiyama
Spotlight	Linear SCM Identification in the Presence of Confounders and Gaussian Noise	Vahideh Sanjaroonpouri; Pouria Ramazi
Spotlight	Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data	Xinran Liu; Yikun Bai; Rocio Diaz Martin; Kaiwen Shi; Ashkan Shahbazi; Bennett Allan Landman; Catie Chang; Soheil Kolouri
Spotlight	LiveBench: A Challenging, Contamination-Limited LLM Benchmark	Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Sreemanti Dey; Shubh-Agr…
Spotlight	LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression	Laurent Condat; Arto Maranjyan; Peter Richtárik
Spotlight	LoRA-Pro: Are Low-Rank Adapters Properly Optimized?	Zhengbo Wang; Jian Liang; Ran He; Zilei Wang; Tieniu Tan
Spotlight	LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models	Ziqi Lu; Heng Yang; Danfei Xu; Boyi Li; Boris Ivanovic; Marco Pavone; Yue Wang
Spotlight	Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation	Peng Gao; Le Zhuo; Dongyang Liu; Ruoyi Du; Xu Luo; Longtian Qiu; Yuhang Zhang; Rongjie Huang; Shijie Geng; Renrui Zhang; Junlin Xie; Wenqi Shao; Zhengkai Jiang…
Spotlight	MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL	Claas A Voelcker; Marcel Hussing; Eric Eaton; Amir-massoud Farahmand; Igor Gilitschenski
Spotlight	MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds	Leon Hetzel; Johanna Sommer; Bastian Rieck; Fabian J Theis; Stephan Günnemann
Spotlight	MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark	S Sakshi; Utkarsh Tyagi; Sonal Kumar; Ashish Seth; Ramaneswaran Selvakumar; Oriol Nieto; Ramani Duraiswami; Sreyan Ghosh; Dinesh Manocha
Spotlight	MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations	Shaochen Zhong; Yifan Lu; Lize Shao; Bhargav Bhushanam; Xiaocong Du; Yixin Wan; Yucheng Shi; Daochen Zha; Yiwei Wang; Ninghao Liu; Kaixiong Zhou; Shuai Xu; Kai…
Spotlight	MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers	Ao Li; Wei Fang; Hongbo Zhao; Le Lu; Ge Yang; Minfeng Xu
Spotlight	MagicPIG: LSH Sampling for Efficient LLM Generation	Zhuoming Chen; Ranajoy Sadhukhan; Zihao Ye; Yang Zhou; Jianyu Zhang; Niklas Nolte; Yuandong Tian; Matthijs Douze; Leon Bottou; Zhihao Jia; Beidi Chen
Spotlight	MamKO: Mamba-based Koopman operator for modeling and predictive control	ZHAOYANG LI; Minghao Han; Xunyuan Yin
Spotlight	MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code	Zimu Lu; Aojun Zhou; Ke Wang; Houxing Ren; Weikang Shi; Junting Pan; Mingjie Zhan; Hongsheng Li
Spotlight	Meta-Dynamical State Space Models for Integrative Neural Data Analysis	Ayesha Vermani; Josue Nassar; Hyungju Jeon; Matthew Dowling; Il Memming Park
Spotlight	MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility	Wayne Wu; Honglin He; Jack He; Yiran Wang; Chenda Duan; Zhizheng Liu; Quanyi Li; Bolei Zhou
Spotlight	Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models	Jingyang Zhang; Jingwei Sun; Eric Yeats; Yang Ouyang; Martin Kuo; Jianyi Zhang; Hao Frank Yang; Hai Li
Spotlight	Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization	Sascha Marton; Tim Grams; Florian Vogt; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt
Spotlight	Mitigating Memorization in Language Models	Mansi Sakarvadia; Aswathy Ajith; Arham Mushtaq Khan; Nathaniel C Hudson; Caleb Geniesse; Kyle Chard; Yaoqing Yang; Ian Foster; Michael W. Mahoney
Spotlight	MixEval-X: Any-to-any Evaluations from Real-world Data Mixture	Jinjie Ni; Yifan Song; Deepanway Ghosal; Bo Li; David Junhao Zhang; Xiang Yue; Fuzhao Xue; Yuntian Deng; Zian Zheng; Kaichen Zhang; Mahir Shah; Kabir Jain; Yan…
Spotlight	Mixture-of-Agents Enhances Large Language Model Capabilities	Junlin Wang; Jue WANG; Ben Athiwaratkun; Ce Zhang; James Zou
Spotlight	Modeling Complex System Dynamics with Flow Matching Across Time and Conditions	Martin Rohbeck; Edward De Brouwer; Charlotte Bunne; Jan-Christian Huetter; Anne Biton; Kelvin Y. Chen; Aviv Regev; Romain Lopez
Spotlight	MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion	Junyi Zhang; Charles Herrmann; Junhwa Hur; Varun Jampani; Trevor Darrell; Forrester Cole; Deqing Sun; Ming-Hsuan Yang
Spotlight	Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation	Qing Wu; Chenhe Du; Xuanyu Tian; Jingyi Yu; Yuyao Zhang; Hongjiang Wei
Spotlight	Monitoring Latent World States in Language Models with Propositional Probes	Jiahai Feng; Stuart Russell; Jacob Steinhardt
Spotlight	MorphoDiff: Cellular Morphology Painting with Diffusion Models	Zeinab Navidi; Jun Ma; Esteban Miglietta; Le Liu; Anne E Carpenter; Beth A Cimini; Benjamin Haibe-Kains; BO WANG
Spotlight	MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion	Onkar Kishor Susladkar; Jishu Sen Gupta; Chirag Sehgal; Sparsh Mittal; Rekha Singhal
Spotlight	Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits	Ashish J Khisti; MohammadReza Ebrahimi; Hassan Dbouk; Arash Behboodi; Roland Memisevic; Christos Louizos
Spotlight	Multi-Field Adaptive Retrieval	Millicent Li; Tongfei Chen; Benjamin Van Durme; Patrick Xia
Spotlight	Multi-Robot Motion Planning with Diffusion Models	Yorai Shaoul; Itamar Mishani; Shivam Vats; Jiaoyang Li; Maxim Likhachev
Spotlight	Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage	Zhi Gao; Bofei Zhang; Pengxiang Li; Xiaojian Ma; Tao Yuan; Yue Fan; Yuwei Wu; Yunde Jia; Song-Chun Zhu; Qing Li
Spotlight	Multi-session, multi-task neural decoding from distinct cell-types and brain regions	Mehdi Azabou; Krystal Xuejing Pan; Vinam Arora; Ian Jarratt Knight; Eva L Dyer; Blake Aaron Richards
Spotlight	Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation	Zhaochong An; Guolei Sun; Yun Liu; Runjia Li; Min Wu; Ming-Ming Cheng; Ender Konukoglu; Serge Belongie
Spotlight	ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction	Ziyu Tang; Weicai Ye; Yifan Wang; Di Huang; Hujun Bao; Tong He; Guofeng Zhang
Spotlight	NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models	Chankyu Lee; Rajarshi Roy; Mengyao Xu; Jonathan Raiman; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping
Spotlight	Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency	Qixin Zhang; Zongqi Wan; Yu Yang; Li Shen; Dacheng Tao
Spotlight	Nesterov acceleration in benignly non-convex landscapes	Kanan Gupta; Stephan Wojtowytsch
Spotlight	NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics	Ziyu Lu; Wuwei Zhang; Trung Le; Hao Wang; Uygar Sümbül; Eric Todd SheaBrown; Lu Mi
Spotlight	NetMoE: Accelerating MoE Training through Dynamic Sample Placement	Xinyi Liu; Yujie Wang; Fangcheng Fu; Xupeng Miao; Shenhan Zhu; Xiaonan Nie; Bin CUI
Spotlight	No Need to Talk: Asynchronous Mixture of Language Models	Anastasiia Filippova; Angelos Katharopoulos; David Grangier; Ronan Collobert
Spotlight	Nonlinear Sequence Embedding by Monotone Variational Inequality	Jonathan Yuyang Zhou; Yao Xie
Spotlight	Nonlinear multiregion neural dynamics with parametric impulse response communication channels	Matthew Dowling; Cristina Savin
Spotlight	Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification	Hsun-Yu Kuo; Yin-Hsiang Liao; Yu-Chieh Chao; Wei-Yun Ma; Pu-Jen Cheng
Spotlight	OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes	Sepehr Dehdashtian; Gautam Sreekumar; Vishnu Boddeti
Spotlight	ODE-based Smoothing Neural Network for Reinforcement Learning Tasks	Yinuo Wang; Wenxuan Wang; Xujie Song; Tong Liu; Yuming Yin; Liangfa Chen; Likun Wang; Jingliang Duan; Shengbo Eben Li
Spotlight	OS-ATLAS: Foundation Action Model for Generalist GUI Agents	Zhiyong Wu; Zhenyu Wu; Fangzhi Xu; Yian Wang; Qiushi Sun; Chengyou Jia; Kanzhi Cheng; Zichen Ding; Liheng Chen; Paul Pu Liang; Yu Qiao
Spotlight	OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents	Zhaolin Hu; Yixiao Zhou; Zhongan Wang; Xin Li; Weimin Yang; Hehe Fan; Yi Yang
Spotlight	OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text	Qingyun Li; Zhe Chen; Weiyun Wang; Wenhai Wang; Shenglong Ye; Zhenjiang Jin; Guanzhou Chen; Yinan He; Zhangwei Gao; Erfei Cui; Jiashuo Yu; Hao Tian; Jiasheng Z…
Spotlight	OmniRe: Omni Urban Scene Reconstruction	Ziyu Chen; Jiawei Yang; Jiahui Huang; Riccardo de Lutio; Janick Martinez Esturo; Boris Ivanovic; Or Litany; Zan Gojcic; Sanja Fidler; Marco Pavone; Li Song; Yu…
Spotlight	On Disentangled Training for Nonlinear Transform in Learned Image Compression	Han Li; Shaohui Li; Wenrui Dai; Maida Cao; Nuowen Kan; Chenglin Li; Junni Zou; Hongkai Xiong
Spotlight	On Quantizing Neural Representation for Variable-Rate Video Coding	Junqi Shi; Zhujia Chen; Hanfei Li; Qi Zhao; Ming Lu; Tong Chen; Zhan Ma
Spotlight	On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth	Gennadiy Averkov; Christopher Hojny; Maximilian Merkert
Spotlight	On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent	Bingrui Li; Wei Huang; Andi Han; Zhanpeng Zhou; Taiji Suzuki; Jun Zhu; Jianfei Chen
Spotlight	One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt	Tao Liu; Kai Wang; Senmao Li; Joost van de Weijer; Fahad Shahbaz Khan; Shiqi Yang; Yaxing Wang; Jian Yang; Ming-Ming Cheng
Spotlight	Online Preference Alignment for Language Models via Count-based Exploration	Chenjia Bai; Yang Zhang; Shuang Qiu; Qiaosheng Zhang; Kang Xu; Xuelong Li
Spotlight	Online Reinforcement Learning in Non-Stationary Context-Driven Environments	Pouya Hamadanian; Arash Nasr-Esfahany; Malte Schwarzkopf; Siddhartha Sen; Mohammad Alizadeh
Spotlight	Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model	Keda TAO; Jinjin Gu; Yulun Zhang; Xiucheng Wang; Nan Cheng
Spotlight	PABBO: Preferential Amortized Black-Box Optimization	Xinyu Zhang; Daolang Huang; Samuel Kaski; Julien Martinelli
Spotlight	PETRA: Parallel End-to-end Training with Reversible Architectures	Stephane Rivaud; Louis Fournier; Thomas Pumir; Eugene Belilovsky; Michael Eickenberg; Edouard Oyallon
Spotlight	POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition	Yuta Saito; Jihan Yao; Thorsten Joachims
Spotlight	PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction	Shangyu Chen; Zizheng Pan; Jianfei Cai; Dinh Phung
Spotlight	Perm: A Parametric Representation for Multi-Style 3D Hair Modeling	Chengan He; Xin Sun; Zhixin Shu; Fujun Luan; Soren Pirk; Jorge Alejandro Amador Herrera; Dominik Michels; Tuanfeng Yang Wang; Meng Zhang; Holly Rushmeier; Yi Z…
Spotlight	PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training	Cong Chen; Mingyu Liu; Chenchen Jing; Yizhou Zhou; Fengyun Rao; Hao Chen; Bo Zhang; Chunhua Shen
Spotlight	PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems	Bocheng Zeng; Qi Wang; Mengtao Yan; Yang Liu; Ruizhi Chengze; Yi Zhang; Hongsheng Liu; Zidong Wang; Hao Sun
Spotlight	Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws	Zeyuan Allen-Zhu; Yuanzhi Li
Spotlight	Physics-aligned field reconstruction with diffusion bridge	Zeyu Li; Hongkun Dou; Shen Fang; Wang Han; Yue Deng; Lijun Yang
Spotlight	PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance	Qijun Gan; Song Wang; Shengtao Wu; Jianke Zhu
Spotlight	Planning in Natural Language Improves LLM Search for Code Generation	Evan Z Wang; Federico Cassano; Catherine Wu; Yunfeng Bai; William Song; Vaskar Nath; Ziwen Han; Sean M. Hendryx; Summer Yue; Hugh Zhang
Spotlight	Poison-splat: Computation Cost Attack on 3D Gaussian Splatting	Jiahao Lu; Yifan Zhang; Qiuhong Shen; Xinchao Wang; Shuicheng YAN
Spotlight	Preference Optimization for Reasoning with Pseudo Feedback	Fangkai Jiao; Geyang Guo; Xingxing Zhang; Nancy F. Chen; Shafiq Joty; Furu Wei
Spotlight	Presto! Distilling Steps and Layers for Accelerating Music Generation	Zachary Novack; Ge Zhu; Jonah Casebeer; Julian McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan
Spotlight	Probabilistic Geometric Principal Component Analysis with application to neural data	Han-Lin Hsieh; Maryam Shanechi
Spotlight	Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation	Zhanfeng Mo; Haosen Shi; Sinno Jialin Pan
Spotlight	Programming Refusal with Conditional Activation Steering	Bruce W. Lee; Inkit Padhi; Karthikeyan Natesan Ramamurthy; Erik Miehling; Pierre Dognin; Manish Nagireddy; Amit Dhurandhar
Spotlight	Progressive Compositionality in Text-to-Image Generative Models	Xu Han; Linghao Jin; Xiaofeng Liu; Paul Pu Liang
Spotlight	Provable Uncertainty Decomposition via Higher-Order Calibration	Gustaf Ahdritz; Aravind Gollakota; Parikshit Gopalan; Charlotte Peale; Udi Wieder
Spotlight	Provably Accurate Shapley Value Estimation via Leverage Score Sampling	Christopher Musco; R. Teal Witter
Spotlight	Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning	Yan Scholten; Stephan Günnemann
Spotlight	Quality Measures for Dynamic Graph Generative Models	Ryien Hosseini; Filippo Simini; Venkatram Vishwanath; Rebecca Willett; Henry Hoffmann
Spotlight	RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression	Hengzhe Zhang; Qi Chen; Bing XUE; Wolfgang Banzhaf; Mengjie Zhang
Spotlight	RESuM: A Rare Event Surrogate Model for Physics Detector Design	Ann-Kathrin Schuetz; A.W.P. Poon; Aobo Li
Spotlight	Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance	Dongmin Park; Sebin Kim; Taehong Moon; Minkyu Kim; Kangwook Lee; Jaewoong Cho
Spotlight	ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability	ZhongXiang Sun; Xiaoxue Zang; Kai Zheng; Jun Xu; Xiao Zhang; Weijie Yu; Yang Song; Han Li
Spotlight	Realistic Evaluation of Deep Partial-Label Learning Algorithms	Wei Wang; Dong-Dong Wu; Jindong Wang; Gang Niu; Min-Ling Zhang; Masashi Sugiyama
Spotlight	Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data	Jiajie Li; Brian R Quaranto; Chenhui Xu; Ishan Mishra; Ruiyang Qin; Dancheng Liu; Peter C W Kim; Jinjun Xiong
Spotlight	Recovering Manifold Structure Using Ollivier Ricci Curvature	Tristan Luca Saidi; Abigail Hickok; Andrew J. Blumberg
Spotlight	Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering	Sheng Liu; Haotian Ye; James Zou
Spotlight	RegMix: Data Mixture as Regression for Language Model Pre-training	Qian Liu; Xiaosen Zheng; Niklas Muennighoff; Guangtao Zeng; Longxu Dou; Tianyu Pang; Jing Jiang; Min Lin
Spotlight	Regularization by Texts for Latent Diffusion Inverse Solvers	Jeongsol Kim; Geon Yeong Park; Hyungjin Chung; Jong Chul Ye
Spotlight	Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics	Josiah C Kratz; Jacob Adamczyk
Spotlight	RelitLRM: Generative Relightable Radiance for Large Reconstruction Models	Tianyuan Zhang; Zhengfei Kuang; Haian Jin; Zexiang Xu; Sai Bi; Hao Tan; He Zhang; Yiwei Hu; Milos Hasan; William T. Freeman; Kai Zhang; Fujun Luan
Spotlight	Representative Guidance: Diffusion Model Sampling with Coherence	Anh-Dung Dinh; Daochang Liu; Chang Xu
Spotlight	Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?	Xueru Wen; Jie Lou; Yaojie Lu; Hongyu Lin; XingYu; Xinyu Lu; Ben He; Xianpei Han; Debing Zhang; Le Sun
Spotlight	Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach	Qi Liu; Xinhao Zheng; Xudong Lu; Qinxiang Cao; Junchi Yan
Spotlight	Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model	Chunming He; Chengyu Fang; Yulun Zhang; Longxiang Tang; Jinfa Huang; Kai Li; Zhenhua Guo; Xiu Li; Sina Farsiu
Spotlight	Retri3D: 3D Neural Graphics Representation Retrieval	Yushi Guan; Daniel Kwan; Jean Sebastien Dandurand; Xi Yan; Ruofan Liang; Yuxuan Zhang; Nilesh Jain; Nilesh Ahuja; Selvakumar Panneer; Nandita Vijaykumar
Spotlight	Revisiting Random Walks for Learning on Graphs	Jinwoo Kim; Olga Zaghen; Ayhan Suleymanzade; Youngmin Ryou; Seunghoon Hong
Spotlight	Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations	Shaocong Ma; Heng Huang
Spotlight	Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating	Olivia Wiles; Chuhan Zhang; Isabela Albuquerque; Ivana Kajic; Su Wang; Emanuele Bugliarello; Yasumasa Onoe; Pinelopi Papalampidi; Ira Ktena; Christopher Knutse…
Spotlight	Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning	Amrith Setlur; Chirag Nagpal; Adam Fisch; Xinyang Geng; Jacob Eisenstein; Rishabh Agarwal; Alekh Agarwal; Jonathan Berant; Aviral Kumar
Spotlight	Robust Function-Calling for On-Device Language Model via Function Masking	Qiqiang Lin; Muning Wen; Qiuying Peng; Guanyu Nie; Junwei Liao; Jun Wang; Xiaoyun Mo; Jiamu Zhou; Cheng Cheng; Yin Zhao; Jun Wang; Weinan Zhang
Spotlight	Robustness Reprogramming for Representation Learning	Zhichao Hou; MohamadAli Torkamani; Hamid Krim; Xiaorui Liu
Spotlight	SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION	Jingxuan Chen; Derek Yuen; Bin Xie; Yuhao Yang; Gongwei Chen; Zhihao Wu; Li Yixing; Xurui Zhou; Weiwen Liu; Shuai Wang; Kaiwen Zhou; Rui Shao; Liqiang Nie; Yas…
Spotlight	SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks	Yijie Guo; Bingjie Tang; Iretiayo Akinola; Dieter Fox; Abhishek Gupta; Yashraj Narang
Spotlight	SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding	Zhenyu Yang; Yuhang Hu; Zemin Du; Dizhan Xue; Shengsheng Qian; Jiahong Wu; Fan Yang; Weiming Dong; Changsheng Xu
Spotlight	SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models	Muyang Li; Yujun Lin; Zhekai Zhang; Tianle Cai; Xiuyu Li; Junxian Guo; Enze Xie; Chenlin Meng; Jun-Yan Zhu; Song Han
Spotlight	Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking	Mattia Segu; Luigi Piccinelli; Siyuan Li; Yung-Hsu Yang; Luc Van Gool; Bernt Schiele
Spotlight	Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models	Qingni Wang; Tiantian Geng; Zhiyuan Wang; Teng Wang; Bo Fu; Feng Zheng
Spotlight	Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction	Baiting Luo; Ava Pettet; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay
Spotlight	Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier	Lu Yi; Zhewei Wei
Spotlight	Scaling FP8 training to trillion-token LLMs	Maxim Fishman; Brian Chmiel; Ron Banner; Daniel Soudry
Spotlight	Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML	Ryan McKenna
Spotlight	SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction	Lu Dai; Yijie Xu; Jinhui Ye; Hao Liu; Hui Xiong
Spotlight	Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models	Guanting Dong; Keming Lu; Chengpeng Li; Tingyu Xia; Bowen Yu; Chang Zhou; Jingren Zhou
Spotlight	Severing Spurious Correlations with Data Pruning	Varun Mulchandani; Jung-Eun Kim
Spotlight	Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training	Zhanpeng Zhou; Mingze Wang; Yuchen Mao; Bingrui Li; Junchi Yan
Spotlight	Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes	Georg Manten; Cecilia Casolo; Emilio Ferrucci; Søren Wengel Mogensen; Cristopher Salvi; Niki Kilbertus
Spotlight	SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning	Hojoon Lee; Dongyoon Hwang; Donghu Kim; Hyunseung Kim; Jun Jet Tai; Kaushik Subramanian; Peter R. Wurman; Jaegul Choo; Peter Stone; Takuma Seno
Spotlight	Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction	Shengju Yu; Zhibin Dong; Siwei Wang; Pei Zhang; Yi Zhang; Xinwang Liu; Naiyang Guan; Tiejun Li; Yiu-ming Cheung
Spotlight	Simplifying Deep Temporal Difference Learning	Matteo Gallici; Mattie Fellows; Benjamin Ellis; Bartomeu Pou; Ivan Masmitja; Jakob Nicolaus Foerster; Mario Martin
Spotlight	SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation	Yining Hong; Beide Liu; Maxine Wu; Yuanhao Zhai; Kai-Wei Chang; Linjie Li; Kevin Lin; Chung-Ching Lin; Jianfeng Wang; Zhengyuan Yang; Ying Nian Wu; Lijuan Wang
Spotlight	SoftCVI: Contrastive variational inference with self-generated soft labels	Daniel Ward; Mark Beaumont; Matteo Fasiolo
Spotlight	Sparse components distinguish visual pathways & their alignment to neural networks	Ammar I Marvi; Nancy Kanwisher; Meenakshi Khosla
Spotlight	Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement	Haijin Zeng; Benteng Sun; Yongyong Chen; Jingyong Su; Yong Xu
Spotlight	SplatFormer: Point Transformer for Robust 3D Gaussian Splatting	Yutong Chen; Marko Mihajlovic; Xiyi Chen; Yiming Wang; Sergey Prokudin; Siyu Tang
Spotlight	Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation	Eliot Xing; Vernon Luk; Jean Oh
Spotlight	Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion	Kaizhe Hu; Zihang Rui; Yao He; Yuyao Liu; Pu Hua; Huazhe Xu
Spotlight	Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression	Amit Chakrabarti; Jeffrey Jiang; David Woodruff; Taisuke Yasuda
Spotlight	Streamlining Redundant Layers to Compress Large Language Models	Xiaodong Chen; Yuxuan Hu; Jing Zhang; Yanling Wang; Cuiping Li; Hong Chen
Spotlight	Strong Model Collapse	Elvis Dohmatob; Yunzhen Feng; Arjun Subramonian; Julia Kempe
Spotlight	Student-Informed Teacher Training	Nico Messikommer; Jiaxu Xing; Elie Aljalbout; Davide Scaramuzza
Spotlight	Surprising Effectiveness of pretraining Ternary Language Model at Scale	Ayush Kaushal; Tejas Vaidhya; Arnab Kumar Mondal; Tejas Pandey; Aaryan Bhagat; Irina Rish
Spotlight	SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints	Miruna Cretu; Charles Harris; Ilia Igashov; Arne Schneuing; Marwin Segler; Bruno Correia; Julien Roy; Emmanuel Bengio; Pietro Lio
Spotlight	Systems with Switching Causal Relations: A Meta-Causal Perspective	Moritz Willig; Tim Tobiasch; Florian Peter Busch; Jonas Seng; Devendra Singh Dhami; Kristian Kersting
Spotlight	TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models	Makoto Shing; Kou Misaki; Han Bao; Sho Yokoi; Takuya Akiba
Spotlight	TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning	Ge Li; Dong Tian; Hongyi Zhou; Xinkai Jiang; Rudolf Lioutikov; Gerhard Neumann
Spotlight	TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks	Ivan Rubachev; Nikolay Kartashev; Yury Gorishniy; Artem Babenko
Spotlight	TabWak: A Watermark for Tabular Diffusion Models	Chaoyi Zhu; Jiayi Tang; Jeroen M. Galjaard; Pin-Yu Chen; Robert Birke; Cornelis Bos; Lydia Y. Chen
Spotlight	Targeted Attack Improves Protection against Unauthorized Diffusion Customization	Boyang Zheng; Chumeng Liang; Xiaoyu Wu
Spotlight	Tell me about yourself: LLMs are aware of their learned behaviors	Jan Betley; Xuchan Bao; Martín Soto; Anna Sztyber-Betley; James Chua; Owain Evans
Spotlight	Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency	Xinyu He; Dongqi Fu; Hanghang Tong; Ross Maciejewski; Jingrui He
Spotlight	Test-time Adaptation for Cross-modal Retrieval with Query Shift	Haobin Li; Peng Hu; Qianjun Zhang; Xi Peng; XitingLiu; Mouxing Yang
Spotlight	Test-time Alignment of Diffusion Models without Reward Over-optimization	Sunwoo Kim; Minkyu Kim; Dongmin Park
Spotlight	The Computational Complexity of Circuit Discovery for Inner Interpretability	Federico Adolfi; Martina G. Vilas; Todd Wareham
Spotlight	The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions	Stefan Sylvius Wagner; Maike Behrendt; Marc Ziegele; Stefan Harmeling
Spotlight	The Superposition of Diffusion Models Using the Itô Density Estimator	Marta Skreta; Lazar Atanackovic; Joey Bose; Alexander Tong; Kirill Neklyudov
Spotlight	Theory on Mixture-of-Experts in Continual Learning	Hongbo Li; Sen Lin; Lingjie Duan; Yingbin Liang; Ness Shroff
Spotlight	ThinK: Thinner Key Cache by Query-Driven Pruning	Yuhui Xu; Zhanming Jie; Hanze Dong; Lei Wang; Xudong Lu; Aojun Zhou; Amrita Saha; Caiming Xiong; Doyen Sahoo
Spotlight	ThunderKittens: Simple, Fast, and $\textit{Adorable}$ Kernels	Benjamin Frederick Spector; Simran Arora; Aaryan Singhal; Arjun Parthasarathy; Daniel Y Fu; Christopher Re
Spotlight	Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts	Xiaoming Shi; Shiyu Wang; Yuqi Nie; Dianqi Li; Zhou Ye; Qingsong Wen; Ming Jin
Spotlight	To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts	Yukun Huang; Sanxing Chen; Hongyi Cai; Bhuwan Dhingra
Spotlight	Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction	Ziyang Wu; Tianjiao Ding; Yifu Lu; Druv Pai; Jingyuan Zhang; Weida Wang; Yaodong Yu; Yi Ma; Benjamin David Haeffele
Spotlight	TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters	Haiyang Wang; Yue Fan; Muhammad Ferjad Naeem; Yongqin Xian; Jan Eric Lenssen; Liwei Wang; Federico Tombari; Bernt Schiele
Spotlight	TopoNets: High performing vision and language models with brain-like topography	Mayukh Deb; Mainak Deb; Apurva Ratan Murty
Spotlight	Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation	Laurin Lux; Alexander H Berger; Alexander Weers; Nico Stucki; Daniel Rueckert; Ulrich Bauer; Johannes C. Paetzold
Spotlight	Topological Schrödinger Bridge Matching	Maosheng Yang
Spotlight	Towards Automated Knowledge Integration From Human-Interpretable Representations	Kasia Kobalczyk; Mihaela van der Schaar
Spotlight	Towards General-Purpose Model-Free Reinforcement Learning	Scott Fujimoto; Pierluca D'Oro; Amy Zhang; Yuandong Tian; Michael Rabbat
Spotlight	Towards Marginal Fairness Sliced Wasserstein Barycenter	Khai Nguyen; Hai Nguyen; Nhat Ho
Spotlight	Towards a Unified and Verified Understanding of Group-Operation Networks	Wilson Wu; Louis Jaburi; jacob drori; Jason Gross
Spotlight	Towards hyperparameter-free optimization with differential privacy	Ruixuan Liu; Zhiqi Bu
Spotlight	Training-Free Activation Sparsity in Large Language Models	James Liu; Pragaash Ponnusamy; Tianle Cai; Han Guo; Yoon Kim; Ben Athiwaratkun
Spotlight	Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought	Jianhao Huang; Zixuan Wang; Jason D. Lee
Spotlight	Tuning Frequency Bias of State Space Models	Annan Yu; Dongwei Lyu; Soon Hoe Lim; Michael W. Mahoney; N. Benjamin Erichson
Spotlight	Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations	Richard Bergna; Sergio Calvo Ordoñez; Felix Opolka; Pietro Lio; José Miguel Hernández-Lobato
Spotlight	Uncovering Gaps in How Humans and LLMs Interpret Subjective Language	Erik Jones; Arjun Patrawala; Jacob Steinhardt
Spotlight	Uncovering Overfitting in Large Language Model Editing	Mengqi Zhang; Xiaotian Ye; Qiang Liu; Shu Wu; Pengjie Ren; Zhumin Chen
Spotlight	Understanding Factual Recall in Transformers via Associative Memories	Eshaan Nichani; Jason D. Lee; Alberto Bietti
Spotlight	UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization	Peiwen Yuan; Shaoxiong Feng; Yiwei Li; Xinglin Wang; Yueqi Zhang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li
Spotlight	UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery	Ruifeng Li; Mingqian Li; Wei Liu; Yuhua Zhou; Xiangxin Zhou; Yuan Yao; Qiang Zhang; Hongyang Chen
Spotlight	Union-over-Intersections: Object Detection beyond Winner-Takes-All	Aritra Bhowmik; Pascal Mettes; Martin R. Oswald; Cees G. M. Snoek
Spotlight	Universal generalization guarantees for Wasserstein distributionally robust models	Tam Le; Jerome Malick
Spotlight	VLMaterial: Procedural Material Generation with Large Vision-Language Models	Beichen Li; Rundi Wu; Armando Solar-Lezama; Changxi Zheng; Liang Shi; Bernd Bickel; Wojciech Matusik
Spotlight	Vision Language Models are In-Context Value Learners	Yecheng Jason Ma; Joey Hejna; Chuyuan Fu; Dhruv Shah; Jacky Liang; Zhuo Xu; Sean Kirmani; Peng Xu; Danny Driess; Ted Xiao; Osbert Bastani; Dinesh Jayaraman; We…
Spotlight	Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures	Yuchen Duan; Weiyun Wang; Zhe Chen; Xizhou Zhu; Lewei Lu; Tong Lu; Yu Qiao; Hongsheng Li; Jifeng Dai; Wenhai Wang
Spotlight	VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning	Yichao Liang; Nishanth Kumar; Hao Tang; Adrian Weller; Joshua B. Tenenbaum; Tom Silver; Joao F. Henriques; Kevin Ellis
Spotlight	Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations	Katie Matton; Robert Ness; John Guttag; Emre Kiciman
Spotlight	Wasserstein Distances, Neuronal Entanglement, and Sparsity	Shashata Sawmya; Linghao Kong; Ilia Markov; Dan Alistarh; Nir N Shavit
Spotlight	Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model	Wenhong Zhu; Zhiwei He; Xiaofeng Wang; Pengfei Liu; Rui Wang
Spotlight	Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric	Toshimitsu Uesaka; Taiji Suzuki; Yuhta Takida; Chieh-Hsin Lai; Naoki Murata; Yuki Mitsufuji
Spotlight	What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis	Weronika Ormaniec; Felix Dangel; Sidak Pal Singh
Spotlight	What Makes a Good Diffusion Planner for Decision Making?	Haofei Lu; Dongqi Han; Yifei Shen; Dongsheng Li
Spotlight	When Attention Sink Emerges in Language Models: An Empirical View	Xiangming Gu; Tianyu Pang; Chao Du; Qian Liu; Fengzhuo Zhang; Cunxiao Du; Ye Wang; Min Lin
Spotlight	When do GFlowNets learn the right distribution?	Tiago Silva; Rodrigo Barreto Alves; Eliezer de Souza da Silva; Amauri H Souza; Vikas Garg; Samuel Kaski; Diego Mesquita
Spotlight	WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild	Bill Yuchen Lin; Yuntian Deng; Khyathi Chandu; Abhilasha Ravichander; Valentina Pyatkin; Nouha Dziri; Ronan Le Bras; Yejin Choi
Spotlight	X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale	Haoran Xu; Kenton Murray; Philipp Koehn; Hieu Hoang; Akiko Eriguchi; Huda Khayrallah
Spotlight	ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish	Jan-Matthis Lueckmann; Alexander Immer; Alex Bo-Yuan Chen; Peter H. Li; Mariela D Petkova; Nirmala A Iyer; Luuk Willem Hesselink; Aparna Dev; Gudrun Ihrke; Woo…
Spotlight	gRNAde: Geometric Deep Learning for 3D RNA inverse design	Chaitanya K. Joshi; Arian Rokkum Jamasb; Ramon Viñas Torné; Charles Harris; Simon V Mathis; Alex Morehead; Rishabh Anand; Pietro Lio
Spotlight	u-$\mu$P: The Unit-Scaled Maximal Update Parametrization	Charlie Blake; Constantin Eichenberg; Josef Dean; Lukas Balles; Luke Yuri Prince; Björn Deiseroth; Andres Felipe Cruz-Salinas; Carlo Luschi; Samuel Weinbach; D…
Spotlight	uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs	Yu Chen; Jiatai Huang; Yan Dai; Longbo Huang

Official Area / Track Distribution

Official area / track	篇数	占比
foundation or frontier models, including LLMs	469	12.7%
applications to computer vision, audio, language, and other modalities	420	11.3%
generative models	377	10.2%
alignment, fairness, safety, privacy, and societal considerations	332	9.0%
unsupervised, self-supervised, semi-supervised, and supervised representation learning	236	6.4%
reinforcement learning	230	6.2%
datasets and benchmarks	228	6.2%
applications to physical sciences (physics, chemistry, biology, etc.)	178	4.8%
optimization	162	4.4%
interpretability and explainable AI	155	4.2%
other topics in machine learning (i.e., none of the above)	152	4.1%
learning theory	141	3.8%
learning on graphs and other geometries & topologies	134	3.6%
transfer learning, meta learning, and lifelong learning	95	2.6%
applications to robotics, autonomy, planning	91	2.5%
probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)	84	2.3%
applications to neuroscience & cognitive science	67	1.8%
learning on time series and dynamical systems	61	1.6%
causal reasoning	34	0.9%
neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.)	29	0.8%
infrastructure, software libraries, hardware, systems, etc.	28	0.8%
Total	3703	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(469), Large Language Models(63), LLM(39), large language models(34), Large Language Model(30), LLMs(25), large language model(21), language models(17), reasoning(13), Transformers(11)
applications to computer vision, audio, language, and other modalities	audio(421), language(420), and other modalities(420), Large Language Models(14), 3D Gaussian Splatting(12), Gaussian Splatting(11), Large Language Model(7), LLM(7), diffusion model(7), 3D Reconstruction(7)
generative models	Diffusion Models(39), diffusion models(38), Diffusion Model(22), diffusion model(21), Diffusion models(20), Generative Models(16), generative models(16), Diffusion model(14), diffusion(13), Generative Model(12)
alignment, fairness, safety, privacy, and societal considerations	safety(340), privacy(339), fairness(338), and societal considerations(332), Large Language Models(24), alignment(18), Alignment(16), LLM(14), large language models(13), adversarial robustness(13)
unsupervised, self-supervised, semi-supervised, and supervised representation learning	self-supervised(236), semi-supervised(236), and supervised representation learning(236), representation learning(20), Representation Learning(12), unsupervised learning(9), Self-supervised learning(9), contrastive learning(8), self-supervised learning(8), CLIP(6)
reinforcement learning	Reinforcement Learning(56), reinforcement learning(47), Offline Reinforcement Learning(13), multi-agent reinforcement learning(9), Reinforcement learning(8), offline reinforcement learning(8), model-based reinforcement learning(8), imitation learning(5), Imitation Learning(5), world model(5)
datasets and benchmarks	Benchmark(41), benchmark(31), LLM(16), Large Language Models(16), Evaluation(12), dataset(12), evaluation(10), Dataset(6), Code Generation(6), LLMs(6)
applications to physical sciences (physics, chemistry, biology, etc.)	biology(182), chemistry(178), etc.)(178), AI4Science(7), diffusion models(7), protein design(6), Large Language Models(6), physics(6), flow matching(5), Equivariance(5)
optimization	Optimization(12), optimization(11), stochastic optimization(7), convex optimization(6), acceleration(5), nonconvex optimization(5), SGD(5), Deep Learning(5), Large Language Models(4), Convergence Analysis(4)
interpretability and explainable AI	interpretability(30), Interpretability(24), mechanistic interpretability(20), Explainable AI(12), Mechanistic Interpretability(9), large language models(8), Large Language Models(7), explainability(7), sparse autoencoders(6), LLMs(5)
other topics in machine learning (i.e., none of the above)	none of the above)(152), large language models(9), Large Language Model(7), Federated Learning(6), Optimal Transport(5), large language model(4), Large Language Models(4), LLM(3), generalization(2), tabular data(2)
learning theory	Transformer(9), feature learning(8), deep learning theory(7), learning theory(7), neural networks(5), generalization(5), benign overfitting(4), Learning theory(4), generative models(4), kernel methods(3)
learning on graphs and other geometries & topologies	Graph Neural Networks(25), graph neural networks(15), Graph neural networks(7), Graph Neural Network(7), expressivity(4), Equivariance(4), geometric deep learning(4), Graph Learning(4), node classification(4), Graph neural network(3)
transfer learning, meta learning, and lifelong learning	meta learning(96), and lifelong learning(95), Continual Learning(11), continual learning(8), transfer learning(7), test-time adaptation(6), model merging(5), Knowledge Distillation(4), Catastrophic Forgetting(4), Meta-Learning(3)
applications to robotics, autonomy, planning	autonomy(92), planning(92), Robotics(8), Robotic Manipulation(7), Imitation Learning(6), Autonomous Driving(6), Embodied AI(6), Reinforcement Learning(5), Robot Learning(5), LLM(4)
probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)	variational inference(92), sampling(88), UQ(84), etc.)(84), uncertainty quantification(5), Variational Inference(5), Sampling(5), Conformal Prediction(4), Bayesian optimization(4), GFlowNets(4)
applications to neuroscience & cognitive science	neuroscience(14), fMRI(10), representation learning(5), contrastive learning(4), visual cortex(4), computational neuroscience(4), deep learning(3), Transformers(3), neural dynamics(3), cognitive science(3)
learning on time series and dynamical systems	dynamical systems(5), Time Series Forecasting(5), time series(5), Time Series(4), Time series(3), neural ODEs(3), system identification(2), dynamics learning(2), identifiability(2), In-context Learning(2)
causal reasoning	causal discovery(7), causal inference(5), Causal Inference(4), Causal Discovery(4), causality(3), Causality(3), causal structure learning(3), treatment effect estimation(2), identifiability(2), causal representation learning(2)
neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.)	logic & formal reasoning(29), etc.)(29), Neural Theorem Proving(3), Large Language Models(3), LLMs(3), Formal Mathematics(2), LLM(2), neuro-symbolic(2), Symbolic Regression(2), Wave Equation(1)
infrastructure, software libraries, hardware, systems, etc.	software libraries(28), hardware(28), systems(28), etc.(28), GPU(2), large language models(2), distributed training(2), GPUs(2), Efficiency(2), large language model(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	$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning Authors: Mintong Kang; Bo Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: LLM guardrail model; content moderation; fairness; safety; privacy; and societal considerations
2	Adaptive Batch Size for Privately Finding Second-Order Stationary Points Authors: Daogao Liu; Kunal Talwar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Differential privacy; non-convex optimization; adaptive batch size; fairness; safety; privacy; and societal considerations
3	Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI Authors: Robert Hönig; Javier Rando; Nicholas Carlini; Florian Tramèr Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: security; adversarial; style mimicry; generative ai; fairness; safety; privacy; and societal considerations
4	AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs Authors: Xiaogeng Liu; Peiran Li; G. Edward Suh; Yevgeniy Vorobeychik; Zhuoqing Mao; Somesh Jha; Patrick McDaniel; Huan Sun; Bo Li; Chaowei Xiao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Large Language Model; Jailbreak Attack; LLM Agent; fairness; safety; privacy; and societal considerations
5	Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models Authors: Wenxuan Zhang; Philip Torr; Mohamed Elhoseiny; Adel Bibi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Large Language Models; RLHF; Safety; fairness; safety; privacy; and societal considerations
6	Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors Authors: Chen Ma; Xinjie Xu; Shuyu Cheng; Qi Xuan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: adversarial attack; hard-label attack; decision-based attack; black-box attack; gradient estimation; surrogate model; transfer-based priors; fairness; safety;…
7	Can Watermarked LLMs be Identified by Users via Crafted Prompts? Authors: Aiwei Liu; Sheng Guan; Yiming Liu; Leyi Pan; Yifei Zhang; Liancheng Fang; Lijie Wen; Philip S. Yu; Xuming Hu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Large Language Models; Watermark; Identification; fairness; safety; privacy; and societal considerations
8	Conformal Prediction Sets Can Cause Disparate Impact Authors: Jesse C. Cresswell; Bhargava Kumar; Yi Sui; Mouloud Belbahri Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Conformal Prediction; Fairness; Uncertainty Quantification; Trustworthy ML; Human Subject Experiments; fairness; safety; privacy; and societal considerations
9	Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking Authors: Cassidy Laidlaw; Shivam Singhal; Anca Dragan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: reward hacking; reward gaming; overoptimization; occupancy measures; fairness; safety; privacy; and societal considerations
10	Enhancing Learning with Label Differential Privacy by Vector Approximation Authors: Puning Zhao; Jiafei Wu; Zhe Liu; Li Shen; Zhikun Zhang; Rongfei Fan; Le Sun; Qingming Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: label differential privacy; fairness; safety; privacy; and societal considerations
11	Exploring Local Memorization in Diffusion Models via Bright Ending Attention Authors: Chen Chen; Daochang Liu; Mubarak Shah; Chang Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Diffusion Models; Local Memorization; Bright Ending Attention; fairness; safety; privacy; and societal considerations
12	Fair Clustering in the Sliding Window Model Authors: Vincent Cohen-Addad; Shaofeng H.-C. Jiang; Qiaoyuan Yang; Yubo Zhang; Samson Zhou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: fair clustering; sliding window model; fairness; safety; privacy; and societal considerations
13	First-Person Fairness in Chatbots Authors: Tyna Eloundou; Alex Beutel; David G. Robinson; Keren Gu; Anna-Luisa Brakman; Pamela Mishkin; Meghan Shah; Johannes Heidecke; Lilian Weng; Adam Tauman Kalai Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: fairness; large language models; chatbots; fairness; safety; privacy; and societal considerations
14	Holistically Evaluating the Environmental Impact of Creating Language Models Authors: Jacob Morrison; Clara Na; Jared Fernandez; Tim Dettmers; Emma Strubell; Jesse Dodge Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: machine learning; artificial intelligence; language model; large language models; environmental impact; carbon emissions; water usage; fairness; safety; privac…
15	Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision Authors: Yaowen Ye; Cassidy Laidlaw; Jacob Steinhardt Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: unreliable human supervision; language model post-training; scalable oversight; fairness; safety; privacy; and societal considerations
16	JudgeLM: Fine-tuned Large Language Models are Scalable Judges Authors: Lianghui Zhu; Xinggang Wang; Xinlong Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: LLM Judging; fairness; safety; privacy; and societal considerations
17	Language Model Alignment in Multilingual Trolley Problems Authors: Zhijing Jin; Max Kleiman-Weiner; Giorgio Piatti; Sydney Levine; Jiarui Liu; Fernando Gonzalez Adauto; Francesco Ortu; András Strausz; Mrinmaya Sachan; Rada Mihalcea; Yejin Choi; B… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: LLM alignment; moral evaluation; trolley problems; language model evaluation; AI alignment; fairness; safety; privacy; and societal considerations
18	Learning from End User Data with Shuffled Differential Privacy over Kernel Densities Authors: Tal Wagner Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: differential privacy; shuffled differential privacy; kernel density estimation; kde; fairness; safety; privacy; and societal considerations
19	Mitigating Memorization in Language Models Authors: Mansi Sakarvadia; Aswathy Ajith; Arham Mushtaq Khan; Nathaniel C Hudson; Caleb Geniesse; Kyle Chard; Yaoqing Yang; Ian Foster; Michael W. Mahoney Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: language models; memorization; machine unlearning; regularization; fine-tuning; natural language processing; fairness; safety; privacy; and societal considerat…
20	OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes Authors: Sepehr Dehdashtian; Gautam Sreekumar; Vishnu Boddeti Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Stereotype Measurement; Responsible AI; Trustworthy AI; Interpretability; Generative AI; Text-to-Image Models; Multimodal Models; fairness; safety; privacy; an…
21	Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Authors: Jiahao Lu; Yifan Zhang; Qiuhong Shen; Xinchao Wang; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: gaussian splatting; computation cost attack; energy-latency attack; data poisoning attack; 3D security; AI security; fairness; safety; privacy; and societal co…
22	Programming Refusal with Conditional Activation Steering Authors: Bruce W. Lee; Inkit Padhi; Karthikeyan Natesan Ramamurthy; Erik Miehling; Pierre Dognin; Manish Nagireddy; Amit Dhurandhar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Activation Engineering; Safety; Alignment; Steering Vector; fairness; safety; privacy; and societal considerations
23	Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning Authors: Yan Scholten; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Conformal prediction; Certifiable robustness; Adversarial robustness; fairness; safety; privacy; and societal considerations
24	ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability Authors: ZhongXiang Sun; Xiaoxue Zang; Kai Zheng; Jun Xu; Xiao Zhang; Weijie Yu; Yang Song; Han Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Retrieval-Augmented Generation Hallucination; Hallucination Detection; Mechanistic Interpretability; fairness; safety; privacy; and societal considerations
25	Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering Authors: Sheng Liu; Haotian Ye; James Zou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Large Vision-Language Models; Multimodal large language model; Hallucination; fairness; safety; privacy; and societal considerations
26	Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? Authors: Xueru Wen; Jie Lou; Yaojie Lu; Hongyu Lin; XingYu; Xinyu Lu; Ben He; Xianpei Han; Debing Zhang; Le Sun Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Reinforcement Learning from Human Feedback; Reward Model; fairness; safety; privacy; and societal considerations
27	Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML Authors: Ryan McKenna Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: differential privacy; large models; DP-SGD; matrix factorization; fairness; safety; privacy; and societal considerations
28	Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models Authors: Guanting Dong; Keming Lu; Chengpeng Li; Tingyu Xia; Bowen Yu; Chang Zhou; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Instruction Following; Large Language Models; Execution Feedback; On-policy Learning; Strong-to-Weak Distillation; Self-Alignment; fairness; safety; privacy; a…
29	Severing Spurious Correlations with Data Pruning Authors: Varun Mulchandani; Jung-Eun Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Spurious Correlations; Data Pruning; fairness; safety; privacy; and societal considerations
30	TabWak: A Watermark for Tabular Diffusion Models Authors: Chaoyi Zhu; Jiayi Tang; Jeroen M. Galjaard; Pin-Yu Chen; Robert Birke; Cornelis Bos; Lydia Y. Chen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Watermarking; Tabular data; Generative models; Tabular diffusion models; fairness; safety; privacy; and societal considerations
31	Targeted Attack Improves Protection against Unauthorized Diffusion Customization Authors: Boyang Zheng; Chumeng Liang; Xiaoyu Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Protection; Unauthorized Diffusion Customization; Adversarial Attack; Diffusion Model; Privacy; fairness; safety; privacy; and societal considerations
32	Towards hyperparameter-free optimization with differential privacy Authors: Ruixuan Liu; Zhiqi Bu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: Differential privacy; optimization; hyper-parameter tuning; fairness; safety; privacy; and societal considerations
33	Uncovering Gaps in How Humans and LLMs Interpret Subjective Language Authors: Erik Jones; Arjun Patrawala; Jacob Steinhardt Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: safety; alignment; constitutional ai; language model failures; misalignment; automated evaluation; automated red-teaming; fairness; safety; privacy; and societ…
34	Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model Authors: Wenhong Zhu; Zhiwei He; Xiaofeng Wang; Pengfei Liu; Rui Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Spotlight Keywords: weak-to-strong; model alignment; fairness; safety; privacy; and societal considerations
35	A CLIP-Powered Framework for Robust and Generalizable Data Selection Authors: Suorong Yang; Peng Ye; Wanli Ouyang; Dongzhan Zhou; Furao Shen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Data selection; generalization; multimodal; audio; language; and other modalities
36	ADIFF: Explaining audio difference using natural language Authors: Soham Deshmukh; Shuo Han; Rita Singh; Bhiksha Raj Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: audio processing; audio-language; multimodal learning; audio; language; and other modalities
37	Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation Authors: Peiwen Sun; Sitong Cheng; Xiangtai Li; Zhen Ye; Huadai Liu; Honggang Zhang; 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: Spotlight Keywords: audio generation; multimodal learning; stereo audio; audio; language; and other modalities
38	CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control Authors: Guy Tevet; Sigal Raab; Setareh Cohan; Daniele Reda; Zhengyi Luo; Xue Bin Peng; Amit Haim Bermano; Michiel van de Panne Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: RL; PPO; motion; motion generation; motion synthesis; synthesis; generative models; diffusion; animation; audio; language; and other modalities
39	Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion Authors: Xingqun Qi; Yatian Wang; Hengyuan Zhang; Jiahao Pan; Wei Xue; Shanghang Zhang; Wenhan Luo; Qifeng Liu; Yike Guo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: 3D co-speech gesture generation; human motion modeling; audio; language; and other modalities
40	D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement Authors: Yansong Peng; Hebei Li; Peixi Wu; Yueyi Zhang; Xiaoyan Sun; Feng Wu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Object Detection; Real-Time; Detection Transformer; Knowledge Distillation; audio; language; and other modalities
41	DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control Authors: Kaifeng Zhao; Gen Li; Siyu Tang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Human Motion Generation; audio; language; and other modalities
42	Dense Video Object Captioning from Disjoint Supervision Authors: Xingyi Zhou; Anurag Arnab; Chen Sun; Cordelia Schmid Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: object captioning; video; tracking; audio; language; and other modalities
43	Exploring the Camera Bias of Person Re-identification Authors: Myungseo Song; Jin-Woo Park; Jong-Seok Lee Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Person re-identification; Camera bias; Debiasing; Unsupervised learning; audio; language; and other modalities
44	Improving Unsupervised Constituency Parsing via Maximizing Semantic Information Authors: Junjie Chen; Xiangheng He; Yusuke Miyao; Danushka Bollegala Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: unsupervised constituency parsing; information theory; semantic information; audio; language; and other modalities
45	Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence Authors: Weize Chen; Ziming You; Ran Li; yitong guan; Chen Qian; Chenyang Zhao; Cheng Yang; Ruobing Xie; Zhiyuan Liu; Maosong Sun Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: llm agent; multi-agent; audio; language; and other modalities
46	Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution Authors: Simiao Li; Yun Zhang; Wei Li; Hanting Chen; Wenjia Wang; Bingyi Jing; Shaohui Lin; Jie Hu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Image Super-Resolution; Knowledge Distillation; Model Compression; audio; language; and other modalities
47	Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding Authors: Zhongyi Shui; Jianpeng Zhang; Weiwei Cao; Sinuo Wang; Ruizhe Guo; Le Lu; Lin Yang; Xianghua Ye; Tingbo Liang; Qi Zhang; Ling Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Vision-language model; fine-grained alignment; large-scale pre-training; CT image; audio; language; and other modalities
48	MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion Authors: Junyi Zhang; Charles Herrmann; Junhwa Hur; Varun Jampani; Trevor Darrell; Forrester Cole; Deqing Sun; Ming-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: 3D computer vision; structure from motion; depth estimation; audio; language; and other modalities
49	Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation Authors: Qing Wu; Chenhe Du; Xuanyu Tian; Jingyi Yu; Yuyao Zhang; Hongjiang Wei Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: MRI Reconstruction; Motion Correction; Neural Representation; NeRF; Unsupervised Learning; audio; language; and other modalities
50	MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion Authors: Onkar Kishor Susladkar; Jishu Sen Gupta; Chirag Sehgal; Sparsh Mittal; Rekha Singhal Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: text2video; VQ-Diffusion; video Inpainting; Large scale pretraining; audio; language; and other modalities
51	Multi-Field Adaptive Retrieval Authors: Millicent Li; Tongfei Chen; Benjamin Van Durme; Patrick Xia Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: information retrieval; hybrid retrievers; semi-structured data; audio; language; and other modalities
52	Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage Authors: Zhi Gao; Bofei Zhang; Pengxiang Li; Xiaojian Ma; Tao Yuan; Yue Fan; Yuwei Wu; Yunde Jia; Song-Chun Zhu; Qing Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Multimodal Agents; Vision-language Model; Tool usage; audio; language; and other modalities
53	ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction Authors: Ziyu Tang; Weicai Ye; Yifan Wang; Di Huang; Hujun Bao; Tong He; Guofeng Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Normal Deflection Fields; High-Fidelity Indoor Reconstruction; audio; language; and other modalities
54	On Quantizing Neural Representation for Variable-Rate Video Coding Authors: Junqi Shi; Zhujia Chen; Hanfei Li; Qi Zhao; Ming Lu; Tong Chen; Zhan Ma Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Variable Rate; Video Coding; Quantization; Neural Representation; audio; language; and other modalities
55	Presto! Distilling Steps and Layers for Accelerating Music Generation Authors: Zachary Novack; Ge Zhu; Jonah Casebeer; Julian McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: music generation; diffusion distillation; diffusion; diffusion acceleration; text-to-music generation; layer dropping; audio; language; and other modalities
56	Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data Authors: Jiajie Li; Brian R Quaranto; Chenhui Xu; Ishan Mishra; Ruiyang Qin; Dancheng Liu; Peter C W Kim; Jinjun Xiong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Image Recognition; Vision-Language Pretraining; Image Tagging; Medical Imaging; Surgery; audio; language; and other modalities
57	RelitLRM: Generative Relightable Radiance for Large Reconstruction Models Authors: Tianyuan Zhang; Zhengfei Kuang; Haian Jin; Zexiang Xu; Sai Bi; Hao Tan; He Zhang; Yiwei Hu; Milos Hasan; William T. Freeman; Kai Zhang; Fujun Luan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Relightable reconstruction; Inverse Rendering; Generative Relighting; audio; language; and other modalities
58	Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model Authors: Chunming He; Chengyu Fang; Yulun Zhang; Longxiang Tang; Jinfa Huang; Kai Li; Zhenhua Guo; Xiu Li; Sina Farsiu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Illumination degradation image restoration; Latent diffusion model; Retinex theory; audio; language; and other modalities
59	Retri3D: 3D Neural Graphics Representation Retrieval Authors: Yushi Guan; Daniel Kwan; Jean Sebastien Dandurand; Xi Yan; Ruofan Liang; Yuxuan Zhang; Nilesh Jain; Nilesh Ahuja; Selvakumar Panneer; Nandita Vijaykumar Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Neural Graphics Representation; 3D Retrieval; Database; audio; language; and other modalities
60	Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking Authors: Mattia Segu; Luigi Piccinelli; Siyuan Li; Yung-Hsu Yang; Luc Van Gool; Bernt Schiele Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Synchronized sequence modeling; multiple object tracking; audio; language; and other modalities
61	SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction Authors: Lu Dai; Yijie Xu; Jinhui Ye; Hao Liu; Hui Xiong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: information retrieval; metric; audio; language; and other modalities
62	Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement Authors: Haijin Zeng; Benteng Sun; Yongyong Chen; Jingyong Su; Yong Xu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Spectral compressive imaging; subspace; diffusion; fine-tune; audio; language; and other modalities
63	SplatFormer: Point Transformer for Robust 3D Gaussian Splatting Authors: Yutong Chen; Marko Mihajlovic; Xiyi Chen; Yiming Wang; Sergey Prokudin; Siyu Tang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Novel View Synthesis; Gaussian Splatting; Point cloud modeling; audio; language; and other modalities
64	UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization Authors: Peiwen Yuan; Shaoxiong Feng; Yiwei Li; Xinglin Wang; Yueqi Zhang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: evaluation; scalability; accuracy; convergence; audio; language; and other modalities
65	Union-over-Intersections: Object Detection beyond Winner-Takes-All Authors: Aritra Bhowmik; Pascal Mettes; Martin R. Oswald; 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: Spotlight Keywords: localization based feature representation; intersection over union; object detection.; audio; language; and other modalities
66	VLMaterial: Procedural Material Generation with Large Vision-Language Models Authors: Beichen Li; Rundi Wu; Armando Solar-Lezama; Changxi Zheng; Liang Shi; Bernd Bickel; Wojciech Matusik Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: generative model; procedural material; appearance modeling; audio; language; and other modalities
67	Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures Authors: Yuchen Duan; Weiyun Wang; Zhe Chen; Xizhou Zhu; Lewei Lu; Tong Lu; Yu Qiao; Hongsheng Li; Jifeng Dai; Wenhai Wang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: RWKV; Visual Perception; Linear Attention; audio; language; and other modalities
68	X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale Authors: Haoran Xu; Kenton Murray; Philipp Koehn; Hieu Hoang; Akiko Eriguchi; Huda Khayrallah Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Spotlight Keywords: Large Language Model; Machine Translation; Multilingual; audio; language; and other modalities
69	Benchmarking Predictive Coding Networks – Made Simple Authors: Luca Pinchetti; Chang Qi; Oleh Lokshyn; Cornelius Emde; Amine M'Charrak; Mufeng Tang; Simon Frieder; Bayar Menzat; Gaspard Oliviers; Rafal Bogacz; Thomas Lukasiewicz; Tommaso Salv… Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: cognitive science; predictive coding; computational neuroscience
70	Biologically Constrained Barrel Cortex Model Integrates Whisker Inputs and Replicates Key Brain Network Dynamics Authors: Tianfang Zhu; Dongli Hu; Jiandong Zhou; Kai Du; Anan LI Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: Barrel cortex; biophysical modeling; sensory-motor integration; recurrent spiking neural networks
71	CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations Authors: Noga Mudrik; Ryan Ly; Oliver Ruebel; Adam Shabti Charles Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: computational neuroscience; multi-regional brain interactions; sparsity; cross-session variability; dynamical systems modeling; neural dynamics; non-simultaneo…
72	Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies Authors: Hyuna Cho; Ziquan Wei; Seungjoo Lee; Tingting Dan; Guorong Wu; Won Hwa Kim Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: neurodegenerative disease; conditional diffusion model; longitudinal data analysis
73	Emergent Orientation Maps —— Mechanisms, Coding Efficiency and Robustness Authors: Haixin Zhong; Haoyu Wang; Wei P Dai; Yuchao Huang; Mingyi Huang; Rubin Wang; Anna Wang Roe; yuguo yu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: Vision; Energy Efficient Coding; Neural Network; Sensory Coding; Spiking Mechanisms
74	Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency Authors: Jiangrong Shen; Qi Xu; Gang Pan; Badong Chen Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: spiking neural networks
75	In vivo cell-type and brain region classification via multimodal contrastive learning Authors: Han Yu; Hanrui Lyu; YiXun Xu; Charlie Windolf; Eric Kenji Lee; Fan Yang; Andrew M Shelton; Olivier Winter; International Brain Laboratory; Eva L Dyer; Chandramouli Chandrasekaran;… Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: contrastive learning; electrophysiology; extracellular; multimodal; neuroscience; cell type; brain region; Neuropixels; deep learning
76	Meta-Dynamical State Space Models for Integrative Neural Data Analysis Authors: Ayesha Vermani; Josue Nassar; Hyungju Jeon; Matthew Dowling; Il Memming Park Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: neural dynamics; state-space model; meta learning
77	Multi-session, multi-task neural decoding from distinct cell-types and brain regions Authors: Mehdi Azabou; Krystal Xuejing Pan; Vinam Arora; Ian Jarratt Knight; Eva L Dyer; Blake Aaron Richards Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: neural population; multi-task; transformer; tokenization; two-photon calcium imaging; visual stimuli; cell types
78	NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics Authors: Ziyu Lu; Wuwei Zhang; Trung Le; Hao Wang; Uygar Sümbül; Eric Todd SheaBrown; Lu Mi Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: neuronal dynamics; dynamical connectivity; interpretability; attention mechanism; transformer
79	Nonlinear multiregion neural dynamics with parametric impulse response communication channels Authors: Matthew Dowling; Cristina Savin Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: neural dynamics; multiregion; variational inference
80	Probabilistic Geometric Principal Component Analysis with application to neural data Authors: Han-Lin Hsieh; Maryam Shanechi Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: geometry; nonlinear manifold; factor analysis; dimensionality reduction; neural population activity
81	Sparse components distinguish visual pathways & their alignment to neural networks Authors: Ammar I Marvi; Nancy Kanwisher; Meenakshi Khosla Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: visual representations; alignment; sparse decomposition; neural pathways; brain and machine vision
82	TopoNets: High performing vision and language models with brain-like topography Authors: Mayukh Deb; Mainak Deb; Apurva Ratan Murty Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Spotlight Keywords: topography; neuro-inspired; convolutional neural networks; Transformers; visual cortex; neuroscience
83	A Periodic Bayesian Flow for Material Generation Authors: Hanlin Wu; Yuxuan Song; Jingjing Gong; Ziyao Cao; Yawen Ouyang; Jianbing Zhang; Hao Zhou; Wei-Ying Ma; Jingjing Liu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Crystal Generation; Bayesian Flow Networks; Crystal Structure Prediction; chemistry; biology; etc.)
84	AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies Authors: Jian Gao; Weidong Cao; Junyi Yang; Xuan Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Circuit Generation; Application of Generative Models; Electronic Design Automation; chemistry; biology; etc.)
85	Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Authors: Alan Nawzad Amin; Nate Gruver; Yilun Kuang; Yucen Lily Li; Hunter Elliott; Calvin McCarter; Aniruddh Raghu; Peyton Greenside; Andrew Gordon Wilson Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Bayesian optimization; generative model; antibody; biological sequence; chemistry; biology; etc.)
86	Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions Authors: Xiaoran Jiao; Weian Mao; Wengong Jin; Peiyuan Yang; Hao Chen; Chunhua Shen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Mutational Effects; Protein-Protein Interactions; chemistry; biology; etc.)
87	ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks Authors: Qiang Liu; Mengyu Chu; Nils Thuerey Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Physics Informed Neural Networks; Multi-task learning; Conflicting gradients; chemistry; biology; etc.)
88	Deep Learning Alternatives Of The Kolmogorov Superposition Theorem Authors: Leonardo Ferreira Guilhoto; Paris Perdikaris Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Kolmogorov-Arnold Representation Theorem; Function Approximation; Physics Informed Neural Networks; AI4Science; chemistry; biology; etc.)
89	Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems Authors: Yunyang Li; Zaishuo Xia; Lin Huang; Xinran Wei; Samuel Harshe; Han Yang; Erpai Luo; Zun Wang; Jia Zhang; Chang Liu; Bin Shao; Mark Gerstein Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: AI for Science; Quantum Chemistry; EGNN; chemistry; biology; etc.)
90	LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models Authors: Hantao Zhang; Yuhe Liu; Jiancheng Yang; Shouhong Wan; Xinyuan Wang; Wei Peng; Pascal Fua Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: data synthesis; diffusion models; cardiac MRI; lung nodule CT; segmentation; chemistry; biology; etc.)
91	Learning Equivariant Non-Local Electron Density Functionals Authors: Nicholas Gao; Eike Eberhard; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Density Functional Theory; DFT; Functional; Exchange Correlation; XC; Equivariance; Graph Neural Network; Electron Density; Kohn-Sham DFT; chemistry; biology;…
92	Learning local equivariant representations for quantum operators Authors: Zhanghao Zhouyin; Zixi Gan; Shishir Kumar Pandey; Linfeng Zhang; Qiangqiang Gu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Density Functional Theory; Local Graph Neural Network; Equivariant Neural Network; chemistry; biology; etc.)
93	MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds Authors: Leon Hetzel; Johanna Sommer; Bastian Rieck; Fabian J Theis; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: graph generative models; 2d molecules; chemistry; biology; etc.)
94	MorphoDiff: Cellular Morphology Painting with Diffusion Models Authors: Zeinab Navidi; Jun Ma; Esteban Miglietta; Le Liu; Anne E Carpenter; Beth A Cimini; Benjamin Haibe-Kains; BO WANG Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Generative Modelling; Latent Diffusion Model; Cell Painting; Morphology; Drug Response Prediction; Cellular Phenotype; Machine Learning; chemistry; biology; et…
95	OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents Authors: Zhaolin Hu; Yixiao Zhou; Zhongan Wang; Xin Li; Weimin Yang; Hehe Fan; Yi Yang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Keywords: Large Language Model; OSDA; Zeolite; Molecular Design; chemistry; biology; etc.)
96	PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems Authors: Bocheng Zeng; Qi Wang; Mengtao Yan; Yang Liu; Ruizhi Chengze; Yi Zhang; Hongsheng Liu; Zidong Wang; Hao Sun Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Physics-encoded; Spatiotemporal PDEs; Graph Network; Deep Learning; chemistry; biology; etc.)
97	Physics-aligned field reconstruction with diffusion bridge Authors: Zeyu Li; Hongkun Dou; Shen Fang; Wang Han; Yue Deng; Lijun Yang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Fluid dynamics; diffusion models; super-resolution; chemistry; biology; etc.)
98	RESuM: A Rare Event Surrogate Model for Physics Detector Design Authors: Ann-Kathrin Schuetz; A.W.P. Poon; Aobo Li Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: surrogate model; simulation; rare event search; AI4Sci; AI for physics; conditional neural process; Bayesian methods; emulator; Multi-Fidelity Gaussian Process…
99	Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics Authors: Josiah C Kratz; Jacob Adamczyk Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: optimal drug dosing; fractional differential equations; reinforcement learning; control theory; chemistry; biology; etc.)
100	SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints Authors: Miruna Cretu; Charles Harris; Ilia Igashov; Arne Schneuing; Marwin Segler; Bruno Correia; Julien Roy; Emmanuel Bengio; Pietro Lio Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: GFlowNets; de novo molecular generation; synthesizable molecular design; chemistry; biology; etc.)
101	UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery Authors: Ruifeng Li; Mingqian Li; Wei Liu; Yuhua Zhou; Xiangxin Zhou; Yuan Yao; Qiang Zhang; Hongyang Chen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: Few-shot molecular representation learning; maching learning; chemistry; biology; etc.)
102	gRNAde: Geometric Deep Learning for 3D RNA inverse design Authors: Chaitanya K. Joshi; Arian Rokkum Jamasb; Ramon Viñas Torné; Charles Harris; Simon V Mathis; Alex Morehead; Rishabh Anand; Pietro Lio Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Spotlight Keywords: RNA Structure; RNA Design; Geometric Deep Learning; Graph Neural Networks; chemistry; biology; etc.)
103	AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations Authors: Pei Zhou; Ruizhe Liu; Qian Luo; Fan Wang; Yibing Song; Yanchao Yang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: Self-Supervised Manipulation Concept Discovery; Concept-Guided Policy for Robotic Tasks; autonomy; planning
104	DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo Authors: Junzhe Zhu; Yuanchen Ju; Junyi Zhang; Muhan Wang; Zhecheng Yuan; Kaizhe Hu; Huazhe Xu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: robotics; correspondence; computer vision; 3D vision; autonomy; planning
105	Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Model Using Implicit Feedback from Pre-training Demonstrations Authors: Thomas Tian; Kratarth Goel Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: Efficient Post-training Preference Alignment; Alignment from demonstrations; Multi-agent Motion Generation; autonomy; planning
106	DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes Authors: Hengwei Bian; Lingdong Kong; Haozhe Xie; Liang Pan; Yu Qiao; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: LiDAR Generation; Dynamic Scenes; 4D Generation; autonomy; planning
107	Following the Human Thread in Social Navigation Authors: Luca Scofano; Alessio Sampieri; Tommaso Campari; Valentino Sacco; Indro Spinelli; Lamberto Ballan; Fabio Galasso Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: Embodied AI; Social Navigation; Human Trajectories; autonomy; planning
108	Generating Freeform Endoskeletal Robots Authors: Muhan Li; Lingji Kong; Sam Kriegman Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: co-design; agent design; robots; morphology; evolution; locomotion; autonomy; planning
109	Grounding Video Models to Actions through Goal Conditioned Exploration Authors: Yunhao Luo; Yilun Du Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: Embodied AI; Decision Making; Robotics; Video Model; autonomy; planning
110	Multi-Robot Motion Planning with Diffusion Models Authors: Yorai Shaoul; Itamar Mishani; Shivam Vats; Jiaoyang Li; Maxim Likhachev Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: Multi-Agent Planning; Robotics; Generative Models; autonomy; planning
111	OmniRe: Omni Urban Scene Reconstruction Authors: Ziyu Chen; Jiawei Yang; Jiahui Huang; Riccardo de Lutio; Janick Martinez Esturo; Boris Ivanovic; Or Litany; Zan Gojcic; Sanja Fidler; Marco Pavone; Li Song; Yue Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: Gaussians Splatting; Neural Rendering; Dynamic Scene Reconstruction; Autonomous Driving; autonomy; planning
112	SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks Authors: Yijie Guo; Bingjie Tang; Iretiayo Akinola; Dieter Fox; Abhishek Gupta; Yashraj Narang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: Robotic Assembly Tasks; Skill Retrieval; Skill Adaptation; Sim-to-real Transfer; Reinforcement Learning Fine-tuning; autonomy; planning
113	Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion Authors: Kaizhe Hu; Zihang Rui; Yao He; Yuyao Liu; Pu Hua; Huazhe Xu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: Robotics; Imitation Learning; Visual Imitation Learning; Robustness; Diffusion Model; Diffusion Inversion; autonomy; planning
114	Vision Language Models are In-Context Value Learners Authors: Yecheng Jason Ma; Joey Hejna; Chuyuan Fu; Dhruv Shah; Jacky Liang; Zhuo Xu; Sean Kirmani; Peng Xu; Danny Driess; Ted Xiao; Osbert Bastani; Dinesh Jayaraman; Wenhao Yu; Tingnan Zha… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Spotlight Keywords: robot learning; vision-language model; value estimation; manipulation; autonomy; planning
115	Counterfactual Realizability Authors: Arvind Raghavan; Elias Bareinboim Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Spotlight Keywords: causal inference; experiment design; causal reinforcement learning; counterfactual reasoning
116	Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning Authors: Patrik Reizinger; Siyuan Guo; Ferenc Huszár; Bernhard Schölkopf; Wieland Brendel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Spotlight Keywords: causality; ICA; identifiability; causal representation learning
117	Linear SCM Identification in the Presence of Confounders and Gaussian Noise Authors: Vahideh Sanjaroonpouri; Pouria Ramazi Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Spotlight Keywords: identifiability; SCM; causal discovery; linear SCM; confounder
118	Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Authors: Georg Manten; Cecilia Casolo; Emilio Ferrucci; Søren Wengel Mogensen; Cristopher Salvi; Niki Kilbertus Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Spotlight Keywords: causality; dynamical systems; stochastic processes; causal discovery; signature kernel
119	Systems with Switching Causal Relations: A Meta-Causal Perspective Authors: Moritz Willig; Tim Tobiasch; Florian Peter Busch; Jonas Seng; Devendra Singh Dhami; Kristian Kersting Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Spotlight Keywords: Meta-Causality; Meta-Causal Reasoning; Agent Behavior; System Dynamics
120	AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories Authors: Yi Zeng; Yu Yang; Andy Zhou; Jeffrey Ziwei Tan; Yuheng Tu; Yifan Mai; Kevin Klyman; Minzhou Pan; Ruoxi Jia; Dawn Song; Percy Liang; Bo Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: AI Safety; Regulation; Policy; Safety Alignment; Foundation Models
121	BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval Authors: Hongjin SU; Howard Yen; Mengzhou Xia; Weijia Shi; Niklas Muennighoff; Han-yu Wang; Liu Haisu; Quan Shi; Zachary S Siegel; Michael Tang; Ruoxi Sun; Jinsung Yoon; Sercan O Arik; Dan… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Retrieval benchmark; Reasoning
122	BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics Authors: Lukas Rauch; Raphael Schwinger; Moritz Wirth; René Heinrich; Denis Huseljic; Marek Herde; Jonas Lange; Stefan Kahl; Bernhard Sick; Sven Tomforde; Christoph Scholz Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: audio classification; multi-label; dataset collection; bioacoustics
123	CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph Authors: Haitao Lin; Guojiang Zhao; Odin Zhang; Yufei Huang; Lirong Wu; Cheng Tan; Zicheng Liu; Zhifeng Gao; Stan Z. Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Molecule Generation Benchmark; Target-Aware Drug Design; Generative Model
124	CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Authors: Song Wang; Peng Wang; Tong Zhou; Yushun Dong; Zhen Tan; Jundong Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Fairness; Bias; Benchmark; Large Language Models
125	CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series Authors: Gideon Stein; Maha Shadaydeh; Jan Blunk; Niklas Penzel; Joachim Denzler Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Causal Discovery; Benchmarking; Time-series
126	Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images Authors: Canfer Akbulut; Kevin Robinson; Maribeth Rauh; Isabela Albuquerque; Olivia Wiles; Laura Weidinger; Verena Rieser; Yana Hasson; Nahema Marchal; Iason Gabriel; William Isaac; Lisa A… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: historical; contextualisation; image; dataset; multimodal; VLM; evaluation
127	DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life Authors: Yu Ying Chiu; Liwei Jiang; Yejin Choi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: language model; moral dilemma; model alignment; machine ethics; value alignment
128	FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs Authors: Zhiting Fan; Ruizhe Chen; Tianxiang Hu; Zuozhu Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Fairness; Benchmark; Large language model
129	IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning Authors: Jiawen Qin; Haonan Yuan; Qingyun Sun; Lyujin Xu; Jiaqi Yuan; Pengfeng Huang; Zhaonan Wang; Xingcheng Fu; Hao Peng; Jianxin Li; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: imbalanced graph learning; graph class-imbalance; graph topology-imbalance; comprehensive benchmark
130	INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge Authors: Angelika Romanou; Negar Foroutan; Anna Sotnikova; Sree Harsha Nelaturu; Shivalika Singh; Rishabh Maheshwary; Micol Altomare; Zeming Chen; Mohamed A. Haggag; Snegha A; Alfonso Amay… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: evaluation; multilinguality; large language models
131	ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences Authors: Yuxin Wang; Xiaomeng Zhu; Weimin Lyu; Saeed Hassanpour; Soroush Vosoughi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: implicit language; pragmatics; learnable metric; text evaluation; automatic evaluation; explicit language
132	Imputation for prediction: beware of diminishing returns. Authors: Marine Le Morvan; Gael Varoquaux Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: imputation; missing
133	Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment Authors: Dongping Chen; Ruoxi Chen; Shu Pu; Zhaoyi Liu; Yanru Wu; Caixi Chen; Benlin Liu; Yue Huang; Yao Wan; Pan Zhou; Ranjay Krishna Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Interleaved Text-and-Image Generation; Generative Models; Multimodal Large Language Model; Scene Graphs; Automatic Evaluation; Benchmark
134	InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences Authors: Hongkai Zheng; Wenda Chu; Bingliang Zhang; Zihui Wu; Austin Wang; Berthy Feng; Caifeng Zou; Yu Sun; Nikola Borislavov Kovachki; Zachary E Ross; Katherine Bouman; Yisong Yue Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: inverse problem; benchmark; diffusion model
135	LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models Authors: Junyan Ye; Baichuan Zhou; Zilong Huang; Junan Zhang; Tianyi Bai; Hengrui Kang; Jun He; Honglin Lin; Zihao Wang; Tong Wu; Zhizheng Wu; Yiping Chen; Dahua Lin; Conghui He; Weijia Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: LMMs；Deepfake；Multimodality
136	MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark Authors: S Sakshi; Utkarsh Tyagi; Sonal Kumar; Ashish Seth; Ramaneswaran Selvakumar; Oriol Nieto; Ramani Duraiswami; Sreyan Ghosh; Dinesh Manocha Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Benchmark; Audio Language Models; Complex Reasoning
137	MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations Authors: Shaochen Zhong; Yifan Lu; Lize Shao; Bhargav Bhushanam; Xiaocong Du; Yixin Wan; Yucheng Shi; Daochen Zha; Yiwei Wang; Ninghao Liu; Kaixiong Zhou; Shuai Xu; Kai-Wei Chang; Louis Fe… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: knowledge edit; model edit; multi-hop; question answering; natural language processing; dataset audit
138	MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility Authors: Wayne Wu; Honglin He; Jack He; Yiran Wang; Chenda Duan; Zhizheng Liu; Quanyi Li; Bolei Zhou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Embodied AI; Simulation; Micromobility
139	MixEval-X: Any-to-any Evaluations from Real-world Data Mixture Authors: Jinjie Ni; Yifan Song; Deepanway Ghosal; Bo Li; David Junhao Zhang; Xiang Yue; Fuzhao Xue; Yuntian Deng; Zian Zheng; Kaichen Zhang; Mahir Shah; Kabir Jain; Yang You; Michael Shieh Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Evaluation; Multi-modal Evaluation; Benchmark; Multi-modal Benchmark; Any-to-any; MixEval; Real-world; Data Mixture; Artificial General Intelligence; AGI
140	OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text Authors: Qingyun Li; Zhe Chen; Weiyun Wang; Wenhai Wang; Shenglong Ye; Zhenjiang Jin; Guanzhou Chen; Yinan He; Zhangwei Gao; Erfei Cui; Jiashuo Yu; Hao Tian; Jiasheng Zhou; Chao Xu; Bin Wa… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Image-text interleaved dataset
141	PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance Authors: Qijun Gan; Song Wang; Shengtao Wu; Jianke Zhu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Hand pose estimation; piano music; motion generation
142	Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating Authors: Olivia Wiles; Chuhan Zhang; Isabela Albuquerque; Ivana Kajic; Su Wang; Emanuele Bugliarello; Yasumasa Onoe; Pinelopi Papalampidi; Ira Ktena; Christopher Knutsen; Cyrus Rashtchian;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: text-to-image evaluation; text-to-image alignment; human evaluation
143	SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION Authors: Jingxuan Chen; Derek Yuen; Bin Xie; Yuhao Yang; Gongwei Chen; Zhihao Wu; Li Yixing; Xurui Zhou; Weiwen Liu; Shuai Wang; Kaiwen Zhou; Rui Shao; Liqiang Nie; Yasheng Wang; Jianye HA… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: AI Agent; LLM; MLLM; Benchmark; Smartphone Control
144	SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding Authors: Zhenyu Yang; Yuhang Hu; Zemin Du; Dizhan Xue; Shengsheng Qian; Jiahong Wu; Fan Yang; Weiming Dong; Changsheng Xu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Multimodal large language model; Streaming video analysis; Video understanding
145	TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks Authors: Ivan Rubachev; Nikolay Kartashev; Yury Gorishniy; Artem Babenko Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: Tabular Data; Benchmarks; Reality Check; Tabular Deep Learning; Applications
146	WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild Authors: Bill Yuchen Lin; Yuntian Deng; Khyathi Chandu; Abhilasha Ravichander; Valentina Pyatkin; Nouha Dziri; Ronan Le Bras; Yejin Choi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: LLM; Evaluation; Benchmarking
147	ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish Authors: Jan-Matthis Lueckmann; Alexander Immer; Alex Bo-Yuan Chen; Peter H. Li; Mariela D Petkova; Nirmala A Iyer; Luuk Willem Hesselink; Aparna Dev; Gudrun Ihrke; Woohyun Park; Alyson Pe… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Spotlight Keywords: neuroscience; zebrafish; forecasting; benchmark; timeseries; lightsheet microscopy; calcium imaging
148	Active Task Disambiguation with LLMs Authors: Kasia Kobalczyk; Nicolás Astorga; Tennison Liu; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Task Ambiguity; Bayesian Experimental Design; Large Language Models; Active Learning; including LLMs
149	Advantage-Guided Distillation for Preference Alignment in Small Language Models Authors: Shiping Gao; Fanqi Wan; Jiajian Guo; Xiaojun Quan; Qifan Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Preference Alignment; Large language model; Knowledge Distillation; Advantage Function; including LLMs
150	AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials Authors: Yiheng Xu; Dunjie Lu; Zhennan Shen; Junli Wang; Zekun Wang; Yuchen Mao; Caiming Xiong; Tao Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Data Synthesis; GUI Agent; Large Language Model; including LLMs
151	Better Instruction-Following Through Minimum Bayes Risk Authors: Ian Wu; Patrick Fernandes; Amanda Bertsch; Seungone Kim; Sina Khoshfetrat Pakazad; Graham Neubig Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: LLM; instruction-following; test time compute; decoding; MBR; minimal bayes risk; LLM judges; self-improvement; including LLMs
152	Better autoregressive regression with LLMs via regression-aware fine-tuning Authors: Michal Lukasik; Zhao Meng; Harikrishna Narasimhan; Yin-Wen Chang; Aditya Krishna Menon; Felix Yu; Sanjiv Kumar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: regression; LLMs; including LLMs
153	Beyond Next Token Prediction: Patch-Level Training for Large Language Models Authors: Chenze Shao; Fandong Meng; Jie Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: large language models; patch-level training; including LLMs
154	Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space Authors: Zhiliang Chen; Xinyuan Niu; Chuan-Sheng Foo; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Multi-turn Conversation Planning; Multi-turn LLM Optimization; MCTS; Semantic Space; including LLMs
155	Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? Authors: Seth Aycock; David Stap; Di Wu; Christof Monz; Khalil Sima'an Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: llms; translation; low-resource; grammar; long-context; linguistics; including LLMs
156	Can Large Language Models Understand Symbolic Graphics Programs? Authors: Zeju Qiu; Weiyang Liu; Haiwen Feng; Zhen Liu; Tim Z. Xiao; Katherine M. Collins; Joshua B. Tenenbaum; Adrian Weller; Michael J. Black; Bernhard Schölkopf Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Large Language Models; Symbolic Graphics Programs; including LLMs
157	DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback Authors: Zaid Khan; 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: Spotlight Keywords: iterative data generation; llm agent; lifelong learning; including LLMs
158	DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model Authors: Yi Liu; Changran XU; Yunhao Zhou; Zeju Li; Qiang Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Large Language Model; Program Representation Learning; Verilog Understanding and Generation; including LLMs
159	Demystifying the Token Dynamics of Deep Selective State Space Models Authors: Thieu Vo; Duy-Tung Pham; Xin T. Tong; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Selective state-space model; continuous-time limit; dynamical system; asymptotic behavior; token reordering; including LLMs
160	Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders Authors: Min Shi; Fuxiao Liu; Shihao Wang; Shijia Liao; Subhashree Radhakrishnan; Yilin Zhao; De-An Huang; Hongxu Yin; Karan Sapra; Yaser Yacoob; Humphrey Shi; Bryan Catanzaro; Andrew Tao;… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: LLM; Vision-Language Model; Vision-Centric Multimodal LLM; including LLMs
161	Fine-tuning with Reserved Majority for Noise Reduction 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: Spotlight Keywords: large language models; parameter redundancy fine-tuning; noisy reduction; including LLMs
162	Harnessing Diversity for Important Data Selection in Pretraining Large Language Models Authors: Chi Zhang; Huaping Zhong; Kuan Zhang; Chengliang Chai; Rui Wang; Xinlin Zhuang; Tianyi Bai; Qiu Jiantao; Lei Cao; Ju Fan; Ye Yuan; Guoren Wang; Conghui He Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: LLMs; data selection; influence function; diversity; including LLMs
163	Hymba: A Hybrid-head Architecture for Small Language Models Authors: Xin Dong; Yonggan Fu; Shizhe Diao; Wonmin Byeon; ZIJIA CHEN; Ameya Sunil Mahabaleshwarkar; Shih-Yang Liu; Matthijs Van keirsbilck; Min-Hung Chen; Yoshi Suhara; Yingyan Celine Lin;… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: hybrid model; language model; including LLMs
164	In Search of Forgotten Domain Generalization Authors: Prasanna Mayilvahanan; Roland S. Zimmermann; Thaddäus Wiedemer; Evgenia Rusak; Attila Juhos; Matthias Bethge; Wieland Brendel Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Out-of-Distribution Robustness; OOD generalization; Out-of-Domain Robustness; Evaluation; including LLMs
165	Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment Authors: Chenliang Li; Siliang Zeng; Zeyi Liao; Jiaxiang Li; Dongyeop Kang; Alfredo Garcia; Mingyi Hong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Alignment; Inverse Reinforcement Learning; Reinforment Learning from Human Feedback; including LLMs
166	LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models Authors: Feng Li; Renrui Zhang; Hao Zhang; Yuanhan Zhang; Bo Li; Wei Li; Zejun MA; Chunyuan Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: large language model; multimodal learning; interleaved image-text; including LLMs
167	Lightweight Neural App Control Authors: Filippos Christianos; Georgios Papoudakis; Thomas Coste; Jianye HAO; Jun Wang; Kun Shao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: vision-language model; multi-modal; android control; app agent; including LLMs
168	LiveBench: A Challenging, Contamination-Limited LLM Benchmark Authors: Colin White; Samuel Dooley; Manley Roberts; Arka Pal; Benjamin Feuer; Siddhartha Jain; Ravid Shwartz-Ziv; Neel Jain; Khalid Saifullah; Sreemanti Dey; Shubh-Agrawal; Sandeep Singh… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: large language models; benchmark; including LLMs
169	LoRA-Pro: Are Low-Rank Adapters Properly Optimized? 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: Spotlight Keywords: Parameter Efficient Fine-Tuning; Large Language Models; Low-Rank Adaptation; including LLMs
170	LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models Authors: Ziqi Lu; Heng Yang; Danfei Xu; Boyi Li; Boris Ivanovic; Marco Pavone; Yue Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: 3D foundation model; model specialization; robust optimization; low rank adaptation; self-supervised learning; including LLMs
171	MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code Authors: Zimu Lu; Aojun Zhou; Ke Wang; Houxing Ren; Weikang Shi; Junting Pan; Mingjie Zhan; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: large language model; mathematical reasoning; continued pretraining; including LLMs
172	Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models Authors: Jingyang Zhang; Jingwei Sun; Eric Yeats; Yang Ouyang; Martin Kuo; Jianyi Zhang; Hao Frank Yang; Hai Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: pre-training data detection; large language model; including LLMs
173	Mixture-of-Agents Enhances Large Language Model Capabilities Authors: Junlin Wang; Jue WANG; Ben Athiwaratkun; Ce Zhang; James Zou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Multi-Agent Inference; Large Language Model; including LLMs
174	Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits Authors: Ashish J Khisti; MohammadReza Ebrahimi; Hassan Dbouk; Arash Behboodi; Roland Memisevic; Christos Louizos Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: speculative decoding; multi draft speculative sampling; large language models; weighted importance sampling; optimal transport; including LLMs
175	NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Authors: Chankyu Lee; Rajarshi Roy; Mengyao Xu; Jonathan Raiman; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: LLM; embedding model; retriever; including LLMs
176	No Need to Talk: Asynchronous Mixture of Language Models Authors: Anastasiia Filippova; Angelos Katharopoulos; David Grangier; Ronan Collobert Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: language models; distributed learning; divide and conquer; efficient inference; including LLMs
177	OS-ATLAS: Foundation Action Model for Generalist GUI Agents Authors: Zhiyong Wu; Zhenyu Wu; Fangzhi Xu; Yian Wang; Qiushi Sun; Chengyou Jia; Kanzhi Cheng; Zichen Ding; Liheng Chen; Paul Pu Liang; Yu Qiao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: GUI agent; language agent; GUI grounding; executable language grounding; including LLMs
178	Online Preference Alignment for Language Models via Count-based Exploration Authors: Chenjia Bai; Yang Zhang; Shuang Qiu; Qiaosheng Zhang; Kang Xu; Xuelong Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Reinforcement Learning from Human Feedback; RLHF; Preference Alignment; Exploration; LLMs; including LLMs
179	PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training Authors: Cong Chen; Mingyu Liu; Chenchen Jing; Yizhou Zhou; Fengyun Rao; Hao Chen; Bo Zhang; Chunhua Shen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Multi-Modal Large Language Models; Hallucinations Mitigation; Hallucinations Evaluation; Language Model Priors; including LLMs
180	Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws Authors: Zeyuan Allen-Zhu; Yuanzhi Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: scaling laws; knowledge capacity; language models; including LLMs
181	Planning in Natural Language Improves LLM Search for Code Generation Authors: Evan Z Wang; Federico Cassano; Catherine Wu; Yunfeng Bai; William Song; Vaskar Nath; Ziwen Han; Sean M. Hendryx; Summer Yue; Hugh Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: LLM; search; inference-time compute; competitive programming; reasoning; code generation; pass@k; diversity; including LLMs
182	Preference Optimization for Reasoning with Pseudo Feedback Authors: Fangkai Jiao; Geyang Guo; Xingxing Zhang; Nancy F. Chen; Shafiq Joty; Furu Wei Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Large Language Model; Code Generation; Natural Language Reasoning; Reinforcement Learning; including LLMs
183	RegMix: Data Mixture as Regression for Language Model Pre-training Authors: Qian Liu; Xiaosen Zheng; Niklas Muennighoff; Guangtao Zeng; Longxu Dou; Tianyu Pang; Jing Jiang; Min Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: language model pre-training; data mixture; regression; including LLMs
184	Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning Authors: Amrith Setlur; Chirag Nagpal; Adam Fisch; Xinyang Geng; Jacob Eisenstein; Rishabh Agarwal; Alekh Agarwal; Jonathan Berant; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: LLM; Math Reasoning; Process Supervision; Reward Models; RL; Search; including LLMs
185	Robust Function-Calling for On-Device Language Model via Function Masking Authors: Qiqiang Lin; Muning Wen; Qiuying Peng; Guanyu Nie; Junwei Liao; Jun Wang; Xiaoyun Mo; Jiamu Zhou; Cheng Cheng; Yin Zhao; Jun Wang; Weinan Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: language models; function-calling; mobile assistant; tool-using; including LLMs
186	Surprising Effectiveness of pretraining Ternary Language Model at Scale Authors: Ayush Kaushal; Tejas Vaidhya; Arnab Kumar Mondal; Tejas Pandey; Aaryan Bhagat; Irina Rish Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Large Language Models; low-bit language models; quantization-aware training; pretraining of large language models; and scaling laws; including LLMs
187	Tell me about yourself: LLMs are aware of their learned behaviors Authors: Jan Betley; Xuchan Bao; Martín Soto; Anna Sztyber-Betley; James Chua; Owain Evans Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: NLP; LLM; GPT; generalization; out-of-context reasoning; capabilities; fine-tuning; self-awareness; self-knowledge; including LLMs
188	ThinK: Thinner Key Cache by Query-Driven Pruning Authors: Yuhui Xu; Zhanming Jie; Hanze Dong; Lei Wang; Xudong Lu; Aojun Zhou; Amrita Saha; Caiming Xiong; Doyen Sahoo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Large Language Models; KV Cache Compression; KV Cache Pruning; including LLMs
189	Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Authors: Xiaoming Shi; Shiyu Wang; Yuqi Nie; Dianqi Li; Zhou Ye; Qingsong Wen; Ming Jin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: time series; foundation model; forecasting; including LLMs
190	TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters Authors: Haiyang Wang; Yue Fan; Muhammad Ferjad Naeem; Yongqin Xian; Jan Eric Lenssen; Liwei Wang; Federico Tombari; Bernt Schiele Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Fully Attention-based Neural Network; Large Language Model; Model Scaling; Tokenized Model Parameters; including LLMs
191	Training-Free Activation Sparsity in Large Language Models Authors: James Liu; Pragaash Ponnusamy; Tianle Cai; Han Guo; Yoon Kim; Ben Athiwaratkun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Large Language Models; Activation Sparsity; Efficiency; including LLMs
192	Uncovering Overfitting in Large Language Model Editing Authors: Mengqi Zhang; Xiaotian Ye; Qiang Liu; Shu Wu; Pengjie Ren; Zhumin Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Large language models; Knowledge editing; Editing overfit; including LLMs
193	When Attention Sink Emerges in Language Models: An Empirical View Authors: Xiangming Gu; Tianyu Pang; Chao Du; Qian Liu; Fengzhuo Zhang; Cunxiao Du; Ye Wang; Min Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: Attention Sink; Language Models; Empirical Study; including LLMs
194	u-$\mu$P: The Unit-Scaled Maximal Update Parametrization Authors: Charlie Blake; Constantin Eichenberg; Josef Dean; Lukas Balles; Luke Yuri Prince; Björn Deiseroth; Andres Felipe Cruz-Salinas; Carlo Luschi; Samuel Weinbach; Douglas Orr Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Spotlight Keywords: maximal update parametrization; learning dynamics; hyperparameter transfer; efficiency; training; stability; scaling; numerics; fp8; low precision; including L…
195	3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation Authors: Dewei Zhou; Ji Xie; Zongxin Yang; Yi Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Image Generation; Diffusion Models
196	4K4DGen: Panoramic 4D Generation at 4K Resolution Authors: Renjie Li; Panwang Pan; Bangbang Yang; Dejia Xu; Shijie Zhou; Xuanyang Zhang; Zeming Li; Achuta Kadambi; Zhangyang Wang; Zhengzhong Tu; Zhiwen Fan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: 4D Generation; Panoramic Video; Panoramic Gaussian Splatting
197	A Geometric Framework for Understanding Memorization in Generative Models Authors: Brendan Leigh Ross; Hamidreza Kamkari; Tongzi Wu; Rasa Hosseinzadeh; Zhaoyan Liu; George Stein; Jesse C. Cresswell; Gabriel Loaiza-Ganem Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: deep generative modelling; generative models; memorization; data copying; privacy; diffusion; diffusion models; GANs; manifold hypothesis; local intrinsic dime…
198	Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control Authors: Carles Domingo-Enrich; Michal Drozdzal; Brian Karrer; Ricky T. Q. Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Reward fine-tuning; stochastic optimal control; flow matching; diffusion models; RLHF; adjoint method
199	Anti-Exposure Bias in Diffusion Models Authors: Junyu Zhang; Daochang Liu; Eunbyung Park; Shichao Zhang; Chang Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Diffusion Models; Exposure Bias; Prompt Learning; Sampling Trajectory
200	Atlas Gaussians Diffusion for 3D Generation Authors: Haitao Yang; Yuan Dong; Hanwen Jiang; Dejia Xu; Georgios Pavlakos; Qixing Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: 3D generation; diffusion; 3D Gaussian Splatting
201	Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks Authors: Rui Hu; Yifan Zhang; Zhuoran Li; Longbo Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: GFlowNet; Generative Models; f-Divergence; Loss Function
202	CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation Authors: Nikolai Kalischek; Michael Oechsle; Fabian Manhardt; Philipp Henzler; Konrad Schindler; Federico Tombari Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: panorama generation; diffusion; multi-view
203	DiffPuter: Empowering Diffusion Models for Missing Data Imputation Authors: Hengrui Zhang; Liancheng Fang; Qitian Wu; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Diffusion models; missing data imputation
204	Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Authors: Jinxu Lin; Linwei Tao; Minjing Dong; Chang Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Diffusion Model; Data Attribution; Training Data Influence
205	Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Authors: Yeongmin Kim; Kwanghyeon Lee; Minsang Park; Byeonghu Na; Il-chul Moon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Diffusion Model; Represenation Learning; Autoencoders
206	Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance Authors: Xu Shifeng; Yanzhu Liu; Adams Wai-Kin Kong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Rectified Flow Models; Training; Easing; Distance-Aware Noise-Sample Matching; DANSM
207	Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds Authors: Shuangqi Li; Hieu Le; Jingyi Xu; Mathieu Salzmann Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Diffusion models; text-to-image generation
208	Fast Uncovering of Protein Sequence Diversity from Structure Authors: luca alessandro silva; Barthelemy Meynard-Piganeau; Carlo Lucibello; Christoph Feinauer Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Protein design; inverse folding; generative modelling; transfer learning
209	Learning Spatiotemporal Dynamical Systems from Point Process Observations Authors: Valerii Iakovlev; Harri Lähdesmäki Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: dynamics; spatiotemporal; PDE; ODE
210	Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation Authors: Peng Gao; Le Zhuo; Dongyang Liu; Ruoyi Du; Xu Luo; Longtian Qiu; Yuhang Zhang; Rongjie Huang; Shijie Geng; Renrui Zhang; Junlin Xie; Wenqi Shao; Zhengkai Jiang; Tianshuo Yang; Wei… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Generative Models; Text-to-Image Generation; Diffusion Models; Flow Matching
211	MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers Authors: Ao Li; Wei Fang; Hongbo Zhao; Le Lu; Ge Yang; Minfeng Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Fast Sampler; Mean Reverting Diffusion
212	MagicPIG: LSH Sampling for Efficient LLM Generation Authors: Zhuoming Chen; Ranajoy Sadhukhan; Zihao Ye; Yang Zhou; Jianyu Zhang; Niklas Nolte; Yuandong Tian; Matthijs Douze; Leon Bottou; Zhihao Jia; Beidi Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: locality sensitive hashing; randomized algorithms; llm inference; kv cache
213	One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Authors: Tao Liu; Kai Wang; Senmao Li; Joost van de Weijer; Fahad Shahbaz Khan; Shiqi Yang; Yaxing Wang; Jian Yang; Ming-Ming Cheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: diffusion model; consistent T2I image generation; storytelling
214	Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model Authors: Keda TAO; Jinjin Gu; Yulun Zhang; Xiucheng Wang; Nan Cheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Face image restoration; diffusion model
215	PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction Authors: Shangyu Chen; Zizheng Pan; Jianfei Cai; Dinh Phung Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Text-to-Image diffusion model; Diffusion model fine-tuning
216	Perm: A Parametric Representation for Multi-Style 3D Hair Modeling Authors: Chengan He; Xin Sun; Zhixin Shu; Fujun Luan; Soren Pirk; Jorge Alejandro Amador Herrera; Dominik Michels; Tuanfeng Yang Wang; Meng Zhang; Holly Rushmeier; Yi Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Hair Modeling; Parametric Models; Generative Models
217	Progressive Compositionality in Text-to-Image Generative Models Authors: Xu Han; Linghao Jin; Xiaofeng Liu; Paul Pu Liang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: compositional text-to-image generation; contrastive learning; compositional understanding; T2I generation
218	Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance Authors: Dongmin Park; Sebin Kim; Taehong Moon; Minkyu Kim; Kangwook Lee; Jaewoong Cho Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Text-to-image; Diffusion; Large Language Models
219	Regularization by Texts for Latent Diffusion Inverse Solvers Authors: Jeongsol Kim; Geon Yeong Park; Hyungjin Chung; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Inverse problem; Text regularization; Diffusion model
220	Representative Guidance: Diffusion Model Sampling with Coherence Authors: Anh-Dung Dinh; Daochang Liu; Chang Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: generative models; diffusion model
221	SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models Authors: Muyang Li; Yujun Lin; Zhekai Zhang; Tianle Cai; Xiuyu Li; Junxian Guo; Enze Xie; Chenlin Meng; Jun-Yan Zhu; Song Han Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Quantization; Diffusion Models; Efficiency; Acceleration
222	Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models Authors: Qingni Wang; Tiantian Geng; Zhiyuan Wang; Teng Wang; Bo Fu; Feng Zheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: generative models; calibration/uncertainty; inference methods
223	SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation Authors: Yining Hong; Beide Liu; Maxine Wu; Yuanhao Zhai; Kai-Wei Chang; Linjie Li; Kevin Lin; Chung-Ching Lin; Jianfeng Wang; Zhengyuan Yang; Ying Nian Wu; Lijuan Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: video generation; complimentary learning system; slow-fast learning; diffusion
224	Streamlining Redundant Layers to Compress Large Language Models Authors: Xiaodong Chen; Yuxuan Hu; Jing Zhang; Yanling Wang; Cuiping Li; Hong Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: large language models; model compression; structured pruning
225	TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Authors: Makoto Shing; Kou Misaki; Han Bao; Sho Yokoi; Takuya Akiba Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Lanauge Models; Knowledge Distillation
226	Test-time Alignment of Diffusion Models without Reward Over-optimization Authors: Sunwoo Kim; Minkyu Kim; Dongmin Park Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: diffusion models; alignment; reward over-optimization; sequential monte carlo samplers
227	The Superposition of Diffusion Models Using the Itô Density Estimator Authors: Marta Skreta; Lazar Atanackovic; Joey Bose; Alexander Tong; Kirill Neklyudov Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: generative modelling; protein generation; image generation; diffusion models
228	Topological Schrödinger Bridge Matching Authors: Maosheng Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Spotlight Keywords: Schrödinger Bridge; Topological Signal Distribution Matching; Topological Stochastic Dynamics; Topological Generative Models
229	DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference Authors: Jinwei Yao; Kaiqi Chen; Kexun Zhang; Jiaxuan You; Binhang Yuan; Zeke Wang; Tao Lin Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Spotlight Keywords: LLM inference; attention; memory-efficiency; tree-based decoding; software libraries; hardware; systems; etc.
230	NetMoE: Accelerating MoE Training through Dynamic Sample Placement Authors: Xinyi Liu; Yujie Wang; Fangcheng Fu; Xupeng Miao; Shenhan Zhu; Xiaonan Nie; Bin CUI Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Spotlight Keywords: Mixture of Experts; All-to-All communication; Distributed training; software libraries; hardware; systems; etc.
231	ThunderKittens: Simple, Fast, and $\textit{Adorable}$ Kernels Authors: Benjamin Frederick Spector; Simran Arora; Aaryan Singhal; Arjun Parthasarathy; Daniel Y Fu; Christopher Re Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Spotlight Keywords: Systems; Kernels; Efficiency; Efficient Models; IO Awareness; GPUs; software libraries; hardware; systems; etc.
232	Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions Authors: Sarah Wiegreffe; Oyvind Tafjord; Yonatan Belinkov; Hannaneh Hajishirzi; Ashish Sabharwal Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: interpretability; multiple-choice question answering
233	Attention with Markov: A Curious Case of Single-layer Transformers Authors: Ashok Vardhan Makkuva; Marco Bondaschi; Adway Girish; Alliot Nagle; Martin Jaggi; Hyeji Kim; Michael Gastpar Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: Markov chains; Transformers; Optimization; Landscape
234	Bilinear MLPs enable weight-based mechanistic interpretability Authors: Michael T Pearce; Thomas Dooms; Alice Rigg; Jose Oramas; Lee Sharkey Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: interpretability; mechanistic interpretability; bilinear; feature extraction; weight-based; eigenvector; eigendecomposition; tensor network
235	Competition Dynamics Shape Algorithmic Phases of In-Context Learning Authors: Core Francisco Park; Ekdeep Singh Lubana; Hidenori Tanaka Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: In-Context Learning; Circuit Competition; Markov Chains; Training Dynamics; Generalization
236	Controlling Language and Diffusion Models by Transporting Activations Authors: Pau Rodriguez; Arno Blaas; Michal Klein; Luca Zappella; Nicholas Apostoloff; marco cuturi; Xavier Suau Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: controllability; generative models; toxicity; diffusion
237	Differential learning kinetics govern the transition from memorization to generalization during in-context learning Authors: Alex Nguyen; Gautam Reddy Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: in-context learning; mechanistic interpretability; small transformers; memorization
238	Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient Authors: George Wang; Jesse Hoogland; Stan van Wingerden; Zach Furman; Daniel Murfet Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: Developmental Interpretability; Mechanistic Interpretability; Singular Learning Theory; Learning Dynamics; Stagewise development; Model complexity
239	Efficient and Accurate Explanation Estimation with Distribution Compression Authors: Hubert Baniecki; Giuseppe Casalicchio; Bernd Bischl; Przemyslaw Biecek Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: explainable ai; feature attributions; feature importance; sampling; kernel thinning
240	Enhancing Pre-trained Representation Classifiability can Boost its Interpretability Authors: Shufan Shen; Zhaobo Qi; Junshu Sun; Qingming Huang; Qi Tian; Shuhui Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: Representation interpretability; vision representations; image understanding
241	How new data permeates LLM knowledge and how to dilute it Authors: Chen Sun; Renat Aksitov; Andrey Zhmoginov; Nolan Andrew Miller; Max Vladymyrov; Ulrich Rueckert; Been Kim; Mark Sandler Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: fine-tuning; hallucinations; knowledge injection; memory; LLMs
242	Knowledge Localization: Mission Not Accomplished? Enter Query Localization! Authors: Yuheng Chen; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: Knowledge Neruon Thesis; Knowledge Localization; Query Localization
243	Monitoring Latent World States in Language Models with Propositional Probes Authors: Jiahai Feng; Stuart Russell; Jacob Steinhardt Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: Interpretability; Language models; AI Safety
244	Provably Accurate Shapley Value Estimation via Leverage Score Sampling Authors: Christopher Musco; R. Teal Witter Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: Explainable AI; Active Regression; Shapley Values; Leverage Scores
245	The Computational Complexity of Circuit Discovery for Inner Interpretability Authors: Federico Adolfi; Martina G. Vilas; Todd Wareham Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: inner interpretability; mechanistic interpretability; circuit discovery; computational complexity; parameterized complexity
246	To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts Authors: Yukun Huang; Sanxing Chen; Hongyi Cai; Bhuwan Dhingra Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: Large Language Model; Knowledge Conflict; Retrieval Augmented Generation; Confidence Estimation; Reasoning
247	Towards a Unified and Verified Understanding of Group-Operation Networks Authors: Wilson Wu; Louis Jaburi; jacob drori; Jason Gross Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: mechanistic interpretability; verification; proof; guarantees; interpretability; equivariance; group theory; representation theory
248	Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations Authors: Katie Matton; Robert Ness; John Guttag; Emre Kiciman Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: large language models; faithful explanations; explainability; safety; counterfactual reasoning
249	Wasserstein Distances, Neuronal Entanglement, and Sparsity Authors: Shashata Sawmya; Linghao Kong; Ilia Markov; Dan Alistarh; Nir N Shavit Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Spotlight Keywords: Polysemanticity; Disentanglement; Wasserstein Distance; Sparsity; Large Language Models
250	Bundle Neural Network for message diffusion on graphs Authors: Jacob Bamberger; Federico Barbero; Xiaowen Dong; Michael M. Bronstein Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: graph neural network; sheaf neural network; geometric deep learning; algebraic topology; vector bundles; expressivity
251	Exact Certification of (Graph) Neural Networks Against Label Poisoning Authors: Mahalakshmi Sabanayagam; Lukas Gosch; Stephan Günnemann; Debarghya Ghoshdastidar Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: graph neural networks; robustness; certificates; provable robustness; neural networks; label poisoning; label flipping; poisoning; mixed-integer linear program…
252	GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Authors: Dingyi Zhuang; Chonghe Jiang; Yunhan Zheng; Shenhao Wang; Jinhua Zhao Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: Uncertainty Quantification; Graph Neural Networks; Ensemble Learning; Mixture of Experts
253	GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Authors: Danny Wang; Ruihong Qiu; Guangdong Bai; Zi Huang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: Graph Neural Network; Out-of-Distribution Detection
254	Graph Neural Networks Can (Often) Count Substructures 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: Spotlight Keywords: graph neural networks; subgraphs; expressivity
255	Graph Sparsification via Mixture of Graphs Authors: Guibin Zhang; Xiangguo Sun; Yanwei Yue; Chonghe Jiang; Kun Wang; Tianlong Chen; Shirui Pan Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: Graph Sparsification; Mixture-of-Experts
256	Higher-Order Graphon Neural Networks: Approximation and Cut Distance Authors: Daniel Herbst; Stefanie Jegelka Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: Graph neural networks; invariant graph networks; universal approximation; graph limits; graphons; transferability; homomorphism densities; machine learning the…
257	LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Authors: Mufei Li; Viraj Shitole; Eli Chien; Changhai Man; Zhaodong Wang; Srinivas; Ying Zhang; Tushar Krishna; Pan Li Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: directed acyclic graphs; graph generation; discrete diffusion; autoregressive model
258	Quality Measures for Dynamic Graph Generative Models Authors: Ryien Hosseini; Filippo Simini; Venkatram Vishwanath; Rebecca Willett; Henry Hoffmann Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: generative models; dynamic graphs; evaluation metrics
259	Recovering Manifold Structure Using Ollivier Ricci Curvature Authors: Tristan Luca Saidi; Abigail Hickok; Andrew J. Blumberg Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: Manifold Learning; Persistent Homology; Ollivier-Ricci Curvature; Pruning; Nearest-Neighbor Graphs
260	Revisiting Random Walks for Learning on Graphs Authors: Jinwoo Kim; Olga Zaghen; Ayhan Suleymanzade; Youngmin Ryou; Seunghoon Hong Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: Graph machine learning; random walk; invariance; universal approximation; markov chain
261	Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Authors: Lu Yi; Zhewei Wei Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: Machine Unlearning; Graph Neural Networks; Scalability
262	Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency Authors: Xinyu He; Dongqi Fu; Hanghang Tong; Ross Maciejewski; Jingrui He Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: Temporal Graph; Heterogeneous Graph; Graph Generation
263	Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation Authors: Laurin Lux; Alexander H Berger; Alexander Weers; Nico Stucki; Daniel Rueckert; Ulrich Bauer; Johannes C. Paetzold Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Spotlight Keywords: Image Segmentation; Topology; Graph
264	Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels Authors: Daning Huang; Hanyang He; John Harlim; Yan Li Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Spotlight Keywords: Dynamics on manifolds; Operator-valued kernel; Geometry-preserving time integration; Ordinary differential equations
265	MamKO: Mamba-based Koopman operator for modeling and predictive control Authors: ZHAOYANG LI; Minghao Han; Xunyuan Yin Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Spotlight Keywords: Mamba; Koopman operator; model predictive control; nonlinear systems
266	Modeling Complex System Dynamics with Flow Matching Across Time and Conditions Authors: Martin Rohbeck; Edward De Brouwer; Charlotte Bunne; Jan-Christian Huetter; Anne Biton; Kelvin Y. Chen; Aviv Regev; Romain Lopez Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Spotlight Keywords: Flow Matching; dynamical systems
267	Nonlinear Sequence Embedding by Monotone Variational Inequality Authors: Jonathan Yuyang Zhou; Yao Xie Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Spotlight Keywords: Monotone Variational Inequality; Convex Optimization; Sequence Data; Time Series; Representation Learning
268	Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra Authors: Roman Worschech; Bernd Rosenow Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: Statistical mechanics; neural scaling laws
269	Computational Explorations of Total Variation Distance Authors: Arnab Bhattacharyya; Sutanu Gayen; Kuldeep S. Meel; Dimitrios Myrisiotis; A. Pavan; N. V. Vinodchandran Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: total variation distance; TV distance; mixtures of products; equivalence checking; Ising models; computational complexity; FPRAS
270	Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization Authors: Audrey Huang; Wenhao Zhan; Tengyang Xie; Jason D. Lee; Wen Sun; Akshay Krishnamurthy; Dylan J Foster Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: Reinforcement Learning Theory; Offline Reinforcement Learning; single-policy concentrability; pessimism; RLHF
271	Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees Authors: Shahryar Zehtabi; Dong-Jun Han; Rohit Parasnis; Seyyedali Hosseinalipour; Christopher Brinton Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: Decentralized Federated Learning; Sporadicity; Unified Algorithmic Framework; Convergence Analysis
272	Decomposition Polyhedra of Piecewise Linear Functions Authors: Marie-Charlotte Brandenburg; Moritz Leo Grillo; Christoph Hertrich Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: Piecewise Linear Functions; Polyhedral Geometry; Minimal Convex Decompositions; Submodular Functions; Neural Networks
273	Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Authors: Milad Sefidgaran; Abdellatif Zaidi; Piotr Krasnowski Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: Representation learning algorithm; Gaussian-Mixture; regularizer; rate-disotortion
274	Generalized Principal-Agent Problem with a Learning Agent Authors: Tao Lin; Yiling Chen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: principal-agent problems; Bayesian persuasion; no-regret learning; no-swap-regret
275	How Feature Learning Can Improve Neural Scaling Laws Authors: Blake Bordelon; Alexander Atanasov; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: neural scaling laws; feature learning; kernel methods; linear networks; mean field theory
276	How Much is Unseen Depends Chiefly on Information About the Seen Authors: Seongmin Lee; Marcel Boehme Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: Good-Turing frequency estimation; Multinomial probability estimation; Unseen events; Missing mass; Probability mass
277	Improved Convergence Rate for Diffusion Probabilistic Models Authors: Gen Li; Yuchen Jiao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: score-based generative model; diffusion model; probability flow ODE; randomized learning rate
278	On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth Authors: Gennadiy Averkov; Christopher Hojny; Maximilian Merkert Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: expressive power; depth; exact representations; ReLU networks; mixed volumes; lattice polytopes; number theory
279	On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent Authors: Bingrui Li; Wei Huang; Andi Han; Zhanpeng Zhou; Taiji Suzuki; Jun Zhu; Jianfei Chen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: Sign Gradient Descent; Transformer; Training Dynamics; Theory
280	Provable Uncertainty Decomposition via Higher-Order Calibration Authors: Gustaf Ahdritz; Aravind Gollakota; Parikshit Gopalan; Charlotte Peale; Udi Wieder Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: uncertainty quantification; calibration; trustworthy ML; mixture learning
281	Strong Model Collapse Authors: Elvis Dohmatob; Yunzhen Feng; Arjun Subramonian; Julia Kempe Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: Model Collapse; Regression; High dimensional asymptotics; Synthetic Data; Scaling Laws
282	Theory on Mixture-of-Experts in Continual Learning Authors: Hongbo Li; Sen Lin; Lingjie Duan; Yingbin Liang; Ness Shroff Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: continual learning; mixture-of-experts; catastrophic forgetting; generalization error
283	Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought Authors: Jianhao Huang; Zixuan Wang; Jason D. Lee Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: Chain of Thought; Transformer optimization; Training dynamics
284	Understanding Factual Recall in Transformers via Associative Memories Authors: Eshaan Nichani; Jason D. Lee; Alberto Bietti Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: transformers; associative memories; factual recall; storage capacity; training dynamics
285	uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs Authors: Yu Chen; Jiatai Huang; Yan Dai; Longbo Huang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Spotlight Keywords: Heavy Tailed; Multi-Armed Bandits; Parameter-Free; Best-of-Both-Worlds
286	BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Authors: Hikaru Shindo; Quentin Delfosse; Devendra Singh Dhami; Kristian Kersting Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Spotlight Keywords: Neuro-Symbolic AI; Differentiable Reasoning; Reinforcement Learning; Interpretable AI; First-order logic; logic & formal reasoning; etc.)
287	Diffusion On Syntax Trees For Program Synthesis Authors: Shreyas Kapur; Erik Jenner; Stuart Russell Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Spotlight Keywords: neurosymbolic; search; programming languages; inverse graphics; logic & formal reasoning; etc.)
288	Learning to Solve Differential Equation Constrained Optimization Problems Authors: Vincenzo Di Vito Francesco; Mostafa Mohammadian; Kyri Baker; Ferdinando Fioretto Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Spotlight Keywords: Learning-based optimization proxy; differential equations constrained optimization; neural differential equations; system dynamics; logic & formal reasoning; e…
289	RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression Authors: Hengzhe Zhang; Qi Chen; Bing XUE; Wolfgang Banzhaf; Mengjie Zhang Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Spotlight Keywords: Symbolic Regression; Genetic Programming; Transformers; Deep Learning; logic & formal reasoning; etc.)
290	Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach Authors: Qi Liu; Xinhao Zheng; Xudong Lu; 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: Spotlight Keywords: Large Language Model; Formal Verification; Autoformalization; logic & formal reasoning; etc.)
291	VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning Authors: Yichao Liang; Nishanth Kumar; Hao Tang; Adrian Weller; Joshua B. Tenenbaum; Tom Silver; Joao F. Henriques; Kevin Ellis Affiliation: 官方页面未列出 Official area / track: neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) Recognition: Spotlight Keywords: learning abstractions for planning; neuro-symbolic ai; concept learning; logic & formal reasoning; etc.)
292	Adam Exploits $\ell_\infty$-geometry of Loss Landscape via Coordinate-wise Adaptivity Authors: Shuo Xie; Mohamad Amin Mohamadi; Zhiyuan Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Adam; coordinate-wise adaptivity; adaptive algorithms; infinity norm
293	Adaptive Gradient Clipping for Robust Federated Learning Authors: Youssef Allouah; Rachid Guerraoui; Nirupam Gupta; Ahmed Jellouli; Geovani Rizk; John Stephan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Federated learning; robustness; Byzantine resilience
294	Approximation algorithms for combinatorial optimization with predictions Authors: Antonios Antoniadis; Marek Elias; Adam Polak; Moritz Venzin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Approximation Algorithm; Predictions; ML-augmented; Combinatorial Optimization
295	Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Authors: Sajad Movahedi; Antonio Orvieto; Seyed-Mohsen Moosavi-Dezfooli Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Optimization; Deep Neural Networks; Deep Learning; Deep Learning Theory; Machine Learning Theory
296	Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression Authors: Shuang Liang; Guido Montufar Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: implicit bias; overparametrized neural network; mirror descent; univariate regression; lazy training
297	Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension Authors: Huanjian Zhou; Lingxiao Huang; Baoxiang Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: $k$-submodular maximization; approximation algorithm; $k$-multilinear extension
298	Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization Authors: Rei Higuchi; Pierre-Louis Poirion; Akiko Takeda Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: random projection; trust region method; non-convex optimization; second-order stationary point; local convergence
299	Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization Authors: Hansi Yang; James Kwok Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: multi-objective optimization
300	LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression Authors: Laurent Condat; Arto Maranjyan; Peter Richtárik Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: distributed optimization; local training; compression; communication-efficient algorithm; federated learning
301	Nesterov acceleration in benignly non-convex landscapes Authors: Kanan Gupta; Stephan Wojtowytsch Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Nonconvex optimization; stochastic optimization; stochastic acceleration; smooth convex optimization; deep learning; accelerated gradient descent
302	PETRA: Parallel End-to-end Training with Reversible Architectures Authors: Stephane Rivaud; Louis Fournier; Thomas Pumir; Eugene Belilovsky; Michael Eickenberg; Edouard Oyallon Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Model parallelism; Delayed gradient; Reversible architectures
303	Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation Authors: Zhanfeng Mo; Haosen Shi; Sinno Jialin Pan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Optimization for Deep Network; Probabilistic Method; Machine learning; Model compression
304	Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations Authors: Shaocong Ma; Heng Huang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: zeroth-order optimization; SGD; convergence analysis
305	Scaling FP8 training to trillion-token LLMs Authors: Maxim Fishman; Brian Chmiel; Ron Banner; Daniel Soudry Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: quantization; fp8; llms; training; acceleration; compression
306	Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression Authors: Amit Chakrabarti; Jeffrey Jiang; David Woodruff; Taisuke Yasuda Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Regression; Streaming; Online algorithms; Flows
307	Universal generalization guarantees for Wasserstein distributionally robust models Authors: Tam Le; Jerome Malick Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: generalization guarantees; optimal transport; distributionally robust optimization; nonsmooth analysis
308	CBQ: Cross-Block Quantization for Large Language Models Authors: Xin Ding; Xiaoyu Liu; Zhijun Tu; Yun Zhang; Wei Li; Jie Hu; Hanting Chen; Yehui Tang; Zhiwei Xiong; Baoqun Yin; Yunhe Wang Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: Large Language Model Compression; ultra-low bits precision; none of the above)
309	Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs Authors: Donggoo Jung; Daehyun Kim; Tae Hyun Kim Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: NeuralODE; Low-light Enhancement; none of the above)
310	DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models Authors: Wenlong Deng; Yize Zhao; Vala Vakilian; Minghui Chen; Xiaoxiao Li; Christos Thrampoulidis Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: Delta parameter pruning; Efficiency; Large Language Models; none of the above)
311	DRoP: Distributionally Robust Data Pruning Authors: Artem M Vysogorets; Kartik Ahuja; Julia Kempe Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: Data Pruning; Classification Bias; Robustness; none of the above)
312	DeLLMa: Decision Making Under Uncertainty with Large Language Models Authors: Ollie Liu; Deqing Fu; Dani Yogatama; Willie Neiswanger Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: large language models; decision theory; decision making under uncertainty; none of the above)
313	Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling Authors: Yuxuan Yao; Han Wu; Mingyang LIU; Sichun Luo; Xiongwei Han; Jie Liu; Zhijiang Guo; Linqi Song Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: Model ensembling; LLM; none of the above)
314	Differentiable Integer Linear Programming Authors: Zijie Geng; Jie Wang; Xijun Li; Fangzhou Zhu; Jianye HAO; Bin Li; Feng Wu Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: Integer Linear Programming; Learning to Optimize; none of the above)
315	Effective Interplay between Sparsity and Quantization: From Theory to Practice Authors: Simla Burcu Harma; Ayan Chakraborty; Elizaveta Kostenok; Danila Mishin; Dongho Ha; Babak Falsafi; Martin Jaggi; Ming Liu; Yunho Oh; Suvinay Subramanian; Amir Yazdanbakhsh Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: theory of compression; model compression; quantization; max-scaled numerical encoding; sparsity; unstructured sparsity; structured sparsity; N:M sparsity; larg…
316	Learning-Augmented Frequent Directions Authors: Anders Aamand; Justin Y. Chen; Siddharth Gollapudi; Sandeep Silwal; Hao WU Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: learning-augmented algorithms; algorithms with predictions; data streams; streaming algorithms; frequency estimation; heavy hitters; frequent directions; low-r…
317	Linear Mode Connectivity in Differentiable Tree Ensembles Authors: Ryuichi Kanoh; Mahito Sugiyama Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: Linear Mode Connectivity; Soft Tree; none of the above)
318	Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data Authors: Xinran Liu; Yikun Bai; Rocio Diaz Martin; Kaiwen Shi; Ashkan Shahbazi; Bennett Allan Landman; Catie Chang; Soheil Kolouri Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: Optimal Transport; Spherical Data Analysis; none of the above)
319	Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification Authors: Hsun-Yu Kuo; Yin-Hsiang Liao; Yu-Chieh Chao; Wei-Yun Ma; Pu-Jen Cheng Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: data weighing; data augmentation; distillation; data-efficient training; NLP in resource-constrained settings; fine-tuning; weighted loss; none of the above)
320	Robustness Reprogramming for Representation Learning Authors: Zhichao Hou; MohamadAli Torkamani; Hamid Krim; Xiaorui Liu Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: Adversarial Robustness; Robustness Reprogramming; Robust Representation Learning; none of the above)
321	Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training Authors: Zhanpeng Zhou; Mingze Wang; Yuchen Mao; Bingrui Li; Junchi Yan Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: Sharpness-Aware Minimization; Implicit Bias; Training Dynamics; none of the above)
322	The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions Authors: Stefan Sylvius Wagner; Maike Behrendt; Marc Ziegele; Stefan Harmeling Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: large language models; stance detection; data augmentation; active learning; online political discussions; none of the above)
323	Towards Automated Knowledge Integration From Human-Interpretable Representations Authors: Kasia Kobalczyk; 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: Spotlight Keywords: informed machine learning; knowledge integration; meta-learning; data efficiency; priors; none of the above)
324	Towards Marginal Fairness Sliced Wasserstein Barycenter 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: Spotlight Keywords: Sliced Wasserstein Barycenter; Optimal Transport; Sliced Wasserstein; Averaging Measures.; none of the above)
325	Tuning Frequency Bias of State Space Models Authors: Annan Yu; Dongwei Lyu; Soon Hoe Lim; Michael W. Mahoney; N. Benjamin Erichson Affiliation: 官方页面未列出 Official area / track: other topics in machine learning (i.e., none of the above) Recognition: Spotlight Keywords: state-space models; sequence models; Long-Range Arena; frequency bias; none of the above)
326	Bayesian Experimental Design Via Contrastive Diffusions Authors: Jacopo Iollo; Christophe Heinkelé; Pierre Alliez; Florence Forbes Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Spotlight Keywords: Bayesian Optimal Experimental Design; Conditional Diffusion Models; score based sampling; Bayesian Inverse Problems; Experimental Design; Sampling as Optimizat…
327	Bayesian Optimization via Continual Variational Last Layer Training Authors: Paul Brunzema; Mikkel Jordahn; John Willes; Sebastian Trimpe; Jasper Snoek; James Harrison Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Spotlight Keywords: Bayesian deep learning; bayesian optimization; uncertainty; variational inference; sampling; UQ; etc.)
328	Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Authors: Kaizheng Wang; Fabio Cuzzolin; Keivan Shariatmadar; David Moens; Hans Hallez Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Spotlight Keywords: Uncertainty Estimation; Model Averaging; Credal Stes; Probability Intervals; Out-of-Distribution Detection; variational inference; sampling; UQ; etc.)
329	Estimating the Probabilities of Rare Outputs in Language Models Authors: Gabriel Wu; Jacob Hilton Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Spotlight Keywords: low probabilities; adversarial training; importance sampling; variational inference; sampling; UQ; etc.)
330	PABBO: Preferential Amortized Black-Box Optimization Authors: Xinyu Zhang; Daolang Huang; Samuel Kaski; Julien Martinelli Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Spotlight Keywords: Bayesian optimization; preference learning; amortized inference; neural processes; variational inference; sampling; UQ; etc.)
331	SoftCVI: Contrastive variational inference with self-generated soft labels Authors: Daniel Ward; Mark Beaumont; Matteo Fasiolo Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Spotlight Keywords: contrastive learning; variational inference; variational inference; sampling; UQ; etc.)
332	Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations Authors: Richard Bergna; Sergio Calvo Ordoñez; Felix Opolka; Pietro Lio; José Miguel Hernández-Lobato Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Spotlight Keywords: Graph Neural Networks; Stochastic Differential Equations; Uncertainty Quantification; Bayesian Machine Learning; variational inference; sampling; UQ; etc.)
333	When do GFlowNets learn the right distribution? Authors: Tiago Silva; Rodrigo Barreto Alves; Eliezer de Souza da Silva; Amauri H Souza; Vikas Garg; Samuel Kaski; Diego Mesquita Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Spotlight Keywords: GFlowNets; variational inference; sampling; UQ; etc.)
334	Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research Authors: Michał Bortkiewicz; Władysław Pałucki; Vivek Myers; Tadeusz Dziarmaga; Tomasz Arczewski; Łukasz Kuciński; Benjamin Eysenbach Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Deep Reinforcement Learning; GPU-accelerated Physics Simulators; Contrastive Learning; Unsupervised Reinforcement Learning
335	BodyGen: Advancing Towards Efficient Embodiment Co-Design Authors: Haofei Lu; Zhe Wu; Junliang Xing; Jianshu Li; Ruoyu Li; Zhe Li; Yuanchun Shi Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Reinforcement Learning
336	Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL Authors: Ghada Sokar; Johan Samir Obando Ceron; Aaron Courville; Hugo Larochelle; Pablo Samuel Castro Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Reinforcement learning; Deep reinforcement learning; Mixture of experts
337	Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition Authors: Zhong Zheng; Haochen Zhang; Lingzhou Xue Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Reinforcement Learning; Q-Learning; Regret
338	How to Find the Exact Pareto Front for Multi-Objective MDPs? Authors: Yining Li; Peizhong Ju; Ness Shroff Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Multi-objective optimization; Markov decision Process
339	Lean-STaR: Learning to Interleave Thinking and Proving Authors: Haohan Lin; Zhiqing Sun; Sean Welleck; Yiming Yang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Automated Theorem Proving; Chain-of-Thought; Reinforcement Learning; Reasoning
340	Learning Transformer-based World Models with Contrastive Predictive Coding Authors: Maxime Burchi; Radu Timofte Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: model-based reinforcement learning; transformer network; contrastive predictive coding
341	Learning from negative feedback, or positive feedback or both Authors: Abbas Abdolmaleki; Bilal Piot; Bobak Shahriari; Jost Tobias Springenberg; Tim Hertweck; Michael Bloesch; Rishabh Joshi; Thomas Lampe; Junhyuk Oh; Nicolas Heess; Jonas Buchli; Mart… Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Preference Optimization; Policy Optimization; Negative Feedback; Positive feedback; Reinforcement Learning; Probabilistic Inference
342	MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL Authors: Claas A Voelcker; Marcel Hussing; Eric Eaton; Amir-massoud Farahmand; Igor Gilitschenski Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: reinforcement learning; model based reinforcement learning; data augmentation; high update ratios
343	Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization Authors: Sascha Marton; Tim Grams; Florian Vogt; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Symbolic Reinforcement Learning; Interpretable Reinforcement Learning; Reinforcement Learning; Decision Trees; Policy Gradient; Proximal Policy Optimization
344	Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency Authors: Qixin Zhang; Zongqi Wan; Yu Yang; Li Shen; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Online Learning; Submodular Maximization; Surrogate Gradient; Multi-Agent
345	ODE-based Smoothing Neural Network for Reinforcement Learning Tasks Authors: Yinuo Wang; Wenxuan Wang; Xujie Song; Tong Liu; Yuming Yin; Liangfa Chen; Likun Wang; Jingliang Duan; Shengbo Eben Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Reinforcement Learning; Smooth Control; Low-pass Filter; Neural ODE
346	Online Reinforcement Learning in Non-Stationary Context-Driven Environments Authors: Pouya Hamadanian; Arash Nasr-Esfahany; Malte Schwarzkopf; Siddhartha Sen; Mohammad Alizadeh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: catastrophic forgetting; reinforcement learning; context-driven MDP; online learning; non-stationary
347	POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition Authors: Yuta Saito; Jihan Yao; Thorsten Joachims Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Off-Policy Learning; Contextual Bandits; Large Action Space; Importance Weighting; Clustering; Policy Gradient
348	Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction Authors: Baiting Luo; Ava Pettet; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Sequential Decision-Making; Monte Carlo Tree Search; Temporal Abstraction; Planning; Model-based Reinforcement Learning; Offline Reinforcement Learning
349	SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Authors: Hojoon Lee; Dongyoon Hwang; Donghu Kim; Hyunseung Kim; Jun Jet Tai; Kaushik Subramanian; Peter R. Wurman; Jaegul Choo; Peter Stone; Takuma Seno Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: reinforcement learning
350	Simplifying Deep Temporal Difference Learning Authors: Matteo Gallici; Mattie Fellows; Benjamin Ellis; Bartomeu Pou; Ivan Masmitja; Jakob Nicolaus Foerster; Mario Martin Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Reinforcement Learning; TD; Theory; Q-learning; Parallelisation; Network Normalisation
351	Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Authors: Eliot Xing; Vernon Luk; Jean Oh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: reinforcement learning; differentiable simulation
352	Student-Informed Teacher Training Authors: Nico Messikommer; Jiaxu Xing; Elie Aljalbout; Davide Scaramuzza Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Reinforcement Learning; Imitation Learning; Robotics
353	TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Authors: Ge Li; Dong Tian; Hongyi Zhou; Xinkai Jiang; Rudolf Lioutikov; Gerhard Neumann Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Value of sequences of actions; Reinforcement Learning; Transformer; Robot Manipulation; Movement Primitives.
354	Towards General-Purpose Model-Free Reinforcement Learning Authors: Scott Fujimoto; Pierluca D'Oro; Amy Zhang; Yuandong Tian; Michael Rabbat Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Deep reinforcement learning; model-free; general-purpose
355	What Makes a Good Diffusion Planner for Decision Making? Authors: Haofei Lu; Dongqi Han; Yifei Shen; Dongsheng Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Spotlight Keywords: Diffusion Models; Offline Reinforcement Learning; Decision Making; Planning
356	A Second-Order Perspective on Model Compositionality and Incremental Learning Authors: Angelo Porrello; Lorenzo Bonicelli; Pietro Buzzega; Monica Millunzi; Simone Calderara; Rita Cucchiara Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Spotlight Keywords: Continual Learning; Model Compositionality; Ensemble Learning; Task Arithmetic; meta learning; and lifelong learning
357	Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling Authors: Minhyuk Seo; Hyunseo Koh; Jonghyun Choi Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Spotlight Keywords: Continual Learning; Lifelong Learning; Efficient Training; Layer Freezing; meta learning; and lifelong learning
358	Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models Authors: Lucas Bandarkar; Benjamin Muller; Pritish Yuvraj; Rui Hou; Nayan Singhal; Hongjiang Lv; Bing Liu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Spotlight Keywords: model souping; model merging; cross-lingual transfer; multilingual; math; mathematical reasoning; LLM; SFT; meta learning; and lifelong learning
359	LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning Authors: Minyoung Kim; Timothy Hospedales Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Spotlight Keywords: Bayesian methods; Parameter efficient fine-tuning; meta learning; meta learning; and lifelong learning
360	Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation Authors: Zhaochong An; Guolei Sun; Yun Liu; Runjia Li; Min Wu; Ming-Ming Cheng; Ender Konukoglu; Serge Belongie Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Spotlight Keywords: 3D segmentation; 3D point cloud; few-shot segmentation; multimodality; few-shot point cloud semantic segmentation; meta learning; and lifelong learning
361	Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding Authors: Eric Lei; Hamed Hassani; Shirin Saeedi Bidokhti Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: Neural compression; vector quantization; lattice quantization; nonlinear transform coding; self-supervised; semi-supervised; and supervised representation lear…
362	COPER: Correlation-based Permutations for Multi-View Clustering Authors: Ran Eisenberg; Jonathan Svirsky; Ofir Lindenbaum Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: clustering; canonical correlation analysis; self supervision; multiview; self-supervised; semi-supervised; and supervised representation learning
363	Control-oriented Clustering of Visual Latent Representation Authors: Han Qi; Haocheng Yin; Heng Yang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: neural collapse; learning from demonstration; vision-based learning control; self-supervised; semi-supervised; and supervised representation learning
364	DEEM: Diffusion models serve as the eyes of large language models for image perception Authors: Run Luo; Yunshui Li; Longze Chen; Wanwei He; Ting-En Lin; Ziqiang Liu; Lei Zhang; Zikai Song; Hamid Alinejad-Rokny; Xiaobo Xia; Tongliang Liu; Binyuan Hui; Min Yang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: MLLM; Diffusion Model; self-supervised; semi-supervised; and supervised representation learning
365	DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization Authors: Yi Zhang; Siwei Wang; Jiyuan Liu; Shengju Yu; Zhibin Dong; Suyuan Liu; Xinwang Liu; En Zhu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: multiple kernel clustering; multi-view clustering; late fusion MVC; self-supervised; semi-supervised; and supervised representation learning
366	Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA Authors: Changmin Yu; Maneesh Sahani; Máté Lengyel Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: Computational neuroscience; neural data analysis; Bayesian nonparametrics; latent variable modelling; self-supervised; semi-supervised; and supervised represen…
367	Effective post-training embedding compression via temperature control in contrastive training Authors: Georgiana Dinu; Corey D Barrett; Yi Xiang; Miguel Romero Calvo; Anna Currey; Xing Niu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: representation learning; embeddings; text retrieval; nlp; self-supervised; semi-supervised; and supervised representation learning
368	EmbedLLM: Learning Compact Representations of Large Language Models Authors: Richard Zhuang; Tianhao Wu; Zhaojin Wen; Andrew Li; Jiantao Jiao; Kannan Ramchandran Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: Large Language Models; Representation Learning; Model Routing; self-supervised; semi-supervised; and supervised representation learning
369	Formation of Representations in Neural Networks Authors: Liu Ziyin; Isaac L. Chuang; Tomer Galanti; Tomaso A Poggio Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: representation learning; neural collapse; neural feature ansatz; self-supervised; semi-supervised; and supervised representation learning
370	GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision Authors: Zihui Zhang; Yafei YANG; Hongtao Wen; Bo Yang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: 3D scene object segmentation; unsupervised learning; self-supervised; semi-supervised; and supervised representation learning
371	High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws Authors: Muhammed Emrullah Ildiz; Halil Alperen Gozeten; Ege Onur Taga; Marco Mondelli; Samet Oymak Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: empirical risk minimization; high-dimensional statistics; scaling laws; weak to strong generalization; knowledge distillation; self-supervised; semi-supervised…
372	Instance-dependent Early Stopping Authors: Suqin Yuan; Runqi Lin; Lei Feng; Bo Han; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: Early Stopping; Supervised Learning; Deep Learning; Efficiency; Sample Selection; Data Pruning; self-supervised; semi-supervised; and supervised representation…
373	Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions Authors: Yan Ru Pei Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: state-space models; convolution; tensor networks; audio processing; speech recognition; self-supervised; semi-supervised; and supervised representation learning
374	On Disentangled Training for Nonlinear Transform in Learned Image Compression Authors: Han Li; Shaohui Li; Wenrui Dai; Maida Cao; Nuowen Kan; Chenglin Li; Junni Zou; Hongkai Xiong Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: self-supervised; semi-supervised; and supervised representation learning
375	Realistic Evaluation of Deep Partial-Label Learning Algorithms Authors: Wei Wang; Dong-Dong Wu; Jindong Wang; Gang Niu; Min-Ling Zhang; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: Partial-label learning; weakly supervised learning; benchmark.; self-supervised; semi-supervised; and supervised representation learning
376	Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction Authors: Shengju Yu; Zhibin Dong; Siwei Wang; Pei Zhang; Yi Zhang; Xinwang Liu; Naiyang Guan; Tiejun Li; Yiu-ming Cheung Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: incomplete multi-view clustering; mulit-view clustering; clustering; self-supervised; semi-supervised; and supervised representation learning
377	Test-time Adaptation for Cross-modal Retrieval with Query Shift Authors: Haobin Li; Peng Hu; Qianjun Zhang; Xi Peng; XitingLiu; Mouxing Yang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: Test-time adaptation; Cross-modal retrieval; Query shift; self-supervised; semi-supervised; and supervised representation learning
378	Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Authors: Ziyang Wu; Tianjiao Ding; Yifu Lu; Druv Pai; Jingyuan Zhang; Weida Wang; Yaodong Yu; Yi Ma; Benjamin David Haeffele Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: white-box deep neural networks; representation learning; transformer; self-supervised; semi-supervised; and supervised representation learning
379	Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric Authors: Toshimitsu Uesaka; Taiji Suzuki; Yuhta Takida; Chieh-Hsin Lai; Naoki Murata; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: contrastive learning; representation learning; multimodal representation learning; theoretical analysis; InfoNCE; pointwise mutual information; self-supervised…
380	What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis Authors: Weronika Ormaniec; Felix Dangel; Sidak Pal Singh Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Spotlight Keywords: Hessian; Transformers; self-supervised; semi-supervised; and supervised representation learning
381	A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Authors: Yan Scholten; Stephan Günnemann; Leo Schwinn Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Machine Unlearning; Alignment; Large Language Models; fairness; safety; privacy; and societal considerations
382	AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models Authors: Junfeng Fang; Houcheng Jiang; Kun Wang; Yunshan Ma; Jie Shi; Xiang Wang; Xiangnan He; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Model Editing; Null-Space; Large Language Model; fairness; safety; privacy; and societal considerations
383	Backtracking Improves Generation Safety Authors: Yiming Zhang; Jianfeng Chi; Hailey Nguyen; Kartikeya Upasani; Daniel M. Bikel; Jason E Weston; Eric Michael Smith Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: AI safety; Generation algorithm; Backtracking; fairness; safety; privacy; and societal considerations
384	Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation Authors: Tiansheng Huang; Sihao Hu; Fatih Ilhan; Selim Furkan Tekin; Ling Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Harmful fine-tuning; LLM; safety alignment; fairness; safety; privacy; and societal considerations
385	Copyright-Protected Language Generation via Adaptive Model Fusion Authors: Javier Abad; Konstantin Donhauser; Francesco Pinto; Fanny Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: language models; copyright; model fusion; memorization; safety; privacy; fairness; safety; privacy; and societal considerations
386	DarkBench: Benchmarking Dark Patterns in Large Language Models Authors: Esben Kran; Hieu Minh Nguyen; Akash Kundu; Sami Jawhar; Jinsuk Park; Mateusz Maria Jurewicz Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Dark Patterns; AI Deception; Large Language Models; fairness; safety; privacy; and societal considerations
387	Do as We Do, Not as You Think: the Conformity of Large Language Models Authors: Zhiyuan Weng; Guikun Chen; Wenguan Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Large Language Models; Conformity; Multi-agent System; fairness; safety; privacy; and societal considerations
388	Energy-based Backdoor Defense Against Federated Graph Learning Authors: Guancheng Wan; Zitong Shi; Wenke Huang; Guibin Zhang; Dacheng Tao; Mang Ye Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Federated Learning; Graph Learning; fairness; safety; privacy; and societal considerations
389	How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning Authors: Yao Tong; Jiayuan Ye; Sajjad Zarifzadeh; Reza Shokri Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Machine Learning; Privacy; Dataset Usage Inference; Dataset Ownership; Membership Inference Attack; Dataset Copyright; fairness; safety; privacy; and societal…
390	MAP: Multi-Human-Value Alignment Palette Authors: Xinran Wang; Qi Le; Ammar Ahmed; Enmao Diao; Yi Zhou; Nathalie Baracaldo; Jie Ding; Ali Anwar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Human value alignment; Generative model; fairness; safety; privacy; and societal considerations
391	Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse Authors: Maojia Song; Shang Hong Sim; Rishabh Bhardwaj; Hai Leong Chieu; Navonil Majumder; Soujanya Poria Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Large Language Models; Trustworthiness; Hallucinations; Retrieval Augmented Generation; fairness; safety; privacy; and societal considerations
392	More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness Authors: Aaron Jiaxun Li; Satyapriya Krishna; Himabindu Lakkaraju Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Large Language Model; Trustworthy ML; Data Attribution; fairness; safety; privacy; and societal considerations
393	On the Role of Attention Heads in Large Language Model Safety Authors: Zhenhong Zhou; Haiyang Yu; Xinghua Zhang; Rongwu Xu; Fei Huang; Kun Wang; Yang Liu; Junfeng Fang; Yongbin Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: interpretability; large language model; multi-head attention; safety; harmful content; fairness; safety; privacy; and societal considerations
394	Robustness Inspired Graph Backdoor Defense Authors: Zhiwei Zhang; Minhua Lin; Junjie Xu; Zongyu Wu; Enyan Dai; Suhang Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Backdoor Defense; Graph Neural Network; fairness; safety; privacy; and societal considerations
395	Safety Alignment Should be Made More Than Just a Few Tokens Deep Authors: Xiangyu Qi; Ashwinee Panda; Kaifeng Lyu; Xiao Ma; Subhrajit Roy; Ahmad Beirami; Prateek Mittal; Peter Henderson Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Safety Alignment; AI Safety; LLM; fairness; safety; privacy; and societal considerations
396	The Hidden Cost of Waiting for Accurate Predictions Authors: Ali Shirali; Ariel D. Procaccia; Rediet Abebe Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Algorithmic Decision Making; Prediction; Resource Allocation; Social Welfare; Limits of Prediction; fairness; safety; privacy; and societal considerations
397	Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement Authors: Jaehun Jung; Faeze Brahman; Yejin Choi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Oral Keywords: Large Language Model; LLM; LLM Judge; Evaluation; Alignment; fairness; safety; privacy; and societal considerations
398	BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models Authors: Yu Feng; Ben Zhou; Weidong Lin; Dan Roth 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 models; Reasoning; Planning; Trustworthiness; Interpretability; Probability Estimation; Bayesian Methods; audio; language; and other modalities
399	ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding Authors: Zhengzhuo Xu; Bowen Qu; Yiyan Qi; SiNan Du; Chengjin Xu; Chun Yuan; Jian Guo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Multimodal Large Language Models; Chart Reasoning; Mixture of Expert; audio; language; and other modalities
400	Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model Authors: Han Lin; Jaemin Cho; Abhay Zala; Mohit Bansal Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Adapter; Diffusion; ControlNet; Text-to-video Generation; Image-to-video Generation; Text-to-image Generation; audio; language; and other modalities
401	CyberHost: A One-stage Diffusion Framework for Audio-driven Talking Body Generation Authors: Gaojie Lin; Jianwen Jiang; Chao Liang; Tianyun Zhong; Jiaqi Yang; Zerong Zheng; Yanbo Zheng 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; and other modalities
402	DSPO: Direct Score Preference Optimization for Diffusion Model Alignment Authors: Huaisheng Zhu; Teng Xiao; Vasant G Honavar 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-image generation; audio; language; and other modalities
403	EmbodiedSAM: Online Segment Any 3D Thing in Real Time Authors: Xiuwei Xu; Huangxing Chen; Linqing Zhao; Ziwei Wang; 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: Oral Keywords: 3d instance segmentation; online 3d scene segmentation; audio; language; and other modalities
404	High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation Authors: Ziye Wang; Yiran Qin; Lin Zeng; Ruimao Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: 3D Gaussian; Dynamic Reconstruction; Radar Prediction; Weather Nowcasting; audio; language; and other modalities
405	Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding Authors: Xin Gu; Yaojie Shen; Chenxi Luo; Tiejian Luo; Yan Huang; Yuewei Lin; Heng Fan; Libo Zhang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Spatio-Temporal Video Grounding; audio; language; and other modalities
406	LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias Authors: Haian Jin; Hanwen Jiang; Hao Tan; Kai Zhang; Sai Bi; Tianyuan Zhang; Fujun Luan; Noah Snavely; Zexiang Xu 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; transformer; large model; audio; language; and other modalities
407	Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency Authors: Jianwen Jiang; Chao Liang; Jiaqi Yang; Gaojie Lin; Tianyun Zhong; Yanbo Zheng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Diffusion Model; Avatar; Portrait Animation; Audio-Condition Video Generation; audio; language; and other modalities
408	Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents Authors: Boyu Gou; Ruohan Wang; Boyuan Zheng; Yanan Xie; Cheng Chang; Yiheng Shu; 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: Oral Keywords: GUI Agents; Visual Grounding; Multimodal Large Language Models; GUI Grounding; Large Language Model; audio; language; and other modalities
409	NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields Authors: Hanqiao Ye; Yuzhou Liu; Yangdong Liu; Shuhan Shen Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: 3D Reconstruction; 3D Scene Understanding; Scene Abstraction; Neural Rendering; audio; language; and other modalities
410	No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images Authors: Botao Ye; Sifei Liu; Haofei Xu; Xueting Li; Marc Pollefeys; Ming-Hsuan Yang; Songyou Peng Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: 3D Gaussian Splatting; Pose Free; Pose Estimation; Novel View Synthesis; 3D Reconstruction; audio; language; and other modalities
411	Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation Authors: Yongxian Wei; Zixuan Hu; Li Shen; Zhenyi Wang; Chun Yuan; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Data-Free Learning; CLIP Model; Customization; audio; language; and other modalities
412	Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation Authors: Mohamed El Amine Boudjoghra; Angela Dai; Jean Lahoud; Hisham Cholakkal; Rao Muhammad Anwer; Salman Khan; Fahad Shahbaz Khan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: Open Vocabulary; 3D point cloud instance segmentation; audio; language; and other modalities
413	RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything Authors: Shilin Xu; Haobo Yuan; Qingyu Shi; Lu Qi; Jingbo Wang; Yibo Yang; Yining Li; Kai Chen; Yunhai Tong; Bernard Ghanem; Xiangtai Li; Ming-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: segment anything; real-time segmentation; multi-purpose model; audio; language; and other modalities
414	SAM 2: Segment Anything in Images and Videos Authors: Nikhila Ravi; Valentin Gabeur; Yuan-Ting Hu; Ronghang Hu; Chaitanya Ryali; Tengyu Ma; Haitham Khedr; Roman Rädle; Chloe Rolland; Laura Gustafson; Eric Mintun; Junting Pan; Kalyan… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: computer vision; video segmentation; image segmentation; audio; language; and other modalities
415	Scaling In-the-Wild Training for Diffusion-based Illumination Harmonization and Editing by Imposing Consistent Light Transport Authors: Lvmin Zhang; Anyi Rao; Maneesh Agrawala Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: diffusion model; illumination editing; image editing; audio; language; and other modalities
416	TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation Authors: Haiyang Liu; Xingchao Yang; Tomoya Akiyama; Yuantian Huang; Qiaoge Li; Shigeru Kuriyama; Takafumi Taketomi Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: co-speech video generation; cross-modal retrieval; audio repsentation learning; motion repsentation learning; video frame interpolation; audio; language; and o…
417	TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes Authors: Minghao Guo; Bohan Wang; Kaiming He; Wojciech Matusik Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Oral Keywords: geometry representation; 3D modeling; audio; language; and other modalities
418	A Computational Framework for Modeling Emergence of Color Vision in the Human Brain Authors: Atsunobu Kotani; Ren Ng Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Oral Keywords: color vision; computational neuroscience; retina simulation; cortical learning; self-supervised learning; color blindness
419	Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration Authors: Chen Jiang; Jiahui An; Yating Liu; Ni Ji Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Oral Keywords: explore-exploit; stochastic Hopfield network; Thompson sampling; decision under uncertainty; brain-inspired algorithm; reinforcement learning
420	Comparing noisy neural population dynamics using optimal transport distances Authors: Amin Nejatbakhsh; Victor Geadah; Alex H Williams; David Lipshutz Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Oral Keywords: Representational similarity; shape metrics; optimal transport; Wasserstein distance
421	Learning and aligning single-neuron invariance manifolds in visual cortex Authors: Mohammad Bashiri; Luca Baroni; Ján Antolík; Fabian H. Sinz Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Oral Keywords: neural invariances; invariance manifold; MEI; implicit neural representations; contrastive learning; invariance alignment; clustering; visual cortex; macaque V…
422	Population Transformer: Learning Population-level Representations of Neural Activity Authors: Geeling Chau; Christopher Wang; Sabera J Talukder; Vighnesh Subramaniam; Saraswati Soedarmadji; Yisong Yue; Boris Katz; Andrei Barbu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Oral Keywords: representation learning; neuroscience; self supervised learning
423	TopoLM: brain-like spatio-functional organization in a topographic language model Authors: Neil Rathi; Johannes Mehrer; Badr AlKhamissi; Taha Osama A Binhuraib; Nicholas Blauch; Martin Schrimpf Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Oral Keywords: language modeling; topography; fMRI; neuroscience
424	Composing Unbalanced Flows for Flexible Docking and Relaxation Authors: Gabriele Corso; Vignesh Ram Somnath; Noah Getz; Regina Barzilay; Tommi Jaakkola; Andreas Krause Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: molecular docking; flow matching; structure relaxation; unbalanced transport; chemistry; biology; etc.)
425	GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling Authors: Honghui Wang; Shiji Song; Gao Huang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: Partial Differential Equations; Neural Fields; chemistry; biology; etc.)
426	KAN: Kolmogorov–Arnold Networks Authors: Ziming Liu; Yixuan Wang; Sachin Vaidya; Fabian Ruehle; James Halverson; Marin Soljacic; Thomas Y. Hou; Max Tegmark Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: Kolmogorov-Arnold networks; Kolmogorov-Arnold representation theorem; learnable activation functions; interpretability; AI + Science; chemistry; biology; etc.)
427	LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Authors: Parshin Shojaee; Kazem Meidani; Shashank Gupta; Amir Barati Farimani; Chandan K. Reddy Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: Symbolic Regression; Equation Discovery; Large Language Models; Evolutionary Search; chemistry; biology; etc.)
428	Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Authors: Mario Lino Valencia; Tobias Pfaff; Nils Thuerey Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: Graph Neural Networks; Diffusion Models; Physics Simulations; chemistry; biology; etc.)
429	Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport Authors: Zhenyi 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: Oral Keywords: optimal transport; Schrödinger bridge; trajectory inference; single-cell; chemistry; biology; etc.)
430	Learning to Discover Regulatory Elements for Gene Expression Prediction Authors: Xingyu Su; Haiyang Yu; Degui Zhi; Shuiwang Ji Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: Gene Expression; Deep Learning; Sequence Modeling; chemistry; biology; etc.)
431	On the Benefits of Memory for Modeling Time-Dependent PDEs Authors: Ricardo Buitrago; Tanya Marwah; Albert Gu; Andrej Risteski Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: State Space Models; Partial Differential Equations; chemistry; biology; etc.)
432	ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids Authors: Hannes Stark; Bowen Jing; Tomas Geffner; Jason Yim; Tommi Jaakkola; Arash Vahdat; Karsten Kreis Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: protein design; diffusion model; controllable generation; drug discovery; proteins; biology; chemistry; biology; etc.)
433	Proteina: Scaling Flow-based Protein Structure Generative Models Authors: Tomas Geffner; Kieran Didi; Zuobai Zhang; Danny Reidenbach; Zhonglin Cao; Jason Yim; Mario Geiger; Christian Dallago; Emine Kucukbenli; Arash Vahdat; Karsten Kreis Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: protein structure generation; de novo protein design; flow matching; fold class conditioning; chemistry; biology; etc.)
434	ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design Authors: Keir Adams; Kento Abeywardane; Jenna Fromer; Connor W. Coley Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Oral Keywords: 3D molecular generation; drug design; molecules; chemistry; biology; etc.)
435	Steering Protein Family Design through Profile Bayesian Flow Authors: Jingjing Gong; Yu Pei; Siyu Long; Yuxuan Song; Zhe Zhang; Wenhao Huang; Ziyao Cao; Shuyi Zhang; 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: protein family generation; homologous protein generation; protein design; bayesian flow; chemistry; biology; etc.)
436	AFlow: Automating Agentic Workflow Generation Authors: Jiayi Zhang; Jinyu Xiang; Zhaoyang Yu; Fengwei Teng; Xiong-Hui Chen; Jiaqi Chen; Mingchen Zhuge; Xin Cheng; Sirui Hong; Jinlin Wang; Bingnan Zheng; Bang Liu; Yuyu Luo; Chenglin Wu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: LLM Agent; Prompt Optimization; Workflow Generation; autonomy; planning
437	Data Scaling Laws in Imitation Learning for Robotic Manipulation Authors: Fanqi Lin; Yingdong Hu; Pingyue Sheng; Chuan Wen; Jiacheng You; Yang Gao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: Data Scaling Laws; Imitation Learning; Robotic Manipulation; autonomy; planning
438	Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Authors: Yinan Zheng; Ruiming Liang; Kexin ZHENG; Jinliang Zheng; Liyuan Mao; Jianxiong Li; Weihao Gu; Rui Ai; Shengbo Eben Li; Xianyuan Zhan; Jingjing Liu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: diffusion planning; autonomous driving; autonomy; planning
439	Instant Policy: In-Context Imitation Learning via Graph Diffusion Authors: Vitalis Vosylius; Edward Johns Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: In-context Imitation Learning; Robotic Manipulation; Graph Neural Networks; Diffusion Models; autonomy; planning
440	LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement Authors: Zijie Geng; Jie Wang; Ziyan Liu; Siyuan Xu; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye HAO; Feng Wu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: Macro placement; Chip design; EDA; autonomy; planning
441	Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation Authors: Yang Tian; Sizhe Yang; Jia Zeng; Ping Wang; Dahua Lin; Hao Dong; Jiangmiao Pang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Oral Keywords: Robotic Manipulation; Pre-training; Visual Foresight; Inverse Dynamics; Large-scale robot dataset; autonomy; planning
442	Reasoning Elicitation in Language Models via Counterfactual Feedback Authors: Alihan Hüyük; Xinnuo Xu; Jacqueline R. M. A. Maasch; Aditya V. Nori; Javier Gonzalez Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Oral Keywords: language models; reasoning; fine-tuning; counterfactuals
443	When Selection Meets Intervention: Additional Complexities in Causal Discovery Authors: Haoyue Dai; Ignavier Ng; Jianle Sun; Zeyu Tang; Gongxu Luo; Xinshuai Dong; Peter Spirtes; Kun Zhang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Oral Keywords: causal discovery; selection bias; experiments; interventions
444	A Decade's Battle on Dataset Bias: Are We There Yet? Authors: Zhuang Liu; Kaiming He Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Vision datasets; Dataset bias; Deep learning
445	BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions Authors: Terry Yue Zhuo; Vu Minh Chien; Jenny Chim; Han Hu; Wenhao Yu; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen GONG; James Hoan… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Code Generation; Tool Use; Instruction Following; Benchmark
446	Consistency Checks for Language Model Forecasters Authors: Daniel Paleka; Abhimanyu Pallavi Sudhir; Alejandro Alvarez; Vineeth Bhat; Adam Shen; Evan Wang; Florian Tramèr Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: forecasting; markets; trading; LLM; evaluation; eval; consistency; robustness
447	Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models Authors: Andy K Zhang; Neil Perry; Riya Dulepet; Joey Ji; Celeste Menders; Justin W Lin; Eliot Jones; Gashon Hussein; Samantha Liu; Donovan Julian Jasper; Pura Peetathawatchai; Ari Glenn;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Language Model Agents; Benchmark; Cybersecurity; Risk
448	Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs Authors: Siyan Zhao; Mingyi Hong; Yang Liu; Devamanyu Hazarika; Kaixiang Lin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: personalization; benchmark; Large language models; conversational llm; chatbots
449	Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping Authors: Yue Yang; Shuibo Zhang; Kaipeng Zhang; Yi Bin; Yu Wang; Ping Luo; Wenqi Shao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Dynamic Evaluation; Vision-Language Bootstrapping; data contamination; Flexible Complexity; Large Vision-Language Model
450	ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials Authors: Pin Chen; Zexin Xu; Qing Mo; Hongjin Zhong; Fengyang Xu; Yutong Lu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Electronic Charge Density; Crystalline Inorganic Materials; Graph Neural Network; Dataset
451	MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering Authors: Jun Shern Chan; Neil Chowdhury; Oliver Jaffe; James Aung; Dane Sherburn; Evan Mays; Giulio Starace; Kevin Liu; Leon Maksin; Tejal Patwardhan; Aleksander Madry; Lilian Weng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: benchmark; evals; evaluations; dataset; tasks; data science; engineering; agents; language agents; scaffold; coding; swe; mle
452	MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models Authors: Peng Xia; Siwei Han; Shi Qiu; Yiyang Zhou; Zhaoyang Wang; Wenhao Zheng; Zhaorun Chen; Chenhang Cui; Mingyu Ding; Linjie Li; Lijuan Wang; Huaxiu Yao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: large vision-language model; interleaved text-and-image evaluation
453	MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions Authors: Jian Wu; Linyi Yang; Dongyuan Li; Yuliang Ji; Manabu Okumura; Yue Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: LLM evaluation; multi-table question answering; multi-hop question answering
454	PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration Authors: Yuxuan Sun; Yunlong Zhang; Yixuan Si; Chenglu Zhu; Kai Zhang; Zhongyi Shui; Jingxiong Li; Xuan Gong; XINHENG LYU; Tao Lin; Lin Yang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Image-text pairs generation; Vision-language models; Multi-agent collaboration
455	PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Authors: Wei Chow; Jiageng Mao; Boyi Li; Daniel Seita; Vitor Campagnolo Guizilini; Yue Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: vision-language; multi-modal understanding
456	RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style Authors: Yantao Liu; Zijun Yao; Rui Min; Yixin Cao; Lei Hou; Juanzi Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Reward Models; Language Models; Evaluation; Alignment
457	Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation Authors: Chenbin Zhang; Zhiqiang Hu; Jiang Chuchu; Wen Chen; JIE XU; Shaoting Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Drug-Target Affinity Prediction; Similarity-Aware Evaluation
458	Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows Authors: Fangyu Lei; Jixuan Chen; Yuxiao Ye; Ruisheng Cao; Dongchan Shin; Hongjin SU; ZHAOQING SUO; Hongcheng Gao; Wenjing Hu; Pengcheng Yin; Victor Zhong; Caiming Xiong; Ruoxi Sun; Qian L… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: LLM Benchmark; Data Science and Engineering; Code Generation; Text-to-SQL; LLM Agent
459	miniCTX: Neural Theorem Proving with (Long-)Contexts Authors: Jiewen Hu; Thomas Zhu; Sean Welleck Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Oral Keywords: Neural theorem proving; Formal mathematics; Benchmark dataset
460	Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates Authors: Xiaosen Zheng; Tianyu Pang; Chao Du; Qian Liu; Jing Jiang; Min Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Large Language Models; Cheating; Automatic LLM Benchmarks; including LLMs
461	Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance Authors: Sachin Goyal; Christina Baek; J Zico Kolter; Aditi Raghunathan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Instruction finetuning; context-vs-parametric reliance; including LLMs
462	Cut Your Losses in Large-Vocabulary Language Models Authors: Erik Wijmans; Brody Huval; Alexander Hertzberg; Vladlen Koltun; Philipp Kraehenbuehl Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: large language model; large vocabulary; including LLMs
463	DEPT: Decoupled Embeddings for Pre-training Language Models Authors: Alex Iacob; Lorenzo Sani; Meghdad Kurmanji; William F. Shen; Xinchi Qiu; Dongqi Cai; Yan Gao; Nicholas Donald Lane Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Decentralized Training; Federated Learning; Multi-domain Training; Multilingual Training; including LLMs
464	Data Selection via Optimal Control for Language Models Authors: Yuxian Gu; Li Dong; Hongning Wang; Yaru Hao; Qingxiu Dong; Furu Wei; Minlie Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Pre-training Language Models; Data Selection; Optimal Control; including LLMs
465	Differential Transformer Authors: Tianzhu Ye; Li Dong; Yuqing Xia; Yutao Sun; Yi Zhu; Gao Huang; Furu Wei Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: sequence modeling; language models; model architecture; Transformer; including LLMs
466	Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference under Ambiguities Authors: Zheyuan Zhang; Fengyuan Hu; Jayjun Lee; Freda Shi; Parisa Kordjamshidi; Joyce Chai; Ziqiao Ma Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: vision-language models; spatial reasoning; multimodal reasoning; including LLMs
467	Emergence of meta-stable clustering in mean-field transformer models Authors: Giuseppe Bruno; Federico Pasqualotto; Andrea Agazzi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Mean-field limits; Transformers; Meta-stability; Clustering; including LLMs
468	Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment Authors: Gregor Bachmann; Sotiris Anagnostidis; Albert Pumarola; Markos Georgopoulos; Artsiom Sanakoyeu; Yuming Du; Edgar Schönfeld; Ali Thabet; Jonas K Kohler Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LLM inference; speculative decoding; including LLMs
469	Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition Authors: Jiyeon Kim; Hyunji Lee; Hyowon Cho; Joel Jang; Hyeonbin Hwang; Seungpil Won; Youbin Ahn; Dohaeng Lee; Minjoon Seo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: knowledge entropy; knowledge acquisition and forgetting; evolving behavior during LLM pretraining; including LLMs
470	Learning Dynamics of LLM Finetuning Authors: Yi Ren; Danica J. Sutherland Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Learning dynamics; LLM; finetuning; DPO; including LLMs
471	Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Authors: Yuda Song; Hanlin Zhang; Carson Eisenach; Sham M. Kakade; Dean Foster; Udaya Ghai Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LLM; self-improvement; synthetic data; post-training; test-time optimization; including LLMs
472	MoDeGPT: Modular Decomposition for Large Language Model Compression Authors: Chi-Heng Lin; Shangqian Gao; James Seale Smith; Abhishek Patel; Shikhar Tuli; Yilin Shen; Hongxia Jin; Yen-Chang Hsu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LLM; model compression; matrix decomposition; including LLMs
473	MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts Authors: Peng Jin; Bo Zhu; Li Yuan; Shuicheng YAN 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; Efficient Foundation Models; including LLMs
474	OLMoE: Open Mixture-of-Experts Language Models Authors: Niklas Muennighoff; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Jacob Morrison; Sewon Min; Weijia Shi; Evan Pete Walsh; Oyvind Tafjord; Nathan Lambert; Yuling Gu; Shane Arora; Akshit… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: large language models; mixture-of-experts; open-source; including LLMs
475	REEF: Representation Encoding Fingerprints for Large Language Models Authors: Jie Zhang; Dongrui Liu; Chen Qian; Linfeng Zhang; Yong Liu; Yu Qiao; Jing Shao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Large Language Model; Fingerprint; Representation; Intellectual Property; including LLMs
476	ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement Authors: XIANGYU PENG; Congying Xia; Xinyi Yang; Caiming Xiong; Chien-Sheng Wu; Chen Xing Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: LLM; reasoning; generalization; self-improvement; including LLMs
477	Rethinking Reward Modeling in Preference-based Large Language Model Alignment Authors: Hao Sun; Yunyi Shen; Jean-Francois Ton Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Bradley-Terry Model; Reward Modeling; Large Language Models; including LLMs
478	Retrieval Head Mechanistically Explains Long-Context Factuality Authors: Wenhao Wu; Yizhong Wang; Guangxuan Xiao; Hao Peng; Yao Fu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Large language models; long context; interpretability; attention; including LLMs
479	STAR: Synthesis of Tailored Architectures Authors: Armin W Thomas; Rom Parnichkun; Alexander Amini; Stefano Massaroli; Michael Poli Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: alternative architectures; deep signal processing; language models; including LLMs
480	Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning Authors: Charlie Victor Snell; Jaehoon Lee; Kelvin Xu; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: test-time compute; LLMs; scaling; language models; including LLMs
481	Scaling Laws for Precision Authors: Tanishq Kumar; Zachary Ankner; Benjamin Frederick Spector; Blake Bordelon; Niklas Muennighoff; Mansheej Paul; Cengiz Pehlevan; Christopher Re; Aditi Raghunathan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: quantization; scaling laws; precision; language models; including LLMs
482	Synthetic continued pretraining Authors: Zitong Yang; Neil Band; Shuangping Li; Emmanuel Candes; Tatsunori Hashimoto Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: large language model; synthetic data; continued pretraining; including LLMs
483	Training Language Models to Self-Correct via Reinforcement Learning Authors: Aviral Kumar; Vincent Zhuang; Rishabh Agarwal; Yi Su; John D Co-Reyes; Avi Singh; Kate Baumli; Shariq Iqbal; Colton Bishop; Rebecca Roelofs; Lei M Zhang; Kay McKinney; Disha Shriv… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: language models; reinforcement learning; including LLMs
484	Training on the Test Task Confounds Evaluation and Emergence Authors: Ricardo Dominguez-Olmedo; Florian E. Dorner; Moritz Hardt Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: language models; benchmarking; emergence; including LLMs
485	Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model Authors: Chunting Zhou; LILI YU; Arun Babu; Kushal Tirumala; Michihiro Yasunaga; Leonid Shamis; Jacob Kahn; Xuezhe Ma; Luke Zettlemoyer; Omer Levy Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: multimodal foundation model; multimodal generation and understanding; diffusion; next token prediction; including LLMs
486	Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs Authors: Nguyen Nhat Minh; Andrew Baker; Clement Neo; Allen G Roush; Andreas Kirsch; Ravid Shwartz-Ziv Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Natural Language Processing; Large Language Models; Text Generation; Sampling Methods; Truncation Sampling; Stochastic Sampling; Min-p Sampling; Top-p Sampling…
487	WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct Authors: Haipeng Luo; Qingfeng Sun; Can Xu; Pu Zhao; Jian-Guang Lou; Chongyang Tao; Xiubo Geng; Qingwei Lin; Shifeng Chen; Yansong Tang; Dongmei Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Mathematical Reasoning; Evol-Instruct; Reinforcement Learning; including LLMs
488	Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free Authors: Ziyue Li; Tianyi Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Oral Keywords: Mixture of Experts; including LLMs
489	Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models Authors: Marianne Arriola; Aaron Gokaslan; Justin T Chiu; Zhihan Yang; Zhixuan Qi; Jiaqi Han; Subham Sekhar Sahoo; Volodymyr Kuleshov Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Diffusion Models; Text Diffusion; Generative Models
490	Faster Cascades via Speculative Decoding Authors: Harikrishna Narasimhan; Wittawat Jitkrittum; Ankit Singh Rawat; Seungyeon Kim; Neha Gupta; Aditya Krishna Menon; Sanjiv Kumar Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Cascades; Speculative Decoding; Speculative execution; LLM; Inference; Adaptive Inference
491	Feedback Schrödinger Bridge Matching Authors: Panagiotis Theodoropoulos; Nikolaos Komianos; Vincent Pacelli; Guan-Horng Liu; Evangelos Theodorou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Diffusion models; Schrödinger bridge; Distribution matching; Semi-Supervised Learning
492	FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference Authors: Xunhao Lai; Jianqiao Lu; Yao Luo; Yiyuan Ma; Xun Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Large Language Models (LLMs); LLM inference; Long-context LLMs; Sparse Attention Mechanism
493	Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective Authors: Neta Shaul; Itai Gat; Marton Havasi; Daniel Severo; Anuroop Sriram; Peter Holderrieth; Brian Karrer; Yaron Lipman; Ricky T. Q. Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: flow matching; discrete generative modeling
494	Generator Matching: Generative modeling with arbitrary Markov processes Authors: Peter Holderrieth; Marton Havasi; Jason Yim; Neta Shaul; Itai Gat; Tommi Jaakkola; Brian Karrer; Ricky T. Q. Chen; Yaron Lipman Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Flow matching; Markov process; Diffusion model; Generative Modeling
495	Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching Authors: Zijing Ou; Mingtian Zhang; Andi Zhang; Tim Z. Xiao; Yingzhen Li; David Barber Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Diffusion Model; Generative Model; Probalistic Modelling
496	LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior Authors: Hanyu Wang; Saksham Suri; Yixuan Ren; Hao Chen; Abhinav Shrivastava Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Video Generation; Visual Tokenization
497	Learning to Discretize Denoising Diffusion ODEs Authors: Vinh Tong; Dung Trung Hoang; Anji Liu; Guy Van den Broeck; Mathias Niepert Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Diffusion models; Efficient Sampling; Ordinary Differentiable Equations
498	One Step Diffusion via Shortcut Models Authors: Kevin Frans; Danijar Hafner; Sergey Levine; Pieter Abbeel Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: diffusion; flow-matching; fast inference; distillation
499	Progressive Compression with Universally Quantized Diffusion Models Authors: Yibo Yang; Justus Will; Stephan Mandt Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: diffusion; generative modeling; compression; universal quantization
500	RB-Modulation: Training-Free Stylization using Reference-Based Modulation Authors: Litu Rout; Yujia Chen; Nataniel Ruiz; Abhishek Kumar; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Inverse Problems; Generative Modeling; Diffusion Models; Posterior Sampling; Optimal Control; Test-time Optimization
501	Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Authors: Sihyun Yu; Sangkyung Kwak; Huiwon Jang; Jongheon Jeong; Jonathan Huang; Jinwoo Shin; Saining Xie Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Diffusion models; Representation learning
502	Restructuring Vector Quantization with the Rotation Trick Authors: Christopher Fifty; Ronald Guenther Junkins; Dennis Duan; Aniketh Iyengar; Jerry Weihong Liu; Ehsan Amid; Sebastian Thrun; Christopher Re Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Vector Quantization; VQ-VAE
503	SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers Authors: Enze Xie; Junsong Chen; Junyu Chen; Han Cai; Haotian Tang; Yujun Lin; Zhekai Zhang; Muyang Li; Ligeng Zhu; Yao Lu; Song Han Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Efficient AI; Diffusion Models; Text to Image generation
504	Simplifying, Stabilizing and Scaling Continuous-time Consistency Models Authors: Cheng Lu; Yang Song Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: continuous-time consistency models; diffusion models; fast sampling
505	Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment Authors: Dongyoung Kim; Kimin Lee; Jinwoo Shin; Jaehyung Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: large language model; alignment; preference
506	SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups Authors: Yongxing Zhang; Donglin Yang; Renjie Liao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: Finite Symmetric Groups; Discrete Diffusion; Permutations; Riffle Shuffles; Plackett-Luce Distribution; Sorting; Jigsaw Puzzle
507	Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment Authors: Huayu Chen; Hang Su; Peize Sun; Jun Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Oral Keywords: autoregressive; generative models; image generation; multimodal; alignment; RLHF; classifier-free guidance
508	CAX: Cellular Automata Accelerated in JAX Authors: Maxence Faldor; Antoine Cully Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Oral Keywords: cellular automata; emergence; self-organization; neural cellular automata; software libraries; hardware; systems; etc.
509	On Scaling Up 3D Gaussian Splatting Training Authors: Hexu Zhao; Haoyang Weng; Daohan Lu; Ang Li; Jinyang Li; Aurojit Panda; Saining Xie Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Oral Keywords: Gaussian Splatting; Machine Learning System; Distributed Training; software libraries; hardware; systems; etc.
510	AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text Authors: Ximing Lu; Melanie Sclar; Skyler Hallinan; Niloofar Mireshghallah; Jiacheng Liu; Seungju Han; Allyson Ettinger; Liwei Jiang; Khyathi Chandu; Nouha Dziri; Yejin Choi Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: Machine Creativity; Large Language Model; Science of LLM; Machine Text Detection
511	Attention as a Hypernetwork Authors: Simon Schug; Seijin Kobayashi; Yassir Akram; Joao Sacramento; Razvan Pascanu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: attention; compositional generalization; abstract reasoning; in-context learning; transformer; mechanistic interpretability
512	Capturing the Temporal Dependence of Training Data Influence Authors: Jiachen T. Wang; Dawn Song; James Zou; Prateek Mittal; Ruoxi Jia Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: data attribution
513	Data Shapley in One Training Run Authors: Jiachen T. Wang; Prateek Mittal; Dawn Song; Ruoxi Jia Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: Shapley value; data valuation.
514	Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models Authors: Javier Ferrando; Oscar Balcells Obeso; Senthooran Rajamanoharan; Neel Nanda Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: Mechanistic Interpretability; Hallucinations; Language Models
515	Influence Functions for Scalable Data Attribution in Diffusion Models Authors: Bruno Kacper Mlodozeniec; Runa Eschenhagen; Juhan Bae; Alexander Immer; David Krueger; Richard E. Turner Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: diffusion models; influence functions; Generalised Gauss Newton; GGN; data attribution; Hessian approximation; interpretability; curvature; Kronecker-Factored…
516	Interpreting Emergent Planning in Model-Free Reinforcement Learning Authors: Thomas Bush; Stephen Chung; Usman Anwar; Adrià Garriga-Alonso; David Krueger Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: reinforcement learning; interpretability; planning; probes; model-free; mechanistic interpretability; sokoban
517	Linear Representations of Political Perspective Emerge in Large Language Models Authors: Junsol Kim; James Evans; Aaron Schein Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: large language model; political perspective; ideology; representation learning
518	Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery Authors: Xiao Han; Saima Absar; Lu Zhang; Shuhan Yuan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: root cause analysis; Granger causality; multivariate time series
519	Scaling and evaluating sparse autoencoders Authors: Leo Gao; Tom Dupre la Tour; Henk Tillman; Gabriel Goh; Rajan Troll; Alec Radford; Ilya Sutskever; Jan Leike; Jeffrey Wu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: interpretability; sparse autoencoders; superposition; scaling laws
520	Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Authors: Samuel Marks; Can Rager; Eric J Michaud; Yonatan Belinkov; David Bau; Aaron Mueller Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: Interpretability; mechanistic interpretability; circuits; spurious correlations; generalization; dictionary learning
521	The Geometry of Categorical and Hierarchical Concepts in Large Language Models Authors: Kiho Park; Yo Joong Choe; Yibo Jiang; Victor Veitch Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: categorical concepts; hierarchical concepts; linear representation hypothesis; causal inner product; interpretability
522	Unlearning-based Neural Interpretations Authors: Ching Lam Choi; Alexandre Duplessis; Serge Belongie Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: Explainability; Attribution; Debiasing; Bias
523	What should a neuron aim for? Designing local objective functions based on information theory Authors: Andreas Christian Schneider; Valentin Neuhaus; David Alexander Ehrlich; Abdullah Makkeh; Alexander S Ecker; Viola Priesemann; Michael Wibral Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Oral Keywords: local learning; interpretability; neuro-inspired; information theory; partial information decomposition
524	A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules Authors: Shih-Hsin Wang; Yuhao Huang; Justin M. Baker; Yuan-En Sun; Qi Tang; Bao Wang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: Graph representation; sparsity; connectivity; rigidity; molecules
525	GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation Authors: Ziwei Yang; Zheng Chen; Xin Liu; Rikuto Kotoge; Peng Chen; Yasuko Matsubara; Yasushi Sakurai; Jimeng Sun Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: Gene Functional Networks; Disease Subtypes; Bioinformatics
526	Homomorphism Expressivity of Spectral Invariant Graph Neural Networks Authors: Jingchu Gai; Yiheng Du; Bohang Zhang; Haggai Maron; Liwei Wang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: Graph Neural Network; Expressive Power; Spectral Invariant; Graph Homomorphism; Weisfeiler-Lehman
527	Joint Graph Rewiring and Feature Denoising via Spectral Resonance Authors: Jonas Linkerhägner; Cheng Shi; Ivan Dokmanić Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: GNNs; Rewiring; Denoising; Spectral Resonance; cSBM
528	On the Hölder Stability of Multiset and Graph Neural Networks Authors: Yair Davidson; Nadav Dym Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: graph neural networks; message passing neural networks; multiset neural networks; neural network stability; expressive power; WL tests
529	Subgraph Federated Learning for Local Generalization Authors: Sungwon Kim; Yoonho Lee; Yunhak Oh; Namkyeong Lee; Sukwon Yun; Junseok Lee; Sein Kim; Carl Yang; Chanyoung Park 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 Federated Learning
530	Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity Authors: Yam Eitan; Yoav Gelberg; Guy Bar-Shalom; Fabrizio Frasca; Michael M. Bronstein; Haggai Maron Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: Topological Deep Learning; Message Passing; Higher Order Message Passing; Expressivity; Graph Neural Networks; GNNs; Topology; Homology; Symmetry
531	Towards a Complete Logical Framework for GNN Expressiveness Authors: Tuo Xu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Oral Keywords: graph neural networks; logic
532	Feedback Favors the Generalization of Neural ODEs Authors: Jindou Jia; Zihan Yang; Meng Wang; Kexin Guo; Jianfei Yang; Xiang Yu; Lei Guo Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Oral Keywords: Neural ODEs; feedback; generalization; learning dynamical systems; model predictive control
533	Oscillatory State-Space Models Authors: T. Konstantin Rusch; Daniela Rus Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Oral Keywords: state-space models; sequence models; oscillators; long-range interactions; time-series
534	TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Authors: Shiyu Wang; Jiawei LI; Xiaoming Shi; Zhou Ye; Baichuan Mo; Wenze Lin; Ju Shengtong; Zhixuan Chu; Ming Jin Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Oral Keywords: time series; pattern machine; predictive analysis
535	Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model Authors: Siyu Chen; Beining Wu; Miao Lu; Zhuoran Yang; Tianhao Wang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: single-index model; feature learning; gradient-based method; computational-statistical tradeoff
536	Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games Authors: Yanzheng Chen; Jun Yu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: time-varying games; Nash equilibrium; extra gradient algorithm; optimistic gradient algorithm
537	Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality Authors: Sungyoon Kim; Aaron Mishkin; Mert Pilanci Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Convex duality; Machine Learning Theory; Loss Landscape; Optimal Sets
538	Global Convergence in Neural ODEs: Impact of Activation Functions Authors: Tianxiang Gao; Siyuan Sun; Hailiang Liu; Hongyang Gao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Neural ODEs; Gradient Descent; Neural Tangent Kernel (NTK)
539	Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent Authors: Sayan Banerjee; Krishna Balasubramanian; PROMIT GHOSAL Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Stein Variational Gradient Descent; Non-asymptotic Rates; Variational Inference
540	Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data Authors: Florian E. Dorner; Vivian Yvonne Nastl; Moritz Hardt Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Evaluation; Benchmarking; Model-as-a-judge; Theory
541	Self-Improvement in Language Models: The Sharpening Mechanism Authors: Audrey Huang; Adam Block; Dylan J Foster; Dhruv Rohatgi; Cyril Zhang; Max Simchowitz; Jordan T. Ash; Akshay Krishnamurthy Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Learning theory; Sample complexity; Self-Improvement; Language Models
542	Tractable Multi-Agent Reinforcement Learning through Behavioral Economics Authors: Eric Mazumdar; Kishan Panaganti; Laixi Shi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: behavioral economics; risk-aversion; multi-agent reinforcement learning; quantal response; bounded rationality
543	Transformers Provably Solve Parity Efficiently with Chain of Thought Authors: Juno Kim; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: transformers; chain of thought; parity; self-consistency
544	When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers Authors: Hongkang Li; Yihua Zhang; Shuai Zhang; Pin-Yu Chen; Sijia Liu; Meng Wang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Oral Keywords: Task arithmetic; generalization; nonlinear Transformers; deep learning theory; machine unlearning
545	Accelerated training through iterative gradient propagation along the residual path Authors: Erwan Fagnou; Paul Caillon; Blaise Delattre; Alexandre Allauzen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: optimization; efficient training
546	LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization Authors: Jui-Nan Yen; Si Si; Zhao Meng; Felix Yu; Sai Surya Duvvuri; Inderjit S Dhillon; Cho-Jui Hsieh; Sanjiv Kumar Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: optimization; LoRA
547	Problem-Parameter-Free Federated Learning Authors: Wenjing Yan; Kai Zhang; Xiaolu Wang; Xuanyu Cao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: Adaptive federated learning; problem-parameter free; arbitrary data heterogeneity; adaptive stepsize
548	Second-Order Min-Max Optimization with Lazy Hessians Authors: Lesi Chen; Chengchang Liu; Jingzhao Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: min-max optimization; second-order methods; computational complexity
549	The Complexity of Two-Team Polymatrix Games with Independent Adversaries Authors: Alexandros Hollender; Gilbert Maystre; Sai Ganesh Nagarajan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: algorithmic game theory; Nash equilibrium; minmax optimization
550	Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity Authors: Site Bai; Brian Bullins Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: Convex Optimization; Uniform Convexity; Lower Bound; High-Order Method; Regularization; Hölder Smoothness
551	Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse Authors: Arthur Jacot; Peter Súkeník; Zihan Wang; Marco Mondelli Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: neural collapse; gradient descent training; weight decay; balancedness
552	Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection Authors: Ziqing Fan; Siyuan Du; Shengchao Hu; Pingjie Wang; Li Shen; Ya Zhang; Dacheng Tao; Yanfeng Wang 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: file selection; large language model; pre-training; submodular optimization; none of the above)
553	From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions Authors: Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Jun Xu; Ji-Rong Wen 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: Large Language Model; Tool Learning; Learning from Experience; none of the above)
554	HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models Authors: Qiushi Huang; Tom Ko; Zhan Zhuang; Lilian Tang; Yu Zhang 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: Parametric-efficient fine-tuning; Large Language Model; none of the above)
555	Inference Scaling for Long-Context Retrieval Augmented Generation Authors: Zhenrui Yue; Honglei Zhuang; Aijun Bai; Kai Hui; Rolf Jagerman; Hansi Zeng; Zhen Qin; Dong Wang; Xuanhui Wang; Michael Bendersky 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: inference scaling; long-context LLM; retrieval augmented generation; none of the above)
556	Language Representations Can be What Recommenders Need: Findings and Potentials Authors: Leheng Sheng; An Zhang; Yi Zhang; Yuxin Chen; Xiang Wang; Tat-Seng Chua 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: Collaborative filtering; Language-representation-based recommendation; Language models; Language model representations; none of the above)
557	Learning Randomized Algorithms with Transformers Authors: Johannes von Oswald; Seijin Kobayashi; Yassir Akram; Angelika Steger 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 algorithms; Learning under adversarial losses; Adversarial robustness; In-context learning algorithms; none of the above)
558	Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution Authors: Cuong C. Nguyen; Thanh-Toan Do; Gustavo Carneiro 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: learning to defer; expectation - maximisation; none of the above)
559	Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues Authors: Riccardo Grazzi; Julien Siems; Arber Zela; Jörg K.H. Franke; Frank Hutter; Massimiliano Pontil 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: State Tracking; State Space; Mamba; Linear RNN; Linear Attention; GLA; DeltaNet; Formal Languages; Products of Householders; none of the above)
560	Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Authors: Byoungwoo Park; Hyungi Lee; Juho Lee Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: stochastic optimal control; variational inference; state space model; irregular time series; variational inference; sampling; UQ; etc.)
561	Latent Bayesian Optimization via Autoregressive Normalizing Flows Authors: Seunghun Lee; Jinyoung Park; Jaewon Chu; Minseo Yoon; Hyunwoo J. Kim Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: Bayesian optimization; normalizing flow; variational inference; sampling; UQ; etc.)
562	Residual Deep Gaussian Processes on Manifolds Authors: Kacper Wyrwal; Andreas Krause; Viacheslav Borovitskiy Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: Gaussian processes; manifolds; deep Gaussian processes; probabilistic methods; variational inference; uncertainty quantification; geometric learning; variation…
563	Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization Authors: Zhitong Xu; Haitao Wang; Jeff M. Phillips; Shandian Zhe Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: Gaussian Process; Bayesian Optimization; High Dimensional Bayesian Optimization; variational inference; sampling; UQ; etc.)
564	Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo Authors: João Loula; Benjamin LeBrun; Li Du; Ben Lipkin; Clemente Pasti; Gabriel Grand; Tianyu Liu; Yahya Emara; Marjorie Freedman; Jason Eisner; Ryan Cotterell; Vikash Mansinghka; Alexand… Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: Sequential Monte Carlo; Language Models; Semantic parsing; Bayesian inference; Probabilistic programming; SMC; variational inference; sampling; UQ; etc.)
565	Variational Diffusion Posterior Sampling with Midpoint Guidance Authors: Badr MOUFAD; Yazid Janati; Lisa Bedin; Alain Oliviero Durmus; randal douc; Eric Moulines; Jimmy Olsson Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Oral Keywords: Diffusion models; Inverse problems; posterior sampling; variational inference; sampling; UQ; etc.)
566	Advantage Alignment Algorithms Authors: Juan Agustin Duque; Milad Aghajohari; Tim Cooijmans; razvan ciuca; Tianyu Zhang; Gauthier Gidel; Aaron Courville Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Multi-agent Reinforcement Learning; Opponent Shaping; Social Dilemmas; General-Sum Games
567	Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning Authors: Chongyi Zheng; Jens Tuyls; Joanne Peng; Benjamin Eysenbach Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: unsupervised learning; reinforcement learning; mutual information; successor feature
568	Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics Authors: Runzhe Wu; Ayush Sekhari; Akshay Krishnamurthy; Wen Sun Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: reinforcement learning theory; linear function approximation
569	DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL Authors: Mathias Jackermeier; Alessandro Abate Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: reinforcement learning; linear temporal logic; ltl; generalization
570	Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning Authors: Hyun Kyu Lee; Sung Whan Yoon Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Reinforcement learning; Flat Minima; Robust Reinforcement learning
571	Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces Authors: Saket Tiwari; Omer Gottesman; George Konidaris Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: reinforcement learning; deep learning; geometry
572	Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects Authors: Tai Hoang; Huy Le; Philipp Becker; Vien Anh Ngo; Gerhard Neumann Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Robotic Manipulation; Equivariance; Graph Neural Networks; Reinforcement Learning; Deformable Objects
573	Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning Authors: Yuheng Zhang; Dian Yu; Baolin Peng; Linfeng Song; Ye Tian; Mingyue Huo; Nan Jiang; Haitao Mi; Dong Yu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: RLHF Theory; LLM Alignment
574	Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Authors: Michael Matthews; Michael Beukman; Chris Lu; Jakob Nicolaus Foerster Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: reinforcement learning; open-endedness; unsupervised environment design; automatic curriculum learning; benchmark
575	Learning to Search from Demonstration Sequences Authors: Dixant Mittal; Liwei Kang; Wee Sun Lee Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: planning; reasoning; learning to search; reinforcement learning; large language model
576	MaestroMotif: Skill Design from Artificial Intelligence Feedback Authors: Martin Klissarov; Mikael Henaff; Roberta Raileanu; Shagun Sodhani; Pascal Vincent; Amy Zhang; Pierre-Luc Bacon; Doina Precup; Marlos C. Machado; Pierluca D'Oro Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Hierarchical RL; Reinforcement Learning; LLMs
577	Open-World Reinforcement Learning over Long Short-Term Imagination Authors: Jiajian Li; Qi Wang; Yunbo Wang; Xin Jin; Yang Li; Wenjun Zeng; Xiaokang Yang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: World models; reinforcement learning; visual control
578	OptionZero: Planning with Learned Options Authors: Po-Wei Huang; Pei-Chiun Peng; Hung Guei; Ti-Rong Wu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Option; Semi-MDP; MuZero; MCTS; Planning; Reinforcement Learning
579	Prioritized Generative Replay Authors: Renhao Wang; Kevin Frans; Pieter Abbeel; Sergey Levine; Alexei A Efros Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: online learning; model-based reinforcement learning; generative modeling; synthetic data; continual learning
580	REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments Authors: Kaustubh Sridhar; Souradeep Dutta; Dinesh Jayaraman; Insup Lee Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Oral Keywords: Generalist Agent; Retrieval; In-Context Learning; VLA; Imitation Learning; Reinforcement Learning
581	MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection Authors: Zhuoxiao Chen; Junjie Meng; Mahsa Baktashmotlagh; Yonggang Zhang; Zi Huang; Yadan Luo Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Oral Keywords: Test-Time Adaptation; 3D Object Detection; meta learning; and lifelong learning
582	Proxy Denoising for Source-Free Domain Adaptation Authors: Song Tang; Wenxin Su; Yan Gan; Mao Ye; Jianwei Dr. Zhang; Xiatian Zhu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Oral Keywords: Domain adaptation; source-free; multimodal proxy space; proxy confidence theory; meta learning; and lifelong learning
583	SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning Authors: Yichen Wu; Hongming Piao; Long-Kai Huang; Renzhen Wang; Wanhua Li; Hanspeter Pfister; Deyu Meng; Kede Ma; 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; Low-rank adaptation; meta learning; and lifelong learning
584	Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning Authors: Gangwei Jiang; Caigao JIANG; Zhaoyi Li; Siqiao Xue; JUN ZHOU; Linqi Song; Defu Lian; Ying Wei Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Oral Keywords: Catastrophic forgetting; Large language model; Instruction tuning; meta learning; and lifelong learning
585	Artificial Kuramoto Oscillatory Neurons Authors: Takeru Miyato; Sindy Löwe; Andreas Geiger; Max Welling Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: Oscillatory neurons; Feature binding; Object-centric learning; Reasoning; Adversarial robustness; self-supervised; semi-supervised; and supervised representati…
586	Compositional Entailment Learning for Hyperbolic Vision-Language Models Authors: Avik Pal; Max van Spengler; Guido Maria D'Amely di Melendugno; Alessandro Flaborea; Fabio Galasso; Pascal Mettes Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: Vision-Language Models; Hyperbolic Geometry; Representation Learning; CLIP; self-supervised; semi-supervised; and supervised representation learning
587	Cross-Entropy Is All You Need To Invert the Data Generating Process Authors: Patrik Reizinger; Alice Bizeul; Attila Juhos; Julia E Vogt; Randall Balestriero; Wieland Brendel; David Klindt Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: supervised learning; representation learning; identifiability; linear representation hypothesis; self-supervised; semi-supervised; and supervised representatio…
588	MIND over Body: Adaptive Thinking using Dynamic Computation Authors: Mrinal Mathur; Barak A. Pearlmutter; Sergey M. Plis Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: Interpretability; Fixed points; Dynamic routing; Dynamic input processing; Deep Learning Framework; self-supervised; semi-supervised; and supervised representa…
589	On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding Authors: Dehong Xu; Ruiqi Gao; Wenhao Zhang; Xue-Xin Wei; Ying Nian Wu Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: grid cells; conformal isometry; distance-preserving; position embedding; representation learning; self-supervised; semi-supervised; and supervised representati…
590	On the Identification of Temporal Causal Representation with Instantaneous Dependence Authors: Zijian Li; Yifan Shen; Kaitao Zheng; Ruichu Cai; Xiangchen Song; Mingming Gong; 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: Oral Keywords: Causal Representation Learning; Instantaneous Dependency; Identification; self-supervised; semi-supervised; and supervised representation learning
591	Progressive distillation induces an implicit curriculum Authors: Abhishek Panigrahi; Bingbin Liu; Sadhika Malladi; Andrej Risteski; Surbhi Goel Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: knowledge distillation; feature learning; curriculum; sparse parity; PCFG; optimization; MLP; Transformer; self-supervised; semi-supervised; and supervised rep…
592	Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning Authors: Jingyang Li; Jiachun Pan; Vincent Y. F. Tan; Kim-chuan Toh; Pan Zhou Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: deep semi-supervised learning; generalization error; feature learning; self-supervised; semi-supervised; and supervised representation learning
593	Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models Authors: Simon Schrodi; David T. Hoffmann; Max Argus; Volker Fischer; Thomas Brox Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Oral Keywords: CLIP; modality gap; object bias; contrastive loss; data-centric; vision language models; VLM; self-supervised; semi-supervised; and supervised representation l…
594	$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples Authors: Antonio Emanuele Cinà; Francesco Villani; Maura Pintor; Lea Schönherr; Battista Biggio; Marcello Pelillo Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: adversarial examples; sparse attacks; gradient-based attack; machine learning security; evasion attacks; sparse optimization; fairness; safety; privacy; and so…
595	A Benchmark for Semantic Sensitive Information in LLMs Outputs Authors: Qingjie Zhang; Han Qiu; Di Wang; Yiming Li; Tianwei Zhang; Wenyu Zhu; Haiqin Weng; Liu Yan; Chao Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLMs; sensitive information; fairness; safety; privacy; and societal considerations
596	A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety Authors: Hyunin Lee; Chanwoo Park; David Abel; Ming Jin Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Safety; Risk; Reinforcement Learning; fairness; safety; privacy; and societal considerations
597	A Causal Lens for Learning Long-term Fair Policies Authors: Jacob Lear; Lu Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: long-term fairness; fair reinforcement learning; causal decomposition; fairness; safety; privacy; and societal considerations
598	A Closer Look at Machine Unlearning for Large Language Models Authors: Xiaojian Yuan; Tianyu Pang; Chao Du; Kejiang Chen; Weiming Zhang; Min Lin 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; fairness; safety; privacy; and societal considerations
599	A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement Authors: Hui Yuan; Yifan Zeng; Yue Wu; Huazheng Wang; Mengdi Wang; Liu Leqi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Alignment; Preference Optimization; Large Language Model; fairness; safety; privacy; and societal considerations
600	A Generic Framework for Conformal Fairness Authors: Aditya T. Vadlamani; Anutam Srinivasan; Pranav Maneriker; Ali Payani; srinivasan parthasarathy Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fairness; Conformal Prediction; Graph Neural Networks; fairness; safety; privacy; and societal considerations
601	A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language Authors: Ekdeep Singh Lubana; Kyogo Kawaguchi; Robert P. Dick; Hidenori Tanaka Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Emergence; Percolation; Formal languages; fairness; safety; privacy; and societal considerations
602	A Transfer Attack to Image Watermarks Authors: Yuepeng Hu; Zhengyuan Jiang; Moyang Guo; 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 Watermarking; Transfer Attack; AI-generated Image; fairness; safety; privacy; and societal considerations
603	A transfer learning framework for weak to strong generalization Authors: Seamus Somerstep; Felipe Maia Polo; Moulinath Banerjee; Yaacov Ritov; Mikhail Yurochkin; Yuekai Sun 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; superalignment; transfer learning; fairness; safety; privacy; and societal considerations
604	ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification Authors: Xiao Li; Wenxuan Sun; Huanran Chen; Qiongxiu Li; Yingzhe He; Jie Shi; Xiaolin Hu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: diffusion models; adversarial robustness; fairness; safety; privacy; and societal considerations
605	AI Sandbagging: Language Models can Strategically Underperform on Evaluations Authors: Teun van der Weij; Felix Hofstätter; Oliver Jaffe; Samuel F. Brown; Francis Rhys Ward Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Alignment; AI safety; sandbagging; AI evaluations; AI governance; NLP; LLM; fairness; safety; privacy; and societal considerations
606	ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition 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: Bias Mitigation; Action Recognition; fairness; safety; privacy; and societal considerations
607	Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks Authors: Danni Yuan; Mingda Zhang; Shaokui Wei; Li Liu; 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
608	Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats Authors: Jiaxin Wen; Vivek Hebbar; Caleb Larson; Aryan Bhatt; Ansh Radhakrishnan; Mrinank Sharma; Henry Sleight; Shi Feng; He He; Ethan Perez; Buck Shlegeris; Akbir Khan 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; language model deployment; fairness; safety; privacy; and societal considerations
609	AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption 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: Adversarial Example; Adversarial Attack; Inpainting; Image Protection; fairness; safety; privacy; and societal considerations
610	AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models Authors: Mintong Kang; Chejian Xu; 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; adversarial attack; audio-language model; fairness; safety; privacy; and societal considerations
611	Advancing LLM Reasoning Generalists with Preference Trees Authors: Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding; Xingyao Wang; Boji Shan; Zeyuan Liu; Jia Deng; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu; Bowen Zhou; Hao Peng; Zhiyuan Liu… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Reasoning; Alignment; fairness; safety; privacy; and societal considerations
612	Adversarial Attacks on Data Attribution Authors: Xinhe Wang; Pingbang Hu; Junwei Deng; Jiaqi W. Ma Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: data attribution; adversarial attack; data-centric AI; fairness; safety; privacy; and societal considerations
613	Adversarial Latent Feature Augmentation for Fairness 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: Fairness; Data Augmentation; Adversarial Attack; fairness; safety; privacy; and societal considerations
614	Adversarial Machine Unlearning Authors: Zonglin Di; Sixie Yu; Yevgeniy Vorobeychik; 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; Adversarial approach; Stackelberg game; fairness; safety; privacy; and societal considerations
615	Adversarial Search Engine Optimization for Large Language Models Authors: Fredrik Nestaas; Edoardo Debenedetti; Florian Tramèr 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; security; prompt injection; search engine optimization; function calling; fairness; safety; privacy; and societal considerations
616	Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness Authors: Maayan Ehrenberg; Roy Ganz; Nir Rosenfeld Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: adversarial training; strategic classification; adversarial robustness; strategic robustness; fairness; safety; privacy; and societal considerations
617	AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents Authors: Maksym Andriushchenko; Alexandra Souly; Mateusz Dziemian; Derek Duenas; Maxwell Lin; Justin Wang; Dan Hendrycks; Andy Zou; J Zico Kolter; Matt Fredrikson; Yarin Gal; Xander Davies Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Robustness; jailbreaking; adversarial attacks; LLM agents; AI safety; fairness; safety; privacy; and societal considerations
618	Aligned Datasets Improve Detection of Latent Diffusion-Generated Images Authors: Anirudh Sundara Rajan; Utkarsh Ojha; Jedidiah Schloesser; Yong Jae Lee Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Image Forensics; Latent Diffusion; fairness; safety; privacy; and societal considerations
619	Aligned LLMs Are Not Aligned Browser Agents Authors: Priyanshu Kumar; Elaine Lau; Saranya Vijayakumar; Tu Trinh; Elaine T Chang; Vaughn Robinson; Shuyan Zhou; Matt Fredrikson; Sean M. Hendryx; Summer Yue; Zifan Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; agents; red teaming; safety; adversarial robustness; alignment; jailbreak; fairness; safety; privacy; and societal considerations
620	Aligning Language Models with Demonstrated Feedback Authors: Omar Shaikh; Michelle S. Lam; Joey Hejna; Yijia Shao; Hyundong Justin Cho; Michael S. Bernstein; Diyi Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: personalization; few-shot learning; human computer interaction; alignment; fairness; safety; privacy; and societal considerations
621	Aligning Visual Contrastive learning models via Preference Optimization Authors: Amirabbas Afzali; Borna khodabandeh; Ali Rasekh; Mahyar JafariNodeh; Sepehr Kazemi Ranjbar; Simon Gottschalk Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: contrastive learning; preference optimization; alignment; reinforcement learning from human feedback; robustness; computer vision; fairness; safety; privacy; a…
622	Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs Authors: Zhaowei Zhang; Fengshuo Bai; Qizhi Chen; Chengdong Ma; Mingzhi Wang; Haoran Sun; Zilong Zheng; Yaodong Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Alignment; LLM Test Time Preference Adaptation; Alignment without Training and Fine-tuing; fairness; safety; privacy; and societal considerations
623	An Effective Theory of Bias Amplification Authors: Arjun Subramonian; Samuel Bell; Levent Sagun; Elvis Dohmatob Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: fairness; algorithmic bias; machine learning theory; random matrix theory; fairness; safety; privacy; and societal considerations
624	An Engorgio Prompt Makes Large Language Model Babble on Authors: Jianshuo Dong; Ziyuan Zhang; Qingjie Zhang; Tianwei Zhang; Hao Wang; Hewu Li; Qi Li; Chao Zhang; Ke Xu; Han Qiu 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; attack; inference cost; fairness; safety; privacy; and societal considerations
625	An Undetectable Watermark for Generative Image Models Authors: Sam Gunn; Xuandong Zhao; Dawn Song Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Watermarking; AI Safety; Diffusion Models; Generative AI; fairness; safety; privacy; and societal considerations
626	Anyprefer: An Agentic Framework for Preference Data Synthesis Authors: Yiyang Zhou; Zhaoyang Wang; Tianle Wang; Shangyu Xing; Peng Xia; Bo Li; Kaiyuan Zheng; Zijian Zhang; Zhaorun Chen; Wenhao Zheng; Xuchao Zhang; Chetan Bansal; Weitong Zhang; Ying W… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: synthetic preference data generation; preference fine-tuning; agent; fairness; safety; privacy; and societal considerations
627	Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation Authors: Tobias Leemann; Periklis Petridis; Giuseppe Vietri; Dionysis Manousakas; Aaron Roth; Sergul Aydore Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: domain adaptation; NLI; RAG; document-grounded; NLP; fairness; safety; privacy; and societal considerations
628	Automatic Curriculum Expert Iteration for Reliable LLM Reasoning Authors: Zirui Zhao; Hanze Dong; Amrita Saha; Caiming Xiong; Doyen Sahoo 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; Reasoning; Hallucinations; Laziness; Alignment; fairness; safety; privacy; and societal considerations
629	Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning Authors: Mingyuan Fan; Zhanyi Hu; Fuyi Wang; Cen Chen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: personalized federated learning; backdoor attacks; fairness; safety; privacy; and societal considerations
630	BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge Authors: Terry Tong; Fei Wang; Zhe Zhao; Muhao 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; LLM Evaluator; Backdoor Attack; Backdoor Defense; fairness; safety; privacy; and societal considerations
631	BadRobot: Jailbreaking Embodied LLM Agents in the Physical World Authors: Hangtao Zhang; Chenyu Zhu; Xianlong Wang; Ziqi Zhou; Changgan Yin; Minghui Li; Lulu Xue; Yichen Wang; Shengshan Hu; Aishan Liu; Peijin Guo; 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: Robotics; Safety Risks; Embodied AI; LLM; Multimodal; Agent; Jailbreak attack; fairness; safety; privacy; and societal considerations
632	Balancing Bias in Two-sided Markets for Fair Stable Matchings Authors: Siyuan Wu; Leong Hou U; Panagiotis Karras Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: stable marriage; fairness; fairness; safety; privacy; and societal considerations
633	Bayesian WeakS-to-Strong from Text Classification to Generation Authors: Ziyun Cui; Ziyang Zhang; Guangzhi Sun; Wen Wu; Chao Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: weaks-to-strong; bayesian; generation; per token; fairness; safety; privacy; and societal considerations
634	Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset Authors: Yingzi Ma; Jiongxiao Wang; Fei Wang; Siyuan Ma; Jiazhao Li; Jinsheng Pan; Xiujun Li; Furong Huang; Lichao Sun; Bo Li; Yejin Choi; Muhao Chen; Chaowei Xiao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine Unlearning; Vision Language Model; Privacy; fairness; safety; privacy; and societal considerations
635	BingoGuard: LLM Content Moderation Tools with Risk Levels Authors: Fan Yin; Philippe Laban; XIANGYU PENG; Yilun Zhou; Yixin Mao; Vaibhav Vats; Linnea Ross; Divyansh Agarwal; Caiming Xiong; 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: LLM; safety guardrail; content moderator; fairness; safety; privacy; and societal considerations
636	Black-Box Detection of Language Model Watermarks Authors: Thibaud Gloaguen; Nikola Jovanović; Robin Staab; Martin Vechev Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: llm; watermarking; fairness; safety; privacy; and societal considerations
637	BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks Authors: Yunhan Zhao; Xiang Zheng; Lin Luo; Yige Li; Xingjun Ma; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreak Defense; Blue-Teaming; Large Vision-Language Model; fairness; safety; privacy; and societal considerations
638	Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses Authors: David Glukhov; Ziwen Han; Ilia Shumailov; Vardan Papyan; Nicolas Papernot Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Safety; Information Theory; fairness; safety; privacy; and societal considerations
639	Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation Authors: Chen Xu; Yuxin Li; Wenjie Wang; Liang Pang; Jun Xu; 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: Jensen Gap; Recommender Systems; Max-min Fairness; fairness; safety; privacy; and societal considerations
640	CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs Authors: Jinlan Fu; huangfushenzhen; Hao Fei; Xiaoyu Shen; Bryan Hooi; Xipeng Qiu; 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: Multimodal Large Language Models; Preference Optimization; Direct Preference Optimization; Hallucination; fairness; safety; privacy; and societal considerations
641	CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Authors: Mingkun Zhang; Keping Bi; Wei Chen; Jiafeng Guo; Xueqi Cheng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: adversarial robustness; purification; CLIP; fairness; safety; privacy; and societal considerations
642	CREAM: Consistency Regularized Self-Rewarding Language Models Authors: Zhaoyang Wang; Weilei He; Zhiyuan Liang; Xuchao Zhang; Chetan Bansal; Ying Wei; Weitong Zhang; Huaxiu Yao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: alignment; self-rewarding; large language model; fairness; safety; privacy; and societal considerations
643	Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? Authors: Egor Zverev; Sahar Abdelnabi; Soroush Tabesh; Mario Fritz; 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: Instruction-data separation; ML Safety; LLM Safety; LLM Security; Indirect Prompt Injection; Large Language Models; Datasets; fairness; safety; privacy; and so…
644	Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Authors: Eunseop Yoon; Hee Suk Yoon; Mark A. Hasegawa-Johnson; Chang D. Yoo 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 Model; Alignment; fairness; safety; privacy; and societal considerations
645	Can Watermarks be Used to Detect LLM IP Infringement For Free? Authors: Zhengyue Zhao; Xiaogeng Liu; Somesh Jha; Patrick McDaniel; Bo Li; 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 models; watermark; model copyright; model infringement detection; fairness; safety; privacy; and societal considerations
646	Can We Ignore Labels in Out of Distribution Detection? Authors: Hong Yang; Qi Yu; Travis Desell 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; Uncertainty; Self Supervised; Unsupervised; fairness; safety; privacy; and societal considerations
647	Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems Authors: Ruochen Jiao; Shaoyuan Xie; Justin Yue; TAKAMI SATO; Lixu Wang; Yixuan Wang; Qi Alfred Chen; Qi Zhu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Backdoor attacks; Large language models; Autonomous agents; Robotics; fairness; safety; privacy; and societal considerations
648	Can a Large Language Model be a Gaslighter? Authors: Wei Li; Luyao Zhu; Yang Song; Ruixi Lin; Rui Mao; Yang You Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Gaslighting; Adversarial Attack; Safety Alignment; Trustworthy AI; Psychological Manipulation; fairness; safety; privacy; and societal considerations
649	Certified Robustness Under Bounded Levenshtein Distance Authors: Elias Abad Rocamora; Grigorios Chrysos; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Robustness verification; Text classifiers; Lipschitz constant; fairness; safety; privacy; and societal considerations
650	Certifying Counterfactual Bias in LLMs Authors: Isha Chaudhary; Qian Hu; Manoj Kumar; Morteza Ziyadi; 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; Bias; Certification; fairness; safety; privacy; and societal considerations
651	Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks Authors: Bowei He; Lihao Yin; Huiling Zhen; Jianping Zhang; Lanqing HONG; Mingxuan Yuan; Chen Ma Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Language Model; Textual Backdoor Attack; Certified Robustness; Fuzzed Randomized Smoothing; fairness; safety; privacy; and societal considerations
652	CipherPrune: Efficient and Scalable Private Transformer Inference Authors: Yancheng Zhang; Jiaqi Xue; Mengxin Zheng; Mimi Xie; Mingzhe Zhang; Lei Jiang; Qian Lou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Private Transformer Inference; fairness; safety; privacy; and societal considerations
653	Collab: Controlled Decoding using Mixture of Agents for LLM Alignment Authors: Souradip Chakraborty; Sujay Bhatt; Udari Madhushani Sehwag; Soumya Suvra Ghosal; Jiahao Qiu; Mengdi Wang; Dinesh Manocha; Furong Huang; Alec Koppel; Sumitra Ganesh Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Alignment; Decoding; RLHF; Transfer Decoding; LLM; fairness; safety; privacy; and societal considerations
654	CollabEdit: Towards Non-destructive Collaborative Knowledge Editing Authors: Jiamu Zheng; Jinghuai Zhang; Tianyu Du; Xuhong Zhang; Jianwei Yin; Tao Lin Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Collaborative Learning; Knowledge Editing; fairness; safety; privacy; and societal considerations
655	Collapsed Language Models Promote Fairness Authors: Jingxuan Xu; Wuyang Chen; Linyi Li; Yao Zhao; Yunchao Wei Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Neural Collapse; Fairness; fairness; safety; privacy; and societal considerations
656	Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources Authors: Vibhhu Sharma; Bryan Wilder Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: social welfare; causality; treatment; treatment effect; targeting; risk; policymaking; fairness; safety; privacy; and societal considerations
657	Competing Large Language Models in Multi-Agent Gaming Environments Authors: Jen-tse Huang; Eric John Li; Man Ho LAM; Tian Liang; Wenxuan Wang; Youliang Yuan; Wenxiang Jiao; Xing Wang; Zhaopeng Tu; Michael Lyu 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; Games; Reasoning; Evaluation; fairness; safety; privacy; and societal considerations
658	Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing Authors: Keltin Grimes; Marco Christiani; David Shriver; Marissa Catherine Connor Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Language Model; Trojan; Backdoor; Model Editing; fairness; safety; privacy; and societal considerations
659	ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning Authors: Ruchika Chavhan; Da Li; Timothy Hospedales Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: diffusion models; concept editing; pruning; fairness; safety; privacy; and societal considerations
660	ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration Authors: Youngseok Kim; Sunwook Hwang; Hyung-Sin Kim; Saewoong Bahk Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Inversion attack; 3D point cloud data; Autonomous vehicle; fairness; safety; privacy; and societal considerations
661	Confidence Elicitation: A New Attack Vector for Large Language Models Authors: Brian Formento; Chuan-Sheng Foo; 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 attack; adversarial robustness; confidence elicitation.; fairness; safety; privacy; and societal considerations
662	Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements Authors: Jingyu Zhang; Ahmed Elgohary; Ahmed Magooda; Daniel Khashabi; Benjamin Van Durme 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 alignment; pluralistic alignment; fairness; safety; privacy; and societal considerations
663	Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization Authors: XiaoHua Feng; Yuyuan Li; Chaochao Chen; Li Zhang; Longfei Li; JUN ZHOU; Xiaolin Zheng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine unlearning; Generative model; Controllable; fairness; safety; privacy; and societal considerations
664	Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness Authors: Eli Chien; Pan Li 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; hidden state SGD; nonconvex; nonsmooth; fairness; safety; privacy; and societal considerations
665	DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Authors: Arjun Roy; Kaushik Roy Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: homomorphic encryption; deep neural networks; privacy-preserving machine learning; frequency-domain learning; fairness; safety; privacy; and societal considera…
666	Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning Authors: Wassim Bouaziz; 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: dataset watermarking; dataset ownership verification; data poisoning; backdoor attack; fairness; safety; privacy; and societal considerations
667	Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Authors: Fengyu Gao; Ruida Zhou; Tianhao Wang; Cong Shen; Jing Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: in-context learning; differential privacy; large language models; fairness; safety; privacy; and societal considerations
668	Dataset Ownership Verification in Contrastive Pre-trained Models Authors: Yuechen Xie; Jie Song; Mengqi Xue; Haofei Zhang; Xingen Wang; Bingde Hu; Genlang Chen; Mingli Song Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Dataset Ownership Verification; Data Protection; Contrastive Learning; Pre-trained Models; Self-supervised Learning; fairness; safety; privacy; and societal co…
669	Deep Kernel Relative Test for Machine-generated Text Detection Authors: Yiliao Song; Zhenqiao Yuan; Shuhai Zhang; Zhen Fang; Jun Yu; Feng Liu 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; Machine-generated text detection; Relative test; fairness; safety; privacy; and societal considerations
670	Democratic Training Against Universal Adversarial Perturbations Authors: Bing Sun; Jun Sun; Wei Zhao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Neural network adversarial attack; Universal adversarial perturbation; Adversarial attack defense; fairness; safety; privacy; and societal considerations
671	Detecting Backdoor Samples in Contrastive Language Image Pretraining Authors: Hanxun Huang; Sarah Monazam Erfani; Yige Li; Xingjun Ma; James Bailey Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Backdoor; Detection; CLIP; fairness; safety; privacy; and societal considerations
672	DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction Authors: Xinwei Zhang; Zhiqi Bu; Borja Balle; Mingyi Hong; Meisam Razaviyayn; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Differential privacy; Kalman filter; noise reduction; nonconvex optimization; fairness; safety; privacy; and societal considerations
673	Differentially Private Federated Learning with Time-Adaptive Privacy Spending Authors: Shahrzad Kiani; Nupur Kulkarni; Adam Dziedzic; Stark Draper; Franziska Boenisch 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; Time Adaptive Privacy Spending; Individualized Privacy Constraints; fairness; safety; privacy; and societal considera…
674	Differentially Private Steering for Large Language Model Alignment Authors: Anmol Goel; Yaxi Hu; Iryna Gurevych; Amartya Sanyal Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: differential privacy; large language models; alignment; activation engineering; fairness; safety; privacy; and societal considerations
675	Differentially private optimization for non-decomposable objective functions Authors: Weiwei Kong; Andres Munoz medina; Mónica Ribero 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 learning; contrastive learning.; fairness; safety; privacy; and societal considerations
676	Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models Authors: Fu-Yun Wang; Yunhao Shui; Jingtan Piao; Keqiang Sun; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Diffusion; Preference Optimization; fairness; safety; privacy; and societal considerations
677	DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing Authors: June Suk Choi; Kyungmin Lee; Jongheon Jeong; Saining Xie; Jinwoo Shin; Kimin Lee Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: image inpainting; adversarial attack; image editing; ai safety; diffusion model; fairness; safety; privacy; and societal considerations
678	Dissecting Adversarial Robustness of Multimodal LM Agents Authors: Chen Henry Wu; Rishi Rajesh Shah; Jing Yu Koh; Russ Salakhutdinov; Daniel Fried; Aditi Raghunathan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LM agents; multimodal agents; safety; adversarial robustness; fairness; safety; privacy; and societal considerations
679	Diverse Preference Learning for Capabilities and Alignment Authors: Stewart Slocum; Asher Parker-Sartori; Dylan Hadfield-Menell Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: alignment; diversity; natural language processing; reinforcement learning; fairness; safety; privacy; and societal considerations
680	Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models Authors: Francisco Eiras; Aleksandar Petrov; Philip Torr; M. Pawan Kumar; Adel Bibi 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; fine-tuning; fairness; safety; privacy; and societal considerations
681	DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Authors: Khanh Nguyen; Raouf Kerkouche; Mario Fritz; Dimosthenis Karatzas Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Membership Inference Attacks; Document-based VQA; Multi-modal Models; Privacy; fairness; safety; privacy; and societal considerations
682	Does Refusal Training in LLMs Generalize to the Past Tense? Authors: Maksym Andriushchenko; Nicolas Flammarion Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreaking; adversarial attacks; adversarial robustness; AI safety; fairness; safety; privacy; and societal considerations
683	Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? Authors: Sravanti Addepalli; Yerram Varun; Arun Suggala; Karthikeyan Shanmugam; Prateek Jain Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreaks; Safety; LLMs; fairness; safety; privacy; and societal considerations
684	Does Training with Synthetic Data Truly Protect Privacy? Authors: Yunpeng Zhao; Jie Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: ML privacy; membership inference; fairness; safety; privacy; and societal considerations
685	Durable Quantization Conditioned Misalignment Attack on Large Language Models Authors: Peiran Dong; Haowei Li; Song Guo Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Safety Alignment; Quantization Conditioned Attack; fairness; safety; privacy; and societal considerations
686	DynFrs: An Efficient Framework for Machine Unlearning in Random Forest Authors: Shurong Wang; Zhuoyang Shen; Xinbao Qiao; Tongning Zhang; Meng Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine Unlearning; Random Forest; fairness; safety; privacy; and societal considerations
687	Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense Authors: Siyu Luan; Zhenyi Wang; Li Shen; Zonghua Gu; Chao Wu; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Model Extraction Defense; fairness; safety; privacy; and societal considerations
688	EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE Authors: Zeyi Liao; Lingbo Mo; Chejian Xu; Mintong Kang; Jiawei Zhang; Chaowei Xiao; Yuan Tian; Bo Li; Huan Sun Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Web Agent; Attack; fairness; safety; privacy; and societal considerations
689	ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time Authors: Yi Ding; Bolian Li; Ruqi Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: VLMs; safety alignment; inference time; fairness; safety; privacy; and societal considerations
690	Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective Authors: Ruichen Shao; Bei Li; Gangao Liu; Yang Chen; ZhouXiang; Jingang Wang; Xunliang Cai; Peng Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: preference optimization; RLHF; DPO; fairness; safety; privacy; and societal considerations
691	Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models Authors: Rui Ye; Jingyi Chai; Xiangrui Liu; Yaodong Yang; Yanfeng Wang; Siheng Chen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated Learning; Large Language Models; Safety Alignment; Attack; Defense; fairness; safety; privacy; and societal considerations
692	Encryption-Friendly LLM Architecture Authors: Donghwan Rho; Taeseong Kim; Minje Park; Jung Woo Kim; Hyunsik Chae; Ernest K. Ryu; Jung Hee Cheon Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Homomorphic Encryption; PPML; Encrypted Fine-tuning; Transformer Architecture; fairness; safety; privacy; and societal considerations
693	Endless Jailbreaks with Bijection Learning Authors: Brian R.Y. Huang; Maximilian Li; Leonard Tang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: jailbreaking; redteaming; AI safety; AI alignment; adversarial robustness; adversarial attacks; fairness; safety; privacy; and societal considerations
694	Endowing Visual Reprogramming with Adversarial Robustness Authors: Shengjie Zhou; Xin Cheng; Haiyang Xu; Ming Yan; Tao Xiang; Feng Liu; Lei Feng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: visual reprogramming; adversarial robustness; risk bound; fairness; safety; privacy; and societal considerations
695	Enhancing Robust Fairness via Confusional Spectral Regularization Authors: Gaojie Jin; Sihao Wu; Jiaxu Liu; Tianjin Huang; Ronghui Mu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial robustness; Worst-class robust accuracy; Robust fairness; PAC-Bayes; fairness; safety; privacy; and societal considerations
696	Erasing Concept Combination from Text-to-Image Diffusion Model Authors: hongyi nie; Quanming Yao; Yang Liu; Zhen Wang; Yatao Bian Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: concept combination erasing; text-to-image diffusion model; AIGC security; concept logic graph generation; feature decouple; fairness; safety; privacy; and soc…
697	EvA: Erasing Spurious Correlations with Activations Authors: Qiyuan He; Kai Xu; Angela Yao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: spurious correlation; compute efficiency; data efficiency; fairness; safety; privacy; and societal considerations
698	Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study Authors: Lili Zhao; Yang Wang; Qi Liu; Mengyun Wang; Wei Chen; Zhichao Sheng; Shijin Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLMs; Verbalized confidence; Shortcut learning; fairness; safety; privacy; and societal considerations
699	Examining Alignment of Large Language Models through Representative Heuristics: the case of political stereotypes Authors: Sullam Jeoung; Yubin Ge; Haohan Wang; Jana Diesner Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: safety of LLMs; political stereotypes; representative heuristics; cognitive bias; fairness; safety; privacy; and societal considerations
700	Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm Authors: Du Chen; Geoffrey A. Chua Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Objective Perturbation; Convolution; Nonsmooth; DP-SCO; fairness; safety; privacy; and societal considerations
701	Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View Authors: Xuan Liu; Jie ZHANG; HaoYang Shang; Song Guo; Chengxu Yang; Quanyan Zhu 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; Prosocial irrationality of LLM Agents; Cognitive AI framework; fairness; safety; privacy; and societal considerations
702	Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness Authors: Xianglu Wang; Hu Ding Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial training; Continual learning; Catastrophic forgetting; fairness; safety; privacy; and societal considerations
703	Failures to Find Transferable Image Jailbreaks Between Vision-Language Models Authors: Rylan Schaeffer; Dan Valentine; Luke Bailey; James Chua; Cristobal Eyzaguirre; Zane Durante; Joe Benton; Brando Miranda; Henry Sleight; Tony Tong Wang; John Hughes; Rajashree Agra… Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: adversarial robustness; jailbreaks; vision-language model; multimodal; adversarial attack; image jailbreak; safety; trustworthy; robustness; fairness; safety;…
704	FairDen: Fair Density-Based Clustering Authors: Lena Krieger; Anna Beer; Pernille Matthews; Anneka Myrup Thiesson; Ira Assent Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fair Clustering; Density-based Clustering; Density-Connectivity; Fairness; Unsupervised Learning; fairness; safety; privacy; and societal considerations
705	FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models Authors: Zhipei Xu; Xuanyu Zhang; Runyi Li; Zecheng Tang; Qing Huang; Jian Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Image Forgery Detection and Localization; Multi-modal Large Language Model; Tamper Detection; fairness; safety; privacy; and societal considerations
706	Fantastic Copyrighted Beasts and How (Not) to Generate Them Authors: Luxi He; Yangsibo Huang; Weijia Shi; Tinghao Xie; Haotian Liu; Yue Wang; Luke Zettlemoyer; Chiyuan Zhang; Danqi Chen; Peter Henderson Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: copyright; copyrighted characters; alignment; evaluation; image generation models; fairness; safety; privacy; and societal considerations
707	Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning Authors: Yujian Liu; Shiyu Chang; Tommi Jaakkola; Yang Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Hallucinations; instruction-tuning; fairness; safety; privacy; and societal considerations
708	Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems Authors: Zhenting Qi; Hanlin Zhang; Eric P. Xing; Sham M. Kakade; Himabindu Lakkaraju 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; Security; Privacy; fairness; safety; privacy; and societal considerations
709	From Search to Sampling: Generative Models for Robust Algorithmic Recourse Authors: Prateek Garg; Lokesh Nagalapatti; Sunita Sarawagi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Algorithmic recourse; explainability; generative modelling; fairness; safety; privacy; and societal considerations
710	Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks Authors: Zi Wang; Divyam Anshumaan; Ashish Hooda; Yudong Chen; Somesh Jha Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: alignment; optimization; fairness; safety; privacy; and societal considerations
711	GRAIN: Exact Graph Reconstruction from Gradients Authors: Maria Drencheva; Ivo Petrov; Maximilian Baader; Dimitar Iliev Dimitrov; Martin Vechev Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: gradient leakage; gradient inversion; graph neural networks; federated learning; graph convolutional networks; gnn; gcn; attack; privacy; reconstruction; fairn…
712	GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack Authors: Md Farhamdur Reza; Richeng Jin; Tianfu Wu; Huaiyu Dai Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Attack; Black-box Attack; Score-based Attack; Top-K Attack; fairness; safety; privacy; and societal considerations
713	Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation Authors: Carlos J Soto; Matthew Reimherr; Aleksandra Slavkovic; Mark Shriver Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: differential privacy; shape analysis; functional data analysis; fairness; safety; privacy; and societal considerations
714	GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment Authors: Yuancheng Xu; Udari Madhushani Sehwag; Alec Koppel; Sicheng Zhu; Bang An; Furong Huang; Sumitra Ganesh 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; controlled decoding; fairness; safety; privacy; and societal considerations
715	Generative Classifiers Avoid Shortcut Solutions Authors: Alexander Cong Li; Ananya Kumar; Deepak Pathak Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: distribution shift; shortcut; generative models; robustness; fairness; safety; privacy; and societal considerations
716	Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection Authors: Guangsheng Bao; Yanbin Zhao; Juncai He; Yue Zhang 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; fairness; safety; privacy; and societal considerations
717	Going Beyond Static: Understanding Shifts with Time-Series Attribution Authors: Jiashuo Liu; Nabeel Seedat; Peng Cui; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: distribution shifts; performance drop; attribution; time-series data; fairness; safety; privacy; and societal considerations
718	Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Authors: Rui Qiao; Zhaoxuan Wu; Jingtan Wang; Pang Wei Koh; 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: distribution shift; subpopulation shift; spurious correlation; influence function; sample reweighting; data selection; fairness; safety; privacy; and societal…
719	Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models Authors: Die Chen; Zhiwen Li; Mingyuan Fan; Cen Chen; Wenmeng Zhou; Yanhao Wang; Yaliang Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Stable Diffusion; Text-to-Image Generation; Concept Erasure; fairness; safety; privacy; and societal considerations
720	Guaranteed Generation from Large Language Models Authors: Minbeom Kim; Thibaut Thonet; Jos Rozen; Hwaran Lee; Kyomin Jung; Marc Dymetman Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Guaranteed Generation; Controlled Text Generation; LLM Alignment; Limitations of Autoregressive Models; Rejection Sampling; fairness; safety; privacy; and soci…
721	Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs Authors: Shuo Li; Tao Ji; Xiaoran Fan; Linsheng Lu; Leyi Yang; Yuming Yang; Zhiheng Xi; Rui Zheng; Yuran Wang; xh.zhao; Tao Gui; Qi Zhang; Xuanjing Huang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Multi-modal Model; Visual-Language Model; Sycophancy; Hallucination; fairness; safety; privacy; and societal considerations
722	Hessian-Free Online Certified Unlearning Authors: Xinbao Qiao; Meng Zhang; Ming Tang; Ermin Wei Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: machine unlearning; certified data removal; privacy; fairness; safety; privacy; and societal considerations
723	How Does Vision-Language Adaptation Impact the Safety of Vision Language Models? Authors: Seongyun Lee; Geewook Kim; Jiyeon Kim; Hyunji Lee; Hoyeon Chang; Sue Hyun Park; Minjoon Seo 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; Safety; fairness; safety; privacy; and societal considerations
724	How Far Are We from True Unlearnability? Authors: Kai Ye; Liangcai Su; Chenxiong Qian Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: shortcut learning; unlearnable dataset; loss landscape; fairness; safety; privacy; and societal considerations
725	How to Verify Any (Reasonable) Distribution Property: Computationally Sound Argument Systems for Distributions Authors: Tal Herman; 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: property testing; distribution testing; interactive proofs; data science; verification; fairness; safety; privacy; and societal considerations
726	Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors Authors: Tianchun Wang; Yuanzhou Chen; Zichuan Liu; Zhanwen Chen; Haifeng Chen; Xiang Zhang; Wei Cheng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: machine-generted text detection; evade detection; fine-tuning; fairness; safety; privacy; and societal considerations
727	HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere Authors: Hatef Otroshi Shahreza; Sébastien Marcel Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Face Recognition; Hypersphere Optimization; Privacy; Synthetic Data; fairness; safety; privacy; and societal considerations
728	I Can Hear You: Selective Robust Training for Deepfake Audio Detection Authors: Zirui Zhang; Wei Hao; Aroon Sankoh; William Lin; Emanuel Mendiola-Ortiz; Junfeng Yang; Chengzhi Mao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Deepfake audio detection; Audio augmentations; Frequency-Selective Adversarial Training; fairness; safety; privacy; and societal considerations
729	ICLR: In-Context Learning of Representations Authors: Core Francisco Park; Andrew Lee; Ekdeep Singh Lubana; Yongyi Yang; Maya Okawa; Kento Nishi; Martin Wattenberg; Hidenori Tanaka Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: In-Context Learning; Representational Geometry; World Models; Emergence; Percolation; fairness; safety; privacy; and societal considerations
730	Image Watermarks are Removable using Controllable Regeneration from Clean Noise Authors: Yepeng Liu; Yiren Song; Hai Ci; Yu Zhang; Haofan Wang; Mike Zheng Shou; Yuheng Bu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Watermark; Detection; Robustness; Diffusion Model; fairness; safety; privacy; and societal considerations
731	Image-level Memorization Detection via Inversion-based Inference Perturbation Authors: Yue Jiang; Haokun Lin; Yang Bai; Bo Peng; Zhili Liu; Yueming Lyu; Yong Yang; Xingzheng; Jing Dong Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Text-to-image diffusion model; data memorization detection; DDIM Inversion; fairness; safety; privacy; and societal considerations
732	Improved Techniques for Optimization-Based Jailbreaking on Large Language Models Authors: Xiaojun Jia; Tianyu Pang; Chao Du; Yihao Huang; Jindong Gu; Yang Liu; Xiaochun Cao; Min Lin 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
733	Improving Data Efficiency via Curating LLM-Driven Rating Systems Authors: Jinlong Pang; Jiaheng Wei; Ankit Shah; Zhaowei Zhu; Yaxuan Wang; Chen Qian; Yang Liu; Yujia Bao; Wei Wei Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Data Selection; LLM; Instruction Tuning; fairness; safety; privacy; and societal considerations
734	Indirect Gradient Matching for Adversarial Robust Distillation Authors: Hongsin Lee; Seungju Cho; Changick Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Robustness; Adversarial Training; Adversarial Distillation; fairness; safety; privacy; and societal considerations
735	Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models Authors: Negin Raoof; Litu Rout; Giannis Daras; Sujay Sanghavi; Constantine Caramanis; Sanjay Shakkottai; Alex Dimakis Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Pretraining data detection; Large language models; fairness; safety; privacy; and societal considerations
736	Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy Authors: Tong Wu; Shujian Zhang; Kaiqiang Song; Silei Xu; Sanqiang Zhao; Ravi Agrawal; Sathish Reddy Indurthi; Chong Xiang; Prateek Mittal; Wenxuan Zhou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Instruction Hierarchy; Segment Embedding; LLM safety and robustness; fairness; safety; privacy; and societal considerations
737	Inverse Constitutional AI: Compressing Preferences into Principles Authors: Arduin Findeis; Timo Kaufmann; Eyke Hüllermeier; Samuel Albanie; Robert D. Mullins Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: human feedback; evaluation; interpretability; preference learning; AI annotators; fairness; safety; privacy; and societal considerations
738	Is Your Multimodal Language Model Oversensitive to Safe Queries? Authors: Xirui Li; Hengguang Zhou; Ruochen Wang; Tianyi Zhou; Minhao Cheng; Cho-Jui Hsieh Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safety; Adversarial Robustness; Multimodal Large Language Models; Alignment; fairness; safety; privacy; and societal considerations
739	Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models Authors: Guobin Shen; Dongcheng Zhao; Yiting Dong; Xiang He; 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; Safety-Utility Balance; Internal State Manipulation; Sparse Representation Adjustment; fairness; safety; privacy; and…
740	Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks Authors: Maksym Andriushchenko; Francesco Croce; Nicolas Flammarion Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreaking; adversarial attacks; adversarial robustness; AI safety; fairness; safety; privacy; and societal considerations
741	Jailbreaking as a Reward Misspecification Problem Authors: Zhihui Xie; Jiahui Gao; Lei Li; Zhenguo Li; Qi Liu; Lingpeng Kong 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; alignment; jailbreaking; fairness; safety; privacy; and societal considerations
742	Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Authors: Jiayi Ye; Yanbo Wang; Yue Huang; Dongping Chen; Qihui Zhang; Nuno Moniz; Tian Gao; Werner Geyer; Chao Huang; Pin-Yu Chen; Nitesh V Chawla; Xiangliang 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-as-a-Judge; trustworthy LLM; evaluation; fairness; safety; privacy; and societal considerations
743	L3Ms — Lagrange Large Language Models Authors: Guneet S. Dhillon; Xingjian Shi; Yee Whye Teh; Alex Smola Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; alignment; fairness; safety; privacy; and societal considerations
744	LLM Unlearning via Loss Adjustment with Only Forget Data Authors: Yaxuan Wang; Jiaheng Wei; Chris Yuhao Liu; Jinlong Pang; Quan Liu; Ankit Shah; Yujia Bao; Yang Liu; Wei Wei Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Unlearning; Responsible AI; fairness; safety; privacy; and societal considerations
745	Language Models Learn to Mislead Humans via RLHF Authors: Jiaxin Wen; Ruiqi Zhong; Akbir Khan; Ethan Perez; Jacob Steinhardt; Minlie Huang; Samuel R. Bowman; He He; Shi Feng Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: RLHF; reward hacking; human evaluation; fairness; safety; privacy; and societal considerations
746	Language Models are Advanced Anonymizers Authors: Robin Staab; Mark Vero; Mislav Balunovic; Martin Vechev Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: privacy; anonymization; large language models; fairness; safety; privacy; and societal considerations
747	Large Language Models can Become Strong Self-Detoxifiers Authors: Ching-Yun Ko; Pin-Yu Chen; Payel Das; Youssef Mroueh; Soham Dan; Georgios Kollias; Subhajit Chaudhury; Tejaswini Pedapati; Luca Daniel Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: detoxification; LLM; fairness; safety; privacy; and societal considerations
748	Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Authors: Yiming Wang; Pei Zhang; Baosong Yang; Derek F. Wong; Rui 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; Label-free Self-Evaluation; AI Reliability; fairness; safety; privacy; and societal considerations
749	Learn Your Reference Model for Real Good Alignment Authors: Alexey Gorbatovski; Boris Shaposhnikov; Alexey Malakhov; Nikita Surnachev; Yaroslav Aksenov; Ian Maksimov; Nikita Balagansky; Daniil Gavrilov Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: reinforcement learning from human feedback; language models; RLHF; preferences; alignment; overoptimization; fairness; safety; privacy; and societal considerat…
750	Learning Causal Alignment for Reliable Disease Diagnosis Authors: Mingzhou Liu; Ching-Wen Lee; Xinwei Sun; Xueqing Yu; Yu QIAO; Yizhou Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: alignment; causal learning; counterfactual; disease diagnosis; fairness; safety; privacy; and societal considerations
751	Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection Authors: Fanhu Zeng; Zhen Cheng; Fei Zhu; Hongxin Wei; Xu-Yao Zhang 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 detection; Prompt learning; Vision-language model; Few-shot learning; fairness; safety; privacy; and societal considerations
752	Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference Authors: Anton Xue; Avishree Khare; Rajeev Alur; Surbhi Goel; Eric Wong Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Logic; reasoning; inference; language model; jailbreak; fairness; safety; privacy; and societal considerations
753	Long-tailed Adversarial Training with Self-Distillation Authors: Seungju Cho; Hongsin Lee; Changick Kim Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Robustness; Adversarial Training; Long-Tail Distribution Learning; fairness; safety; privacy; and societal considerations
754	MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization Authors: Yougang Lyu; Lingyong Yan; Zihan Wang; Dawei Yin; Pengjie Ren; Maarten de Rijke; Zhaochun Ren 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 alignment; preference optimization; fairness; safety; privacy; and societal considerations
755	MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs Authors: Xuannan Liu; Zekun Li; Pei Pei Li; Huaibo Huang; Shuhan Xia; Xing Cui; Linzhi Huang; Weihong Deng; Zhaofeng He 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; large vision language models; fairness; safety; privacy; and societal considerations
756	Machine Unlearning Fails to Remove Data Poisoning Attacks Authors: Martin Pawelczyk; Jimmy Z. Di; Yiwei Lu; Gautam Kamath; Ayush Sekhari; Seth Neel Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: machine unlearning; data poisoning; fairness; safety; privacy; and societal considerations
757	Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment Authors: Mingzhi Wang; Chengdong Ma; Qizhi Chen; Linjian Meng; Yang Han; Jiancong Xiao; Zhaowei Zhang; Jing Huo; Weijie J Su; Yaodong Yang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Alignment; Mirror Descent; Self-play; Nash Equilibrium; fairness; safety; privacy; and societal considerations
758	MallowsPO: Fine-Tune Your LLM with Preference Dispersions Authors: Haoxian Chen; Hanyang Zhao; Henry Lam; David Yao; Wenpin Tang 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; learning from human feedback; Mallows ranking model; human preference dispersions; fairness; safety; privacy; and societal conside…
759	Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs Authors: Yuzhe Gu; Wenwei Zhang; Chengqi Lyu; Dahua Lin; Kai Chen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Hallucination Mitigation; Large Language Model; Fine-grained Alignment; fairness; safety; privacy; and societal considerations
760	Measuring Non-Adversarial Reproduction of Training Data in Large Language Models Authors: Michael Aerni; Javier Rando; Edoardo Debenedetti; Nicholas Carlini; Daphne Ippolito; Florian Tramèr 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; memorization; data extraction; originality; privacy; fairness; safety; privacy; and societal considerations
761	Measuring memorization in RLHF for code completion Authors: Jamie Hayes; Ilia Shumailov; William P. Porter; Aneesh Pappu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: rlhf; memorization; code completion; fairness; safety; privacy; and societal considerations
762	Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data Authors: Mengxuan Hu; Zihan Guan; Yi Zeng; Junfeng Guo; Zhongliang Zhou; Jielu Zhang; Ruoxi Jia; Anil Kumar Vullikanti; Sheng Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Causal Inference; Backdoor Attacks; fairness; safety; privacy; and societal considerations
763	Mitigating Spurious Correlations in Zero-Shot Multimodal Models Authors: Shenyu Lu; 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: Spurious correlation; Zero shot; Multimodal models; fairness; safety; privacy; and societal considerations
764	Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Authors: Jinluan Yang; Anke Tang; Didi Zhu; Zhengyu Chen; Li Shen; Fei Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Model Merging; Backdoor Defense; Subspace; fairness; safety; privacy; and societal considerations
765	Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Authors: Jun Luo; Chen Chen; Shandong Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Federated learning; prompt learning; vision-language model; mixture of experts; fairness; safety; privacy; and societal considerations
766	MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards Authors: Sheng Wang; Liheng Chen; Pengan CHEN; Jingwei Dong; Boyang XUE; Jiyue Jiang; Lingpeng Kong; Chuan Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LoRA; parameter efficiency; parameter sharing; instruction tuning; NLP; fairness; safety; privacy; and societal considerations
767	Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity Authors: Rheeya Uppaal; Apratim Dey; Yiting He; Yiqiao Zhong; Junjie Hu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: model editing; mechanistic interpretability; ai safety; alignment; toxicity; llms; fairness; safety; privacy; and societal considerations
768	Moral Alignment for LLM Agents Authors: Elizaveta Tennant; 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: AI alignment; LLM fine-tuning; moral decision-making; social dilemmas; fairness; safety; privacy; and societal considerations
769	Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning Authors: Shijie Liu; Andrew Craig Cullen; Paul Montague; Sarah Monazam Erfani; Benjamin I. P. Rubinstein Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Machine Learning; Certified Robustness; Reinforcement Learning; Poisoning Attack; fairness; safety; privacy; and societal considerations
770	Near-Exact Privacy Amplification for Matrix Mechanisms Authors: Christopher A. Choquette-Choo; Arun Ganesh; Saminul Haque; Thomas Steinke; Abhradeep Guha Thakurta Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: differential privacy; privacy amplification; privacy accounting; DP-FTRL; correlated noise; fairness; safety; privacy; and societal considerations
771	Neural Interactive Proofs Authors: Lewis Hammond; Sam Adam-Day Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: interactive proofs; game theory; neural networks; safety; multi-agent reinforcement learning; fairness; safety; privacy; and societal considerations
772	No Preference Left Behind: Group Distributional Preference Optimization Authors: Binwei Yao; Zefan Cai; Yun-Shiuan Chuang; Shanglin Yang; Ming Jiang; Diyi Yang; Junjie Hu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: preference alignment; large language model; fairness; group preferences; fairness; safety; privacy; and societal considerations
773	Noisy Test-Time Adaptation in Vision-Language Models Authors: Chentao Cao; Zhun Zhong; Zhanke Zhou; Tongliang Liu; Yang Liu; Kun Zhang; Bo Han Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: OOD Detection; Test-Time Adaptation; fairness; safety; privacy; and societal considerations
774	On Calibration of LLM-based Guard Models for Reliable Content Moderation Authors: Hongfu Liu; Hengguan Huang; Xiangming Gu; Hao Wang; Ye Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Content Moderation; LLM-based Guard Models; Calibration; Safety; fairness; safety; privacy; and societal considerations
775	On Evaluating the Durability of Safeguards for Open-Weight LLMs Authors: Xiangyu Qi; Boyi Wei; Nicholas Carlini; Yangsibo Huang; Tinghao Xie; Luxi He; Matthew Jagielski; Milad Nasr; Prateek Mittal; Peter Henderson Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: AI Safety; Fine-tuning Attacks; Open-weight LLMs; Adaptive Attacks; fairness; safety; privacy; and societal considerations
776	On Large Language Model Continual Unlearning Authors: Chongyang Gao; Lixu Wang; Kaize Ding; Chenkai Weng; Xiao Wang; Qi Zhu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Continual Unlearning; Large Language Models; fairness; safety; privacy; and societal considerations
777	On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback Authors: Marcus Williams; Micah Carroll; Adhyyan Narang; Constantin Weisser; Brendan Murphy; Anca Dragan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: manipulation; deception; alignment; reward hacking; user feedback; fairness; safety; privacy; and societal considerations
778	On a Connection Between Imitation Learning and RLHF Authors: Teng Xiao; Yige Yuan; Mingxiao Li; Zhengyu Chen; Vasant G Honavar 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
779	On the Adversarial Vulnerability of Label-Free Test-Time Adaptation Authors: Shahriar Rifat; Jonathan Ashdown; Michael J. De Lucia; Ananthram Swami; Francesco Restuccia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Test Time Adaptation; Adversarial Attack; fairness; safety; privacy; and societal considerations
780	On the Price of Differential Privacy for Hierarchical Clustering Authors: Chengyuan Deng; Jie Gao; Jalaj Upadhyay; Chen Wang; Samson Zhou Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Hierarchical clustering; differential privacy; sparsest cut; fairness; safety; privacy; and societal considerations
781	On-the-fly Preference Alignment via Principle-Guided Decoding Authors: Mingye Zhu; Yi Liu; Lei Zhang; Junbo Guo; Zhendong Mao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: preference alignment; tuning-free alignment; principle-based decoding; fairness; safety; privacy; and societal considerations
782	PAD: Personalized Alignment of LLMs at Decoding-time Authors: Ruizhe Chen; Xiaotian Zhang; Meng Luo; Wenhao Chai; Zuozhu Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Alignment; personalization; fairness; safety; privacy; and societal considerations
783	PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment Authors: Daiwei Chen; Yi Chen; Aniket Rege; Zhi Wang; Ramya Korlakai Vinayak Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: alignment; preference learning; foundation model; reward model; ideal point model; plurality; fairness; safety; privacy; and societal considerations
784	PFGuard: A Generative Framework with Privacy and Fairness Safeguards Authors: Soyeon Kim; Yuji Roh; Geon Heo; Steven Euijong Whang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Trustworthy AI; Responsible AI; ML Fairness; Differential Privacy; Generative Model; fairness; safety; privacy; and societal considerations
785	PaLD: Detection of Text Partially Written by Large Language Models Authors: Eric Lei; Hsiang Hsu; Chun-Fu Chen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM text detection; mixed-text detection; distribution shift; fairness; safety; privacy; and societal considerations
786	Pacmann: Efficient Private Approximate Nearest Neighbor Search Authors: Mingxun Zhou; Elaine Shi; Giulia Fanti Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Information Retrieval; Privacy; fairness; safety; privacy; and societal considerations
787	Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs Authors: Xuandong Zhao; Lei Li; Yu-Xiang Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Watermark; AI Safety; Decoding; fairness; safety; privacy; and societal considerations
788	Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents Authors: Haoyu Wang; Sunhao Dai; Haiyuan Zhao; Liang Pang; Xiao Zhang; Gang Wang; Zhenhua Dong; Jun Xu; Ji-Rong Wen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Source Bias; LLM-Generated Content; Infomation Retrieval; Large Language Models; fairness; safety; privacy; and societal considerations
789	Persistent Pre-training Poisoning of LLMs Authors: Yiming Zhang; Javier Rando; Ivan Evtimov; Jianfeng Chi; Eric Michael Smith; Nicholas Carlini; Florian Tramèr; Daphne Ippolito Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: poisoning; pretraining; large language models; security; fairness; safety; privacy; and societal considerations
790	PiCO: Peer Review in LLMs based on Consistency Optimization Authors: Kun-Peng Ning; Shuo Yang; Yuyang Liu; Jia-Yu Yao; Zhenhui Liu; Yonghong Tian; Yibing Song; Li Yuan 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; Unsupervised Evaluation; Peer Review; Consistency Optimization; fairness; safety; privacy; and societal considerations
791	Policy Design in Long-run Welfare Dynamics Authors: Jiduan Wu; Rediet Abebe; Moritz Hardt; Ana-Andreea Stoica Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Long-run welfare; policy design; Rawlsian policy and utilitarianism; fairness; safety; privacy; and societal considerations
792	Privacy Auditing of Large Language Models Authors: Ashwinee Panda; Xinyu Tang; Christopher A. Choquette-Choo; Milad Nasr; Prateek Mittal Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: llm memorization; canaries design; membership inference attacks; privacy auditing; differential privacy; fairness; safety; privacy; and societal considerations
793	Privately Counting Partially Ordered Data Authors: Matthew Joseph; Mónica Ribero; Alexander Yu 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; safety; privacy; and societal considerations
794	ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs Authors: Hao Di; Tong He; Haishan Ye; Yinghui Huang; Xiangyu Chang; Guang Dai; Ivor Tsang 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 model; fairness; safety; privacy; and societal considerations
795	Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility Authors: Martin Kuo; Jingyang Zhang; Jianyi Zhang; Minxue Tang; Louis DiValentin; Aolin Ding; Jingwei Sun; William Chen; Amin Hass; Tianlong Chen; Yiran Chen; Hai 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; Personal identifiable information; Protect private data leakage; fairness; safety; privacy; and societal considerations
796	Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models Authors: Biao Yi; Tiansheng Huang; Sishuo Chen; Tong Li; Zheli Liu; Zhixuan Chu; Yiming Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Backdoor Unalignment; Backdoor Defense; Instruction-tuned LLMs; AI Safety; AI Security; fairness; safety; privacy; and societal considerations
797	Prompting Fairness: Integrating Causality to Debias Large Language Models Authors: Jingling Li; Zeyu Tang; Xiaoyu Liu; Peter Spirtes; Kun Zhang; Liu Leqi; Yang Liu 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; Prompting; Social Bias; Causality; Debias; Selection Mechanism; fairness; safety; privacy; and societal considerations
798	Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization Authors: Shuang Liu; Yihan Wang; Yifan Zhu; Yibo Miao; Xiao-Shan Gao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial examples; Robust overfitting; WDRO; fairness; safety; privacy; and societal considerations
799	Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks Authors: Jiate Li; Meng Pang; Yun Dong; Jinyuan Jia; Binghui Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Certiffed Defenses; Explainable Graph Neural Network; Explainable Artificial Intelligence; fairness; safety; privacy; and societal considerations
800	Provably Safeguarding a Classifier from OOD and Adversarial Samples Authors: Nicolas Atienza; Johanne Cohen; Christophe Labreuche; Michele Sebag Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: OOD detection; Adversarial detection; Extreme Value Theory; fairness; safety; privacy; and societal considerations
801	QA-Calibration of Language Model Confidence Scores Authors: Putra Manggala; Atalanti A. Mastakouri; Elke Kirschbaum; Shiva Kasiviswanathan; Aaditya Ramdas Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Calibration; Language Models; fairness; safety; privacy; and societal considerations
802	REFINE: Inversion-Free Backdoor Defense via Model Reprogramming Authors: Yukun Chen; Shuo Shao; Enhao Huang; Yiming Li; Pin-Yu Chen; Zhan Qin; Kui Ren Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Backdoor Defense; Model Reprogramming; Backdoor Learning; AI Security; Trustworthy ML; fairness; safety; privacy; and societal considerations
803	RMB: Comprehensively benchmarking reward models in LLM alignment Authors: Enyu Zhou; Guodong Zheng; Binghai Wang; Zhiheng Xi; Shihan Dou; Rong Bao; Wei Shen; Limao Xiong; Jessica Fan; Yurong Mou; Rui Zheng; Tao Gui; Qi Zhang; Xuanjing Huang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Alignment; reward model; evaluation; fairness; safety; privacy; and societal considerations
804	RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization Authors: Hanyang Zhao; Genta Indra Winata; Anirban Das; Shi-Xiong Zhang; David Yao; Wenpin Tang; Sambit Sahu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Alignment; Preference Optimization; Reinforcement Learning from Human Feedback; fairness; safety; privacy; and societal considerations
805	Reconciling Model Multiplicity for Downstream Decision Making Authors: Ally Yalei Du; Dung Daniel Ngo; Steven Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: model multiplicity; multi-calibration; decision-making; uncertainty quantification; fairness; safety; privacy; and societal considerations
806	Refine Knowledge of Large Language Models via Adaptive Contrastive Learning Authors: Yinghui Li; Haojing Huang; Jiayi Kuang; Yangning Li; Shu-Yu Guo; Chao Qu; Xiaoyu Tan; Hai-Tao Zheng; Ying Shen; 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: Large Language Models; Model Hallucination; Model Alignment; fairness; safety; privacy; and societal considerations
807	Regretful Decisions under Label Noise Authors: Sujay Nagaraj; Yang Liu; Flavio Calmon; Berk Ustun Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Uncertainty Quantification; Fairness; Model Multiplicity; Clinical Decision Support; Classification; Label Noise; fairness; safety; privacy; and societal consi…
808	Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems Authors: Shihong Song; Guanlin Mo; Hu Ding Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: clustering; k-means; fairness; approxiamte algorithm; optimal transport; fairness; safety; privacy; and societal considerations
809	Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks Authors: Wangjia Yu; Xiaomeng Fu; Qiao Li; Jizhong Han; Xiaodan Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: fairness; safety; privacy; and societal considerations
810	Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models Authors: Mazda Moayeri; Sriram Balasubramanian; Samyadeep Basu; Priyatham Kattakinda; Atoosa Chegini; Robert Brauneis; Soheil Feizi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: evaluating copying; copyright; generative ai; text-to-image; ai art; law; interpretability; social impact; fairness; safety; privacy; and societal consideratio…
811	Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives Authors: Zeliang Zhang; Susan Liang; Daiki Shimada; Chenliang Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: audio-visual learning; adversarial attack; fairness; safety; privacy; and societal considerations
812	Rethinking Fair Representation Learning for Performance-Sensitive Tasks Authors: Charles Jones; Fabio De Sousa Ribeiro; Mélanie Roschewitz; Daniel C. Castro; Ben Glocker Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fairness; Causality; Representation Learning; Distribution Shift; fairness; safety; privacy; and societal considerations
813	Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Authors: Futa Kai Waseda; Ching-Chun Chang; Isao Echizen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: computer vision; adversarial defense; adversarial robustness; robustness-accuracy trade-off; fairness; safety; privacy; and societal considerations
814	Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond Authors: Qizhou Wang; Jin Peng Zhou; Zhanke Zhou; Saebyeol Shin; Bo Han; Kilian Q Weinberger 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
815	Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) Authors: Leander Girrbach; Stephan Alaniz; Yiran Huang; 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: gender bias; vision-language-models; fairness; safety; privacy; and societal considerations
816	Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation Authors: Lun Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Micro-batch Clipping; Convergence Analysis; fairness; safety; privacy; and societal considerations
817	Robust Representation Consistency Model via Contrastive Denoising Authors: Jiachen Lei; Julius Berner; Jiongxiao Wang; Zhongzhu Chen; Chaowei Xiao; Zhongjie Ba; Kui Ren; Jun Zhu; Anima Anandkumar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Certified Robustness; Diffusion-based randomized smoothing; fairness; safety; privacy; and societal considerations
818	Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances Authors: Shilin Lu; Zihan Zhou; Jiayou Lu; Yuanzhi Zhu; 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: AI Security; Watermark; Diffusion Model; Image Editing; fairness; safety; privacy; and societal considerations
819	SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation Authors: Jaehong Yoon; Shoubin Yu; Vaidehi Patil; Huaxiu Yao; Mohit Bansal Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Safe generation; Text-to-image generation; Text-to-video generation; fairness; safety; privacy; and societal considerations
820	SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP Authors: Yusuke Hirota; Min-Hung Chen; Chien-Yi Wang; Yuta Nakashima; Yu-Chiang Frank Wang; Ryo Hachiuma Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Societal bias; CLIP; Debiasing; Fairness; fairness; safety; privacy; and societal considerations
821	SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection Authors: Han Shen; Pin-Yu Chen; Payel Das; Tianyi Chen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM fine-tuning; LLM safety; bilevel optimization; fairness; safety; privacy; and societal considerations
822	SEBRA : Debiasing through Self-Guided Bias Ranking Authors: Adarsh Kappiyath; Abhra Chaudhuri; AJAY KUMAR JAISWAL; Ziquan Liu; Yunpeng Li; Xiatian Zhu; Lu Yin Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Spurious Correlations; Bias Mitigation; Sub-population shift; Fairness; fairness; safety; privacy; and societal considerations
823	SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation Authors: Mingjie Li; Wai Man Si; Michael Backes; Yang Zhang; Yisen Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: PEFT Training; Safety Alignment Preserving; fairness; safety; privacy; and societal considerations
824	SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations Authors: Zhaorun Chen; Francesco Pinto; Minzhou Pan; Bo Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Video Guardrail Model; Safe Foundation Models; Efficient LLMs Inference; LLM Safety; Multimodal Foundation Models; fairness; safety; privacy; and societal cons…
825	Safety Layers in Aligned Large Language Models: The Key to LLM Security Authors: Shen Li; Liuyi Yao; Lan Zhang; Yaliang Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: safety layers; LLM security; LLM alignment; fairness; safety; privacy; and societal considerations
826	Scalable Extraction of Training Data from Aligned, Production Language Models Authors: Milad Nasr; Javier Rando; Nicholas Carlini; Jonathan Hayase; Matthew Jagielski; A. Feder Cooper; Daphne Ippolito; Christopher A. Choquette-Choo; Florian Tramèr; Katherine Lee Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: privacy; language models; data extraction; security; fairness; safety; privacy; and societal considerations
827	SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography Authors: Xuanyu Zhang; Jiarui Meng; Zhipei Xu; Shuzhou Yang; Yanmin Wu; Ronggang Wang; Jian Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: 3DGS steganography; copyright protection; watermarking; fairness; safety; privacy; and societal considerations
828	See It from My Perspective: How Language Affects Cultural Bias in Image Understanding Authors: Amith Ananthram; Elias Stengel-Eskin; Mohit Bansal; Kathleen McKeown 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; multilinguality; cultural bias; vqa; emotion classification; art; fairness; safety; privacy; and societal considerations
829	Selective Unlearning via Representation Erasure Using Domain Adversarial Training Authors: Nazanin Mohammadi Sepahvand; Eleni Triantafillou; Hugo Larochelle; Doina Precup; James J. Clark; Daniel M. Roy; Gintare Karolina Dziugaite Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: approximate unlearning; adversarial training; fairness; safety; privacy; and societal considerations
830	Self-Improving Robust Preference Optimization Authors: Eugene Choi; Arash Ahmadian; Matthieu Geist; Olivier Pietquin; Mohammad Gheshlaghi Azar Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Preference optimization; direct alignment; reinforcement learning from human feedback; Self-refinement; fairness; safety; privacy; and societal considerations
831	Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models Authors: Fushuo Huo; Wenchao Xu; Zhong Zhang; Haozhao Wang; Zhicheng Chen; Peilin Zhao Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Trustworthy AI; Hallucination Alleviation; Large Vision-Language Models; Decoding Strategy; fairness; safety; privacy; and societal considerations
832	Self-Play Preference Optimization for Language Model Alignment Authors: Yue Wu; Zhiqing Sun; Huizhuo Yuan; Kaixuan Ji; Yiming Yang; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: self play; preference optimization; large language model; RLHF; fairness; safety; privacy; and societal considerations
833	Sensitivity Verification for Additive Decision Tree Ensembles Authors: Arhaan Ahmad; Tanay Vineet Tayal; Ashutosh Gupta; 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; fairness; safety; privacy; and societal con…
834	Shh, don't say that! Domain Certification in LLMs Authors: Cornelius Emde; Alasdair Paren; Preetham Arvind; Maxime Guillaume Kayser; Tom Rainforth; Thomas Lukasiewicz; Philip Torr; Adel Bibi 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; natural language processing; adversarial robustness; adversary; natural text generation; certification; verification; fairness; safety; p…
835	SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters Authors: Teng Xiao; Yige Yuan; Zhengyu Chen; Mingxiao Li; Shangsong Liang; Zhaochun Ren; Vasant G Honavar 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; RLHF; fairness; safety; privacy; and societal considerations
836	Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks Authors: Tianqu Zhuang; Hongyao Yu; Yixiang Qiu; Hao Fang; Bin Chen; 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: AI security; model inversion attack; information bottleneck; conditional mutual information; fairness; safety; privacy; and societal considerations
837	Strategic Classification With Externalities Authors: Safwan Hossain; Evi Micha; Yiling Chen; Ariel D. Procaccia Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: strategic classification; game theory; strategic machine learning; algorithmic game theory; fairness; safety; privacy; and societal considerations
838	Strong Preferences Affect the Robustness of Preference Models and Value Alignment Authors: Ziwei Xu; Mohan Kankanhalli Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Preference models; robustness of value alignment; sensitivity analysis; AI safety; fairness; safety; privacy; and societal considerations
839	Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization Authors: Wenkai Yang; Shiqi Shen; Guangyao Shen; Wei Yao; Yong Liu; Gong Zhi; Yankai Lin; Ji-Rong Wen Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Superalignment; Weak-to-Strong; Security; fairness; safety; privacy; and societal considerations
840	Support is All You Need for Certified VAE Training Authors: Changming Xu; Debangshu Banerjee; Deepak Vasisht; Gagandeep Singh Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Certified Training; Trustworthy Machine Learning; Variational Autoencoder; Wireless; fairness; safety; privacy; and societal considerations
841	Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation Authors: Xinpeng Wang; Chengzhi Hu; Paul Röttger; Barbara Plank Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM Safety; Exaggerated Safety; Representation Editing; fairness; safety; privacy; and societal considerations
842	Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Authors: Nguyen Hoang Khoi Do; Truc Nguyen; Malik Hassanaly; raed alharbi; Jung Taek Seo; My T. Thai Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Anomaly detection; Reinforcement learning; Generative AI; fairness; safety; privacy; and societal considerations
843	TASAR: Transfer-based Attack on Skeletal Action Recognition Authors: Yunfeng Diao; Baiqi Wu; Ruixuan Zhang; Ajian Liu; Xiaoshuai Hao; Xingxing Wei; Meng Wang; He Wang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Human Activity Recognition; Transfer-based adversarial attack; fairness; safety; privacy; and societal considerations
844	TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights Authors: Aiwei Liu; Haoping Bai; Zhiyun Lu; Yanchao Sun; Xiang Kong; Xiaoming Simon Wang; Jiulong Shan; Albin Madappally Jose; Xiaojiang Liu; Lijie Wen; Philip S. Yu; Meng Cao 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; Importance Sampling; Preference Learning; fairness; safety; privacy; and societal considerations
845	TODO: Enhancing LLM Alignment with Ternary Preferences Authors: Yuxiang Guo; Lu Yin; Bo Jiang; Jiaqi Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM; Preference alignment; Ternary Preference; fairness; safety; privacy; and societal considerations
846	Tailoring Mixup to Data for Calibration Authors: Quentin Bouniot; Pavlo Mozharovskyi; Florence d'Alché-Buc Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: mixup; calibration; confidence; robustness; fairness; safety; privacy; and societal considerations
847	Tamper-Resistant Safeguards for Open-Weight LLMs Authors: Rishub Tamirisa; Bhrugu Bharathi; Long Phan; Andy Zhou; Alice Gatti; Tarun Suresh; Maxwell Lin; Justin Wang; Rowan Wang; Ron Arel; Andy Zou; Dawn Song; Bo Li; Dan Hendrycks; Manta… 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 models; tamper-resistance; unlearning; meta-learning; fairness; safety; privacy; and societal considerations
848	The Crucial Role of Samplers in Online Direct Preference Optimization Authors: Ruizhe Shi; Runlong Zhou; Simon Shaolei Du Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: direct preference optimization; online DPO; tabular softmax policy; fairness; safety; privacy; and societal considerations
849	The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD Authors: Milad Nasr; Thomas Steinke; Borja Balle; Christopher A. Choquette-Choo; Arun Ganesh; Matthew Jagielski; Jamie Hayes; Abhradeep Guha Thakurta; Adam Smith; Andreas Terzis Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: differential privacy; heuristics; privacy auditing; fairness; safety; privacy; and societal considerations
850	The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning Authors: Youssef Allouah; Joshua Kazdan; 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: machine unlearning; differential privacy; optimization; theory; fairness; safety; privacy; and societal considerations
851	Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model Authors: Tudor Ioan Cebere; 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; Privacy Auditing; Machine Learning; fairness; safety; privacy; and societal considerations
852	To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation Authors: Wanlin Zhang; Weichen Lin; Ruomin Huang; Shihong Song; Hu Ding Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: robustness; diversity; ensemble training; Fourier transformation; fairness; safety; privacy; and societal considerations
853	Towards Certification of Uncertainty Calibration under Adversarial Attacks Authors: Cornelius Emde; Francesco Pinto; Thomas Lukasiewicz; Philip Torr; Adel Bibi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine Learning; Adversarial Robustness; Certification; Adversarial Training; Uncertainty Quantification; Calibration; Deep Learning; Certified Calibration; f…
854	Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs Authors: Sungmin Cha; Sungjun Cho; Dasol Hwang; Moontae Lee 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; Low-rank Adaptation; fairness; safety; privacy; and societal considerations
855	Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Authors: Somnath Basu Roy Chowdhury; Krzysztof Marcin Choromanski; Arijit Sehanobish; Kumar Avinava Dubey; Snigdha Chaturvedi Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine Unlearning; Data Deletion; Exact Unlearning; fairness; safety; privacy; and societal considerations
856	Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective Authors: Yiming Liu; Kezhao Liu; Yao Xiao; ZiYi Dong; Xiaogang Xu; Pengxu Wei; Liang Lin Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Adversarial Defense; Adversarial Purification; Diffusion Training; Randomized Defense; fairness; safety; privacy; and societal considerations
857	Towards counterfactual fairness through auxiliary variables Authors: Bowei Tian; Ziyao Wang; Shwai He; Wanghao Ye; Guoheng Sun; Yucong Dai; Yongkai Wu; Ang Li Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Counterfactual; Fairness; Auxiliary variables; fairness; safety; privacy; and societal considerations
858	Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images Authors: Yubo Wang; Jianting Tang; Chaohu Liu; Linli Xu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Copyright Tracking; Large Vision-Language Models; Adversarial Attacks; Fine-tuning; fairness; safety; privacy; and societal considerations
859	Training Robust Ensembles Requires Rethinking Lipschitz Continuity Authors: Ali Ebrahimpour-Boroojeny; Hari Sundaram; Varun Chandrasekaran Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: robustness; lipschitzness; ensembles; convolutions; transferability; black-box attacks; fairness; safety; privacy; and societal considerations
860	Training-free LLM-generated Text Detection by Mining Token Probability Sequences Authors: Yihuai Xu; Yongwei Wang; Yifei Bi; Huangsen Cao; Zhouhan Lin; Yu Zhao; Fei Wu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Fake text detection; training-free; detection; fairness; safety; privacy; and societal considerations
861	Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron Authors: Yiran Zhao; Wenxuan Zhang; Yuxi Xie; Anirudh Goyal; Kenji Kawaguchi; Michael Shieh 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; Alignment; Safety; Interpretability; Neuron Detection; fairness; safety; privacy; and societal considerations
862	Understanding and Enhancing the Transferability of Jailbreaking Attacks Authors: Runqi Lin; Bo Han; Fengwang Li; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Jailbreaking Attack; Black-box Transferable Attack; Large Language Model; Red-teaming Evaluation; fairness; safety; privacy; and societal considerations
863	Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study Authors: Xingxuan Zhang; Haoran Wang; Jiansheng Li; Yuan Xue; Shikai Guan; Renzhe Xu; Hao Zou; Han Yu; Peng Cui Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: generalization; in-context learning; transformer; fairness; safety; privacy; and societal considerations
864	UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation Authors: Huimin LU; Masaru Isonuma; Junichiro Mori; Ichiro Sakata 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; Detoxification; Safety; Fairness; fairness; safety; privacy; and societal considerations
865	Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy Authors: Yangsibo Huang; Daogao Liu; Lynn Chua; Badih Ghazi; Pritish Kamath; Ravi Kumar; Pasin Manurangsi; Milad Nasr; Amer Sinha; Chiyuan Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Machine unlearning; Security; Privacy; Attack; fairness; safety; privacy; and societal considerations
866	Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning Authors: Shengyuan Hu; Yiwei Fu; Steven Wu; Virginia Smith 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 Model; fairness; safety; privacy; and societal considerations
867	Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification Authors: Santiago Cortes-Gomez; Carlos Miguel Patiño; Yewon Byun; Steven Wu; Eric Horvitz; Bryan Wilder Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Decision-focused learning; decision making; uncertainty quantification; healthcare; fairness; safety; privacy; and societal considerations
868	Variational Best-of-N Alignment Authors: Afra Amini; Tim Vieira; Elliott Ash; Ryan Cotterell Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Alignment; RLHF; Best-of-N; fairness; safety; privacy; and societal considerations
869	VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking Authors: Runyi Hu; Jie Zhang; Yiming Li; Jiwei Li; Qing Guo; Han Qiu; Tianwei Zhang Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: video; watermarking; tamper localization; fairness; safety; privacy; and societal considerations
870	Ward: Provable RAG Dataset Inference via LLM Watermarks Authors: Nikola Jovanović; Robin Staab; Maximilian Baader; Martin Vechev Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: llm; watermarks; dataset inference; rag; fairness; safety; privacy; and societal considerations
871	Weighted-Reward Preference Optimization for Implicit Model Fusion Authors: Ziyi Yang; Fanqi Wan; Longguang Zhong; Tianyuan Shi; Xiaojun Quan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: Model Fusion; Preference Optimization; Large Language Models; fairness; safety; privacy; and societal considerations
872	Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks Authors: Nguyen Hung-Quang; Ngoc-Hieu Nguyen; The-Anh Ta; Thanh Nguyen-Tang; Kok-Seng Wong; Hoang Thanh-Tung; Khoa D Doan Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: backdoor attack; data selection; fairness; safety; privacy; and societal considerations
873	Your Weak LLM is Secretly a Strong Teacher for Alignment Authors: Leitian Tao; Yixuan 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; alignment; fairness; safety; privacy; and societal considerations
874	h4rm3l: A Language for Composable Jailbreak Attack Synthesis Authors: Moussa Koulako Bala Doumbouya; Ananjan Nandi; Gabriel Poesia; Davide Ghilardi; Anna Goldie; Federico Bianchi; Dan Jurafsky; Christopher D Manning Affiliation: 官方页面未列出 Official area / track: alignment, fairness, safety, privacy, and societal considerations Recognition: Poster/Regular Keywords: LLM safety; program synthesis; compositional modeling; jailbreak attacks; red-teaming; domain-specific languages; string transformations; AI safety research; b…
875	$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models Authors: Yaxin Luo; Gen Luo; Jiayi Ji; Yiyi Zhou; Xiaoshuai Sun; Zhiqiang Shen; Rongrong 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: mixture of depths; multimodal large language models; audio; language; and other modalities
876	3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline Authors: Jingwei Xu; Yikai Wang; Yiqun Zhao; Yanwei Fu; Shenghua 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: 3D inpainting; Empty Street Reconstruction; audio; language; and other modalities
877	3D Vision-Language Gaussian Splatting Authors: Qucheng Peng; Benjamin Planche; Zhongpai Gao; Meng Zheng; Anwesa Choudhuri; Terrence Chen; Chen Chen; Ziyan 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: Multi-modal 3D Scene Understanding; Gaussian Splatting; Open-vocabulary Semantic Segmentation; Open-vocabulary Object Localization; audio; language; and other…
878	3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling Authors: Qizhi Pei; Rui Yan; Kaiyuan Gao; Jinhua Zhu; Lijun 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: molecule-text modeling; 3D molecular tokenization; language model; audio; language; and other modalities
879	3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting Authors: Qihang Zhang; Yinghao Xu; Chaoyang Wang; Hsin-Ying Lee; Gordon Wetzstein; Bolei Zhou; Ceyuan 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: image editting; gaussian splatting; 3D; audio; language; and other modalities
880	6D Object Pose Tracking in Internet Videos for Robotic Manipulation Authors: Georgy Ponimatkin; Martin Cífka; Tomas Soucek; Médéric Fourmy; Yann Labbé; Vladimir Petrik; Josef Sivic Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: 6DoF pose estimation; robotic manipulation from video; audio; language; and other modalities
881	A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis Authors: Xiaoyu Cui; Weixing Chen; Jiandong 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: Causal Inference; Pathological Image Analysis; audio; language; and other modalities
882	A Sanity Check for AI-generated Image Detection Authors: Shilin Yan; Ouxiang Li; Jiayin Cai; Yanbin Hao; Xiaolong Jiang; Yao Hu; Weidi 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: AI-generated image detection; Chameleon dataset; mixture-of-experts; audio; language; and other modalities
883	A Simple Framework for Open-Vocabulary Zero-Shot Segmentation Authors: Thomas Stegmüller; Tim Lebailly; Nikola Đukić; Behzad Bozorgtabar; Tinne Tuytelaars; Jean-Philippe Thiran 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; Zero-shot segmentation; audio; language; and other modalities
884	A Theory for Token-Level Harmonization in Retrieval-Augmented Generation Authors: Shicheng Xu; Liang Pang; Huawei Shen; Xueqi 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: Retrieval-augmented generation; Duality; Large Language Models; audio; language; and other modalities
885	ARB-LLM: Alternating Refined Binarizations for Large Language Models Authors: Zhiteng Li; Xianglong Yan; Tianao Zhang; Haotong Qin; Dong Xie; Jiang Tian; zhongchao shi; Linghe Kong; 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: Binarization; LLM; audio; language; and other modalities
886	ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation Authors: Zongyi Li; Shujie HU; Shujie LIU; Long Zhou; Jeongsoo Choi; Lingwei Meng; Xun Guo; Jinyu Li; Hefei Ling; 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: transformer; video generation; diffusion; audio; language; and other modalities
887	Action Sequence Augmentation for Action Anticipation Authors: Yihui Qiu; Deepu Rajan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Sequence Augmentation; Action Anticipation; Context-free Grammar; audio; language; and other modalities
888	Ada-K Routing: Boosting the Efficiency of MoE-based LLMs Authors: Tongtian Yue; Longteng Guo; Jie Cheng; Xuange Gao; Hua Huang; 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: Large Language Models; Mixture-of-Experts; Reinforcement Learning; audio; language; and other modalities
889	AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation Authors: Yuning Cui; Syed Waqas Zamir; Salman Khan; Alois Knoll; Mubarak Shah; Fahad Shahbaz Khan Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: All-in-one image restoration; frequency mining; frequency modulation; audio; language; and other modalities
890	Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? Authors: HyoJung Han; Akiko Eriguchi; Haoran Xu; Hieu Hoang; Marine Carpuat; Huda Khayrallah Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Vocabulary Adaptation; Vocabulary Transfer; Tokenizer Transfer; Initializing Embedding; Adapter; Multilingual; Machine Translation; audio; language; and other…
891	Adaptive Camera Sensor for Vision Models Authors: Eunsu Baek; Sung-hwan Han; Taesik Gong; Hyung-Sin 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: domain-adaptation; sensor-control; domain-shift; Out-of-Distribution; data-centric; audio; language; and other modalities
892	Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models Authors: Yoad Tewel; Rinon Gal; Dvir Samuel; Yuval Atzmon; Lior Wolf; Gal Chechik 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; Editing; Affordance; audio; language; and other modalities
893	Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages Authors: Zui Chen; Tianqiao Liu; Tongqing; Mi Tian; Weiqi Luo; Zitao 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: LLM continue pretrain; math problem solving; data synthesis; audio; language; and other modalities
894	Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos Authors: Gengshan Yang; Andrea Bajcsy; Shunsuke Saito; Angjoo Kanazawa 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 3d reconstruction; multi-video registration; motion generation; audio; language; and other modalities
895	Agents' Room: Narrative Generation through Multi-step Collaboration Authors: Fantine Huot; Reinald Kim Amplayo; Jennimaria Palomaki; Alice Shoshana Jakobovits; Elizabeth Clark; 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: fiction; creative writing; long-form generation; LLMs; agent; collaboration; multi-agent; dataset; evaluation; audio; language; and other modalities
896	Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation Authors: Shaonan Wu; Shuai Lu; Yeyun Gong; Nan Duan; Ping 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: Synthetic Data; Neural Theorem Proving; Formal Reasoning; Lean Theorem Prover; audio; language; and other modalities
897	Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception Authors: Ziqi Pang; Xin Xu; Yu-Xiong 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 for Perception; Diffusion Models; Visual Perception; audio; language; and other modalities
898	An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression Authors: Xiang Liu; Bin Chen; Zimo Liu; Yaowei Wang; 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: Video Compression; 3D Gaussian Splatting; Entropy Coding; audio; language; and other modalities
899	An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels Authors: Duy Kien Nguyen; Mido Assran; Unnat Jain; Martin R. Oswald; Cees G. M. Snoek; Xinlei 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: locality; convolutional networks; transformers; audio; language; and other modalities
900	An Intelligent Agentic System for Complex Image Restoration Problems Authors: Kaiwen Zhu; Jinjin Gu; Zhiyuan You; Yu Qiao; Chao 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: image restoration; low-level vision; agent; large language model; vision language model; audio; language; and other modalities
901	AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction Authors: Jingnan Gao; Zhuo Chen; Xiaokang Yang; Yichao 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: Surface Reconstruction; Neural Radiance Field; audio; language; and other modalities
902	AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors Authors: Ruoxuan Feng; Jiangyu Hu; Wenke Xia; TianciGao; Ao Shen; Yuhao Sun; Bin Fang; 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; Visuo-tactile Sensors; Cross-sensor Transferring; audio; language; and other modalities
903	Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers Authors: Shijie Chen; Bernal Jimenez Gutierrez; 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: Large Language Model; Information Retrieval; audio; language; and other modalities
904	Audio Large Language Models Can Be Descriptive Speech Quality Evaluators Authors: Chen Chen; Yuchen Hu; Siyin Wang; Helin Wang; Zhehuai Chen; Chao Zhang; Chao-Han Huck Yang; EngSiong Chng 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 LLM; Speech quality evaluation; audio; language; and other modalities
905	Automated Proof Generation for Rust Code via Self-Evolution Authors: Tianyu Chen; Shuai Lu; Shan Lu; Yeyun Gong; Chenyuan Yang; Xuheng Li; Md Rakib Hossain Misu; Hao Yu; Nan Duan; Peng CHENG; Fan Yang; Shuvendu K Lahiri; Tao Xie; Lidong 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; Program Verification; audio; language; and other modalities
906	Backdooring Vision-Language Models with Out-Of-Distribution Data Authors: Weimin Lyu; Jiachen Yao; Saumya Gupta; Lu Pang; Tao Sun; Lingjie Yi; Lijie Hu; Haibin Ling; Chao 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: VLMs; Backdoor Attack; image-to-text generation; audio; language; and other modalities
907	Brain-inspired $L_p$-Convolution benefits large kernels and aligns better with visual cortex Authors: Jea Kwon; Sungjun Lim; Kyungwoo Song; C. Justin 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: Lp-Convolution; Receptive Field; Multivariate p-generalized normal distribution; Representation Similarity; Visual Cortex; Gaussian Sparsity; audio; language;…
908	Bridging Compressed Image Latents and Multimodal Large Language Models Authors: Chia-Hao Kao; Cheng Chien; Yu-Jen Tseng; Yi-Hsin Chen; Alessandro Gnutti; Shao-Yuan Lo; Wen-Hsiao Peng; Riccardo Leonardi 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; Neural Image Compression; audio; language; and other modalities
909	Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach Authors: Zechen Bai; Tianjun Xiao; Tong He; Pichao WANG; Zheng Zhang; Thomas Brox; 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: Text-video Retrieval; Vision-Language Model; Multimodal; audio; language; and other modalities
910	Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization Authors: Yuxin Jiang; Bo Huang; Yufei Wang; Xingshan Zeng; Liangyou Li; Yasheng Wang; Xin Jiang; Lifeng Shang; Ruiming Tang; Wei 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; alignment; preference optimization; audio; language; and other modalities
911	Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder Authors: Antoine Schnepf; Karim Kassab; 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: Latent NeRF; NeRF; Autoencoder; Inverse Graphics; Nerfstudio; 3D; audio; language; and other modalities
912	Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting Authors: Yu Liu; Baoxiong Jia; Ruijie Lu; Junfeng Ni; 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: articulated object modeling; audio; language; and other modalities
913	CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression Authors: Yu-Ting Zhan; Cheng-Yuan Ho; Hebi Yang; Yi-Hsin Chen; Jui Chiu Chiang; Yu-Lun Liu; Wen-Hsiao 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: 3D Gaussian Splatting; Rate-Distortion Optimization; Context Models; Grid Representations; audio; language; and other modalities
914	CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators 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: Human pose estimation; 3d vision; uncertainty quantification; audio; language; and other modalities
915	CO-MOT: Boosting End-to-end Transformer-based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets Authors: Feng yan; Weixin Luo; Yujie Zhong; Yiyang Gan; Lin 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: End-to-End Tracking; Transformer; Multi-object Tracking; audio; language; and other modalities
916	CR-CTC: Consistency regularization on CTC for improved speech recognition Authors: Zengwei Yao; Wei Kang; Xiaoyu Yang; Fangjun Kuang; Liyong Guo; Han Zhu; Zengrui Jin; Zhaoqing Li; 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: Consistency regularization; CTC; speech recognition; audio; language; and other modalities
917	CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion Authors: Shoubin Yu; Jaehong Yoon; Mohit Bansal 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-Language Reasoning; Video Question Answering; Multimodal Fusion; Parameter-Efficient Fine-tuning; audio; language; and other modalities
918	Cached Multi-Lora Composition for Multi-Concept Image Generation Authors: Xiandong Zou; Mingzhu Shen; Christos-Savvas Bouganis; Yiren 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: Low-Rank Adaptation (LoRA); Multi-LoRA composition; Text-to-image models; Computational efficiency; audio; language; and other modalities
919	Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-grained Control Authors: Hejia Chen; Haoxian Zhang; Shoulong Zhang; Xiaoqiang Liu; Sisi Zhuang; zhangyuan; Pengfei Wan; Di ZHANG; Shuai 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 talking face; generative model; fine-grained control; action units; audio; language; and other modalities
920	CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation Authors: Matan Rusanovsky; 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: 2D Pose Estimation; Class-Agnostic; Few-Shot; Vision-Language Model; audio; language; and other modalities
921	Causal Graphical Models for Vision-Language Compositional Understanding Authors: Fiorenzo Parascandolo; Nicholas Moratelli; Enver Sangineto; Lorenzo Baraldi; Rita Cucchiara Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Compositionality; Vision-Language Models; Causal Learning; audio; language; and other modalities
922	Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models Authors: Zhenyu Pan; Haozheng Luo; Manling Li; 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: large language model; question answering; chain-of-thought; audio; language; and other modalities
923	Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models Authors: Jiyang Zheng; Jialiang Shen; Yu Yao; Min Wang; Yang Yang; Dadong Wang; Tongliang 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: Visual In-context Learning; audio; language; and other modalities
924	CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer Authors: Yang Liu; Zinan Zheng; Jiashun Cheng; Fugee Tsung; Deli Zhao; Yu Rong; 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: Weather and climate forecasting; audio; language; and other modalities
925	CityAnchor: City-scale 3D Visual Grounding with Multi-modality LLMs Authors: Jinpeng Li; Haiping Wang; Jiabin chen; Yuan Liu; Zhiyang Dou; Yuexin Ma; Sibei Yang; Yuan Li; Wenping Wang; 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 Visual Grounding; Large language model; multi-modality language model; audio; language; and other modalities
926	CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes Authors: Yang Liu; Chuanchen Luo; Zhongkai Mao; Junran Peng; Zhaoxiang 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: neural rendering; novel view synthesis; large-scale scene; radiance field; surfel splatting; surfel reconstruction; audio; language; and other modalities
927	Class Distribution-induced Attention Map for Open-vocabulary Semantic Segmentations Authors: Dong Un Kang; Hayeon Kim; Se Young Chun 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; Dense Localization; audio; language; and other modalities
928	ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension Authors: Tianren Ma; Lingxi Xie; Yunjie Tian; Boyu Yang; 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: Multimodal Learning; Visual Referring; Referring Expression Comprehension; Large Language Models; audio; language; and other modalities
929	CoMotion: Concurrent Multi-person 3D Motion Authors: Alejandro Newell; Peiyun Hu; Lahav Lipson; 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: human pose estimation; 3d human pose; tracking; audio; language; and other modalities
930	Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion Authors: Minkyoung Cho; Yulong Cao; Jiachen Sun; Qingzhao Zhang; Marco Pavone; Jeong Joon Park; Heng Yang; Zhuoqing 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: Multi-modal perception; Sensor fusion; Robustness; Uncertainty quantification; audio; language; and other modalities
931	CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning Authors: Ji Qi; Ming Ding; Weihan Wang; Yushi Bai; Qingsong Lv; Wenyi Hong; Bin Xu; Lei Hou; Juanzi Li; Yuxiao Dong; Jie 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 Reasoning; Vision-Language Models; Datasets Synthesis; Graphical Math Annotation; audio; language; and other modalities
932	ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors Authors: Tianxin Huang; Zhiwen Yan; Yuyang Zhao; 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: Gaussian Splatting; Diffusion Model; Point Cloud Completion; audio; language; and other modalities
933	Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering Authors: Xingrui Wang; Wufei Ma; Angtian Wang; Shuo Chen; Adam Kortylewski; Alan Yuille 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 question answering; Compositional reasoning; Physical scene understanding; 3D scene understanding; audio; language; and other modalities
934	Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data Authors: Michael Wornow; Suhana Bedi; Miguel Angel Fuentes Hernandez; Ethan Steinberg; Jason Alan Fries; Christopher Re; Sanmi Koyejo; Nigam Shah Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: ehr; foundation model; long context; clinical prediction making; healthcare; audio; language; and other modalities
935	Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series Authors: Yuxiao Hu; Qian Li; Dongxiao Zhang; Jinyue Yan; Yuntian 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: Time Series; Large Language Models; Context-Alignment; audio; language; and other modalities
936	Context-aware Dynamic Pruning for Speech Foundation Models Authors: Masao Someki; Yifan Peng; Siddhant Arora; Markus Müller; Athanasios Mouchtaris; Grant Strimel; Jing Liu; Shinji Watanabe Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Pruning; Speech Foundation Model; Automatic Speech Recognition; Speech Translation; audio; language; and other modalities
937	Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding Authors: Akash Kumar; Zsolt Kira; Yogesh S Rawat Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: spatio-temporal video grounding; weakly supervised learning; multimodal foundation models; dense video tasks; audio; language; and other modalities
938	Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis Authors: Weiwei Lin; Chenhang 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: Speech Synthesis; text-to-speech; audio; language; and other modalities
939	Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation Authors: Insoo Kim; Hana Lee; Hyong-Euk Lee; Jinwoo Shin Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Blur synthesis; Data augmentation; Blind motion deblurring; 3D motion modeling; audio; language; and other modalities
940	Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control Authors: Xianghui Ze; Zhenbo Song; Qiwei Wang; 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 street-view synthesis; diffusion model; controllable; precise pose Alignment; audio; language; and other modalities
941	Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models Authors: Shicheng Xu; Liang Pang; Yunchang Zhu; Huawei Shen; Xueqi 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: Vision-language alignment; Safety of LVLMs; Toxic Content; audio; language; and other modalities
942	DELTA: DENSE EFFICIENT LONG-RANGE 3D TRACKING FOR ANY VIDEO Authors: Tuan Duc Ngo; Peiye Zhuang; Evangelos Kalogerakis; Chuang Gan; Sergey Tulyakov; Hsin-Ying Lee; Chaoyang 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 Computer Vision; Point Tracking; audio; language; and other modalities
943	DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image Authors: Qingxuan Wu; Zhiyang Dou; Sirui Xu; Soshi Shimada; Chen Wang; Zhengming Yu; Yuan Liu; Cheng Lin; Zeyu Cao; Taku Komura; Vladislav Golyanik; Christian Theobalt; Wenping Wang; Lingj… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: interaction; deformation; end-to-end; mesh recovery; audio; language; and other modalities
944	Decoupling Layout from Glyph in Online Chinese Handwriting Generation Authors: Minsi Ren; Yan-Ming Zhang; yi 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: Online handwriting generation; Layout generation; Calligraphy imitation; Conditional diffusion Model; audio; language; and other modalities
945	DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search Authors: Huajian Xin; Z.Z. Ren; Junxiao Song; Zhihong Shao; Wanjia Zhao; Haocheng Wang; Bo Liu; Liyue Zhang; Xuan Lu; Qiushi Du; Wenjun Gao; Haowei Zhang; Qihao Zhu; Dejian Yang; Zhibin Go… 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 Theorem Proving; Formal Math; Large Language Model; Reinforcement Learning; Monte-Carlo Tree Search; audio; language; and other modalities
946	DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory Authors: Yutong Wang; Jiali Zeng; Xuebo Liu; Derek F. Wong; Fandong Meng; Jie Zhou; 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: Document-Level Translation; Large Language Models; Autonomous Agents; Natural Language Processing; audio; language; and other modalities
947	Depth Any Video with Scalable Synthetic Data Authors: Honghui Yang; Di Huang; Wei Yin; Chunhua Shen; Haifeng Liu; Xiaofei He; Binbin Lin; Wanli Ouyang; 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: Video Depth Estimation; Synthetic Game Data; audio; language; and other modalities
948	Depth Pro: Sharp Monocular Metric Depth in Less Than a Second Authors: Alexey Bochkovskiy; Amaël Delaunoy; Hugo Germain; Marcel Santos; Yichao Zhou; 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: depth estimation; computer vision; audio; language; and other modalities
949	Designing Concise ConvNets with Columnar Stages Authors: Ashish Kumar; Jaesik 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: Convolutional Neural Networks; Columnar Stages; Input Replication; Image Classification; Detection; audio; language; and other modalities
950	DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors Authors: Keon Lee; Dong Won Kim; Jaehyeon Kim; Seungjun Chung; Jaewoong Cho 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; speech synthesis; text-to-speech; tts; zero-shot; non-autoregressive; latent diffusion; transformer; audio; language; and other modalities
951	Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models Authors: Shuhong Zheng; Zhipeng Bao; Ruoyu Zhao; Martial Hebert; Yu-Xiong 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 Models; Generation; Dense Perception; audio; language; and other modalities
952	Diffusion Models Are Real-Time Game Engines Authors: Dani Valevski; Yaniv Leviathan; Moab Arar; Shlomi Fruchter 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; Neural Game Engines; Real-Time Simulation; Reinforcement Learning; Auto-Regressive Generation; Video Game Simulation; Interactive World Simul…
953	Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching Authors: Renjie Pan; Jihao Dong; Hua 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: Image-text matching; Contrastive learning; Vision and language; Multimodal learning; audio; language; and other modalities
954	Diversity-Rewarded CFG Distillation Authors: Geoffrey Cideron; Andrea Agostinelli; Johan Ferret; Sertan Girgin; Romuald Elie; Olivier Bachem; Sarah Perrin; Alexandre Rame 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; Distillation; CFG; RL; Diversity; Model Merging; audio; language; and other modalities
955	Do Egocentric Video-Language Models Truly Understand Hand-Object Interactions? Authors: Boshen Xu; Ziheng Wang; Yang Du; Zhinan Song; Sipeng Zheng; Qin 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: egocentric; hand-object interaction; video-language model; contrastive learning; multimodal representation learning; audio; language; and other modalities
956	DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models Authors: Chengke Zou; Xingang Guo; Rui Yang; Junyu Zhang; Bin Hu; Huan 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: Visual Mathematical Benchmark; Vision Language Models; audio; language; and other modalities
957	Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes Authors: Isabella Liu; Hao Su; Xiaolong 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: dynamic scene reconstruction; 4D reconstruction; 4D gaussian splatting; video reconstruction; audio; language; and other modalities
958	Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts Authors: Chenwei Wu; Zitao Shuai; Zhengxu Tang; Luning Wang; Liyue 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: Multimodal Learning; Medical Imaging; audio; language; and other modalities
959	Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness Authors: Boqian Wu; Qiao Xiao; Shunxin Wang; Nicola Strisciuglio; Mykola Pechenizkiy; Maurice van Keulen; Decebal Constantin Mocanu; Elena Mocanu 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 Sparse Training; Image Corruption Robustness; audio; language; and other modalities
960	ECHOPulse: ECG Controlled Echocardio-gram Video Generation Authors: Yiwei Li; Sekeun Kim; Zihao Wu; Hanqi Jiang; Yi Pan; Pengfei Jin; Sifan Song; Yucheng Shi; Xiaowei Yu; Tianze Yang; Tianming Liu; Quanzheng Li; 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: Medical video generation; ECHO synthesis; Multimodality; Wearable device; Medical foundation model; audio; language; and other modalities
961	EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing Authors: Kaizhi Zheng; Xiaotong Chen; Xuehai He; Jing Gu; Linjie Li; Zhengyuan Yang; Kevin Lin; Jianfeng Wang; Lijuan Wang; Xin Eric 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 Editing; Large Language Model; Diffusion-based Models; audio; language; and other modalities
962	Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Authors: Bing Cao; Quanhao Lu; Jiekang Feng; Qilong Wang; Pengfei Zhu; Qinghua 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: Video object counting; masked autoencoder; multimodal self-representation learning; audio; language; and other modalities
963	Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement Authors: Gaurav Patel; Christopher Michael Sandino; Behrooz Mahasseni; Ellen L. Zippi; Erdrin Azemi; Ali Moin; Juri Minxha 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 Series; Source-Free Domain Adaptation; Efficiency; audio; language; and other modalities
964	EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition Authors: Issar Tzachor; Boaz Lerner; Matan Levy; Michael Green; Tal Berkovitz Shalev; Gavriel Habib; Dvir Samuel; Noam Korngut Zailer; Or Shimshi; Nir Darshan; Rami Ben-Ari 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; Geo-Localization; Re-ranking; Vision Transformer; Self-Attention; audio; language; and other modalities
965	EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos Authors: Jilan Xu; Yifei Huang; Baoqi Pei; Junlin Hou; Qingqiu Li; Guo Chen; Yuejie Zhang; Rui Feng; Weidi 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: egocentric video; video prediction; audio; language; and other modalities
966	Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents Authors: BOLUN SUN; Yifan Zhou; Haiyun 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: LLM; Agent; Usable Privacy Policies; Benchmarking; HCI; audio; language; and other modalities
967	Enhancing End-to-End Autonomous Driving with Latent World Model Authors: Yingyan Li; Lue Fan; Jiawei He; Yuqi Wang; Yuntao Chen; Zhaoxiang Zhang; Tieniu 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: end-to-end autonomous driving; world model; self-supervised learning; audio; language; and other modalities
968	Enhancing Language Model Agents using Diversity of Thoughts Authors: Vijay Lingam; Behrooz Omidvar Tehrani; Sujay Sanghavi; Gaurav Gupta; Sayan Ghosh; Linbo Liu; Jun Huan; Anoop Deoras 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; Reasoning; Programming; audio; language; and other modalities
969	Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching Authors: Lile Cai; Chuan-Sheng Foo; Xun Xu; ZAIWANG GU; Jun Cheng; Xulei 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: Evidential Deep Learning; Dense Feature Matching; Pose Estimation; audio; language; and other modalities
970	Execution-guided within-prompt search for programming-by-example Authors: Gust Verbruggen; Ashish Tiwari; Mukul Singh; Vu Le; Sumit Gulwani Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: programming-by-example; program synthesis; large language models; audio; language; and other modalities
971	Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning Authors: Melanie Sclar; Jane Dwivedi-Yu; Maryam Fazel-Zarandi; Yulia Tsvetkov; Yonatan Bisk; Yejin Choi; Asli Celikyilmaz Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: theory of mind reasoning; adversarial data generation; program-guided data generation; audio; language; and other modalities
972	Exploring the Design Space of Visual Context Representation in Video MLLMs Authors: Yifan Du; Yuqi Huo; Kun Zhou; Zijia Zhao; Haoyu Lu; Han Huang; Xin Zhao; Bingning Wang; weipeng chen; Ji-Rong 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: Video Multimodal Large Language Model; Scaling Law; audio; language; and other modalities
973	Exposure Bracketing Is All You Need For A High-Quality Image Authors: Zhilu Zhang; Shuohao Zhang; Renlong Wu; Zifei Yan; 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: Exposure Bracketing; Image Restoration and Enhancement; audio; language; and other modalities
974	FIRING-Net: A filtered feature recycling network for speech enhancement Authors: Xinmeng Xu; Yiqun Zhang; Jizhen Li; Yuhong Yang; Yong Luo; Weiping 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: speech enhancement; target and non-target features; self-attention; audio; language; and other modalities
975	Fast Feedforward 3D Gaussian Splatting Compression Authors: Yihang Chen; Qianyi Wu; Mengyao Li; Weiyao Lin; Mehrtash Harandi; Jianfei 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: 3DGS; compression; optimization-free; audio; language; and other modalities
976	Fast Training of Sinusoidal Neural Fields via Scaling Initialization Authors: Taesun Yeom; Sangyoon Lee; Jaeho 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: sinusoidal neural fields; fast training; initializations; audio; language; and other modalities
977	FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality Authors: Zhengyao Lv; Chenyang Si; Junhao Song; Zhenyu Yang; Yu Qiao; Ziwei Liu; Kwan-Yee K. 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: Efficient Video Synthesis; audio; language; and other modalities
978	Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models Authors: Gen Luo; Yiyi Zhou; Yuxin Zhang; Xiawu Zheng; Xiaoshuai Sun; Rongrong 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: high-resolution adaptation; multimodal large language models; audio; language; and other modalities
979	Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors Authors: Lin-Zhuo Chen; Kangjie Liu; Youtian Lin; Zhihao Li; Siyu 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: 3D Vision; Differentiable Rendering; 3D Gaussian Splatting; audio; language; and other modalities
980	Flow: Modularized Agentic Workflow Automation Authors: Boye Niu; Yiliao Song; Kai Lian; Yifan Shen; Yu Yao; Kun Zhang; Tongliang 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: LLMs based Multi-Agent System; audio; language; and other modalities
981	FlowDec: A flow-based full-band general audio codec with high perceptual quality Authors: Simon Welker; Matthew Le; Ricky T. Q. Chen; Wei-Ning Hsu; Timo Gerkmann; Alexander Richard; YI-CHIAO 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: audio; audio codec; generative models; flow matching; postfilter; signal enhancement; audio; language; and other modalities
982	Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration Authors: Qintong Li; Jiahui Gao; Sheng Wang; Renjie Pi; Xueliang Zhao; Chuan Wu; Xin Jiang; Zhenguo Li; 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: data synthesis; preference learning; LLM alignment; audio; language; and other modalities
983	FormalAlign: Automated Alignment Evaluation for Autoformalization Authors: Jianqiao Lu; Yingjia Wan; Yinya Huang; Jing Xiong; Zhengying Liu; Zhijiang 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: Large Language models; Autoformalization; Lean 4; Formal Math; AI for Math; audio; language; and other modalities
984	Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models Authors: Jeffrey Gu; 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: neural fields; neural implicit representations; foundation models; hypernetworks; generalizable INR; audio; language; and other modalities
985	Frame-Voyager: Learning to Query Frames for Video Large Language Models Authors: Sicheng Yu; CHENGKAI JIN; Huanyu Wang; Zhenghao Chen; Sheng Jin; ZHONGRONG ZUO; XU XIAOLEI; Zhenbang Sun; Bingni Zhang; Jiawei Wu; Hao Zhang; Qianru 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-LLM; Adaptive Frame Sampling; audio; language; and other modalities
986	FreSh: Frequency Shifting for Accelerated Neural Representation Learning Authors: Adam Kania; Marko Mihajlovic; Sergey Prokudin; Jacek Tabor; Przemysław Spurek 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 bias; automatic hyperparameter selection; implicit neural representation; discrete fourier transform; audio; language; and other modalities
987	FreeVS: Generative View Synthesis on Free Driving Trajectory Authors: Qitai Wang; Lue Fan; Yuqi Wang; Yuntao Chen; Zhaoxiang 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: Novel View Synthesis; Driving Scene; Free Trajectory; Image Generation; audio; language; and other modalities
988	Fugatto 1: Foundational Generative Audio Transformer Opus 1 Authors: Rafael Valle; Rohan Badlani; Zhifeng Kong; Sang-gil Lee; Arushi Goel; Sungwon Kim; Joao Felipe Santos; Shuqi Dai; Siddharth Gururani; Aya Aljafari; Alexander H. Liu; Kevin J. Shih… 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; Audio; Foundation Models; audio; language; and other modalities
989	GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering Authors: HONGZE CHEN; 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: Inverse rendering; Gaussian Splatting; Relighting; audio; language; and other modalities
990	GLOMA: Global Video Text Spotting with Morphological Association Authors: Han Wang; Yanjie Wang; Yang Li; Can 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: Text Spotting; Text Detection; audio; language; and other modalities
991	GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting Authors: Changkun Liu; Shuai Chen; Yash Sanjay Bhalgat; Siyan HU; Ming Cheng; Zirui Wang; Victor Adrian Prisacariu; Tristan Braud 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 Localization; Camera Pose Estimation; 3D Gaussian Splatting; audio; language; and other modalities
992	GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting Authors: Junzhe Jiang; Chun Gu; Yurui Chen; 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: Gaussian Splatting; LiDAR Simulation; audio; language; and other modalities
993	GSE: Group-wise Sparse and Explainable Adversarial Attacks Authors: Shpresim Sadiku; Moritz Wagner; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Sparse Adversarial Attack; Quasinorm Regularization; Nesterov Accelerated Gradient; audio; language; and other modalities
994	Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher Authors: Yong Guo; Shulian Zhang; Haolin Pan; Jing Liu; Yulun Zhang; Jian 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: Knowledge Distillation; Model Expansion; Reparameterization; audio; language; and other modalities
995	Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping Authors: Tianhao Walter Wu; Jing Yang; Zhilin Guo; Jingyi Wan; Fangcheng Zhong; 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: Neural Radiance Field; Gaussian Splatting; Neural Head Avatar; audio; language; and other modalities
996	Gaussian Splatting Lucas-Kanade Authors: Liuyue Xie; Joel Julin; Koichiro Niinuma; Laszlo Attila Jeni 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; regularization; novel view synthesis; audio; language; and other modalities
997	Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting 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 spotting; semi-supervised learning; soft pseudo-labeling; audio; language; and other modalities
998	Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection Authors: Hongru Yan; Yu Zheng; Yueqi Duan 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 Object Detection; Surface Closure; audio; language; and other modalities
999	GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data Authors: Zhiteng Li; Lele Chen; Jerone Andrews; Yunhao Ba; Yulun Zhang; Alice Xiang Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: supervised learning; classification; computer vision; synthetic data; generative AI; responsible AI; fairness; audio; language; and other modalities
1000	GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling Authors: Jixun Yao; Hexin Liu; Chen Chen; Yuchen Hu; EngSiong Chng; Lei 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: speech enhancement; language model; semantic information; audio; language; and other modalities
1001	Generalizable Human Gaussians from Single-View Image Authors: Jinnan Chen; Chen Li; Jianfeng Zhang; Lingting Zhu; Buzhen Huang; Hanlin Chen; 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: Human Gaussians; 3D Human Reconstruction; audio; language; and other modalities
1002	Generalized Video Moment Retrieval Authors: You Qin; Qilong Wu; Yicong Li; Wei Ji; Li Li; Pengcheng Cai; Lina Wei; Roger Zimmermann 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 moment retrieval; diverse query types; model versatility; audio; language; and other modalities
1003	Generating CAD Code with Vision-Language Models for 3D Designs Authors: Kamel Alrashedy; Pradyumna Tambwekar; Zulfiqar Haider Zaidi; Megan Langwasser; Wei Xu; Matthew Gombolay 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; Self-refinement; audio; language; and other modalities
1004	Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension Authors: Jingcheng Ke; Jun-cheng Chen; I-hong Jhuo; Chia-Wen Lin; Yen-Yu 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: Referring expression generation; referring expression comprehension; vision-guided expression diffusion; vision-text condition; audio; language; and other moda…
1005	Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation Authors: Xiaojuan Wang; Boyang Zhou; Brian Curless; Ira Kemelmacher-Shlizerman; Aleksander Holynski; Steve Seitz 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 keyframe interpolation; image-to-video diffusion models; audio; language; and other modalities
1006	Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation Authors: Slava Elizarov; Ciara Rowles; Simon Donné 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; Geometry Image; Non-watertight mesh; Data efficiency; audio; language; and other modalities
1007	Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting Authors: Chong Cheng; Gaochao Song; Yiyang Yao; Qinzheng Zhou; Gangjian Zhang; Hao 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 Gaussian Splatting; 3D Reconstruction; NeRF; Large Scene Reconstruction; Graph; audio; language; and other modalities
1008	Grounding Multimodal Large Language Model in GUI World Authors: Weixian Lei; Difei Gao; 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: Multimodal Large Language Model; GUI Element Grounding; audio; language; and other modalities
1009	HAINAN: Fast and Accurate Transducer for Hybrid-Autoregressive ASR Authors: Hainan Xu; Travis M. Bartley; Vladimir Bataev; Boris Ginsburg 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; sequence modeling; non-autoregressive models; RNN-T; Transducers; audio; language; and other modalities
1010	HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes Authors: Xin Lin; Shi Luo; Xiaojun Shan; Xiaoyu Zhou; Chao Ren; Lu Qi; Ming-Hsuan Yang; Nuno Vasconcelos 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; 3D Gaussian Splatting; audio; language; and other modalities
1011	HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction Authors: Shengji Tang; Weicai Ye; Peng Ye; Weihao Lin; Yang Zhou; Tao Chen; Wanli Ouyang 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; Gaussian Splatting; Generalizable Multi-View Reconstruction; audio; language; and other modalities
1012	High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity Authors: Qian Yu; Peng-Tao Jiang; Hao Zhang; Jinwei Chen; Bo Li; Lihe Zhang; Huchuan 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: dichotomous image segmentation; diffusion models; high-resolution image segmentation; audio; language; and other modalities
1013	High-dimension Prototype is a Better Incremental Object Detection Learner Authors: Yanjie Wang; Liqun Chen; Tianming Zhao; Tao Zhang; Guodong Wang; Luxin Yan; Sheng Zhong; Jiahuan Zhou; Xu 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: Object Detection; Incremental Learning; Prototype Learning; audio; language; and other modalities
1014	How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings Authors: Samuel Audia; Soheil Feizi; Matthias Zwicker; Dinesh Manocha 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 tangent kernel; compute graphics; scientific computing; fourier feature encodings; multigrid parametric encodings; encodings; audio; language; and other…
1015	Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation Authors: Minghan Chen; Guikun Chen; 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: Scene Graph Generation; Visual Relation Detection; audio; language; and other modalities
1016	IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model Authors: Yatai Ji; Shilong Zhang; Jie Wu; Peize Sun; Weifeng Chen; Xuefeng Xiao; Sidi Yang; Yujiu Yang; Ping Luo 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; ID recognition; audio; language; and other modalities
1017	IDInit: A Universal and Stable Initialization Method for Neural Network Training Authors: Yu Pan; Chaozheng Wang; Zekai Wu; Qifan Wang; Min Zhang; Zenglin 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: Initialization; Idetity Matrix; Dynamic Isometry; audio; language; and other modalities
1018	IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning Authors: Quan Zhang; Yuxin Qi; Xi Tang; Jinwei Fang; Xi Lin; Ke Zhang; Chun 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: audio; language; and other modalities
1019	IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts Authors: Bohan Zeng; Shanglin Li; Yutang Feng; Ling Yang; Juan Zhang; Hong Li; Jiaming Liu; Conghui He; Wentao Zhang; Jianzhuang Liu; Baochang Zhang; 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: 3D generation; Diffusion model; audio; language; and other modalities
1020	ImDy: Human Inverse Dynamics from Imitated Observations Authors: Xinpeng Liu; Junxuan Liang; Zili Lin; Haowen Hou; Yong-Lu Li; Cewu 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: Motion Understanding; Inverse Dynamics; Biomechanics; audio; language; and other modalities
1021	Image and Video Tokenization with Binary Spherical Quantization Authors: Yue Zhao; Yuanjun Xiong; Philipp Kraehenbuehl 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; visual compression; visual generation; audio; language; and other modalities
1022	ImageFolder: Autoregressive Image Generation with Folded Tokens Authors: Xiang Li; Kai Qiu; Hao Chen; Jason Kuen; Jiuxiang Gu; Bhiksha Raj; Zhe 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: Semantic tokenizer; Autoregressive generation; Product quantization; audio; language; and other modalities
1023	Implicit Neural Surface Deformation with Explicit Velocity Fields Authors: Lu Sang; Zehranaz Canfes; Dongliang Cao; Florian Bernard; 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: Implicit Shape Representation; Neural Implicit Representation; Shape Deformation; Neural Surfaces; audio; language; and other modalities
1024	Improving Language Model Distillation through Hidden State Matching Authors: Sayantan Dasgupta; Trevor Cohn 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 Distillation; Centered Kernel Alignment; BART; mBART; T5; audio; language; and other modalities
1025	Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On Authors: Siqi Wan; Jingwen Chen; Yingwei Pan; Ting Yao; Tao Mei 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-On; Image Generation; audio; language; and other modalities
1026	Influence-Guided Diffusion for Dataset Distillation Authors: Mingyang Chen; Jiawei Du; Bo Huang; Yi Wang; Xiaobo Zhang; Wei 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; Dataset Condensation; Diffusion Model; Guided Diffusion Generation; audio; language; and other modalities
1027	InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping Authors: Yunchao Zhang; Guandao Yang; Leonidas Guibas; Yanchao 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: Mutual Information Maximization; 3D Reconstruction; 3D Editing; audio; language; and other modalities
1028	InstaRevive: One-Step Image Enhancement via Dynamic Score Matching Authors: Yixuan Zhu; Haolin Wang; Ao Li; Wenliang Zhao; Yansong Tang; Jingxuan Niu; Lei Chen; 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: Image Enhancement; Diffusion model; Score Distillation; audio; language; and other modalities
1029	InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting Authors: Chenxin Li; Hengyu Liu; Zhiwen Fan; Wuyang Li; Yifan Liu; Panwang Pan; Yixuan 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: Gaussian Splatting; 3D Generation; IP Verfication; audio; language; and other modalities
1030	InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling Authors: Muhammad Gohar Javed; chuan guo; Li cheng; Xingyu 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: Motion Synthesis; Human Interaction Generation; Masked Generative Transformer; Text-driven Generation; Vector Quantized VAE; audio; language; and other modalit…
1031	Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios Authors: Li Huaqiu; HuXiaowan; Haoqian 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: unsupervised learning; low-light image enhancement; image denoising; audio; language; and other modalities
1032	Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology Authors: Pei Liu; Luping Ji; Jiaxiang Gou; Bo Fu; Mao 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: Computation Pathology; Survival Analysis; Multi-Instance Learning; Whole-Slide Images; Vision-Language Modes; audio; language; and other modalities
1033	Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling Authors: Yuxin Dai; Qi Wang; Jingsen Zhu; Dianbing Xi; Yuchi Huo; Chen Qian; Ying 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: Inverse Rendering; Material Decomposition; 3D reconstruction; relighting; audio; language; and other modalities
1034	Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning Authors: Xiaolei Wang; Xinyu Tang; Junyi Li; Xin Zhao; Ji-Rong 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: In-context learning; audio; language; and other modalities
1035	Is Your Video Language Model a Reliable Judge? Authors: Ming Liu; Wensheng 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: Video Language Models; Model evaluation; Reliability; audio; language; and other modalities
1036	Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity Authors: Mutian He; Philip N. Garner Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: pretrained models; efficient attention; uptraining; speech processing; audio; language; and other modalities
1037	Kronecker Mask and Interpretive Prompts are Language-Action Video Learners Authors: Yang JingYi; Zitong YU; Nixiuming; He Jia; Hui 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: Action Recognition; Video Recognition; Spatiotemporal Modeling; audio; language; and other modalities
1038	L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement Authors: Morgan Bruce Talbot; Gabriel Kreiman; James J. DiCarlo; Guy Gaziv 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-aligned models; robust neural networks; visual perception; perceptual learning; medical machine learning; audio; language; and other modalities
1039	LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh Authors: Jing Wen; Alex Schwing; Shenlong 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: Generalizable human rendering; error feedback; dual representation; audio; language; and other modalities
1040	LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension Authors: Amaia Cardiel; Eloi Zablocki; Elias Ramzi; Oriane Siméoni; Matthieu Cord 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; Black-Box Adaptation; Referring Expression Comprehension; audio; language; and other modalities
1041	LLaMA-Omni: Seamless Speech Interaction with Large Language Models Authors: Qingkai Fang; Shoutao Guo; Yan Zhou; Zhengrui Ma; Shaolei Zhang; Yang 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: large language models; speech interaction; speech-to-speech; speech-language models; audio; language; and other modalities
1042	LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token Authors: Shaolei Zhang; Qingkai Fang; Zhe Yang; Yang 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: Large Multimodal Models; Large Language Models; audio; language; and other modalities
1043	LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation Authors: Fangxun Shu; Yue Liao; Lei Zhang; Le Zhuo; Chenning Xu; Guanghao Zhang; Haonan Shi; Long Chan; TaoZhong; Zhelun Yu; Wanggui He; Siming Fu; Haoyuan Li; Si Liu; Hongsheng Li; Hao 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: MLLM; MoE; Distillation; audio; language; and other modalities
1044	LR0.FM: Low-Res Benchmark and Improving robustness for Zero-Shot Classification in Foundation Models Authors: Priyank Pathak; Shyam Marjit; Shruti Vyas; Yogesh S Rawat 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; Robustness; Zeroshot; Foundation model; low resolution; low quality; audio; language; and other modalities
1045	Language-Assisted Feature Transformation for Anomaly Detection Authors: EungGu Yun; Heonjin Ha; Yeongwoo Nam; Bryan Dongik 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: anomaly detection; feature transformation; vision-language model; language guidance; audio; language; and other modalities
1046	Latent Radiance Fields with 3D-aware 2D Representations Authors: Chaoyi Zhou; Xi Liu; Feng Luo; Siyu 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 Gaussian Splatting; 3D-aware Representation; audio; language; and other modalities
1047	Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments Authors: Hongjin SU; Ruoxi Sun; Jinsung Yoon; Pengcheng Yin; Tao Yu; Sercan O Arik 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 synthesis; Agent; Adaptation; audio; language; and other modalities
1048	Learning 3D Perception from Others' Predictions Authors: Jinsu Yoo; Zhenyang Feng; Tai-Yu Pan; Yihong Sun; Cheng Perng Phoo; Xiangyu Chen; Mark Campbell; Kilian Q Weinberger; Bharath Hariharan; Wei-Lun Chao 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; autonomous driving; label-efficient learning; domain adaptation; curriculum learning; collaborative perception; audio; language; and other…
1049	Learning Clustering-based Prototypes for Compositional Zero-Shot Learning Authors: Hongyu Qu; Jianan Wei; Xiangbo Shu; 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: Compositional Zero-Shot Learning; Prototype Learning; Representation Disentanglement; audio; language; and other modalities
1050	Learning Evolving Tools for Large Language Models Authors: Guoxin Chen; Zhong Zhang; Xin Cong; Fangda Guo; Yesai Wu; Yankai Lin; Wenzheng Feng; Yasheng 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: Tool Learning; Monte Calro Tree Search; Large Language Models; audio; language; and other modalities
1051	Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval Authors: Yue WU; Zhaobo Qi; Yiling Wu; Junshu Sun; Yaowei Wang; Shuhui 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: Composed Video Retrieval; Fine-grained Representation; Feature Disentanglement; audio; language; and other modalities
1052	Learning Gain Map for Inverse Tone Mapping Authors: Yinuo Liao; Yuanshen Guan; Ruikang Xu; Jiacheng Li; Shida Sun; 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: Computational Photography; Inverse Tone Mapping; Gain Map; audio; language; and other modalities
1053	Learning General-purpose Biomedical Volume Representations using Randomized Synthesis Authors: Neel Dey; Benjamin Billot; Hallee E. Wong; Clinton Wang; Mengwei Ren; Ellen Grant; Adrian V Dalca; Polina Golland Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: synthetic data; representation learning; medical image analysis; image registration; image segmentation; audio; language; and other modalities
1054	Learning Spatial-Semantic Features for Robust Video Object Segmentation Authors: Xin Li; Deshui Miao; Zhenyu He; Yaowei Wang; Huchuan Lu; Ming-Hsuan 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 Object Segmentation; Spatial-Semantic Feature; Long-Term; Discriminative Object Queries; audio; language; and other modalities
1055	Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching Authors: Zetian Jiang; Jiaxin Lu; Haizhao Fan; Tianzhe Wang; Junchi 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: graph matching; audio; language; and other modalities
1056	Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training Authors: Maximillian Chen; Ruoxi Sun; Tomas Pfister; Sercan O Arik Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: dialogue system; conversation modeling; reinforcement learning; mixed-initiative interaction; LLM; RLHF; domain adaptation; data-efficient learning; clarificat…
1057	Let the Code LLM Edit Itself When You Edit the Code Authors: Zhenyu He; Jun Zhang; Shengjie Luo; Jingjing Xu; Zhi Zhang; Di 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: code generation; efficiency; large language model; code assistant; audio; language; and other modalities
1058	Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction Authors: M. Eren Akbiyik; Nedko Savov; Danda Pani Paudel; Nikola Popovic; Christian Vater; Otmar Hilliges; Luc Van Gool; Xi 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: Ego-trajectory prediction; driver attention; multimodal learning; field-of-view; gaze fixations; deep learning; autonomous driving; driver behavior modeling; d…
1059	Lightweight Predictive 3D Gaussian Splats Authors: Junli Cao; Vidit Goel; Chaoyang Wang; Anil Kag; Ju Hu; Sergei Korolev; Chenfanfu Jiang; Sergey Tulyakov; Jian 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: Gaussian splatting; audio; language; and other modalities
1060	LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation Authors: Farzad Farhadzadeh; Debasmit Das; Shubhankar Borse; Fatih Porikli Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: parameter efficient fine tuning; Low Rank Adaptation; knowledge distillation; audio; language; and other modalities
1061	Local Patterns Generalize Better for Novel Anomalies Authors: Yalong 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: Global Patterns; Local Patterns; Image-Text Alignment Module; Cross-Modality Attention; Temporal Sentence Generation; State Machine Module; audio; language; an…
1062	Locality Sensitive Avatars From Video Authors: Chunjin Song; Zhijie Wu; Shih-Yang Su; Bastian Wandt; Leonid Sigal; Helge Rhodin 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; Avatar Modeling; audio; language; and other modalities
1063	Locality-aware Gaussian Compression for Fast and High-quality Rendering Authors: Seungjoo Shin; Jaesik Park; Sunghyun Cho 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 rendering; neural fields; compression; audio; language; and other modalities
1064	Long-Sequence Recommendation Models Need Decoupled Embeddings Authors: Ningya Feng; Junwei Pan; Jialong Wu; Baixu Chen; Ximei Wang; QianLi; Xian Hu; Jie Jiang; Mingsheng 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: Recommender System; User Interest Modeling; audio; language; and other modalities
1065	Long-horizon Visual Instruction Generation with Logic and Attribute Self-reflection Authors: Yucheng Suo; Fan Ma; Kaixin Shen; Linchao Zhu; 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: text to image generation; visual instruction generation; audio; language; and other modalities
1066	LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Authors: Di Wu; Hongwei Wang; Wenhao Yu; Yuwei Zhang; Kai-Wei Chang; Dong 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: long-term memory; retrieval-augmented generation; audio; language; and other modalities
1067	LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization Authors: Guanzheng Chen; Xin Li; Michael Shieh; Lidong Bing 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 LLMs and Alignment; Large Language Models; Preference Optimization; Self-Evolution of LLMs; audio; language; and other modalities
1068	MELODI: Exploring Memory Compression for Long Contexts Authors: Yinpeng Chen; DeLesley Hutchins; Aren Jansen; Andrey Zhmoginov; David Racz; Jesper Sparre Andersen 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; Compression; Long Context; audio; language; and other modalities
1069	MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction Authors: Jing Yang; Minyue Jiang; Sen Yang; Xiao Tan; Yingying Li; Errui Ding; Jingdong Wang; Hanli 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: audio; language; and other modalities
1070	MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models Authors: Ziyu Liu; Yuhang Zang; Xiaoyi Dong; Pan Zhang; Yuhang Cao; Haodong Duan; Conghui He; Yuanjun Xiong; Dahua Lin; Jiaqi 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 Vision Language Models; audio; language; and other modalities
1071	MM-EMBED: UNIVERSAL MULTIMODAL RETRIEVAL WITH MULTIMODAL LLMS Authors: Sheng-Chieh Lin; Chankyu Lee; Mohammad Shoeybi; Jimmy Lin; Bryan Catanzaro; Wei Ping 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 model; retriever; LLM; audio; language; and other modalities
1072	MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? Authors: YiFan Zhang; Huanyu Zhang; Haochen Tian; Chaoyou Fu; Shuangqing Zhang; Junfei Wu; Feng Li; Kun Wang; Qingsong Wen; Zhang Zhang; Liang Wang; Rong 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: multimodal Large Language Models; benchmark; high-resolution images; real-world scenarios; audio; language; and other modalities
1073	MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines Authors: Dongzhi Jiang; Renrui Zhang; Ziyu Guo; Yanmin Wu; jiayi lei; Pengshuo Qiu; Pan Lu; Zehui Chen; Guanglu Song; Peng Gao; Yu Liu; Chunyuan Li; Hongsheng 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 Multimodal Model; AI Search Engine; Benchmark; audio; language; and other modalities
1074	MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses Authors: Zonglin Yang; Wanhao Liu; Ben Gao; Tong Xie; Yuqiang Li; Wanli Ouyang; Soujanya Poria; Erik Cambria; Dongzhan 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: scientific discovery; audio; language; and other modalities
1075	MP-Mat: A 3D-and-Instance-Aware Human Matting and Editing Framework with Multiplane Representation Authors: Siyi Jiao; Wenzheng Zeng; Yerong Li; Huayu Zhang; Changxin Gao; Nong Sang; 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: image matting; image editing; audio; language; and other modalities
1076	MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow Authors: Hanzhuo Huang; Yuan Liu; Ge Zheng; Jiepeng Wang; Zhiyang Dou; Sibei 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: 4D Generation; Dynamic 3D Gaussian Splatting; Dynamic Reconstruction; Diffusion Models; audio; language; and other modalities
1077	Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning Authors: Chongjie Si; Xuehui Wang; Xue Yang; Zhengqin Xu; Qingyun Li; Jifeng Dai; Yu Qiao; Xiaokang Yang; Wei 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: parameter efficient fine-tuning; audio; language; and other modalities
1078	MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations Authors: Hongyu Ke; Jack Morris; Kentaro Oguchi; Xiaofei Cao; Yongkang Liu; Haoxin Wang; Yi 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: BEV; Bird’s Eye View; State Space Model; 3D Computer Vision; audio; language; and other modalities
1079	MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer Authors: Yuancheng Wang; Haoyue Zhan; Liwei Liu; Ruihong Zeng; Haotian Guo; Jiachen Zheng; Qiang Zhang; Xueyao Zhang; Shunsi Zhang; 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: text-to-speech synthesis; masked generative models; codec language models; voice cloning; audio; language; and other modalities
1080	Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos Authors: Yufan Zhou; Zhaobo Qi; Lingshuai Lin; Junqi Jing; Tingting Chai; Beichen Zhang; Shuhui Wang; Weigang 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: procedure planning; diffusion; U-Net; temporal logic interpolation; action prediction; mask; audio; language; and other modalities
1081	Meta-Continual Learning of Neural Fields Authors: Seungyoon Woo; Junhyeog Yun; Gunhee 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: Meta-Learning; Continual Learning; 3D Vision; Neural Radiance Fields; audio; language; and other modalities
1082	MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis Authors: Jun-Yan He; Zhi-Qi Cheng; Chenyang Li; Jingdong Sun; Qi He; Wangmeng Xiang; Hanyuan Chen; Jin-Peng Lan; Xianhui Lin; kang zhu; Bin Luo; Yifeng Geng; Xuansong Xie; Alexander G Haup… Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: MetaDesigner; audio; language; and other modalities
1083	MetaMetrics: Calibrating Metrics for Generation Tasks Using Human Preferences Authors: Genta Indra Winata; David Anugraha; Lucky Susanto; Garry Kuwanto; Derry Tanti Wijaya Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: metrics; human preferences; calibrating; generation; audio; language; and other modalities
1084	MindSearch: Mimicking Human Minds Elicits Deep AI Searcher Authors: Zehui Chen; Kuikun Liu; Qiuchen Wang; Jiangning Liu; Wenwei Zhang; Kai Chen; 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: language model; search engine; multi-agent system; audio; language; and other modalities
1085	Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment Authors: Pritam Sarkar; Sayna Ebrahimi; Ali Etemad; Ahmad Beirami; Sercan O Arik; Tomas Pfister 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; Object Hallucination; Vision-language Models; audio; language; and other modalities
1086	Mixture Compressor for Mixture-of-Experts LLMs Gains More Authors: Wei Huang; Yue Liao; Jianhui Liu; Ruifei He; Haoru Tan; Shiming Zhang; Hongsheng Li; Si Liu; 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: Mixture-of-Expert; LLM; Quantization; Pruning; audio; language; and other modalities
1087	MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors Authors: Qingming LIU; Yuan Liu; Jiepeng Wang; Xianqiang Lyu; Peng Wang; Wenping Wang; 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: 3D Gaussian Splatting; Dynamic Novel-view Synthesis; Neural Rendering; audio; language; and other modalities
1088	Modality-Specialized Synergizers for Interleaved Vision-Language Generalists Authors: Zhiyang Xu; Minqian Liu; Ying Shen; Joy Rimchala; Jiaxin Zhang; Qifan Wang; Yu Cheng; Lifu 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: vision-language generation; interleaved vision-language instruction tuning; audio; language; and other modalities
1089	Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs Authors: Qi Wu; Yubo Zhao; Yifan Wang; Xinhang Liu; 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: 3D human motion; multimodal LLM; motion generation; conversational AI; audio; language; and other modalities
1090	MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer Authors: Yilin Wang; chuan guo; Yuxuan Mu; Muhammad Gohar Javed; Xinxin Zuo; Juwei Lu; Hai Jiang; Li 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: motion synthesis; generative masked modelling; vector quantization; single instance learning; audio; language; and other modalities
1091	MrT5: Dynamic Token Merging for Efficient Byte-level Language Models Authors: Julie Kallini; Shikhar Murty; Christopher D Manning; Christopher Potts; Róbert Csordás 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; ByT5; T5; tokenization; byte-level language models; character-level language models; audio; language; and other modalities
1092	Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM Authors: Zheng Wei Lim; Nitish Gupta; Honglin Yu; Trevor Cohn Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: translation; low-resource; large language model; audio; language; and other modalities
1093	Multi-Perspective Data Augmentation for Few-shot Object Detection Authors: Anh Khoa Nguyen Vu; Truong Quoc Truong; Vinh-Tiep Nguyen; Thanh Duc Ngo; Thanh-Toan Do; Tam V. Nguyen 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 object detection; controllable diffusion; data augmentation; audio; language; and other modalities
1094	Multi-Task Dense Predictions via Unleashing the Power of Diffusion Authors: Yuqi Yang; Peng-Tao Jiang; Qibin Hou; Hao Zhang; Jinwei Chen; Bo 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: Diffusion model; Multi-task learning; Dense prediction; Joint denoising; Cross-task encoding; audio; language; and other modalities
1095	Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap Authors: Christopher Liao; Christian So; Theodoros Tsiligkaridis; Brian Kulis 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; Domain Generalization; Multimodal learning; audio; language; and other modalities
1096	Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning Authors: Yichi Zhang; Zhuo Chen; Lingbing Guo; yajing Xu; Binbin Hu; Ziqi Liu; Wen Zhang; Huajun 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-modal Information Fusion; Knowledge Graph; Multi-modal Entity Representation; Mixture-of-Experts; audio; language; and other modalities
1097	NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative Authors: Asmar Nadeem; Faegheh Sardari; Robert Dawes; Syed Sameed Husain; Adrian Hilton; Armin Mustafa 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 Captioning; Video Narrative; Video Storytelling; audio; language; and other modalities
1098	Natural Language Inference Improves Compositionality in Vision-Language Models Authors: Paola Cascante-Bonilla; Yu Hou; Yang Trista Cao; Hal Daumé III; Rachel Rudinger 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 evaluation; image to text generation; natural language inference; sentence decomposition; large language models; visual question answering; quest…
1099	NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics Authors: David Robinson; Marius Miron; Masato Hagiwara; Olivier Pietquin 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-language foundation models; multimodal large language models (llms); bioacoustics; animal vocalizations; zero-shot learning; in-context learning; audio;…
1100	NeRAF: 3D Scene Infused Neural Radiance and Acoustic Fields Authors: Amandine Brunetto; Sascha Hornauer; Fabien Moutarde 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; Neural Fields; Implicit Representations; Novel-view Acoustic Synthesis; Multimodal learning; audio; language; and other modalities
1101	Neural Eulerian Scene Flow Fields Authors: Kyle Vedder; Neehar Peri; Ishan Khatri; Siyi Li; Eric Eaton; Mehmet Kemal Kocamaz; Yue Wang; Zhiding Yu; Deva Ramanan; Joachim Pehserl 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 Flow; Neural Prior; Ordinary Differential Equation; Reconstruction; audio; language; and other modalities
1102	Neural Fluid Simulation on Geometric Surfaces Authors: Haoxiang Wang; Tao Yu; Hui Qiao; Qionghai 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: Fluid simulation; Implicit Neural Representation; Exterior Calculus; audio; language; and other modalities
1103	Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction Authors: Zilin Fang; David Hsu; 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: human trajectory prediction; interaction modeling; audio; language; and other modalities
1104	Neuron based Personality Trait Induction in Large Language Models Authors: Jia Deng; Tianyi Tang; Yanbin Yin; Wenhao yang; Xin Zhao; Ji-Rong 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: Neuron; Personality; Large Language models; audio; language; and other modalities
1105	Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning Authors: Yu Fu; Zefan Cai; Abedelkadir Asi; Wayne Xiong; Yue Dong; Wen 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: Key-Value cache; Contextual reasoning; Efficiency inference; Large-Lauguage Model; audio; language; and other modalities
1106	OMG: Opacity Matters in Material Modeling with Gaussian Splatting Authors: Silong Yong; Venkata Nagarjun Pudureddiyur Manivannan; Bernhard Kerbl; Zifu Wan; Simon Stepputtis; Katia P. Sycara; Yaqi 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: 3D Gaussian Splatting; Neural Rendering; Inverse Rendering; Visual Computing; audio; language; and other modalities
1107	OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer Authors: Jinyang Li; En Yu; Sijia Chen; Wenbing Tao 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; Multiple-Object Tracking; Multimodal; Transformer; End-to-End; audio; language; and other modalities
1108	Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy Authors: Mingyang Zhao; Gaofeng Meng; Dong-ming 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: Unsupervised Deformation; Neural Implicit Representations; Correntropy; Locally Linear Reconstruction; audio; language; and other modalities
1109	OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces Authors: Zehan Wang; Ziang Zhang; Minjie Hong; Hang Zhang; Luping Liu; Rongjie Huang; Xize Cheng; Shengpeng Ji; Tao Jin; 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: multimodal representations; audio; language; and other modalities
1110	OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision Authors: Cong Wei; Zheyang Xiong; Weiming Ren; Xeron Du; Ge Zhang; 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: Image Editing; Diffusion Models; audio; language; and other modalities
1111	OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup Authors: Xize Cheng; Siqi Zheng; Zehan Wang; Minghui Fang; Ziang Zhang; Rongjie Huang; Shengpeng Ji; Jialong Zuo; 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; composed query; negative query; audio; language; and other modalities
1112	On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning Authors: Yunlu Yan; Chun-Mei Feng; Wangmeng Zuo; Salman Khan; Yong Liu; 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: federated learning; language-driven representation learning; data heterogeneity; audio; language; and other modalities
1113	Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation Authors: Anqi Li; Feng Li; Yuxi Liu; Runmin Cong; Yao Zhao; Huihui 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: image compression; vqgan; generative compression model; multi-grained representation; audio; language; and other modalities
1114	One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning Authors: Wenxi Lv; Qinliang Su; Wenchao 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: Anomaly detection; few-shot; vision-language model; audio; language; and other modalities
1115	Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images Authors: In-Hwan Jin; Haesoo Choo; Seong-Hun Jeong; Park Heemoon; Junghwan Kim; Oh-joon Kwon; 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: Dynamic Scene Video; 4D Gaussian; audio; language; and other modalities
1116	Order-aware Interactive Segmentation Authors: Bin Wang; Anwesa Choudhuri; Meng Zheng; Zhongpai Gao; Benjamin Planche; Andong Deng; Qin Liu; Terrence Chen; Ulas Bagci; Ziyan 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: Interactive Segmentation; Image Segmentation; audio; language; and other modalities
1117	PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations Authors: Dhananjaya Jayasundara; Heng Zhao; Demetrio Labate; 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: Prolate Spheroidal Wave Functions; Implicit Neural Representations; MLPs; audio; language; and other modalities
1118	Personalized Representation from Personalized Generation Authors: Shobhita Sundaram; Julia Chae; Yonglong Tian; Sara Beery; Phillip Isola Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Synthetic data; personalization; diffusion models; data augmentation; representation learning; audio; language; and other modalities
1119	Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception Authors: Zihan Ding; Jiahui Fu; Si Liu; Hongyu Li; Siheng Chen; Hongsheng Li; Shifeng Zhang; Xu 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: Point Cluster; Collaborative Perception; audio; language; and other modalities
1120	Point-SAM: Promptable 3D Segmentation Model for Point Clouds Authors: Yuchen Zhou; Jiayuan Gu; Tung Yen Chiang; Fanbo Xiang; Hao 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: 3D vision; promptable segmentation; point cloud segmentation; audio; language; and other modalities
1121	Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration Authors: Guy Ohayon; Tomer Michaeli; Michael Elad 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; blind face image restoration; inverse problems; perception-distortion tradeoff; image processing; computer vision; machine learning; generat…
1122	Predicate Hierarchies Improve Few-Shot State Classification Authors: Emily Jin; Joy Hsu; 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: few-shot state classification; predicate hierarchies; audio; language; and other modalities
1123	Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance Authors: Yaxi Lu; Shenzhi Yang; Cheng Qian; Guirong Chen; Qinyu Luo; Yesai Wu; Huadong Wang; Xin Cong; Zhong Zhang; Yankai Lin; Weiwen Liu; Yasheng Wang; Zhiyuan Liu; Fangming Liu; Maosong… 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-Centered NLP; Dialogue and Interactive Systems; Resources and Evaluation; audio; language; and other modalities
1124	Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection Authors: Yuguang Yang; Tongfei Chen; Haoyu Huang; Linlin Yang; Chunyu Xie; Dawei Leng; Xianbin Cao; 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: Vision-language model; zero-shot enhancement; Structural Representation; audio; language; and other modalities
1125	Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models Authors: Orion Weller; Benjamin Van Durme; Dawn Lawrie; Ashwin Paranjape; Yuhao Zhang; Jack Hessel 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; instructions; search; prompts; audio; language; and other modalities
1126	Provence: efficient and robust context pruning for retrieval-augmented generation Authors: Nadezhda Chirkova; Thibault Formal; Vassilina Nikoulina; 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: retrieval-augmented generation; context pruning; question answering; audio; language; and other modalities
1127	Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization Authors: Wei Lin; Jia Wan; 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: crowd counting; audio; language; and other modalities
1128	PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify Authors: Zhengqing Wang; Jiacheng Chen; Yasutaka Furukawa 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 fracture assembly; audio; language; and other modalities
1129	PvNeXt: Rethinking Network Design and Temporal Motion for Point Cloud Video Recognition Authors: Jie Wang; Tingfa Xu; Lihe Ding; Xinjie Zhang; Long Bai; Jianan 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: point cloud video; 3d vision; audio; language; and other modalities
1130	R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection Authors: Zhiqiang Wu; Yingjie Liu; Hanlin Dong; Xuan Tang; Jian Yang; Bo Jin; Mingsong Chen; Xian 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: Relaxation; Rotation; Equivariance; audio; language; and other modalities
1131	RESfM: Robust Deep Equivariant Structure from Motion Authors: Fadi Khatib; Yoni Kasten; Dror Moran; Meirav Galun; Ronen Basri 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; Outlier Removal; Structure from Motion; Camera Pose Estimation; audio; language; and other modalities
1132	RFMamba: Frequency-Aware State Space Model for RF-Based Human-Centric Perception Authors: Rui Zhang; Ruixu Geng; Yadong Li; Ruiyuan Song; Hanqin Gong; Dongheng Zhang; Yang Hu; Yan 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: Human-centric perception; State space model; Radio frequency; audio; language; and other modalities
1133	RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction Authors: Peng Liu; Dongyang Dai; Zhiyong 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: Rectified Flow; Audio Waveform Reconstruction; Multi-band audio generation，Real-time diffusion Vocoder; audio; language; and other modalities
1134	RandLoRA: Full rank parameter-efficient fine-tuning of large models Authors: Paul Albert; Frederic Z. Zhang; Hemanth Saratchandran; Cristian Rodriguez-Opazo; Anton van den Hengel; Ehsan Abbasnejad Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: parameter-efficient; finetuning; CLIP; vision-language; full rank; audio; language; and other modalities
1135	Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising Authors: Zhengwei Yin; Hongjun Wang; Guixu Lin; Weihang Ran; Yinqiang 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: Image Denoising; Low-Level Vision; Generalization Problem; audio; language; and other modalities
1136	Re-Aligning Language to Visual Objects with an Agentic Workflow Authors: Yuming Chen; Jiangyan Feng; Haodong Zhang; Lijun GONG; Feng Zhu; Rui Zhao; Qibin Hou; Ming-Ming Cheng; Yibing 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: agentic workflow; language-based object detection; audio; language; and other modalities
1137	Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation Authors: Zhi Cen; Huaijin Pi; Sida Peng; Qing Shuai; Yujun Shen; Hujun Bao; Xiaowei Zhou; Ruizhen 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: Human Interaction Generation; Reactive Motion Generation; audio; language; and other modalities
1138	Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment Authors: Yizhi Song; Liu He; Zhifei Zhang; Soo Ye Kim; He Zhang; Wei Xiong; Zhe Lin; Brian L. Price; Scott Cohen; Jianming Zhang; Daniel Aliaga 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; inpainting; generative artifacts; image editing; image synthesis; artifacts refinement; audio; language; and other modalities
1139	Reflective Gaussian Splatting Authors: Yuxuan Yao; Zixuan Zeng; Chun Gu; Xiatian Zhu; 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: Gaussain-Splatting; Physically based Rendering; Deferred-Rendering; Inter-Reflection; audio; language; and other modalities
1140	Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Authors: Sangmin Bae; Adam Fisch; Hrayr Harutyunyan; Ziwei Ji; Seungyeon Kim; Tal Schuster 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; Parameter Sharing; Relaxed Recursive Transformer; Continuous Depth-wise Batching; Early-Exiting; audio; language; and other modalities
1141	RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph Authors: Siru Ouyang; Wenhao Yu; Kaixin Ma; Zilin Xiao; Zhihan Zhang; Mengzhao Jia; Jiawei Han; Hongming Zhang; Dong 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: AI Software Engineering; Large Language Models; Code Intelligence; Graph Structure; audio; language; and other modalities
1142	Reveal Object in Lensless Photography via Region Gaze and Amplification Authors: Yin Xiangjun; Huihui 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: Lensless Imaging; Computational Imaging; Region Gaze; Region Amplifier; Concealed Object Detection; audio; language; and other modalities
1143	Revisit the Open Nature of Open Vocabulary Semantic Segmentation Authors: Qiming Huang; Han Hu; Jianbo Jiao 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 segmentation; Evaluation; audio; language; and other modalities
1144	RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection Authors: Jingtong Yue; Zhiwei Lin; Xin Lin; Xiaoyu Zhou; Xiangtai Li; Lu Qi; Yongtao Wang; Ming-Hsuan 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 Vision， Radar Camera 3D Object Detection; audio; language; and other modalities
1145	Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image Authors: Kennard Chan; Fayao Liu; Guosheng Lin; Chuan-Sheng Foo; Weisi 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: Human Digitalization; 3D Human Avatar; Pixel-aligned Implicit Models; Latent Diffusion Models; Occlusion; Robustness; audio; language; and other modalities
1146	RocketEval: Efficient automated LLM evaluation via grading checklist Authors: Tianjun Wei; Wei Wen; Ruizhi Qiao; Xing Sun; Jianghong 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: automated evaluation; large language models; natural language processing; audio; language; and other modalities
1147	Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models Authors: Qiong Wu; Zhaoxi Ke; Yiyi Zhou; Xiaoshuai Sun; Rongrong 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 large language model; dynamic routing; audio; language; and other modalities
1148	SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement Authors: Yuqi Lin; Hengjia Li; Wenqi Shao; Zheng Yang; Jun Zhao; Xiaofei He; Ping Luo; Kaipeng 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: Mask Refinement; Segment Anything Model; audio; language; and other modalities
1149	SBSC: Step-by-Step Coding for Improving Mathematical Olympiad Performance Authors: Kunal Singh; Ankan Biswas; Sayandeep Bhowmick; Pradeep Moturi; Siva Kishore Gollapalli Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: math AI; LLM math reasoning; audio; language; and other modalities
1150	SCBench: A KV Cache-Centric Analysis of Long-Context Methods Authors: YUCHENG LI; Huiqiang Jiang; Qianhui Wu; Xufang Luo; Surin Ahn; Chengruidong Zhang; Amir H. Abdi; Dongsheng Li; Jianfeng Gao; Yuqing Yang; 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: Long-context; Benchmark; KV Cache Reuse; Long-context Methods; Shared Context; audio; language; and other modalities
1151	SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation Authors: Song Duong; Florian Le Bronnec; Alexandre Allauzen; Vincent Guigue; Alberto Lumbreras; Laure Soulier; Patrick Gallinari Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: faithfulness; hallucination; conditional text generation; natural language processing; large language models; audio; language; and other modalities
1152	SFS: Smarter Code Space Search improves LLM Inference Scaling Authors: Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei 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: LLM; code generation; optimization; search; agent; inference scaling; black-box optimization; exploration-exploitation; tree search; Monte Carlo Tree Search (M…
1153	SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model Authors: Yue Zhang; Zhiyang Xu; Ying Shen; Parisa Kordjamshidi; Lifu 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: Situated Understanding in 3D Scen; 3D VL; LLM; audio; language; and other modalities
1154	SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding Authors: Jian Chen; Ruiyi Zhang; Yufan Zhou; Tong Yu; Franck Dernoncourt; Jiuxiang Gu; Ryan A. Rossi; Changyou Chen; Tong 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: Large Multimodal Models; audio; language; and other modalities
1155	SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration Authors: Heming Xia; Yongqi Li; Jun Zhang; Cunxiao Du; Wenjie 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: Speculative Decoding; LLM Inference Acceleration; Efficient NLP; audio; language; and other modalities
1156	Scale-aware Recognition in Satellite Images under Resource Constraints Authors: Shreelekha Revankar; Cheng Perng Phoo; Utkarsh Mall; Bharath Hariharan; Kavita Bala 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 Imagery; Resolution; audio; language; and other modalities
1157	SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents Authors: Zhuoshi Pan; Qianhui Wu; Huiqiang Jiang; Xufang Luo; Hao Cheng; Dongsheng Li; Yuqing Yang; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; 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: memory management; conversational agent; RAG; text segmentation; prompt compression; audio; language; and other modalities
1158	See What You Are Told: Visual Attention Sink in Large Multimodal Models Authors: Seil Kang; Jinyeong Kim; Junhyeok Kim; Seong Jae 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: Large multimodal models; Visual attention sink; Visual attention redistribution; audio; language; and other modalities
1159	Segment Any 3D Object with Language Authors: Seungjun Lee; Yuyang Zhao; 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: Open-set; 3D Instance Segmentation; Multimodal; audio; language; and other modalities
1160	Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement Authors: Chenxu Wu; Qingpeng Kong; 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: Diffusion based models; Self-supervised MRI denoising; audio; language; and other modalities
1161	Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining Authors: Wonhyeok Choi; Kyumin Hwang; Wei Peng; Minwoo Choi; Sunghoon Im 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-supervised Monocular Depth Estimation; Deep Metric Learning; Knowledge Distillation; audio; language; and other modalities
1162	Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors Authors: Weixuan Wang; JINGYUAN YANG; Wei 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: Large Language Models; Activation Steering; Dynamic Steering Vector; audio; language; and other modalities
1163	Semi-Parametric Retrieval via Binary Bag-of-Tokens Index Authors: Jiawei Zhou; Li Dong; Furu Wei; Lei 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: information retrieval; efficient retrieval; retrieval-agumented applications; RAG; audio; language; and other modalities
1164	Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Authors: Xiang Li; Pengfei Li; Yupeng Zheng; Wei Sun; Yan Wang; yilun 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: Autonomous Driving; Occupancy; World Model; audio; language; and other modalities
1165	Sensor-Invariant Tactile Representation Authors: Harsh Gupta; Yuchen Mo; Shengmiao Jin; Wenzhen 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: Tactile sensing; representation learning; audio; language; and other modalities
1166	SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training Authors: Nie Lin; Takehiko Ohkawa; Yifei Huang; Mingfang Zhang; Minjie Cai; Ming Li; Ryosuke Furuta; Yoichi Sato 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 Pose Estimation; Contrastive Learning; Pre-Training of Large-Scale Images; audio; language; and other modalities
1167	SiReRAG: Indexing Similar and Related Information for Multihop Reasoning Authors: Nan Zhang; Prafulla Kumar Choubey; Alexander Fabbri; Gabriel Bernadett-Shapiro; Rui Zhang; Prasenjit Mitra; Caiming Xiong; 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: Retrieval-augmented generation (RAG); RAG indexing; Multi-hop question answering; audio; language; and other modalities
1168	Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation Authors: Mufei Li; Siqi Miao; Pan 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: Knowledge Graphs; Large Language Models; Retrieval-Augmented Generation; Retrieval; audio; language; and other modalities
1169	SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Authors: Donglei Yu; Yang Zhao; Jie Zhu; Yangyifan Xu; Yu Zhou; Chengqing Zong Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: simultaneous machine translation; simultaneous preference optimization; human preferences; audio; language; and other modalities
1170	Sketch2Diagram: Generating Vector Diagrams from Hand-Drawn Sketches Authors: Itsumi Saito; Haruto Yoshida; Keisuke Sakaguchi 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; diagram; vector graphics; audio; language; and other modalities
1171	Small Models are LLM Knowledge Triggers for Medical Tabular Prediction Authors: Jiahuan Yan; Jintai Chen; Chaowen Hu; Bo Zheng; Yaojun Hu; Jimeng Sun; Jian 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: tabular data; prompt learning; classification; audio; language; and other modalities
1172	SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches Authors: Hiroyuki Deguchi; Go Kamoda; Yusuke Matsushita; Chihiro Taguchi; Kohei Suenaga; Masaki Waga; Sho Yokoi 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; full-text search; word embeddings; inverted index; pattern match; audio; language; and other modalities
1173	Sort-free Gaussian Splatting via Weighted Sum Rendering Authors: Qiqi Hou; Randall Rauwendaal; Zifeng Li; Hoang Le; Farzad Farhadzadeh; Fatih Porikli; Alexei Bourd; Amir Said Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Sort-free; Gaussian Splatting; Weighted Sum Rendering; audio; language; and other modalities
1174	SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation Authors: Koichi Saito; Dongjun Kim; Takashi Shibuya; Chieh-Hsin Lai; Zhi Zhong; Yuhta Takida; 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: text-to-sound generation; distillation models; text-to-audio diffusion models; generative models for sound; audio; language; and other modalities
1175	Sparse Learning for State Space Models on Mobile Authors: Xuan Shen; Hangyu Zheng; Yifan Gong; Zhenglun Kong; Changdi Yang; Zheng Zhan; Yushu Wu; Xue Lin; Yanzhi Wang; Pu Zhao; Wei Niu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Mamba; Pruning; Mobile; audio; language; and other modalities
1176	SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction Authors: Jihwan Yoon; Sangbeom Han; Jaeseok Oh; Minsik 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 Gaussian splatting; Dynamic scene reconstruction; Novel-view synthesis for dynamic scenes; audio; language; and other modalities
1177	Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports Authors: 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: Trajectory Modeling; Trajectory Generation; Trajectory Prediction; Trajectory Imputation; audio; language; and other modalities
1178	Stable Segment Anything Model Authors: Qi Fan; Xin Tao; Lei Ke; Mingqiao Ye; Di ZHANG; Pengfei Wan; 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: Segment Anything Model; Interactive Segmentation; Segmentation Stability; Deformable Feature Sampling; audio; language; and other modalities
1179	State Space Model Meets Transformer: A New Paradigm for 3D Object Detection Authors: Chuxin Wang; Wenfei Yang; Xiang Liu; 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: Point Cloud; 3D Object Detection; State Space Model; audio; language; and other modalities
1180	Streaming Video Question-Answering with In-context Video KV-Cache Retrieval Authors: Shangzhe Di; Zhelun Yu; Guanghao Zhang; Haoyuan Li; TaoZhong; Hao Cheng; Bolin Li; Wanggui He; Fangxun Shu; Hao 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 Understanding; Multimodal Large Language Models; Streaming Video Question-answering; audio; language; and other modalities
1181	Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge Authors: Haomiao Xiong; Zongxin Yang; Jiazuo Yu; Yunzhi Zhuge; Lu Zhang; Jiawen Zhu; Huchuan 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: Streaming Video Understanding; Video MLLM; Hierarchical Memory System; audio; language; and other modalities
1182	StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization Authors: Zhuoqun Li; Xuanang Chen; Haiyang Yu; Hongyu Lin; Yaojie Lu; Qiaoyu Tang; Fei Huang; Xianpei Han; Le Sun; Yongbin 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: RAG; Structured Knowledge; audio; language; and other modalities
1183	SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars Authors: Jaeseong Lee; Taewoong Kang; Marcel Buehler; Min-Jung Kim; Sungwon Hwang; Junha Hyung; Hyojin Jang; Jaegul Choo 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 head avatars; rigging; inverse-graphics; audio; language; and other modalities
1184	Swift4D: Adaptive divide-and-conquer Gaussian Splatting for compact and efficient reconstruction of dynamic scene Authors: Jiahao Wu; Rui Peng; Zhiyan Wang; Lu Xiao; Luyang Tang; Jinbo Yan; Kaiqiang Xiong; 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: 3D Gaussian Splatting; Dynamic scene reconstruction.; audio; language; and other modalities
1185	Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Authors: Cristian Rodriguez-Opazo; Ehsan Abbasnejad; Damien Teney; Hamed Damirchi; Edison Marrese-Taylor; 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: CLIP; audio; language; and other modalities
1186	Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data Authors: Sreyan Ghosh; Sonal Kumar; Zhifeng Kong; Rafael Valle; Bryan Catanzaro; Dinesh Manocha 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 classification; synthetic data; data-efficient learning; audio; language; and other modalities
1187	T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning Authors: Nabarun Goswami; Hanqin Wang; Tatsuya Harada Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: ASR; TTS; Non-Autoregressive; Conformer; Multitask Learning; audio; language; and other modalities
1188	TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction Authors: Yunfei Liu; Lei Zhu; Lijian Lin; Ye Zhu; Ailing Zhang; Yu 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: Expression reconstruction; Hybrid parameters; audio; language; and other modalities
1189	TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation Authors: Mohan Xu; Kai Li; Guo Chen; 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: Speech separation; lightweight model; time-frequency domain; audio; language; and other modalities
1190	TRACE: Temporal Grounding Video LLM via Causal Event Modeling Authors: Yongxin Guo; Jingyu Liu; Mingda Li; Qingbin Liu; Xi Chen; Xiaoying 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: video large language model; video temporal grounding; audio; language; and other modalities
1191	TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation Authors: Juntong Shi; Minkai Xu; Harper Hua; Hengrui Zhang; Stefano Ermon; Jure Leskovec Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: Tabular Representative Learning; Generative Models; Diffusion Models; audio; language; and other modalities
1192	TeaserGen: Generating Teasers for Long Documentaries Authors: Weihan Xu; Paul Pu Liang; Haven Kim; Julian McAuley; Taylor Berg-Kirkpatrick; Hao-Wen 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: Teaser Generation; Multimodal Learning; Vision-Language Model; audio; language; and other modalities
1193	TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval Authors: Leqi Shen; Tianxiang Hao; Tao He; Sicheng Zhao; Yifeng Zhang; pengzhang liu; Yongjun Bao; Guiguang 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: Text-Video Retrieval; Efficient Fine-tuning; Temporal Redundancy; audio; language; and other modalities
1194	TexTailor: Customized Text-aligned Texturing via Effective Resampling Authors: Suin Lee; Daeshik 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: 3D texture synthesis; diffusion model; resampling; audio; language; and other modalities
1195	Text4Seg: Reimagining Image Segmentation as Text Generation Authors: Mengcheng Lan; Chaofeng Chen; Yue Zhou; Jiaxing Xu; Yiping Ke; Xinjiang Wang; Litong Feng; Wayne 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 large language model; Image segmentation; Referring expression segmentation; audio; language; and other modalities
1196	ThermalGaussian: Thermal 3D Gaussian Splatting Authors: Rongfeng Lu; Hangyu Chen; Zunjie Zhu; Yuhang Qin; Ming Lu; Le zhang; Chenggang Yan; anke 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: 3D reconstruction; Thermal fild reconstruction; 3D Computer Vision; Machine learning approaches; audio; language; and other modalities
1197	Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation Authors: Wenhui Tan; Boyuan Li; Chuhao Jin; Wenbing Huang; Xiting Wang; Ruihua 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: Human Reaction Generation; 3D Human Motion; Large Language Model; audio; language; and other modalities
1198	Time-to-Event Pretraining for 3D Medical Imaging Authors: Zepeng Frazier Huo; Jason Alan Fries; Alejandro Lozano; Jeya Maria Jose Valanarasu; Ethan Steinberg; Louis Blankemeier; Akshay S Chaudhari; Curtis Langlotz; Nigam Shah 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; medical imaging; Electronic Health Records; audio; language; and other modalities
1199	ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts Authors: Yuanchen Wu; Junlong Du; Ke Yan; Shouhong Ding; Xiaoqiang 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 Modeling; Knowledge Transfer; Vision Experts; audio; language; and other modalities
1200	ToolGen: Unified Tool Retrieval and Calling via Generation Authors: Renxi Wang; Xudong Han; Lei Ji; Shu Wang; Timothy Baldwin; Haonan 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: Agent; Tool Learning; Virtual Token; audio; language; and other modalities
1201	Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling Authors: Jingyun Xue; Hongfa Wang; Qi Tian; Yue Ma; Andong Wang; Zhiyuan Zhao; Shaobo Min; Wenzhe Zhao; Kaihao Zhang; Heung-Yeung Shum; Wei Liu; Mengyang LIU; Wenhan Luo Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: character image animation; video generation; diffusion model; audio; language; and other modalities
1202	Towards Unbiased Learning in Semi-Supervised Semantic Segmentation Authors: Rui Sun; Huayu Mai; Wangkai Li; 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: Semi-Supervised Semantic Segmentation; audio; language; and other modalities
1203	Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization Authors: Guangtao Lyu; Chenghao Xu; Jiexi Yan; Muli Yang; Cheng 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: Interpretable Human Motion Understanding; visualization and interpretation of motion representations; Human Motion representation learning; audio; language; an…
1204	Track-On: Transformer-based Online Point Tracking with Memory Authors: Görkay Aydemir; Xiongyi Cai; Weidi Xie; Fatma Guney 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 Tracking; Online Point Tracking; Tracking Any Point; audio; language; and other modalities
1205	Training-Free Dataset Pruning for Instance Segmentation Authors: Yalun Dai; Lingao Xiao; 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; instance segmentation; audio; language; and other modalities
1206	Training-free Camera Control for Video Generation Authors: Chen Hou; Zhibo 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 generation; camera control; training-free; audio; language; and other modalities
1207	UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition Authors: Xiao Lin; Yuge Huang; Jianqing Xu; Yuxi Mi; Shuigeng Zhou; Shouhong 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: face recognition; face image synthesis; diffusion model; audio; language; and other modalities
1208	UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate Authors: Julián Tachella; Mike Davies; Laurent Jacques 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-supervised learning; imaging inverse problems; audio; language; and other modalities
1209	UV-Attack: Physical-World Adversarial Attacks on Person Detection via Dynamic-NeRF-based UV Mapping Authors: Yanjie Li; Kaisheng Liang; Bin 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: Adversarial Attack; Person Detection; NeRF; UV-Mapping; audio; language; and other modalities
1210	Unbounded: A Generative Infinite Game of Character Life Simulation Authors: Jialu Li; Yuanzhen Li; Neal Wadhwa; Yael Pritch; David E. Jacobs; Michael Rubinstein; Mohit Bansal; Nataniel Ruiz 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; Interactive Image Generation; audio; language; and other modalities
1211	Uncertainty modeling for fine-tuned implicit functions Authors: Anna Susmelj; Mael Macuglia; Natasa Tagasovska; Reto Sutter; Sebastiano Caprara; Jean-Philippe Thiran; Ender Konukoglu Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: uncertainty; implicit functions; 3D reconstruction; occupancy networks; audio; language; and other modalities
1212	Understanding Long Videos with Multimodal Language Models Authors: Kanchana Ranasinghe; Xiang Li; Kumara Kahatapitiya; Michael S Ryoo 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; visual question answering; interpretability; audio; language; and other modalities
1213	Uni$^2$Det: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection Authors: Yubin Wang; Zhikang Zou; Xiaoqing Ye; Xiao Tan; Errui Ding; Cairong 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: Automatic Driving; 3D Object Detection; Multi-Dataset Training; audio; language; and other modalities
1214	UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation Authors: Xianwei Zhuang; Zhihong Zhu; Zhichang Wang; Xuxin Cheng; Yuexian 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: Chain-of-Thought; Structural Thought; Distillation; Unified Framework; audio; language; and other modalities
1215	UniRestore3D: A Scalable Framework For General Shape Restoration Authors: Yuang Wang; Yujian Zhang; Sida Peng; Xingyi He; Haoyu Guo; Yujun Shen; Hujun Bao; Xiaowei 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: Shape Restoration; 3D Reconstruction; Diffusion Model; audio; language; and other modalities
1216	UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation Authors: Alexander H. Liu; Sang-gil Lee; Chao-Han Huck Yang; Yuan Gong; Yu-Chiang Frank Wang; James R. Glass; Rafael Valle; 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: speech foundation model; generative pre-training; self-supervised learning; speech generation; speech tokenization; audio; language; and other modalities
1217	Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment Authors: Yankai Jiang; Wenhui Lei; Xiaofan Zhang; Shaoting 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: Medical Image Segmentation; Vision-Language Pre-Training; Zero-Shot Segmentation; audio; language; and other modalities
1218	Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning Authors: Chongjie Si; Zhiyi Shi; Shifan Zhang; Xiaokang Yang; Hanspeter Pfister; Wei 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: parameter efficient fine-tuning; low-rank adaptation; task-specific directions; audio; language; and other modalities
1219	Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model Authors: Yaxuan Huang; Xili Dai; Jianan Wang; Xianbiao Qi; Yixing Yuan; 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: layout reconstruction; holistic 3D representation; large 3D model.; audio; language; and other modalities
1220	Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only Authors: Jihan Yao; Wenxuan Ding; Shangbin Feng; Lucy Lu Wang; Yulia Tsvetkov Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: alignment; preference learning; reasoning; audio; language; and other modalities
1221	Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement Authors: Xueyao Zhang; Xiaohui Zhang; Kainan Peng; Zhenyu Tang; Vimal Manohar; Yingru Liu; Jeff Hwang; Dangna Li; Yuhao Wang; Julian Chan; Yuan Huang; Zhizheng Wu; Mingbo 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: controllable speech generation; speech disentanglement; voice conversion; accent conversion; text to speech; audio; language; and other modalities
1222	ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Authors: Tianchen Zhao; Tongcheng Fang; Haofeng Huang; Rui Wan; Widyadewi Soedarmadji; Enshu Liu; Shiyao Li; Zinan Lin; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; 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: video generation; low-bit quantization; diffusion model; audio; language; and other modalities
1223	ViSAGe: Video-to-Spatial Audio Generation Authors: Jaeyeon Kim; Heeseung Yun; Gunhee 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: Audio Generation; Audio-Visual Learning; Spatial Audio; audio; language; and other modalities
1224	Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision Authors: Orr Zohar; Xiaohan Wang; Yonatan Bitton; Idan Szpektor; 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: Video Understanding; Visual Instruction Tuning; Self-Training; Chain-of-thought reasoning; audio; language; and other modalities
1225	Vision-LSTM: xLSTM as Generic Vision Backbone Authors: Benedikt Alkin; Maximilian Beck; Korbinian Pöppel; Sepp Hochreiter; Johannes Brandstetter 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; xLSTM; image classification; semantic segmentation; transfer learning; ImageNet; audio; language; and other modalities
1226	Visual Agents as Fast and Slow Thinkers Authors: Guangyan Sun; Mingyu Jin; Zhenting Wang; Cheng-Long Wang; Siqi Ma; Qifan Wang; Tong Geng; Ying Nian Wu; Yongfeng Zhang; Dongfang 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; System2 Thinking; Language Agent; audio; language; and other modalities
1227	Visual-O1: Understanding Ambiguous Instructions via Multi-modal Multi-turn Chain-of-thoughts Reasoning Authors: Minheng Ni; YuTao Fan; Lei 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: Understanding ambiguous instructions; large multimodal model; chain-of-thoughts; multimodal; audio; language; and other modalities
1228	Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models Authors: Donghoon Kim; Minji Bae; 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: text-to-image; inversion; gradient free hard prompt inversion; language model guidance on latent diffusion model; audio; language; and other modalities
1229	W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models Authors: Shang 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: zero-shot NAS; gradient-free; lightweight language models; audio; language; and other modalities
1230	Watermark Anything With Localized Messages Authors: Tom Sander; Pierre Fernandez; Alain Oliviero Durmus; Teddy Furon; Matthijs Douze 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 Watermarking; Segmentation; audio; language; and other modalities
1231	WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling Authors: Shengpeng Ji; Ziyue Jiang; Wen Wang; Yifu Chen; Minghui Fang; Jialong Zuo; Qian Yang; Xize Cheng; Zehan Wang; Ruiqi Li; Ziang Zhang; Xiaoda Yang; Rongjie Huang; Yidi Jiang; Qian C… 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 representation; discrete codec; audio language model; audio; language; and other modalities
1232	Wayward Concepts In Multimodal Models Authors: Brandon Trabucco; Max A Gurinas; Kyle Doherty; Russ Salakhutdinov 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 Learning; audio; language; and other modalities
1233	Weakly Supervised Video Scene Graph Generation via Natural Language Supervision Authors: Kibum Kim; Kanghoon Yoon; Yeonjun In; Jaehyeong Jeon; Jinyoung Moon; Donghyun Kim; 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: Video Scene Understanding; Weakly Supervised Learning; Large Language Model; audio; language; and other modalities
1234	Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Authors: Peiran Xu; Yadong MU Affiliation: 官方页面未列出 Official area / track: applications to computer vision, audio, language, and other modalities Recognition: Poster/Regular Keywords: weakly supervised affordance grounding; foundation model; pseudo label; audio; language; and other modalities
1235	What Matters When Repurposing Diffusion Models for General Dense Perception Tasks? Authors: Guangkai Xu; Yongtao Ge; Mingyu Liu; Chengxiang Fan; Kangyang Xie; Zhiyue Zhao; Hao Chen; Chunhua 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: Transfer Learning; Diffusion Models; Visual Perception; audio; language; and other modalities
1236	Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression Authors: Sha Guo; Jing Chen; Zixuan Hu; Zhuo Chen; Wenhan Yang; Yu Lin; Xing Jiang; LINGYU DUAN 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 Coding for Machine; Image Compression; Multi-task Learning; Causal Discovery; audio; language; and other modalities
1237	X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention Authors: XIAOCHEN ZHAO; Hongyi Xu; Guoxian Song; You Xie; Chenxu Zhang; Xiu Li; Linjie Luo; Jinli Suo; Yebin 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: Portrait Animation; Head Avatar; Conditional Video Generation; audio; language; and other modalities
1238	YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary Authors: Hao-Tang Tsui; Chien-Yao Wang; Hong-Yuan Mark 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: Real-time Object Detection; Object Detection; Dictionary Learning; Retrieval-Augmented Generation; Representation Learning; audio; language; and other modaliti…
1239	ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models Authors: Seonghwan Park; Jaehyeon Jeong; Yongjun Kim; Jaeho Lee; Namhoon 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: vision-language models; prompt-tuning; black-box optimization; zeroth-order optimization; audio; language; and other modalities
1240	econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians Authors: Can Zhang; 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: 3D Scene Understanding; Gaussian Splatting; Open-Vocabulary 3D Semantic; audio; language; and other modalities
1241	Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories Authors: Vasiliki Tassopoulou; Haochang Shou; Christos Davatzikos Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Deep Kernel Regression; Personalization; Posterior Correction; Longitudinal Biomarker Prediction
1242	Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity Authors: Yizhuo Lu; Changde Du; Chong Wang; Xuanliu Zhu; Liuyun Jiang; Xujin Li; Huiguang He Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Video reconstruction; Brain-computer Interface (BCI).
1243	BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation Authors: Zhengrui Guo; Fangxu Zhou; Wei Wu; Qichen Sun; Lishuang Feng; Jinzhuo Wang; Hao Chen Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Computational Neuroscience; Neural Dynamics Modeling; Behavior as Guidance; Privileged Knowledge Distillation
1244	BRAID: Input-driven Nonlinear Dynamical Modeling of Neural-Behavioral Data Authors: Parsa Vahidi; Omid G. Sani; Maryam Shanechi Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Deep learning; Dynamic modeling; Sensory stimuli; RNN; Intrinsic; Behavior
1245	Beyond single neurons: population response geometry in digital twins of mouse visual cortex Authors: Dario Liscai; Emanuele Luconi; Alessandro Marin Vargas; Alessandro Sanzeni Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neuroscience; representation learning; population responses; cortical hierarchy; computational biology; visual perception
1246	Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers Authors: Andrew Luo; Jacob Yeung; Rushikesh Zawar; Shaurya Rajat Dewan; Margaret Marie Henderson; Leila Wehbe; Michael J. Tarr Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: fMRI; visual cortex; neuroscience; cognitive science; brain; vision transformer; semantic selectivity
1247	BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation Authors: Diego Garcia Cerdas; Christina Sartzetaki; Magnus Petersen; Gemma Roig; Pascal Mettes; Iris Groen Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: brain; selectivity; visual cortex; fMRI; manipulation; variation; diffusion; neuroscience
1248	BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications Authors: Yangxuan Zhou; Sha Zhao; Jiquan Wang; Haiteng Jiang; Shijian Li; Tao Li; Gang Pan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Continual Learning; EEG Applications
1249	CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding Authors: Jiquan Wang; Sha Zhao; Zhiling Luo; Yangxuan Zhou; Haiteng Jiang; Shijian Li; Tao Li; Gang Pan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Foundation Model; EEG; Criss-Cross Transformer; Downstream BCI tasks
1250	Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain) Authors: SUBBA REDDY OOTA; Akshett Rai Jindal; Ishani Mondal; Khushbu Pahwa; Satya Sai Srinath Namburi GNVV; Manish Shrivastava; Maneesh Kumar Singh; Bapi Raju Surampudi; Manish Gupta Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: brain encoding; fMRI; visual processing; multimodal instruction-tuned models; language decoder; LLMs; MLLMs
1251	Credit-based self organizing maps: training deep topographic networks with minimal performance degradation Authors: Amirozhan Dehghani; Xinyu Qian; Asa Farahani; Pouya Bashivan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Computer vision; Neuroscience; Convolutional Networks; topographical organization; self-organizing maps; functional organization
1252	DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks Authors: Wei Liu; Li Yang; Mingxuan Zhao; Shuxun Wang; Jin Gao; Wenjuan Li; Bing Li; Weiming Hu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Deep Temporal-Aligned Gradient Enhancement; Spatio-Temporal Deep Supervision; Optimization Imbalance.
1253	Differentiable Optimization of Similarity Scores Between Models and Brains Authors: Nathan Cloos; Moufan Li; Markus Siegel; Scott L Brincat; Earl K Miller; Guangyu Robert Yang; Christopher J Cueva Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: similarity measures; representational alignment; procrustes distance; centered kernel alignment; linear regression
1254	Discriminating image representations with principal distortions Authors: Jenelle Feather; David Lipshutz; Sarah E Harvey; Alex H Williams; Eero P Simoncelli Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: representational similarity metric; Fisher information; information geometry; perception
1255	Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables Authors: Joshua Huang Wu; Hari Koneru; James Russell Ravenel; Anshuman Sabath; James Michael Roach; Shaun Sze-Xian Lim; MICHAEL R TADROSS; Alex H Williams; Timothy W DUNN Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: behavioral neuroscience; systems neuroscience
1256	Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex Authors: Tanishq Kumar; Blake Bordelon; Cengiz Pehlevan; Venkatesh N Murthy; Samuel J. Gershman Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neuroscience; representation learning; grokking; overtraining; cortex
1257	Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries Authors: Hang Chen; Chufeng Tang; Xiao Li; Xiaolin Hu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Neuron Segmentation; Biomedical Image Segmentation; Electron Microscopy Image
1258	Expressivity of Neural Networks with Random Weights and Learned Biases Authors: Ezekiel Williams; Alexandre Payeur; Avery Hee-Woon Ryoo; Thomas Jiralerspong; Matthew G Perich; Luca Mazzucato; Guillaume Lajoie Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: random neural networks; recurrent neural networks; plasticity; deep learning; neuroscience; multi-task learning
1259	Finding Shared Decodable Concepts and their Negations in the Brain Authors: Cory Daniel Efird; Alex Murphy; Joel Zylberberg; Alona Fyshe Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: fMRI; decoding; computer vision; neuroscience
1260	Improving Semantic Understanding in Speech Language Models via Brain-tuning Authors: Omer Moussa; Dietrich Klakow; Mariya Toneva Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: fMRI; Speech Models; Speech Recognition; Alignment; Brain Alignment; Cognitive Neuroscience; Encoding Models; Transformers
1261	Inverse Attention Agents for Multi-Agent Systems Authors: Qian Long; Ruoyan Li; Minglu Zhao; Tao Gao; Demetri Terzopoulos Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: multi-agent system; Theory of mind agent
1262	Inverse decision-making using neural amortized Bayesian actors Authors: Dominik Straub; Tobias F. Niehues; Jan Peters; Constantin A. Rothkopf Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Bayesian actor models; perception and action; cognitive science; Bayesian inference; inverse modeling
1263	Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice Authors: Jian-Qiao Zhu; Haijiang Yan; Thomas L. Griffiths Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: cognitive model; language model; computational models of cognition; rationality; economics
1264	Large Language Models Assume People are More Rational than We Really are Authors: Ryan Liu; Jiayi Geng; Joshua Peterson; Ilia Sucholutsky; Thomas L. Griffiths Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Large Language Models; Rationality; Cognitive Models; Psychology
1265	MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI Authors: Guangyin Bao; Qi Zhang; Zixuan Gong; Zhuojia Wu; Duoqian Miao Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Neuroscience; fMRI encoding; Generative model; fMRI generation; fMRI functional localizer; Concept-selective voxel
1266	Modeling dynamic social vision highlights gaps between deep learning and humans Authors: Kathy Garcia; Emalie McMahon; Colin Conwell; Michael Bonner; Leyla Isik Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: NeuroAI; vision; fMRI; deep learning; social perception
1267	Multi-modal brain encoding models for multi-modal stimuli Authors: SUBBA REDDY OOTA; Khushbu Pahwa; mounika marreddy; Maneesh Kumar Singh; Manish Gupta; Bapi Raju Surampudi Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: brain encoding; fMRI; multi-modal models; multi-modal stimuli; Transformers; videos; speech; language
1268	NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals Authors: Weibang Jiang; Yansen Wang; Bao-liang Lu; Dongsheng Li Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: EEG; large language model; multi-task learning
1269	Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning Authors: Wei Wu; Can Liao; zizhen Deng; Zhengrui Guo; Jinzhuo Wang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: representation learning; biology; neuroscience; contrastive learning
1270	One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment Authors: Christina Sartzetaki; Gemma Roig; Cees G. M. Snoek; 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; fMRI; cognitive AI
1271	QP-SNN: Quantized and Pruned Spiking Neural Networks Authors: Wenjie Wei; Malu Zhang; Zijian Zhou; Ammar Belatreche; Yimeng Shan; Yu Liang; Honglin Cao; Jieyuan Zhang; Yang Yang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Neuromorphic Computing; Spiking Pruning; Spiking Quantization
1272	Range, not Independence, Drives Modularity in Biologically Inspired Representations Authors: Will Dorrell; Kyle Hsu; Luke Hollingsworth; Jin Hwa Lee; Jiajun Wu; Chelsea Finn; Peter E. Latham; Timothy Edward John Behrens; 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 learning; disentanglement; modularisation; neural networks; hippocampus; cortex
1273	SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Authors: Simon Dahan; Gabriel Bénédict; Logan Zane John Williams; Yourong Guo; Daniel Rueckert; Robert Leech; Emma Claire Robinson Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: movie-watching experiment; fMRI; cortical analysis; surface-based transformers; multimodal learning; contrastive learning; self-supervised learning; generaliza…
1274	SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour Authors: Tom George; Pierre Glaser; Kim Stachenfeld; Caswell Barry; Claudia Clopath Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: neuroscience; place cells; grid cells; representations; neural data; hippocampus
1275	SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG Authors: Shanglin Li; Motoaki Kawanabe; Reinmar J Kobler 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
1276	Self-Attention-Based Contextual Modulation Improves Neural System Identification Authors: Isaac Lin; Tianye Wang; Shang Gao; Tang Shiming; Tai Sing Lee Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: self-attention; incremental learning; neural prediction; contextual modulation
1277	Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity Authors: Daiyao Yi; Hao Dong; Michael James Higley; Anne Churchland; Shreya Saxena Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Computational neuroscience; Multimodal; Social behavior
1278	SleepSMC: Ubiquitous Sleep Staging via Supervised Multimodal Coordination Authors: Shuo Ma; Yingwei Zhang; Yiqiang Chen; Hualei Wang; Yuan Jin; Wei Zhang; Ziyu Jia Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Sleep staging; Multimodal coordination; Ubiquitous computing
1279	Spiking Vision Transformer with Saccadic Attention Authors: Shuai Wang; Malu Zhang; Dehao Zhang; Ammar Belatreche; Yichen Xiao; Yu Liang; Yimeng Shan; Qian Sun; Enqi Zhang; Yang Yang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Spiking Transformer; Spike-driven Self-attention
1280	Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness Authors: Kangrui Du; Yuhang Wu; Shikuang Deng; Shi Gu Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: spiking neural networks; direct training; event-driven friendliness
1281	The 3D-PC: a benchmark for visual perspective taking in humans and machines Authors: Drew Linsley; Peisen Zhou; Alekh Karkada Ashok; Akash Nagaraj; Gaurav Gaonkar; Francis E Lewis; Zygmunt Pizlo; Thomas Serre Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: 3D vision; visual cognition; developmental psychology; visual reasonsing
1282	The impact of allocation strategies in subset learning on the expressive power of neural networks Authors: Ofir Schlisselberg; Ran Darshan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: subset learning; theoretical neuroscience; expressive power; neural networks; recurrent neural network
1283	Toward Generalizing Visual Brain Decoding to Unseen Subjects Authors: Xiangtao Kong; Kexin Huang; Ping Li; Lei Zhang Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Visual brain decoding; fMRI - image retrieval; Generalizing to unseen subjects
1284	Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings Authors: Di Wu; Siyuan Li; Chen Feng; Lu Cao; Yue Zhang; Jie Yang; Mohamad Sawan Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: brain-computer interfaces; speech decoding; tonal language; Homogeneity-Heterogeneity Disentanglement
1285	Tracking objects that change in appearance with phase synchrony Authors: Sabine Muzellec; Drew Linsley; Alekh Karkada Ashok; Ennio Mingolla; Girik Malik; Rufin VanRullen; Thomas Serre Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Object tracking; human psychophysics; computational neuroscience
1286	Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations Authors: Yudi Xie; Weichen Huang; Esther Alter; Jeremy Schwartz; Joshua B. Tenenbaum; James J. DiCarlo Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: Vision; Convolutional Neural Networks; Representation Learning; Neural Data Alignment; Ventral Visual Stream; Computational Neuroscience
1287	XAIguiFormer: explainable artificial intelligence guided transformer for brain disorder identification Authors: Hanning Guo; Farah Abdellatif; Yu Fu; N. Jon Shah; Abigail Morrison; Jürgen Dammers Affiliation: 官方页面未列出 Official area / track: applications to neuroscience & cognitive science Recognition: Poster/Regular Keywords: EEG; Explainable Artificial Intelligence (XAI); Explanation-Guided Learning; Transformer
1288	3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery Authors: Xiuyuan Hu; Guoqing Liu; Can Chen; Yang Zhao; Hao Zhang; Xue Liu 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 Discovery; Protein-ligand Docking; 3D Molecule Generation; Transformer; chemistry; biology; etc.)
1289	A Simple yet Effective $\Delta\Delta G$ Predictor is An Unsupervised Antibody Optimizer and Explainer Authors: Lirong Wu; Yunfan Liu; Haitao Lin; Yufei Huang; Guojiang Zhao; Zhifeng Gao; 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: Mutation Effect Prediction; Mutation Preference Explanation; Unsupervised Protein Evolution; chemistry; biology; etc.)
1290	A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations Authors: Naveen Gupta; Medha Sawhney; Arka Daw; Youzuo Lin; Anuj Karpatne 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; Inverse Problems; Full-Waveform Inversion; Seismic Imaging; ML4Science; OpenFWI; chemistry; biology; etc.)
1291	A new framework for evaluating model out-of-distribution generalisation for the biochemical domain Authors: Raul Fernandez-Diaz; Hoang Thanh Lam; Vanessa López; Denis C. Shields 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 evaluation; AI4Science; Biochemistry; Proteins; Small molecules; Protein Language Models; chemistry; biology; etc.)
1292	ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning Authors: Nilo Schwencke; Cyril Furtlehner Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: PINNs; SciML; PDEs; Natural Gradient; Neural Tangent Kernel; chemistry; biology; etc.)
1293	Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport Authors: Haokai Hong; Wanyu Lin; 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: Molecule Generation; Flow Matching; Fast Generation; chemistry; biology; etc.)
1294	Accelerating Neural ODEs: A Variational Formulation-based Approach Authors: Hongjue Zhao; Yuchen Wang; Hairong Qi; Zijie Huang; Han Zhao; Lui Sha; Huajie Shao Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Neural ordinary differential equations; irregularly-sampled dynamical systems; variational formulation; acceleration; chemistry; biology; etc.)
1295	AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Authors: Tuan Truong; Rithwik Sudharsan; Yibo Yang; Peter Xiangyuan Ma; Ruihan Yang; Stephan Mandt; Joshua S. Bloom Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: astronomy; physics; astrophysics; compression; neural compression; computer vision; remote sensing; chemistry; biology; etc.)
1296	AtomSurf: Surface Representation for Learning on Protein Structures Authors: Vincent Mallet; Yangyang Miao; Souhaib Attaiki; Bruno Correia; Maks Ovsjanikov 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; protein representation learning; surface methods; geometric deep learning; chemistry; biology; etc.)
1297	Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation Authors: Yikun Zhang; Geyan Ye; Chaohao Yuan; Bo Han; Long-Kai Huang; Jianhua Yao; Wei Liu; Yu Rong Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Cross-modal representation learning; Molecule-text understanding; Alignment; chemistry; biology; etc.)
1298	Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation Authors: Tianyi Bao; Xinyu Ye; Hang Ruan; Chang Liu; Wenjie Wu; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Quantum Error Mitigation; Graph Transformer; chemistry; biology; etc.)
1299	Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences Authors: Niklas Schmidinger; Lisa Schneckenreiter; Philipp Seidl; Johannes Schimunek; Pieter-Jan Hoedt; Johannes Brandstetter; Andreas Mayr; Sohvi Luukkonen; Sepp Hochreiter; Günter Klamba… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: xLSTM; large language model; foundation model; DNA; protein; small molecule; SMILES; in-context learning; masked language modeling; causal language modeling; f…
1300	BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Authors: Yusuf H Roohani; Andrew H. Lee; Qian Huang; Jian Vora; Zachary Steinhart; Kexin Huang; Alexander Marson; Percy Liang; Jure Leskovec 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; agents; computational biology; genomics; AI for scientific discovery; chemistry; biology; etc.)
1301	Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models Authors: Ali Khajegili Mirabadi; Katherine Rich; Hossein Farahani; Ali Bashashati 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; Large Vision Models; Semantic Evaluation; Computational Pathology; Medical Imaging; chemistry; biology; etc.)
1302	Boltzmann priors for Implicit Transfer Operators Authors: Juan Viguera Diez; Mathias Jacob Schreiner; Ola Engkvist; Simon Olsson 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; Transfer Operators; Diffusion Models; Boltzmann Generators; chemistry; biology; etc.)
1303	Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo Authors: Jun Xia; Sizhe Liu; Jingbo Zhou; Shaorong Chen; hongxin xiang; Zicheng Liu; Yue Liu; 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: Protein Identification; Mass Spectrum; Proteomics; chemistry; biology; etc.)
1304	CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems Authors: Long Wei; Haodong Feng; Yuchen Yang; Ruiqi Feng; Peiyan Hu; Xiang Zheng; Tao Zhang; Dixia Fan; 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: physical systems control; closed-loop control; PDE; physical simulation; generative models; chemistry; biology; etc.)
1305	CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening Authors: Gen Zhou; Sugitha Janarthanan; Yutong Lu; 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: Contrastive Learning; Multimodal Foundation Model; Antibiotic Property Prediction; Bi-level Routing Attention; Transformer; chemistry; biology; etc.)
1306	CViT: Continuous Vision Transformer for Operator Learning Authors: Sifan Wang; Jacob H Seidman; Shyam Sankaran; Hanwen Wang; George J. Pappas; 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: Scientific Machine Learning; Operator Learning; Neural Operators; Neural Fields; Vision Transformer; Partial Differential Equations; chemistry; biology; etc.)
1307	Can Transformers Do Enumerative Geometry? Authors: Baran Hashemi; Roderic Guigo Corominas; Alessandro Giacchetto 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 Mathematics; Algebraic Geometry; Theorem Discovery; Transformers; Recursive functions; Interpretability Analysis and world model.; chemistry; biology; e…
1308	CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling Authors: Matthew Fortier; Mats Leon Richter; Oliver Sonnentag; Christopher Pal Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: dataset; machine learning; deep learning; multimodal models; climate chage; carbon dynamics; benchmark; chemistry; biology; etc.)
1309	Causal Representation Learning from Multimodal Biomedical Observations Authors: Yuewen Sun; Lingjing Kong; Guangyi Chen; Loka Li; Gongxu Luo; Zijian Li; Yixuan Zhang; Yujia Zheng; Mengyue Yang; Petar Stojanov; Eran Segal; Eric P. Xing; Kun Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: multimodal observations; identifiability; causal representation learning; chemistry; biology; etc.)
1310	CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction Authors: Hyukjun Lim; 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: Protein-Ligand Binding Affinity; Hierarchical Representation Learning; Cross-Attention Mechanism; Drug Discovery; chemistry; biology; etc.)
1311	ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning Authors: Xiangru Tang; Tianyu Hu; Muyang Ye; Yanjun Shao; Xunjian Yin; Siru Ouyang; Wangchunshu Zhou; Pan Lu; Zhuosheng Zhang; Yilun Zhao; Arman Cohan; Mark Gerstein Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Chemical Reasoning; Large Language Models; Agent; chemistry; biology; etc.)
1312	Chemistry-Inspired Diffusion with Non-Differentiable Guidance Authors: Yuchen Shen; Chenhao Zhang; Sijie Fu; Chenghui Zhou; Newell Washburn; Barnabas Poczos Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: guided diffusion; ai4science; molecule generation; chemistry; biology; etc.)
1313	Computing Circuits Optimization via Model-Based Circuit Genetic Evolution Authors: Zhihai Wang; Jie Wang; Xilin Xia; Dongsheng Zuo; Lei Chen; Yuzhe Ma; Jianye HAO; Mingxuan Yuan; Feng Wu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: AI Chips Design; Computing Circuits Optimization; Evolutionary Algorithm; Reinforcement Learning; chemistry; biology; etc.)
1314	Contextualizing biological perturbation experiments through language Authors: Menghua Wu; Russell Littman; Jacob Levine; Lin Qiu; Tommaso Biancalani; David Richmond; Jan-Christian Huetter 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; Perturb-seq; perturbation experiments; knowledge graphs; retrieval-augmented generation; chain of thought prompting; chemistry; biology;…
1315	Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images Authors: Aiqing Zhu; Yuting Pan; Qianxiao Li Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Latent dynamical system; Autoencoders; Learning dynamics; Continuity-preserving; chemistry; biology; etc.)
1316	Continuous Ensemble Weather Forecasting with Diffusion models Authors: Martin Andrae; Tomas Landelius; Joel Oskarsson; Fredrik Lindsten Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: weather forecasting; diffusion; ensemble forecasting; chemistry; biology; etc.)
1317	CryoFM: A Flow-based Foundation Model for Cryo-EM Densities Authors: Yi Zhou; Yilai Li; Jing Yuan; 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: cryoEM; foundation model; flow matching; chemistry; biology; etc.)
1318	CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction Authors: Yunfei Teng; Yuxuan Ren; Kai Chen; Xi Chen; Zhaoming Chen; Qiwei Ye Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Cryo-ET; EBMs; Cryogenic Electron Tomography; Generative Energy-based Model; chemistry; biology; etc.)
1319	Curriculum-aware Training for Discriminating Molecular Property Prediction Models Authors: Hansi Yang; Quanming Yao; James Kwok Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: molecular property prediction; curriculum learning; chemistry; biology; etc.)
1320	DEPfold: RNA Secondary Structure Prediction as Dependency Parsing. Authors: KE WANG; Shay B Cohen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: RNA secondary structure prediction; Dependency parsing; Biaffine attention; Pseudoknots; Pretrained Model; Deep learning; chemistry; biology; etc.)
1321	DPLM-2: A Multimodal Diffusion Protein Language Model Authors: Xinyou Wang; Zaixiang Zheng; Fei YE; Dongyu Xue; Shujian Huang; 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: protein foundation model; diffusion language model; multimodal language model; chemistry; biology; etc.)
1322	Data Distillation for extrapolative protein design through exact preference optimization Authors: Mostafa Karimi; Sharmi Banerjee; Tommi Jaakkola; Bella Dubrov; Shang Shang; Ron Benson 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 Language Models; Preference Learning; Extrapolation; Data distillation; chemistry; biology; etc.)
1323	Deep Signature: Characterization of Large-Scale Molecular Dynamics Authors: Tiexin Qin; Mengxu ZHU; Chunyang Li; Terry Lyons; Hong Yan; Haoliang 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; representation learning; graph neural network; path signature; chemistry; biology; etc.)
1324	DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training Authors: Yurou Liu; Jiahao Chen; Rui Jiao; Jiangmeng Li; Wenbing Huang; Bing Su Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: 3D Molecular pre-training via denoising; Molecular property prediction; chemistry; biology; etc.)
1325	Designing Mechanical Meta-Materials by Learning Equivariant Flows Authors: Mehran Mirramezani; Anne S. Meeussen; Katia Bertoldi; Peter Orbanz; Ryan P Adams Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: neural network equivariant flow; inverse design; differentiable simulator; crystallographic symmetries; cellular solids; chemistry; biology; etc.)
1326	Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models Authors: Chuan Liu; Chunshu Wu; shihui cao; Mingkai Chen; James Chenhao Liang; Ang Li; Michael Huang; Chuang Ren; Ying Nian Wu; Dongfang Liu; Tong Geng 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; PIC Simulations; Scientific Data Generation; chemistry; biology; etc.)
1327	Differentiable and Learnable Wireless Simulation with Geometric Transformers Authors: Thomas Hehn; Markus Peschl; Tribhuvanesh Orekondy; Arash Behboodi; Johann Brehmer Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: inverse problems; learning to simulate; wireless channel modeling; geometric deep learning; equivariance; inverse problems; electromagnetic signals; diffusion…
1328	Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images Authors: Sichen Zhu; Yuchen Zhu; Molei Tao; Peng Qiu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Gene Expression Prediction; Diffusion Model; Spatial Transcriptomics; H&E; chemistry; biology; etc.)
1329	Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators Authors: Wenhan Gao; Ruichen Xu; Yuefan Deng; 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: Neural Operators; Operator Learning; Discretization Mismatch Errors; Discretization Invariance; chemistry; biology; etc.)
1330	Distilling Structural Representations into Protein Sequence Models Authors: Jeffrey Ouyang-Zhang; Chengyue Gong; Yue Zhao; Philipp Kraehenbuehl; Adam Klivans; Daniel Jesus Diaz Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: biology; proteins; sequence; structure; autoencoder; esm; chemistry; biology; etc.)
1331	E(3)-equivariant models cannot learn chirality: Field-based molecular generation Authors: Alexandru Dumitrescu; Dani Korpela; Markus Heinonen; Yogesh Verma; Valerii Iakovlev; Vikas Garg; Harri Lähdesmäki 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 models; molecule generation; chemistry; biology; etc.)
1332	EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow Authors: Yufei Huang; Yunshu Liu; Lirong Wu; Haitao Lin; Cheng Tan; Odin Zhang; Zhangyang Gao; Siyuan Li; Zicheng Liu; Yunfan Liu; Tailin Wu; 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: Generative Model; Protein Structure Generation; Training-free Conditional Generation; chemistry; biology; etc.)
1333	Efficient Biological Data Acquisition through Inference Set Design Authors: Ihor Neporozhnii; Julien Roy; Emmanuel Bengio; Jason Hartford Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Active Learning; Data Acquisition; ML for Drug Discovery; chemistry; biology; etc.)
1334	Efficient Evolutionary Search Over Chemical Space with Large Language Models Authors: Haorui Wang; Marta Skreta; Cher Tian Ser; Wenhao Gao; Lingkai Kong; Felix Strieth-Kalthoff; Chenru Duan; Yuchen Zhuang; Yue Yu; Yanqiao Zhu; Yuanqi Du; Alan Aspuru-Guzik; Kirill N… 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; Evolutionary Search; Molecule Optimization; AI for Science; Molecular generation; chemistry; biology; etc.)
1335	Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement Authors: Stathis Megas; Daniel G. Chen; Krzysztof Polanski; Moshe Eliasof; Carola-Bibiane Schönlieb; Sarah A Teichmann Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: spatial causal inference; spatially disentangled representations; spatial transcriptomics; mechanistic interpretability; chemistry; biology; etc.)
1336	Fast and Accurate Blind Flexible Docking Authors: Zizhuo Zhang; Lijun Wu; Kaiyuan Gao; Jiangchao Yao; Tao Qin; 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: Blind Flexible Molecular Docking; Structure Prediction; AI4Science; Ligand-Protein Graph; chemistry; biology; etc.)
1337	Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics Authors: Alberto Pepe; Mattia Montanari; Joan Lasenby Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Clifford Algebra; Neural Operator; PDE Modelling; Geometric Machine Learning; chemistry; biology; etc.)
1338	FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields Authors: Shihao Shao; Haoran Geng; Zun Wang; Qinghua Cui 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; Equivariant Graph Neural Network; Clebsch-Gordan Transform; chemistry; biology; etc.)
1339	GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment Authors: Aishwarya Jayagopal; Yanrong Zhang; Robert John Walsh; Tuan Zea Tan; Anand D Jeyasekharan; Vaibhav Rajan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: personalized drug response prediction; cancer; genomic data augmentation; diffusion model; pseudolabelling; chemistry; biology; etc.)
1340	Generating Physical Dynamics under Priors Authors: Zihan Zhou; Xiaoxue Wang; 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; generative models; physical dynamics; priors; chemistry; biology; etc.)
1341	Generative Flows on Synthetic Pathway for Drug Design Authors: Seonghwan Seo; Minsu Kim; Tony Shen; Martin Ester; Jinkyoo Park; Sungsoo Ahn; 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: GFlowNet; synthesizability; structure-based drug design; molecule optimization; chemistry; biology; etc.)
1342	GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks Authors: Sarp Aykent; Tian Xia 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; computational physics; 3D graphs; chemistry; biology; etc.)
1343	Gradient-Free Generation for Hard-Constrained Systems Authors: Chaoran Cheng; Boran Han; Danielle C. Maddix; Abdul Fatir Ansari; Andrew Stuart; 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: Flow Matching; Generative Model; Constrained Generation; Partial Differential Equations; Conservation Laws; chemistry; biology; etc.)
1344	Group Ligands Docking to Protein Pockets Authors: Jiaqi Guan; Jiahan Li; Xiangxin Zhou; Xingang Peng; Sheng Wang; Yunan Luo; Jian Peng; Jianzhu Ma 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; ai4science; chemistry; biology; etc.)
1345	HELM: Hierarchical Encoding for mRNA Language Modeling Authors: Mehdi Yazdani-Jahromi; Mangal Prakash; Tommaso Mansi; Artem Moskalev; 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: Messenger RNA (mRNA); Codon structure; Hierarchical modeling; Bio-language model; Property prediction; mRNA sequence generation; chemistry; biology; etc.)
1346	Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs Authors: Yu-Zhe Shi; Mingchen Liu; Fanxu Meng; Qiao Xu; Zhangqian Bi; Kun He; Lecheng Ruan; Qining Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Self-driving laboratories; protocol design; automated design; domain-specific language; chemistry; biology; etc.)
1347	Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension Authors: Jiahan Li; Tong Chen; Shitong Luo; Chaoran Cheng; Jiaqi Guan; Ruihan Guo; Sheng Wang; Ge Liu; Jian Peng; Jianzhu Ma 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; Protein Design; Generative Models; chemistry; biology; etc.)
1348	Hyperbolic Genome Embeddings Authors: Raiyan R. Khan; Philippe Chlenski; Itsik Pe'er Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: genomics; representation learning; hyperbolic geometry; chemistry; biology; etc.)
1349	IgGM: A Generative Model for Functional Antibody and Nanobody Design Authors: Rubo Wang; Fandi Wu; Xingyu Gao; Jiaxiang Wu; Peilin Zhao; Jianhua Yao Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: de novo antibody design; complex structure prediction; protein design; chemistry; biology; etc.)
1350	Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection Authors: Song Li; Yang Tan; Song Ke; Liang Hong; Bingxin Zhou 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 model; protein representation learning; immunogenicity prediction; chemistry; biology; etc.)
1351	Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula Authors: Youssef Shehata; Benjamin Holzschuh; 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: physics-based simulations; diffusion models; improved sampling; chemistry; biology; etc.)
1352	Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows Authors: Xiangxin Zhou; Yi Xiao; Haowei Lin; Xinheng He; Jiaqi Guan; Yang Wang; Qiang Liu; Feng Zhou; Liang Wang; Jianzhu Ma 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; structure-based drug design; protein dynamics; chemistry; biology; etc.)
1353	Interpretable Causal Representation Learning for Biological Data in the Pathway Space Authors: Jesus de la Fuente Cedeño; Robert Lehmann; Carlos Ruiz-Arenas; Jan Voges; Irene Marín-Goñi; Xabier Martinez de Morentin; David Gomez-Cabrero; Idoia Ochoa; Jesper Tegnér; Vincenzo… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Causal Representation Learning; Intepretability; VAE; Genomic Perturbations; Health; chemistry; biology; etc.)
1354	InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization Authors: Yifan Niu; Ziqi Gao; Tingyang Xu; Yang Liu; Yatao Bian; Yu Rong; Junzhou Huang; Jia Li 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 drug discovery; chemistry; biology; etc.)
1355	Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck Authors: Shuai Zhang; Junfeng Fang; Xuqiang Li; hongxin xiang; ALAN XIA; Ye Wei; Wenjie Du; 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 Relational Learning; EM Algorithm; Substructure Extraction; Interactive Graph Information Bottleneck; chemistry; biology; etc.)
1356	KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA Authors: Xiaorui Su; Yibo Wang; Shanghua Gao; Xiaolong Liu; Valentina Giunchiglia; Djork-Arné Clevert; 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: Medical Reasoning; Medical QA; Agent; Knowledge Graph; LLM; chemistry; biology; etc.)
1357	KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics Authors: Jindou Chen; Jidong Tian; Liang Wu; ChenXinWei; Xiaokang Yang; Yaohui Jin; Yanyan Xu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Kinetic Equation Prediction; Dynamical Symbolic Regression; Transform; Conditional Strategy; MCTS; chemistry; biology; etc.)
1358	KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks Authors: Dominik Scheuer; Frederic Runge; Jörg K.H. Franke; Michael T. Wolfinger; Christoph Flamm; Frank Hutter Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: RNA Folding Kinetics; Prior-Data Fitted Networks; Deep Learning; Synthetic Data; Transformer; Bayesian Inference; chemistry; biology; etc.)
1359	Learning Molecular Representation in a Cell Authors: Gang Liu; Srijit Seal; John Arevalo; Zhenwen Liang; Anne E Carpenter; Meng Jiang; Shantanu Singh 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; Drug Discovery; Cell Morphology; Gene Expression; chemistry; biology; etc.)
1360	Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods Authors: Lise Le Boudec; Emmanuel de Bezenac; Louis Serrano; Ramon Daniel Regueiro-Espino; Yuan Yin; Patrick Gallinari Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Physics-informed Deep Learning; PDE Solver; Parametric PDE; PINNs; chemistry; biology; etc.)
1361	Learning system dynamics without forgetting Authors: Xikun ZHANG; Dongjin Song; Yushan Jiang; Yixin Chen; Dacheng Tao 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; AI4Science; physics; biology; chemistry; biology; etc.)
1362	Learning the Complexity of Weakly Noisy Quantum States Authors: Yusen Wu; Bujiao Wu; Yanqi Song; Xiao Yuan; Jingbo Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Quantum State Complexity; Quantum Learning Algorithm; chemistry; biology; etc.)
1363	Learning to engineer protein flexibility Authors: Petr Kouba; Joan Planas-Iglesias; Jiri Damborsky; Jiri Sedlar; Stanislav Mazurenko; Josef Sivic Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: protein flexibility; protein flexibility prediction; protein design; protein sequence design; inverse folding; chemistry; biology; etc.)
1364	Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Authors: Zakhar Shumaylov; Peter Zaika; James Rowbottom; Ferdia Sherry; Melanie Weber; Carola-Bibiane Schönlieb Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Canonicalization; Equivariance; Invariance; Lie algebra; Partial Differential Equations; Neural Operator; PINN; Neural PDE solver; Lie point symmetries; Frames…
1365	Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space Authors: Mohamed Amine Ketata; Nicholas Gao; Johanna Sommer; Tom Wollschläger; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Drug Design; Computational Biology; Molecule Generation; Graph Generation; Latent Diffusion Models; chemistry; biology; etc.)
1366	MADGEN: Mass-Spec attends to De Novo Molecular generation Authors: Yinkai Wang; Xiaohui Chen; Liping Liu; Soha Hassoun Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: AI4Science; Biology Discovery; Metabolomics; MS/MS spectra; chemistry; biology; etc.)
1367	MAESTRO: Masked Encoding Set Transformer with Self-Distillation Authors: Matthew Eric Lee; Jaesik Kim; Matei Ionita; Jonghyun Lee; Michelle L. McKeague; YONGHYUN NAM; Irene Khavin; Yidi Huang; Victoria Fang; Sokratis Apostolidis; Divij Mathew; Shwetank… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: self-supervision; representation learning; immunology; biology; single-cell; cytometry; set; set representations; chemistry; biology; etc.)
1368	MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science Authors: Erle Zhu; Yadi Liu; Zhe Zhang; Xujun Li; JinZhou; Xinjie Yu; Minlie Huang; Hongning Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: multi-modal reasoning; scientific reasoning; physical simulation; chemistry; biology; etc.)
1369	MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations Authors: Yan Xie; Minrui Lv; Chen-Song 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 multigrid solver; Fourier transform; Helmholtz equations; high wave number; heterogeneous medium; chemistry; biology; etc.)
1370	MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models Authors: Peng Xia; Kangyu Zhu; Haoran Li; Tianze Wang; Weijia Shi; Sheng Wang; Linjun Zhang; James Zou; 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: medical vision-language model; retrieval-augmented generation; chemistry; biology; etc.)
1371	MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks Authors: Nayoung Kim; Seongsu Kim; Minsu Kim; Jinkyoo Park; 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: metal-organic framework; material structure prediction; AI for science; chemistry; biology; etc.)
1372	MatExpert: Decomposing Materials Discovery By Mimicking Human Experts Authors: Qianggang Ding; Santiago Miret; Bang Liu Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Material Discovery; Large Language Models (LLMs); Material Generation; Crystal Structure Generation; Contrastive Learning; chemistry; biology; etc.)
1373	MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction Authors: Cheng Tan; Zhenxiao Cao; Zhangyang Gao; Lirong Wu; Siyuan Li; Yufei Huang; Jun Xia; Bozhen Hu; 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: Biomolecular learning; Protein sequence; chemistry; biology; etc.)
1374	MeshMask: Physics-Based Simulations with Masked Graph Neural Networks Authors: Paul Garnier; Vincent Lannelongue; Jonathan Viquerat; Elie Hachem Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: graph networks; simulation; mesh; physics; chemistry; biology; etc.)
1375	Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Authors: Lazar Atanackovic; Xi Zhang; Brandon Amos; Mathieu Blanchette; Leo J Lee; Yoshua Bengio; Alexander Tong; Kirill Neklyudov 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; Dynamics; Cell dynamics; chemistry; biology; etc.)
1376	Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout Authors: Bharat Srikishan; Daniel O'Malley; Mohamed Mehana; Nicholas Lubbers; Nikhil Muralidhar 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; knowledge guided machine learning; scientific machine learning; computational fluid dynamics; reinforcement learning; chemistry; biology; etc.)
1377	MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra Authors: Liang Wang; Shaozhen Liu; Yu Rong; Deli Zhao; Qiang Liu; Shu Wu; Liang Wang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: 3D molecular representation learning; molecular spectra; pre-training; chemistry; biology; etc.)
1378	Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen Authors: Alessandro Palma; Till Richter; Hanyi Zhang; Manuel Lubetzki; Alexander Tong; Andrea Dittadi; Fabian J Theis Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: scRNA-seq; Flow Matching; Generative modeling; Multiomics; chemistry; biology; etc.)
1379	Multi-domain Distribution Learning for De Novo Drug Design Authors: Arne Schneuing; Ilia Igashov; Adrian W. Dobbelstein; Thomas Castiglione; Michael M. Bronstein; Bruno Correia 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; Flow Matching; Markov Bridge; Equivariance; chemistry; biology; etc.)
1380	Multi-objective antibody design with constrained preference optimization Authors: Milong Ren; ZaiKai He; Haicang Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: antibody design; diffusion generative model; preference optimization; chemistry; biology; etc.)
1381	NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation Authors: Zhiyuan Liu; Yanchen Luo; Han Huang; Enzhi Zhang; Sihang Li; Junfeng Fang; Yaorui Shi; Xiang Wang; Kenji Kawaguchi; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: 3D molecule generation; molecular conformer generation; large language models; diffusion models; geometric deep learning; chemistry; biology; etc.)
1382	No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Authors: Krzysztof Kacprzyk; 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: dynamical systems; interpretability; ordinary differential equations; symbolic regression; chemistry; biology; etc.)
1383	NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions Authors: Mehak Preet Dhaliwal; Andong Hua; Laya Pullela; Ryan Burke; Yao Qin 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; Nutrition Estimation; Dataset and Benchmark; AI for healthcare; chemistry; biology; etc.)
1384	On the Fourier analysis in the SO(3) space : the EquiLoPO Network Authors: Dmitrii Zhemchuzhnikov; Sergei Grudinin Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Equivariance; Fourier Analysis; SO(3); MedMNIST3D; Local Activation; CNN; Group Convolution; Computer Vision; 3D Medical Images; chemistry; biology; etc.)
1385	PIED: Physics-Informed Experimental Design for Inverse Problems Authors: Apivich Hemachandra; Gregory Kang Ruey Lau; See-Kiong Ng; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Physics-Informed Neural Network; PINNs; Experimental Design; AI For Science; Active Learning; Data Selection; chemistry; biology; etc.)
1386	PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations Authors: Namgyu Kang; Jaemin Oh; Youngjoon Hong; Eunbyung Park Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Gaussians; Physics-informed Deep Learning; chemistry; biology; etc.)
1387	PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows Authors: Huaguan Chen; 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: Fluid dynamics; Spatiotemporal prediction; Physics-informed learning; chemistry; biology; etc.)
1388	PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks Authors: Youn-Yeol Yu; Jeongwhan Choi; Jaehyeon Park; Kookjin Lee; Noseong Park 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; fluid dynamics; simulation; mesh; physics; over-squashing; rewiring; chemistry; biology; etc.)
1389	PRDP: Progressively Refined Differentiable Physics Authors: Kanishk Bhatia; Felix Koehler; 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: differentiable physics; iterative PDE solvers; neural surrogate; chemistry; biology; etc.)
1390	Periodic Materials Generation using Text-Guided Joint Diffusion Model Authors: KISHALAY DAS; Subhojyoti Khastagir; Pawan Goyal; Seung-Cheol Lee; Satadeep Bhattacharjee; Niloy Ganguly Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: ML4Materials; Diffusion Models; Crystal Materials; Material Generation; AI4Science; chemistry; biology; etc.)
1391	PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders Authors: Tianyu Xie; Harry Richman; Jiansi Gao; Frederick A Matsen; Cheng Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Variational Autoencoders; Unsupervised Learning; Phylogenetic Trees; Representation Learning; chemistry; biology; etc.)
1392	PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling Authors: Junchao Gong; Siwei Tu; Weidong Yang; Ben Fei; Kun Chen; zhangwenlong; Xiaokang Yang; Wanli Ouyang; 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; Precipitation Nowcasting; Diffusion Model; Zero-shot Blurriness Kernel; Auto-scale Denoise Guidance; chemistry; biology; etc.)
1393	Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning Authors: Ruikun Li; Huandong Wang; Qingmin Liao; Yong Li Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: dynamical system; energy landscape; deep learning; chemistry; biology; etc.)
1394	ProtPainter: Draw or Drag Protein via Topology-guided Diffusion Authors: Zhengxi Lu; Shizhuo Cheng; Tintin Jiang; Yan Zhang; Min 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 Backbone Generation; Conditional Diffusion; Topology; Protein Editing; chemistry; biology; etc.)
1395	Protein Language Model Fitness is a Matter of Preference Authors: Cade W Gordon; Amy X. Lu; Pieter Abbeel 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; zero-shot fitness prediction; chemistry; biology; etc.)
1396	ProteinBench: A Holistic Evaluation of Protein Foundation Models Authors: Fei YE; Zaixiang Zheng; Dongyu Xue; Yuning Shen; Lihao Wang; Yiming Ma; Yan Wang; Xinyou Wang; Xiangxin Zhou; 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: Protein foundation model; benchmark; protein design; protein conformation prediction; chemistry; biology; etc.)
1397	Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer Authors: Zihan Pengmei; Zhengyuan Shen; Zichen Wang; Marcus D. Collins; Huzefa Rangwala Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Geometric Graph Neural Networks; Self-supervised Pre-training; Scaling; Zero-shot Transfer; Molecular Representation; chemistry; biology; etc.)
1398	QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation Authors: Yehui Tang; Mabiao Long; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: quantum; property estimation; machine learning; chemistry; biology; etc.)
1399	REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring Authors: Taewon Kim; Hyunjin Seo; Sungsoo Ahn; Eunho Yang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: molecular conformation prediction; molecule modeling; graph neural network; chemistry; biology; etc.)
1400	ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing Authors: Shaorong Chen; Jun Xia; Jingbo Zhou; Lecheng Zhang; Zhangyang Gao; Bozhen Hu; Cheng Tan; Wenjie Du; 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: Peptide Sequencing; chemistry; biology; etc.)
1401	Real-time design of architectural structures with differentiable mechanics and neural networks Authors: Rafael Pastrana; Eder Medina; Isabel M. de Oliveira; Sigrid Adriaenssens; Ryan P Adams Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Differentiable physics; mechanical design; physics-in-the-loop neural networks; inverse problems; architectural structures; chemistry; biology; etc.)
1402	Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval Authors: Pengcheng Jiang; Cao Xiao; Minhao Jiang; Parminder Bhatia; Taha Kass-Hout; Jimeng Sun; Jiawei Han Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: EHR Prediction; Large Language Models; Knowledge Graphs; chemistry; biology; etc.)
1403	Regulatory DNA Sequence Design with Reinforcement Learning Authors: Zhao Yang; Bing Su; Chuan Cao; Ji-Rong Wen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: sequence optimize; generative models; ai4science; dna; rl; chemistry; biology; etc.)
1404	RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data Authors: Maxwell A Xu; Jaya Narain; Gregory Darnell; Haraldur T Hallgrimsson; Hyewon Jeong; Darren Forde; Richard Andres Fineman; Karthik Jayaraman Raghuram; James Matthew Rehg; Shirley Yo… Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: imu; har; biosignals; activity classification; gait metrics; time-series; foundation model; contrastive learning; self-supervised learning; chemistry; biology;…
1405	Rethinking the role of frames for SE(3)-invariant crystal structure modeling Authors: Yusei Ito; Tatsunori Taniai; Ryo Igarashi; Yoshitaka Ushiku; Kanta Ono Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Materials Science; Invariant Networks; Transformer; Physics-Informed ML; chemistry; biology; etc.)
1406	Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization Authors: Zichen Wang; Yaokun Ji; Jianing Tian; 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: Generative model; Retrieval augmented geneartion; Protein design; chemistry; biology; etc.)
1407	RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning Authors: Chenglong Kang; Xiaoyi Liu; Fei Guo Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Retrosynthetic Planning; Route Evaluation; In-Context Learning; Large Language Model; chemistry; biology; etc.)
1408	Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields Authors: Brandon Zhao; Aviad Levis; Liam Connor; Pratul P. Srinivasan; 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; signal processing; inverse problems; astrophysics; cosmology; neural fields; machine learning for physical sciences; chemistry; biology;…
1409	Revolutionizing EMCCD Denoising through a Novel Physics-Based Learning Framework for Noise Modeling Authors: Haiyang Jiang; Tetsuichi Wazawa; Imari Sato; Takeharu Nagai; Yinqiang Zheng Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: EMCCD; physics-based noise modeling; deep high-sensitivity imaging; fluorescence microscopy image denoising; chemistry; biology; etc.)
1410	SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection Authors: Jingjie Zhang; Hanqun CAO; Zijun Gao; Xiaorui Wang; Chunbin Gu 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; Bioinformatics; Phosphorylation prediction; chemistry; biology; etc.)
1411	SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs Authors: Mingquan Feng; Yixin Huang; Weixin Liao; Yuhong Liu; Yizhou Liu; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: PDE; High Dimension; Neural Operator; chemistry; biology; etc.)
1412	SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision Authors: Kangjie Zheng; Siyue Liang; Junwei Yang; Bin Feng; Zequn Liu; Wei Ju; Zhiping Xiao; Ming Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: SMILES Language Model; SMILES Pre-training Model; Molecular Pre-training Model; chemistry; biology; etc.)
1413	SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding Authors: Sihang Li; Jin Huang; Jiaxi Zhuang; Yaorui Shi; Xiaochen Cai; Mingjun Xu; Xiang Wang; Linfeng Zhang; Guolin Ke; Hengxing Cai 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; Pre-training; Supervised Fine-tuning; Scientific Literature Understanding; chemistry; biology; etc.)
1414	Score-based free-form architectures for high-dimensional Fokker-Planck equations Authors: Feng Liu; Faguo Wu; Xiao Zhang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Fokker-Planck Equations; Normalization Condition; Score Model; Physical Constraints.; chemistry; biology; etc.)
1415	Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning Authors: Gyoung S. Na; 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: Representation learning; Generative models; Molecular science; Scientific applications; chemistry; biology; etc.)
1416	Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations Authors: Abdolmehdi Behroozi; Chaopeng Shen; Daniel Kifer Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Fourier Neural Operator; Sensitivity Analysis; Parametric Differential Equations; Surrogate Modes; Differentiable Numerical Solvers; Inverse Problems; chemistr…
1417	Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries Authors: Zongzhao Li; Jiacheng Cen; Wenbing Huang; Taifeng Wang; Le Song Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: RNA Structure; RNA Evaluation; Geometric Deep Learning; Graph Neural Networks; chemistry; biology; etc.)
1418	Solving Differential Equations with Constrained Learning Authors: Viggo Moro; Luiz F. O. Chamon Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: Constrained learning; partial differential equations; neural operators; physics-informed neural networks; chemistry; biology; etc.)
1419	Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows Authors: Shuhao Cao; Francesco Brarda; Rui Peng Li; Yuanzhe Xi Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: operator learning; neural operators; Navier-Stokes; PDE; partial differential equations; computational fluid dynamics; chemistry; biology; etc.)
1420	Stiefel Flow Matching for Moment-Constrained Structure Elucidation Authors: Austin Henry Cheng; Alston Lo; Kin Long Kelvin Lee; Santiago Miret; Alan Aspuru-Guzik Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: 3D molecular generative models; flow matching; Stiefel manifold; structure elucidation; chemistry; biology; etc.)
1421	Structure Language Models for Protein Conformation Generation Authors: Jiarui Lu; Xiaoyin Chen; Stephen Zhewen Lu; Chence Shi; Hongyu Guo; Yoshua Bengio; 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; conformation generation; conformation sampling; generative models; language models; diffusion models; chemistry; biology; etc.)
1422	SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models Authors: Daniel Levy; Siba Smarak Panigrahi; Sékou-Oumar Kaba; Qiang Zhu; Kin Long Kelvin Lee; Mikhail Galkin; Santiago Miret; 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: Crystals; Symmetry; Materials; Diffusion; Generative Models; Equivariance; chemistry; biology; etc.)
1423	SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems Authors: Patrick Emami; Zhaonan Li; Saumya Sinha; Truc Nguyen Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: surrogate models; multimodal text and timeseries models; language-interfaced regression; chemistry; biology; etc.)
1424	Text2PDE: Latent Diffusion Models for Accessible Physics Simulation Authors: Anthony Zhou; Zijie Li; Michael Schneier; John R Buchanan Jr; Amir Barati Farimani Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: AI4Science; PDE; Neural Operator; Latent Diffusion; Text2PDE; chemistry; biology; etc.)
1425	The OMG dataset: An Open MetaGenomic corpus for mixed-modality genomic language modeling Authors: Andre Cornman; Jacob West-Roberts; Antonio Pedro Camargo; Simon Roux; Martin Beracochea; Milot Mirdita; Sergey Ovchinnikov; Yunha Hwang Affiliation: 官方页面未列出 Official area / track: applications to physical sciences (physics, chemistry, biology, etc.) Recognition: Poster/Regular Keywords: metagenomics; pretraining dataset; genomic language model; chemistry; biology; etc.)
1426	Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians Authors: Ishan Amin; Sanjeev Raja; Aditi S. Krishnapriyan 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; graph neural networks; knowledge distillation; chemistry; biology; etc.)
1427	Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers Authors: Kiyoung Seong; Seonghyun Park; Seonghwan Kim; Woo Youn Kim; 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: molecular dynamics; transition path sampling; chemistry; biology; etc.)
1428	Unlocking Guidance for Discrete State-Space Diffusion and Flow Models Authors: Hunter Nisonoff; Junhao Xiong; Stephan Allenspach; 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: discrete state-space generative models; diffusion; flow-matching; flow models; guidance; protein design; chemistry; biology; etc.)
1429	VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology Authors: Yi Xiao; Qilong Jia; Kun Chen; LEI BAI; Wei Xue 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; Variational Autoencoder; Weather Forecasting; chemistry; biology; etc.)
1430	Wavelet Diffusion Neural Operator Authors: Peiyan Hu; Rui Wang; Xiang Zheng; Tao Zhang; Haodong Feng; Ruiqi Feng; Long Wei; Yue Wang; Zhi-Ming Ma; 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: PDE; physics; simulation; control; diffusion model; wavelet; abrupt changes; multi-resolution; chemistry; biology; etc.)
1431	WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning Authors: Xiangyu Zhao; Zhiwang Zhou; zhangwenlong; Yihao Liu; Xiangyu Chen; Junchao Gong; Hao Chen; Ben Fei; Shiqi Chen; Wanli Ouyang; Xiao-Ming Wu; 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; Weather foundation model; in-context learning; chemistry; biology; etc.)
1432	What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits Authors: Harish Babu Manogaran; M. Maruf; Arka Daw; Kazi Sajeed Mehrab; Caleb Patrick Charpentier; Josef Uyeda; Wasila M Dahdul; Matthew J Thompson; Elizabeth G Campolongo; Kaiya L Provost… 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; interpretability; prototype-based neural network; phylogeny; computer vision; chemistry; biology; etc.)
1433	Zero-shot forecasting of chaotic systems Authors: Yuanzhao Zhang; 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; chemistry; biology; etc.)
1434	3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds Authors: Hengshuo Chu; Xiang Deng; Qi Lv; Xiaoyang Chen; Yinchuan Li; Jianye HAO; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: 3D.+Large Language Model.+Robot.+Affordance.+Perception; autonomy; planning
1435	A deep inverse-mapping model for a flapping robotic wing Authors: Hadar Sharvit; Raz Karl; Tsevi Beatus Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: robotics; control; flapping drones; deep learning; time series; inverse mapping; sequence to sequence; autonomy; planning
1436	ADAM: An Embodied Causal Agent in Open-World Environments Authors: Shu Yu; Chaochao Lu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: embodied agent; causality; large language model; interpretability; vision language navigation; cross-modal application; cross-modal information extraction; mul…
1437	AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation Authors: Jiafei Duan; Wilbert Pumacay; Nishanth Kumar; Yi Ru Wang; Shulin Tian; Wentao Yuan; Ranjay Krishna; Dieter Fox; Ajay Mandlekar; Yijie Guo Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotic Manipulation; Data Generation; Vision-Language-Model; Failure Reasoning; Failure Detection; autonomy; planning
1438	AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning Authors: Yuanfei Wang; Xiaojie Zhang; Ruihai Wu; Yu Li; Yan Shen; Mingdong Wu; Zhaofeng He; Yizhou Wang; Hao Dong Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Articulated Object Manipulation; Adaptive Mechanism Environments; Imitation Learning; autonomy; planning
1439	AdaWM: Adaptive World Model based Planning for Autonomous Driving Authors: Hang Wang; Xin Ye; Feng Tao; Chenbin Pan; Abhirup Mallik; Burhaneddin Yaman; Liu Ren; Junshan Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: World Model; Autonomous Driving; Reinforcement Learning; autonomy; planning
1440	Agent S: An Open Agentic Framework that Uses Computers Like a Human Authors: Saaket Agashe; Jiuzhou Han; Shuyu Gan; Jiachen Yang; Ang Li; Xin Eric Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Large Vision and Language Model; Agents; Retrieval Augmented Generation; GUI; Large Language Models; Agent Computer Interface; autonomy; planning
1441	BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Authors: Keyi Shen; Jiangwei Yu; Jose Barreiros; Huan Zhang; Yunzhu Li Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotic Manipulation; Model-Based Planning; Neural Dynamics; Branch-and-Bound Method; autonomy; planning
1442	Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling Authors: Yuejiang Liu; Jubayer Ibn Hamid; Annie Xie; Yoonho Lee; Max Du; Chelsea Finn Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Learning; Action Chunking; Action Decoding; Test-Time Sampling; autonomy; planning
1443	Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems Authors: Fu Luo; Xi Lin; Yaoxin Wu; Zhenkun Wang; Tong Xialiang; Mingxuan Yuan; Qingfu Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Large-Scale Vehicle Routing Problem; autonomy; planning
1444	Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel Authors: Zun Wang; Jialu Li; Yicong Hong; Songze Li; Kunchang Li; Shoubin Yu; Yi Wang; Yu Qiao; Yali Wang; Mohit Bansal; Limin Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: vision-and-language navigation; data flywheel; dataset curation; autonomy; planning
1445	COMBO: Compositional World Models for Embodied Multi-Agent Cooperation Authors: Hongxin Zhang; Zeyuan Wang; Qiushi Lyu; Zheyuan Zhang; Sunli Chen; Tianmin Shu; Behzad Dariush; Kwonjoon Lee; Yilun Du; Chuang Gan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied AI; Multi-agent Planning; Compositional World Model; autonomy; planning
1446	CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation Authors: Jie Liu; Pan Zhou; Yingjun Du; Ah-Hwee Tan; Cees G. M. Snoek; Jan-Jakob Sonke; Efstratios Gavves Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied AI; multi-agent cooperation; LLM; autonomy; planning
1447	Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery Authors: Amin Abyaneh; Mahrokh Ghoddousi Boroujeni; Hsiu-Chin Lin; Giancarlo Ferrari-Trecate Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Learning from demonstration; Safe imitation learning; Robotics; Dynamical system; Contraction theory; autonomy; planning
1448	Cross-Embodiment Dexterous Grasping with Reinforcement Learning Authors: Haoqi Yuan; Bohan Zhou; Yuhui Fu; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: dexterous grasping; cross-embodiment learning; reinforcement learning; autonomy; planning
1449	DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding Authors: Henry Zheng; Hao Shi; Qihang Peng; Yong Xien Chng; Rui Huang; Yepeng Weng; zhongchao shi; Gao Huang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: 3D Visual Grounding; Embodied AI; Egocentric Vision; autonomy; planning
1450	DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References Authors: Xueyi Liu; Jianibieke Adalibieke; Qianwei Han; Yuzhe Qin; Li Yi Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Dexterous Manipulation; Neural Tracking Control; Homotopy Optimization; autonomy; planning
1451	DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent Authors: Taiyi Wang; Zhihao Wu; Jianheng Liu; Jianye HAO; Jun Wang; Kun Shao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Mobile Agent; LLM; Reinforcement Learning; Fine Tuning; Distributed Training; autonomy; planning
1452	Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination Authors: Leonardo Barcellona; Andrii Zadaianchuk; Davide Allegro; Samuele Papa; Stefano Ghidoni; Efstratios Gavves Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: World model; Imagination; Imitation Learning; Gaussian Splatting; Compositional; Physics-informed; Object-centric; autonomy; planning
1453	DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving Authors: Xiaosong Jia; Junqi You; Zhiyuan Zhang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: end-to-end autonomous driving; autonomy; planning
1454	EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation Authors: Carl Qi; Dan Haramati; Tal Daniel; Aviv Tamar; Amy Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Diffusion; Object-Centric Representation; Robotic Manipulation; autonomy; planning
1455	EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents Authors: Junting Chen; Checheng Yu; Xunzhe Zhou; Tianqi Xu; Yao Mu; Mengkang Hu; Wenqi Shao; Yikai Wang; Guohao Li; Lin Shao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied Artificial Intelligence; LLM Multi-agent System; Multi-robot System; Task Planning; autonomy; planning
1456	ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY Authors: Chenrui Tie; Yue Chen; Ruihai Wu; Boxuan Dong; Zeyi Li; Chongkai Gao; Hao Dong Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotics; Manipulation; Equivariance; autonomy; planning
1457	Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Authors: Moritz Reuss; Jyothish Pari; Pulkit Agrawal; Rudolf Lioutikov 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
1458	Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping Authors: Ziye Huang; Haoqi Yuan; Yuhui Fu; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: dexterous grasping; residual policy learning; reinforcement learning; autonomy; planning
1459	Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning Authors: Jiajun Chai; Sicheng Li; Yuqian Fu; Dongbin Zhao; Yuanheng Zhu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Large language models; Agent; Optimal decision-making; autonomy; planning
1460	EqNIO: Subequivariant Neural Inertial Odometry Authors: Royina Karegoudra Jayanth; Yinshuang Xu; Ziyun Wang; Evangelos Chatzipantazis; Kostas Daniilidis; Daniel Gehrig Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: equivariance; inertial odometry; subequivariance; autonomy; planning
1461	FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model Authors: Chongkai Gao; Haozhuo Zhang; Zhixuan Xu; Cai Zhehao; Lin Shao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: World Model; Long-Horizon Planning; Robot Manipulation; Flow Generation; autonomy; planning
1462	From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle Authors: Kaustubh Vyas; Damien Graux; Yijun Yang; Sebastien Montella; Chenxin Diao; Wendi Zhou; Pavlos Vougiouklis; Ruofei Lai; Yang Ren; Keshuang Li; Jeff Z. Pan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Deep Models; Planning; PDDL; Knowledge Graphs; Benchmark; Large Language Models; autonomy; planning
1463	GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation Authors: Hongyin Zhang; Pengxiang Ding; Shangke Lyu; Ying Peng; Donglin Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Manipulation; Vision Language Action Model; autonomy; planning
1464	Generalizable Motion Planning via Operator Learning Authors: Sharath Matada; Luke Bhan; Yuanyuan Shi; Nikolay Atanasov Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Motion planning; operator learning; value function approximation; Eikonal PDE; autonomy; planning
1465	GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation Authors: Yangtao Chen; Zixuan Chen; Junhui Yin; Jing Huo; Pinzhuo Tian; Jieqi Shi; Yang Gao Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: 3D Manipulation; imitation learning; foundation models; sub-goals; diffusion models; autonomy; planning
1466	HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation Authors: Yi Li; Yuquan Deng; Jesse Zhang; Joel Jang; Marius Memmel; Caelan Reed Garrett; Fabio Ramos; Dieter Fox; Anqi Li; Abhishek Gupta; Ankit Goyal Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: vision language model; cross-domain generalization; sim-to-real transfer; robot manipulation; vision language action model; autonomy; planning
1467	HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation Authors: Hanxiang Ren; Li Sun; Xulong Wang; Pei Zhou; Zewen Wu; Siyan Dong; Difan Zou; Youyi Zheng; Yanchao Yang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: hypernetwork; policy generation; behavior cloning; autonomy; planning
1468	ImagineNav: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination Authors: Xinxin Zhao; Wenzhe Cai; Likun Tang; Teng Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robotics; Visual Navigation; Vision-Language Model; Scene Imagination; autonomy; planning
1469	Interactive Adjustment for Human Trajectory Prediction with Individual Feedback Authors: Jianhua Sun; Yuxuan Li; Liang Chai; Cewu Lu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Human Trajectory Prediction; autonomy; planning
1470	LLaRA: Supercharging Robot Learning Data for Vision-Language Policy Authors: Xiang Li; Cristina Mata; Jongwoo Park; Kumara Kahatapitiya; Yoo Sung Jang; Jinghuan Shang; Kanchana Ranasinghe; Ryan D Burgert; Mu Cai; Yong Jae Lee; Michael S Ryoo Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Learning; VLM; Behavior Cloning; Instruction Tuning; Self-supervised Learning; autonomy; planning
1471	Language Agents Meet Causality – Bridging LLMs and Causal World Models Authors: John Gkountouras; Matthias Lindemann; Phillip Lippe; Efstratios Gavves; Ivan Titov Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Large Language Models; Causality; Causal Representation Learning; Language Agents; Planning; autonomy; planning
1472	Latent Action Pretraining from Videos Authors: Seonghyeon Ye; Joel Jang; Byeongguk Jeon; Se June Joo; Jianwei Yang; Baolin Peng; Ajay Mandlekar; Reuben Tan; Yu-Wei Chao; Bill Yuchen Lin; Lars Liden; Kimin Lee; Jianfeng Gao; Lu… 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; autonomy; planning
1473	Learning Geometric Reasoning Networks For Robot Task And Motion Planning Authors: Smail Ait Bouhsain; Rachid Alami; Thierry Simeon Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Graph Neural Networks; Deep Learning for Robotics; Task and Motion Planning; Robot Manipulation Planning; autonomy; planning
1474	Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation Authors: Huan Ren; Wenfei Yang; Xiang Liu; Shifeng Zhang; Tianzhu Zhang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: category-level object pose estimation; spherical representations; shape-independence; correspondence prediction; autonomy; planning
1475	Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents Authors: Dongjun Lee; Juyong Lee; Kyuyoung Kim; Jihoon Tack; Jinwoo Shin; Yee Whye Teh; Kimin Lee Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Large Language Models; LLM agent; Web automation; autonomy; planning
1476	Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning Authors: Yunyue Wei; Shanning Zhuang; Vincent Zhuang; Yanan Sui Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Model predictive control; High-dimensional embodied system; autonomy; planning
1477	Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving Authors: Peidong Li; Dixiao Cui Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: End-to-End; Autonomous Driving; Sparse Scene Representation; autonomy; planning
1478	NextBestPath: Efficient 3D Mapping of Unseen Environments Authors: Shiyao Li; Antoine Guedon; Clémentin Boittiaux; Shizhe Chen; Vincent Lepetit Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: 3D reconstruction; active mapping; autonomy; planning
1479	OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning Authors: Xiaoqiang Wang; Bang Liu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Large Language Model; Autonomous Agent; Graphical User Interface; autonomy; planning
1480	OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework Authors: Junliang Chen; Huaiyuan Xu; Yi Wang; Lap-Pui Chau Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: camera-only occupancy forecasting; efficiency; effectiveness; autonomous driving; autonomy; planning
1481	Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Authors: Devdhar Patel; Hava T Siegelmann Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Decision Frequency; Action Sequence Generation; Model-Based Training; Model-Free Control; Efficient Learning; Reinforcement Learning; autonomy; planning
1482	PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks Authors: Matthew Chang; Gunjan Chhablani; Alexander Clegg; Mikael Dallaire Cote; Ruta Desai; Michal Hlavac; Vladimir Karashchuk; Jacob Krantz; Roozbeh Mottaghi; Priyam Parashar; Siddharth… Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Human-Robot Collaboration; Planning; Embodied AI; autonomy; planning
1483	Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Authors: Ruiqi Ni; zherong pan; Ahmed H Qureshi Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot motion planning; Eikonal Equation; Physics-informed Neural Networks; Temporal Difference Learning; Metric Learning; autonomy; planning
1484	RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation Authors: Songming Liu; Lingxuan Wu; Bangguo Li; Hengkai Tan; Huayu Chen; Zhengyi Wang; Ke Xu; Hang Su; Jun Zhu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: robot learning; diffusion models; foundation models; bimanual manipulation; autonomy; planning
1485	Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning Authors: Patrick Yin; Tyler Westenbroek; Ching-An Cheng; Andrey Kolobov; Abhishek Gupta Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Learning; Reinforcement Learning; Fine-Tuning; autonomy; planning
1486	Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? Authors: Charles Dawson; Van Tran; Max Z. Li; Chuchu Fan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: rare event modeling; normalizing flows; Bayesian inverse problems; autonomy; planning
1487	ReGen: Generative Robot Simulation via Inverse Design Authors: Phat Tan Nguyen; Tsun-Hsuan Wang; Zhang-Wei Hong; Erfan Aasi; Andrew Silva; Guy Rosman; Sertac Karaman; Daniela Rus Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: generative simulation; robot; autonomous driving; large language model; inverse design; autonomy; planning
1488	Residual-MPPI: Online Policy Customization for Continuous Control Authors: Pengcheng Wang; Chenran Li; Catherine Weaver; Kenta Kawamoto; Masayoshi Tomizuka; Chen Tang; Wei Zhan Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Policy customization; Combination of learning- and planning-based approaches; Model predictive control; autonomy; planning
1489	Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets Authors: Guangqi Jiang; Yifei Sun; Tao Huang; Huanyu Li; Yongyuan Liang; Huazhe Xu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Robot Learning; Foundation Model; Representation Learning; autonomy; planning
1490	SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects Authors: Jiayi Liu; Denys Iliash; Angel X Chang; Manolis Savva; Ali Mahdavi Amiri Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: 3D articulated objects creation; generative model; autonomy; planning
1491	SPA: 3D Spatial-Awareness Enables Effective Embodied Representation Authors: Haoyi Zhu; Honghui Yang; Yating Wang; Jiange Yang; Limin Wang; Tong He Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: embodied AI; representation learning; 3D spatial awareness; multi-view image; robot manipulation; neural rendering; autonomy; planning
1492	STAMP: Scalable Task- And Model-agnostic Collaborative Perception Authors: Xiangbo Gao; Runsheng Xu; Jiachen Li; Ziran Wang; Zhiwen Fan; Zhengzhong Tu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; Collaborative Perception; Domain Adaptation; autonomy; planning
1493	STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes Authors: Jiawei Yang; Jiahui Huang; Boris Ivanovic; Yuxiao Chen; Yan Wang; Boyi Li; Yurong You; Apoorva Sharma; Maximilian Igl; Peter Karkus; Danfei Xu; Yue Wang; Marco Pavone Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: autonomous driving; reconstruction model; spatiotemporal; autonomy; planning
1494	STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning Authors: Marius Memmel; Jacob Berg; Bingqing Chen; Abhishek Gupta; Jonathan Francis Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: dynamic time warping; few-shot imitation learning; retrieval; foundation models; autonomy; planning
1495	SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement Authors: Antonis Antoniades; Albert Örwall; Kexun Zhang; Yuxi Xie; Anirudh Goyal; William Yang Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: agents; LLM; SWE-agents; SWE-bench; search; planning; reasoning; self-improvement; open-ended; autonomy; planning
1496	Simulating Human-like Daily Activities with Desire-driven Autonomy Authors: Yiding Wang; Yuxuan Chen; Fangwei Zhong; Long Ma; Yizhou Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: desire; autonomy; daily activities; autonomy; planning
1497	Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes Authors: Jianqi Chen; Panwen Hu; Xiaojun Chang; Zhenwei Shi; Michael Kampffmeyer; Xiaodan Liang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Human Motion Synthesis; Human-Human Interaction; Physically Compliant Motion; Creative Workflow Automation; autonomy; planning
1498	SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction Authors: Yang Zhou; Hao Shao; Letian Wang; Steven L. Waslander; Hongsheng Li; Yu Liu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Motion Prediction; Trajectory Prediction; Autonomous Driving; Self-Supervised Learning; autonomy; planning
1499	Subtask-Aware Visual Reward Learning from Segmented Demonstrations Authors: Changyeon Kim; Minho Heo; Doohyun Lee; Honglak Lee; Jinwoo Shin; Joseph J Lim; Kimin Lee Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reward Learning; Robotic Manipulation; autonomy; planning
1500	ThinkBot: Embodied Instruction Following with Thought Chain Reasoning Authors: Guanxing Lu; Ziwei Wang; Changliu Liu; Jiwen Lu; Yansong Tang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Embodied Instruction Following (EIF); Large Language Model; Chain-of-thought Reasoning; autonomy; planning
1501	Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology Authors: Xiangyu Wang; Donglin Yang; Ziqin Wang; Hohin Kwan; Jinyu Chen; Wenjun Wu; Hongsheng Li; Yue Liao; Si Liu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Unmanned Aerial Vehicle; Drone; Vision-Language Navigation; autonomy; planning
1502	UniDrive: Towards Universal Driving Perception Across Camera Configurations Authors: Ye Li; Wenzhao Zheng; Xiaonan Huang; Kurt Keutzer Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Autonomous Driving; 3D Detection; Sensor Configuration; autonomy; planning
1503	VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation Authors: Wei Zhao; Pengxiang Ding; Zhang Min; Zhefei Gong; Shuanghao Bai; Han Zhao; Donglin Wang Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Vision-Language-Action Model; Speech Instructions; Robot Manipulation; autonomy; planning
1504	Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation Authors: Hyungjoo Chae; Namyoung Kim; Kai Tzu-iunn Ong; Minju Gwak; Gwanwoo Song; Jihoon Kim; Sunghwan Kim; Dongha Lee; Jinyoung Yeo Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Web Agent; World Model; Digital Agent; Planning; LLM; autonomy; planning
1505	What Matters in Learning from Large-Scale Datasets for Robot Manipulation Authors: Vaibhav Saxena; Matthew Bronars; Nadun Ranawaka Arachchige; Kuancheng Wang; Woo Chul Shin; Soroush Nasiriany; Ajay Mandlekar; Danfei Xu Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: imitation learning; robotics; dataset composition; autonomy; planning
1506	What's the Move? Hybrid Imitation Learning via Salient Points Authors: Priya Sundaresan; Hengyuan Hu; Quan Vuong; Jeannette Bohg; Dorsa Sadigh Affiliation: 官方页面未列出 Official area / track: applications to robotics, autonomy, planning Recognition: Poster/Regular Keywords: Imitation Learning; Robot Learning; Robot Manipulation; Robotics; autonomy; planning
1507	A Conditional Independence Test in the Presence of Discretization Authors: Boyang Sun; Yu Yao; Guang-Yuan Hao; Yumou Qiu; Kun Zhang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Conditional Independence Test; Discretization; Causal Discovery
1508	A Robust Method to Discover Causal or Anticausal Relation Authors: Yu Yao; Yang Zhou; Bo Han; Mingming Gong; Kun Zhang; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Trustworthy Machine Learning; Semi-Superivsed Learning; Causality
1509	A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery Authors: Yingyu Lin; Yuxing Huang; Wenqin Liu; Haoran Deng; Ignavier Ng; Kun Zhang; Mingming Gong; Yian Ma; Biwei Huang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Discovery; Heteroscedastic Noise; Score Matching
1510	Analytic DAG Constraints for Differentiable DAG Learning Authors: Zhen Zhang; Ignavier Ng; Dong Gong; Yuhang Liu; Mingming Gong; Biwei Huang; Kun Zhang; Anton van den Hengel; Javen Qinfeng Shi Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: DAG; Causal Discovery; Structural Learning
1511	Causal Discovery via Bayesian Optimization Authors: Bao Duong; Sunil Gupta; Thin Nguyen Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal discovery; causal structure learning; bayesian optimization
1512	Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables Authors: Yaochen Zhu; Jing Ma; Liang Wu; Qi Guo; Liangjie Hong; Jundong Li Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal effect estimation; latent post-treatment bias; identifiable VAE
1513	Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference Authors: Anpeng Wu; Haiyi Qiu; Zhengming Chen; Zijian Li; Ruoxuan Xiong; Fei Wu; Kun Zhang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Graph Transformer; Networked Interference; Unknown Interference Graph; Peer Effects; Treatment Effects Estimation
1514	Causal Identification for Complex Functional Longitudinal Studies Authors: Andrew Ying Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Inference; Stochastic Process; Longitudinal Data; Functional Data; Continuous Time.
1515	Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference Authors: Aniket Vashishtha; Abbavaram Gowtham Reddy; Abhinav Kumar; Saketh Bachu; Vineeth N. Balasubramanian; Amit Sharma Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Order; Imperfect Experts; Causal Inference; LLMs
1516	Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets Authors: Yuxin Wang; Maresa Schröder; Dennis Frauen; Jonas Schweisthal; Konstantin Hess; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causality machine learning; Average treatment effects; Confidence intervals; Prediction-powered inference
1517	Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm Authors: Mathieu Chevalley; Patrick Schwab; Arash Mehrjou Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causality; causal inference; causal discovery; interventional data; single-variable interventions; causal structure learning
1518	Differentiable Causal Discovery for Latent Hierarchical Causal Models Authors: Parjanya Prajakta Prashant; Ignavier Ng; Kun Zhang; Biwei Huang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Differentiable causal discovery; causal representation learning; latent variable models; causal structure learning; causal identifiability
1519	Differentially private learners for heterogeneous treatment effects Authors: Maresa Schröder; Valentyn Melnychuk; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causality; differential privacy; treatment effect estimation
1520	Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark Authors: Haining Yu; Yizhou Sun Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal inference
1521	DyCAST: Learning Dynamic Causal Structure from Time Series Authors: Yue Cheng; Bochen Lyu; Weiwei Xing; Zhanxing Zhu Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: dynamic causal discovery; time series
1522	Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models Authors: Haotian Wang; Haoxuan Li; Hao Zou; Haoang Chi; Long Lan; Wanrong Huang; Wenjing Yang Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Time Series; State-space Models; Treatment Effect Estimation
1523	Efficient Causal Decision Making with One-sided Feedback Authors: Jianing Chu; Shu Yang; Wenbin Lu; PULAK GHOSH Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: semiparametric efficiency; one-sided feedback; causal decision making
1524	Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations Authors: Xiu-Chuan Li; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal discovery; latent variables; complex causal relations
1525	From Probability to Counterfactuals: the Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy Authors: Julian Dörfler; Benito van der Zander; Markus Bläser; Maciej Liskiewicz Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: complexity; causal reasoning; Pearl's Causal Hierarchy
1526	Gaussian Mixture Counterfactual Generator Authors: Jong-Hoon Ahn; Akshay Vashist Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Gaussian mixture model; synthetic data generation; clinical trial; individual treatment effect; counterfactual generation
1527	Incremental Causal Effect for Time to Treatment Initialization Authors: Andrew Ying; Zhichen Zhao; Ronghui Xu Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causal Inference; Positivity; Incremental intervention; Incremental Causal Effect; Inverse probability weighting
1528	Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Authors: Dennis Frauen; Konstantin Hess; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal inference; treatment effect estimation; CATE; doubly robust learning
1529	Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates Authors: Xiu-Chuan Li; Jun Wang; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal discovery; latent variables
1530	Robust Root Cause Diagnosis using In-Distribution Interventions Authors: Lokesh Nagalapatti; Ashutosh Srivastava; Sunita Sarawagi; Amit Sharma Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Root Cause Diagnosis; Causal Inference; Interventional RCD
1531	Stabilized Neural Prediction of Potential Outcomes in Continuous Time Authors: Konstantin Hess; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: causal inference; potential outcomes; continuous time; treatment effects; inverse propensity weighting; confounding; medicine
1532	Standardizing Structural Causal Models Authors: Weronika Ormaniec; Scott Sussex; Lars Lorch; Bernhard Schölkopf; Andreas Krause Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: Causality; Causal Discovery; Structural Causal Model; Standardized Structural Causal Model; Variance Artifact; Covariance Artifact; Simulation; Benchmark
1533	Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do Authors: Yoav Wald; Mark Goldstein; Yonathan Efroni; Wouter A.C. van Amsterdam; Rajesh Ranganath Affiliation: 官方页面未列出 Official area / track: causal reasoning Recognition: Poster/Regular Keywords: effect estimation; treatment times; irregular times; sequential decision making
1534	$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos Authors: Zhaoyu Liu; Kan Jiang; Murong Ma; Zhe Hou; Yun Lin; Jin Song Dong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: temporal event spotting; fine-grained video understanding; video analytics
1535	A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation Authors: Can Rong; Jingtao Ding; Yan Liu; Yong Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Commuting; origin-destination flow dataset; urban computing; weighted graph modeling
1536	A-Bench: Are LMMs Masters at Evaluating AI-generated Images? Authors: Zicheng Zhang; Haoning Wu; Chunyi Li; Yingjie Zhou; Wei Sun; Xiongkuo Min; Zijian Chen; Xiaohong Liu; Weisi Lin; Guangtao Zhai Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large multi-modal models; AI-generated images; Benchmark
1537	AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements Authors: Adriana Eufrosina Bora; Pierre-Luc St-Charles; Mirko Bronzi; Arsene Fansi Tchango; Bruno Rousseau; Kerrie Mengersen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: natural language processing; modern slavery; corporate statements; benchmark; text extraction; large language models
1538	API Pack: A Massive Multi-Programming Language Dataset for API Call Generation Authors: Zhen Guo; Adriana Meza Soria; Wei Sun; Yikang Shen; Rameswar Panda Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Instruction Datasets; Tool Datasets; API Datasets; Code Datasets; Synthetic Data Generation
1539	AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models Authors: Kim Sung-Bin; Oh Hyun-Bin; JungMok Lee; Arda Senocak; Joon Son Chung; Tae-Hyun Oh Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-modal Large Language Models; Hallucination in Large Language Models; Audio-visual Learning
1540	Accelerating neural network training: An analysis of the AlgoPerf competition Authors: Priya Kasimbeg; Frank Schneider; Runa Eschenhagen; Juhan Bae; Chandramouli Shama Sastry; Mark Saroufim; BOYUAN FENG; Less Wright; Edward Z. Yang; Zachary Nado; Sourabh Medapati; P… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Training algorithms; optimizers; benchmark; competition; neural network; training
1541	ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints Authors: Divij Handa; Pavel Dolin; Shrinidhi Kumbhar; Tran Cao Son; Chitta Baral Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Reasoning about Actions and Change (RAC); Benchmark; Large Language Models (LLMs)
1542	Active Learning for Neural PDE Solvers Authors: Daniel Musekamp; Marimuthu Kalimuthu; David Holzmüller; Makoto Takamoto; Mathias Niepert Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Active Learning; Neural PDE Solvers; Scientific Machine Learning; Benchmark; Framework; Neural Operators
1543	Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents Authors: Hanrong Zhang; Jingyuan Huang; Kai Mei; Yifei Yao; Zhenting Wang; Chenlu Zhan; Hongwei Wang; Yongfeng Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI agents; Large Language Model; Benchmark; Prompt Injection Attacks; Backdoor Attack; Defenses
1544	Aligning Human Motion Generation with Human Perceptions Authors: Haoru Wang; Wentao Zhu; Luyi Miao; Yishu Xu; Feng Gao; Qi Tian; Yizhou Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Human Motion Generation
1545	AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents Authors: Christopher Rawles; Sarah Clinckemaillie; Yifan Chang; Jonathan Waltz; Gabrielle Lau; Marybeth Fair; Alice Li; William E Bishop; Wei Li; Folawiyo Campbell-Ajala; Daniel Kenji Toya… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Computer Control; Autonomous Agents; LLMs; Multimodal
1546	Are Large Vision Language Models Good Game Players? Authors: Xinyu Wang; Bohan Zhuang; Qi Wu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Vision Language Models; LLMs; Evaluation; Game
1547	Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling Authors: Louis Bradshaw; Simon Colton Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: music; symbolic music; piano transcription; dataset; midi
1548	AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark Authors: Wenhao Chai; Enxin Song; Yilun Du; Chenlin Meng; Vashisht Madhavan; Omer Bar-Tal; Jenq-Neng Hwang; Saining Xie; Christopher D Manning Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Video Captioning; Benchmark; Multimodel Large Language Model
1549	Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks Authors: Rushang Karia; Daniel Richard Bramblett; Daksh Dobhal; Siddharth Srivastava Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Logical Reasoning; Autoformalization; Informalization; Formal Translation; Truth Maintenance
1550	BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games Authors: Davide Paglieri; Bartłomiej Cupiał; Samuel Coward; Ulyana Piterbarg; Maciej Wolczyk; Akbir Khan; Eduardo Pignatelli; Łukasz Kuciński; Lerrel Pinto; Rob Fergus; Jakob Nicolaus Foer… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; VLM; Agents; Benchmark; RL; Reasoning; Games
1551	BenTo: Benchmark Reduction with In-Context Transferability Authors: Hongyu Zhao; Ming Li; Lichao Sun; Tianyi Zhou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: transfer learning; language model; benchmark reduction
1552	Benchmarking Agentic Workflow Generation Authors: Shuofei Qiao; Runnan Fang; Zhisong Qiu; Xiaobin Wang; Ningyu Zhang; Yong Jiang; Pengjun Xie; Fei Huang; Huajun Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: workflow generation; graph structured planning; large language model; agent
1553	Benchmarking LLMs' Judgments with No Gold Standard Authors: Shengwei Xu; Yuxuan Lu; Grant Schoenebeck; Yuqing Kong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmarking; Peer Review; Mutual Information; Data Contamination; Large Language Models
1554	Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models Authors: Jianqun Zhou; Yuanlei Zheng; Wei Chen; Qianqian Zheng; Shang Zeyuan; Wei Zhang; Rui Meng; Xiaoyu Shen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; Instruction-Following; Retrieval Model; Benchmark
1555	Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? Authors: Yifan Feng; Chengwu Yang; Xingliang Hou; Shaoyi Du; Shihui Ying; Zongze Wu; Yue Gao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLMs; Hypergraph; Benchmark
1556	Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Authors: Junjie Xu; Artem Moskalev; Tommaso Mansi; Mangal Prakash; Rui Liao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Geometric deep learning; Graph Neural Networks; GNNs; RNA property prediction; Datasets and Benchmarks
1557	BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis Authors: Tiankuo Chu; Fudong Lin; Shubo Wang; Jason Jiang; Wiley Jia-Wei Gong; Xu Yuan; Liyun Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Medical Dataset; Breast Cancer Bone Metastasis; Diagnosis; Prognosis; Sparse CT reconstruction; CT; X-ray; Large language model; AI for Science
1558	Bridging the Data Provenance Gap Across Text, Speech, and Video Authors: Shayne Longpre; Nikhil Singh; Manuel Cherep; Kushagra Tiwary; Joanna Materzynska; William Brannon; Robert Mahari; Naana Obeng-Marnu; Manan Dey; Mohammed Hamdy; Nayan Saxena; Ahmad… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: training data; audit; speech; video; text
1559	CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding Authors: Guo Chen; Yicheng Liu; Yifei Huang; Baoqi Pei; Jilan Xu; Yuping He; Tong Lu; Yali Wang; Limin Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Long Video Understanding
1560	CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models Authors: Shengzhuang Chen; Yikai Liao; Xiaoxiao Sun; Kede Ma; Ying Wei Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: continual learning; dynamic benchmarking
1561	CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery Authors: Xiaoshuai Song; Muxi Diao; Guanting Dong; Zhengyang Wang; Yujia Fu; Runqi Qiao; Zhexu Wang; Dayuan Fu; Huangxuan Wu; Bin Liang; Weihao Zeng; Yejie Wang; Zhuoma GongQue; Jianing Yu… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large language model; evaluation; computer science
1562	CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness Authors: Khyathi Chandu; Linjie Li; Anas Awadalla; Ximing Lu; Jae Sung Park; Jack Hessel; Lijuan Wang; Yejin Choi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: multimodal; refusals; hallucinations
1563	ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation Authors: Cheng Yang; Chufan Shi; Yaxin Liu; Bo Shui; Junjie Wang; Mohan Jing; Linran XU; Xinyu Zhu; Siheng Li; Yuxiang Zhang; Gongye Liu; Xiaomei Nie; Deng Cai; Yujiu Yang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Dataset and Benchmark; Code generation; Chart Understand and Reasoning
1564	ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains Authors: Yein Park; Chanwoong Yoon; Jungwoo Park; Donghyeon Lee; Minbyul Jeong; Jaewoo Kang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Temporal knowledge; Knowledge update
1565	ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models Authors: Veeramakali Vignesh Manivannan; Yasaman Jafari; Srikar Eranky; Spencer Ho; Rose Yu; Duncan Watson-Parris; Yian Ma; Leon Bergen; Taylor Berg-Kirkpatrick Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Climate Benchmark; Scientific Foundation Models; Scientific Question Answering; Large Language Models; Automated QA generation
1566	CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs Authors: Dung Manh Nguyen; Thang Chau Phan; Nam Le Hai; Tien-Thong Doan; Nam V. Nguyen; Quang Pham; Nghi D. Q. Bui Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; CodeLLM; Benchmark; Evaluate; Code Comprehension
1567	CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark Authors: Jian Wu; Linyi Yang; Zhen Wang; Manabu Okumura; Yue Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM evaluation; Multi-hop QA evaluation
1568	Commit0: Library Generation from Scratch Authors: Wenting Zhao; Nan Jiang; Celine Lee; Justin T Chiu; Claire Cardie; Matthias Gallé; Alexander M Rush Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: code generation; language model; evaluation; feedback
1569	ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments Authors: Hojae Han; seung-won hwang; Rajhans Samdani; Yuxiong He Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large language models; Multi-turn code generation; Benchmark
1570	DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? Authors: Liqiang Jing; Zhehui Huang; Xiaoyang Wang; Wenlin Yao; Wenhao Yu; Kaixin Ma; Hongming Zhang; Xinya Du; Dong Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: data science; agent; benchmark; llm
1571	DiscoveryBench: Towards Data-Driven Discovery with Large Language Models Authors: Bodhisattwa Prasad Majumder; Harshit Surana; Dhruv Agarwal; Bhavana Dalvi Mishra; Abhijeetsingh Meena; Aryan Prakhar; Tirth Vora; Tushar Khot; Ashish Sabharwal; Peter Clark Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: scientific discovery; data-driven discovery; data analysis; large language models; hypothesis generation; hypothesis verification
1572	Do Large Language Models Truly Understand Geometric Structures? Authors: Xiaofeng Wang; Yiming Wang; Wenhong Zhu; Rui Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Geometric Ability Evaluation; Geometric Relationship Identification
1573	DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation Authors: Yuang Peng; Yuxin Cui; Haomiao Tang; Zekun Qi; Runpei Dong; Jing Bai; Chunrui Han; Zheng Ge; Xiangyu Zhang; Shu-Tao Xia Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: personalized image generation; subject-driven image generation; personalization; image generation; benchmarking; human-aligned evaluation
1574	Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks Authors: Chien-yu Huang; Wei-Chih Chen; Shu-wen Yang; Andy T. Liu; Chen-An Li; Yu-Xiang Lin; Wei-Cheng Tseng; Anuj Diwan; Yi-Jen Shih; Jiatong Shi; William Chen; Chih-Kai Yang; Xuanjun Che… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: speech; music; audio; benchmark; large language model; spoken language model
1575	Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs Authors: Jie Zhang; Zhongqi Wang; Mengqi Lei; Zheng Yuan; Bei Yan; Shiguang Shan; Xilin Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Large Vision language Model; Perception Ability
1576	Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective Authors: Xiangru Zhu; Penglei Sun; Yaoxian Song; Yanghua Xiao; Zhixu Li; Chengyu Wang; Jun Huang; Bei Yang; Xiaoxiao Xu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: text-to-image synthesis; semantics; evaluation; metric
1577	Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning Authors: Mingyang Chen; sunhaoze; Tianpeng Li; Fan Yang; Hao Liang; KeerLu; Bin CUI; Wentao Zhang; Zenan Zhou; weipeng chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large language model; function calling; instruction tuning; synthetic data
1578	Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement Authors: Bryan Bo Cao; Lawrence O'Gorman; Michael Coss; Shubham Jain Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Few-Class; lightweight; small neural network; benchmark; scaling law; image similarity; convolutional neural network; CNN; transformer
1579	ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities Authors: Ezra Karger; Houtan Bastani; Chen Yueh-Han; Zachary Jacobs; Danny Halawi; Fred Zhang; Philip Tetlock Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: language models; evaluation; benchmark; forecasting; LLM; decision-making; datasets
1580	GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS Authors: Saman Kazemkhani; Aarav Pandya; Daphne Cornelisse; Brennan Shacklett; Eugene Vinitsky Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Simulation; benchmark; multi-agent reinforcement learning; autonomous vehicles; planning
1581	GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding Authors: Dongping Chen; Yue Huang; Siyuan Wu; Jingyu Tang; Huichi Zhou; Qihui Zhang; Zhigang He; Yilin Bai; Chujie Gao; Liuyi Chen; Yiqiang Li; Chenlong Wang; Yue Yu; Tianshuo Zhou; Zhen L… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: GUI; GUI Agent; Multimodal Large Language Model; Benchmark; Dataset; Video LLM; Instruction Tuning
1582	GameArena: Evaluating LLM Reasoning through Live Computer Games Authors: Lanxiang Hu; Qiyu Li; Anze Xie; Nan Jiang; Ion Stoica; Haojian Jin; Hao Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; LLM evaluation
1583	General Scene Adaptation for Vision-and-Language Navigation Authors: Haodong Hong; Yanyuan Qiao; Sen Wang; Jiajun Liu; Qi Wu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: vision-and-language navigation; scene adaptation; multi-modal learning
1584	GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction Authors: Si Chen; Richong Zhang; Xu Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: dataset; inductive logic programming; rule induction; neuro-symbolic methods
1585	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Authors: Minghao Xu; Yunteng Geng; Yihang Zhang; Ling Yang; Jian Tang; Wentao Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Glycan Machine Learning; Representation Learning; Multi-Task Learning
1586	Graph-based Document Structure Analysis Authors: Yufan Chen; Ruiping Liu; Junwei Zheng; Di Wen; Kunyu Peng; Jiaming Zhang; Rainer Stiefelhagen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Document Structure Analysis; Document Layout Analysis; Document Relational Graph
1587	HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics Authors: Jingxuan Fan; Sarah Martinson; Erik Y. Wang; Kaylie Hausknecht; Jonah Brenner; Danxian Liu; Nianli Peng; Corey Wang; Michael Brenner Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: math; benchmark; dataset; few-shot learning; reasoning
1588	HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents Authors: Tristan Tomilin; Meng Fang; Mykola Pechenizkiy Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: reinforcement learning; AI safety; safe RL; constrained RL; benchmark; vizdoom; 3D; difficulty levels
1589	HELMET: How to Evaluate Long-context Models Effectively and Thoroughly Authors: Howard Yen; Tianyu Gao; Minmin Hou; Ke Ding; Daniel Fleischer; Peter Izsak; Moshe Wasserblat; Danqi Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: long-context language models; benchmarking
1590	HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing Authors: Mude Hui; Siwei Yang; Bingchen Zhao; Yichun Shi; Heng Wang; Peng Wang; Cihang Xie; Yuyin Zhou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Image-to-image translation; Image Editing
1591	HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting Authors: Nian Ran; Peng Xiao; Yue Wang; Wesley Shi; Jianxin Lin; Qi Meng; Richard Allmendinger Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Weather Forecast Dataset; Extreme Weather; Deep Learning; Numerical Weather Prediction
1592	Harnessing Webpage UIs for Text-Rich Visual Understanding Authors: Junpeng Liu; Tianyue Ou; Yifan Song; Yuxiao Qu; Wai Lam; Chenyan Xiong; Wenhu Chen; Graham Neubig; Xiang Yue Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal; Instruction-tuning; Large Language Model
1593	HelpSteer2-Preference: Complementing Ratings with Preferences Authors: Zhilin Wang; Alexander Bukharin; Olivier Delalleau; Daniel Egert; Gerald Shen; Jiaqi Zeng; Oleksii Kuchaiev; Yi Dong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: reward modelling; rlhf; model alignment
1594	Herald: A Natural Language Annotated Lean 4 Dataset Authors: Guoxiong Gao; Yutong Wang; Jiedong Jiang; Qi Gao; Zihan Qin; Tianyi Xu; Bin Dong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Lean 4; Autoformalizing; LLM; Retrieval Augmented Generation; Dataset
1595	Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data Authors: Seiji Maekawa; Hayate Iso; Nikita Bhutani Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: long-context; reasoning; LLM
1596	How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension Authors: Xinnan Dai; Haohao Qu; Yifei Shen; Bohang Zhang; Qihao Wen; Wenqi Fan; Dongsheng Li; Jiliang Tang; Caihua Shan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large language models; graph pattern; graph mining
1597	How efficient is LLM-generated code? A rigorous & high-standard benchmark Authors: Ruizhong Qiu; Weiliang Will Zeng; James Ezick; Christopher Lott; Hanghang Tong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Model; Code Generation; Efficiency Evaluation
1598	How to Evaluate Reward Models for RLHF Authors: Evan Frick; Tianle Li; Connor Chen; Wei-Lin Chiang; Anastasios Nikolas Angelopoulos; Jiantao Jiao; Banghua Zhu; Joseph E. Gonzalez; Ion Stoica Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: RLHF; RL; Reward Model; LLM; Benchmark; Dataset; Evaluation
1599	Human Simulacra: Benchmarking the Personification of Large Language Models Authors: Qiujie Xie; Qiming Feng; Tianqi Zhang; Qingqiu Li; Linyi Yang; Yuejie Zhang; Rui Feng; Liang He; Shang Gao; Yue Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Human simulation
1600	ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset Authors: Kartik Thakral; Rishabh Ranjan; Akanksha Singh; Akshat Jain; Mayank Vatsa; Richa Singh Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-modal; Multi-Lingual; Deepfake; AIGC
1601	InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation Authors: Gaurav Sahu; Abhay Puri; Juan A. Rodriguez; Amirhossein Abaskohi; Mohammad Chegini; Alexandre Drouin; Perouz Taslakian; Valentina Zantedeschi; Alexandre Lacoste; David Vazquez; Ni… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Automated Data Analysis; Data Analytics Benchmark; LLM agents; Code Generation; LLM Evaluation
1602	Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention Authors: Weitai Kang; Mengxue Qu; Jyoti Kini; Yunchao Wei; Mubarak Shah; Yan Yan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: 3D Visual Grounding; 3D Multimodal Learning
1603	IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning Authors: Vindula Jayawardana; Baptiste Freydt; Ao Qu; Cameron Hickert; Zhongxia Yan; Cathy Wu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: reinforcement learning; generalization; benchmarking; eco-driving
1604	InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Authors: Xiaoxuan Hou; Jiayi Yuan; Joel Z Leibo; Natasha Jaques Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; climate change; ai for climate
1605	JudgeBench: A Benchmark for Evaluating LLM-Based Judges Authors: Sijun Tan; Siyuan Zhuang; Kyle Montgomery; William Yuan Tang; Alejandro Cuadron; Chenguang Wang; Raluca Popa; Ion Stoica Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmark; llm-based judges; llm-as-a-judge; reward models
1606	K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models Authors: Jaehyung Seo; Heuiseok Lim Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Hallucination; Benchmark dataset; Multiple answer; Korean; Large language model
1607	KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks Authors: Kaijing Ma; Xeron Du; Yunran Wang; Haoran Zhang; ZhoufutuWen; Xingwei Qu; Jian Yang; Jiaheng Liu; minghao liu; Xiang Yue; Wenhao Huang; Ge Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Reasoning; Knowledge-Orthogonal; Rule-Based
1608	Large Language Models Often Say One Thing and Do Another Authors: Ruoxi Xu; Hongyu Lin; Xianpei Han; Jia Zheng; Weixiang Zhou; Le Sun; Yingfei Sun Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: corpus creation; benchmarking; language resources; NLP datasets; evaluation; metrics; consistency
1609	Law of the Weakest Link: Cross Capabilities of Large Language Models Authors: Ming Zhong; Aston Zhang; Xuewei Wang; Rui Hou; Wenhan Xiong; Chenguang Zhu; Zhengxing Chen; Liang Tan; Chloe Bi; Mike Lewis; Sravya Popuri; Sharan Narang; Melanie Kambadur; Dhruv… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Cross Capability; Law of the Weakest Link; Evaluation; Large Langauge Models; Benchmark
1610	Lawma: The Power of Specialization for Legal Annotation Authors: Ricardo Dominguez-Olmedo; Vedant Nanda; Rediet Abebe; Stefan Bechtold; Christoph Engel; Jens Frankenreiter; Krishna P. Gummadi; Moritz Hardt; Michael Livermore Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large language models; legal classification tasks; benchmarks
1611	Learning Interleaved Image-Text Comprehension in Vision-Language Large Models Authors: Chenyu Zhou; Mengdan Zhang; Peixian Chen; Chaoyou Fu; Yunhang Shen; Xiawu Zheng; Xing Sun; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MLLMs; Benchmark; Interleaved Image-Text Comprehension
1612	LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Authors: Naman Jain; King Han; Alex Gu; Wen-Ding Li; Fanjia Yan; Tianjun Zhang; Sida Wang; Armando Solar-Lezama; Koushik Sen; Ion Stoica Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Code LLMs; Evaluation; Contaminationl; Overfitting
1613	LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content Authors: Nimrod Shabtay; Felipe Maia Polo; Sivan Doveh; Wei Lin; Muhammad Jehanzeb Mirza; Leshem Choshen; Mikhail Yurochkin; Yuekai Sun; Assaf Arbelle; Leonid Karlinsky; Raja Giryes Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-Modal Dataset; Visual Question-Answering; Efficient Evaluation
1614	LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality Authors: Kojiro Takeyama; Yimeng Liu; Misha Sra Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Dataset; Human trajectory; Indoor locomotion; Virtual reality; Social motion behavior
1615	LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs Authors: Yuhao Wu; Ming Shan Hee; Zhiqiang Hu; Roy Ka-Wei Lee Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Long context LLMs; Long-form generation; Benchmark
1616	MANTRA: The Manifold Triangulations Assemblage Authors: Rubén Ballester; Ernst Röell; Daniel Bin Schmid; Mathieu Alain; Sergio Escalera; Carles Casacuberta; Bastian Rieck Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: simplicial complex; topological deep learning; high-order; high-order dataset; simplicial complex learning
1617	MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks Authors: Jiacheng Chen; Tianhao Liang; Sherman Siu; Zhengqing Wang; Kai Wang; Yubo Wang; Yuansheng Ni; Ziyan Jiang; Wang Zhu; Bohan Lyu; Dongfu Jiang; Xuan He; Yuan Liu; Hexiang Hu; Xiang… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: evaluation of multimodal large language models
1618	MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs Authors: Yusu Qian; Hanrong Ye; Jean-Philippe Fauconnier; Peter Grasch; Yinfei Yang; Zhe Gan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal LLM; Instruction Following; Benchmark
1619	MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection Authors: Xi Jiang; Jian Li; Hanqiu Deng; Yong Liu; Bin-Bin Gao; Yifeng Zhou; Jialin Li; Chengjie Wang; Feng Zheng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Anomaly Detection; Multimodal Large Language Model; Industrial Inspection
1620	MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models Authors: Chejian Xu; Jiawei Zhang; Zhaorun Chen; Chulin Xie; Mintong Kang; Yujin Potter; Zhun Wang; Zhuowen Yuan; Alexander Xiong; Zidi Xiong; Chenhui Zhang; Lingzhi Yuan; Yi Zeng; Peiyang… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Trustworthiness; multimodal foundation models; safety; hallucination; OOD generalization; bias/fairness; privacy; adversarial robustness
1621	MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models Authors: Fanqing Meng; Jin Wang; Chuanhao Li; Quanfeng Lu; Hao Tian; Tianshuo Yang; Jiaqi Liao; Xizhou Zhu; Jifeng Dai; Yu Qiao; Ping Luo; Kaipeng Zhang; Wenqi Shao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-image Understanding; Benchmark; LVLM; Evaluation
1622	MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge Authors: Yuntao Du.; Kailin Jiang; Zhi Gao; Chenrui Shi; Zilong Zheng; Siyuan Qi; Qing Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal knowledge editing; Large multimodal model; Benchmark
1623	MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation Authors: Donggon Jang; Yucheol Cho; Suin Lee; Taehyeon Kim; Daeshik Kim Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Dataset; Multi-target and Multi-granularity Reasoning Segmentation; Benchmark
1624	MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents Authors: Yanqi Dai; Huanran Hu; Lei Wang; Shengjie Jin; Xu Chen; Zhiwu Lu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal Role-Playing Agents; Large Multimodal Models
1625	MMTEB: Massive Multilingual Text Embedding Benchmark Authors: Kenneth Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzemiński; Genta Indra Winata; Saba Sturua; Saiteja Ut… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: natural language processing; benchmark; sentence embeddings; multilingual
1626	MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos Authors: Xuehai He; Weixi Feng; Kaizhi Zheng; Yujie Lu; Wanrong Zhu; Jiachen Li; Yue Fan; Jianfeng Wang; Linjie Li; Zhengyuan Yang; Kevin Lin; William Yang Wang; Lijuan Wang; Xin Eric Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Video Understanding; Benchmark
1627	MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation Authors: Zhongshen Zeng; Pengguang Chen; Shu Liu; Haiyun Jiang; Jiaya Jia Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; LLM; Math; Evaluation
1628	MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models Authors: Wenbo Hu; Jia-Chen Gu; Zi-Yi Dou; Mohsen Fayyaz; Pan Lu; Kai-Wei Chang; Nanyun Peng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: multimodal; rag; vision-language; visual knowledge
1629	MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models Authors: Pei Wang; Yanan Wu; Noah Wang; Jiaheng Liu; Xiaoshuai Song; Z.Y. Peng; Ken Deng; Chenchen Zhang; JiakaiWang; Junran Peng; Ge Zhang; Hangyu Guo; Zhaoxiang Zhang; 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; Tool-usage; Benchmark
1630	MUSE: Machine Unlearning Six-Way Evaluation for Language Models Authors: Weijia Shi; Jaechan Lee; Yangsibo Huang; Sadhika Malladi; Jieyu Zhao; Ari Holtzman; Daogao Liu; Luke Zettlemoyer; Noah A. Smith; Chiyuan Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Language Models; Machine Unlearning
1631	Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Authors: Zhangchen Xu; Fengqing Jiang; Luyao Niu; Yuntian Deng; Radha Poovendran; Yejin Choi; Bill Yuchen Lin Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Dataset; LLM; alignment; synthetic; supervised fine-tuning
1632	ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks Authors: Arth Shukla; Stone Tao; Hao Su Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmark; dataset; simulation; reinforcement learning; imitation learning; robotics
1633	McEval: Massively Multilingual Code Evaluation Authors: Linzheng Chai; Shukai Liu; Jian Yang; Yuwei Yin; JinKe; Jiaheng Liu; Tao Sun; Ge Zhang; Changyu Ren; Hongcheng Guo; Noah Wang; Boyang Wang; Xianjie Wu; Bing Wang; Tongliang Li; Li… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Code Intelligence; Multilingual; Large Language Model; Multilingual Multitask Code Evaluation
1634	MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine Authors: Yunfei Xie; Ce Zhou; Lang Gao; Juncheng Wu; Xianhang Li; Hong-Yu Zhou; Sheng Liu; Lei Xing; James Zou; Cihang Xie; Yuyin Zhou Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Medical Foundation Model; Multimodal Dataset; Vision-Language Pretraining.
1635	MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models Authors: Mohammad Shahab Sepehri; Zalan Fabian; Maryam Soltanolkotabi; Mahdi Soltanolkotabi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Medical foundation models; Benchmarking; Vision encoding; Radiology
1636	MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding Authors: Fei Wang; Xingyu Fu; James Y. Huang; Zekun Li; Qin Liu; Xiaogeng Liu; Mingyu Derek Ma; Nan Xu; Wenxuan Zhou; Kai Zhang; Tianyi Lorena Yan; Wenjie Jacky Mo; Hsiang-Hui Liu; Pan Lu;… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal LLM; Multi-image Understanding; Benchmark; Robustness
1637	Multimodal Situational Safety Authors: Kaiwen Zhou; Chengzhi Liu; Xuandong Zhao; Anderson Compalas; Dawn Song; Xin Eric Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multimodal situational safety; safety benchmark and evaluation
1638	NL-Eye: Abductive NLI For Images Authors: Mor Ventura; Michael Toker; Nitay Calderon; Zorik Gekhman; Yonatan Bitton; Roi Reichart Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Multimodality; Abductive Reasoning; NLI; VLM
1639	Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs Authors: Zijia Zhao; Haoyu Lu; Yuqi Huo; Yifan Du; Tongtian Yue; Longteng Guo; Bingning Wang; weipeng chen; Jing Liu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: video MLLM
1640	No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data Authors: Daniel Cai; Randall Balestriero Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: implicit neural representations; dataset; fairness in AI; representation learning; geospatial modeling; Earth representation; wavelet; location encoding
1641	NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens Authors: Cunxiang Wang; Ruoxi Ning; Boqi Pan; Tonghui Wu; Qipeng Guo; Cheng Deng; Guangsheng Bao; Xiangkun Hu; Zheng Zhang; Qian Wang; Yue Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Long-context; Large Language Models; Question Answering
1642	Number Cookbook: Number Understanding of Language Models and How to Improve It Authors: Haotong Yang; Yi Hu; Shijia Kang; Zhouchen Lin; Muhan Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: number understanding; large language model; reasoning
1643	OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones? Authors: Zijian Chen; tingzhu chen; Wenjun Zhang; Guangtao Zhai Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: oracle bone inscriptions; ancient character deciphering; large multi-modal models; benchmark
1644	Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models Authors: Bofei Gao; Feifan Song; Zhe Yang; Zefan Cai; Yibo Miao; Qingxiu Dong; Lei Li; Chenghao Ma; Liang Chen; Runxin Xu; Zhengyang Tang; Benyou Wang; Daoguang Zan; Shanghaoran Quan; Ge Z… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Mathematical Benchmark; LLM Evaluation; Olympic
1645	OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities Authors: Lichang Chen; Hexiang Hu; Mingda Zhang; Yiwen Chen; Zifeng Wang; YANDONG LI; Pranav Shyam; Tianyi Zhou; Heng Huang; Ming-Hsuan Yang; Boqing Gong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Omni-modality Language Model; Omni-Eval; Omni-Reasoning
1646	OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data Authors: Shubham Toshniwal; Wei Du; Ivan Moshkov; Branislav Kisacanin; Alexan Ayrapetyan; Igor Gitman Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Math Reasoning; Synthetic Data
1647	OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? Authors: Junjielong Xu; Qinan Zhang; Zhiqing Zhong; Shilin He; Chaoyun Zhang; Qingwei Lin; Dan Pei; Pinjia He; Dongmei Zhang; Qi Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Language models; Natural language processing; Software engineering
1648	OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation Authors: Kepan Nan; Rui Xie; Penghao Zhou; Tiehan Fan; Zhenheng Yang; Zhijie Chen; Xiang Li; Jian Yang; Ying Tai Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Text-Video Dataset; Video Generation
1649	OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling Authors: Zhicheng Yang; Yiwei Wang; Yinya Huang; Zhijiang Guo; Wei Shi; Xiongwei Han; Liang Feng; Linqi Song; Xiaodan Liang; Jing Tang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large language models; optimization problem; data synthesis
1650	OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination Authors: Tobias Gessler; Tin Dizdarevic; Ani Calinescu; Benjamin Ellis; Andrei Lupu; Jakob Nicolaus Foerster Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; reinforcement learning; multi-agent systems; zero-shot coordination; overcooked; human-AI coordination
1651	PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS Authors: Yilong Li; Jingyu Liu; Hao Zhang; M Badri Narayanan; Utkarsh Sharma; Shuai Zhang; Yijing Zeng; Jayaram Raghuram; Suman Banerjee Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Mobile Platforms; Large Language Models; Quantization; Benchmark
1652	POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding Authors: Alexey Skrynnik; Anton Andreychuk; Anatolii Borzilov; Alexander Chernyavskiy; Konstantin Yakovlev; Aleksandr Panov Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: MAPF; MARL; RL; Heuristic search
1653	Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning Authors: Qinghao Ye; Xianhan Zeng; Fu Li; Chunyuan Li; Haoqi Fan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Vision-Language Model; Detailed Image Captioning; Caption Metric; Alignment; Preference Optimization; Large Language Models
1654	Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities Authors: Yichen Wang; Yiyi Zhang; Xinhao Hu; Li Niu; Jianfu Zhang; Yasushi Makihara; Yasushi Yagi; Pai Peng; Wenlong Liao; Tao He; Junchi Yan; Liqing Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Pedestrian Dynamics; Mixed Reality
1655	PersonalLLM: Tailoring LLMs to Individual Preferences Authors: Thomas P Zollo; Andrew Wei Tung Siah; Naimeng Ye; Ang Li; Hongseok Namkoong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Personalization; LLM; Alignment; benchmark; dataset; reinforcement learning from human feedback; language models; RLHF; preferences
1656	Personalized Visual Instruction Tuning Authors: Renjie Pi; Jianshu Zhang; Tianyang Han; Jipeng Zhang; Rui Pan; Tong Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: large language model; multimodal large language model
1657	PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark Authors: Mingquan Feng; Yixin Huang; Yizhou Liu; Bofang Jiang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: AI4Science; Physics; PDEs; PDE Discovery
1658	Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs Authors: Christian Klötergens; Vijaya Krishna Yalavarthi; Randolf Scholz; Maximilian Stubbemann; Stefan Born; Lars Schmidt-Thieme Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Irregular Time Series; ODE
1659	Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function Authors: Linlin Yu; Bowen Yang; Tianhao Wang; Kangshuo Li; Feng Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Uncertainty Quantification; Evidential Deep Learning; Bird's Eye View (BEV) Segmentation
1660	RGB-Event ISP: The Dataset and Benchmark Authors: Yunfan LU; Yanlin Qian; Ziyang Rao; Junren Xiao; Liming Chen; Hui Xiong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: event camera; image signal processor; color correction; denoising
1661	ReCogLab: a framework testing relational reasoning & cognitive hypotheses on LLMs Authors: Andrew Liu; Henry Prior; Gargi Balasubramaniam; Rivka Moroshko; Amir Zait; Ilia Labzovsky; Danny Karmon; Ishita Dasgupta; Kim Stachenfeld; Kenneth Marino Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Congitive Science; Large Language Models; Datasets; Evaluation; Relational Reasoning
1662	ReSi: A Comprehensive Benchmark for Representational Similarity Measures Authors: Max Klabunde; Tassilo Wald; Tobias Schumacher; Klaus Maier-Hein; Markus Strohmaier; Florian Lemmerich Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: representational similarity; benchmark; grounding; representations
1663	RecFlow: An Industrial Full Flow Recommendation Dataset Authors: Qi Liu; Kai Zheng; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; Enyun Yu; Guorui Zhou; Han Li; Yang Song; Defu Lia… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: recommendation system; recommendation dataset
1664	Redefining the task of Bioactivity Prediction Authors: Yanwen Huang; Bowen Gao; Yinjun Jia; Hongbo Ma; Wei-Ying Ma; Ya-Qin Zhang; Yanyan Lan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Bioactivity Prediction; New Dataset
1665	RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code Authors: Dhruv Gautam; Spandan Garg; Jinu Jang; Neel Sundaresan; Roshanak Zilouchian Moghaddam Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Language Agents; Benchmarks; Code Generation; Reasoning; State-Awareness; Refactoring; Long-Horizon Tasks; Knowledge Representation
1666	Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs Authors: Bowen Gao; Haichuan Tan; Yanwen Huang; Minsi Ren; Xiao Huang; Wei-Ying Ma; Ya-Qin Zhang; Yanyan Lan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Stucture-Based Drug Design; Model Evaluation; Benchmark
1667	Robotouille: An Asynchronous Planning Benchmark for LLM Agents Authors: Gonzalo Gonzalez-Pumariega; Leong Su Yean; Neha Sunkara; Sanjiban Choudhury Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: benchmark; llm; agents; planning
1668	Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning Authors: Shangding Gu; Laixi Shi; Muning Wen; Ming Jin; Eric Mazumdar; Yuejie Chi; Adam Wierman; Costas Spanos Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Robust reinforcement learning; benchmark; reinforcement learning; multi-agent reinforcement learning
1669	SONICS: Synthetic Or Not - Identifying Counterfeit Songs Authors: Md Awsafur Rahman; Zaber Ibn Abdul Hakim; Najibul Haque Sarker; Bishmoy Paul; Shaikh Anowarul Fattah Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: deepfake detection; fake song detection; synthetic song detection; efficient model; dataset; audio processing
1670	SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization Authors: Hong Qian; Yiyi Zhu; Xiang Shu; Shuo Liu; Yaolin Wen; Xin An; Huakang Lu; Aimin Zhou; Ke Tang; Yang Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Offline Optimization; Black-Box Optimization; Stability; Benchmarks
1671	SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Authors: Tinghao Xie; Xiangyu Qi; Yi Zeng; Yangsibo Huang; Udari Madhushani Sehwag; Kaixuan Huang; Luxi He; Boyi Wei; Dacheng Li; Ying Sheng; Ruoxi Jia; Bo Li; Kai Li; Danqi Chen; Peter He… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLM; safety; alignment; benchmark; refusal
1672	SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models Authors: Haotian Xia; Zhengbang Yang; Junbo Zou; Rhys Tracy; Yuqing Wang; Chi Lu; Christopher Lai; Yanjun He; Xun Shao; Zhuoqing Xie; Yuan-fang Wang; Weining Shen; Hanjie Chen 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
1673	SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? Authors: John Yang; Carlos E Jimenez; Alex L Zhang; Kilian Lieret; Joyce Yang; Xindi Wu; Ori Press; Niklas Muennighoff; Gabriel Synnaeve; Karthik R Narasimhan; Diyi Yang; Sida Wang; Ofir P… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Language models; Natural language processing; Software engineering
1674	SWEb: A Large Web Dataset for the Scandinavian Languages Authors: Tobias Norlund; Tim Isbister; Amaru Cuba Gyllensten; Paul Gabriel dos Santos; Danila Petrelli; Ariel Ekgren; Magnus Sahlgren Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: dataset; pre-training; swedish; danish; norwegian; icelandic
1675	SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models Authors: Kehua Feng; Keyan Ding; Jing Yu; Yiwen Qu; Zhiwen Chen; chengfei lv; Gang Yu; Qiang Zhang; Huajun Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Fine-grained Evaluation; Adaptive Multi-dimensional Evaluator; Large Language Models
1676	ScImage: How good are multimodal large language models at scientific text-to-image generation? Authors: Leixin Zhang; Steffen Eger; Yinjie Cheng; WEIHE ZHAI; Jonas Belouadi; Fahimeh Moafian; Zhixue Zhao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: LLMs; multimodality; science; image generation
1677	Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video Authors: Xiaohao Xu; Tianyi Zhang; Shibo Zhao; Xiang Li; Sibo Wang; Yongqi Chen; Ye Li; Bhiksha Raj; Matthew Johnson-Roberson; Sebastian Scherer; Xiaonan Huang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmarking; Robustness; Neural 3D Reconstruction; Ego-Motion Estimation; SLAM
1678	ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery Authors: Ziru Chen; Shijie Chen; Yuting Ning; Qianheng Zhang; Boshi Wang; Botao Yu; Yifei Li; Zeyi Liao; Chen Wei; Zitong Lu; Vishal Dey; Mingyi Xue; Frazier N. Baker; Benjamin Burns; Dani… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Evaluation; Large Language Model; Language Agent; AI for Science; Code Generation; Task Automation
1679	ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents Authors: Haiyang SHEN; Yue Li; Desong Meng; Dongqi Cai; Sheng Qi; Li Zhang; Mengwei Xu; Yun Ma Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Benchmark; Agent; LLM; Shortcuts
1680	Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos Authors: Mingfei Han; Linjie Yang; Xiaojun Chang; Lina Yao; Heng Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: vision language model; video question answering; video captioning; multi-shot videos
1681	SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark Authors: Bin CAO; Yang Liu; Zinan Zheng; Ruifeng Tan; Jia Li; Tong-yi Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Symmetry Classification; benchmark and dataset
1682	SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios Authors: Kai Li; Wendi Sang; Chang Zeng; Runxuan Yang; Guo Chen; Xiaolin Hu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Moving audio toolkit; moving audio dataset; speech separation; speech enhancement
1683	Speech Robust Bench: A Robustness Benchmark For Speech Recognition Authors: Muhammad A Shah; David Solans Noguero; Mikko A. Heikkilä; Bhiksha Raj; Nicolas Kourtellis Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: robustness; automatic speech recognition; benchmark; adversarial
1684	StringLLM: Understanding the String Processing Capability of Large Language Models Authors: Xilong Wang; Hao Fu; Jindong Wang; Neil Zhenqiang Gong Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; String Processing; Benchmarks; Datasets
1685	SysBench: Can LLMs Follow System Message? Authors: Yanzhao Qin; Tao Zhang; Tao Zhang; Yanjun Shen; Wenjing Luo; sunhaoze; Yan Zhang; Yujing Qiao; weipeng chen; Zenan Zhou; Wentao Zhang; Bin CUI Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; System Message; Instruction Following; Benchmark Dataset
1686	TAU-106K: A New Dataset for Comprehensive Understanding of Traffic Accident Authors: Yixuan Zhou; Long Bai; Sijia Cai; Bing Deng; Xing Xu; Heng Tao Shen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Anomaly Detection; Traffic Accident Understanding; Multimodal Large Language Models; Instructional Dataset
1687	TDDBench: A Benchmark for Training data detection Authors: Zhihao Zhu; Yi Yang; Defu Lian Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Training data detection; Benchmark; Copyright certification
1688	TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics Authors: Lu Yi; Jie Peng; Yanping Zheng; Fengran Mo; Zhewei Wei; Yuhang Ye; Yue Zixuan; Zengfeng Huang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: datasets and benchmarks; temporal graph learning
1689	THE ROBUSTNESS OF DIFFERENTIABLE CAUSAL DISCOVERY IN MISSPECIFIED SCENARIOS Authors: Huiyang Yi; Yanyan He; Duxin Chen; Mingyu Kang; He Wang; Wenwu Yu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Differentiable causal discovery; model assumption violations; benchmark
1690	TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models Authors: Ziyao Shangguan; Chuhan Li; Yuxuan Ding; Yanan Zheng; Yilun Zhao; Tesca Fitzgerald; Arman Cohan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: visual temporal reasoning; video understanding; benchmark; vision-language benchmark; video-language models; evaluation
1691	Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics Authors: Siddhant Arora; Zhiyun Lu; Chung-Cheng Chiu; Ruoming Pang; Shinji Watanabe Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Turn-taking; Conversation AI; Audio Foundation Models; Evaluation Metric; Evaluation Benchmark
1692	TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types Authors: Jiankang Chen; Tianke Zhang; Changyi Liu; Haojie Ding; Yaya Shi; cheng.feng; Huihui Xiao; Bin Wen; Fan Yang; Tingting Gao; Di ZHANG Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: instruction fine-tunning dataset; multimodal large language models; hierarchical task types; data generation pipeline
1693	Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning Authors: Bahare Fatemi; Mehran Kazemi; Anton Tsitsulin; Karishma Malkan; Jinyeong Yim; John Palowitch; Sungyong Seo; Jonathan Halcrow; Bryan Perozzi Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Temporal Reasoning; Temporal Graphs; LLMs
1694	TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark Authors: Kush Jain; Gabriel Synnaeve; Baptiste Roziere Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: test generation; software engineering; language models
1695	The KoLMogorov Test: Compression by Code Generation Authors: Ori Yoran; Kunhao Zheng; Fabian Gloeckle; Jonas Gehring; Gabriel Synnaeve; Taco Cohen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Code generation; code; compression; LLM; dataset; benchmark
1696	The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs Authors: Hong Li; Nanxi Li; Yuanjie Chen; Jianbin Zhu; Qinlu Guo; Cewu Lu; Yong-Lu Li Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Multi-modal LLM; Visual Reasoning; Association
1697	ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models Authors: Jeonghoon Shim; Gyuhyeon Seo; Cheongsu Lim; Yohan Jo Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Tool-augmented language models
1698	UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models Authors: Xin Xu; Jiaxin ZHANG; Tianhao Chen; Zitong Chao; Jishan Hu; Can Yang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Math Reasoning; Undergraduate-Level Math problems; Benchmark
1699	Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models Authors: Mazda Moayeri; Vidhisha Balachandran; Varun Chandrasekaran; Safoora Yousefi; Thomas FEL; Soheil Feizi; Besmira Nushi; Neel Joshi; Vibhav Vineet Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: evaluation; skills; tradeoffs; frontier models; llm; large multimodal model; rationale; error analysis; interpretability
1700	Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search Authors: Yang Li; Jiale Ma; Wenzheng Pan; Runzhong Wang; Haoyu Geng; Nianzu Yang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Travelling salesman problem
1701	Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Authors: Yili Wang; Yixin Liu; Xu Shen; Chenyu Li; Rui Miao; Kaize Ding; Ying Wang; Shirui Pan; Xin Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Graph out-of-distribution detection; graph anomaly detection; benchmark
1702	VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text Authors: Tianyu Zhang; Suyuchen Wang; Lu Li; Ge Zhang; Perouz Taslakian; Sai Rajeswar; Jie Fu; Bang Liu; Yoshua Bengio Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: dataset; vision-language model; multimodal
1703	VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning Authors: Yongshuo Zong; Ondrej Bohdal; Timothy Hospedales Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Vision-Language Models; In-Context Learning; LLMs
1704	VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning Authors: Nilay Yilmaz; Maitreya Patel; Yiran Lawrence Luo; Tejas Gokhale; Chitta Baral; Suren Jayasuriya; Yezhou Yang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: abstract reasoning; relational reasoning; perceptual understanding; MLLMs; visual analogy
1705	VTDexManip: A Dataset and Benchmark for Visual-tactile Pretraining and Dexterous Manipulation with Reinforcement Learning Authors: Qingtao Liu; Yu Cui; Zhengnan Sun; Gaofeng Li; Jiming Chen; Qi Ye Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Robotics; Manipulation; Vision and tactile; Multi-modal pretraining; Reinforcement learning
1706	VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems Authors: Xudong Gong; Feng Dawei; Kele Xu; weijia wang; Zhangjun Sun; Xing Zhou; Si Zheng; Bo Ding; Huaimin Wang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Reinforcement Learning Environment; Demonstrations; Goal-Conditioned Reinforcement Learning; Fixed-wing UAV Velocity Vector Control
1707	Video Action Differencing Authors: James Burgess; Xiaohan Wang; Yuhui Zhang; Anita Rau; Alejandro Lozano; Lisa Dunlap; Trevor Darrell; Serena Yeung-Levy Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Video; Actions; Differencing; Zero-shot; benchmark; multimodal; lmm; llm
1708	VideoPhy: Evaluating Physical Commonsense for Video Generation Authors: Hritik Bansal; Zongyu Lin; Tianyi Xie; Zeshun Zong; Michal Yarom; Yonatan Bitton; Chenfanfu Jiang; Yizhou Sun; Kai-Wei Chang; Aditya Grover Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: text-to-video generation; physical commonsense; video-text alignment; generative modeling; video evaluation
1709	VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks Authors: Lawrence Keunho Jang; Yinheng Li; Dan Zhao; Charles Ding; Justin Lin; Paul Pu Liang; Rogerio Bonatti; Kazuhito Koishida Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: agents; benchmark; video understanding; multimodal agents
1710	VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents Authors: Xiao Liu; Tianjie Zhang; Yu Gu; Iat Long Iong; Song XiXuan; Yifan Xu; Shudan Zhang; Hanyu Lai; Jiadai Sun; Xinyue Yang; Yu Yang; Zehan Qi; Shuntian Yao; Xueqiao Sun; Siyi Cheng; Q… Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Multimodal Models; Agents; Evaluation
1711	VoxDialogue: Can Spoken Dialogue Systems Understand Information Beyond Words? Authors: Xize Cheng; Ruofan Hu; Xiaoda Yang; Jingyu Lu; Dongjie Fu; Zehan Wang; Shengpeng Ji; Rongjie Huang; Boyang Zhang; Tao Jin; Zhou Zhao Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: spoken dialogue system; paralinguistic information; benchmark
1712	What Makes a Maze Look Like a Maze? Authors: Joy Hsu; Jiayuan Mao; Joshua B. Tenenbaum; Noah Goodman; Jiajun Wu Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: visual reasoning; abstract concepts; schemas
1713	YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus Authors: Garrett Tanzer; Biao Zhang Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: sign language translation; sign language; multilinguality; data curation; data auditing
1714	Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks Authors: Zixuan Xiong; Guangwei Xu; Wenkai Zhang; Yuan Miao; Xuan Wu; Lin Hai; Ruijie Guo; Hai-Tao Zheng Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Chinese Video Datasets; Retrieval; Grounding; Generation
1715	metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models Authors: Alex Kipnis; Konstantinos Voudouris; Luca M. Schulze Buschoff; Eric Schulz Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: llm; benchmarking; item response theory; factor analysis; information
1716	xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation Authors: Qingchen Yu; Zifan Zheng; Shichao Song; Zhiyu li; Feiyu Xiong; Bo Tang; Ding Chen Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: Large Language Models; Reliable Evaluation
1717	{$\tau$}-bench: A Benchmark for \underline{T}ool-\underline{A}gent-\underline{U}ser Interaction in Real-World Domains Authors: Shunyu Yao; Noah Shinn; Pedram Razavi; Karthik R Narasimhan Affiliation: 官方页面未列出 Official area / track: datasets and benchmarks Recognition: Poster/Regular Keywords: language model; language agent; benchmark; user simulation; rule following
1718	$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models Authors: Zhongwei Wan; Xinjian Wu; Yu Zhang; Yi Xin; Chaofan Tao; Zhihong Zhu; Xin Wang; Siqi Luo; Jing Xiong; Longyue Wang; Mi Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient inference of LLMs; Long context; including LLMs
1719	(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning Authors: Margaret Li; Sneha Kudugunta; Luke Zettlemoyer Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: survey; scaling laws; large language models; foundation models; including LLMs
1720	3D-Properties: Identifying Challenges in DPO and Charting a Path Forward Authors: Yuzi Yan; Yibo Miao; Jialian Li; YipinZhang; Jian Xie; Zhijie Deng; Dong Yan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; DPO; RLHF; including LLMs
1721	3D-SPATIAL MULTIMODAL MEMORY Authors: Xueyan Zou; Yuchen Song; Ri-Zhao Qiu; Xuanbin Peng; Jianglong Ye; Sifei Liu; Xiaolong Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Foundation Model; Gaussian Splatting; Large Multimodal Model; Robotics; including LLMs
1722	A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts Authors: Suyu Ge; Xihui Lin; Yunan Zhang; Jiawei Han; Hao Peng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Long-Context LLM; Efficient LLM; Context Extension; KV Cache Reduction; including LLMs
1723	A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules Authors: Kairong Luo; Haodong Wen; Shengding Hu; Zhenbo Sun; Zhiyuan Liu; Maosong Sun; Kaifeng Lyu; Wenguang 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; Learning rate scheduler; Scaling Law; Hyperparameter optimization; including LLMs
1724	A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation Authors: Liang Chen; Sinan Tan; Zefan Cai; Weichu Xie; Haozhe Zhao; Yichi Zhang; Junyang Lin; Jinze Bai; Tianyu Liu; Baobao Chang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Autoregressive Model; Image Generation; Vision-Language Model; Large Language Model; including LLMs
1725	A Statistical Framework for Ranking LLM-based Chatbots Authors: Siavash Ameli; Siyuan Zhuang; Ion Stoica; Michael W. Mahoney 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); Paired Comparison; Statistical Ranking; Human Preferences; Chatbot Arena; Logistic Regression; including LLMs
1726	ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration Authors: Andrew Estornell; Jean-Francois Ton; Yuanshun Yao; Yang Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-Agent Collaboration; LLM Agents; Preference Optimization; including LLMs
1727	ALLaM: Large Language Models for Arabic and English Authors: M Saiful Bari; Yazeed Alnumay; Norah A. Alzahrani; Nouf M. Alotaibi; Hisham Abdullah Alyahya; Sultan AlRashed; Faisal Abdulrahman Mirza; Shaykhah Z. Alsubaie; Hassan A. Alahmed; G… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; English; Arabic; Second Language Acquisition; including LLMs
1728	Accessing Vision Foundation Models via ImageNet-1K Authors: Yitian Zhang; Xu Ma; Yue Bai; Huan Wang; Yun Fu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Foundation Model; Model Compressing; DINOv2; CLIP; SynCLR; including LLMs
1729	AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning Authors: Yehonathan Refael; Jonathan Svirsky; Boris Shustin; Wasim Huleihel; Ofir Lindenbaum Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: low rank adaptation; low rank gradient training; memory efficient fine tuning; memory optimization; adaptive rank; foundation large language models; including…
1730	Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws Authors: Yiding Jiang; Allan Zhou; Zhili Feng; Sadhika Malladi; J Zico Kolter Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Data selection; Pre-training; Curriculum learning; Language Models; Scaling laws; including LLMs
1731	Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters Authors: Roberto Garcia; Jerry Weihong Liu; Daniel Sorvisto; Sabri Eyuboglu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Adaptive compute; Rank adapters; Neuron adapters; including LLMs
1732	Agent Skill Acquisition for Large Language Models via CycleQD Authors: So Kuroki; Taishi Nakamura; Takuya Akiba; 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 Models; Skill Acquisition; Quality Diversity; including LLMs
1733	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents Authors: Ke Yang; Yao Liu; Sapana Chaudhary; Rasool Fakoor; Pratik Chaudhari; George Karypis; Huzefa Rangwala Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Agent; LLM-based Agent; Web Agent; Web Navigation; including LLMs
1734	AgentSquare: Automatic LLM Agent Search in Modular Design Space Authors: Yu Shang; Yu Li; Keyu Zhao; Likai Ma; Jiahe Liu; Fengli Xu; Yong Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM agent; Modular design space; Agent search; AutoML; including LLMs
1735	Aioli: A Unified Optimization Framework for Language Model Data Mixing Authors: Mayee F Chen; Michael Y. Hu; Nicholas Lourie; Kyunghyun Cho; Christopher Re Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: data mixing; language models; data curation; including LLMs
1736	Aligned Better, Listen Better for Audio-Visual Large Language Models Authors: Yuxin Guo; Shuailei Ma; Shijie Ma; Xiaoyi Bao; Chen-Wei Xie; Kecheng Zheng; Tingyu Weng; Siyang Sun; Yun Zheng; Wei Zou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Audio-Visual Learning; Multimodal Large Language Models; including LLMs
1737	An Auditing Test to Detect Behavioral Shift in Language Models Authors: Leo Richter; Xuanli He; Pasquale Minervini; Matt Kusner Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: AI alignment; model auditing; model evaluations; red teaming; sequential hypothesis testing; including LLMs
1738	An Evolved Universal Transformer Memory Authors: Edoardo Cetin; Qi Sun; Tianyu Zhao; Yujin Tang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Transformers; Evolution; Memory; KV cache; attention; including LLMs
1739	Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models Authors: Hulingxiao He; Geng Li; Zijun Geng; Jinglin Xu; 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 Models; Fine-Grained Visual Recognition; including LLMs
1740	Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? Authors: Yutong Yin; Zhaoran Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Transformer; Chain-of-Thought; In-Context-Learning; Compositional Generalization; including LLMs
1741	Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count Authors: Hanseul Cho; Jaeyoung Cha; Srinadh Bhojanapalli; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Length Generalization; Transformers; Scratchpad; Position Coupling; Positional Encoding; Out-of-distribution Generalization; Arithmetic Tasks; including LLMs
1742	Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model Authors: Long Le; Jason Xie; William Liang; Hung-Ju Wang; Yue Yang; Yecheng Jason Ma; Kyle Vedder; Arjun Krishna; Dinesh Jayaraman; Eric Eaton Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Computer vision; Vision-Language Models; Robotics; including LLMs
1743	As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss Authors: Xin Mao; Huimin Xu; Feng-Lin Li; Ziqi Jin; WANG CHEN; Wei Zhang; Anh Tuan Luu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Alignemnt; Preference Learning; Text Generation; including LLMs
1744	Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Authors: Michael Noukhovitch; Shengyi Huang; Sophie Xhonneux; Arian Hosseini; Rishabh Agarwal; Aaron Courville Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reinforcement learning from human feedback; efficient llm finetuning; off-policy RL; including LLMs
1745	Attribute-based Visual Reprogramming for Vision-Language Models Authors: Chengyi Cai; Zesheng Ye; Lei Feng; Jianzhong Qi; Feng Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Visual Reprogramming; Model Reprogramming; Vision-Language Models; Image Classification; including LLMs
1746	AutoBencher: Towards Declarative Benchmark Construction Authors: Xiang Lisa Li; Farzaan Kaiyom; Evan Zheran Liu; Yifan Mai; Percy Liang; Tatsunori Hashimoto Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: automatic evaluation; language models; including LLMs
1747	Automated Design of Agentic Systems Authors: Shengran Hu; Cong Lu; Jeff Clune Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; Language Model Agents; Agents; Agentic Systems; Reasoning; Meta Learning; Open-endedness; including LLMs
1748	Autoregressive Pretraining with Mamba in Vision Authors: Sucheng Ren; Xianhang Li; Haoqin Tu; Feng Wang; Fangxun Shu; Lei Zhang; Jieru Mei; Linjie Yang; Peng Wang; Heng Wang; Alan Yuille; Cihang Xie Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Auto regressive Pretraining; including LLMs
1749	BOND: Aligning LLMs with Best-of-N Distillation Authors: Pier Giuseppe Sessa; Robert Dadashi-Tazehozi; Leonard Hussenot; Johan Ferret; Nino Vieillard; Alexandre Rame; Bobak Shahriari; Sarah Perrin; Abram L. Friesen; Geoffrey Cideron; Se… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Alignment; RLHF; Best-of-N; including LLMs
1750	Balancing Act: Diversity and Consistency in Large Language Model Ensembles Authors: Ahmed Abdulaal; Chen Jin; Nina Montaña-Brown; Aryo Pradipta Gema; Daniel C. Castro; Daniel C. Alexander; Philip Alexander Teare; Tom Diethe; Dino Oglic; Amrutha Saseendran Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; ensembling; diversity; consistency; mixture of agents; self decoding; including LLMs
1751	Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback Authors: Sanjiban Choudhury; Paloma Sodhi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: learning from AI feedback; imitation learning; privileged information; including LLMs
1752	Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Authors: Jiacheng Ye; Jiahui Gao; Shansan Gong; Lin Zheng; Xin Jiang; Zhenguo Li; Lingpeng Kong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: diffusion model; autoregressive model; complex reasoning; including LLMs
1753	Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix Authors: Yingyu Liang; Jiangxuan Long; Zhenmei Shi; Zhao Song; Yufa Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Weights Pruning; Attention Approximation; Gradient Descent Optimization; including LLMs
1754	Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks Authors: Manohar Kaul; Aditya Saibewar; Sadbhavana Babar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Jailbreak Attack; LLMs; LLM Security; AI Security; including LLMs
1755	Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification Authors: Yunzhen Feng; Elvis Dohmatob; Pu Yang; Francois Charton; Julia Kempe Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Learning with Synthetic Data; Data Curation; Avoiding Model Collapse; including LLMs
1756	BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks Authors: Juan A. Rodriguez; Xiangru Jian; Siba Smarak Panigrahi; Tianyu Zhang; Aarash Feizi; Abhay Puri; Akshay Kalkunte Suresh; François Savard; Ahmed Masry; Shravan Nayak; Rabiul Awal; M… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: datasets; vision language models; multimodal; large language models; including LLMs
1757	Block-Attention for Efficient Prefilling Authors: Dongyang Ma; Yan Wang; Tian Lan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; RAG; parallel context encoding; efficient language model; including LLMs
1758	Bootstrapping Language Models with DPO Implicit Rewards Authors: Changyu Chen; Zichen Liu; Chao Du; Tianyu Pang; Qian Liu; Arunesh Sinha; Pradeep Varakantham; Min Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Alignment; Direct Preference Optimization; Large Language Models; including LLMs
1759	Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL Authors: Lin Long; Xijun Gu; Xinjie Sun; Wentao Ye; Haobo Wang; Sai Wu; Gang Chen; Junbo Zhao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Table Representation Learning; NL2SQL; Multimodal Learning; including LLMs
1760	CAMEx: Curvature-aware Merging of Experts Authors: Viet Dung Nguyen; Minh Nguyen Hoang; Luc Nguyen; Rachel Teo; Tan Minh Nguyen; Linh Duy Tran Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Sparse Mixture-of-Experts; efficiency; expert merging; including LLMs
1761	CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL Authors: Mohammadreza Pourreza; Hailong Li; Ruoxi Sun; Yeounoh Chung; Shayan Talaei; Gaurav Tarlok Kakkar; Yu Gan; Amin Saberi; Fatma Ozcan; Sercan O Arik Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Text-to-SQL; LLM; Databases; including LLMs
1762	COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training Authors: Haocheng Xi; Han Cai; Ligeng Zhu; Yao Lu; Kurt Keutzer; Jianfei Chen; Song Han Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: FP8 training; quantization; low-precision training; memory efficient training; including LLMs
1763	CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning Authors: Hao Cui; Zahra Shamsi; Gowoon Cheon; Xuejian Ma; Shutong Li; Maria Tikhanovskaya; Peter Christian Norgaard; Nayantara Mudur; Martyna Beata Plomecka; Paul Raccuglia; Yasaman Bahri;… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: science; LLMs; evaluation; benchmark; long-context; including LLMs
1764	Can In-context Learning Really Generalize to Out-of-distribution Tasks? Authors: Qixun Wang; Yifei Wang; Xianghua Ying; 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 models; In-context Learning; Out-of-distribution Generalization; including LLMs
1765	Can Knowledge Editing Really Correct Hallucinations? Authors: Baixiang Huang; Canyu Chen; Xiongxiao Xu; Ali Payani; Kai Shu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; Knowledge Editing; Hallucination; Benchmark; including LLMs
1766	Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers Authors: Chenglei Si; Diyi Yang; Tatsunori Hashimoto Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Idea Generation; Human Study; including LLMs
1767	Can LLMs Solve Longer Math Word Problems Better? Authors: Xin Xu; Tong Xiao; Zitong Chao; Zhenya Huang; Can Yang; Yang 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; Math Reasoning; Long Math Word Problems; including LLMs
1768	Can LLMs Understand Time Series Anomalies? Authors: Zihao Zhou; Rose 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 (LLMs); Time Series Analysis; Anomaly Detection; Multimodal Learning; including LLMs
1769	Can Textual Gradient Work in Federated Learning? Authors: Minghui Chen; Ruinan Jin; Wenlong Deng; Yuanyuan Chen; Zhi Huang; 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: Federated Learning; LLMs-as-Optimizer; including LLMs
1770	Can We Talk Models Into Seeing the World Differently? Authors: Paul Gavrikov; Jovita Lukasik; Steffen Jung; Robert Geirhos; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: vision language models; vision biases; shape/texture bias; including LLMs
1771	Catastrophic Failure of LLM Unlearning via Quantization Authors: Zhiwei Zhang; Fali Wang; Xiaomin Li; Zongyu Wu; Xianfeng Tang; Hui Liu; Qi He; Wenpeng Yin; Suhang Wang 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
1772	Causally Motivated Sycophancy Mitigation for Large Language Models Authors: Haoxi Li; Xueyang Tang; Jie ZHANG; Song Guo; Sikai Bai; Peiran Dong; Yue 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; Sycophancy; Causal Modeling; including LLMs
1773	Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable Authors: Chenxiao Yang; Zhiyuan Li; David Wipf Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; learning theory; chain-of-thought; including LLMs
1774	Chain-of-region: Visual Language Models Need Details for Diagram Analysis Authors: Xue Li; Yiyou Sun; Wei Cheng; Yinglun Zhu; Haifeng Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-modality; Visual Language Model; Computer Vision; including LLMs
1775	ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities Authors: Peng Xu; Wei Ping; Xianchao Wu; Chejian Xu; Zihan Liu; Mohammad Shoeybi; Bryan Catanzaro Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Long Context LLM; Retrieval-augmented generation; including LLMs
1776	CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning Authors: Jiaxin Wen; Jian Guan; Hongning Wang; Wei Wu; Minlie Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large langauge model for reasoning; planning; code-aided reasoning; including LLMs
1777	Composable Interventions for Language Models Authors: Arinbjörn Kolbeinsson; Kyle O'Brien; Tianjin Huang; Shanghua Gao; Shiwei Liu; Jonathan Richard Schwarz; Anurag Jayant Vaidya; Faisal Mahmood; Marinka Zitnik; Tianlong Chen; Thomas… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Model editing; Compression; Unlearning; Interventions; Language models; including LLMs
1778	Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models Authors: Jerry Yao-Chieh Hu; Maojiang Su; En-jui kuo; Zhao Song; Han Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Parameter Efficient Finetuning; Low-Rank Adaptation; LoRA; Transformer; Foundation Models; Large Language Models; Fine-Grained Complexity; Strong Exponential T…
1779	Compute-Constrained Data Selection Authors: Junjie Yin; Alexander M Rush Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Data Selection; Scaling Laws; Compute-constrained; Compute-optimal Training.; including LLMs
1780	Conformal Language Model Reasoning with Coherent Factuality Authors: Maxon Rubin-Toles; Maya Gambhir; Keshav Ramji; Aaron Roth; Surbhi Goel Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language models; reasoning; conformal prediction; factuality; graph representation; coherence; including LLMs
1781	Context Steering: Controllable Personalization at Inference Time Authors: Jerry Zhi-Yang He; Sashrika Pandey; Mariah L Schrum; Anca Dragan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: personalization; context; large language model; inference; controllable generation; including LLMs
1782	Controlled LLM Decoding via Discrete Auto-regressive Biasing Authors: Patrick Pynadath; Ruqi Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; controlled decoding; MCMC; including LLMs
1783	Correlation and Navigation in the Vocabulary Key Representation Space of Language Models Authors: Letian Peng; Chenyang An; Jingbo Shang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Modeling; Next Token Prediction; Spurious Correlation; Generation Diversity; including LLMs
1784	Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems Authors: Guibin Zhang; Yanwei Yue; Zhixun Li; Sukwon Yun; Guancheng Wan; Kun Wang; Dawei Cheng; Jeffrey Xu Yu; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-agent collaboration; sparsification; LLM agents; including LLMs
1785	DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models Authors: Kaishen Wang; Hengrui Gu; Meijun Gao; Kaixiong Zhou 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); Hallucinations; Decoding Method; Momentum Techniques; including LLMs
1786	DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation Authors: Xinghao Chen; Siwei Li; Yijing Yang; Yunhe Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Detection; Segmentation; ConvNet; Segment Anything; including LLMs
1787	DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models Authors: Zeping Min; Xinshang Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Weight Similarity; Large Language Models; Distribution of Cosine Similarity; Cluster Analysis; including LLMs
1788	DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search Authors: Murong Yue; Wenlin Yao; Haitao Mi; Dian Yu; Ziyu Yao; 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; reasoning; including LLMs
1789	DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing Authors: Xinyu Ma; Yifeng Xu; Yang Lin; Tianlong Wang; Xu Chu; Xin Gao; Junfeng Zhao; Yasha 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; Stylized Question-Answering; Representation Editing; including LLMs
1790	DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models Authors: Ruibing Song; Chuan Liu; Chunshu Wu; Ang Li; Dongfang Liu; Ying Nian Wu; Tong Geng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; nature-powered computing; dynamic physical system; including LLMs
1791	Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance Authors: Jiasheng Ye; Peiju Liu; Tianxiang Sun; Jun Zhan; Yunhua Zhou; Xipeng Qiu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: data mixtures; pretraining; post-training; scaling laws; including LLMs
1792	DataGen: Unified Synthetic Dataset Generation via Large Language Models Authors: Yue Huang; Siyuan Wu; Chujie Gao; Dongping Chen; Qihui Zhang; Yao Wan; Tianyi Zhou; Chaowei Xiao; Jianfeng Gao; Lichao Sun; Xiangliang 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; evaluation; synthetic data; including LLMs
1793	DataMan: Data Manager for Pre-training Large Language Models Authors: Ru Peng; Kexin Yang; Yawen Zeng; Junyang Lin; Dayiheng Liu; Junbo Zhao 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 Selection; Pre-Training; including LLMs
1794	Deconstructing What Makes a Good Optimizer for Autoregressive Language Models Authors: Rosie Zhao; Depen Morwani; David Brandfonbrener; Nikhil Vyas; Sham M. Kakade Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: optimization; LLMs; language models; Adam; including LLMs
1795	Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents Authors: Hao Bai; Yifei Zhou; Li Erran Li; 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: Reinforcement learning; device control; digital agents; foundation models; including LLMs
1796	Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers Authors: Lei Chen; Joan Bruna; Alberto Bietti Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reasoning; in-context learning; associative memory; transformers; distribution shift; including LLMs
1797	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Authors: Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu; Rithesh R N; Tian Lan; Lei Li; Renze Lou; Jiacheng Xu; Bo Pang; Yingbo Zhou; Shelby Heinecke; Silvio Savarese; Huan Wan… 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; software engineering; including LLMs
1798	Do LLM Agents Have Regret? A Case Study in Online Learning and Games Authors: Chanwoo Park; Xiangyu Liu; Asuman E. Ozdaglar; Kaiqing Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM agents; online learning; repeated games; including LLMs
1799	Do LLMs ``know'' internally when they follow instructions? Authors: Juyeon Heo; Christina Heinze-Deml; Oussama Elachqar; Kwan Ho Ryan Chan; Shirley You Ren; Andrew Miller; Udhyakumar Nallasamy; Jaya Narain Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Instruction following; Large language models; Linear probing; Representation engineering; Interpretation; including LLMs
1800	Do LLMs estimate uncertainty well in instruction-following? Authors: Juyeon Heo; Miao Xiong; Christina Heinze-Deml; Jaya Narain Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Instruction-following; Uncertainty; Large language models; Evaluation; Benchmark dataset; including LLMs
1801	Do LLMs have Consistent Values? Authors: Naama Rozen; Liat Bezalel; Gal Elidan; Amir Globerson; Ella Daniel Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; values; including LLMs
1802	Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Authors: Wang Qinsi; Jinghan Ke; Masayoshi Tomizuka; Kurt Keutzer; Chenfeng Xu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Model Compression; Low-Rank Decomposition; SVD; Effecient LLM; Differentiable; including LLMs
1803	Does Spatial Cognition Emerge in Frontier Models? Authors: Santhosh Kumar Ramakrishnan; Erik Wijmans; Philipp Kraehenbuehl; Vladlen Koltun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Frontier models; spatial cognition; including LLMs
1804	Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want Authors: Weifeng Lin; Xinyu Wei; Ruichuan An; Peng Gao; Bocheng Zou; Yulin Luo; Siyuan Huang; Shanghang Zhang; Hongsheng Li 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; Visual Prompting; including LLMs
1805	Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization Authors: Taishi Nakamura; Takuya Akiba; Kazuki Fujii; Yusuke Oda; Rio Yokota; Jun Suzuki 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; continual pre-training; including LLMs
1806	Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces Authors: DiJia Su; Sainbayar Sukhbaatar; Michael Rabbat; Yuandong Tian; Qinqing Zheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: planning; reasoning; Sequential Decision Making; including LLMs
1807	DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads Authors: Guangxuan Xiao; Jiaming Tang; Jingwei Zuo; junxian guo; Shang Yang; Haotian Tang; Yao Fu; Song 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; Long Context; Efficiency; including LLMs
1808	Dynamic Low-Rank Sparse Adaptation for Large Language Models Authors: Weizhong Huang; Yuxin Zhang; Xiawu Zheng; Liuyang; Jing Lin; Yiwu Yao; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Network Sparsity; Low-Rank Adaptation; including LLMs
1809	Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification Authors: Wenxuan Huang; Zijie Zhai; Yunhang Shen; Shaosheng Cao; Fei Zhao; Xiangfeng Xu; Zheyu Ye; Shaohui Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient Multimodal Large Language Model; including LLMs
1810	EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing Authors: Haotian Sun; Tao Lei; Bowen Zhang; Yanghao Li; Haoshuo Huang; Ruoming Pang; Bo Dai; Nan Du Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Diffusion transformer; text-to-image synthesis; Mixture-of-Experts; including LLMs
1811	EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING Authors: Aditya Ramesh; Shivam Bhardwaj; Aditya Saibewar; Manohar Kaul Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: JailBreak; AI Security; LLM Vunlnerability; including LLMs
1812	ELICIT: LLM Augmentation Via External In-context Capability Authors: Futing Wang; Jianhao Yan; Yue Zhang; Tao Lin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: modular; including LLMs
1813	EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment Authors: Yifei Xing; Xiangyuan Lan; Ruiping Wang; Dongmei Jiang; Wenjun Huang; Zheng Qingfang; Yaowei Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal models; State space models; Efficient architectures; Mamba; Computational Efficiency; Multimodal Alignment; including LLMs
1814	Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts Authors: Guorui Zheng; Xidong Wang; Juhao Liang; Nuo Chen; Yuping Zheng; Benyou Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multilingual LLM; Medical LLM; including LLMs
1815	Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Authors: Jonas Hübotter; Sascha Bongni; Ido Hakimi; Andreas Krause Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: data selection; retrieval; active learning; transductive active learning; local learning; test-time fine-tuning; transductive learning; language modeling; unce…
1816	Eliminating Position Bias of Language Models: A Mechanistic Approach Authors: Ziqi Wang; Hanlin Zhang; Xiner Li; Kuan-Hao Huang; Chi Han; Shuiwang Ji; Sham M. Kakade; Hao Peng; Heng Ji Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Position Bias; Languague Models; including LLMs
1817	Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data Authors: Yucheng Shi; Quanzheng Li; Jin Sun; Xiang Li; Ninghao Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Foundation Models; Synthetic Data; Explainability; Visual Reasoning; Fine-grained Visual Categorization; Rejection Sampling; including LLMs
1818	Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information Authors: Yuke Zhu; Yue Zhang; Dongdong Liu; Chi Xie; Zihua Xiong; Bo Zheng; Sheng Guo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: DocAI; LLM; Position Embedding; including LLMs
1819	Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control Authors: SungUk Shin; Youngjoon Kim Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Enhancing Graph Of Thought; Complex Reasoning; including LLMs
1820	Ensembles of Low-Rank Expert Adapters Authors: Yinghao Li; Vianne R. Gao; Chao Zhang; MohamadAli Torkamani Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Model; LoRA; MoE; Ensembles; including LLMs
1821	Episodic Memories Generation and Evaluation Benchmark for Large Language Models Authors: Alexis Huet; Zied Ben Houidi; Dario Rossi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Episodic Memory Modeling; Large Language Models; Synthetic Benchmark Generation; Cue-based Retrieval; Temporal-Spatial Reasoning; Long-context Understanding; H…
1822	ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning Authors: Xiao Yu; Baolin Peng; Vineeth Vajipey; Hao Cheng; Michel Galley; Jianfeng Gao; Zhou Yu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: AI agent; tree search; self-improvement; including LLMs
1823	Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles Authors: Buu Phan; Brandon Amos; Itai Gat; Marton Havasi; Matthew J. Muckley; Karen Ullrich Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language models; Tokenization; Probability; Sampling; including LLMs
1824	FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows" Authors: Yifei Ming; Senthil Purushwalkam; Shrey Pandit; Zixuan Ke; Xuan-Phi Nguyen; 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: Large Language Models; Contextual LLM; Faithfulness; Hallucination; Benchmark and Evaluation; including LLMs
1825	Federated Residual Low-Rank Adaptation of Large Language Models Authors: Yunlu Yan; Chun-Mei Feng; Wangmeng Zuo; Rick Siow Mong Goh; Yong Liu; Lei Zhu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Languagel model; Federated Learning; Parameter-Efficient Fine-Tuning; including LLMs
1826	Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms Authors: Zhangheng LI; Keen You; Haotian Zhang; Di Feng; Harsh Agrawal; Xiujun Li; Mohana Prasad Sathya Moorthy; Jeffrey Nichols; Yinfei Yang; Zhe Gan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal LLM; UI Understanding; including LLMs
1827	Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models Authors: Raeid Saqur; Anastasis Kratsios; Florian Krach; Yannick Limmer; Blanka Horvath; Frank Rudzicz Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Optimal filtering; LLMs; mixture-of-experts; time-series-forecasting; financial-market-movement; including LLMs
1828	Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment Authors: Chenhang Cui; An Zhang; Yiyang Zhou; Zhaorun Chen; Gelei Deng; Huaxiu Yao; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Models; Alignment; Hallucination; including LLMs
1829	Fine-tuning can Help Detect Pretraining Data from Large Language Models Authors: Hengxiang Zhang; Songxin Zhang; Bingyi Jing; Hongxin Wei Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language models; Fine-tuning; Pretraining data detection; including LLMs
1830	Forgetting Transformer: Softmax Attention with a Forget Gate Authors: Zhixuan Lin; Evgenii Nikishin; Xu He; Aaron Courville Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: sequence model; long-context sequence modeling; Transformer; softmax attention; linear attention; RNN; language model; including LLMs
1831	Fourier Head: Helping Large Language Models Learn Complex Probability Distributions Authors: Nate Gillman; Daksh Aggarwal; Michael Freeman; Chen Sun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Fourier; smooth function; multi-class classification; including LLMs
1832	From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data Authors: Zheyang Xiong; Vasilis Papageorgiou; Kangwook Lee; Dimitris Papailiopoulos Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Synthetic Data; LLM finetuning; Long Context; Retrieval; including LLMs
1833	From Attention to Activation: Unraveling the Enigmas of Large Language Models Authors: Prannay Kaul; Chengcheng Ma; Ismail Elezi; Jiankang Deng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Transformers; Adam; Optimizer; Outliers; Attention; Quantization; including LLMs
1834	From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation Authors: Xingchen Wan; Han Zhou; Ruoxi Sun; Sercan O Arik Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: many-shot; in-context learning; large language models; including LLMs
1835	From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities Authors: Wanpeng Zhang; Zilong Xie; Yicheng Feng; Yijiang Li; Xingrun Xing; Sipeng Zheng; Zongqing Lu 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; Image Tokenizer; Token Merge; including LLMs
1836	Fundamental Limitations on Subquadratic Alternatives to Transformers Authors: Josh Alman; Hantao 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; Transformers; Fine-grained complexity theory; Document similarity; Hardness of Approximation; Fast attention computation; including LLMs
1837	Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency Authors: Jerry Yao-Chieh Hu; Wei-Po Wang; Ammar Gilani; Chenyang Li; Zhao Song; Han Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Foundation Model; Prompt Tuning; Transformer; Universal Approximation; Memory Capacity; Computational Efficiency; Fine-Grained Complexity; including LLMs
1838	G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model Authors: Jiahui Gao; Renjie Pi; Jipeng Zhang; Jiacheng Ye; Wanjun Zhong; Yufei Wang; Lanqing HONG; Jianhua Han; Hang Xu; Zhenguo Li; Lingpeng Kong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Mathematical Reasoning; including LLMs
1839	GOAL: A Generalist Combinatorial Optimization Agent Learner Authors: Darko Drakulic; Sofia Michel; Jean-Marc Andreoli Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: neural combinatorial optimization; generalist models; transfer learning; fine tuning; including LLMs
1840	GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers Authors: Sarkar Snigdha Sarathi Das; Ryo Kamoi; Bo Pang; Yusen Zhang; Caiming Xiong; Rui 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; Prompt Optimization; including LLMs
1841	GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models Authors: Seyed Iman Mirzadeh; Keivan Alizadeh; Hooman Shahrokhi; Oncel Tuzel; Samy Bengio; Mehrdad Farajtabar Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reasoning; Large Language Models; Mathematical Reasoning; Datasets; including LLMs
1842	Gated Delta Networks: Improving Mamba2 with Delta Rule Authors: Songlin Yang; Jan Kautz; Ali Hatamizadeh Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: linear RNN; state-space model; linear transformer; subquadractic model; linear attention; delta rule; mamba; including LLMs
1843	Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data Authors: Xinyi Wang; Antonis Antoniades; Yanai Elazar; Alfonso Amayuelas; Alon Albalak; Kexun Zhang; William Yang Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language model; pretraining data; n-gram; memorization; including LLMs
1844	Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass Authors: Tong Chen; Hao Fang; Patrick Xia; Xiaodong Liu; Benjamin Van Durme; Luke Zettlemoyer; Jianfeng Gao; Hao Cheng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language model; efficient adaptation; fine-tuning; prompting; including LLMs
1845	Generative Monoculture in Large Language Models Authors: Fan Wu; Emily Black; Varun Chandrasekaran Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: monoculture; bias; alignment; including LLMs
1846	Generative Representational Instruction Tuning Authors: Niklas Muennighoff; Hongjin SU; Liang Wang; Nan Yang; Furu Wei; Tao Yu; Amanpreet Singh; Douwe Kiela Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; instruction tuning; text embedding; including LLMs
1847	Generative Verifiers: Reward Modeling as Next-Token Prediction Authors: Lunjun Zhang; Arian Hosseini; Hritik Bansal; Mehran Kazemi; Aviral Kumar; Rishabh Agarwal Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM reasoning; reward models; verifiers; including LLMs
1848	Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval Authors: Sheryl Hsu; Omar Khattab; Chelsea Finn; Archit Sharma Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; Reinforcement Learning; Information Retrieval; including LLMs
1849	Gumbel Counterfactual Generation From Language Models Authors: Shauli Ravfogel; Anej Svete; Vésteinn Snæbjarnarson; Ryan Cotterell Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Causality; language models; counterfactuals; including LLMs
1850	HART: Efficient Visual Generation with Hybrid Autoregressive Transformer Authors: Haotian Tang; Yecheng Wu; Shang Yang; Enze Xie; Junsong Chen; Junyu Chen; Zhuoyang Zhang; Han Cai; Yao Lu; Song Han Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: autoregressive models; image generation; text-to-image; including LLMs
1851	HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts Authors: Mengqi Liao; Wei Chen; Junfeng Shen; Shengnan Guo; Huaiyu Wan 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-Task Learning; Parameter-Efficient Fine-tuning; Mixture of Experts; including LLMs
1852	HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing Authors: Huaijin Wu; Lianqiang Li; Hantao Huang; Tu Yi; Jihang Zhang; Minghui Yu; 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 Model; Decode; Key-Value Sharing; Critical Token; Hierarchical; including LLMs
1853	HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models Authors: Seanie Lee; Haebin Seong; Dong Bok Lee; Minki Kang; Xiaoyin Chen; Dominik Wagner; Yoshua Bengio; Juho Lee; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: knowledge distillation; safety guard; including LLMs
1854	Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models Authors: Pit Neitemeier; Björn Deiseroth; Constantin Eichenberg; Lukas Balles Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformer; autoregressive; generative; language modelling; tokenizer-free; byte-level; hierarchical; including LLMs
1855	How Does Critical Batch Size Scale in Pre-training? Authors: Hanlin Zhang; Depen Morwani; Nikhil Vyas; Jingfeng Wu; Difan Zou; Udaya Ghai; Dean Foster; Sham M. Kakade Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Pre-training; Language Models; Data Parallelism; Optimization; including LLMs
1856	Human-inspired Episodic Memory for Infinite Context LLMs Authors: Zafeirios Fountas; Martin Benfeghoul; Adnan Oomerjee; Fenia Christopoulou; Gerasimos Lampouras; Haitham Bou Ammar; Jun 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; long context; retrieval; episodic memory; event cognition; training-free; including LLMs
1857	Hyper-Connections Authors: Defa Zhu; Hongzhi Huang; Zihao Huang; Yutao Zeng; Yunyao Mao; Banggu Wu; Qiyang Min; Xun Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Network Architecture; Residual Connections; LLMs; Pre-training; including LLMs
1858	Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models Authors: Logan Cross; Violet Xiang; Agam Bhatia; Daniel LK Yamins; Nick Haber Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM agents; language agents; theory of mind; multi-agent; including LLMs
1859	Implicit In-context Learning Authors: Zhuowei Li; Zihao Xu; Ligong Han; Yunhe Gao; Song Wen; Di Liu; Hao Wang; Dimitris N. Metaxas Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; In-context Learning; Activation Engineering; Efficiency; including LLMs
1860	Implicit Search via Discrete Diffusion: A Study on Chess Authors: Jiacheng Ye; Zhenyu Wu; Jiahui Gao; Zhiyong Wu; Xin Jiang; Zhenguo Li; Lingpeng Kong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: discrete diffusion model; search; planning; chess; MCTS; including LLMs
1861	Improving Large Language Model Planning with Action Sequence Similarity Authors: Xinran Zhao; Hanie Sedghi; Bernd Bohnet; Dale Schuurmans; Azade Nova Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: planning with LLM; in-context learning (ICL); action sequence; including LLMs
1862	Improving Pretraining Data Using Perplexity Correlations Authors: Tristan Thrush; Christopher Potts; Tatsunori Hashimoto Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: pretraining data; data selection; natural language processing; statistics; large language models; including LLMs
1863	Improving Reasoning Performance in Large Language Models via Representation Engineering Authors: Bertram Højer; Oliver Simon Jarvis; Stefan Heinrich 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; Intelligence; Representation Learning; including LLMs
1864	Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters Authors: Kevin Li; Sachin Goyal; João D. Semedo; J Zico Kolter Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: vision language model; inference scaling; visual token compression; including LLMs
1865	Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving Authors: Yangzhen Wu; Zhiqing Sun; Shanda Li; Sean Welleck; Yiming Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Inference Scaling Law; Test-time Scaling; Compute-optimal Inference; LLM reasoning; including LLMs
1866	Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models Authors: Yinlam Chow; Guy Tennenholtz; Izzeddin Gur; Vincent Zhuang; Bo Dai; Aviral Kumar; Rishabh Agarwal; Sridhar Thiagarajan; Craig Boutilier; Aleksandra Faust Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Best-of-N sampling; Reinforcement Learning; Language models; including LLMs
1867	Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps Authors: Han Wang; Yilin Zhao; Dian Li; Xiaohan Wang; sinbadliu; Xuguang Lan; Hui 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; humor generation; reinforcement learning; including LLMs
1868	Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct Authors: Christopher Ackerman; Nina Panickssery Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Interpretability; AI; Activation Steering; Representation Engineering; Control; including LLMs
1869	Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning Authors: Simran Kaur; Simon Park; Anirudh Goyal; Sanjeev Arora Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: instruction tuning; high quality synthetic data; diverse synthetic data; including LLMs
1870	InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales Authors: Zhepei Wei; Wei-Lin Chen; Yu Meng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; retrieval-augmented generation; including LLMs
1871	Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models Authors: Cong Lu; Shengran Hu; Jeff Clune Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Exploration; Large Language Models; LLM agents; Open-endedness; including LLMs
1872	Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks Authors: Lehan Wang; Haonan Wang; Honglong Yang; Jiaji Mao; Zehong Yang; Jun Shen; Xiaomeng Li 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; Biomedicine; Region-Text; including LLMs
1873	Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs Authors: Feilong Tang; Zile Huang; Chengzhi Liu; Qiang Sun; Harry Yang; Ser-Nam Lim 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; Hallucination; including LLMs
1874	Is In-Context Learning Sufficient for Instruction Following in LLMs? Authors: Hao Zhao; Maksym Andriushchenko; Francesco Croce; Nicolas Flammarion Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; In-context Learning; Alignment; including LLMs
1875	Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist Authors: Zihao Zhou; Shudong Liu; Maizhen Ning; Wei Liu; Jindong Wang; Derek F. Wong; Xiaowei Huang; Qiufeng Wang; Kaizhu Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mathmatical Reasoning; Geometry reasoning; Evaluation; (Multi-Modal) LLMs; including LLMs
1876	It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation Authors: Sohan Patnaik; Milan Aggarwal; Sumit Bhatia; Balaji Krishnamurthy Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multi-LLM Deliberation; Smaller LLMs; Rationale Generation; Rationale Refinement; Selective Rationale Optimisation; Trainable; Task-Guided Rationale Selection;…
1877	Jamba: Hybrid Transformer-Mamba Language Models Authors: Barak Lenz; Opher Lieber; Alan Arazi; Amir Bergman; Avshalom Manevich; Barak Peleg; Ben Aviram; Chen Almagor; Clara Fridman; Dan Padnos; Daniel Gissin; Daniel Jannai; Dor Muhlgay;… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language models; state-space models; mamba; hybrid architecture; foundation models; including LLMs
1878	KBLaM: Knowledge Base augmented Language Model Authors: Xi Wang; Taketomo Isazawa; Liana Mikaelyan; James Hensman 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; including LLMs
1879	KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models Authors: Fan Wang; Juyong Jiang; Chansung Park; Sunghun Kim; Jing Tang 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; Singular Value Decomposition; including LLMs
1880	KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models Authors: Eunice Yiu; Maan Qraitem; Anisa Noor Majhi; Charlie Wong; Yutong Bai; Shiry Ginosar; Alison Gopnik; Kate Saenko Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large multimodal models; analogical reasoning; cognition; developmental psychology; including LLMs
1881	Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models Authors: Hanzhu Chen; Xu Shen; Jie Wang; Zehao Wang; Qitan Lv; Junjie He; Rong Wu; Feng Wu; 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; Knowledge Graph; Supervised Fine-tuning; including LLMs
1882	Kolmogorov-Arnold Transformer Authors: Xingyi Yang; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Kolmogorov-Arnold Network; Transformer; including LLMs
1883	LICO: Large Language Models for In-Context Molecular Optimization Authors: Tung Nguyen; Aditya Grover Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; molecular optimization; black-box optimization; foundation models; in-context learning; including LLMs
1884	LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases Authors: Armin Toroghi; Ali Pesaranghader; Tanmana Sadhu; Scott Sanner Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Commonsense reasoning; Logical inference; including LLMs
1885	LLMs Can Plan Only If We Tell Them Authors: Bilgehan Sel; Ruoxi Jia; Ming Jin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; decision-making; planning; including LLMs
1886	LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing Authors: Ruisi Cai; Saurav Muralidharan; Hongxu Yin; Zhangyang Wang; Jan Kautz; Pavlo Molchanov Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; elastic networks; training efficiency; inference efficiency; including LLMs
1887	Language Imbalance Driven Rewarding for Multilingual Self-improving Authors: Wen Yang; Junhong Wu; Chen Wang; Chengqing Zong; Jiajun 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; Self-Improving; Multilinguality; including LLMs
1888	Language Models Are Implicitly Continuous Authors: Samuele Marro; Davide Evangelista; X. Angelo Huang; Emanuele La Malfa; Michele Lombardi; Michael J. Wooldridge Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: llm; continuity; spatiotemporal transformers; linguistics; including LLMs
1889	Language Models Need Inductive Biases to Count Inductively Authors: Yingshan Chang; Yonatan Bisk Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Model Architecture; Inductive bias; Expressivity; Counting; Inductive Generalization; including LLMs
1890	Language models scale reliably with over-training and on downstream tasks Authors: Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhu… 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; over-training; task prediction; including LLMs
1891	Language-Image Models with 3D Understanding Authors: Jang Hyun Cho; Boris Ivanovic; Yulong Cao; Edward Schmerling; Yue Wang; Xinshuo Weng; Boyi Li; Yurong You; Philipp Kraehenbuehl; Yan Wang; Marco Pavone 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 with 3D Understanding; 3D Image Grounding from Image; including LLMs
1892	Large (Vision) Language Models are Unsupervised In-Context Learners Authors: Artyom Gadetsky; Andrei Atanov; Yulun Jiang; Zhitong Gao; Ghazal Hosseini Mighan; Amir Zamir; Maria Brbic Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: llm; unsupervised; in-context learning; few-shot learning; including LLMs
1893	Large Scale Knowledge Washing Authors: Yu Wang; Ruihan Wu; Zexue He; Xiusi Chen; Julian McAuley Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: knowledge unlearning; large language models; including LLMs
1894	Layerwise Recurrent Router for Mixture-of-Experts Authors: Zihan Qiu; Zeyu Huang; Shuang Cheng; Yizhi Zhou; Zili Wang; Ivan Titov; Jie Fu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixture of Expert; Router; LLMs; including LLMs
1895	Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning Authors: Seanie Lee; Minsu Kim; Lynn Cherif; David Dobre; Juho Lee; Sung Ju Hwang; Kenji Kawaguchi; Gauthier Gidel; Yoshua Bengio; Nikolay Malkin; Moksh Jain Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: red-teaming; LLM; diversity; including LLMs
1896	Learning How Hard to Think: Input-Adaptive Allocation of LM Computation Authors: Mehul Damani; Idan Shenfeld; Andi Peng; Andreea Bobu; Jacob Andreas Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; inference; scaling; test-time compute; including LLMs
1897	Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving Authors: Jin Zhang; Flood Sung; Zhilin Yang; Yang Gao; Chongjie Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; self-training; high-level abstraction; self-reflection; meta learning; anticipatory plans; including LLMs
1898	LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions Authors: Ravindran Kannan; Chiranjib Bhattacharyya; Praneeth Kacham; David Woodruff Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformers; attention; randomized linear algebra; leverage scores; Lewis weights; including LLMs
1899	LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging Authors: Ke Wang; Nikolaos Dimitriadis; Alessandro Favero; Guillermo Ortiz-Jimenez; François Fleuret; Pascal Frossard Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Model merging; Model editing; Catastrophic forgetting; Multi-task learning; OOD generalization; including LLMs
1900	LoLCATs: On Low-Rank Linearizing of Large Language Models Authors: Michael Zhang; Simran Arora; Rahul Chalamala; Benjamin Frederick Spector; Alan Wu; Krithik Ramesh; Aaryan Singhal; Christopher Re Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Linear Attention; Linearizing Transformers; Low-rank Adaptation; Large Language Models; Architecture Distillation; including LLMs
1901	Locality Alignment Improves Vision-Language Models Authors: Ian Connick Covert; Tony Sun; James Zou; Tatsunori Hashimoto Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal language models; vision-language models; locality; alignment; vision transformers; including LLMs
1902	Logical Consistency of Large Language Models in Fact-Checking Authors: Bishwamittra Ghosh; Sarah Hasan; Naheed Anjum Arafat; Arijit Khan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Logical consistency; Fact-checking in Knowledge graphs; including LLMs
1903	Long Context Compression with Activation Beacon Authors: Peitian Zhang; Zheng Liu; Shitao Xiao; Ninglu Shao; Qiwei Ye; Zhicheng Dou 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
1904	Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG Authors: Bowen Jin; Jinsung Yoon; Jiawei Han; Sercan O Arik 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; long-context; including LLMs
1905	LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement Authors: Zhifan Ye; Kejing Xia; Yonggan Fu; Xin Dong; Jihoon Hong; Xiangchi Yuan; Shizhe Diao; Jan Kautz; Pavlo Molchanov; Yingyan Celine 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; State Space Models; Long Context Understanding; including LLMs
1906	LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs Authors: Yushi Bai; Jiajie Zhang; Xin Lv; Linzhi Zheng; Siqi Zhu; Lei Hou; Yuxiao Dong; Jie Tang; Juanzi Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: long context; large language model; long-form generation; including LLMs
1907	Longhorn: State Space Models are Amortized Online Learners Authors: Bo Liu; Rui Wang; Lemeng Wu; Yihao Feng; Peter Stone; qiang liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Deep State Space Models; Linear Attention Models; Online Learning; Language Modeling; including LLMs
1908	Looking Inward: Language Models Can Learn About Themselves by Introspection Authors: Felix Jedidja Binder; James Chua; Tomek Korbak; Henry Sleight; John Hughes; Robert Long; Ethan Perez; Miles Turpin; Owain Evans Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Introspection; Large Language Models; Model awareness; Self-simulation; Generalization; Capability Evaluations; AI safety; including LLMs
1909	MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions Authors: Yekun Chai; Haoran Sun; Huang Fang; Shuohuan Wang; Yu Sun; Hua Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Human Alignment; Large Language Models; Reinforcement Learning; including LLMs
1910	MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine Authors: Renrui Zhang; Xinyu Wei; Dongzhi Jiang; Ziyu Guo; Yichi Zhang; Chengzhuo Tong; Jiaming Liu; Aojun Zhou; Shanghang Zhang; Peng Gao; Hongsheng 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; multimodal learning; mathematics; including LLMs
1911	MIND: Math Informed syNthetic Dialogues for Pretraining LLMs Authors: Syeda Nahida Akter; Shrimai Prabhumoye; John Kamalu; Sanjeev Satheesh; Eric Nyberg; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: pretraining; mathematical reasoning; synthetic dialogue; LLM; reasoning; including LLMs
1912	MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents Authors: Junpeng Yue; Xinrun Xu; Börje F. Karlsson; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: multimodal retrieval; interactive learning; MLLM embodied agent; including LLMs
1913	MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation Authors: Chenxi Wang; Xiang Chen; Ningyu Zhang; Bozhong Tian; Haoming Xu; Shumin Deng; Huajun Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Hallucination Mitigation; Multimodal Large Language Models; Decoding Strategy; including LLMs
1914	MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning Authors: Haotian Zhang; Mingfei Gao; Zhe Gan; Philipp Dufter; Nina Wenzel; Forrest Huang; Dhruti Shah; Xianzhi Du; Bowen Zhang; Yanghao Li; Sam Dodge; Keen You; Zhen Yang; Aleksei Timofeev… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal LLM; including LLMs
1915	MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA Authors: Hanrong Ye; Haotian Zhang; Erik Daxberger; Lin Chen; Zongyu Lin; Yanghao Li; Bowen Zhang; Haoxuan You; Dan Xu; Zhe Gan; Jiasen Lu; Yinfei Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: multimodal models; including LLMs
1916	MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba Authors: Seyedarmin Azizi; Souvik Kundu; Mohammad Erfan Sadeghi; Massoud Pedram Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mamba; Long Context Generalization; Discretization Step; SSM; including LLMs
1917	MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods Authors: Zukang Xu; Yuxuan Yue; Xing Hu; Dawei Yang; Zhihang Yuan; Zixu Jiang; Zhixuan Chen; JiangyongYu; XUCHEN; Sifan Zhou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mamba; Quantization; including LLMs
1918	MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model Authors: Junjie Li; Yang Liu; Weiqing Liu; Shikai Fang; Lewen Wang; Chang Xu; Jiang Bian Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Financial Market Simulation; Generative Foundation Model; Large Market Model (LMM); Controllable Simulation; Interactive Simulation; Market Impact; Reinforceme…
1919	MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs Authors: Andreas Opedal; Haruki Shirakami; Bernhard Schölkopf; Abulhair Saparov; Mrinmaya Sachan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Arithmetic reasoning; evaluation; proofs; large language models; including LLMs
1920	Matryoshka Multimodal Models Authors: Mu Cai; Jianwei Yang; Jianfeng Gao; Yong Jae Lee Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Model; matryoshka; efficiency; flexible; including LLMs
1921	MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection Authors: Bokai Lin; Zihao Zeng; Zipeng Xiao; Siqi Kou; TianQi Hou; Xiaofeng Gao; Hao Zhang; Zhijie Deng Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Inference Optimization; KV Cache Compression; Low-rank Projection; including LLMs
1922	Measuring And Improving Persuasiveness Of Large Language Models Authors: Somesh Kumar Singh; Yaman Kumar Singla; Harini S I; Balaji Krishnamurthy Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: llm; transsuasion; persuasion; PersuasionArena; PersuasionBench; advertising; marketing; behavioral science; behavior in the wild; including LLMs
1923	Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering Authors: Ziyu Zhao; Tao Shen; Didi Zhu; Zexi Li; Jing Su; Xuwu Wang; Fei Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Parameter Efficient Tuning; LoRA; Model Merging; including LLMs
1924	MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models Authors: Jingwei Xu; Junyu Lai; Yunpeng Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; LoRA; including LLMs
1925	Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid Authors: Mingxin Huang; Yuliang Liu; Dingkang Liang; Lianwen Jin; Xiang Bai 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; Document Understanding; including LLMs
1926	Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures Authors: Dang Nguyen; Wenhan Yang; Rathul Anand; Yu Yang; Baharan Mirzasoleiman Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Data selection; Memory efficient; Large Language Models; Data Mixtures; including LLMs
1927	MiniPLM: Knowledge Distillation for Pre-training Language Models Authors: Yuxian Gu; Hao Zhou; Fandong Meng; Jie Zhou; Minlie Huang 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; Pre-Training; including LLMs
1928	Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality Authors: Guanyu Zhou; Yibo Yan; Xin Zou; Kun Wang; Aiwei Liu; Xuming Hu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Modality Priors; Multimodal Hallucinations; Counterfactual Reasoning; Deciphering Attention Causality; including LLMs
1929	Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment Authors: Jinhao Jiang; Junyi Li; Xin Zhao; Yang Song; Tao Zhang; Ji-Rong Wen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; Continual Pre-training; knowledge distillation; including LLMs
1930	Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN Authors: Pengxiang Li; Lu Yin; Shiwei 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; layer normalization; mix-Layer Normalization; including LLMs
1931	Mixture of Parrots: Experts improve memorization more than reasoning Authors: Samy Jelassi; Clara Mohri; David Brandfonbrener; Alex Gu; Nikhil Vyas; Nikhil Anand; David Alvarez-Melis; Yuanzhi Li; Sham M. Kakade; eran malach Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixture of Experts; memorization; reasoning; including LLMs
1932	MoLEx: Mixture of Layer Experts for Fine-tuning with Sparse Upcycling Authors: Rachel Teo; Tan Minh Nguyen 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; mixture of experts; sparse upcycling; including LLMs
1933	Model Equality Testing: Which Model is this API Serving? Authors: Irena Gao; Percy Liang; Carlos Guestrin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: API monitoring; model shift; two-sample testing; including LLMs
1934	Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions Authors: Michael JQ Zhang; W. Bradley Knox; Eunsol Choi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Clarifying Questions; QA; Ambiguity; RLHF; including LLMs
1935	Monte Carlo Planning with Large Language Model for Text-Based Game Agents Authors: Zijing Shi; Meng Fang; Ling 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; Monte Carlo tree search; Text-based games; including LLMs
1936	Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning Authors: Xiaochuan Li; Zichun Yu; Chenyan Xiong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: synthetic data; data influence; instruction tuning; including LLMs
1937	MuPT: A Generative Symbolic Music Pretrained Transformer Authors: Xingwei Qu; yuelin bai; Yinghao Ma; Ziya Zhou; Ka Man Lo; Jiaheng Liu; Ruibin Yuan; Lejun Min; Xueling Liu; Tianyu Zhang; Xeron Du; Shuyue Guo; Yiming Liang; Yizhi LI; Shangda Wu;… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Pretrained Transformer; SMT-ABC Notation; SMS Law; including LLMs
1938	Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains Authors: Vighnesh Subramaniam; Yilun Du; Joshua B. Tenenbaum; Antonio Torralba; Shuang Li; Igor Mordatch Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Language Models; Multi-agent Interaction; Self Improvement; including LLMs
1939	Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning Authors: Gang Liu; Michael Sun; Wojciech Matusik; Meng Jiang; Jie Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal Large Languge Models; Large Languge Models; Graph Diffusion Models; Inverse Molecular Design; Retrosynthesis; including LLMs
1940	Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning Authors: Yang You; Yixin Li; Congyue Deng; Yue Wang; Leonidas Guibas Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Foundation Models; 3D Representation Learning; Fine-tuning; 3D Equivariance; including LLMs
1941	Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solver Authors: Zhenting Qi; Mingyuan MA; Jiahang Xu; Li Lyna Zhang; 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; Reasoning; including LLMs
1942	Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning Authors: Anh Tong; Thanh Nguyen-Tang; Dongeun Lee; Duc Nguyen; Toan Tran; David Leo Wright Hall; Cheongwoong Kang; Jaesik Choi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Neural ODEs; Transformers; Adaptive finetune; including LLMs
1943	NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models Authors: Zheng Yi Ho; Siyuan Liang; Sen Zhang; Yibing Zhan; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Hallucination Mitigation; Large Language Models; TruthfulQA; Representation Editing; Multiple Choice Question Answering; Attention Heads; including LLMs
1944	Non-myopic Generation of Language Models for Reasoning and Planning Authors: Chang Ma; Haiteng Zhao; Junlei Zhang; Junxian He; Lingpeng Kong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM reasoning; agents; optimal control; including LLMs
1945	Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning Authors: Nan Jiang; Chengxiao Wang; Kevin Liu; Xiangzhe Xu; Lin Tan; Xiangyu Zhang; Petr Babkin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; hierarchical attention; contrastive learning; assembly code; including LLMs
1946	OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition Authors: Stephen Zhang; Vardan Papyan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: network pruning; low-rank; compression; sparsification; large language models; outlier features; including LLMs
1947	OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models Authors: Junda Wu; Xintong Li; Ruoyu Wang; Yu Xia; Yuxin Xiong; Jianing Wang; Tong Yu; Xiang Chen; Branislav Kveton; Lina Yao; Jingbo Shang; Julian McAuley 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 models; offline policy evaluation; agentic; including LLMs
1948	OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting Authors: Xing Hu; Yuan Cheng; Dawei Yang; Zhixuan Chen; Zukang Xu; JiangyongYu; XUCHEN; Zhihang Yuan; Zhe jiang; Sifan 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; Quantization; including LLMs
1949	ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding Authors: Indraneil Paul; Haoyi Yang; Goran Glavaš; Kristian Kersting; Iryna Gurevych Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: code generation; code obfuscation; language modelling; code lm; including LLMs
1950	OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs Authors: Jitai Hao; Yuke Zhu; Tian Wang; Jun Yu; Xin Xin; Bo Zheng; Zhaochun Ren; Sheng Guo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient LLMs; KV cache; Long Context LLMs; including LLMs
1951	On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation Authors: Xinyu Ye; Hao Xiong; Jianhao Huang; Ziang Chen; Jia Wang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Quantum machine learning; Mixed-integer linear programming; Graph learning; including LLMs
1952	On Speeding Up Language Model Evaluation Authors: Jin Peng Zhou; Christian K Belardi; Ruihan Wu; Travis Zhang; Carla P Gomes; Wen Sun; Kilian Q Weinberger 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; matrix factorization; including LLMs
1953	On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models Authors: Xu-Hui Liu; Yali Du; Jun Wang; Yang 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; LoRA; optimization; including LLMs
1954	On the self-verification limitations of large language models on reasoning and planning tasks Authors: Kaya Stechly; Karthik Valmeekam; Subbarao Kambhampati 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; Planning; Self-Critique; Verification; including LLMs
1955	One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Authors: Linbao Li; Yannan Liu; Daojing He; YU 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; jailbreak attack; robustness; including LLMs
1956	OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees Authors: Kaiyan Zhang; Jiayuan Zhang; Haoxin Li; Xuekai Zhu; Ermo Hua; Xingtai Lv; Ning Ding; Biqing Qi; Bowen 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; reward models; open-domain instruction following; including LLMs
1957	Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference Authors: Zongyue Qin; Ziniu Hu; Zifan He; Neha Prakriya; Jason Cong; Yizhou Sun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Inference; Speculative Decoding; including LLMs
1958	Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution Authors: Zuyan Liu; Yuhao Dong; Ziwei Liu; Winston Hu; Jiwen Lu; Yongming Rao 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; Multi-Modal Understanding; Arbitary Resolution; including LLMs
1959	PEARL: Towards Permutation-Resilient LLMs Authors: Liang CHEN; Li Shen; Yang Deng; Xiaoyan Zhao; Bin Liang; Kam-Fai Wong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: In-Context Learning; Large Language Models; Instruction Tuning; Robustness; Attack; Distributionally Robust Optimization; Optimal Transport; Sinkhorn Algorithm…
1960	PICASO: Permutation-Invariant Context Composition with State Space Models Authors: Tian Yu Liu; Alessandro Achille; Matthew Trager; Aditya Golatkar; Luca Zancato; Stefano Soatto Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: State Space Models; Composition; Retrieval; including LLMs
1961	PaPaGei: Open Foundation Models for Optical Physiological Signals Authors: Arvind Pillai; Dimitris Spathis; Fahim Kawsar; Mohammad Malekzadeh Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: self-supervised learning; foundation models; time series; Photoplethysmography (PPG); health; physiology; including LLMs
1962	Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages Authors: Xiang Yue; Yueqi Song; Akari Asai; Seungone Kim; Jean de Dieu Nyandwi; Simran Khanuja; Anjali Kantharuban; Lintang Sutawika; Sathyanarayanan Ramamoorthy; Graham Neubig Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multilingual; Multimodal; LLMs; including LLMs
1963	Pareto Prompt Optimization Authors: Guang Zhao; Byung-Jun Yoon; Gilchan Park; Shantenu Jha; Shinjae Yoo; Xiaoning Qian Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Prompt Optimization; Multiobjective Optimization; Reinforcement Learning; DPO; including LLMs
1964	Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models Authors: Zachary Ankner; Cody Blakeney; Kartik Sreenivasan; Max Marion; Matthew L Leavitt; Mansheej Paul Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Data Filtering; Data Pruning; Pretraining; Perplexity; Large Language Model; LLM; including LLMs
1965	Physics of Language Models: Part 3.2, Knowledge Manipulation Authors: Zeyuan Allen-Zhu; Yuanzhi Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: knowledge manipulation; language models; generative models; reversal curse; including LLMs
1966	Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming Authors: Yilun Hao; Yang Zhang; Chuchu Fan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Planning; Code generation; LLM Tool-Use; including LLMs
1967	PolaFormer: Polarity-aware Linear Attention for Vision Transformers Authors: Weikang Meng; Yadan Luo; Xin Li; Dongmei Jiang; Zheng Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Linear attention; polarity-aware attention; efficient transformer; including LLMs
1968	Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models Authors: Zhijian Zhuo; Ya Wang; Yutao Zeng; Xiaoqing Li; Xun Zhou; Jinwen Ma Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: activation function; transformer; pre-training; large language models; including LLMs
1969	Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation Authors: Jasper Dekoninck; Maximilian Baader; Martin Vechev 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 evaluation; rating; including LLMs
1970	Post-hoc Reward Calibration: A Case Study on Length Bias Authors: Zeyu Huang; Zihan Qiu; Zili Wang; Edoardo Ponti; Ivan Titov Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RLHF; Reward Model; Length Bias; including LLMs
1971	Preserving Diversity in Supervised Fine-Tuning of Large Language Models Authors: Ziniu Li; Congliang Chen; Tian Xu; Zeyu Qin; Jiancong Xiao; Zhi-Quan Luo; Ruoyu Sun 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; diversity; test-time scaling; including LLMs
1972	Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Authors: Linh Tran; Wei Sun; Stacy Patterson; Ana Milanova 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; Federated Prompt Learning; Personalization; Differential Privacy; including LLMs
1973	Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models Authors: Laura Ruis; Maximilian Mozes; Juhan Bae; Siddhartha Rao Kamalakara; Dwaraknath Gnaneshwar; Acyr Locatelli; Robert Kirk; Tim Rocktäschel; Edward Grefenstette; Max Bartolo 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; reasoning; pretraining data; influence functions; mathematical reasoning; including LLMs
1974	QERA: an Analytical Framework for Quantization Error Reconstruction Authors: Cheng Zhang; Jeffrey T. H. Wong; Can Xiao; George Anthony Constantinides; Yiren Zhao 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; PEFT; LoRA; QLoRA; quantization; post-training quantization; PTQ; low-rank approximation; including LLMs
1975	Quantifying Generalization Complexity for Large Language Models Authors: Zhenting Qi; Hongyin Luo; Xuliang Huang; Zhuokai Zhao; Yibo Jiang; Xiangjun Fan; Himabindu Lakkaraju; James R. Glass Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; generalization; evaluation; including LLMs
1976	Quantized Spike-driven Transformer Authors: Xuerui Qiu; Malu Zhang; Jieyuan Zhang; Wenjie Wei; Honglin Cao; Junsheng Guo; Rui-Jie Zhu; Yimeng Shan; Yang Yang; Haizhou Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: including LLMs
1977	Quantum-PEFT: Ultra parameter-efficient fine-tuning Authors: Toshiaki Koike-Akino; Francesco Tonin; Yongtao Wu; Frank Zhengqing Wu; Leyla Naz Candogan; Volkan Cevher 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; lora; quantum machine learning; orthogonality constraints; including LLMs
1978	Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model Authors: Chaochen Gao; Xing W; Qi Fu; Songlin Hu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: longcontext; pre-training; scaling; including LLMs
1979	R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference Authors: Zhenyu Zhang; Zechun Liu; Yuandong Tian; Harshit Khaitan; Zhangyang Wang; Steven 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; Efficient Inference; Activation Sparsity; including LLMs
1980	REMEDY: Recipe Merging Dynamics in Large Vision-Language Models Authors: Didi Zhu; Yibing Song; Tao Shen; Ziyu Zhao; Jinluan Yang; Min Zhang; Chao Wu 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 Models; Zero-shot Generalization; Model Merging; including LLMs
1981	ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL Authors: Yang Qin; Chao Chen; Zhihang Fu; Ze Chen; Dezhong Peng; Peng Hu; Jieping Ye Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Text-to-SQL; LLMs; including LLMs
1982	RRM: Robust Reward Model Training Mitigates Reward Hacking Authors: Tianqi Liu; Wei Xiong; Jie Ren; Lichang Chen; Junru Wu; Rishabh Joshi; Yang Gao; Jiaming Shen; Zhen Qin; Tianhe Yu; Daniel Sohn; Anastasia Makarova; Jeremiah Zhe Liu; Yuan Liu; Bi… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Reward model; RLHF; Alignment; including LLMs
1983	RaSA: Rank-Sharing Low-Rank Adaptation Authors: Zhiwei He; Zhaopeng Tu; Xing Wang; Xingyu Chen; Zhijie Wang; Jiahao Xu; Tian Liang; Wenxiang Jiao; Zhuosheng Zhang; Rui Wang 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
1984	Radar: Fast Long-Context Decoding for Any Transformer Authors: Yongchang Hao; Mengyao Zhai; Hossein Hajimirsadeghi; Sepidehsadat Hosseini; Frederick Tung Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Long-context decoding; Large language models; Inference acceleration; Random features; including LLMs
1985	ReAttention: Training-Free Infinite Context with Finite Attention Scope Authors: Xiaoran Liu; Ruixiao Li; Zhigeng Liu; Qipeng Guo; Yuerong Song; Kai Lv; Hang Yan; Linlin Li; Qun Liu; Xipeng Qiu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: long context; length extrapolation; large language model; natural language processing; including LLMs
1986	ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing Authors: Ziteng Wang; Jun Zhu; Jianfei Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Mixture-of-Experts; Differentiable Routing; Sparsity; including LLMs
1987	Real2Code: Reconstruct Articulated Objects via Code Generation Authors: Zhao Mandi; Yijia Weng; Dominik Bauer; Shuran Song Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: articulated objects; code generation LLMs; foundation models; including LLMs
1988	Reasoning of Large Language Models over Knowledge Graphs with Super-Relations Authors: Song Wang; Junhong Lin; Xiaojie Guo; Julian Shun; Jundong Li; Yada Zhu 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
1989	Reasoning with Latent Thoughts: On the Power of Looped Transformers Authors: Nikunj Saunshi; Nishanth Dikkala; Zhiyuan Li; Sanjiv Kumar; Sashank J. Reddi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: looped models; reasoning; language model; iterative algorithm; inductive bias; scaling; including LLMs
1990	Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon Authors: USVSN Sai Prashanth; Alvin Deng; Kyle O'Brien; Jyothir S V; Mohammad Aflah Khan; Jaydeep Borkar; Christopher A. Choquette-Choo; Jacob Ray Fuehne; Stella Biderman; Tracy Ke; Kather… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: memorization; ontologies; language modelling; including LLMs
1991	Reconstructive Visual Instruction Tuning Authors: Haochen Wang; Anlin Zheng; Yucheng Zhao; Tiancai Wang; Zheng Ge; Xiangyu Zhang; Zhaoxiang Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Multimodal Models; Multimodal Comprehension; including LLMs
1992	Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Authors: Jihyo Kim; Seulbi Lee; Sangheum Hwang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Out-of-distribution detection; Trustworthiness; Vision-language models; Foundation models; including LLMs
1993	Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer Authors: Ningyuan Zhang; Jie Lu; Keqiuyin Li; Zhen Fang; Guangquan Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Cross-Modality; Prompt Transfer; including LLMs
1994	Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery Authors: Yuxuan Zhou; Xien Liu; Chen Ning; Xiao Zhang; Ji Wu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM Evaluation; Medical Evaluation; Large Language Model; including LLMs
1995	Rethinking Invariance in In-context Learning Authors: Lizhe Fang; Yifei Wang; Khashayar Gatmiry; Lei Fang; Yisen Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: In-context Learning; Permuation Invariance; including LLMs
1996	Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models Authors: Zhengfeng Lai; Vasileios Saveris; Chen Chen; Hong-You Chen; Haotian Zhang; Bowen Zhang; Wenze Hu; Juan Lao Tebar; Zhe Gan; Peter Grasch; Meng Cao; Yinfei Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal; pre-training; image-text data; including LLMs
1997	Revisiting Convolution Architecture in the Realm of DNA Foundation Models Authors: Yu Bo; Weian Mao; Yanjun Shao; Weiqiang Bai; Peng Ye; Xinzhu Ma; Junbo Zhao; 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: DNA modeling; foundation model; Genomic Language Model; Representation Learning; including LLMs
1998	RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction Authors: Tanqiu Jiang; Zian Wang; Jiacheng Liang; Changjiang Li; Yuhui Wang; Ting Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Jailbreak Attack; Large Language Model; KV cache optimization; including LLMs
1999	Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions Authors: Zhihao He; Hang Yu; Zi Gong; Shizhan Liu; Jianguo Li; Weiyao 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; Fixed-Size Hidden States; Data-Dependent Tempered Selection; Sliding Window Shared-Key Attention; including LLMs
2000	Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference Authors: Ke Yi; Zengke Liu; jianwei zhang; Chengyuan Li; Tong Zhang; Junyang Lin; 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; Quantization; INT4 inference; including LLMs
2001	Round and Round We Go! What makes Rotary Positional Encodings useful? Authors: Federico Barbero; Alex Vitvitskyi; Christos Perivolaropoulos; Razvan Pascanu; Petar Veličković Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Transformers; Positional Encodings; Rotary Positional Encodings; including LLMs
2002	SMT: Fine-Tuning Large Language Models with Sparse Matrices Authors: Haoze He; Juncheng B Li; Xuan Jiang; Heather Miller Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Parameter-efficient Finetuning; Large Language Model; Large Language Model Systm; including LLMs
2003	SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training Authors: Tianjin Huang; Ziquan Zhu; Gaojie Jin; Lu Liu; Zhangyang Wang; Shiwei Liu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Gradient Spikes; Spike-Aware Adam; LLMs; including LLMs
2004	SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models Authors: Jiale Cheng; Xiao Liu; Cunxiang Wang; Xiaotao Gu; Yida Lu; Dan Zhang; Yuxiao Dong; Jie Tang; Hongning Wang; Minlie Huang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language model; instruction-following; self-improvement; including LLMs
2005	STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs Authors: Peijie Dong; Lujun Li; Yuedong Zhong; DaYou Du; Ruibo FAN; Yuhan Chen; Zhenheng Tang; Qiang Wang; Wei Xue; Yike Guo; Xiaowen Chu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: structured sparsification; language model; model compression; binary neural networks; computational efficiency; including LLMs
2006	SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression Authors: Xin Wang; Yu Zheng; Zhongwei Wan; Mi 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; Post-training Model Compression; including LLMs
2007	SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration Authors: Jintao Zhang; Jia wei; Pengle Zhang; Jun Zhu; Jianfei Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Attention; Quantization; quantized attention; inference acceleration; including LLMs
2008	Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking Authors: Paria Rashidinejad; Yuandong Tian Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: RLHF; Preference Optimization; Reinforcement Learning; Alignment; Large Language Models; including LLMs
2009	Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling Authors: Liliang Ren; Yang Liu; Yadong Lu; yelong shen; Chen Liang; Weizhu 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; Length Extrapolation; Efficiency; Hybrid State Space Models; including LLMs
2010	Scaling Autonomous Agents via Automatic Reward Modeling And Planning Authors: Zhenfang Chen; Delin Chen; Rui Sun; Wenjun Liu; Chuang Gan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: agents; large language models; planning; including LLMs
2011	Scaling Diffusion Language Models via Adaptation from Autoregressive Models Authors: Shansan Gong; Shivam Agarwal; Yizhe Zhang; Jiacheng Ye; Lin Zheng; Mukai Li; Chenxin An; Peilin Zhao; Wei Bi; Jiawei Han; Hao Peng; Lingpeng Kong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: diffusion models; diffusion language models; text diffusion models; discrete diffusion models; including LLMs
2012	Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation Authors: Linda He; Jue WANG; Maurice Weber; Shang Zhu; Ben Athiwaratkun; Ce 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; Instruction-Tuning Data; including LLMs
2013	Scaling Large Language Model-based Multi-Agent Collaboration Authors: Chen Qian; Zihao Xie; YiFei Wang; Wei Liu; Kunlun Zhu; Hanchen Xia; Yufan Dang; Zhuoyun Du; Weize Chen; Cheng Yang; Zhiyuan Liu; Maosong Sun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Autonomous Agent; Multi-Agent Collaboration; Interactive Reasoning; including LLMs
2014	Scaling Laws for Downstream Task Performance in Machine Translation Authors: Berivan Isik; Natalia Ponomareva; Hussein Hazimeh; Dimitris Paparas; Sergei Vassilvitskii; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: scaling laws; transfer learning; machine translation; large language models; data valuation; including LLMs
2015	Scaling Long Context Training Data by Long-Distance Referrals Authors: Yonghao Zhuang; Lanxiang Hu; Longfei Yun; Souvik Kundu; Zhengzhong Liu; Eric P. Xing; Hao Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: long context training; continue training; dataset; including LLMs
2016	Scaling Optimal LR Across Token Horizons Authors: Johan Bjorck; Alon Benhaim; Vishrav Chaudhary; Furu Wei; Xia Song Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; scaling laws; hyperparameters; mup; including LLMs
2017	Scaling Speech-Text Pre-training with Synthetic Interleaved Data Authors: Aohan Zeng; Zhengxiao Du; Mingdao Liu; Lei Zhang; shengmin jiang; Yuxiao Dong; Jie Tang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; speech language model; spoken chatbots; including LLMs
2018	Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study Authors: Shawn Tan; Songlin Yang; Aaron Courville; Rameswar Panda; Yikang Shen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformer; attention; stick-breaking; softmax; length extrapolation; including LLMs
2019	Scaling Wearable Foundation Models Authors: Girish Narayanswamy; Xin Liu; Kumar Ayush; Yuzhe Yang; Xuhai Xu; shun liao; Jake Garrison; Shyam A. Tailor; Jacob Sunshine; Yun Liu; Tim Althoff; Shrikanth Narayanan; Pushmeet Koh… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Health; Foundation Model; Scaling; Wearables; Sensors; including LLMs
2020	SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins Authors: Jongwoo Ko; Saket Dingliwal; Bhavana Ganesh; Sailik Sengupta; Sravan Babu Bodapati; Aram Galstyan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Preference Alignment; Large Language Models; Implicit Reward Margin; Sample Selection; Preference Bootstrapping; including LLMs
2021	Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer Authors: Yanjun Zhao; Sizhe Dang; Haishan Ye; Guang Dai; Yi Qian; Ivor Tsang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; deep learning; zeroth order optimizer; including LLMs
2022	SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators Authors: Rasoul Shafipour; David Harrison; Maxwell Horton; JEFFREY MARKER; Houman Bedayat; Sachin Mehta; Mohammad Rastegari; Mahyar Najibi; Saman Naderiparizi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Model Compression; Large Language Models; Post-Training Quantization; including LLMs
2023	Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models Authors: Angela Lopez-Cardona; Carlos Segura; Alexandros Karatzoglou; Sergi Abadal; Ioannis Arapakis Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: reward model; RLHF; visual attention; LLMs; eye tracking; implicit feedback; including LLMs
2024	SegLLM: Multi-round Reasoning Segmentation with Large Language Models Authors: XuDong Wang; Shaolun Zhang; Shufan Li; Kehan Li; Konstantinos Kallidromitis; Yusuke Kato; Kazuki Kozuka; Trevor Darrell Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; Reasoning Segmentation; Muiti-round Conversations; including LLMs
2025	Selective Attention Improves Transformer Authors: Yaniv Leviathan; Matan Kalman; Yossi Matias Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: selective attention; attention; transformer; llm; language model; including LLMs
2026	Selective Induction Heads: How Transformers Select Causal Structures in Context Authors: Francesco D'Angelo; Francesco Croce; Nicolas Flammarion Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Transformers; Markov chain; interpretability; attention; in-context learning; including LLMs
2027	Self-Boosting Large Language Models with Synthetic Preference Data Authors: Qingxiu Dong; Li Dong; Xingxing Zhang; Zhifang Sui; Furu Wei Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: preference optimization; synthetic data; LLM alignment; including LLMs
2028	Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models Authors: Ce Zhang; Zifu Wan; Zhehan Kan; Martin Q. Ma; Simon Stepputtis; Deva Ramanan; Russ Salakhutdinov; Louis-Philippe Morency; 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: Large Vision-Language Models; Hallucinations; Generative Feedback; including LLMs
2029	Self-Evolving Multi-Agent Collaboration Networks for Software Development Authors: Yue Hu; Yuzhu Cai; Yaxin Du; Xinyu Zhu; Xiangrui Liu; Zijie Yu; Yuchen Hou; Shuo Tang; Siheng Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Software development; LLM; Multi-agent collaboration; including LLMs
2030	Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts Authors: Junmo Kang; Leonid Karlinsky; Hongyin Luo; Zhen Wang; Jacob A Hansen; James R. Glass; David Daniel Cox; Rameswar Panda; Rogerio Feris; Alan Ritter Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Efficient Specialization of LLMs; Self-Improving; Mixture of Experts; including LLMs
2031	Self-Updatable Large Language Models by Integrating Context into Model Parameters Authors: Yu Wang; Xinshuang Liu; Xiusi Chen; Sean O'Brien; Junda Wu; Julian McAuley 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 Injection; Self-Updatable LLMs; including LLMs
2032	Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs Authors: Yuxiao Lu; Arunesh Sinha; Pradeep Varakantham Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Safe Large Language Model; Earth Mover Distance; Supervised Fine-tuning; including LLMs
2033	Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning Authors: Md Rifat Arefin; Gopeshh Subbaraj; Nicolas Gontier; Yann LeCun; Irina Rish; Ravid Shwartz-Ziv; Christopher Pal Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; Representation Learning; Reasoning; Representation Collapse; including LLMs
2034	Should VLMs be Pre-trained with Image Data? Authors: Sedrick Keh; Jean Mercat; Samir Yitzhak Gadre; Kushal Arora; Igor Vasiljevic; Benjamin Burchfiel; Shuran Song; Russ Tedrake; Thomas Kollar; Ludwig Schmidt; Achal Dave Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: vision language models; pre-training; fine-tuning; including LLMs
2035	Show-o: One Single Transformer to Unify Multimodal Understanding and Generation Authors: Jinheng Xie; Weijia Mao; Zechen Bai; David Junhao Zhang; Weihao Wang; Kevin Qinghong Lin; Yuchao Gu; Zhijie Chen; Zhenheng Yang; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Multimodal understanding and generation; large language model; including LLMs
2036	Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling Authors: Hritik Bansal; Arian Hosseini; Rishabh Agarwal; Vinh Q. Tran; Mehran Kazemi Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large and small language models; reasoning; math; compute-optimal; sampling; supervised finetuning; including LLMs
2037	Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model Authors: Longrong Yang; Dong Shen; Chaoxiang Cai; Fan Yang; Tingting Gao; Di ZHANG; Xi 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 Model (LVLM); Mixture-of-Expert (MoE); token-level gradient; conflicting token; including LLMs
2038	Specialized Foundation Models Struggle to Beat Supervised Baselines Authors: Zongzhe Xu; Ritvik Gupta; Wenduo Cheng; Alexander Shen; Junhong Shen; Ameet Talwalkar; Mikhail Khodak Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: foundation models; supervised learning; neural architecture search; hyperparameter optimization; convolutional networks; autoregressive models; genomics; satel…
2039	SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking Authors: Xingrun Xing; Boyan Gao; Zheng Liu; David A. Clifton; Shitao Xiao; Wanpeng Zhang; Li Du; Zheng Zhang; Guoqi Li; Jiajun Zhang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: spiking neural network; energy efficient language model; brain-inspired computing; including LLMs
2040	SpinQuant: LLM Quantization with Learned Rotations Authors: Zechun Liu; Changsheng Zhao; Igor Fedorov; Bilge Soran; Dhruv Choudhary; Raghuraman Krishnamoorthi; Vikas Chandra; Yuandong Tian; Tijmen Blankevoort Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; quantization; outlier reduction; rotation; including LLMs
2041	Steering Large Language Models between Code Execution and Textual Reasoning Authors: Yongchao Chen; Harsh Jhamtani; Srinagesh Sharma; Chuchu Fan; Chi 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; Code Interpreter; Code/text generation; Agent; Textual reasoning; including LLMs
2042	Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo Authors: Shengyu Feng; Xiang Kong; Shuang Ma; Aonan Zhang; Dong Yin; Chong Wang; Ruoming Pang; Yiming 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; Twisted Sequential Monte Carlo; Reasoning; including LLMs
2043	Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs Authors: Shane Bergsma; Nolan Simran Dey; Gurpreet Gosal; Gavia Gray; Daria Soboleva; Joel Hestness 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); AdamW optimizer; Weight decay; Compute-optimal training; including LLMs
2044	Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search Authors: Jonathan Light; Min Cai; Weiqin Chen; Guanzhi Wang; Xiusi Chen; Wei Cheng; Yisong Yue; Ziniu Hu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLMs; games; search; self-improvement; self-play; RL; agent; multi-agent; planning; decision-making; Monte Carlo Tree Search; hierarchical learning; strategy o…
2045	Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking Authors: Benjamin Feuer; Micah Goldblum; Teresa Datta; Sanjana Nambiar; Raz Besaleli; Samuel Dooley; Max Cembalest; John P Dickerson Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; large language model; alignment; post-training; benchmarking; evaluation; including LLMs
2046	Sufficient Context: A New Lens on Retrieval Augmented Generation Systems Authors: Hailey Joren; Jianyi Zhang; Chun-Sung Ferng; Da-Cheng Juan; Ankur Taly; Cyrus Rashtchian Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: retrieved augmented generation; RAG; LLMs; selective generation; sufficient context; factuality; including LLMs
2047	SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction Authors: Ling Yang; Zhaochen Yu; Tianjun Zhang; Minkai Xu; Joseph E. Gonzalez; Bin CUI; Shuicheng 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; LLM Reasoning; including LLMs
2048	Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Authors: Yuxiang Lu; Shengcao Cao; Yu-Xiong Wang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Foundation Model; Multi-Task Learning; Knowledge Distillation; including LLMs
2049	System 1.x: Learning to Balance Fast and Slow Planning with Language Models Authors: Swarnadeep Saha; Archiki Prasad; Justin Chen; Peter Hase; Elias Stengel-Eskin; Mohit Bansal Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; Planning; including LLMs
2050	TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice Authors: Shen Yan; Xingyan Bin; Sijun Zhang; Yisen Wang; Zhouchen 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; Mixture of Experts; including LLMs
2051	TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data Authors: Jeremy Andrew Irvin; Emily Ruoyu Liu; Joyce C. Chen; Ines Dormoy; Jinyoung Kim; Samar Khanna; Zhuo Zheng; Stefano Ermon Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: vision-language model; large multimodal model; satellite imagery; earth observation; change detection; including LLMs
2052	TLDR: Token-Level Detective Reward Model for Large Vision Language Models Authors: Deqing Fu; Tong Xiao; Rui Wang; Wang Zhu; Pengchuan Zhang; Guan Pang; Robin Jia; Lawrence Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: vision language model; multimodal; reward model; including LLMs
2053	TULIP: Token-length Upgraded CLIP Authors: Ivona Najdenkoska; Mohammad Mahdi Derakhshani; Yuki M Asano; Nanne Van Noord; Marcel Worring; 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: Vision-Language Models; CLIP; Position Encodings; Long captioning; including LLMs
2054	Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling Authors: David Grangier; Simin Fan; Skyler Seto; Pierre Ablin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: task-adaptive pretraining; language models; importance sampling; domain adaptation; including LLMs
2055	Teaching Human Behavior Improves Content Understanding Abilities Of VLMs Authors: Somesh Kumar Singh; Harini S I; Yaman Kumar Singla; Changyou Chen; Rajiv Ratn Shah; Veeky Baths; Balaji Krishnamurthy Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; human behavior; content understanding; behavioral science; vision language models; large language models; memorability; video understanding; image underst…
2056	Teaching LLMs How to Learn with Contextual Fine-Tuning Authors: Younwoo Choi; Muhammad Adil Asif; Ziwen Han; John Willes; Rahul Krishnan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Models; including LLMs
2057	Temporal Reasoning Transfer from Text to Video Authors: Lei Li; Yuanxin Liu; Linli Yao; Peiyuan Zhang; Chenxin An; Lean Wang; Xu Sun; Lingpeng Kong; Qi Liu 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; Temporal Reasoning; including LLMs
2058	The AdEMAMix Optimizer: Better, Faster, Older Authors: Matteo Pagliardini; Pierre Ablin; David Grangier Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Optimization; LLM; Deep Learning; Momentum; including LLMs
2059	The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation Authors: Fredrik Carlsson; Fangyu Liu; Daniel Ward; Murathan Kurfali; Joakim Nivre Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: LLM; NLP; fine-tuning; open-ended text generation; Hyperfitting; Phenomenon; Neural Networks; Early-stopping; Overfitting; including LLMs
2060	The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws Authors: Tian Jin; Ahmed Imtiaz Humayun; Utku Evci; Suvinay Subramanian; Amir Yazdanbakhsh; Dan Alistarh; Gintare Karolina Dziugaite Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: pruning; sparsity; large language model; pretraining; including LLMs
2061	The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model Authors: Jiawei Chen; Wentao Chen; Jing Su; Jingjing Xu; Hongyu Lin; Mengjie Ren; Yaojie Lu; Xianpei Han; Le Sun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Language Model; Multilingual; Code; including LLMs
2062	The Unreasonable Ineffectiveness of the Deeper Layers Authors: Andrey Gromov; Kushal Tirumala; Hassan Shapourian; Paolo Glorioso; Dan Roberts Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: NLP; Pruning; Science of Deep Learning; Efficient Inference; including LLMs
2063	Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation Authors: Shengjie Ma; Chengjin Xu; Xuhui Jiang; Muzhi Li; Huaren Qu; Cehao Yang; Jiaxin Mao; Jian Guo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Retrieval Augmented Generation; Knowledge Driven Reasoning; including LLMs
2064	TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention Authors: Lijie Yang; Zhihao Zhang; Zhuofu Chen; Zikun Li; Zhihao Jia Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: efficient transformer serving; sparse attention decoding; including LLMs
2065	Tight Clusters Make Specialized Experts Authors: Stefan Nielsen; Rachel Teo; Laziz Abdullaev; 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; robustness; clustering; including LLMs
2066	TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning Authors: Xiangyu Zeng; Kunchang Li; Chenting Wang; Xinhao Li; Tianxiang Jiang; Ziang Yan; Songze Li; Yansong Shi; Zhengrong Yue; Yi Wang; Yali Wang; Yu Qiao; 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; Temporal Grounding; Multimodal Large Language Model; including LLMs
2067	To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning Authors: Zayne Rea Sprague; Fangcong Yin; Juan Diego Rodriguez; Dongwei Jiang; Manya Wadhwa; Prasann Singhal; Xinyu Zhao; Xi Ye; Kyle Mahowald; Greg Durrett 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 Models; Textual Reasoning; including LLMs
2068	To Code or Not To Code? Exploring Impact of Code in Pre-training Authors: Viraat Aryabumi; Yixuan Su; Raymond Ma; Adrien Morisot; Ivan Zhang; Acyr Locatelli; Marzieh Fadaee; Ahmet Üstün; Sara Hooker Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: code data; pre-training; code pre-training; including LLMs
2069	Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models Authors: Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kyungsu Kim; Eunho Yang; Kang Min Yoo 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 Problem-Solving; Verifiers; including LLMs
2070	ToolACE: Winning the Points of LLM Function Calling Authors: Weiwen Liu; Xu Huang; Xingshan Zeng; xinlong hao; Shuai Yu; Dexun Li; Shuai Wang; Weinan Gan; Zhengying Liu; Yuanqing Yu; Zezhong WANG; Yuxian Wang; Wu Ning; Yutai Hou; Bin Wang;… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Tool leaning; Function calling; Large language models; including LLMs
2071	Toward Understanding In-context vs. In-weight Learning Authors: Bryan Chan; Xinyi Chen; András György; Dale Schuurmans Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: In-context learning; generalization error; transformers; including LLMs
2072	Towards Effective Evaluations and Comparisons for LLM Unlearning Methods Authors: Qizhou Wang; Bo Han; Puning Yang; Jianing Zhu; Tongliang Liu; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: llm unlearning; including LLMs
2073	Towards Neural Scaling Laws for Time Series Foundation Models Authors: Qingren Yao; Chao-Han Huck Yang; Renhe Jiang; Yuxuan Liang; Ming Jin; Shirui Pan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Time series; scaling law; foundation model; transformer; forecasting; including LLMs
2074	Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization Authors: Junkang Wu; Yuexiang Xie; Zhengyi Yang; Jiancan Wu; Jiawei Chen; Jinyang Gao; Bolin Ding; Xiang Wang; Xiangnan He Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Direct Preference Optimization; LLM's alignment; Distributionally Robust Optimization; including LLMs
2075	Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective Authors: Zeyu Gan; Yong 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; synthetic data; information bottleneck; including LLMs
2076	TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies Authors: Ruijie Zheng; Yongyuan Liang; Shuaiyi Huang; Jianfeng Gao; Hal Daumé III; Andrey Kolobov; Furong Huang; Jianwei Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Vision Language Model; Robot Learning; including LLMs
2077	Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models Authors: Jun Zhang; Jue WANG; Huan Li; Lidan Shou; Ke Chen; Yang You; Guiming Xie; Xuejian Gong; Kunlong 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; Memory-Efficient LoRA; including LLMs
2078	Training Language Models on Synthetic Edit Sequences Improves Code Synthesis Authors: Ulyana Piterbarg; Lerrel Pinto; Rob Fergus Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: language model; code synthesis; reasoning; synthetic data; including LLMs
2079	Transformer Meets Twicing: Harnessing Unattended Residual Information Authors: Laziz Abdullaev; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformers; self-attention; oversmoothing; nonlocal smoothing; nonparametric regression; including LLMs
2080	Transformer-Squared: Self-adaptive LLMs Authors: Qi Sun; 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: Transformers; Self-Adaptation; Fine-tuning; Dynamic System; LLMs; including LLMs
2081	U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models Authors: Tung-Yu Wu; Melody Lo Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: large language models; emergent abilities; scaling laws; including LLMs
2082	Ultra-Sparse Memory Network Authors: Zihao Huang; Qiyang Min; Hongzhi Huang; Yutao Zeng; Defa Zhu; Ran Guo; zhou Xun Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large language model; sparse model; scaling law; including LLMs
2083	Uncovering Latent Memories in Large Language Models Authors: Sunny Duan; Mikail Khona; Abhiram Iyer; Rylan Schaeffer; Ila R Fiete 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; Empirical Study; Data Leakage; Privacy; LLMs; Dynamics; Interpretability; Mechanistic; including LLMs
2084	Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing Authors: Peihao Wang; Ruisi Cai; Yuehao Wang; Jiajun Zhu; Pragya Srivastava; Zhangyang Wang; Pan Li Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: State Space Models; Long-context LLMs; Over-smoothing; including LLMs
2085	Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention Authors: Tianyun Yang; Ziniu Li; Juan Cao; Chang 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; Hallucination; Interpretability; including LLMs
2086	Unhackable Temporal Reward for Scalable Video MLLMs Authors: En Yu; Kangheng Lin; Liang Zhao; Yana Wei; Zining Zhu; Haoran Wei; Jianjian Sun; Zheng Ge; Xiangyu Zhang; Jingyu Wang; Wenbing Tao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Video MLLMs; Temporal hacking; Temporal Perplexity; including LLMs
2087	Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization Authors: Noam Razin; Sadhika Malladi; Adithya Bhaskar; Danqi Chen; Sanjeev Arora; Boris Hanin Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Direct Preference Optimization; DPO; Likelihood Displacement; Unalignment; Alignment; Language Models; including LLMs
2088	Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning Authors: Tianci Liu; Ruirui Li; Yunzhe Qi; Hui Liu; Xianfeng Tang; Tianqi Zheng; Qingyu Yin; Monica Xiao Cheng; Jun Huan; Haoyu Wang; Jing Gao Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Knowledge Editing; Representation Fine-tuning; Large Language Models; including LLMs
2089	Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment Authors: Yuze Zhao; Tianyun Ji; Wenjun Feng; Zhenya Huang; Qi Liu; Zhiding Liu; Yixiao Ma; Kai Zhang; Enhong Chen Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Code Reasoning; Hypothesis Decomposition; Reflection; including LLMs
2090	Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs Authors: Aldo Pareja; Nikhil Shivakumar Nayak; Hao Wang; Krishnateja Killamsetty; Shivchander Sudalairaj; Wenlong Zhao; Seungwook Han; Abhishek Bhandwaldar; Guangxuan Xu; Kai Xu; Ligong Ha… Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Machine Learning; Generative Models; Large Language Models; Natural Language Processing; Transformers; Fine-Tuning; Instruction Tuning; Synthetic Data Generati…
2091	VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation Authors: Yecheng Wu; Zhuoyang Zhang; Junyu Chen; Haotian Tang; Dacheng Li; Yunhao Fang; Ligeng Zhu; Enze Xie; Hongxu Yin; Li Yi; Song Han; Yao Lu Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Unified Visual Language Model; Autoregressive Model; including LLMs
2092	VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models Authors: Lisa Dunlap; Krishna Mandal; Trevor Darrell; Jacob Steinhardt; Joseph E. Gonzalez 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; including LLMs
2093	Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs Authors: Sreyan Ghosh; Chandra Kiran Reddy Evuru; Sonal Kumar; Utkarsh Tyagi; Oriol Nieto; Zeyu Jin; Dinesh Manocha Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: lvlm; hallucinations; reasoning; including LLMs
2094	Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark Authors: Tsung-Han Wu; Giscard Biamby; Jerome Quenum; Ritwik Gupta; Joseph E. Gonzalez; Trevor Darrell; David Chan Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Large Multimodal Models; Visual Question Answering; including LLMs
2095	Wavelet-based Positional Representation for Long Context Authors: Yui Oka; 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: Positional Encoding; Extrapolation; Wavelet Transform; Transformers; RoPE; ALiBi; NLP; including LLMs
2096	Weak to Strong Generalization for Large Language Models with Multi-capabilities Authors: 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: Weak to Strong Generalization; Large Language Model; Superalignment; including LLMs
2097	Weak-to-Strong Generalization Through the Data-Centric Lens Authors: Changho Shin; John Cooper; Frederic Sala Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: weak to strong generalization; data-centric AI; including LLMs
2098	WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning Authors: Zehan Qi; Xiao Liu; Iat Long Iong; Hanyu Lai; Xueqiao Sun; Jiadai Sun; Xinyue Yang; Yu Yang; Shuntian Yao; Wei Xu; Jie Tang; Yuxiao Dong Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Web Agent; LLM Agent; Curriculum RL Learning; Online Learning; including LLMs
2099	Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation Authors: Sua Lee; Kyubum Shin; Jung Ho Park Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Prompt learning; Vision-language models; Large language models; Few-shot image recognition; including LLMs
2100	What Makes Large Language Models Reason in (Multi-Turn) Code Generation? Authors: Kunhao Zheng; Juliette Decugis; Jonas Gehring; Taco Cohen; benjamin negrevergne; Gabriel Synnaeve 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-turn Code Generation; Chain-of-Thought; including LLMs
2101	What is Wrong with Perplexity for Long-context Language Modeling? Authors: Lizhe Fang; Yifei Wang; Zhaoyang Liu; Chenheng Zhang; Stefanie Jegelka; Jinyang Gao; Bolin Ding; 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 models; Long context; including LLMs
2102	When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings Authors: Jérémy Perez; Grgur Kovač; Corentin Léger; Cédric Colas; Gaia Molinaro; Maxime Derex; Pierre-Yves Oudeyer; Clément Moulin-Frier 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-Turn Behaviour; Cultural Evolution; Attractors; Transmission Chain; including LLMs
2103	Why Does the Effective Context Length of LLMs Fall Short? Authors: Chenxin An; Jun Zhang; Ming Zhong; Lei Li; Shansan Gong; Yao Luo; Jingjing Xu; Lingpeng Kong 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 Modeling; Position Embedding; including LLMs
2104	X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing Authors: Xinyan Chen; Jianfei Yang Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: human sensing; multimodal learning; including LLMs
2105	You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning Authors: Ayan Sengupta; Siddhant Chaudhary; Tanmoy Chakraborty Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: Model Compression; Large Language Models; Structured Pruning; including LLMs
2106	ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention Authors: QIUHAO Zeng; Jerry Huang; Peng Lu; Gezheng Xu; Boxing Chen; Charles Ling; Boyu Wang 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; Long Context; long-range Transformer; Efficient Transformer; including LLMs
2107	ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs Authors: Yi-Kai Zhang; Shiyin Lu; Qing-Guo Chen; De-Chuan Zhan; Han-Jia Ye 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; Training Data Engine; Deep Learning; including LLMs
2108	kNN Attention Demystified: A Theoretical Exploration for Scalable Transformers Authors: Themistoklis Haris Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: efficient transformers; self-attention mechanism; sublinear algorithms; sampling; k-nearest neighbors; including LLMs
2109	mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models Authors: Jiabo Ye; Haiyang Xu; Haowei Liu; Anwen Hu; Ming Yan; Qi Qian; Ji Zhang; Fei Huang; Jingren Zhou 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; long sequence; efficient multimodal understanding; including LLMs
2110	nGPT: Normalized Transformer with Representation Learning on the Hypersphere Authors: Ilya Loshchilov; Cheng-Ping Hsieh; Simeng Sun; Boris Ginsburg Affiliation: 官方页面未列出 Official area / track: foundation or frontier models, including LLMs Recognition: Poster/Regular Keywords: transformer; normalization; representation; including LLMs
2111	$InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration Authors: Senmao Li; Kai Wang; Joost van de Weijer; Fahad Shahbaz Khan; Chun-Le Guo; Shiqi Yang; Yaxing Wang; jian Yang; Ming-Ming Cheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion model; face restoration
2112	3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing Authors: Jiahua Dong; Yu-Xiong Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Editing; Diffusion Model; 3D Vision
2113	3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation Authors: Xiao FU; Xian Liu; Xintao Wang; Sida Peng; Menghan Xia; Xiaoyu Shi; Ziyang Yuan; Pengfei Wan; Di ZHANG; Dahua Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Controllable Video Generation; 3D Motion Control; Multi-Entity Motion
2114	A Simple Approach to Unifying Diffusion-based Conditional Generation Authors: Xirui Li; Charles Herrmann; Kelvin C.K. Chan; Yinxiao Li; Deqing Sun; Chao Ma; Ming-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: image generation; controllability; estimation
2115	A Watermark for Order-Agnostic Language Models Authors: Ruibo Chen; Yihan Wu; Yanshuo Chen; Chenxi Liu; Junfeng Guo; Heng Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: language model watermarking; generative model
2116	A3D: Does Diffusion Dream about 3D Alignment? Authors: Savva Victorovich Ignatyev; Nina Konovalova; Daniil Selikhanovych; Oleg Voynov; Nikolay Patakin; Ilya Olkov; Dmitry Senushkin; Alexey Artemov; Anton Konushin; Alexander Filippov;… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Aligned 3D generation; 3D generation and editing; Text-to-image diffusion; Score distillation sampling; Implicit neural surfaces; Radiance fields
2117	ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer Authors: Zhen Han; Zeyinzi Jiang; Yulin Pan; Jingfeng Zhang; Chaojie Mao; Chen-Wei Xie; Yu Liu; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Generation and Editing; Diffusion Transformer; Instruction Following; Unified Framework
2118	APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Authors: Xinyu Yang; Tianqi Chen; Beidi Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Parallel Encoding; Context-Augmented LLM; Efficient Inference; Length Extrapolation
2119	Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding Authors: Yao Teng; Han Shi; Xian Liu; Xuefei Ning; Guohao Dai; Yu Wang; Zhenguo Li; Xihui Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: auto-regressive image generation; acceleration; training-free; image generation
2120	Accelerating Diffusion Transformers with Token-wise Feature Caching Authors: Chang Zou; Xuyang Liu; Ting Liu; Siteng Huang; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Image generation; Video generation; Model Acceleration; Feature Cache
2121	Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection Authors: Yun Zhu; Jia-Chen Gu; Caitlin Sikora; Ho Ko; Yinxiao Liu; Chu-Cheng Lin; Lei Shu; Liangchen Luo; Lei Meng; Bang Liu; Jindong Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Sparse Context; Efficiency
2122	Adding Conditional Control to Diffusion Models with Reinforcement Learning Authors: Yulai Zhao; Masatoshi Uehara; Gabriele Scalia; Sunyuan Kung; Tommaso Biancalani; Sergey Levine; Ehsan Hajiramezanali Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; conditional generation; fine-tuning; reinforcement learning
2123	Advancing Graph Generation through Beta Diffusion Authors: Xinyang Liu; Yilin He; Bo Chen; Mingyuan Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Graph Machine Learning; Generative Models; Denoising Diffusion Probabilistic Models
2124	Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step Authors: Mingyuan Zhou; Huangjie Zheng; Yi Gu; Zhendong Wang; Hai Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion distillation; deep generative models
2125	Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Authors: Asad Aali; Giannis Daras; Brett Levac; Sidharth Kumar; Alex Dimakis; Jon Tamir Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; inverse problems; ambient diffusion; mri
2126	Animate-X: Universal Character Image Animation with Enhanced Motion Representation Authors: Shuai Tan; Biao Gong; Xiang Wang; Shiwei Zhang; DanDan Zheng; Ruobing Zheng; Kecheng Zheng; Jingdong Chen; Ming Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Animation; Anthropomorphic; Video Generation; Pose
2127	AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly Authors: Hongyu Guo; Yoshua Bengio; Shengchao Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: rigid flow matching; inertial frame; quaternion representation; material; molecular assembly; molecular crystallization
2128	Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models Authors: Yongjin Yang; Sihyeon Kim; Hojung Jung; Sangmin Bae; SangMook Kim; Se-Young Yun; Kimin Lee Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion; Human Feedback; Data Filtering
2129	Autoregressive Video Generation without Vector Quantization Authors: Haoge Deng; Ting Pan; Haiwen Diao; Zhengxiong Luo; Yufeng Cui; Huchuan Lu; Shiguang Shan; Yonggang Qi; Xinlong Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Autoregressive Generation; Text-to-Video Generation; Continuous-valued Space
2130	AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation Authors: Yukang Cao; Liang Pan; Kai Han; Kwan-Yee K. Wong; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 4D human avatar generation; compositional generation; human-object interaction
2131	Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent Authors: Yangning Li; Yinghui Li; Xinyu Wang; Yong Jiang; Zhen Zhang; Xinran Zheng; Hui Wang; Hai-Tao Zheng; Fei Huang; Jingren Zhou; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Language Model; Multimodal Retrieval Augmented Generation; Knowledge Enhancement
2132	Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Authors: Justin Deschenaux; Caglar Gulcehre Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: language modeling; LLM; diffusion models; discrete diffusion models; diffusion language models; distillation
2133	Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge Authors: Aparna Elangovan; Lei Xu; Jongwoo Ko; Mahsa Elyasi; Ling Liu; Sravan Babu Bodapati; Dan Roth Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Automated evaluation; LLM as a judge; correlation measures
2134	BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities Authors: Shaozhe Hao; Xuantong LIU; Xianbiao Qi; Shihao Zhao; Bojia Zi; Rong Xiao; Kai Han; Kwan-Yee K. Wong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image generation; Generative model; Representation learning
2135	Bias Mitigation in Graph Diffusion Models Authors: Meng Yu; Kun Zhan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Graph learning; Bias analysis
2136	BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models Authors: Xingyu Zheng; Xianglong Liu; Haotong Qin; Xudong Ma; Mingyuan Zhang; Haojie Hao; Jiakai Wang; Zixiang Zhao; Jinyang Guo; Michele Magno Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Model Quantization; Model Compression; Generative Model; Diffusion Model
2137	Boosting Latent Diffusion with Perceptual Objectives Authors: Tariq Berrada; Pietro Astolfi; Melissa Hall; Marton Havasi; Yohann Benchetrit; Adriana Romero-Soriano; Karteek Alahari; Michal Drozdzal; Jakob Verbeek Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion; flows; latent diffusion; LDM; latent generative models; T2I; image generation; generative models.
2138	Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate Authors: Yexiang Liu; Jie Cao; Zekun Li; Ran He; Tieniu Tan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multi-Agent Debate; Large Language Models; Multimodal Large Language Models; Prompting; Self-Correction; Reasoning
2139	Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation Authors: Abdelrahman Eldesokey; Peter Wonka Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Text-to-Image; Layout Control
2140	CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences Authors: Ziran Qin; Yuchen Cao; Mingbao Lin; Wen Hu; Shixuan Fan; Ke Cheng; Weiyao Lin; Jianguo Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Language Model; Efficient Generative Inference; Key-Value Cache
2141	CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models Authors: Hyungjin Chung; Jeongsol Kim; Geon Yeong Park; Hyelin Nam; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Manifold; Classifier-free guidance
2142	CLIPDrag: Combining Text-based and Drag-based Instructions for Image Editing Authors: Ziqi Jiang; Zhen Wang; Long Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Computer Vision; Generative Model; Diffusion Model; Image Editing.
2143	CONTRA: Conformal Prediction Region via Normalizing Flow Transformation Authors: Zhenhan Fang; Aixin Tan; Jian Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Uncertainty Quantification; Conditional Density Estimation; Conformalized Quantile Regression; Coverage Probability; Multi-dimensional Prediction
2144	CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion Authors: Joshua Kazdan; Hao Sun; Jiaqi Han; Felix Petersen; Frederick Vu; Stefano Ermon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion; privacy; data protection; mode collapse
2145	CTSyn: A Foundation Model for Cross Tabular Data Generation Authors: Xiaofeng Lin; Chenheng Xu; Matthew Yang; Guang Cheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Foundation Model; Tabular Data; Synthetic Data Generation
2146	CameraCtrl: Enabling Camera Control for Video Diffusion Models Authors: Hao He; Yinghao Xu; Yuwei Guo; Gordon Wetzstein; Bo Dai; Hongsheng Li; Ceyuan Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: camera viewpoints control in Video Generation
2147	CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models Authors: Zheng Chong; Xiao Dong; Haoxiang Li; shiyue Zhang; Wenqing Zhang; Hanqing Zhao; xujie zhang; Dongmei Jiang; Xiaodan Liang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; virtual try-on; parameter-efficient training
2148	Chunk-Distilled Language Modeling Authors: Yanhong Li; Karen Livescu; Jiawei Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: language modeling; text generation; retrieval-augmented generation; domain adaptation; inference algorithms; efficient generation
2149	ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance Authors: Jiannan Huang; Jun Hao Liew; Hanshu Yan; Yuyang Yin; Yao Zhao; Humphrey Shi; Yunchao Wei Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion; Subject-Driven Personalization
2150	CoInD: Enabling Logical Compositions in Diffusion Models Authors: Sachit Gaudi; Gautam Sreekumar; Vishnu Boddeti Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: logical compositionality; generative models; diffusion models; causality
2151	CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference Authors: Amirkeivan Mohtashami; Matteo Pagliardini; Martin Jaggi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: language models; adaptive compute; chain of thought
2152	CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer Authors: Zhuoyi Yang; Jiayan Teng; Wendi Zheng; Ming Ding; Shiyu Huang; Jiazheng Xu; Yuanming Yang; Wenyi Hong; Xiaohan Zhang; Guanyu Feng; Da Yin; Yuxuan.Zhang; Weihan Wang; Yean Cheng; B… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Diffusion model; Pretraining
2153	Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate Authors: Byung Hyun Lee; Sungjin Lim; Seunggyu Lee; Dong Un Kang; Se Young Chun Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Concept erasing; Generative model; Diffusion model
2154	Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering Authors: Klaus-Rudolf Kladny; Bernhard Schölkopf; Michael Muehlebach Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Conformal Prediction; Generative Models; Risk Control; Active Learning; Language Models
2155	Consistency Models Made Easy Authors: Zhengyang Geng; Ashwini Pokle; Weijian Luo; Justin Lin; J Zico Kolter Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Consistency Models; Efficient Generative Models; Diffusion Models
2156	Consistent Flow Distillation for Text-to-3D Generation Authors: Runjie Yan; Yinbo Chen; Xiaolong Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Score Distillation; 3D Generation
2157	Continuous Diffusion for Mixed-Type Tabular Data Authors: Markus Mueller; Kathrin Gruber; Dennis Fok Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: synthetic data generation; diffusion model; generative model; tabular data; mixed-type data
2158	ControlAR: Controllable Image Generation with Autoregressive Models Authors: Zongming Li; Tianheng Cheng; Shoufa Chen; Peize Sun; Haocheng Shen; Longjin Ran; Xiaoxin Chen; Wenyu Liu; Xinggang Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: controllable image generation; autoregressive models; autoregressive image generation; diffusion models; image generation
2159	Controlling Space and Time with Diffusion Models Authors: Daniel Watson; Saurabh Saxena; Lala Li; Andrea Tagliasacchi; David J. Fleet Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative; diffusion; novel; view; synthesis; 3d; 4d; scenes
2160	Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Authors: Zikun Zhang; Zixiang Chen; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete diffusion model; Convergence analysis; Time-discretization; Discrete score function
2161	CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair Authors: Mingjie Liu; Yun-Da Tsai; Wenfei Zhou; Haoxing Ren Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Verilog Code Generation; Synthetic Data Generation; Large Language Models
2162	Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models Authors: Jungwon Park; Jungmin Ko; Dongnam Byun; Jangwon Suh; Wonjong Rhee Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: text-to-image diffusion model; diffusion model; text-to-image generative model; cross-attention
2163	CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation Authors: Yifeng Xu; Zhenliang He; Shiguang Shan; Xilin Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Controllable Image Generation; Image-to-Image Generation; ControlNet; LoRA; Resource-Efficient Adaptation
2164	Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling Authors: Guiyu Zhang; Huan-ang Gao; Zijian Jiang; Hao Zhao; Zhedong Zheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Conditional generation; semantic alignment; uncertainty learning
2165	DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking head Video Generation Authors: Hanbo Cheng; Limin Lin; Chenyu Liu; Pengcheng Xia; Pengfei Hu; Jiefeng Ma; Jun Du; Jia Pan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Talking head generation; Non-autoregressive generation; Avatar; Video generation; Diffusion model
2166	DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models Authors: Hyogon Ryu; NaHyeon Park; Hyunjung Shim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Model Quantization; Model Compression; Efficient Models
2167	Data Unlearning in Diffusion Models Authors: Silas Alberti; Kenan Hasanaliyev; Manav Shah; Stefano Ermon Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; selective forgetting; unlearning; data deletion; generative models; memorization
2168	Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models Authors: Junyu Chen; Han Cai; Junsong Chen; Enze Xie; Shang Yang; Haotian Tang; Muyang Li; Song Han Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: efficient high-resolution diffusion models
2169	Deep MMD Gradient Flow without adversarial training Authors: Alexandre Galashov; Valentin De Bortoli; Arthur Gretton Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative modeling; diffusion models; Wasserstein gradient flows; generative adversarial networks; discriminator flow
2170	Denoising Autoregressive Transformers for Scalable Text-to-Image Generation Authors: Jiatao Gu; Yuyang Wang; Yizhe Zhang; Qihang Zhang; Dinghuai Zhang; Navdeep Jaitly; Joshua M. Susskind; Shuangfei Zhai Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; autoregressive models; Transformer
2171	Denoising Task Difficulty-based Curriculum for Training Diffusion Models Authors: Jin-Young Kim; Hyojun Go; Soonwoo Kwon; Hyun-Gyoon Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Task difficulty; Curriculum learning
2172	Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration Authors: Kang Liao; Zongsheng Yue; Zhouxia Wang; Chen Change Loy Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Restoration; Domain Adaptation; Diffusion Loss
2173	Denoising with a Joint-Embedding Predictive Architecture Authors: Dengsheng Chen; Jie Hu; Xiaoming Wei; Enhua Wu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: AIGC; JEPA; Diffusion Model; Flow Matching; Image Synthetic
2174	Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering Authors: Yibo Zhang; Lihong Wang; Changqing Zou; Tieru Wu; Rui Ma Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Sketch; Sketch Generation; Diffusion Models
2175	DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement Authors: Yichong Xia; Yimin Zhou; Jinpeng Wang; Baoyi An; Haoqian Wang; Yaowei Wang; Bin Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: lossy image compression; diffusion model
2176	DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Authors: Chenguo Lin; Panwang Pan; Bangbang Yang; Zeming Li; Yadong MU Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Generation; Diffusion models; 3D Gaussian Splatting
2177	Diffusion Bridge Implicit Models Authors: Kaiwen Zheng; Guande He; Jianfei Chen; Fan Bao; Jun Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Bridge Models; Image Translation; Fast Sampling
2178	Diffusion Models are Evolutionary Algorithms Authors: Yanbo Zhang; Benedikt Hartl; Hananel Hazan; Michael Levin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Machine learning; evolutionary computation; Evolutionary Algorithms; Diffusion Models; Optimization
2179	Diffusion Models as Cartoonists: The Curious Case of High Density Regions Authors: Rafal Karczewski; Markus Heinonen; Vikas Garg Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; likelihood estimation
2180	Diffusion State-Guided Projected Gradient for Inverse Problems Authors: Rayhan Zirvi; Bahareh Tolooshams; Anima Anandkumar Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Inverse problems; Robustness; Subspace; Projection; Box inpainting; Phase retrieval
2181	Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data Authors: Hengyu Fu; Zehao Dou; Jiawei Guo; Mengdi Wang; Minshuo Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; transformers; sequential data; spatial-temporal dependency; sample complexity
2182	Diffusion Transformers for Tabular Data Time Series Generation Authors: Fabrizio Garuti; Enver Sangineto; Simone Luetto; Lorenzo Forni; Rita Cucchiara Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: tabular data generation; time series; diffusion models
2183	Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models Authors: Zeyu Yang; Zijie Pan; Chun Gu; Li Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 4D generation; diffusion model; generative model; video diffusion
2184	Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting Authors: Qi Li; Zhenyu Zhang; Lei Yao; Zhaoxia Li; Tianyi Zhong; Yong Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: long-term time series forecasting; deep learning; diffusion model
2185	Diffusion-based Neural Network Weights Generation Authors: Bedionita Soro; Bruno Andreis; Hayeon Lee; Wonyong Jeong; Song Chong; Frank Hutter; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative hyper-representation learning; diffusion model; neural network weights generation; parameters generation; hypernetworks
2186	DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation Authors: Jing He; Haodong Li; huyongzhe; Guibao Shen; Yingjie CAI; Weichao Qiu; Ying-Cong Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Visual Disentanglement and Enrichment; Zero-shot Customization; Text-to-Image Generation
2187	DisPose: Disentangling Pose Guidance for Controllable Human Image Animation Authors: Hongxiang Li; Yaowei Li; Yuhang Yang; Junjie Cao; Zhihong Zhu; Xuxin Cheng; Long Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Controllable Video Generation; Human Animation
2188	Discrete Copula Diffusion Authors: Anji Liu; Oliver Broadrick; Mathias Niepert; Guy Van den Broeck Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: discrete diffusion models; copula
2189	Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation Authors: Jun Hyeong Kim; Seonghwan Kim; Seokhyun Moon; Hyeongwoo Kim; Jeheon Woo; Woo Youn Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Schrödinger Bridge; Discrete Diffusion Model; Molecular Optimization
2190	Discrete Distribution Networks Authors: Lei Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Image Generation
2191	Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching Authors: Enshu Liu; Xuefei Ning; Yu Wang; Zinan Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: image autoregressive models; parallel decoding; distillation
2192	Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference Authors: Nadav Timor; Jonathan Mamou; Daniel Korat; Moshe Berchansky; Oren Pereg; Moshe Wasserblat; Tomer Galanti; Michal Gordon-Kiwkowitz; David Harel Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: inference algorithms for generative models; LLM inference; speculative decoding
2193	Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation Authors: Shengyuan Zhang; Ling Yang; Zejian Li; An Zhao; Chenye Meng; Changyuan Yang; Guang Yang; Zhiyuan Yang; Lingyun Sun Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Diffusion Distillation; One-step Generation
2194	Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators Authors: Ariel Elnekave; Yair Weiss Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative; GAN; Wasserstein Distance
2195	Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding Authors: Yeongjae Cho; Keonwoo Kim; Taebaek Hwang; Sungzoon Cho Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Hallucination; Multimodal Hallucination; Large Vision-Language Model
2196	DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation Authors: Jiwook Kim; Seonho Lee; Jaeyo Shin; Jiho Choi; Hyunjung Shim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; 3D editing; score distillation sampling; NeRF; 3D Gaussian Splatting
2197	DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation Authors: Brian Nlong Zhao; Yuhang Xiao; Jiashu Xu; XINYANG JIANG; Yifan Yang; Dongsheng Li; Laurent Itti; Vibhav Vineet; Yunhao Ge Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Image Generation; Personalized Generation
2198	Dynamic Diffusion Transformer Authors: Wangbo Zhao; Yizeng Han; Jiasheng Tang; Kai Wang; Yibing Song; Gao Huang; Fan Wang; Yang You Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Transformer; Dynamic Neural Network; Efficiency
2199	Dynamic Negative Guidance of Diffusion Models Authors: Felix Koulischer; Johannes Deleu; Gabriel Raya; Thomas Demeester; Luca Ambrogioni Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Classifier-free guidance; Negative prompting; Diffusion model guidance
2200	Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models Authors: Xingzhuo Guo; Yu Zhang; Baixu Chen; Haoran Xu; Jianmin Wang; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Generative Model; Prediction Learning; Dynamics
2201	EG4D: Explicit Generation of 4D Object without Score Distillation Authors: Qi Sun; Zhiyang Guo; Ziyu Wan; Jing Nathan Yan; Shengming Yin; Wengang Zhou; Jing Liao; Houqiang Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 4D Generation
2202	EcoFace: Audio-Visual Emotional Co-Disentanglement Speech-Driven 3D Talking Face Generation Authors: Jiajian Xie; Shengyu Zhang; Mengze Li; chengfei lv; Zhou Zhao; Fei Wu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Talking face generation; Audio-visual emotional co-disentanglement; Speaker-specific
2203	EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation Authors: Jiaxiang Tang; Zhaoshuo Li; Zekun Hao; Xian Liu; Gang Zeng; Ming-Yu Liu; Qinsheng Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Generation; Auto-regressive Mesh Generation
2204	Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Authors: Zhen Liu; Tim Z. Xiao; Weiyang Liu; Yoshua Bengio; Dinghuai Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Reward Finetuning; Diffusion Models; Alignment; GFlowNet; Generative Models
2205	Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models Authors: Etrit Haxholli; Yeti Z. Gurbuz; Oğul Can; Eli Waxman Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete Diffusion; CTMCs; Ratio Matching; Score Entropy; Cross Entropy; Language Models; Discrete Flow Matching
2206	EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning Authors: Wei Yu; Songheng Yin; Steve Easterbrook; Animesh Garg Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Controllable video generation; Egocentric video prediction; World model
2207	Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models Authors: Seyedmorteza Sadat; Otmar Hilliges; Romann M. Weber Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: classifier-free guidance; diffusion models
2208	Elucidating the Preconditioning in Consistency Distillation Authors: Kaiwen Zheng; Guande He; Jianfei Chen; Fan Bao; Jun Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Distillation; Consistency Trajectory Models
2209	Energy-Based Diffusion Language Models for Text Generation Authors: Minkai Xu; Tomas Geffner; Karsten Kreis; Weili Nie; Yilun Xu; Jure Leskovec; Stefano Ermon; Arash Vahdat Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Language Models; Discrete Diffusion Models; Energy-based Models
2210	Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions Authors: Jinyoung Choi; Junoh Kang; Bohyung Han Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models
2211	Ensembling Diffusion Models via Adaptive Feature Aggregation Authors: Cong Wang; Kuan Tian; Yonghang Guan; Fei Shen; Zhiwei Jiang; Qing Gu; Jun Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Generation; Diffusion Models; Model Ensembling
2212	Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models Authors: Jingcheng Deng; Zihao Wei; Liang Pang; Hanxing Ding; Huawei Shen; Xueqi Cheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Knowledge Editing; Large Language Models
2213	FIG: Flow with Interpolant Guidance for Linear Inverse Problems Authors: Yici Yan; Yichi Zhang; Xiangming Meng; Zhizhen Zhao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Flow Matching; Diffusion Model; Linear Inverse Problems
2214	FaceShot: Bring Any Character into Life Authors: Junyao Gao; Yanan SUN; Fei Shen; Xin Jiang; Zhening Xing; Kai Chen; Cairong Zhao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: portrait animation; diffusion model
2215	Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them Authors: Anh Tuan Bui; Thuy-Trang Vu; Long Tung Vuong; Trung Le; Paul Montague; Tamas Abraham; Junae Kim; Dinh Phung Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Trustworthy Generative AI; Diffusion Models; Machine Unlearning; Erasing Concepts
2216	Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation Authors: Kim Yong Tan; Yueming Lyu; Ivor Tsang; Yew-Soon Ong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Black-box target generation; Online guided diffusion model; Query-efficient
2217	Fast training and sampling of Restricted Boltzmann Machines Authors: Nicolas BEREUX; Aurélien Decelle; Cyril Furtlehner; Lorenzo Rosset; Beatriz Seoane Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Restricted Boltzmann Machine; Fast Sampling; structured data learning; training algorithm
2218	Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel Authors: Shivam Gupta; Linda Cai; Sitan Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Sampling; Generative Model; Statistical Theory
2219	Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling Authors: Aram Davtyan; Leello Tadesse Dadi; Volkan Cevher; Paolo Favaro Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; flow matching
2220	Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation Authors: Kangfu Mei; Mo Zhou; Vishal M. Patel Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; Diffusion Model; Diffusion Probabilistic Fields; World Model
2221	Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design Authors: Chenyu Wang; Masatoshi Uehara; Yichun He; Amy Wang; Avantika Lal; Tommi Jaakkola; Sergey Levine; Aviv Regev; Hanchen; Tommaso Biancalani Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete Diffusion Models; Reward Optimization; Fine-Tuning; AI for science; Reinforcement learning
2222	Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond Authors: Costin-Andrei Oncescu; Sanket Purandare; Stratos Idreos; Sham M. Kakade Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: computational efficiency; inference; sequence generative models; long convolution sequence models; hyena
2223	FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models Authors: Zhanwei Zhang; Shizhao Sun; Wenxiao Wang; Deng Cai; Jiang Bian Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: CAD generation; large language model
2224	Flow matching achieves almost minimax optimal convergence Authors: Kenji Fukumizu; Taiji Suzuki; Noboru Isobe; Kazusato Oko; Masanori Koyama Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow matching; generative model; convergence rate; optimality
2225	Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens Authors: Lijie Fan; Tianhong Li; Siyang Qin; Yuanzhen Li; Chen Sun; Michael Rubinstein; Deqing Sun; Kaiming He; Yonglong Tian Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative model; scaling; text-to-image; autoregressive
2226	Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models Authors: Cong Fu; Xiner Li; Blake Olson; Heng Ji; Shuiwang Ji Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative models; language models; molecule tokenization; structure-based drug design; fragment
2227	Framer: Interactive Frame Interpolation Authors: Wen Wang; Qiuyu Wang; Kecheng Zheng; Hao OUYANG; Zhekai Chen; Biao Gong; Hao Chen; Yujun Shen; Chunhua Shen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Frame Interpolation; Interactive; Diffusion Model; Correspondence Modeling
2228	FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling Authors: Zhengqiang ZHANG; Ruihuang Li; Lei Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; diffusion models; training-free
2229	Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Authors: Severi Rissanen; Markus Heinonen; Arno Solin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion model; conditional generation; inverse problems; denoiser covariance estimation
2230	FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Authors: Yunlong Yuan; Yuanfan Guo; Chunwei Wang; Wei Zhang; Hang Xu; Li Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video diffusion models; Fourier transform; noise prior; frequency filtering
2231	Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation Authors: Lokesh Veeramacheneni; Moritz Wolter; Hilde Kuehne; Juergen Gall Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Frechet Distance; Wavelet Packet Transform; Frechet Inception Distance; Diffusion; GAN; ImageNet; Frechet Inception Distance; FD-DINOv2
2232	GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation Authors: Dingdong Yang; Yizhi Wang; Konrad Schindler; Ali Mahdavi Amiri; Hao Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; 3D; Computer Graphics
2233	GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion Authors: Xiaojian Lin; Hanhui Li; Yuhao Cheng; Yiqiang Yan; Xiaodan Liang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Interactive editing; dragging-based image manipulation; diffusion models
2234	GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement Authors: Peiye Zhuang; Songfang Han; Chaoyang Wang; Aliaksandr Siarohin; Jiaxu Zou; Michael Vasilkovsky; Vladislav Shakhrai; Sergei Korolev; Sergey Tulyakov; Hsin-Ying Lee Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Reconstruction; Feed-forward
2235	GameGen-X: Interactive Open-world Game Video Generation Authors: Haoxuan Che; Xuanhua He; Quande Liu; Cheng Jin; Hao Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Open-world Game Video Generation; Interactive Control; Diffusion Transformers
2236	GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation Authors: Yushi LAN; Shangchen Zhou; Zhaoyang Lyu; Fangzhou Hong; Shuai Yang; Bo Dai; Xingang Pan; Chen Change Loy Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Object Generation; Gaussian Splatting; Flow-based Generative Models
2237	GenEx: Generating an Explorable World Authors: TaiMing Lu; Tianmin Shu; Alan Yuille; Daniel Khashabi; Jieneng Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Video Generation; Embodied AI
2238	GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs Authors: Kalliopi Basioti; Pritish Sahu; Tony Qingze Liu; Zihao Xu; Hao Wang; Vladimir Pavlovic Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: abstract visual reasoning; contrastive learning; variational autoencoders; out of distribution generalization
2239	GenXD: Generating Any 3D and 4D Scenes Authors: Yuyang Zhao; Chung-Ching Lin; Kevin Lin; Zhiwen Yan; Linjie Li; Zhengyuan Yang; Jianfeng Wang; Gim Hee Lee; Lijuan Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Generation; 4D Generation; Diffusion Models
2240	Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis Authors: Qi CHEN; Jierui Zhu; Florian Shkurti Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generalization bounds; information theory; generative models; VAE; diffusion models
2241	Generalization through variance: how noise shapes inductive biases in diffusion models Authors: John Vastola Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; generalization; inductive biases; theory; infinite-width neural networks; generative models; path integral
2242	Generalized Consistency Trajectory Models for Image Manipulation Authors: Beomsu Kim; Jaemin Kim; Jeongsol Kim; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Consistency Models; Image Manipulation
2243	Generating Graphs via Spectral Diffusion Authors: Giorgia Minello; Alessandro Bicciato; Luca Rossi; Andrea Torsello; Luca Cosmo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: graph neural networks; laplacian; eigendecomposition; spectrum; diffusion model; generative model
2244	Glad: A Streaming Scene Generator for Autonomous Driving Authors: Bin Xie; Yingfei Liu; Tiancai Wang; Jiale Cao; Xiangyu Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Autonomous Driving
2245	Glauber Generative Model: Discrete Diffusion Models via Binary Classification Authors: Harshit Varma; Dheeraj Mysore Nagaraj; Karthikeyan Shanmugam Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete Diffusion Models; Diffusion Models; Non-Autoregressive Models; Generative Models; Markov Chains; MCMC
2246	Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates Authors: Connor Mooney; Zhongjian Wang; Jack Xin; Yifeng Yu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Score based generative models; Lipschitz estimates; convergence analysis; well-posedness; singularity
2247	GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models Authors: Zewei Zhang; Huan Liu; Jun Chen; Xiangyu Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: drag editing; generative AI; diffusion model
2248	Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation Authors: Mingyuan Zhou; Zhendong Wang; Huangjie Zheng; Hai Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: stable diffusion; data-free distillation; single-step generation; classifier-free guidance
2249	HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis Authors: Yuto Nishimura; Takumi Hirose; Masanari Ohi; Hideki Nakayama; Nakamasa Inoue Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-speech synthesis; LLM-based TTS; neural audio codec; long-form generation
2250	HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models Authors: Hayk Manukyan; Andranik Sargsyan; Barsegh Atanyan; Zhangyang Wang; Shant Navasardyan; Humphrey Shi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: text-guided image inpainting; diffusion models; high-resolution image inpainting
2251	HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning Authors: Ayano Hiranaka; Shang-Fu Chen; Chieh-Hsin Lai; Dongjun Kim; Naoki Murata; Takashi Shibuya; Wei-Hsiang Liao; Shao-Hua Sun; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Online RLHF; Diffusion Model Finetuning
2252	HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining Authors: Minjae Jeong; Yechan Hwang; Jaejin Lee; Sungyoon Jung; Won Hwa Kim Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: text-to-motion generation; generative masked model; hard token mining; hierarchical semantic graph
2253	HaDeMiF: Hallucination Detection and Mitigation in Large Language Models Authors: Xiaoling Zhou; Mingjie Zhang; Zhemg Lee; Wei Ye; Shikun Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large language model; knowledge hallucination; hallucination detection; model calibration; deep neural decision tree
2254	Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation Authors: Jiahao Cui; Hui Li; Yao Yao; Hao Zhu; Hanlin Shang; Kaihui Cheng; Hang Zhou; Siyu Zhu; Jingdong Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: image animation; patch-drop augmentation; high-resolution; long-duration
2255	Halton Scheduler for Masked Generative Image Transformer Authors: Victor Besnier; Mickael Chen; David Hurych; Eduardo Valle; Matthieu Cord Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Synthesis; MaskGIT; Halton Sequence
2256	Heavy-Tailed Diffusion Models Authors: Kushagra Pandey; Jaideep Pathak; Yilun Xu; Stephan Mandt; Michael Pritchard; Arash Vahdat; Morteza Mardani Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative models; Diffusion models; Heavy-Tailed Distributions
2257	Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models Authors: Dario Shariatian; Umut Simsekli; Alain Oliviero Durmus Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion; generative model; deep learning; machine learning; heavy-tail
2258	Hidden in the Noise: Two-Stage Robust Watermarking for Images Authors: Kasra Arabi; Benjamin Feuer; R. Teal Witter; Chinmay Hegde; Niv Cohen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Watermarking
2259	High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders Authors: Siddharth Ramchandran; Manuel Haussmann; Harri Lähdesmäki Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Variational autoencoders; Gaussian processes; Bayesian optimisation
2260	High-Quality Joint Image and Video Tokenization with Causal VAE Authors: Dawit Mureja Argaw; Xian Liu; Qinsheng Zhang; Joon Son Chung; Ming-Yu Liu; Fitsum Reda Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Autoencoding; Generative Modelling; Causal Video VAE; FILM; Video Tokenization
2261	High-quality Text-to-3D Character Generation with SparseCubes and Sparse Transformers. Authors: Jiachen Qian; Hongye Yang; Shuang Wu; Jingxi Xu; Feihu Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: anime avatar; diffusion; transformer; large reconstruction model
2262	How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Authors: Yinuo Ren; Haoxuan Chen; Grant M. Rotskoff; Lexing Ying Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete diffusion models; Poisson process; stochastic integral; continuous-time Markov chain
2263	How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. Authors: Giannis Daras; Yeshwanth Cherapanamjeri; Constantinos Costis Daskalakis Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: ambient diffusion; noisy data; dataset design; gaussian mixtures
2264	Human-Aligned Chess With a Bit of Search Authors: Yiming Zhang; Athul Paul Jacob; Vivian Lai; Daniel Fried; Daphne Ippolito Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: chess; alignment; adaptive MCTS; inference-time scaling
2265	Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment Authors: Minh-Quan Le; Gaurav Mittal; Tianjian Meng; A S M Iftekhar; Vishwas Suryanarayanan; Barun Patra; Dimitris Samaras; Mei Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: multimodal; diffusion model; image generation; lora; mllm; stable diffusion; mme; hoi; tta
2266	Hybrid Regularization Improves Diffusion-based Inverse Problem Solving Authors: Hongkun Dou; Zeyu Li; Jinyang Du; Lijun Yang; Wen Yao; Yue Deng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; inverse problems
2267	I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength Authors: Wanquan Feng; Jiawei Liu; Pengqi Tu; Tianhao Qi; Mingzhen Sun; Tianxiang Ma; Songtao Zhao; SiYu Zhou; Qian HE Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Camera Control
2268	IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations Authors: Zhibing Li; Tong Wu; Jing Tan; Mengchen Zhang; Jiaqi Wang; Dahua Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: inverse rendering; diffusion models; intrinsic decomposition
2269	IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis Authors: Shitong Shao; zikai zhou; Bai LiChen; Haoyi Xiong; Zeke Xie Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: IV-mixed Sampler; Video Synthesis; Inference-heavy Algorithms; Training-free
2270	Improved Diffusion-based Generative Model with Better Adversarial Robustness Authors: Zekun Wang; Mingyang Yi; Shuchen Xue; Zhenguo Li; Ming Liu; Bing Qin; Zhi-Ming Ma Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; Adversarial Robustness; Diffusion Model; Distributional Robustness Optimization
2271	Improved Sampling Algorithms for Lévy-Itô Diffusion Models Authors: Vadim Popov; Assel Yermekova; Tasnima Sadekova; Artem Khrapov; Mikhail Sergeevich Kudinov Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative modeling; diffusion models; Lévy-Itô models; α-stable Lévy processes; stochastic differential equations
2272	Improved Training Technique for Latent Consistency Models Authors: Quan Dao; Khanh Doan; Di Liu; Trung Le; Dimitris N. Metaxas Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Consistency Model; Diffusion Model
2273	Improving Long-Text Alignment for Text-to-Image Diffusion Models Authors: Luping Liu; Chao Du; Tianyu Pang; Zehan Wang; Chongxuan Li; Dong Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Long Text Alignment; Diffusion Models; Preference Optimization; Text-to-Image Generation
2274	Improving Neural Optimal Transport via Displacement Interpolation Authors: Jaemoo Choi; Yongxin Chen; Jaewoong Choi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Optimal Transport; Displacement Interpolation; Image-to-image Translation
2275	InCoDe: Interpretable Compressed Descriptions For Image Generation Authors: Armand Comas; Aditya Chattopadhyay; Feliu Formosa; Changyu Liu; Octavia Camps; Rene Vidal Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Controllable Generation; Image Generation; Interpretability; Information Pursuit; Information Theory; Diffusion Models
2276	Infinite-Resolution Integral Noise Warping for Diffusion Models Authors: Yitong Deng; Winnie Lin; Lingxiao Li; Dmitriy Smirnov; Ryan D Burgert; Ning Yu; Vincent Dedun; Mohammad H. Taghavi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; video generation; temporal consistency; multi-view consistency; noise warping; white Gaussian noise
2277	Information Theoretic Text-to-Image Alignment Authors: CHAO WANG; Giulio Franzese; Alessandro Finamore; Massimo Gallo; Pietro Michiardi Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Text-image alignment; Mutual information
2278	Injecting Universal Jailbreak Backdoors into LLMs in Minutes Authors: Zhuowei Chen; Qiannan Zhang; Shichao Pei Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large language model; Jailbreak; Backdoor; Attack; Safety; Model Editing
2279	InstantPortrait: One-Step Portrait Editing via Diffusion Multi-Objective Distillation Authors: Zhixin Lai; Keqiang Sun; Fu-Yun Wang; Dhritiman Sagar; Erli Ding Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Portrait Editing; Diffusion Multi-Objective Distillation; On Step Inference; Identity Preservation; Text Fidelity
2280	InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences Authors: Chenyang Zhu; Kai Li; Yue Ma; Longxiang Tang; Chengyu Fang; Chubin Chen; Qifeng Chen; Xiu Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-image generation; Image editing; Customized concept swapping
2281	Integrative Decoding: Improving Factuality via Implicit Self-consistency Authors: Yi Cheng; Xiao Liang; Yeyun Gong; Wen Xiao; Song Wang; Yuji Zhang; Wenjun Hou; Kaishuai Xu; Wenge Liu; Wenjie Li; Jian Jiao; Qi Chen; Peng CHENG; Wayne Xiong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Language Models; Hallucination; Factuality; Decoding
2282	IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation Authors: Xinchen Zhang; Ling Yang; Guohao Li; YaQi Cai; xie jiake; Yong Tang; Yujiu Yang; Mengdi Wang; Bin CUI Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Compositional text-to-image generation; Feedback learning for diffusion model
2283	JetFormer: An autoregressive generative model of raw images and text Authors: Michael Tschannen; André Susano Pinto; Alexander Kolesnikov Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative pretraining; multimodal models; vision-language model; text-to-image; normalizing flow; generative model
2284	Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models Authors: Yong-Hyun Park; Chieh-Hsin Lai; Satoshi Hayakawa; Yuhta Takida; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete diffusion models; Efficient sampling
2285	LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding Authors: Doohyuk Jang; Sihwan Park; June Yong Yang; Yeonsung Jung; Jihun Yun; Souvik Kundu; Sung-Yub Kim; Eunho Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Speculative decoding; Visual Autoregressive Models
2286	LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion Authors: Biao Zhang; Peter Wonka Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion; geometry; generative model; 3d
2287	LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning Authors: Zhe Li; Weihao Yuan; Yisheng HE; Lingteng Qiu; Shenhao Zhu; Xiaodong Gu; Weichao Shen; Yuan Dong; Zilong Dong; Laurence Tianruo Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: motion generation; motion-language pretraining; multimodal
2288	Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint Authors: Junwei Zhou; Xueting Li; Lu Qi; Ming-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D generation; gaussian splatting; Text-to-3D; compositional asset generation
2289	Learning Harmonized Representations for Speculative Sampling Authors: Lefan Zhang; Xiaodan Wang; Yanhua Huang; Ruiwen Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: speculative sampling; large language model
2290	Learning LLM-as-a-Judge for Preference Alignment Authors: Ziyi Ye; Xiangsheng Li; Qiuchi Li; Qingyao Ai; Yujia Zhou; Wei Shen; Dong Yan; Yiqun LIU Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM alignment; Generative judge; LLM-as-judge; Reward model
2291	Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels Authors: Zhizheng Liu; Joe Lin; Wayne Wu; Bolei Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Pedestrian Movement Analysis; Human Motion Dataset; Human Motion Generation
2292	Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models Authors: Lin Zhu; Xinbing Wang; Chenghu Zhou; Qinying Gu; Nanyang Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-Image Diffusion Models; Style Transfer; Content Leakage
2293	Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models Authors: Dvir Samuel; Barak Meiri; Haggai Maron; Yoad Tewel; Nir Darshan; Shai Avidan; Gal Chechik; Rami Ben-Ari Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Deterministic Image Inversion; Image Editing; Diffusion Models; Flow Matching; Image Generation
2294	Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better Authors: Enshu Liu; Junyi Zhu; Zinan Lin; Xuefei Ning; Shuaiqi Wang; Matthew B. Blaschko; Sergey Yekhanin; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Model merging; consistency model; diffusion model
2295	Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models Authors: Yuchen Liang; Xiangzhong Fang; Hanting Chen; Yunhe Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Probabilistic Model; Diffusion Sampler; Solver Schedule
2296	Linear combinations of latents in generative models: subspaces and beyond Authors: Erik Bodin; Alexandru I. Stere; Dragos D Margineantu; Carl Henrik Ek; Henry Moss Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; diffusion models; latent space interpolation; latent subspaces; latent representations; flow matching; vae
2297	LongVILA: Scaling Long-Context Visual Language Models for Long Videos Authors: Yukang Chen; Fuzhao Xue; Dacheng Li; Qinghao Hu; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Yihui He; Hongxu Yin; Pavlo Molchanov; Jan Kautz; Linxi… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large language models; Long context; Multi-modality; Video understanding
2298	Looking Backward: Streaming Video-to-Video Translation with Feature Banks Authors: Feng Liang; Akio Kodaira; Chenfeng Xu; Masayoshi Tomizuka; Kurt Keutzer; Diana Marculescu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Streaming video translation; diffusion models; feature banks
2299	Lossy Compression with Pretrained Diffusion Models Authors: Jeremy Vonderfecht; Feng Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Compression; Stable Diffusion; Flux; DDPM; DiffC
2300	Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction Authors: Jing He; Haodong Li; Wei Yin; Yixun Liang; Leheng Li; Kaiqiang Zhou; Hongbo Zhang; Bingbing Liu; Ying-Cong Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Dense Prediction; Monocular Depth Estimation; Monocular Normal Estimation
2301	MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation Authors: Trung X. Pham; Tri Ton; Chang D. Yoo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: vision-guided audio generation; fast inference; open-domain sound synthesis; masked diffusion models; temporal learning; visual sound source localization; gene…
2302	MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs Authors: Jiarui Zhang; Mahyar Khayatkhoei; Prateek Chhikara; Filip Ilievski Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Visual Details; Attention; Gradients; Bias; Perception; Localization
2303	MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation Authors: Akio Hayakawa; Masato Ishii; Takashi Shibuya; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Multi-modal data; Audio-visual generative models
2304	MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance Authors: Xierui Wang; Siming Fu; Qihan Huang; Wanggui He; Hao Jiang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image Personalization; Multiple Subjects; Diffusion Models
2305	MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding Authors: Ranajoy Sadhukhan; Jian Chen; Zhuoming Chen; Vashisth Tiwari; Ruihang Lai; Jinyuan Shi; Ian En-Hsu Yen; Avner May; Tianqi Chen; Beidi Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM Inference; Speculative Decoding; Performance Analysis
2306	Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling Authors: Yuzhe YAO; Jun Chen; Zeyi Huang; Haonan Lin; Mengmeng Wang; Guang Dai; Jingdong Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Exposure Bias
2307	Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Authors: Jonathan Brokman; Amit Giloni; Omer Hofman; Roman Vainshtein; Hisashi Kojima; Guy Gilboa Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: zero-shot; few-shot; generated image detection; total-variation; curvature; score function; diffusion models
2308	Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion Authors: Enrico Ventura; Beatrice Achilli; Gianluigi Silvestri; Carlo Lucibello; Luca Ambrogioni Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative diffusion models; differential geometry; spectral gaps; random matrices; generalization; manifold
2309	Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling Authors: Kaiwen Zheng; Yongxin Chen; Hanzi Mao; Ming-Yu Liu; Jun Zhu; Qinsheng Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: discrete diffusion models; masked models; language modeling
2310	Measuring And Improving Engagement of Text-to-Image Generation Models Authors: Varun Khurana; Yaman Kumar Singla; Jayakumar Subramanian; Changyou Chen; Rajiv Ratn Shah; zhiqiang xu; Balaji Krishnamurthy Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: image generation models; text to image models; image engagement; stable diffusion; dalle; persuasion; engagement; behavioral science; human behavior; behavior…
2311	Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis Authors: Jinbin Bai; Tian Ye; Wei Chow; Enxin Song; Qing-Guo Chen; Xiangtai Li; Zhen Dong; Lei Zhu; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-Image Synthesis; Masked Generative Transformers
2312	MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers Authors: Yiwen Chen; Tong He; Di Huang; Weicai Ye; Sijin Chen; Jiaxiang Tang; Zhongang Cai; Lei Yang; Gang Yu; Guosheng Lin; Chi Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Generation; Transformers; Sequence Learning
2313	Minimal Impact ControlNet: Advancing Multi-ControlNet Integration Authors: Shikun Sun; Min Zhou; Zixuan Wang; Xubin Li; Tiezheng Ge; Zijie Ye; Xiaoyu Qin; Junliang Xing; Bo Zheng; Jia Jia Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; ControlNet
2314	Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Authors: Saurav Jha; Shiqi Yang; Masato Ishii; Mengjie Zhao; christian simon; Muhammad Jehanzeb Mirza; Dong Gong; Lina Yao; Shusuke Takahashi; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-image diffusion model; Continual Learning; Personalization
2315	Mixture of Attentions For Speculative Decoding Authors: Matthieu Zimmer; Milan Gritta; Gerasimos Lampouras; Haitham Bou Ammar; Jun Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: large language models; speculative decoding; EAGLE
2316	MotionClone: Training-Free Motion Cloning for Controllable Video Generation Authors: Pengyang Ling; Jiazi Bu; Pan Zhang; Xiaoyi Dong; Yuhang Zang; Tong Wu; Huaian Chen; Jiaqi Wang; Yi Jin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: controllable video image; viusal representation; text-to-video generation
2317	MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences Authors: Canyu Zhao; Mingyu Liu; Wen Wang; Weihua Chen; Fan Wang; Hao Chen; Bo Zhang; Chunhua Shen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; Vison Language Model; Long Video Generation; Long Story Generation
2318	Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection Authors: Guojin Zhong; pan wang; Jin Yuan; Zhiyong Li; Long Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Non-Stationary Time Series; Anomaly Detection; Multi-Resolution
2319	Multi-Reward as Condition for Instruction-based Image Editing Authors: Xin Gu; Ming Li; Libo Zhang; Fan Chen; Longyin Wen; Tiejian Luo; Sijie Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Instruction-based Image Editing
2320	Multilevel Generative Samplers for Investigating Critical Phenomena Authors: Ankur Singha; Elia Cellini; Kim Andrea Nicoli; Karl Jansen; Stefan Kühn; Shinichi Nakajima Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative models; Multilevel sampling; Criticality; Renormalization group; Sequential training
2321	Multimodal Quantitative Language for Generative Recommendation Authors: Jianyang Zhai; Zi-Feng Mai; Chang-Dong Wang; Feidiao Yang; Xiawu Zheng; Hui Li; Yonghong Tian Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Recommendation System; Generative Recommendation
2322	NRGBoost: Energy-Based Generative Boosted Trees Authors: João Bravo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Energy-Based Models; Generative Models; Gradient Boosting; Tabular Data
2323	NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Authors: Meng YOU; Zhiyu Zhu; Hui LIU; Junhui Hou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion sampling; Novel view synthesis
2324	Neural Approximate Mirror Maps for Constrained Diffusion Models Authors: Berthy Feng; Ricardo Baptista; Katherine Bouman Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative models; diffusion models; mirror maps; constrained generation; inverse problems
2325	No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models Authors: Seyedmorteza Sadat; Manuel Kansy; Otmar Hilliges; Romann M. Weber Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; classifier-free guidance
2326	Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models Authors: Alireza Ganjdanesh; Reza Shirkavand; Shangqian Gao; Heng Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Model Pruning; Diffusion Models; Inference Efficiency
2327	Not-So-Optimal Transport Flows for 3D Point Cloud Generation Authors: Ka-Hei Hui; Chao Liu; Xiaohui Zeng; Chi-Wing Fu; Arash Vahdat Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative models; 3D point cloud generation; flow matching; optimal transport flows
2328	OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation Authors: Yuchen Lin; Chenguo Lin; Jianjin Xu; Yadong MU Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Physics-based Modeling; 3D Dynamics; 3D Gaussian Splatting; Video Score Distillation
2329	On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality Authors: Jerry Yao-Chieh Hu; Weimin Wu; Yi-Chen Lee; Yu-Chao Huang; Minshuo Chen; Han Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Conditional Diffusion Transformer; Statistical Rates; Approximation; Estimation
2330	On the Feature Learning in Diffusion Models Authors: Andi Han; Wei Huang; Yuan Cao; Difan Zou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Feature learning
2331	PEARL: Parallel Speculative Decoding with Adaptive Draft Length Authors: Tianyu Liu; Yun Li; Qitan Lv; Kai Liu; Jianchen Zhu; Winston Hu; Xiao Sun Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: speculative decoding; inference acceleration; large language models
2332	PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores Authors: Guangyi Wang; Yuren Cai; lijiang Li; Wei Peng; Song-Zhi Su Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; accelerated sampling; training-free sampler; orthogonal sampling method
2333	PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Authors: Kyeongkook Seo; Dong-Jun Han; Jaejun Yoo Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative models; Federated learning
2334	PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task Authors: Jing Wang; Ao Ma; Jiasong Feng; Dawei Leng; Yuhui Yin; Xiaodan Liang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Transformer; Image Generation; Video Generation
2335	ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models Authors: Jianrong Lu; Zhiyu Zhu; Junhui Hou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models
2336	PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation Authors: Sang-Hoon Lee; Ha-Yeong Choi; Seong-Whan Lee Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Conditional Flow Matching; Neural Vocoder; Speech Synthesis; Neural Audio Codec; Speech Language Models
2337	Personality Alignment of Large Language Models Authors: Minjun Zhu; Yixuan Weng; Linyi Yang; Yue Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Personality Alignment; Large language models; behavioral preferences of LM
2338	Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion Authors: Zhenwei Wang; Tengfei Wang; Zexin He; Gerhard Petrus Hancke; Ziwei Liu; Rynson W. H. Lau Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D generation; retrieval-augmented generation; multi-view diffusion
2339	Physics-Informed Diffusion Models Authors: Jan-Hendrik Bastek; WaiChing Sun; Dennis Kochmann Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: physics-informed; scientific machine learning; denoising diffusion; inverse problems; generative modeling
2340	PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance Authors: Haohan Weng; Yikai Wang; Tong Zhang; C. L. Philip Chen; Jun Zhu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: mesh generation; auto-regressive generation; 3D generation
2341	PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions Authors: Weifeng Lin; Xinyu Wei; Renrui Zhang; Le Zhuo; Shitian Zhao; Siyuan Huang; Junlin Xie; Peng Gao; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Image Generation; Image-to-Image
2342	PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Authors: Ségolène Tiffany Martin; Anne Gagneux; Paul Hagemann; Gabriele Steidl Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Plug-and-Play; Flow Matching; image restoration; inverse problems; generative modeling
2343	Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation Authors: Hiroshi Takahashi; Tomoharu Iwata; Atsutoshi Kumagai; Yuuki Yamanaka; Tomoya Yamashita Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Positive-Unlabeled Learning
2344	PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing Authors: Feng Tian; Yixuan Li; Yichao Yan; Shanyan Guan; Yanhao Ge; Xiaokang Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Measurements; Posterior Sampling; Image Editing; Inversion-free; Trianing-free.
2345	Precise Parameter Localization for Textual Generation in Diffusion Models Authors: Łukasz Staniszewski; Bartosz Cywiński; Franziska Boenisch; Kamil Deja; Adam Dziedzic Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; text edition; LoRA; localization; SD-XL; SD3; DeepFloyd IF
2346	Progressive Mixed-Precision Decoding for Efficient LLM Inference Authors: Hao Mark Chen; Fuwen Tan; Alexandros Kouris; Royson Lee; Hongxiang Fan; Stylianos Venieris Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM Quantization; Efficient LLM Inference
2347	Pyramidal Flow Matching for Efficient Video Generative Modeling Authors: Yang Jin; Zhicheng Sun; Ningyuan Li; Kun Xu; Kun Xu; Hao Jiang; Nan Zhuang; Quzhe Huang; Yang Song; Yadong MU; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; Flow Matching; Video Generation
2348	RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards Authors: Xinze Li; Sen Mei; Zhenghao Liu; Yukun Yan; Shuo Wang; Shi Yu; Zheni Zeng; Hao Chen; Ge Yu; Zhiyuan Liu; Maosong Sun; Chenyan Xiong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation
2349	RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models Authors: Tanqiu Jiang; Changjiang Li; Fenglong Ma; Ting Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; retrieval augmented generation; differential privacy
2350	Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering Authors: Kha Pham; Hung Le; Man Ngo; Truyen Tran Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: in-context learning; order sensitivity; LLMs; clustering; cluster-based search; positional encoding; attention mask; serial-position effect; cluster-based sear…
2351	Rational Decision-Making Agent with Learning Internal Utility Judgment Authors: Yining Ye; Xin Cong; Shizuo Tian; Yujia Qin; Chong Liu; Yankai Lin; Zhiyuan Liu; Maosong Sun Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Decision Making; Autonomous Agent; Large Lanugage Model; Elo Rating
2352	RazorAttention: Efficient KV Cache Compression Through Retrieval Heads Authors: Hanlin Tang; Yang Lin; Jing Lin; Qingsen Han; Danning Ke; Shikuan Hong; Yiwu Yao; Gongyi Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLMs; KV cache compression; LLM inference acceleration
2353	Real-Time Video Generation with Pyramid Attention Broadcast Authors: Xuanlei Zhao; Xiaolong Jin; Kai Wang; Yang You Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Acceleration; DiT; Video Generation; Real-Time; Parallelism; Sequence Parallelism
2354	RecDreamer: Consistent Text-to-3D Generation via Uniform Score Distillation Authors: Chenxi Zheng; Yihong Lin; Bangzhen Liu; Xuemiao Xu; Yongwei Nie; Shengfeng He Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D generation
2355	Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow Authors: Fu-Yun Wang; Ling Yang; Zhaoyang Huang; Mengdi Wang; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Rectified-Flow
2356	Repulsive Latent Score Distillation for Solving Inverse Problems Authors: Nicolas Zilberstein; Morteza Mardani; Santiago Segarra Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Inverse problems; Score distillation; Diffusion models; Mode collapse; Variational inference
2357	Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Authors: Tongda Xu; Xiyan Cai; Xinjie Zhang; Xingtong Ge; Dailan He; Ming Sun; Jingjing Liu; Ya-Qin Zhang; Jian Li; Yan Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Inverse problem
2358	RevisEval: Improving LLM-as-a-Judge via Response-Adapted References Authors: Qiyuan Zhang; Yufei Wang; Tiezheng YU; Yuxin Jiang; Chuhan Wu; Liangyou Li; Yasheng Wang; Xin Jiang; Lifeng Shang; Ruiming Tang; Fuyuan Lyu; Chen Ma Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: large language models; evaluation; revision
2359	Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples Authors: Yangming Li; Max Ruiz Luyten; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Noisy Data; Risk-Sensitive SDE; Generative Models
2360	Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Authors: Milena Gazdieva; Jaemoo Choi; Alexander Kolesov; Jaewoong Choi; Petr Mokrov; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: unbalanced optimal transport; barycenter; generative modeling
2361	RouteLLM: Learning to Route LLMs from Preference Data Authors: Isaac Ong; Amjad Almahairi; Vincent Wu; Wei-Lin Chiang; Tianhao Wu; Joseph E. Gonzalez; M Waleed Kadous; Ion Stoica Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large language models; query routing
2362	SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation Authors: Koichi Namekata; Sherwin Bahmani; Ziyi Wu; Yash Kant; Igor Gilitschenski; David B. Lindell Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: zero-shot; tuning-free; self-guided; image-to-video diffusion; trajectory control
2363	SMITE: Segment Me In TimE Authors: Amirhossein Alimohammadi; Sauradip Nag; Saeid Asgari; Andrea Tagliasacchi; Ghassan Hamarneh; Ali Mahdavi Amiri Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video segmentation; diffusion models; video diffusion; part segmentation
2364	SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency Authors: Yiming Xie; Chun-Han Yao; Vikram Voleti; Huaizu Jiang; Varun Jampani Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative models; 4D generation
2365	SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix Authors: Peng Dai; Feitong Tan; Qiangeng Xu; David Futschik; Ruofei Du; Sean Fanello; XIAOJUAN QI; Yinda Zhang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video generation; stereoscopic video; inpainting; diffusion model
2366	SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation Authors: Teng Hu; Jiangning Zhang; Ran Yi; Hongrui Huang; Yabiao Wang; Lizhuang Ma Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Fine-tuning
2367	SafeDiffuser: Safe Planning with Diffusion Probabilistic Models Authors: Wei Xiao; Tsun-Hsuan Wang; Chuang Gan; Ramin Hasani; Mathias Lechner; Daniela Rus Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Safety guarantees; Planning and control
2368	Scaling Transformers for Low-Bitrate High-Quality Speech Coding Authors: Julian D Parker; Anton Smirnov; Jordi Pons; CJ Carr; Zack Zukowski; Zach Evans; Xubo Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Audio coding; neural audio codecs; transformers
2369	Scaling up Masked Diffusion Models on Text Authors: Shen Nie; Fengqi Zhu; Chao Du; Tianyu Pang; Qian Liu; Guangtao Zeng; Min Lin; Chongxuan Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Masked Diffusion Models; Scaling Laws; Conditional Generation; Language Understanding; Reverse Curse; Temporal Quality Degradation
2370	Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Authors: Tianqi Chen; Shujian Zhang; Mingyuan Zhou Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: machine unlearning; diffusion models; generative modeling; trustworthy machine learning
2371	Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations Authors: Litu Rout; Yujia Chen; Nataniel Ruiz; Constantine Caramanis; Sanjay Shakkottai; Wen-Sheng Chu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Inverse Problems; Generative Modeling; Diffusion Models; Rectified Flows; Posterior Sampling; Optimal Control
2372	Semantix: An Energy-guided Sampler for Semantic Style Transfer Authors: Huiang He; Minghui Hu; Chuanxia Zheng; Chaoyue Wang; Tat-Jen Cham Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: style transfer; diffusion model; energy guidance
2373	Shallow diffusion networks provably learn hidden low-dimensional structure Authors: Nicholas Matthew Boffi; Arthur Jacot; Stephen Tu; Ingvar Ziemann Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative models; diffusion models; denoising score matching; low dimensional structure; Barron classes
2374	Simple Guidance Mechanisms for Discrete Diffusion Models Authors: Yair Schiff; Subham Sekhar Sahoo; Hao Phung; Guanghan Wang; Sam Boshar; Hugo Dalla-torre; Bernardo P de Almeida; Alexander M Rush; Thomas PIERROT; Volodymyr Kuleshov Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete Diffusion; Guidance
2375	Simple ReFlow: Improved Techniques for Fast Flow Models Authors: Beomsu Kim; Yu-Guan Hsieh; Michal Klein; marco cuturi; Jong Chul Ye; Bahjat Kawar; James Thornton Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow matching; diffusion models; reflow; optimal transport; generative modeling
2376	Solving Video Inverse Problems Using Image Diffusion Models Authors: Taesung Kwon; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Image diffusion models; Video inverse problems; Batch-consistent sampling
2377	Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling Authors: Wenda Xu; Rujun Han; Zifeng Wang; Long Le; Dhruv Madeka; Lei Li; William Yang Wang; Rishabh Agarwal; Chen-Yu Lee; Tomas Pfister Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: LLM; Knowledge Distillation; On-policy
2378	Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting Authors: Zilong Wang; Zifeng Wang; Long Le; Steven Zheng; Swaroop Mishra; Vincent Perot; Yuwei Zhang; Anush Mattapalli; Ankur Taly; Jingbo Shang; Chen-Yu Lee; Tomas Pfister Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: generative model; retrieval augmented generation
2379	SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget Authors: Zihao Wang; Bin CUI; Shaoduo Gan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: KV-cache; LLM inference optimization
2380	Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction Authors: Jarrid Rector-Brooks; Mohsin Hasan; Zhangzhi Peng; Cheng-Hao Liu; Sarthak Mittal; Nouha Dziri; Michael M. Bronstein; Pranam Chatterjee; Alexander Tong; Joey Bose Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete diffusion models; language modeling; probabilistic inference
2381	StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces Authors: Kyeongmin Yeo; Jaihoon Kim; Minhyuk Sung Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Synchronization; Score Distillation; Panorama; Texturing
2382	Storybooth: Training-Free Multi-Subject Consistency for Improved Visual Storytelling Authors: Jaskirat Singh; Junshen K Chen; Jonas K Kohler; Michael F Cohen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: consistent text-to-image generation; visual storytelling; story generation
2383	SymDiff: Equivariant Diffusion via Stochastic Symmetrisation Authors: Leo Zhang; Kianoosh Ashouritaklimi; Yee Whye Teh; Rob Cornish Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Equivariance; Diffusion Models; Symmetrisation; Molecular Generation; Markov Categories
2384	SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints Authors: Jianhong Bai; Menghan Xia; Xintao Wang; Ziyang Yuan; Zuozhu Liu; Haoji Hu; Pengfei Wan; Di ZHANG Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Diffusion Model
2385	T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching Authors: Zizheng Pan; Bohan Zhuang; De-An Huang; Weili Nie; Zhiding Yu; Chaowei Xiao; Jianfei Cai; Anima Anandkumar Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion model; transformers; model stitching
2386	T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design Authors: Jiachen Li; Qian Long; Jian Zheng; Xiaofeng Gao; Robinson Piramuthu; Wenhu Chen; William Yang Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: text-to-video generation; diffusion model; consistency model
2387	TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning Authors: Tsiry Mayet; Pourya Shamsolmoali; Simon Bernard; Eric Granger; Romain HÉRAULT; Clement Chatelain Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Inpainting
2388	TFG-Flow: Training-free Guidance in Multimodal Generative Flow Authors: Haowei Lin; Shanda Li; Haotian Ye; Yiming Yang; Stefano Ermon; Yitao Liang; Jianzhu Ma Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow matching; molecular design; training-free guidance
2389	TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models Authors: Leigang Qu; Haochuan Li; Tan Wang; Wenjie Wang; Yongqi Li; Liqiang Nie; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Text-to-Image Generation; Cross-Modal Retrieval
2390	Taming Overconfidence in LLMs: Reward Calibration in RLHF Authors: Jixuan Leng; Chengsong Huang; Banghua Zhu; Jiaxin Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Calibration; RLHF; Large Language Models
2391	Text-to-Image Rectified Flow as Plug-and-Play Priors Authors: Xiaofeng Yang; Chen Cheng; Xulei Yang; Fayao Liu; Guosheng Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: 3D Generation; Rectified Flow; Flow Matching
2392	The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise Authors: Yuanhao Ban; Ruochen Wang; Tianyi Zhou; Boqing Gong; Cho-Jui Hsieh; Minhao Cheng Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion models; Initial noise
2393	Think while You Generate: Discrete Diffusion with Planned Denoising Authors: Sulin Liu; Juno Nam; Andrew Campbell; Hannes Stark; Yilun Xu; Tommi Jaakkola; Rafael Gomez-Bombarelli Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: discrete diffusion; generative models
2394	ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge Authors: Eslam Mohamed BAKR; Liangbing Zhao; Vincent Tao Hu; Matthieu Cord; Patrick Perez; Mohamed Elhoseiny Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative AI; Diffusion models; Cascaded models; Interpretability; Image Editing
2395	Tool-Planner: Task Planning with Clusters across Multiple Tools Authors: Yanming Liu; Xinyue Peng; Jiannan Cao; Shi Bo; Yuwei Zhang; Xuhong Zhang; Sheng Cheng; Xun Wang; Jianwei Yin; Tianyu Du Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Tool Learning; Task Planning; LLM agent
2396	TopoDiffusionNet: A Topology-aware Diffusion Model Authors: Saumya Gupta; Dimitris Samaras; Chao Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Topology; Diffusion Models; Persistent Homology; Counting
2397	Towards Hierarchical Rectified Flow Authors: Yichi Zhang; Yici Yan; Alex Schwing; Zhizhen Zhao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; Flow Matching; Rectified Flow
2398	Towards Improving Exploration through Sibling Augmented GFlowNets Authors: Kanika Madan; Alex Lamb; Emmanuel Bengio; Glen Berseth; Yoshua Bengio Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Generative Flow Networks; Exploration
2399	Towards Realistic Data Generation for Real-World Super-Resolution Authors: Long Peng; Wenbo Li; Renjing Pei; Jingjing Ren; Jiaqi Xu; Yang Wang; Yang Cao; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Real-world Image Super-Resolution; Data Generation
2400	Towards Semantic Equivalence of Tokenization in Multimodal LLM Authors: Shengqiong Wu; Hao Fei; Xiangtai Li; Jiayi Ji; Hanwang Zhang; Tat-Seng Chua; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: MLLM; Vision-Language Understaning; Vision Generation; Vision Editing; Vision Tokenization
2401	Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias Authors: Rui Lu; Runzhe Wang; Kaifeng Lyu; Xitai Jiang; Gao Huang; Mengdi Wang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Deep learning theory; generative model; Hallucination
2402	Training Free Exponential Context Extension via Cascading KV Cache Authors: Jeffrey Willette; Heejun Lee; Youngwan Lee; Myeongjae Jeon; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: transformer; efficiency; linear attention
2403	Training Free Guided Flow-Matching with Optimal Control Authors: Luran Wang; Chaoran Cheng; Yizhen Liao; Yanru Qu; Ge Liu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: flow matching; controlled generation; inverse problem
2404	Training-Free Diffusion Model Alignment with Sampling Demons Authors: Po-Hung Yeh; Kuang-Huei Lee; Jun-cheng Chen Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Model; Consistency Model; Score-Based Method; EDM; Stochastic Process; Itô's Lemma; RLHF; Value Function; Preference Alignment
2405	Trajectory attention for fine-grained video motion control Authors: Zeqi Xiao; Wenqi Ouyang; Yifan Zhou; Shuai Yang; Lei Yang; Jianlou Si; Xingang Pan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Trajectory attention; video generation; motion control
2406	Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving Authors: Kairui Yang; Zihao Guo; Gengjie Lin; Haotian Dong; Zhao Huang; Yipeng Wu; Die Zuo; Jibin Peng; Ziyuan Zhong; Xin WANG; Qing Guo; Xiaosong Jia; Junchi Yan; Di Lin Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Trajectory Prediction; Large Language Model; Autonomous Driving
2407	Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA Authors: Zhen Yang; Ziwei Du; Minghan Zhang; Wei Du; Jie Chen; Zhen Duan; Shu Zhao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: TableQA; Triples
2408	Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Authors: Yuchen Zhu; Tianrong Chen; Lingkai Kong; Evangelos Theodorou; Molei Tao Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: non-Euclidean generative modeling; denoising diffusion; Lie group
2409	Truncated Consistency Models Authors: Sangyun Lee; Yilun Xu; Tomas Geffner; Giulia Fanti; Karsten Kreis; Arash Vahdat; Weili Nie Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Consistency models; diffusion models; generative models
2410	Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization Authors: Zichen Miao; Zhengyuan Yang; Kevin Lin; Ze Wang; Zicheng Liu; Lijuan Wang; Qiang Qiu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Distilled Diffusion Models; Fine-tuning
2411	TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation Authors: Gihyun Kwon; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Custom Concepts; Text-to-Image; Video
2412	TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking Authors: Danqing Wang; Jianxin Ma; Fei Fang; Lei Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Reasoning; Large Language Models; Self-training
2413	UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models Authors: Fanghua Yu; Jinjin Gu; Jinfan Hu; Zheyuan Li; Chao Dong Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Lowlevel Vision; Conditional Generation
2414	UniGEM: A Unified Approach to Generation and Property Prediction for Molecules Authors: Shikun Feng; Yuyan Ni; Lu yan; Zhi-Ming Ma; Wei-Ying Ma; Yanyan Lan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Molecular generation; representation learning
2415	Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers Authors: Runjia Li; Qiwei Di; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion Models; Probability Flow ODEs; Unified Framework; Deterministic Samplers
2416	Unlocking Point Processes through Point Set Diffusion Authors: David Lüdke; Enric Rabasseda Raventós; Marcel Kollovieh; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Model; Diffusion Model; Set Model; Point Sets; Forecasting; Density Estimation; Spatial; Temporal; Probabilistic Models
2417	VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control Authors: Sherwin Bahmani; Ivan Skorokhodov; Aliaksandr Siarohin; Willi Menapace; Guocheng Qian; Michael Vasilkovsky; Hsin-Ying Lee; Chaoyang Wang; Jiaxu Zou; Andrea Tagliasacchi; David B.… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: video generation; 3d; diffusion
2418	VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration Authors: Dezhan Tu; Danylo Vashchilenko; Yuzhe Lu; Panpan Xu Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: KV Cache Compression; Vision-Language Models; Inference Acceleration; Sparsity; Modality
2419	VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis Authors: Yumeng Li; William H. Beluch; Margret Keuper; Dan Zhang; Anna Khoreva Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Text-to-Video; Diffusion Models; Temporal Attention
2420	Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors Authors: Haiyu Wu; Jaskirat Singh; Sicong Tian; Liang Zheng; Kevin Bowyer Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Identity privacy; Synthetic face dataset generation; Face recognition; Image generation
2421	ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler Authors: Serin Yang; Taesung Kwon; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Keyframe interpolation; Stable video diffusion; Bidirectional diffusion sampling
2422	Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators Authors: Wentao Zhang; Junliang Guo; Tianyu He; Li Zhao; Linli Xu; Jiang Bian Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Video Generation; Transformer; Zero-Shot
2423	VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing Authors: Xiangpeng Yang; Linchao Zhu; Hehe Fan; Yi Yang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion model; video editing
2424	VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents Authors: Shi Yu; Chaoyue Tang; Bokai Xu; Junbo Cui; Junhao Ran; Yukun Yan; Zhenghao Liu; Shuo Wang; Xu Han; Zhiyuan Liu; Maosong Sun Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Retrieval-augmented Generation; Vision-language Models
2425	Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models Authors: Hao-Chien Hsueh; Wen-Hsiao Peng; Ching-Chun Huang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion probabilistic models; Image generation
2426	What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models Authors: Ahmed Imtiaz Humayun; Ibtihel Amara; Cristina Nader Vasconcelos; Deepak Ramachandran; Candice Schumann; Junfeng He; Katherine A Heller; Golnoosh Farnadi; Negar Rostamzadeh; Mohamm… Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Geometry; Diffusion models; VAE; Generative Models; Guidance; Memorization; Out-of-Distribution Detection
2427	Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction Authors: Junyi Chen; Di Huang; Weicai Ye; Wanli Ouyang; Tong He Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Generative Models; Novel View Synthesis; Camera Pose Estimation
2428	WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models Authors: Shengda Fan; Xin Cong; Yuepeng Fu; Zhong Zhang; Shuyan Zhang; Yuanwei Liu; Yesai Wu; Yankai Lin; Zhiyuan Liu; Maosong Sun Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Large Language Models; Process Automation; Workflow; Tool Learning
2429	World Model on Million-Length Video And Language With Blockwise RingAttention Authors: Hao Liu; Wilson Yan; Matei Zaharia; Pieter Abbeel Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: long context; world model; attention
2430	X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios Authors: Yichen Xie; Chenfeng Xu; Chensheng Peng; Shuqi Zhao; Nhat Ho; Alexander T. Pham; Mingyu Ding; Masayoshi Tomizuka; Wei Zhan Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: diffusion models; multi-modality data; autonomous driving
2431	You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs Authors: Yihong Luo; Xiaolong Chen; Xinghua Qu; Tianyang Hu; Jing Tang Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: One-step text-to-image generation; Diffusion Models; Generative Adversarial Networks
2432	Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data Authors: Jingyang Ou; Shen Nie; Kaiwen Xue; Fengqi Zhu; Jiacheng Sun; Zhenguo Li; Chongxuan Li Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Discrete Diffusion Models; Diffusion Models; Language Modeling; Concrete Score; Score Entropy
2433	Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection Authors: Bai LiChen; Shitong Shao; zikai zhou; Zipeng Qi; zhiqiang xu; Haoyi Xiong; Zeke Xie Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: Diffusion model; Semantic Information; Classifier Guidance Gap
2434	cryoSPHERE: Single-Particle HEterogeneous REconstruction from cryo EM Authors: Gabriel Ducrocq; Lukas Grunewald; Sebastian Westenhoff; Fredrik Lindsten Affiliation: 官方页面未列出 Official area / track: generative models Recognition: Poster/Regular Keywords: cryoEM; protein structure; Deep Learning; Machine Learning; generative modelling
2435	A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention Authors: Heejun Lee; Geon Park; Youngwan Lee; Jaduk Suh; Jina Kim; Wonyong Jeong; Bumsik Kim; Hyemin Lee; Myeongjae Jeon; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Efficient Attention Mechanism; Long-context LLM Decoding; KV Cache Offloading; software libraries; hardware; systems; etc.
2436	ACES: Automatic Cohort Extraction System for Event-Stream Datasets Authors: Justin Xu; Jack Gallifant; ALISTAIR JOHNSON; Matthew B.A. McDermott Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Automatic Task Specification; Cohort Extraction; Electronic Health Records; Open Source Software; Benchmarks; Datasets; software libraries; hardware; systems;…
2437	AgentStudio: A Toolkit for Building General Virtual Agents Authors: Longtao Zheng; Zhiyuan Huang; Zhenghai Xue; Xinrun Wang; Bo An; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Environment; Benchmark; Agent; Digital Automation; software libraries; hardware; systems; etc.
2438	CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design Authors: Wenji Fang; Shang Liu; Jing Wang; Zhiyao Xie Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Electronics Design Automation (EDA); circuit representation learning; multimodal learning; self-supervised learning; hardware circuits; software libraries; har…
2439	EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models Authors: Jialiang Cheng; Ning Gao; Yun Yue; Zhiling Ye; Jiadi Jiang; Jian Sha Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Distributed Training; Large Language Models; Local SGD; Training Acceleration; software libraries; hardware; systems; etc.
2440	Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models Authors: Keisuke Kamahori; Tian Tang; Yile Gu; Kan Zhu; Baris Kasikci Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: NLP in resource-constrained settings; inference methods; software libraries; hardware; systems; etc.
2441	FlashMask: Efficient and Rich Mask Extension of FlashAttention Authors: Guoxia Wang; Jinle Zeng; Xiyuan Xiao; Siming Wu; Jiabin Yang; Lujing Zheng; Zeyu Chen; Jiang Bian; Dianhai Yu; Haifeng Wang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Attention Mask Efficient Representation; Efficient Attention Computation; Long context; IO complexity; GPUs; LLMs; software libraries; hardware; systems; etc.
2442	FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware Authors: Korbinian Pöppel; Maximilian Beck; Sepp Hochreiter Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: RNN; LSTM; Sequence Models; GPU; Hardware Optimization; software libraries; hardware; systems; etc.
2443	From Commands to Prompts: LLM-based Semantic File System for AIOS Authors: Zeru Shi; Kai Mei; Mingyu Jin; Yongye Su; Chaoji Zuo; Wenyue Hua; Wujiang Xu; Yujie Ren; Zirui Liu; Mengnan Du; Dong Deng; Yongfeng Zhang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Large Language Model; Semantic File System; software libraries; hardware; systems; etc.
2444	From Promise to Practice: Realizing High-performance Decentralized Training Authors: Zesen Wang; Jiaojiao Zhang; Xuyang Wu; Mikael Johansson Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: distributed training; data parallelism; decentralized optimization; software libraries; hardware; systems; etc.
2445	HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment Authors: YOUHE JIANG; Ran Yan; Binhang Yuan Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Distributed Machine Learning System; Generative Inference of LLM.; software libraries; hardware; systems; etc.
2446	Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection Authors: Lei Shen; Zhenheng Tang; Lijun Wu; Yonggang Zhang; Xiaowen Chu; Tao Qin; Bo Han Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Federated Learning; software libraries; hardware; systems; etc.
2447	Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface Authors: Wenyue Hua; Mengting Wan; JAGANNATH SHASHANK SUBRAMANYA SAI VADREVU; Ryan Nadel; Yongfeng Zhang; Chi Wang 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; efficiency; human-computer interaction; software libraries; hardware; systems; etc.
2448	Learning Diagrams: A Graphical Language for Compositional Training Regimes Authors: Mason Lary; Richard Samuelson; Alexander Wilentz; Alina Zare; Matthew Klawonn; James Fairbanks Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: ML Libraries; Training; Foundation Models; Multi-Task Learning; software libraries; hardware; systems; etc.
2449	NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments Authors: Cyan Subhra Mishra; Deeksha Chaudhary; Jack Sampson; Mahmut Kandemir; Chita R. Das Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Intermittent Computing; Energy Harvesting; Intermittency Aware Training; Hardware-Software codesign; software libraries; hardware; systems; etc.
2450	NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals Authors: Jaden Fried Fiotto-Kaufman; Alexander Russell Loftus; Eric Todd; Jannik Brinkmann; Koyena Pal; Dmitrii Troitskii; Michael Ripa; Adam Belfki; Can Rager; Caden Juang; Aaron Mueller;… Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: interpretability; safety; large language models; distributed inference; scalable infrastructure; deferred execution; computation graphs; resource sharing; soft…
2451	OpenHands: An Open Platform for AI Software Developers as Generalist Agents Authors: Xingyao Wang; Boxuan Li; Yufan Song; Frank F. Xu; Xiangru Tang; Mingchen Zhuge; Jiayi Pan; Yueqi Song; Bowen Li; Jaskirat Singh; Hoang H. Tran; Fuqiang Li; Ren Ma; Mingzhang Zheng… Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: AI agents; evaluation; infrastructure; benchmark; software libraries; hardware; systems; etc.
2452	Preble: Efficient Distributed Prompt Scheduling for LLM Serving Authors: Vikranth Srivatsa; Zijian He; Reyna Abhyankar; Dongming Li; Yiying Zhang Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: LLM prefix caching; LLM serving; Distributed systems for ML; software libraries; hardware; systems; etc.
2453	RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs Authors: Xi Xie; Yuebo Luo; Hongwu Peng; Caiwen Ding Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: row-wise topk selection; GPU; CUDA; software libraries; hardware; systems; etc.
2454	Scalable Bayesian Learning with posteriors Authors: Samuel Duffield; Kaelan Donatella; Johnathan Chiu; Phoebe Klett; Daniel Simpson Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Bayesian deep learning; PyTorch; Variational Inference; MCMC; software libraries; hardware; systems; etc.
2455	SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation Authors: Xu Ouyang; Felix Xiaozhu Lin; Yangfeng Ji Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: Secure Multiparty Computation; Machine Learning; Efficiency; Transformer model; software libraries; hardware; systems; etc.
2456	TorchTitan: One-stop PyTorch native solution for production ready LLM pretraining Authors: Wanchao Liang; Tianyu Liu; Less Wright; Will Constable; Andrew Gu; Chien-Chin Huang; Iris Zhang; Wei Feng; Howard Huang; Junjie Wang; Sanket Purandare; Gokul Nadathur; Stratos Idr… 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; pre-training; data parallel; tensor parallel; pipeline parallel; pytorch; llama; distributed checkpointing; 3D par…
2457	When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction Authors: Zhenchang Xing; Yang Liu; Zhuo Cheng; Qing Huang; Dehai Zhao; Daniel SUN; Chenhua Liu Affiliation: 官方页面未列出 Official area / track: infrastructure, software libraries, hardware, systems, etc. Recognition: Poster/Regular Keywords: large language model; human-LLM interaction; API; prompt engineering; software engineering; controlled natural language; software libraries; hardware; systems;…
2458	$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps Authors: Junseo Park; Hyeryung Jang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Image-to-Image Diffusion Model; Interpretable AI; Explainable AI; Image Attribution
2459	AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks Authors: Van Nguyen; Tingmin Wu; Xingliang YUAN; Marthie Grobler; Surya Nepal; Carsten Rudolph Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Phishing Attacks; Email Phishing Attack Localization; Interpretability and Explainable AI; Deep Learning
2460	Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers Authors: Quoc-Vinh Lai-Dang; Taemin Kang; Seungah Son Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Transformers; Interpretable AI
2461	Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence Authors: Yipei Wang; Xiaoqian Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: deep ensemble; trustworthiness; distributional equivalence
2462	An Efficient Framework for Crediting Data Contributors of Diffusion Models Authors: MingYu Lu; Chris Lin; Chanwoo Kim; Su-In Lee Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: data attribution; diffusion models; Shapley values
2463	Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics Authors: Yaniv Nikankin; Anja Reusch; Aaron Mueller; Yonatan Belinkov Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; interpretability; arithmetic; nlp; language models
2464	AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution Authors: Fengyuan Liu; Nikhil Kandpal; Colin Raffel Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Model; Context Attribution; Interpretability
2465	Attributing Culture-Conditioned Generations to Pretraining Corpora Authors: Huihan Li; Arnav Goel; Keyu He; Xiang Ren Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: culture bias; pretraining data; memorization; generalization
2466	Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution Authors: Haiyan Zhao; Heng Zhao; Bo Shen; Ali Payani; Fan Yang; Mengnan Du Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large language model; Explainability; Probing; Gaussian distribution
2467	Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability Authors: Yujin Han; Lei Xu; Sirui Chen; Difan Zou; Chaochao Lu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Models; Causality; Interpretability
2468	Boosting the visual interpretability of CLIP via adversarial fine-tuning Authors: Shizhan Gong; Haoyu LEI; Qi Dou; Farzan Farnia Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; vision-language models; CLIP; adversarial fine-tuning
2469	Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization Authors: Wei Liu; Zhiying Deng; Zhongyu Niu; Jun Wang; Haozhao Wang; Zhigang Zeng; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; natural language processing; feature selection
2470	CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Authors: Jihye Choi; Jayaram Raghuram; Yixuan Li; Somesh Jha Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: foundation models; concept bottleneck models; distribution shifts; concept-based explanations
2471	Capability Localization: Capabilities Can be Localized rather than Individual Knowledge Authors: Xiusheng Huang; Jiaxiang Liu; Yequan Wang; Jun Zhao; Kang Liu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Capability Localization; Knowledge Localization
2472	Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning Authors: Gabriele Dominici; Pietro Barbiero; Mateo Espinosa Zarlenga; Alberto Termine; Martin Gjoreski; Giuseppe Marra; Marc Langheinrich Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Concept Based Models; Concept Bottleneck Models; Explainable AI; Interpretability
2473	Concept Bottleneck Language Models For Protein Design Authors: Aya Abdelsalam Ismail; Tuomas Oikarinen; Amy Wang; Julius Adebayo; Samuel Don Stanton; Hector Corrada Bravo; Kyunghyun Cho; Nathan C. Frey Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: LLMs; protein design; concept bottleneck
2474	Concept Bottleneck Large Language Models Authors: Chung-En Sun; Tuomas Oikarinen; Berk Ustun; Tsui-Wei Weng Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: LLMs; Interpretability; Concept Bottleneck Model
2475	Controllable Context Sensitivity and the Knob Behind It Authors: Julian Minder; Kevin Du; Niklas Stoehr; Giovanni Monea; Chris Wendler; Robert West; Ryan Cotterell Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: analysis; interpretability; mechanistic interpretability; context vs prior knowledge; large language models
2476	Counterfactual Concept Bottleneck Models Authors: Gabriele Dominici; Pietro Barbiero; Francesco Giannini; Martin Gjoreski; Giuseppe Marra; Marc Langheinrich Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Concept Bottleneck Models; Concept Based Model; Counterfactuals; Explainable AI; Interpretability
2477	DICE: Data Influence Cascade in Decentralized Learning Authors: Tongtian Zhu; Wenhao Li; Can Wang; Fengxiang He Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Decentralized Learning; Data Influence; Data Valuation; Contribution Attribution; Incentive Mechanism
2478	Data-centric Prediction Explanation via Kernelized Stein Discrepancy Authors: Mahtab Sarvmaili; Hassan Sajjad; Ga Wu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Prediction Explanation; Kernelized Stein Discrepency
2479	Deep Networks Learn Features From Local Discontinuities in the Label Function Authors: Prithaj Banerjee; Harish Guruprasad Ramaswamy; Mahesh Lorik Yadav; Chandra Shekar Lakshminarayanan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Deep Learning; Feature learning; Interpretable; Local Discontinuities; Deep learning theory; Deep neural architectures; Supervised learning
2480	Density estimation with LLMs: a geometric investigation of in-context learning trajectories Authors: Toni J.B. Liu; Nicolas Boulle; Raphaël Sarfati; Christopher Earls Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large language models; in-context learning; Intensive Principal Component Analysis; density estimation; Mechanistic interpretations; High-dimensional learning…
2481	Discovering Influential Neuron Path in Vision Transformers Authors: Yifan Wang; Yifei Liu; Yingdong Shi; Changming Li; Anqi Pang; Sibei Yang; Jingyi Yu; Kan Ren Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainability; Vision Transformer; Neuron
2482	Disentangling Representations through Multi-task Learning Authors: Pantelis Vafidis; Aman Bhargava; Antonio Rangel Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: zero-shot generalization; disentanglement; interpretability; world models; multi-task learning; computational neuroscience; neuroAI; evidence accumulation; cog…
2483	Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations? Authors: Letitia Parcalabescu; Anette Frank Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; multimodality; natural language explanations; vision and language; benchmarking
2484	Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting Authors: Suraj Anand; Michael A. Lepori; Jack Merullo; Ellie Pavlick Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Natural Language Processing; In-Context Learning; In-Weights Learning; Active Forgetting
2485	Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition Authors: Aliyah R. Hsu; Georgia Zhou; Yeshwanth Cherapanamjeri; Yaxuan Huang; Anobel Odisho; Peter R. Carroll; Bin Yu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Automated Circuit Discovery; Explainable AI; Interpretation; Machine Learning; Language Models; Transformers
2486	Efficient Dictionary Learning with Switch Sparse Autoencoders Authors: Anish Mudide; Joshua Engels; Eric J Michaud; Max Tegmark; Christian Schroeder de Witt Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; mixture of experts; sparse autoencoders
2487	Efficient Top-m Data Values Identification for Data Selection Authors: Xiaoqiang Lin; Xinyi Xu; See-Kiong Ng; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: data selection; data valuation; top-m arms identification
2488	Emergence of a High-Dimensional Abstraction Phase in Language Transformers Authors: Emily Cheng; Diego Doimo; Corentin Kervadec; Iuri Macocco; Lei Yu; Alessandro Laio; Marco Baroni Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; intrinsic dimension; large language models
2489	Enhancing Prediction Performance through Influence Measure Authors: Shuguang Yu; Wenqian Xu; Xinyi Zhou; Xuechun Wang; Hongtu Zhu; Fan Zhou Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: local influence measure; training robustness; active learning
2490	Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer Authors: Xinyue Hu; Zhibin Duan; Bo Chen; Mingyuan Zhou Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Factor Analysis; Uncertainty Estimation; explainable AI; Bayesian Last Layer
2491	Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? Authors: Maxime Méloux; Silviu Maniu; François Portet; Maxime Peyrard Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: AI interpretability; mechanistic interpretability; causal consistency; explanatory algorithms; circuits
2492	Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks Authors: Maximilian Muschalik; Fabian Fumagalli; Paolo Frazzetto; Janine Strotherm; Luca Hermes; Alessandro Sperduti; Eyke Hüllermeier; Barbara Hammer Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Graph Neural Networks (GNNs); Shapley Interactions; Game Theory; Explainable AI; Feature Interactions
2493	Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons Authors: Shahaf Bassan; Ron Eliav; Shlomit Gur Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: XAI; explainability; explainable AI; self-explaining neural networks; Formal XAI; sufficient reasons; abductive explanations; interpretability; feature selecti…
2494	Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation Authors: Itamar Zimerman; Ameen Ali Ali; Lior Wolf Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainability; Interpretability; Gated-Linear RNNs; Attention-free; Mamba
2495	Explanations of GNN on Evolving Graphs via Axiomatic Layer edges Authors: Yazheng Liu; Sihong Xie Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: explainability; dynamic graphs; message flows; layeredges
2496	F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Authors: Xu Zheng; Farhad Shirani; Zhuomin Chen; Chaohao Lin; Wei Cheng; Wenbo Guo; Dongsheng Luo Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainable AI; Evaluation Metric; Computer Vision
2497	Factor Graph-based Interpretable Neural Networks Authors: Yicong Li; Kuanjiu Zhou; Shuo Yu; Qiang Zhang; Renqiang Luo; Xiaodong Li; Feng Xia Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretable neural network; factor graph; perturbation; explanation rectification; graph learning
2498	Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Authors: Seung Hyun Cheon; Anneke Wernerfelt; Sorelle Friedler; Berk Ustun Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: explainability; feature attribution; algorithmic recourse; regulation
2499	Forking Paths in Neural Text Generation Authors: Eric J Bigelow; Ari Holtzman; Hidenori Tanaka; Tomer Ullman Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Models; Uncertainty Estimation; Interpretability
2500	From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks Authors: Jie Yang; Yuwen Wang; Kaixuan Chen; Tongya Zheng; Yihe Zhou; Zhenbang Xiao; Ji Cao; Mingli Song; Shunyu Liu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Graph Neural Networks; Multi-Granular Interpretability; Graph Classification
2501	From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering Authors: Nathaniel Weir; Bhavana Dalvi Mishra; Orion Weller; Oyvind Tafjord; Sam Hornstein; Alexander Sabol; Peter Jansen; Benjamin Van Durme; Peter Clark Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: microtheory; textual entailment; knowledge representation; natural language reasoning; text retrieval; automatic knowledge base construction
2502	From Tokens to Lattices: Emergent Lattice Structures in Language Models Authors: Bo Xiong; Steffen Staab Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Masked Language Models; Formal Concept Analysis; Interpretability
2503	From Tokens to Words: On the Inner Lexicon of LLMs Authors: Guy Kaplan; Matanel Oren; Yuval Reif; Roy Schwartz Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Detokenization; Large Language Models; LLM; Byte-Pair Encoding; BPE; Subword Tokens; Word Reconstruction; Latent Lexicon; Inner Dictionary; Token Aggregation;…
2504	GMValuator: Similarity-based Data Valuation for Generative Models Authors: Jiaxi Yang; Wenlong Deng; Benlin Liu; Yangsibo Huang; James Zou; Xiaoxiao Li Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Generative Model; Data Valuation
2505	Generating Likely Counterfactuals Using Sum-Product Networks Authors: Jiří Němeček; Tomáš Pevný; Jakub Marecek Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: counterfactual explanations; mixed-integer optimization; sum-product networks
2506	Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers Authors: Shaobo Wang; Hongxuan Tang; Mingyang Wang; Hongrui Zhang; Xuyang Liu; Weiya Li; Xuming Hu; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Transformers; Interpretability; Efficient-AI; Shapley Value
2507	HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Authors: Muxi Chen; Chenchen Zhao; Qiang Xu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: slice discovery; interpretable error analysis; multimodal; robustness; model debug
2508	How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations Authors: Siddhartha Gairola; Moritz Böhle; Francesco Locatello; Bernt Schiele Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Explainable AI; Representation Learning; Pre-training
2509	HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks Authors: Jiuding Sun; Jing Huang; Sidharth Baskaran; Karel D'Oosterlinck; Christopher Potts; Michael Sklar; Atticus Geiger Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; causal abstraction; hypernetwork
2510	Improving Instruction-Following in Language Models through Activation Steering Authors: Alessandro Stolfo; Vidhisha Balachandran; Safoora Yousefi; Eric Horvitz; Besmira Nushi Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Mechanistic Interpretability; Instruction-following; Activation Steering; LLMs
2511	Input Space Mode Connectivity in Deep Neural Networks Authors: Jakub Vrabel; Ori Shem-Ur; Yaron Oz; David Krueger Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mode connectivity; input space; deep learning; adversarial detection; interpretability; percolation theory
2512	InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly Authors: James Enouen; Yan Liu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: additive models; GAM; SHAP; Shapley
2513	Interpreting Language Reward Models via Contrastive Explanations Authors: Junqi Jiang; Tom Bewley; Saumitra Mishra; Freddy Lecue; Manuela Veloso Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainable AI; Interpretability; Contrastive Explanations; Counterfactual Explanations; Alignment; Large Language Model
2514	Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations Authors: Nicholas Jiang; Anish Kachinthaya; Suzanne Petryk; Yossi Gandelsman Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Vision language models; hallucinations; logit lens; interpretability
2515	Interpreting the Second-Order Effects of Neurons in CLIP Authors: Yossi Gandelsman; Alexei A Efros; Jacob Steinhardt Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: CLIP; neurons; interpretability
2516	Intrinsic User-Centric Interpretability through Global Mixture of Experts Authors: Vinitra Swamy; Syrielle Montariol; Julian Blackwell; Jibril Frej; Martin Jaggi; Tanja Käser Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; human-centric computing; mixture-of-experts
2517	Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness Authors: Baolong Bi; Shenghua Liu; Yiwei Wang; Lingrui Mei; Junfeng Fang; Hongcheng Gao; Shiyu Ni; Xueqi Cheng Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Models; In-Context Faithfulness; Factuality Enhancement
2518	LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning Authors: Zhuorui Ye; Stephanie Milani; Geoffrey J. Gordon; Fei Fang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Reinforcement Learning; Explainable Reinforcement Learning; Concept Bottleneck Models; Concept-based Explainability; Interpretability; XRL; Interpretable Reinf…
2519	LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations Authors: Hadas Orgad; Michael Toker; Zorik Gekhman; Roi Reichart; Idan Szpektor; Hadas Kotek; Yonatan Belinkov Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: hallucinations; truthfulness; interpretability; probing; LLM
2520	Large Language Models are Interpretable Learners Authors: Ruochen Wang; Si Si; Felix Yu; Dorothea Wiesmann Rothuizen; Cho-Jui Hsieh; Inderjit S Dhillon Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Explainable AI; LLMs; VLMs; MLLMs; Symbolic Learning; Prompting
2521	Learning Color Equivariant Representations Authors: Yulong Yang; Felix O'Mahony; Christine Allen-Blanchette Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Equivariant Neural Network; Geometric Deep Learning; Group Convolution
2522	Lines of Thought in Large Language Models Authors: Raphaël Sarfati; Toni J.B. Liu; Nicolas Boulle; Christopher Earls Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: LLM; latent space; token trajectories; interpretability; transformer
2523	Logic-Logit: A Logic-Based Approach to Choice Modeling Authors: Shuhan Zhang; Wendi Ren; Shuang Li Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Choice Model; Preference Learning; Interpretability; Rule Learning
2524	Look Before You Leap: Universal Emergent Mechanism for Retrieval in Language Models Authors: Alexandre Variengien; Eric Winsor Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; LLM; Universality
2525	LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision Authors: Mateusz Pach; Koryna Lewandowska; Jacek Tabor; Bartosz Michał Zieliński; Dawid Damian Rymarczyk Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: xai; interpretability; prototypical parts
2526	MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation Authors: Zhaoning Yu; Hongyang Gao Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Model-level explanation; Graph Neural Networks; Motif
2527	Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers Authors: Tiberiu Mușat Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; large language models; transformers; emergent abilities; curriculum learning; reasoning
2528	Mechanistic Permutability: Match Features Across Layers Authors: Nikita Balagansky; Ian Maksimov; Daniil Gavrilov Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; LLM features; SAE
2529	Metric-Driven Attributions for Vision Transformers Authors: Chase Walker; Sumit Kumar Jha; Rickard Ewetz Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretable and Explainable AI; Computer Vision; Vision Transformer
2530	Monet: Mixture of Monosemantic Experts for Transformers Authors: Jungwoo Park; Ahn Young Jin; Kee-Eung Kim; Jaewoo Kang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: large language models; mechanistic interpretability; monosemanticity; mixture of experts; knowledge unlearning
2531	Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability Authors: Zhiyu Zhu; Zhibo Jin; Jiayu Zhang; NAN YANG; Jiahao Huang; Jianlong Zhou; Fang Chen Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; CLIP
2532	Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Authors: Frederik Pahde; Maximilian Dreyer; Moritz Weckbecker; Leander Weber; Christopher J. Anders; Thomas Wiegand; Wojciech Samek; Sebastian Lapuschkin Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainable AI; Concept-based Explanations; Concept Activation Vectors
2533	NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions Authors: Tue Minh Cao; Nhat Hoang-Xuan; Hieu Pham; Phi Le Nguyen; My T. Thai Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainable AI; Functional Interactions; Critical Neurons; Concept Circuits
2534	Neural Causal Graph for Interpretable and Intervenable Classification Authors: Jiawei Wang; Shaofei Lu; Da Cao; Dongyu Wang; Yuquan Le; Zhe Quan; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Causal Inference; Graph Neural Network; Classification
2535	Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks Authors: Runpeng Yu; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Neural Phylogeny; Finetuning
2536	Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models Authors: Xiongye Xiao; Heng Ping; Chenyu Zhou; Defu Cao; Yaxing Li; Yi-Zhuo Zhou; Shixuan Li; Nikos Kanakaris; Paul Bogdan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Emergent Ability; Large Language Models (LLMs); Multifractal Analysis
2537	Not All Language Model Features Are One-Dimensionally Linear Authors: Joshua Engels; Eric J Michaud; Isaac Liao; Wes Gurnee; Max Tegmark Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Learned Representations; Dictionary Learning; Sparse Autoencoders; Features; Circuits
2538	On Linear Representations and Pretraining Data Frequency in Language Models Authors: Jack Merullo; Noah A. Smith; Sarah Wiegreffe; Yanai Elazar Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: pretraining data; pretraining; linear; linear features; interpretability; linear representations; corpus frequency
2539	PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks Authors: Nicolas Yax; Pierre-Yves Oudeyer; Stefano Palminteri Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: large language models; phylogeny; benchmark
2540	Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process Authors: Tian Ye; Zicheng Xu; Yuanzhi Li; Zeyuan Allen-Zhu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: linear probing; language model; grade math problems; logic following; reasoning
2541	Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems Authors: Tian Ye; Zicheng Xu; Yuanzhi Li; Zeyuan Allen-Zhu Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: pretraining; language model; error correction; error detection
2542	PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs Authors: Oskar van der Wal; Pietro Lesci; Max Müller-Eberstein; Naomi Saphra; Hailey Schoelkopf; Willem Zuidema; Stella Biderman Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: language models; training dynamics; interpretability; memorization; robustness; training stability
2543	Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs Authors: Haowen Pan; Xiaozhi Wang; Yixin Cao; Zenglin Shi; Xun Yang; Juanzi Li; Meng Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Models; Transformers; Model Editing; Neural Networks; Neuron Activation
2544	QPM: Discrete Optimization for Globally Interpretable Image Classification Authors: Thomas Norrenbrock; Timo Kaiser; Sovan Biswas; Ramesh Manuvinakurike; Bodo Rosenhahn Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: explainable AI; Global Interpretability; Sparse Representations; Compactness; Local Interpretability; Image Classification; Discrete Optimization
2545	RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank Authors: Tanya Chowdhury; Yair Zick; James Allan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Feature attributions; Shapley values; Information Retrieval; Passage Reranking
2546	Representational Similarity via Interpretable Visual Concepts Authors: Neehar Kondapaneni; Oisin Mac Aodha; Pietro Perona Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: representational alignment; representational similarity; explainability; interpretability; comparison
2547	Residual Stream Analysis with Multi-Layer SAEs Authors: Tim Lawson; Lucy Farnik; Conor Houghton; Laurence Aitchison Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: sparse autoencoders; mechanistic interpretability; language models
2548	Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Authors: Jayneel Parekh; Quentin Bouniot; Pavlo Mozharovskyi; Alasdair Newson; Florence d'Alché-Buc Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: explainability; generative models; concepts
2549	Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words Authors: Gouki Minegishi; Hiroki Furuta; Yusuke Iwasawa; Yutaka Matsuo Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Sparse Autoencoder; Mechanistic Interpretability; Polysemantic Representation.
2550	Rethinking Shapley Value for Negative Interactions in Non-convex Games Authors: Wonjoon Chang; Myeongjin Lee; Jaesik Choi Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Shapley value; Interaction; Feature Attribution; Interpretability
2551	Rethinking Visual Counterfactual Explanations Through Region Constraint Authors: Bartlomiej Sobieski; Jakub Grzywaczewski; Bartłomiej Sadlej; Matthew Tivnan; Przemyslaw Biecek Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: visual; counterfactual; explanations; diffusion; generative; explainable
2552	Revealing and Mitigating Over-Attention in Knowledge Editing Authors: Pinzheng Wang; Zecheng Tang; Keyan Zhou; Juntao Li; Qiaoming Zhu; Min Zhang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: model editing; mechanistic interpretability; NLP; language models
2553	Revisiting In-context Learning Inference Circuit in Large Language Models Authors: Hakaze Cho; Mariko Kato; Yoshihiro Sakai; Naoya Inoue Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: In-context Learning; Induction Circuit; Mechanistic Interpretability
2554	Revisiting Mode Connectivity in Neural Networks with Bezier Surface Authors: Jie Ren; Pin-Yu Chen; Ren Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mode connectivity; Bézier surfaces; loss landscape; deep learning
2555	Robust LLM safeguarding via refusal feature adversarial training Authors: Lei Yu; Virginie Do; Karen Hambardzumyan; Nicola Cancedda Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: large language models; adversarial robustness; representation analysis; mechanistic interpretability
2556	RuAG: Learned-rule-augmented Generation for Large Language Models Authors: Yudi Zhang; Pei Xiao; Lu Wang; Chaoyun Zhang; Meng Fang; Yali Du; Yevgeniy Puzyrev; Randolph Yao; Si Qin; Qingwei Lin; Mykola Pechenizkiy; Dongmei Zhang; Saravan Rajmohan; Qi Zhang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large language model; Logic Rule Learning; Monte Carlo Tree Search
2557	Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification Authors: Mehdi Naouar; Hanne Raum; Jens Rahnfeld; Yannick Vogt; Joschka Boedecker; Gabriel Kalweit; Maria Kalweit Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Explainability; XAI; feature attribution
2558	Scalable Influence and Fact Tracing for Large Language Model Pretraining Authors: Tyler A. Chang; Dheeraj Rajagopal; Tolga Bolukbasi; Lucas Dixon; Ian Tenney Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: training data attribution; LLM pretraining; influence functions; factual knowledge
2559	Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens Authors: Stanislav Fort Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: adversarial attacks; language models; scaling laws; activation steering
2560	Shedding Light on Time Series Classification using Interpretability Gated Networks Authors: Yunshi Wen; Tengfei Ma; Ronny Luss; Debarun Bhattacharjya; Achille Fokoue; Anak Agung Julius Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Time-series; Shapelet
2561	Sparse Autoencoders Do Not Find Canonical Units of Analysis Authors: Patrick Leask; Bart Bussmann; Michael T Pearce; Joseph Isaac Bloom; Curt Tigges; Noura Al Moubayed; Lee Sharkey; Neel Nanda Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: sparse autoencoders; mechanistic interpretability
2562	Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models Authors: Can Demircan; Tankred Saanum; Akshay Kumar Jagadish; Marcel Binz; Eric Schulz Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: reinforcement learning; in-context learning; representation learning; sparse autoencoders (SAEs); large language models (LLMs)
2563	Sparse autoencoders reveal selective remapping of visual concepts during adaptation Authors: Hyesu Lim; Jinho Choi; Jaegul Choo; Steffen Schneider Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; vision-language models; sparse autoencoder; adaptation
2564	Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods Authors: Buelent Uendes; Shujian Yu; Mark Hoogendoorn Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: XAI; mask-based explanations; rate-distortion explanation; information bottleneck
2565	Swing-by Dynamics in Concept Learning and Compositional Generalization Authors: Yongyi Yang; Core Francisco Park; Ekdeep Singh Lubana; Maya Okawa; Wei Hu; Hidenori Tanaka Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: compositional generalization; concept learning; learning dynamics; out of distribution generalization
2566	Systematic Outliers in Large Language Models Authors: Yongqi An; Xu Zhao; Tao Yu; Ming Tang; Jinqiao Wang Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Model Interpretability; Large Language Models; Outliers; Attention Mechanism
2567	The Same but Different: Structural Similarities and Differences in Multilingual Language Modeling Authors: Ruochen Zhang; Qinan Yu; Matianyu Zang; Carsten Eickhoff; Ellie Pavlick Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: multilinguality; interpretability
2568	The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities Authors: Zhaofeng Wu; Xinyan Velocity Yu; Dani Yogatama; Jiasen Lu; Yoon Kim Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: interpretability; representation; multilingual; multimodal
2569	Towards Interpreting Visual Information Processing in Vision-Language Models Authors: Clement Neo; Luke Ong; Philip Torr; Mor Geva; David Krueger; Fazl Barez Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Interpretability; Vision-Language Model; Mechanistic Interpretability; Multimodal
2570	Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control Authors: Aleksandar Makelov; Georg Lange; Neel Nanda Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: mechanistic interpretability; sparse autoencoders; evaluations
2571	Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation Authors: Tengfei Ma; Xiang song; Wen Tao; Mufei Li; Jiani Zhang; Xiaoqin Pan; Yijun Wang; Bosheng Song; xiangxiang Zeng Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Knowledge Graph Completion; Model Explainability; Knowledge Graph Embedding; Link Prediction
2572	Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures Authors: Junxuan Wang; Xuyang Ge; Wentao Shu; Qiong Tang; 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: Mechanistic Interpretability; Sparse Autoencoders; Universality; State Space Models
2573	Transformer Block Coupling and its Correlation with Generalization in LLMs Authors: Murdock Aubry; Haoming Meng; Anton Sugolov; Vardan Papyan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: large language models; transformers; hidden representations
2574	Transformer Encoder Satisfiability: Complexity and Impact on Formal Reasoning Authors: Marco Sälzer; Eric Alsmann; Martin Lange Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: transformer; formal reasoning; complexity
2575	Transformers Learn Low Sensitivity Functions: Investigations and Implications Authors: Bhavya Vasudeva; Deqing Fu; Tianyi Zhou; Elliott Kau; Youqi Huang; Vatsal Sharan Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: transformers; sensitivity; grokking
2576	Transformers Struggle to Learn to Search Authors: Abulhair Saparov; Srushti Ajay Pawar; Shreyas Pimpalgaonkar; Nitish Joshi; Richard Yuanzhe Pang; Vishakh Padmakumar; Mehran Kazemi; Najoung Kim; He He Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: search; reasoning; transformers; scaling laws; mechanistic interpretability; circuit analysis
2577	Unified Parameter-Efficient Unlearning for LLMs Authors: Chenlu Ding; Jiancan Wu; Yancheng Yuan; Jinda Lu; Kai Zhang; Alex Su; Xiang Wang; Xiangnan He Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Large Language Model Unlearning; Machine Unlearning; Influence Function
2578	What's New in My Data? Novelty Exploration via Contrastive Generation Authors: Masaru Isonuma; Ivan Titov Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: dataset exploration; novelty detection; contrastive decoding
2579	Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers Authors: Omer Sahin Tas; Royden Wagner Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: control vectors; activation steering; sparse autoencoders; neural collapse; mechanistic interpretability; motion forecasting
2580	Zero-Shot Natural Language Explanations Authors: Fawaz Sammani; Nikos Deligiannis Affiliation: 官方页面未列出 Official area / track: interpretability and explainable AI Recognition: Poster/Regular Keywords: Natural Language Explanations; interpretability; explainability
2581	A Large-scale Training Paradigm for Graph Generative Models Authors: Yu Wang; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Large-scale Training; Graph Generative Model; Diffusion model
2582	Accelerating Training with Neuron Interaction and Nowcasting Networks Authors: Boris Knyazev; Abhinav Moudgil; Guillaume Lajoie; Eugene Belilovsky; Simon Lacoste-Julien Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: accelerated optimization; parameter prediction; graphs; transformers; learning to optimize
2583	Accurate and Scalable Graph Neural Networks via Message Invariance Authors: Zhihao Shi; Jie Wang; Zhiwei Zhuang; Xize Liang; Bin Li; Feng Wu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Subgraph Sampling; Graph Neural Networks; Topological Compensation; Message Invariance
2584	AutoG: Towards automatic graph construction from tabular data Authors: Zhikai Chen; Han Xie; Jian Zhang; Xiang song; Jiliang Tang; Huzefa Rangwala; George Karypis 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; Automatic data science; Applications of large language models; Tabular data
2585	BANGS: Game-theoretic Node Selection for Graph Self-Training Authors: Fangxin Wang; Kay Liu; Sourav Medya; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Semi-supervised Learning; Graph Self-training; Game Theory Application
2586	Balanced Ranking with Relative Centrality: A multi-core periphery perspective Authors: Chandra Sekhar Mukherjee; Jiapeng Zhang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Ranking algorithms; community structure; clustering; balanced ranking; centrality measures
2587	Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing Authors: Peter Lippmann; Gerrit Gerhartz; Roman Remme; Fred A. Hamprecht Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: equivariance; message passing; tensor representation; local frames; geometric deep learning
2588	Beyond Random Masking: When Dropout meets Graph Convolutional Networks Authors: Yuankai Luo; Xiao-Ming Wu; Hao Zhu 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; Dropout
2589	Biologically Plausible Brain Graph Transformer Authors: Ciyuan Peng; Yuelong Huang; Qichao Dong; Shuo Yu; Feng Xia; Chengqi Zhang; Yaochu Jin Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: brain; graph learning; transformer; graph representation; brain networks
2590	Bonsai: Gradient-free Graph Condensation for Node Classification Authors: Mridul Gupta; Samyak Jain; Vansh Ramani; HARIPRASAD KODAMANA; Sayan Ranu 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; Machine Learning; Data Distillation; Graph Distillation; Dataset Distillation; Sustainable AI; Graph Condensation; Data Condensation; Da…
2591	BrainOOD: Out-of-distribution Generalizable Brain Network Analysis Authors: Jiaxing Xu; Yongqiang Chen; Xia Dong; Mengcheng Lan; Tiancheng HUANG; Qingtian Bian; James Cheng; Yiping Ke Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Out-of-distribution Generalization; Brain Network Analysis; Graph Representation Learning
2592	Centrality-guided Pre-training for Graph Authors: Bin Liang; Shiwei Chen; Lin Gui; Hui Wang; Yue Yu; Ruifeng Xu; Kam-Fai Wong 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 representation; Graph pre-training; Graph centrality
2593	Charting the Design Space of Neural Graph Representations for Subgraph Matching Authors: Vaibhav Raj; Indradyumna Roy; Ashwin Ramachandran; Soumen Chakrabarti; Abir De Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Retrieval; Graph Neural Networks; Subgraph Matching
2594	Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment Authors: Haoyuan WU; Haisheng Zheng; Yuan Pu; Bei Yu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: circuit representation learning; masked graph modeling; large language models; multimodal alignment
2595	Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations Authors: Indradyumna Roy; Eeshaan Jain; Soumen Chakrabarti; Abir De 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; distant supervision
2596	ContextGNN: Beyond Two-Tower Recommendation Systems Authors: Yiwen Yuan; Zecheng Zhang; Xinwei He; Akihiro Nitta; Weihua Hu; Manan Shah; Blaž Stojanovič; Shenyang Huang; Jan Eric Lenssen; Jure Leskovec; Matthias Fey 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; recommendation; relational deep learning
2597	Coreset Spectral Clustering Authors: Ben Jourdan; Gregory Schwartzman; Peter Macgregor; He Sun Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: spectral clustering; kernel k-means; coresets
2598	DUALFormer: Dual Graph Transformer Authors: Jiaming Zhuo; Yuwei Liu; Yintong Lu; Ziyi Ma; Kun Fu; Chuan Wang; Yuanfang Guo; Zhen Wang; Xiaochun Cao; Liang Yang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Transformers; Node Classification
2599	Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Authors: Yuhan Chen; Yihong Luo; Yifan Song; Pengwen Dai; Jing Tang; Xiaochun Cao Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Node OOD detection; Energy-based Models; Graph Neural Network
2600	Decoupled Subgraph Federated Learning Authors: Javad Aliakbari; Johan Östman; Alexandre Graell i Amat Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Federated Learning; Subgraph Federated Learning; Inter-Connected Graphs; GNN; Decoupled GCN
2601	DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Authors: Ziyang Zheng; Shan Huang; Jianyuan Zhong; Zhengyuan Shi; Guohao Dai; Ningyi Xu; Qiang Xu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: circuit representation learning; graph transformer
2602	Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing Authors: Diaaeldin Taha; James Chapman; Marzieh Eidi; Karel Devriendt; Guido Montufar 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; oversquashing; rewiring; relational graph neural networks; simplicial complexes; relational structures
2603	DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Authors: Jinghan Li; Yuan Gao; Jinda Lu; Junfeng Fang; Congcong Wen; Hui Lin; Xiang Wang 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; Diffusion Models
2604	Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Authors: Lequan Lin; Dai Shi; Andi Han; Zhiyong Wang; Junbin Gao 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; generative diffusion models; network generation; hyperparameter tuning; node classification; link prediction
2605	E(n) Equivariant Topological Neural Networks Authors: Claudio Battiloro; Ege Karaismailoglu; Mauricio Tec; George Dasoulas; Michelle Audirac; Francesca Dominici 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; Equivariance; Equivariant Neural Networks; Geometric Deep Learning; Geospatial data; Air Pollution Prediction; Molecular Property Pr…
2606	Edge Prompt Tuning for Graph Neural Networks Authors: Xingbo Fu; Yinhan He; Jundong Li 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; Prompt Learning
2607	Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets Authors: Xu Wang; Fuyou Miao; Wenjie Liu; Yan Xiong Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Wasserstein-Based Metric; Coreset; Data compression
2608	Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models Authors: Najwa Laabid; Severi Rissanen; Markus Heinonen; Arno Solin; Vikas Garg Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Diffusion; Discrete Diffusion; Equivariance; Symmetries
2609	Fast unsupervised ground metric learning with tree-Wasserstein distance Authors: Kira Michaela Düsterwald; Samo Hromadka; Makoto Yamada Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: unsupervised learning; optimal transport; distance-based learning; clustering; trees; wasserstein distance
2610	Fitting Networks with a Cancellation Trick Authors: Jiashun Jin; Jingming Wang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Network analysis; DCBM; logit-DCBM; community detection; SCORE
2611	Fourier Sliced-Wasserstein Embedding for Multisets and Measures Authors: Tal Amir; Nadav Dym Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Sliced Wasserstein distance; Euclidean embedding; multiset embedding; bi-Lipschitz; permutation invariant
2612	Fully-inductive Node Classification on Arbitrary Graphs Authors: Jianan Zhao; Zhaocheng Zhu; Mikhail Galkin; Hesham Mostafa; Michael M. Bronstein; Jian Tang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: node classification; inductive generalization
2613	GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs Authors: Dongzhuoran Zhou; Evgeny Kharlamov; Egor V. Kostylev Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Learning; Graph Neural Networks; Synthetic Benchmarks; Long-Range Dependencies
2614	GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring Authors: Celia Rubio-Madrigal; Adarsh Jamadandi; Rebekka Burkholz 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; over-squashing; graph rewiring; community structure; homophily; feature similarity
2615	GOFA: A Generative One-For-All Model for Joint Graph Language Modeling Authors: Lecheng Kong; Jiarui Feng; Hao Liu; Chengsong Huang; Jiaxin Huang; Yixin Chen; Muhan Zhang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: GNN; Graph foundation model; LLM
2616	GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning Authors: Zulfikar Alom; Tran Gia Bao Ngo; Murat Kantarcioglu; Cuneyt Gurcan Akcora Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graphlet; orbit; adversarial machine learning; graph mining; graph convolutional networks; semi-supervised learning
2617	Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs Authors: Levi Rauchwerger; Stefanie Jegelka; Ron Levie 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; Graphon Neural Networks; Machine Learning Theory; 1-WL test for Graphons; Generalization; Expressivity; Universal Approximation; Wassers…
2618	Generalizing Weisfeiler-Lehman Kernels to Subgraphs Authors: Dongkwan Kim; Alice Oh 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 Kernels; Subgraphs
2619	Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Authors: Yushun Dong; Patrick Soga; Yinhan He; Song Wang; Jundong Li 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; Spectral Graph Theory; Graph Signal Filtering
2620	Graph Neural Networks Gone Hogwild Authors: Olga Solodova; Nick Richardson; Deniz Oktay; Ryan P Adams 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; multi-agent; asynchronous; decentralized
2621	Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Authors: Dominik Fuchsgruber; Tim Postuvan; Stephan Günnemann; Simon Geisler 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; Edge; Equivariance; Invariance; Topology; Directed Graphs
2622	Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective Authors: Jialong Chen; Bowen Deng; Zhen WANG; Chuan Chen; Zibin Zheng 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; Differential equation; Curvature; Ricci flow
2623	Graph Transformers Dream of Electric Flow Authors: Xiang Cheng; Lawrence Carin; Suvrit Sra Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Transformer; Graph Neural Network
2624	GraphArena: Evaluating and Exploring Large Language Models on Graph Computation Authors: Jianheng Tang; Qifan Zhang; Yuhan Li; Nuo Chen; Jia Li Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Large Language Model Evaluation; Graph Algorithms
2625	GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation Authors: Tao Feng; Yihang Sun; Jiaxuan You Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Idea Evaluation; View-graph; Lightweight model; Label propagation; Graph prediction
2626	GraphRouter: A Graph-based Router for LLM Selections Authors: Tao Feng; Yanzhen Shen; Jiaxuan You Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: LLM selection; Graph-based router; Contextual interactions; New LLM settings
2627	Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention Authors: Tongzhou Liao; Barnabas Poczos 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 encoding; graph rewiring; attention mechanism
2628	Grounding Continuous Representations in Geometry: Equivariant Neural Fields Authors: David Wessels; David M Knigge; Riccardo Valperga; Samuele Papa; Sharvaree Vadgama; Efstratios Gavves; Erik J Bekkers 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; Neural Fields; Equivariance; Representation Learning; Latent Point Clouds
2629	Gyrogroup Batch Normalization 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: Gyrovector Spaces; Riemannian Manifolds; Riemannian Batch Normalization; Grassmannian Manifolds; Hyperbolic Manifolds
2630	Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings Authors: Beatrice Bevilacqua; Joshua Robinson; Jure Leskovec; Bruno Ribeiro Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: GNN; symmetries; pretraining
2631	Homomorphism Counts as Structural Encodings for Graph Learning Authors: Linus Bao; Emily Jin; Michael M. Bronstein; Ismail Ilkan Ceylan; Matthias Lanzinger Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: graph transformers; structural encodings; homomorphism counts; expressivity
2632	How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings Authors: Nikolaos Nakis; Niels Raunkjær Holm; Andreas Lyhne Fiehn; Morten Mørup Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Exact network embedding; latent distance model; logistic PCA; large scale network modeling
2633	HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction Authors: Weihuang Wen; Tianshu Yu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: hypergraph; graph generation; clique cover problem
2634	INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph Authors: Ningyuan Li; Haihong E; Tianyu Yao; Tianyi Hu; Yuhan Li; Haoran Luo; Meina Song; Yifan Zhu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Knowledge Graph; Temporal Knowledge Graph; Temporal Rules; Temporal Validity
2635	Improving Equivariant Networks with Probabilistic Symmetry Breaking Authors: Hannah Lawrence; Vasco Portilheiro; Yan Zhang; Sékou-Oumar Kaba Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: equivariance; symmetry; symmetry-breaking; canonicalization; graphs; GNNs
2636	Improving Graph Neural Networks by Learning Continuous Edge Directions Authors: Seong Ho Pahng; Sahand Hormoz 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; Directed Graphs; Graph Laplacian; Continuous Edge Directions; Graph Ensemble Data
2637	Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs Authors: Sammy Khalife; Josué Tonelli-Cueto 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; Expressivity; Efficiency; Activation Function; Queries; Logic
2638	KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Authors: Taoran Fang; Tianhong Gao; Chunping Wang; YihaoShang; Wei Chow; Lei CHEN; Yang Yang 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; Attentive Graph Neural Networks
2639	Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion Authors: Dexuan Ding; Lei Wang; Liyun Zhu; Tom Gedeon; Piotr Koniusz Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: feature fusion; video anomaly detection; graph learning; multi-modal learning
2640	Learning Efficient Positional Encodings with Graph Neural Networks Authors: Charilaos Kanatsoulis; Evelyn Choi; Stefanie Jegelka; Jure Leskovec; Alejandro Ribeiro Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: positional encodings; graph neural networks; graph transformers
2641	Learning Graph Invariance by Harnessing Spuriosity Authors: Tianjun Yao; Yongqiang Chen; Kai Hu; Tongliang Liu; Kun Zhang; Zhiqiang Shen Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Out-of-Distribution Generalization; Invariant Learning; Graph Neural Networks
2642	Learning Graph Quantized Tokenizers Authors: Limei Wang; Kaveh Hassani; Si Zhang; Dongqi Fu; Baichuan Yuan; Weilin Cong; Zhigang Hua; Hao Wu; Ning Yao; Bo Long Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Learning; Graph Tokenization; Graph Transformer
2643	Learning Long Range Dependencies on Graphs via Random Walks Authors: Dexiong Chen; 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 neural networks; Graph transformers; Random walks; Long-range dependencies
2644	Learning Partial Graph Matching via Optimal Partial Transport Authors: Gathika Ratnayaka; James Nichols; Qing Wang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Matching; Optimal Transport
2645	Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting Authors: Yilun Zheng; Xiang Li; Sitao Luan; Xiaojiang Peng; Lihui 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 Networks; Graph Homophily; Topological Feature Selection
2646	Linear Transformer Topological Masking with Graph Random Features Authors: Isaac Reid; Kumar Avinava Dubey; Deepali Jain; William F Whitney; Amr Ahmed; Joshua Ainslie; Alex Bewley; Mithun George Jacob; Aranyak Mehta; David Rendleman; Connor Schenck; Rich… Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: transformer; linear; attention; graph; random walk; Monte Carlo; encoding; topological masking; point cloud; Performer
2647	MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks Authors: Carlo Abate; Filippo Maria Bianchi 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 pooling; graph coarsening; maxcut
2648	Multi-Label Node Classification with Label Influence Propagation Authors: Yifei Sun; Zemin Liu; Bryan Hooi; Yang Yang; Rizal Fathony; Jia Chen; Bingsheng He 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; multi-label; node classification
2649	MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy Authors: Haitian Jiang; Renjie Liu; Zengfeng Huang; Yichuan Wang; Xiao Yan; Zhenkun Cai; Minjie Wang; David Wipf 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; Energy-based Models; Scalable Training; Bi-level Optimization
2650	N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning Authors: Liping Wang; Xujia Li; Jingshu Peng; Yue Wang; Chen Zhang; Yan Zhou; Lei Chen Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: temporal graph neural networks; continual learning; generalization
2651	Neural Spacetimes for DAG Representation Learning Authors: Haitz Sáez de Ocáriz Borde; Anastasis Kratsios; Marc T. Law; 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: Directed Graphs; Quasi-metrics
2652	Neural networks on Symmetric Spaces of Noncompact Type Authors: Xuan Son Nguyen; Shuo Yang; Aymeric Histace 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; symmetric spaces; hyperbolic spaces; SPD manifolds
2653	Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning Authors: Yuankai Luo; Hongkang Li; Qijiong Liu; Lei Shi; Xiao-Ming 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; Graph Tokenizers; Symbolic Compression; Efficient Graph Learning
2654	Node Similarities under Random Projections: Limits and Pathological Cases Authors: Tvrtko Tadić; Cassiano O Becker; Jennifer Neville Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Johnson–Lindenstrauss Lemma; Random Projections; Graph Embeddings; Ranking; Cosine Similarity
2655	Node-Time Conditional Prompt Learning in Dynamic Graphs Authors: Xingtong Yu; Zhenghao Liu; Xinming Zhang; Yuan Fang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph mining; prompt learning; pre-training; dynamic graph
2656	On the Completeness of Invariant Geometric Deep Learning Models Authors: Zian Li; Xiyuan Wang; Shijia Kang; Muhan Zhang 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; invariant models; completeness; expressiveness; graph neural network; subgraph graph neural network
2657	On the Expressive Power of Sparse Geometric MPNNs Authors: Yonatan Sverdlov; Nadav Dym Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: WL; GWL; GNNS; geometric GNNS; point clouds; completness
2658	Open-Set Graph Anomaly Detection via Normal Structure Regularisation Authors: Qizhou Wang; Guansong Pang; Mahsa Salehi; Xiaokun Xia; Christopher Leckie 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; Outlier Detection; Social Network Analysis; Graph Mining
2659	PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching Authors: Daniel Rose; Oliver Wieder; Thomas Seidel; Thierry Langer Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Contrastive Representation Learning; Neural Subgraph Matching; Virtual Screening; Pharmacophore Modeling
2660	Point-based Instance Completion with Scene Constraints Authors: Wesley Khademi; Fuxin Li Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: instance scene completion; point cloud completion
2661	PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph Authors: Dazhou Yu; Genpei Zhang; Liang Zhao Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: polygon; polyhedron; polygonal representation; representation learning; graph neural networks
2662	Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks Authors: Simon Heilig; Alessio Gravina; Alessandro Trenta; Claudio Gallicchio; Davide Bacciu 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; long-range propagation; ordinary differential equations
2663	Precedence-Constrained Winter Value for Effective Graph Data Valuation Authors: Hongliang Chi; Wei Jin; Charu C. Aggarwal; Yao Ma Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Data Valuation; Graph Learning; Graph neural network
2664	REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS Authors: Yonatan Sverdlov; Ido Springer; Nadav Dym Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: deep weight spaces; permutation equivariance; irredicible representations.
2665	Rationalizing and Augmenting Dynamic Graph Neural Networks Authors: Guibin Zhang; Yiyan Qi; Ziyang Cheng; Yanwei Yue; Dawei Cheng; Jian Guo Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Data Augmentation; Dynamic Graph Neural Networks
2666	Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs Authors: Steve Azzolin; Antonio Longa; Stefano Teso; Andrea Passerini Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Explainability; Trustworthiness; Faithfulness; Self-Explainable GNNs
2667	Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features Authors: Daeho Um; Yoonji Lee; Jiwoong Park; Seulki Park; Yuneil Yeo; Seong Jin Ahn Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: missing features; imputation; heterogeneous graph
2668	Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Authors: Michael Scholkemper; Xinyi Wu; Ali Jadbabaie; Michael T Schaub 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; Normalization; Residual Connections; Oversmoothing
2669	Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features Authors: Feng Ji; Yanan Zhao; Kai Zhao; Hanyang Meng; Jielong Yang; Wee Peng Tay 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; node classification; feature centroid simplex; coarse geometry
2670	ST-GCond: Self-supervised and Transferable Graph Dataset Condensation Authors: Beining Yang; Qingyun Sun; Cheng Ji; Xingcheng Fu; Jianxin Li 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 Dataset Condensation
2671	Scale-Free Graph-Language Models Authors: Jianglin Lu; Yixuan Liu; Yitian Zhang; Yun Fu Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: scale-free network; language models; graph neural networks; k nearest neighbor graph
2672	Separation Power of Equivariant Neural Networks Authors: Marco Pacini; Xiaowen Dong; Bruno Lepri; Gabriele Santin 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; Expressive Power
2673	Shape as Line Segments: Accurate and Flexible Implicit Surface Representation Authors: Siyu Ren; Junhui Hou Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Implicit representation; 3D geometric; surface reconstruction
2674	Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Authors: Hongliang Chi; Qiong Wu; Zhengyi Zhou; Yao Ma Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Graph Learning; Data Valuation; Graph Neural Networks; Data-centric AI
2675	SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels Authors: Xiangyu Dong; Xingyi Zhang; Lei Chen; Mingxuan Yuan; Sibo Wang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Node Anomaly Detection; Graph Neural Network; Multiple Spaces
2676	Spectro-Riemannian Graph Neural Networks Authors: Karish Grover; Haiyang Yu; Xiang song; Qi Zhu; Han Xie; Vassilis N. Ioannidis; Christos Faloutsos 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; Spectral graph theory; Riemannian geometry; Non-Euclidean graph neural networks; Geometric deep learning
2677	Spreading Out-of-Distribution Detection on Graphs Authors: Daeho Um; Jongin Lim; Sunoh Kim; Yuneil Yeo; Yoonho Jung Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: out-of-distribution detection; graph neural networks; benchmark; healthcare
2678	Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion Authors: Harel Mendelman; Ronen Talmon Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Manifold Learning; Diffusion Maps; Supervised dimension reduction; Multi-view learning
2679	Systematic Relational Reasoning With Epistemic Graph Neural Networks Authors: Irtaza Khalid; Steven Schockaert Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Reasoning; Graph Neural Networks; Neuro-Symbolic methods; Systematic Generalization; Compositionality
2680	The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited Authors: Floriano Tori; Vincent Holst; Vincent Ginis 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; Graph Neural Networks; Graph Rewiring; Curvature
2681	TopoGaussian: Inferring Internal Topology Structures from Visual Clues Authors: Xiaoyu Xiong; Changyu Hu; Chunru Lin; Pingchuan Ma; Chuang Gan; Tao Du Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Gaussian Splatting; Differential Simulation; Topology Optimization; Neural Implicit Surface
2682	Towards Bridging Generalization and Expressivity of Graph Neural Networks Authors: Shouheng Li; Floris Geerts; Dongwoo Kim; Qing Wang Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: gnn; expressivity; generalization
2683	Towards Continuous Reuse of Graph Models via Holistic Memory Diversification Authors: Ziyue Qiao; Junren Xiao; Qingqiang Sun; Meng Xiao; Xiao Luo; Hui Xiong Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Incremental learning; Model Reuse; Transfer learning
2684	Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming Authors: Qian Li; Minghui Ouyang; Tian Ding; Yuyi Wang; Qingjiang Shi; Ruoyu Sun Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Learning to optimize; shallow graph neural network; linear programming; distributed algorithm; average-case analysis
2685	Training-Free Message Passing for Learning on Hypergraphs Authors: Bohan Tang; Zexi Liu; Keyue Jiang; Siheng Chen; Xiaowen Dong Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Hypergraphs; Hypergraph Neural Networks; Graph Neural Networks
2686	Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Authors: Ya-Wei Eileen Lin; Ronald R. Coifman; Gal Mishne; Ronen Talmon Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: diffusion geometry; hyperbolic geometry; tree-Wasserstein distance; high-dimensional hyperbolic tree decoding
2687	Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry Authors: Ziheng Chen; Yue Song; Xiaojun Wu; Gaowen Liu; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Global covariance pooling; SPD manifolds; Representation Learning; Riemannian Manifolds
2688	Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Authors: Joshua Southern; Francesco Di Giovanni; Michael M. Bronstein; 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; Message Passing; Virtual Nodes; Oversquashing; Graph Transformers
2689	UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP Authors: Wenzheng Pan; Hao Xiong; Jiale Ma; Wentao Zhao; Yang Li; Junchi Yan Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Travelling Salesman Problem; Neural Combinatorial Optimization
2690	Valid Conformal Prediction for Dynamic GNNs Authors: Ed Davis; Ian Gallagher; Daniel John Lawson; Patrick Rubin-Delanchy 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 machine learning; conformal prediction
2691	What Are Good Positional Encodings for Directed Graphs? Authors: Yinan Huang; Haoyu Peter Wang; Pan Li Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Directed graphs; positional encodings; graph neural networks
2692	When Graph Neural Networks Meet Dynamic Mode Decomposition Authors: Dai Shi; Lequan Lin; Andi Han; Zhiyong Wang; Yi Guo; Junbin Gao Affiliation: 官方页面未列出 Official area / track: learning on graphs and other geometries & topologies Recognition: Poster/Regular Keywords: Dynamic Mode Decomposition; Graph Neural Networks
2693	A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics Authors: Katharina Friedl; Noémie Jaquier; Jens Lundell; Tamim Asfour; Danica Kragic Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: physics-inspired networks; dynamics learning; model-order reduction; Riemannian geometry; deformable objects
2694	Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems Authors: Jindong Tian; Yuxuan Liang; Ronghui Xu; Peng Chen; Chenjuan Guo; Aoying Zhou; Lujia Pan; Zhongwen Rao; Bin Yang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Air Quality Prediction; Physics-guided Deep Learning
2695	Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Authors: Julius Aka; Johannes Brunnemann; Jörg Eiden; Arne Speerforck; Lars Mikelsons Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Neural ODE; VAE; Dynamical Variational Autoencoder; state space models; Koopman theory; surrogate models; B-NODE; Balanced Neural ODE
2696	CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching Authors: Xingjian Wu; Xiangfei Qiu; Zhengyu Li; Yihang Wang; Jilin Hu; Chenjuan Guo; Hui Xiong; Bin Yang 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; Anomaly Detection
2697	CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution Authors: Yunju Cho; Jay-Yoon 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 forecasting; Multi-scale; Semi-supervised learning
2698	Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt Authors: Ryan Missel; Linwei Wang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: continual meta-learning; latent dynamics forecasting; time-series
2699	Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions Authors: Jianxin Zhang; Josh Viktorov; Doosan Jung; Emily Pitler Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: neural stochastic differential equations; Markov process; scoring rule
2700	Efficiently Parameterized Neural Metriplectic Systems Authors: Anthony Gruber; Kookjin Lee; Haksoo Lim; Noseong Park; Nathaniel Trask Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: metriplectic systems; structure preservation; energy conservation; entropy stability; neural ODEs
2701	Error-quantified Conformal Inference for Time Series Authors: Junxi Wu; Dongjian Hu; Yajie Bao; Shu-Tao Xia; Changliang Zou Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series; Uncertainty Quantification; Conformal Prediction; Distribution Shift
2702	Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting Authors: Wei Chen; Yuxuan Liang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Spatio-temporal Graph; Continual Forecasting; Tuning Principle
2703	Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage Authors: Ying-yee Ava Lau; Zhiwen Shao; Dit-Yan Yeung Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: online time series forecasting; concept drift; online learning
2704	Federated Granger Causality Learning For Interdependent Clients With State Space Representation Authors: Ayush Mohanty; Nazal Mohamed; Paritosh Ramanan; Nagi Gebraeel Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: State Space; Federated Learning; Granger Causality; Interdependencies
2705	Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Authors: Marcel Kollovieh; Marten Lienen; David Lüdke; Leo Schwinn; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: flow matching; time series forecasting; generative modeling; deep learning
2706	FreDF: Learning to Forecast in the Frequency Domain Authors: Hao Wang; Lichen Pan; Yuan Shen; Zhichao Chen; Degui Yang; Yifei Yang; Sen Zhang; Xinggao Liu; Haoxuan Li; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time series; Long-term Forecast
2707	From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics Authors: Qinshuo Liu; Weiqin Zhao; Wei Huang; Yanwen Fang; Lequan Yu; Guodong Li Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: deep neural network; sequential model; state space model; statistical model
2708	Identifying latent state transitions in non-linear dynamical systems Authors: Çağlar Hızlı; Çağatay Yıldız; Matthias Bethge; S. T. John; Pekka Marttinen Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: nonlinear ica; identifiability; disentanglement; dynamical systems
2709	In-context Time Series Predictor Authors: Jiecheng Lu; Yan Sun; Shihao 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; In-context Learning; Transformer
2710	InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems Authors: Chuan Liu; Ruibing Song; Chunshu Wu; Pouya Haghi; Tong Geng Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time-Series Prediction; Online Learning; Novel Computing Paradigm
2711	Intelligence at the Edge of Chaos Authors: Shiyang Zhang; Aakash Patel; Syed A Rizvi; Nianchen Liu; Sizhuang He; Amin Karbasi; Emanuele Zappala; David van Dijk 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 (LLMs); Elementary Cellular Automata (ECA); Emergent Intelligence; Complex Systems; Complexity Theory
2712	Investigating Pattern Neurons in Urban Time Series Forecasting Authors: Chengxin Wang; Yiran Zhao; Shaofeng Cai; Gary Tan Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: urban time series forecasting; neuron detection
2713	KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting Authors: Ronghua Zheng; Hanru Bai; Weiyang Ding Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Probabilistic time series prediction; Neural Process; Deep Koopman model
2714	Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data Authors: Phillip Si; Peng Chen Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Data Assimilation; Score Based Models; Diffusion Models; Weather Forecasting
2715	Learning Chaos In A Linear Way Authors: Xiaoyuan Cheng; Yi He; Yiming Yang; Xiao Xue; Sibo Cheng; Daniel Giles; Xiaohang Tang; Yukun Hu Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Dynamical systems; operator learning; chaos; physics-informed learning
2716	Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Authors: Manuel Brenner; Elias Weber; Georgia Koppe; 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; hierarchical modelling; time series; interpretability; Nonlinear Dynamics; foundation models
2717	Learning Successor Features with Distributed Hebbian Temporal Memory Authors: Evgenii Aleksandrovich Dzhivelikian; Petr Kuderov; Aleksandr Panov Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: temporal memory; successor features; online learning; Hebbian learning
2718	Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test Authors: Akinori F. Ebihara; Taiki Miyagawa; Kazuyuki Sakurai; Hitoshi Imaoka Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Early Classification of Time Series; Sequential Probability Ratio Test
2719	Learning under Temporal Label Noise Authors: Sujay Nagaraj; Walter Gerych; Sana Tonekaboni; Anna Goldenberg; Berk Ustun; Thomas Hartvigsen Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: label noise; time series; healthcare; classification
2720	Locally Connected Echo State Networks for Time Series Forecasting Authors: Filip Matzner; František Mráz 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 Forecasting; TSF; Recurrent Neural Networks; RNN; Regression; Echo State Networks; ESN
2721	Long-Context Linear System Identification Authors: Oğuz Kaan Yüksel; Mathieu Even; Nicolas Flammarion Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: autoregressive; linear; statistics; low rank; mispecification
2722	Neural Context Flows for Meta-Learning of Dynamical Systems Authors: Roussel Desmond Nzoyem; 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: meta-learning; OOD generalisation; physical sciences; neural ODEs
2723	Neural Functions for Learning Periodic Signal Authors: Woojin Cho; Minju Jo; Kookjin Lee; Noseong Park Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Periodicity; Neural function
2724	Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics Authors: Zaige Fei; Fan Xu; Junyuan Mao; Yuxuan Liang; Qingsong Wen; Kun Wang; Hao Wu; Yang Wang Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Fire Dynamics; Spatio-temporal Data Mining; Fluid Modeling
2725	Optimal Transport for Time Series Imputation Authors: Hao Wang; zhengnan li; Haoxuan Li; Xu Chen; Mingming Gong; BinChen; Zhichao 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; Imputation
2726	PPT: Patch Order Do Matters In Time Series Pretext Task Authors: Jaeho Kim; Kwangryeol Park; Sukmin Yun; Seulki 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 Classification; Self-Supervised Learning; Pretext Task
2727	Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains Authors: Razmik Arman Khosrovian; Takaharu Yaguchi; Hiroaki Yoshimura; Takashi Matsubara Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: neural ordinary differential equations; coupled system; Poisson system; Dirac structure
2728	Robust System Identification: Finite-sample Guarantees and Connection to Regularization Authors: Hyuk Park; Grani A. Hanasusanto; Yingying Li Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: dynamical system; time series; system identification; optimization
2729	S4M: S4 for multivariate time series forecasting with Missing values Authors: Peng Jing; Meiqi Yang; Qiong Zhang; Xiaoxiao Li Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: S4 Models; Multivariate Time Series Forecasting; Missing Value; Prototype Bank
2730	Scalable Mechanistic Neural Networks Authors: Jiale Chen; Dingling Yao; Adeel Pervez; Dan Alistarh; Francesco Locatello Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Scientific Machine Learning; Ordinary Differential Equations; Time Series; Dynamical Systems
2731	Self-supervised contrastive learning performs non-linear system identification Authors: Rodrigo González Laiz; Tobias Schmidt; Steffen Schneider Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: system identification; dynamics learning; identifiability; self-supervised learning
2732	Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning Authors: Berken Utku Demirel; Christian Holz 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; invariance in neural networks
2733	SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings Authors: Barbora Barancikova; Zhuoyue Huang; Cristopher Salvi Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: diffusion models; path signatures; time series
2734	SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting Authors: Hui Chen; Viet Luong; Lopamudra Mukherjee; Vikas Singh 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; Wavelets
2735	Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning Authors: Fan Yao; Yuwei Cheng; Ermin Wei; Haifeng Xu Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Multi-agent learning; reward poisoning attack; Nash equilibrium; monotone game; convergence; robustness
2736	Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition Authors: Yufan Hu; Yujiang; Wuyang Li; Yixuan Yuan Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Time Series; Diffusion
2737	TRENDy: Temporal Regression of Effective Nonlinear Dynamics Authors: Matt Ricci; Guy Pelc; Zoe Piran; Noa Moriel; Mor Nitzan Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: dynamical systems; neural ODEs; representation learning
2738	TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting Authors: FENG SHIBO; Wanjin Feng; Xingyu Gao; Peilin Zhao; Zhiqi Shen Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: spiking neural network; time series forecasting; Application
2739	TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification Authors: BO HU; Tat-Jen Cham Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Trajectory-Scene-Cell; Trajectory Prediction; Attention
2740	TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation Authors: Chenghan Li; Mingchen Li; Ruisheng Diao 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; Dynamic convolution; Deep Learning
2741	The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG Authors: Francesco S. Carzaniga; Gary Tom Hoppeler; Michael Hersche; Kaspar Schindler; Abbas Rahimi Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: eeg; ieeg; intracranial eeg; electroencephalography; compression; transfer; seizure; seizure detection; motor imagery
2742	TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Authors: Songtao Huang; Zhen Zhao; Can Li; LEI BAI Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Kolmogorov-Arnold Network; Time Series Forecasting
2743	Timer-XL: Long-Context Transformers for Unified Time Series Forecasting Authors: Yong Liu; Guo Qin; Xiangdong Huang; Jianmin Wang; Mingsheng Long 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; Transformer; Foundation Model
2744	Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders Authors: Qichao Shentu; Beibu Li; Kai Zhao; 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: Time series; Anomaly detection
2745	Zero-shot Imputation with Foundation Inference Models for Dynamical Systems Authors: Patrick Seifner; Kostadin Cvejoski; Antonia Körner; Ramses J Sanchez Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Zero-shot imputation; foundation models; time series imputation; dynamical systems; amortized inference; zero-shot interpolation; foundation models for time se…
2746	Zero-shot Model-based Reinforcement Learning using Large Language Models Authors: Abdelhakim Benechehab; Youssef Attia El Hili; Ambroise Odonnat; Oussama Zekri; Albert Thomas; Giuseppe Paolo; Maurizio Filippone; Ievgen Redko; Balázs Kégl Affiliation: 官方页面未列出 Official area / track: learning on time series and dynamical systems Recognition: Poster/Regular Keywords: Model-based Reinforcement Learning; Large language models; Zero-shot Learning; In-context Learning
2747	A Solvable Attention for Neural Scaling Laws Authors: Bochen Lyu; Di Wang; Zhanxing Zhu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: self-attention; scaling laws; solution of learning dynamics
2748	A Theoretical Analysis of Self-Supervised Learning for Vision Transformers Authors: Yu Huang; Zixin Wen; Yuejie Chi; Yingbin Liang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Theory of transformers; Convergence analysis; Nonconvex optimization; Theory of self-supervised learning
2749	A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops Authors: Shi Fu; Yingjie Wang; Yuzhu Chen; Xinmei Tian; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Generative Models; Synthetic Data; Transformer; Generalization Error; Learning Theory
2750	Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards Authors: Xiaoyu Yang; Jie Lu; En Yu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Concept Drift; Multi-modal Large Language Model; Data Defect
2751	Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Authors: Binghui Li; Yuanzhi Li Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: deep learning theory; feature learning; adversarial robustness; adversarial training; non-convex optimization
2752	Algorithmic Stability Based Generalization Bounds for Adversarial Training Authors: Runzhi Tian; Yongyi Mao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: algorithmic stability; generalization; adversarial training
2753	Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits Authors: Zihan Zhang; Xiangyang Ji; Yuan Zhou Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: contextual linear bandit; online batch learning
2754	An Online Learning Theory of Trading-Volume Maximization Authors: Tommaso Cesari; Roberto Colomboni Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: regret minimization; bilateral trade; online learning; fairness; theory
2755	Ask, and it shall be given: On the Turing completeness of prompting Authors: Ruizhong Qiu; Zhe Xu; Wenxuan Bao; Hanghang Tong Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Prompting; Large Language Model; Transformer; Expressive Power
2756	Associative memory and dead neurons Authors: Vladimir Fanaskov; Ivan Oseledets Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: associative memory; dead neurone; neural ODE; energy-based model
2757	Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure Authors: Samet Demir; Zafer Dogan Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: deep learning theory; random features; Gaussian equivalence; universality; high-dimensional asymptotics
2758	Attention layers provably solve single-location regression Authors: Pierre Marion; Raphaël Berthier; Gérard Biau; Claire Boyer Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: theory of neural networks; attention; Transformer; statistical learning theory; optimization; first-oder optimization; gradient flow
2759	Bandit Learning in Matching Markets with Indifference Authors: Fang Kong; Jingqi Tang; Mingzhu Li; Pinyan Lu; John C.S. Lui; Shuai Li Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Bandits; Matching markets; Indifference; Stable regret
2760	Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks Authors: Ouns El Harzli; Bernardo Cuenca Grau Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: infinite bayesian neural networks; kernel theory; random matrix theory
2761	Benign Overfitting in Out-of-Distribution Generalization of Linear Models Authors: Shange Tang; Jiayun Wu; Jianqing Fan; Chi Jin Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Over-parameterization; benign overfitting; OOD generalization; principal component regression; minimum norm interpolation; ridge regression
2762	Binary Losses for Density Ratio Estimation Authors: Werner Zellinger Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: density ratio estimation; domain adaptation; composite binary losses; class probability estimation
2763	Block Verification Accelerates Speculative Decoding Authors: Ziteng Sun; Uri Mendlovic; Yaniv Leviathan; Asaf Aharoni; Jae Hun Ro; Ahmad Beirami; Ananda Theertha Suresh Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: llm efficiency; speculative decoding; distribution coupling
2764	Bounds on $L_p$ Errors in Density Ratio Estimation via $f$-Divergence Loss Functions Authors: Yoshiaki Kitazawa Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: density ratio estimation; variational divergence optimization; Kullback–Leibler divergence; $f$-divergence; $L_p$ error; the curse of dimensionality; GAN
2765	Bridging the Gap Between f-divergences and Bayes Hilbert Spaces Authors: Linus Lach; Alexander Willi Fottner; Yarema Okhrin Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: f-divergences; Bayes Hilbert spaces; fenchel conjugates; centered-log-ratio; posterior approximation
2766	Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach Authors: Yuchen Liang; Peizhong Ju; Yingbin Liang; Ness Shroff Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: generative models; denoising diffusion probabilistic model (DDPM); convergence analysis; accelerated methods
2767	Can One Modality Model Synergize Training of Other Modality Models? Authors: Jae-Jun Lee; Sung Whan Yoon Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Multimodal learning; Representation learning; learning theory
2768	Compute-Optimal LLMs Provably Generalize Better with Scale Authors: Marc Anton Finzi; Sanyam Kapoor; Diego Granziol; Anming Gu; Christopher De Sa; J Zico Kolter; Andrew Gordon Wilson Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: generalization bounds; language models; scaling laws
2769	Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation Authors: Rong Tang; Lizhen Lin; Yun Yang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: conditional distribution estimation; diffusion models; distribution regression; generative models; manifold; minimax rate
2770	Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information Authors: Kyungsu Lee; Haeyun Lee; Jae Youn Hwang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: neural representation
2771	Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Authors: Zhuohua Li; Maoli Liu; Xiangxiang Dai; John C.S. Lui Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: clustering of bandits; linear bandits; online learning
2772	Distribution-Specific Agnostic Conditional Classification With Halfspaces Authors: Jizhou Huang; Brendan Juba Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Agnostic linear classification; PAC-learning; Intractability
2773	Divergence of Neural Tangent Kernel in Classification Problems Authors: Zixiong Yu; Songtao Tian; Guhan Chen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: neural tangent kernel; neural network; cross-entropy loss; classification problem
2774	Dynamic Assortment Selection and Pricing with Censored Preference Feedback Authors: Jung-hun Kim; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Dynamic Pricing; Preference Feedback; Bandits
2775	Exact Community Recovery under Side Information: Optimality of Spectral Algorithms Authors: Julia Gaudio; Nirmit Joshi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Community Detection; Spectral Algorithms; Side Information
2776	Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF Authors: Tengyang Xie; Dylan J Foster; Akshay Krishnamurthy; Corby Rosset; Ahmed Hassan Awadallah; Alexander Rakhlin Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Learning theory; Reinforcement learning theory; Sample-efficient reinforcement learning
2777	Extending Mercer's expansion to indefinite and asymmetric kernels Authors: Sungwoo Jeong; Alex Townsend Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Kernel methods; Mercer's expansion; Indefinite kernels; Convergence behavior.
2778	Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks Authors: Binghui Li; Zhixuan Pan; Kaifeng Lyu; Jian Li Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: deep learning theory; feature learning; adversarial robustness; implicit bias
2779	Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks Authors: Nikolaos Tsilivis; Gal Vardi; Julia Kempe Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: implicit bias; steepest descent; deep neural networks
2780	From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks Authors: Clémentine Carla Juliette Dominé; Nicolas Anguita; Alexandra Maria Proca; Lukas Braun; Daniel Kunin; Pedro A. M. Mediano; Andrew M Saxe Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Deep learning; Learning theory; Learning Regime; Rich; Lazy
2781	From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency Authors: Kaiyue Wen; Huaqing Zhang; Hongzhou Lin; Jingzhao Zhang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: chain of thoughts; sample complexity; sparsity; sample efficiency; parity learning
2782	Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power Authors: Lijia Yu; Yibo Miao; Yifan Zhu; Xiao-Shan Gao; Lijun Zhang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: generalization bound; expressive power
2783	Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks Authors: Xianyang Zhang; Huijuan Zhou Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Deep neural networks; Empirical process; Generalization bounds; Kolmogorov-Arnold representation theorem; Model complexity
2784	Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging Authors: Behrooz Tahmasebi; Stefanie Jegelka Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: invariances; group; symmetry; canonicalization
2785	Geometry of Lightning Self-Attention: Identifiability and Dimension Authors: Nathan W. Henry; Giovanni Luca Marchetti; Kathlén Kohn Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Lightning Self-Attention; Neuromanifolds; Algebraic Geometry
2786	Grokking at the Edge of Numerical Stability Authors: Lucas Prieto; Melih Barsbey; Pedro A. M. Mediano; Tolga Birdal Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: grokking; deep learning; learning theory; floating point; scientific computation; generalization
2787	How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning Authors: Arthur Jacot; Seok Hoan Choi; Yuxiao Wen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Generalization bound; covering numbers; compositionality
2788	How Gradient descent balances features: A dynamical analysis for two-layer neural networks Authors: Zhenyu Zhu; Fanghui Liu; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: learning theory; over-parameterization; learning dynamics
2789	How many samples are needed to train a deep neural network? Authors: Pegah Golestaneh; Mahsa Taheri; Johannes Lederer Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Neural networks; Deep learning; generalization error; information theory; mini-max bound; learning theory
2790	Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions Authors: Piotr Indyk; Michael Kapralov; Kshiteej Sheth; Tal Wagner Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Algorithms; Kernel Matrix; Kernel Density Estimation; Locality Sensitive Hashing; Fast Attention
2791	Inner Information Analysis Algorithm for Deep Neural Network based on Community Authors: Guipeng Lan; Shuai Xiao; Meng Xi; Jiabao Wen; Jiachen Yang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: inner information analysis; transparency; knowledge mining
2792	Lambda-Skip Connections: the architectural component that prevents Rank Collapse Authors: Federico Arangath Joseph; Jerome Sieber; Melanie Zeilinger; Carmen Amo Alonso Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Rank Collapse; Skip Connections; Sequence Modeling Architectures
2793	Lasso Bandit with Compatibility Condition on Optimal Arm Authors: Harin Lee; Taehyun Hwang; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Sparse linear bandits; Lasso; Regret analysis
2794	Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games Authors: Yang Cai; Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo; Weiqiang Zheng Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Last-Iterate Convergence; Minty solution; Regret Matching; Zero-Sum Game; Learning in Games
2795	Learning Hierarchical Polynomials of Multiple Nonlinear Features Authors: Hengyu Fu; Zihao Wang; Eshaan Nichani; Jason D. Lee Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Deep Learning Theory; Feature Learning; Three-Layer Neural Network; Gradient Descent; Sample Complexity
2796	Learning High-Degree Parities: The Crucial Role of the Initialization Authors: Emmanuel Abbe; Elisabetta Cornacchia; Jan Hązła; Donald Kougang-Yombi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: initialization; neural networks; gradient descent; parity functions; complexity; initial alignment
2797	Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics Authors: Alireza Mousavi-Hosseini; Denny Wu; Murat A Erdogdu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: mean-field Langevin dynamics; feature learning; multi-index models; neural networks; gradient descent
2798	Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees Authors: Gautam Chandrasekaran; Adam Klivans; Lin Lin Lee; Konstantinos Stavropoulos Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: pac learning; distribution shift; distribution testing; testable learning; neural networks; kernel methods
2799	Learning from weak labelers as constraints Authors: Vishwajeet Agrawal; Rattana Pukdee; Maria Florina Balcan; Pradeep Kumar Ravikumar Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: unsupervised learning; weak supervision; learning theory
2800	Learning to Help in Multi-Class Settings Authors: Yu Wu; Yansong Li; Zeyu Dong; Nitya Sathyavageeswaran; Anand D. Sarwate Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: learning with abstention; learning with reject option; learning to defer; classification
2801	Learning-Augmented Search Data Structures Authors: Chunkai Fu; Brandon G. Nguyen; Jung Hoon Seo; Ryan S. Zesch; Samson Zhou Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: learning-augmented algorithms; data structures
2802	Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model Authors: Zhiwei Xu; Zhiyu Ni; Yixin Wang; Wei Hu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Grokking; feature learning; deep learning theory
2803	Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD Authors: Ze Peng; Jian Zhang; Yisen Wang; Lei Qi; Yinghuan Shi; Yang Gao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: information theory; implicit bias; deep learning theory; convex optimization; learning theory
2804	Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory Authors: Nikola Zubic; Federico Soldà; Aurelio Sulser; Davide Scaramuzza Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: theory; complexity theory; state space models; deep learning architectures; logic in computer science
2805	Lipschitz Bandits in Optimal Space Authors: Xiaoyi Zhu; Zengfeng Huang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Space complexity; Lipschitz bandits
2806	Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks Authors: Devon Jarvis; Richard Klein; Benjamin Rosman; Andrew M Saxe Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Gated Deep Linear Networks; Feature Learning Dynamics; Structured Mixed Selectivity; ReLU Networks
2807	Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory Authors: Aymane El Firdoussi; Mohamed El Amine Seddik; Soufiane Hayou; Reda ALAMI; Ahmed Alzubaidi; Hakim Hacid Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Synthetic Data; RLHF; Generative Models; Statistical Models; Random Matrices
2808	Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift Authors: Zhen Zhang; Xin Liu; Shaoli Wang; Jiaye Teng Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: covariate shift; minimax optimal; two-stage algorithm; double robustness
2809	Misspecified $Q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error Authors: Ally Yalei Du; Lin Yang; Ruosong Wang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: misspecification error; reinforcement learning theory; sample complexity; sparsity
2810	Near-optimal Active Regression of Single-Index Models Authors: Yi Li; Wai Ming Tai Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Lewis weights; Active regression; Query complexity
2811	No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models Authors: Changlong Wu; Ananth Grama; Wojciech Szpankowski Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: generative models; hallucination; no-free-lunch theorem; distribution PAC learning; VC-dimension
2812	O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions Authors: Gen Li; Yuling Yan Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: score-based generative model; diffusion model; denoising diffusion probabilistic model; sampling
2813	ONLINE EPSILON NET & PIERCING SET FOR GEOMETRIC CONCEPTS Authors: Sujoy Bhore; Devdan Dey; Satyam Singh Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Theoretical machine learning; VC-dimension; Geometric sampling
2814	On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions Authors: Omer Madmon; Idan Pipano; Itamar Reinman; Moshe Tennenholtz Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Game theory; no-regret dynamics; recommendation systems; information retrieval
2815	On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery Authors: Renpu Liu; Ruida Zhou; Cong Shen; Jing Yang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Transformer; In-context learning; Learning-to-optimize
2816	On the Optimal Memorization Capacity of Transformers Authors: Tokio Kajitsuka; Issei Sato Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Transformer; Self-Attention; Memorization; Contextual Mapping; Permutation Equivariance
2817	On the Relation between Trainability and Dequantization of Variational Quantum Learning Models Authors: Elies Gil-Fuster; Casper Gyurik; Adrian Perez-Salinas; Vedran Dunjko Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: quantum machine learning; machine learning theory; quantum information theory
2818	On the expressiveness and spectral bias of KANs Authors: Yixuan Wang; Jonathan W. Siegel; Ziming Liu; Thomas Y. Hou Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Kolmogorov-Arnold Network; Spectral Bias; Approximation Theory
2819	Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios Authors: Hongwei Wen; Annika Betken; Hanyuan Hang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: complex classification scenarios; long-tailed learning; domain adaptation; transfer learning; kernel methods; logistic regression; learning theory
2820	Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression Authors: Juno Kim; Dimitri Meunier; Arthur Gretton; Taiji Suzuki; Zhu Li Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: instrumental variable regression; DFIV; deep neural networks; minimax optimality
2821	Oracle efficient truncated statistics Authors: Konstantinos Karatapanis; Vasilis Kontonis; Christos Tzamos Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: truncated statistics; exponential family; statistical learning
2822	Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors Authors: Sungyoon Lee; Sokbae Lee Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: minimum norm solution; ridgeless estimator; benign overfitting; double descent; overparameterization
2823	Progress or Regress? Self-Improvement Reversal in Post-training Authors: Ting Wu; Xuefeng Li; Pengfei Liu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Iterative Self-improvement; Problem-solving AI
2824	Provable weak-to-strong generalization via benign overfitting Authors: David Xing Wu; Anant Sahai Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: benign overfitting; spiked covariance models; overparameterized models; interpolation; pseudolabeling; weak-to-strong generalization; alignment
2825	Quality over Quantity in Attention Layers: When Adding More Heads Hurts Authors: Noah Amsel; Gilad Yehudai; Joan Bruna Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Learning theory; Expressive capacity; Expressive power; Transformer; Attention
2826	Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations Authors: Takashi Furuya; Koichi Taniguchi; Satoshi Okuda Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Neural operators; Partial differential equations; Nonlinear parabolic equations; Quantitative universal approximation
2827	RNNs are not Transformers (Yet): The Key Bottleneck on In-Context Retrieval Authors: Kaiyue Wen; Xingyu Dang; Kaifeng Lyu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: rnn; cot; representation theory
2828	Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator Authors: Wenhao XU; Xuefeng Gao; Xuedong He Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: reinforcement Learning; regret; LEQR; finite horizon; episodic setting
2829	Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds Authors: Michael Chen; A. Pavan; N. V. Vinodchandran; Ruosong Wang; Lin Yang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Replicability; Regret Bound; Bandit
2830	Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels Authors: Hyeonsu Jeong; Hye Won Chung Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: self-distillation; partial label learning; label noise correction; training with soft labels; multi-class classification
2831	Robust Feature Learning for Multi-Index Models in High Dimensions Authors: Alireza Mousavi-Hosseini; Adel Javanmard; Murat A Erdogdu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: feature learning; adversarial robustness; neural networks; multi-index models; gradient descent
2832	Robustness Auditing for Linear Regression: To Singularity and Beyond Authors: Ittai Rubinstein; Samuel B. Hopkins Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Robust machine learning; linear regression; robustness auditing; data attribution; ordinary least squares; robust statistics; econometrics
2833	Satisficing Regret Minimization in Bandits Authors: Qing Feng; Tianyi Ma; Ruihao Zhu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Online learning; Bandits; Satisficing
2834	Second Order Bounds for Contextual Bandits with Function Approximation Authors: Aldo Pacchiano Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: theory; contextual bandits; variance aware; second order; bandits
2835	Selective Task Group Updates for Multi-Task Optimization Authors: Wooseong Jeong; Kuk-Jin Yoon Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Multi-Task Learning; Multi-Task Optimization; Proximal Inter-Task Affinity
2836	Semialgebraic Neural Networks: From roots to representations Authors: S David Mis; Matti Lassas; Maarten V. de Hoop Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: deep learning; semialgebraic functions; homotopy continuation; real algebraic geometry; recurrent neural networks
2837	Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods Authors: Hossein Taheri; Christos Thrampoulidis; Arya Mazumdar Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: generalization bounds; neural networks; optimization; feature learning
2838	Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees Authors: Yingzhen Yang; Ping Li Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Sketching; Random Projection; Minimax Rates
2839	State Space Models are Provably Comparable to Transformers in Dynamic Token Selection Authors: Naoki Nishikawa; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: State Space Model; Transformer; Nonparametric regression
2840	Statistical Advantages of Perturbing Cosine Router in Mixture of Experts Authors: Huy Nguyen; Pedram Akbarian; Huyen Trang Pham; Thien Trang Nguyen Vu; Shujian Zhang; Nhat Ho Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: mixture of experts; cosine router; perturbation
2841	Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs Authors: Yuheng Zhang; Nan Jiang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Partially Observable Markov Decision Process; Offline Policy Evaluation; Reinforcement Learning Theory
2842	Stochastic Bandits Robust to Adversarial Attacks Authors: Xuchuang Wang; Maoli Liu; Jinhang Zuo; Xutong Liu; John C.S. Lui; Mohammad Hajiesmaili Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Robust Algorithms; Multi-armed Bandits; Adversarial Attacks
2843	Task Descriptors Help Transformers Learn Linear Models In-Context Authors: Ruomin Huang; Rong Ge Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Transformer; in-context learning; linear regression; task descriptor
2844	The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures Authors: Xiaoyi MAI; Zhenyu Liao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: High-dimensional statistics; random matrix theory; Gaussian universality; empirical risk minimization; mixture models; linear factor models
2845	The Computational Complexity of Positive Non-Clashing Teaching in Graphs Authors: Robert Ganian; Liana Khazaliya; Fionn Mc Inerney; Mathis Rocton Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: non-clashing teaching; positive teaching; computational complexity; NP-hardness; parameterized complexity
2846	The Foundations of Tokenization: Statistical and Computational Concerns Authors: Juan Luis Gastaldi; John Terilla; Luca Malagutti; Brian DuSell; Tim Vieira; Ryan Cotterell Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Tokenization; Language Models; Consistency; NLP; Theoretical Foundations; Stochastic Maps; Category Theory
2847	Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers Authors: Yuchen Liang; Peizhong Ju; Yingbin Liang; Ness Shroff Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: generative models; denoising diffusion probabilistic model (DDPM); convergence analysis; zero-shot conditional sampling; model mismatch
2848	Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization Authors: Zixuan Gong; Xiaolin Hu; Huayi Tang; Yong Liu Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: In-context learning; Auto-regressive next-token prediction; Generalization performance; PAC-Bayesian
2849	Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification Authors: Wen Wen; Han Li; Tieliang Gong; Hong Chen Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Generalization Analysis; Adversarial Learning; Graph Convolution Networks; Node Classification；Node Attacks
2850	Towards Understanding the Universality of Transformers for Next-Token Prediction Authors: Michael Eli Sander; Gabriel Peyré Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Transformers; In-Context Learning; Deep Learning Theory
2851	Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context Authors: Spencer Frei; Gal Vardi Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: in-context learning; generalization; benign overfitting; implicit regularization
2852	Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis Authors: Hongkang Li; Songtao Lu; Pin-Yu Chen; Xiaodong Cui; Meng Wang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Theoretical Chain-of-Thought; generalization; deep learning theory; In-Context Learning; training dynamics of Transformers
2853	Transformer Learns Optimal Variable Selection in Group-Sparse Classification Authors: Chenyang Zhang; Xuran Meng; Yuan Cao Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: transformer; self-attention; variable selection; group-sparse classification
2854	Transformers Handle Endogeneity in In-Context Linear Regression Authors: Haodong Liang; Krishna Balasubramanian; Lifeng Lai Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: endogeneity; instrumental variables; transformers; bi-level gradient descent
2855	Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow Authors: Hongru Yang; Zhangyang Wang; Jason D. Lee; Yingbin Liang Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: transformer; training dynamics; gradient flow; mixture of linear classification
2856	Transformers are Universal In-context Learners Authors: Takashi Furuya; Maarten V. de Hoop; Gabriel Peyré Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Transfomer; In-context learning; Universal approximation; Wasserstein; Optimal transport
2857	U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Authors: Song Mei Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: diffusion model; denoising; belief propagation; generative hierarchical models
2858	When does compositional structure yield compositional generalization? A kernel theory. Authors: Samuel Lippl; Kim Stachenfeld Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: compositional generalization; rule learning; kernel regression; kernel models; relational reasoning; memorization; shortcuts; dataset statistics; norm minimiza…
2859	When narrower is better: the narrow width limit of Bayesian parallel branching neural networks Authors: Zechen Zhang; Haim Sompolinsky Affiliation: 官方页面未列出 Official area / track: learning theory Recognition: Poster/Regular Keywords: Bayesian Networks; Gaussian Process; Kernel Renormalization; Graph Neural Networks; Residual Network; Theory of Generalization
2860	A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization Authors: Yinqi Bai; Jie Wang; Lei Chen; Zhihai Wang; Yufei Kuang; Mingxuan Yuan; Jianye HAO; Feng 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: Chip Design; Logic Optimization; Symbolic Regression; Knowledge Distillation; logic & formal reasoning; etc.)
2861	Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints Authors: Mihaela C. Stoian; Eleonora Giunchiglia 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: tabular data generation; neuro-symbolic AI; informed machine learning; safe AI; logic & formal reasoning; etc.)
2862	CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search Authors: Xiao-Wen Yang; Zhi Zhou; Haiming Wang; Aoxue Li; Wen-Da Wei; Hui Jin; Zhenguo Li; Yu-Feng 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: Neural Theorem Proving; Diversified Tactic Calibration; Bias-Resistant Tree Search; Monte Carlo Tree Search; logic & formal reasoning; etc.)
2863	Circuit Transformer: A Transformer That Preserves Logical Equivalence Authors: Xihan Li; Xing Li; Lei Chen; Xing Zhang; Mingxuan Yuan; Jun 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: Transformer; Logic; EDA; Circuit; Logic Synthesis; logic & formal reasoning; etc.)
2864	Combining Induction and Transduction for Abstract Reasoning Authors: Wen-Ding Li; Keya Hu; Carter Larsen; Yuqing Wu; Simon Alford; Caleb Woo; Spencer M. Dunn; Hao Tang; Wei-Long Zheng; Yewen Pu; 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: Abstract Reasoning; Visual Reasoning; Program Synthesis; Induction; Transduction; logic & formal reasoning; etc.)
2865	Controllable Generation via Locally Constrained Resampling Authors: Kareem Ahmed; Kai-Wei Chang; Guy Van den Broeck 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; LLMs; Controllable Generation; Constraints; Probabilistic Methods; logic & formal reasoning; etc.)
2866	Differentiable Rule Induction from Raw Sequence Inputs Authors: Kun Gao; Katsumi Inoue; Yongzhi Cao; Hanpin Wang; Yang Feng 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; Interpretability; Inductive Logic Programming; logic & formal reasoning; etc.)
2867	Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning Authors: Hyun Ryu; Gyeongman Kim; Hyemin S. Lee; Eunho Yang 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; Large Language Models; Neurosymbolic Approaches; Semantic Decomposition; Formal Language Verification; logic & formal reasoning; etc.)
2868	GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training Authors: Renqiu Xia; Mingsheng Li; Hancheng Ye; Wenjie Wu; Hongbin Zhou; Jiakang Yuan; Tianshuo Peng; Xinyu Cai; Xiangchao Yan; Bin Wang; Conghui He; Botian Shi; Tao Chen; Junchi Yan; Bo Z… 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: Geometry Problem Solving; Complicated Task Reasoning; logic & formal reasoning; etc.)
2869	IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities Authors: 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: Neuro-Symbolic; Program Analysis; Security Vulnerability; LLM; logic & formal reasoning; etc.)
2870	ImProver: Agent-Based Automated Proof Optimization Authors: Riyaz Ahuja; Jeremy Avigad; Prasad Tetali; Sean Welleck 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: Automated Proof Optimization; Neural Theorem Proving; Formal Mathematics; Lean Theorem Prover; Proof Generation; Large Language Models; Symbolic Reasoning; Int…
2871	IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking Authors: Shubham Ugare; Rohan Gumaste; Tarun Suresh; Gagandeep Singh; Sasa Misailovic 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; Grammar; Formal Languages; Parser; Decoding; logic & formal reasoning; etc.)
2872	KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI Authors: Jaron Maene; Vincent Derkinderen; Pedro Zuidberg Dos Martires 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; Arithmetic Circuits; Sparse Inference; logic & formal reasoning; etc.)
2873	LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision Authors: Jiani Huang; Ziyang Li; Mayur Naik; Ser-Nam Lim 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; video understanding; spatial-temporal scene graph; weak supervision; logic & formal reasoning; etc.)
2874	Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation Authors: Chengwen Qi; Ren Ma; Bowen Li; He Du; Binyuan Hui; Jinwang Wu; Yuanjun Laili; Conghui 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: logical reasoning; symbolic provers; LLMs evaluation; logic & formal reasoning; etc.)
2875	LeanAgent: Lifelong Learning for Formal Theorem Proving Authors: Adarsh Kumarappan; Mo Tiwari; Peiyang Song; Robert Joseph George; Chaowei Xiao; Anima Anandkumar 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: Theorem Proving; Formal Theorem Proving; Neural Theorem Proving; Lifelong Learning; Formal Mathematics; Large Language Models; LLMs; Curriculum Learning; Proof…
2876	Logically Consistent Language Models via Neuro-Symbolic Integration Authors: Diego Calanzone; Stefano Teso; Antonio Vergari 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: probabilistic reasoning; logical consistency; LLMs; neuro-symbolic; semantic loss; logic & formal reasoning; etc.)
2877	NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains Authors: Wonje Choi; Jinwoo Park; Sanghyun Ahn; Daehee Lee; Honguk Woo 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: Embodied AI; Neuro-symbolic AI; logic & formal reasoning; etc.)
2878	Neural Wave Equation for Irregularly Sampled Sequence Data Authors: Arkaprava Majumdar; M Anand Krishna; P. K. Srijith 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: Wave Equation; Neural ODE; Sequence Labelling; logic & formal reasoning; etc.)
2879	Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems Authors: Sung Woong Cho; Hwijae Son 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: Inverse Problems; Stability; Operator Learning; Physics-Informed Machine Learning; logic & formal reasoning; etc.)
2880	Procedural Synthesis of Synthesizable Molecules Authors: Michael Sun; Alston Lo; Minghao Guo; Jie Chen; Connor W. Coley; Wojciech Matusik 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: molecular design; synthesis planning; tree generation; graph generation; logic & formal reasoning; etc.)
2881	Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning Authors: Zenan Li; Zhaoyu Li; Wen Tang; Xian Zhang; Yuan Yao; Xujie Si; Fan Yang; Kaiyu Yang; Xiaoxing Ma 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 theorem proving; Olympiad inequalities; Large language model; Symbolic method; logic & formal reasoning; etc.)
2882	Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length Authors: Zihan Yu; Jingtao Ding; Yong Li; Depeng Jin 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; minimum description length; trans former; neural network guided search; logic & formal reasoning; etc.)
2883	A Coefficient Makes SVRG Effective Authors: Yida Yin; Zhiqiu Xu; Zhiyuan Li; Trevor Darrell; Zhuang Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Variance Reduction; SGD
2884	A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization Authors: Aron Brenner; Rahman Khorramfar; Jennifer Z Sun; Saurabh Amin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: robust optimization; stochastic optimization; discrete optimization; deep learning; unsupervised learning
2885	A New Perspective on Shampoo's Preconditioner Authors: Depen Morwani; Itai Shapira; Nikhil Vyas; eran malach; Sham M. Kakade; Lucas Janson Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; hessian; shampoo; adagrad; second order optimization
2886	A Stochastic Approach to the Subset Selection Problem via Mirror Descent Authors: Dan Greenstein; Elazar Gershuni; Ilan Ben-Bassat; Yaroslav Fyodorov; Ran Moshe; Fiana Raiber; Alex Shtoff; Oren Somekh; Nadav Hallak Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Nonconvex Optimization; Subset Selection; Stochastic; Mirror Descent; Stochastic Mirror Descent
2887	A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems Authors: Shulan Zhu; Chenglong Bao; Defeng Sun; Yancheng Yuan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: inexact stochastic proximal point method; stochastic composite optimization; quadratic growth; rate of convergence
2888	A Unified Theory of Quantum Neural Network Loss Landscapes Authors: Eric Ricardo Anschuetz Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: quantum machine learning; neural tangent kernel; loss landscape; spin glass; Kac–Rice formula
2889	ADAM Optimization with Adaptive Batch Selection Authors: Gyu Yeol Kim; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: ADAM; Combinatorial Bandit; Importance Sampling; Mini-Batch; Optimization; Regret Minimization
2890	ADMM for Nonconvex Optimization under Minimal Continuity Assumption Authors: Ganzhao Yuan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Nonconvex Optimization; Proximal Linearized ADMM; Nonsmooth Optimization; Convergence Analysis
2891	ADMM for Structured Fractional Minimization Authors: Ganzhao Yuan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Fractional Minimization; Nonconvex Optimization; Proximal Linearized ADMM; Nonsmooth Optimization; Convergence Analysis
2892	Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization Authors: Jingrong Wei; Long Chen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization theory; heavy ball; momentum; acceleration; composite optimization; min-max; saddle point problem
2893	Achieving Dimension-Free Communication in Federated Learning via 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: Federated Learning; Zeroth-Order Optimization; Communication Efficiency; Low Rank; Large Language Models; Fine-Tuning
2894	AdaFisher: Adaptive Second Order Optimization via Fisher Information Authors: Damien MARTINS GOMES; Yanlei Zhang; Eugene Belilovsky; Guy Wolf; Mahdi S. Hosseini Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Second Order Optimization; Fisher Information; Kronecker-factored Approximate Curvature; Deep Learning; Computer Vision; Natural Language Processing
2895	AdaGrad under Anisotropic Smoothness Authors: Yuxing Liu; Rui Pan; Tong Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization theory; Convergence analysis; Stochastic optimization; Adaptive gradient methods
2896	Adam-mini: Use Fewer Learning Rates To Gain More Authors: Yushun Zhang; Congliang Chen; Ziniu Li; Tian Ding; Chenwei Wu; Diederik P Kingma; Yinyu Ye; Zhi-Quan Luo; Ruoyu Sun Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: large language model; memory; optimizer
2897	Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise Authors: Enea Monzio Compagnoni; Tianlin Liu; Rustem Islamov; Frank Norbert Proske; Antonio Orvieto; Aurelien Lucchi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic Differential Equations; Stochastic Optimization; Adaptive Methods
2898	Adaptive backtracking line search Authors: Joao V. Cavalcanti; Laurent Lessard; Ashia C. Wilson Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; backtracking line search; Armijo condition; descent lemma; adaptive optimization methods
2899	Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models Authors: Zeman Li; Xinwei Zhang; Peilin Zhong; Yuan Deng; Meisam Razaviyayn; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Large Language Models; memory efficient Fine-tuning; Zeroth order optimization
2900	Adversarial Generative Flow Network for Solving Vehicle Routing Problems Authors: Ni Zhang; Jingfeng Yang; Zhiguang Cao; Xu Chi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Generative Flow Network; Adversarial Training; Vehicle Routing Problem
2901	An Asynchronous Bundle Method for Distributed Learning Problems Authors: Daniel Cederberg; Xuyang Wu; Stephen P. Boyd; Mikael Johansson Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Distributed optimization; asynchronous optimization; model-based optimization
2902	An Effective Manifold-based Optimization Method for Distributionally Robust Classification Authors: Jiawei Huang; Hu Ding Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: robustness; optimization; representation learning
2903	BP-Modified Local Loss for Efficient Training of Deep Neural Networks Authors: REN Lianhai; Qianxiao Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: deep learning optimization; local loss training; bias-variance balance
2904	BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP Authors: Hao Yuan; Wenli Ouyang; Changwen Zhang; Yong Sun; Liming Gong; Junchi Yan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Large neighborhood search; Reinforcement learning; Bound tightening
2905	Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games Authors: Kenshi Abe; Mitsuki Sakamoto; Kaito Ariu; Atsushi Iwasaki Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Last-Iterate Convergence; Learning in Games; Noisy Feedback
2906	CONGO: Compressive Online Gradient Optimization Authors: Jeremy Carleton; Prathik Vijaykumar; Divyanshu Saxena; Dheeraj Narasimha; Srinivas Shakkottai; Aditya Akella Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: online convex optimization; compressive sensing; regret analysis
2907	Cauchy-Schwarz Regularizers Authors: Sueda Taner; Ziyi Wang; Christoph Studer Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Regularizer; optimization; discretization; quantization
2908	Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models Authors: Hualin Zhang; Haozhen Zhang; Zhekai Liu; Bin Gu; Yi Chang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Black-box prompt learning; discrete optimization
2909	Competitive Fair Scheduling with Predictions Authors: Tianming Zhao; Chunqiu xia; Xiaomin Chang; Chunhao Li; Wei Li; Albert Zomaya Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learning-augmented Algorithms; Scheduling; Competitive analysis; Fairness; Predictions
2910	Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness Authors: Michael Crawshaw; Mingrui Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; nonconvex optimization; stochastic optimization; adaptive optimization; relaxed smoothness; lower bounds; adagrad
2911	Convergence of Distributed Adaptive Optimization with Local Updates Authors: Ziheng Cheng; Margalit Glasgow Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: distributed optimization; Adam; theoretical benefits of local updates
2912	Convex Formulations for Training Two-Layer ReLU Neural Networks Authors: Karthik Prakhya; Tolga Birdal; Alp Yurtsever Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: copositive programming; semidefinite programming; neural networks
2913	DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS Authors: Rana Shahout; eran malach; Chunwei Liu; Weifan Jiang; Minlan Yu; Michael Mitzenmacher Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: LLM serving; scheduling; algorithms with predictions
2914	DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints Authors: Xia Jiang; Yaoxin Wu; Chenhao Zhang; Yingqian Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: vehicle routing problems; large language model; retrieval augmented generation
2915	DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity Authors: Zhen Qin; Zhuqing Liu; Songtao Lu; Yingbin Liang; Jia Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Decentralized optimization; Bilevel optimization; Convex optimization; Heterogeneous data distributions; Multi agent learning
2916	Debiasing Federated Learning with Correlated Client Participation Authors: Zhenyu Sun; ziyang zhang; Zheng Xu; Gauri Joshi; Pranay Sharma; Ermin Wei Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: federated learning; Markov chain; time-correlated participation
2917	Debiasing Mini-Batch Quadratics for Applications in Deep Learning Authors: Lukas Tatzel; Bálint Mucsányi; Osane Hackel; Philipp Hennig Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: quadratic Taylor approximation; mini-batching; second-order optimizers; conjugate gradients; uncertainty quantification; Laplace approximation; stochastic curv…
2918	Decentralized Optimization with Coupled Constraints Authors: Demyan Yarmoshik; Alexander Rogozin; Nikita Kiselev; Daniil Dorin; Alexander Gasnikov; Dmitry Kovalev Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: decentralized optimization; convex optimization; affine constraints
2919	Decision Information Meets Large Language Models: The Future of Explainable Operations Research Authors: Yansen Zhang; Qingcan Kang; Wing Yin YU; HaileiGong; Xiaojin Fu; Xiongwei Han; Tao Zhong; Chen Ma Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Operations Research Problems; Large Language Models
2920	Decision Tree Induction Through LLMs via Semantically-Aware Evolution Authors: Tennison Liu; Nicolas Huynh; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: decision trees; LLMs; genetic programming
2921	Deep Distributed Optimization for Large-Scale Quadratic Programming Authors: Augustinos D Saravanos; Hunter Kuperman; Alex Oshin; Arshiya Taj Abdul; Vincent Pacelli; Evangelos Theodorou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learning-to-Optimize; Distributed Optimization; Large-Scale Quadratic Programming
2922	DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance Authors: Liang Sun; Yang Zhang; Weizhao He; Jiajun Wen; Linlin Shen; Weicheng Xie Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: backpropagation-free; forward-forward; forward learning; brain-inspired computing
2923	Descent with Misaligned Gradients and Applications to Hidden Convexity Authors: Aditya Bhaskara; Ashok Cutkosky; Ravi Kumar; Manish Purohit Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; gradient descent; hidden convexity
2924	Direct Distributional Optimization for Provable Alignment of Diffusion Models Authors: Ryotaro Kawata; Kazusato Oko; Atsushi Nitanda; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Diffusion models; Optimization
2925	Do Deep Neural Network Solutions Form a Star Domain? Authors: Ankit Sonthalia; Alexander Rubinstein; Ehsan Abbasnejad; Seong Joon Oh Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: mode connectivity; loss landscapes; neural networks; parameter space; star domain
2926	Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism Authors: Tehila Dahan; Kfir Yehuda Levy Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: online convex optimization; stochastic convex optimization
2927	Does SGD really happen in tiny subspaces? Authors: Minhak Song; Kwangjun Ahn; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization for deep networks; training dynamics; SGD; Hessian; low-rank subspace
2928	Edge-aware Image Smoothing with Relative Wavelet Domain Representation Authors: Huiqing QI; Xiaoliu Luo; Tingting Li; Fang Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Image smoothing; Wavelet transformation; Relative wavelet domain representation; Edge-preserving; Non-convex optimization
2929	Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation Authors: Zhao Song; Mingquan Ye; Junze Yin; Lichen Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: weighted low rank approximation; sketching; alternating minimization
2930	Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs Authors: Thomas Pethick; Ioannis Mavrothalassitis; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Weak Minty variational inequalities; cohypomonotone; nonmonotone; first-order methods; extragradient method; proximal point algorithm
2931	Efficient Sparse PCA via Block-Diagonalization Authors: Alberto Del Pia; Dekun Zhou; Yinglun Zhu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Sparse PCA; Block Diagonalization; Compurational Efficiency; Approximation Algorithms
2932	Efficient stagewise pretraining via progressive subnetworks Authors: Abhishek Panigrahi; Nikunj Saunshi; Kaifeng Lyu; Sobhan Miryoosefi; Sashank J. Reddi; Satyen Kale; Sanjiv Kumar Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Efficient stagewise training; modular training; language model pretraining; implicit bias; simple-to-complex learning
2933	Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures Authors: Yiming Chen; Yuan Zhang; Liyuan Cao; Kun Yuan; Zaiwen Wen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: zeroth-order optimization; large language model fine-tuning; stochastic optimization
2934	Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions Authors: Haoyuan Sun; Zihao Wu; Bo Xia; Pu Chang; Zibin Dong; Yifu Yuan; Yongzhe Chang; Xueqian Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Deep Learning; Activation Functions; Information Entropy
2935	FLOPS: Forward Learning with OPtimal Sampling Authors: Tao Ren; Zishi Zhang; Jinyang Jiang; Guanghao Li; Zeliang Zhang; Mingqian Feng; Yijie Peng Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: stochastic optimization; zeroth-order optimization; bp-free training
2936	Fair Submodular Cover Authors: Wenjing Chen; Shuo Xing; Samson Zhou; Victoria G. Crawford Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: discrete optimization; submodular cover; fairness
2937	Faster Algorithms for Structured Linear and Kernel Support Vector Machines Authors: Yuzhou Gu; Zhao Song; Lichen Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: interior point method; support vector machine; data structure
2938	Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Authors: Xi Lin; Yilu Liu; Xiaoyuan Zhang; Fei Liu; Zhenkun Wang; Qingfu Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: multi-objective optimization; many-objective optimization; Tchebycheff scalarization
2939	From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ Authors: Zhaojing Wen; Qiulin Zhang; Yuan Zhang; Rudan Chen; Xichao Yang; Di Xie; Jiang Zhu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Post-Training Quantization
2940	GeoLoRA: Geometric integration for parameter efficient fine-tuning Authors: Steffen Schotthöfer; Emanuele Zangrando; Gianluca Ceruti; Francesco Tudisco; Jonas Kusch Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Low Rank; Finetuning; Robustness; Rank Adaptive; LoRA; Low Rank Adapter
2941	Gradient correlation is a key ingredient to accelerate SGD with momentum Authors: Julien Hermant; Marien Renaud; Jean-François Aujol; Charles Dossal; Aude Rondepierre Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; convex; nesterov momentum; sgd; neural network
2942	Gradient descent with generalized Newton’s method Authors: Zhiqi Bu; Shiyun Xu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Hessian matrix; Learning rate scheduler
2943	Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling Authors: Yifan Yang; Gang Chen; Hui Ma; Cong Zhang; Zhiguang Cao; Mengjie Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: workflow scheduling; graph attention neural network; reinforcement learning; online learning
2944	Group Distributionally Robust Dataset Distillation with Risk Minimization Authors: Saeed Vahidian; Mingyu Wang; Jianyang Gu; Vyacheslav Kungurtsev; Wei Jiang; Yiran Chen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: dataset distillation; distributional robustness; generalization
2945	LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics Authors: Thomas Robert; Mher Safaryan; Ionut-Vlad Modoranu; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: adaptive optimization; memory efficiency; low-rank learning; low-rank compression; convergence rates
2946	LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch Authors: Caigao JIANG; Xiang Shu; Hong Qian; Xingyu Lu; JUN ZHOU; Aimin Zhou; Yang Yu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Optimization Problem Formulation; Problem Definition; Foundation Model
2947	LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace Authors: Yan Yang; Bin Gao; Ya-xiang Yuan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bilevel Optimization; Lanczos Process; Krylov Subspace
2948	Last Iterate Convergence of Incremental Methods as a Model of Forgetting Authors: Xufeng Cai; Jelena Diakonikolas Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: incremental methods; last-iterate convergence; proximal methods; continual learning
2949	Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability Authors: Avrajit Ghosh; Soo Min Kwon; Rongrong Wang; Saiprasad Ravishankar; Qing Qu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: edge of stability; deep matrix factorization
2950	Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation Authors: Sijia Zhang; Shuli Zeng; Shaoang Li; Feng Wu; Xiangyang Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: branch and bound; mixed integer linear programming
2951	Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling Authors: Sirui Li; Wenbin Ouyang; Yining Ma; Cathy Wu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learning-Guided Optimization; Rolling Horizon Optimization; Flexible Job Shop Scheduling
2952	Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization Authors: Zeou Hu; Yaoliang Yu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Multi-Objective Optimization; Machine Learning; Deep Learning; Multi-task Learning; Gradient-Based Optimization
2953	Linear Partial Gromov-Wasserstein Embedding Authors: Yikun Bai; Abihith Kothapalli; Hengrong Du; Rocio Diaz Martin; Soheil Kolouri Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimal transport; Gromov-Wasserstein problem; Unbalanced optimal transport
2954	Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation Authors: Satoki Ishikawa; Rio Yokota; Ryo Karakida Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: deep learning; feature learning; local learning; predictive coding; target propagation; infinite width; maximal update parameterization (muP)
2955	Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression Authors: Michael Crawshaw; Blake Woodworth; Mingrui Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; convex optimization; distributed optimization; federated learning; logistic regression
2956	Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold Authors: Sixin Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: min-max algorithm; differential game; Riemannian manifold; Wasserstein GAN
2957	Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding Authors: Frank Zhengqing Wu; Berfin Simsek; François Gaston Ged Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: loss landscape; non-smooth; training dynamics; network embedding; over-parameterization; neural network
2958	MAST: model-agnostic sparsified training Authors: Yury Demidovich; Grigory Malinovsky; Egor Shulgin; Peter Richtárik Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: dropout theory; sparse training
2959	MGDA Converges under Generalized Smoothness, Provably Authors: Qi Zhang; Peiyao Xiao; Shaofeng Zou; Kaiyi Ji Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Multi-Objective Optimization; Generalized Smoothness; Convergence Analysis; Sample Complexity
2960	Making Transformer Decoders Better Differentiable Indexers Authors: Wuchao Li; Kai Zheng; Defu Lian; Qi Liu; Wentian Bao; Enyun Yu; Yang Song; Han Li; Kun Gai Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Generative Retrieval; Generative Index; End-to-end Recommender System; Information Retrieval; Transformer
2961	Mask in the Mirror: Implicit Sparsification Authors: Tom Jacobs; Rebekka Burkholz Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Continuous sparsification; Implicit bias; Mirror flow; Time-dependent Bregman potential; Regularization; Rich regime
2962	Matrix Product Sketching via Coordinated Sampling Authors: Majid Daliri; Juliana Freire; Danrong Li; Christopher Musco Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Sketching Algorithm; Matrix Multiplication; Model Compression; Data Discovery; Efficient resource
2963	Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity Authors: Eduard Gorbunov; Nazarii Tupitsa; Sayantan Choudhury; Alen Aliev; Peter Richtárik; Samuel Horváth; Martin Takáč Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: generalized smoothness; first-order optimization; convex optimization; Polyak stepsizes; gradient clipping; adaptive optimization; acceleration
2964	Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization Authors: Yury Demidovich; Petr Ostroukhov; Grigory Malinovsky; Samuel Horváth; Martin Takáč; Peter Richtárik; Eduard Gorbunov Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Federated Learning; Distributed Optimization; Local Training; Random Reshuffling; Generalized Smoothness
2965	Minimalistic Predictions for Online Class Constraint Scheduling Authors: Dorian Guyot; Alexandra Anna Lassota Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Scheduling; Class Constraints; Predictions; Online Algorithms
2966	MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures Authors: Anvith Thudi; Chris J. Maddison Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Distributional Robustness; Non-parametric Learning; Function Space; Trustworthy Machine Learning
2967	Multi-objective Differentiable Neural Architecture Search Authors: Rhea Sanjay Sukthanker; Arber Zela; Benedikt Staffler; Samuel Dooley; Josif Grabocka; Frank Hutter Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: hardware efficiency; neural architecture search; network compression
2968	Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization Authors: Zeyuan Ma; Jiacheng Chen; Hongshu Guo; Yue-Jiao Gong Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Landscape Analysis; Black-Box Optimization; Meta-Black-Box-Optimization; Learning to Optimize
2969	New Algorithms for the Learning-Augmented k-means Problem Authors: Junyu Huang; Qilong Feng; Ziyun Huang; Zhen Zhang; Jinhui Xu; Jianxin Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learning-Augmented Clustering; Approximation Algorithm
2970	Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing Authors: Elad Romanov; Fangzhao Zhang; Mert Pilanci Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: parallel and distributed optimization; Newton method; Marchenko-Pastur law; Hessian sketching
2971	Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling Authors: Timothee Leleu; Sam Reifenstein Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Combinatorial optimization; Degenerate ground-state sampling; Metropolis-Hastings algorithm; Chaotic dynamics; Wishart planted ensemble
2972	Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation Authors: Marina Sheshukova; Denis Belomestny; Alain Oliviero Durmus; Eric Moulines; Alexey Naumov; Sergey Samsonov Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic first-order optimization; Richardson-Romberg extrapolation; Polyak-Ruppert averaging
2973	Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping Authors: Zijian Liu; Zhengyuan Zhou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic Optimization; Heavy-Tailed Noises
2974	OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference Authors: Dujian Ding; Bicheng Xu; Laks V. S. Lakshmanan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Efficient ML; Hybrid ML Inference; Classification
2975	OPTAMI: Global Superlinear Convergence of High-order Methods Authors: Dmitry Kamzolov; Artem Agafonov; Dmitry Pasechnyuk; Alexander Gasnikov; Martin Takáč Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Second-order Optimization; High-order Optimization; Cubic Regularised Newton Method; Newton Method; Convex optimization; Superlinear Convergence
2976	Offline Model-Based Optimization by Learning to Rank Authors: Rong-Xi Tan; Ke Xue; Shen-Huan Lyu; Haopu Shang; yaowang; Yaoyuan Wang; Fu Sheng; Chao Qian Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Offline model-based optimization; black-box optimization; learning to rank; learning to optimize
2977	On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime Authors: Hengquan Guo; Xin Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Contextual bandits with knapsacks; small budget
2978	On the Almost Sure Convergence of the Stochastic Three Points Algorithm Authors: Taha EL BAKKALI EL KADI; Omar Saadi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Derivative-free optimization; Zeroth Order optimization; Almost sure convergence; Stochastic Three Points Algorithm.
2979	On the Crucial Role of Initialization for Matrix Factorization Authors: Bingcong Li; Liang Zhang; Aryan Mokhtari; Niao He Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: nonconvex optimization; initialization; quadratic rate; low rank adapter; lora
2980	On the Performance Analysis of Momentum Method: A Frequency Domain Perspective Authors: Xianliang Li; Jun Luo; Zhiwei Zheng; Hanxiao Wang; Li Luo; Lingkun Wen; Linlong Wu; Sheng Xu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Momentum Method; Stochastic Gradient Descent; Z-Transform; Frequency Domain Analysis; Deep Learning
2981	Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction Authors: Liangliang Shi; Yufeng Li; Kaipeng Zeng; Yihui Tu; Junchi Yan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimal Transport; Flow Balance Constraints; Sinkhorn Algorithm; Network Flow Theory
2982	Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling Authors: Yuma Ichikawa; Yamato Arai Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Combinatorial Optimization; Discrete Optimization; Learning for Combinatorial Optimization; Unsupervised Learning for Combinatorial Optimization; Learning for…
2983	Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods Authors: Daniil Vankov; Anton Rodomanov; Angelia Nedich; Lalitha Sankar; Sebastian U Stich Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: $(L_0; L_1)$-smoothness; gradient methods; convex optimization; worst-case complexity bounds; acceleration; Polyak stepsizes; nonconvex optimization
2984	Optimizing Neural Network Representations of Boolean Networks Authors: Joshua Russell; Ignacio Gavier; Devdhar Patel; Edward Rietman; Hava T Siegelmann Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Networks; Boolean Networks; Lossless Optimization; Integer Linear Programming; NPN Classification
2985	Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions Authors: Wei Yao; Haian Yin; Shangzhi Zeng; Jin Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: bilevel optimization; constrained optimization; gap function; single-loop; Hessian-free; convergence analysis
2986	Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization Authors: Zhanfeng Mo; Long-Kai Huang; Sinno Jialin Pan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Network Optimization; Parameter Efficient Pretraining; Low-rank Optimization
2987	Partial Gromov-Wasserstein Metric Authors: Yikun Bai; Rocio Diaz Martin; Abihith Kothapalli; Hengrong Du; Xinran Liu; Soheil Kolouri Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimal transport; Gromov-Wasserstein problem; Unbalanced optimal transport
2988	Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior Authors: Anming Gu; Edward Chien; Kristjan Greenewald Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimal transport; trajectory inference; stochastic calculus; optimization; Langevin dynamics
2989	Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework Authors: Ryan Lucas; Rahul Mazumder Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Network Pruning; Structured Pruning; Optimization; Hessian-free Optimization
2990	Private Mechanism Design via Quantile Estimation Authors: Yuanyuan Yang; Tao Xiao; Bhuvesh Kumar; Jamie Heather Morgenstern Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: online auctions; differential privacy; mechanism design
2991	Quantum (Inspired) $D^2$-sampling with Applications Authors: Poojan Chetan Shah; Ragesh Jaiswal Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: quantum; clustering; k-means++
2992	Rethinking Light Decoder-based Solvers for Vehicle Routing Problems Authors: Ziwei Huang; Jianan Zhou; Zhiguang Cao; Yixin XU Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Combinatorial Optimization; Vehicle Routing Problem; Generalization
2993	Revisiting Large-Scale Non-convex Distributionally Robust Optimization Authors: Qi Zhang; Yi Zhou; Simon Khan; Ashley Prater-Bennette; Lixin Shen; Shaofeng Zou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: distributionally robust optimization; generalized smoothness; non-convex optimization; variance-reduced method
2994	Robustness of Quantum Algorithms for Nonconvex Optimization Authors: Weiyuan Gong; Chenyi Zhang; Tongyang Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Nonconvex optimization; Robustness; Quantum algorithms
2995	SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process Authors: Hanzhen Zhao; Xingyu Xie; Cong Fang; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: efficient training; gradient compression
2996	SGD with memory: fundamental properties and stochastic acceleration Authors: Dmitry Yarotsky; Maksim Velikanov Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic Gradient Descent; SGD; spectral power laws; acceleration; effective learning rate; quadratic problems; stability; Heavy Ball; momentum
2997	SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling Authors: Nikhil Vyas; Depen Morwani; Rosie Zhao; Itai Shapira; David Brandfonbrener; Lucas Janson; Sham M. Kakade Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Shampoo; Adam; Second Order Optimizer
2998	SOREL: A Stochastic Algorithm for Spectral Risks Minimization Authors: Yuze Ge; Rujun Jiang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: spectral risk; conditional Value-at-Risk; stochastic optimization; convex optimization; fair machine learning
2999	Scalable Decentralized Learning with Teleportation Authors: Yuki Takezawa; Sebastian U Stich Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: decentralized learning
3000	Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Authors: Xinsong Feng; Zihan Yu; Yanhai Xiong; Haipeng Chen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Sequential Stochastic Combinatorial Optimization; Hierarchal Reinforcement Learning; Graph
3001	Sharpness-Aware Black-Box Optimization Authors: Feiyang Ye; Yueming Lyu; Xuehao Wang; Masashi Sugiyama; Yu Zhang; Ivor Tsang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Black-box Optimization; Sharpness-Aware Minimization
3002	Sharpness-Aware Minimization: General Analysis and Improved Rates Authors: Dimitris Oikonomou; Nicolas Loizou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Sharpness-Aware Minimization; Convergence Guarantees; Non-Convex Optimization; Generalization in DNNs
3003	Solving hidden monotone variational inequalities with surrogate losses Authors: Ryan D'Orazio; Danilo Vucetic; Zichu Liu; Junhyung Lyle Kim; Ioannis Mitliagkas; Gauthier Gidel Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Variational Inequality; Optimization; Surrogate; Projected Bellman Error; Min-max Optimization
3004	Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance Authors: Dimitris Oikonomou; Nicolas Loizou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic Polyak Step-size; SGD; Stochastic Heavy Ball; Convergence Analysis; Convex Optimization; Momentum
3005	Taming Transformer Without Using Learning Rate Warmup Authors: Xianbiao Qi; Yelin He; Jiaquan Ye; Chun-Guang Li; Bojia Zi; Xili Dai; Qin Zou; Rong Xiao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Transformer; Training Dynamics; Model Crash
3006	The Directionality of Optimization Trajectories in Neural Networks Authors: Sidak Pal Singh; Bobby He; Thomas Hofmann; Bernhard Schölkopf Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; trajectory; redundancy; LLMs; neural networks
3007	The Optimization Landscape of SGD Across the Feature Learning Strength Authors: Alexander Atanasov; Alexandru Meterez; James B Simon; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Feature Learning; Maximal Update Parameterization; Optimization; Edge of Stability; Catapult Effect; Silent Alignment
3008	Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics Authors: Alexander Tyurin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: nonconvex optimization; lower bounds; parallel methods; asynchronous methods; convex optimization
3009	To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions Authors: Noah Marshall; Ke Liang Xiao; Atish Agarwala; Elliot Paquette Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: gradient clipping; high-dimensional probability; stochastic optimization; deep learning theory
3010	Towards Faster Decentralized Stochastic Optimization with Communication Compression Authors: Rustem Islamov; Yuan Gao; Sebastian U Stich Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Decentralized Learning; Federated Learning; Communication Compression
3011	Towards Foundation Models for Mixed Integer Linear Programming Authors: Sirui Li; Janardhan Kulkarni; Ishai Menache; Cathy Wu; Beibin Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Mixed Integer Linear Programming; Large Language Models; Foundation Models; Contrastive Learning; Graph Neural Networks
3012	Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis Authors: Yifan Yang; Hao Ban; Minhui Huang; Shiqian Ma; Kaiyi Ji Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bilevel Optimization; Tuning-Free; Adaptive Optimization
3013	Understanding Optimization in Deep Learning with Central Flows Authors: Jeremy Cohen; Alex Damian; Ameet Talwalkar; J Zico Kolter; Jason D. Lee Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Edge of Stability; Optimization Dynamics; Adaptive Optimizers; RMSProp
3014	Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View Authors: Kaiyue Wen; Zhiyuan Li; Jason S. Wang; David Leo Wright Hall; Percy Liang; Tengyu Ma Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: pretraining; language model; learning rate; loss landscape; manifold
3015	Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos Authors: Dayal Singh Kalra; Tianyu He; Maissam Barkeshli Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Sharpness Dynamics; Catapult Effect; Edge of Stability
3016	Unlocking Global Optimality in Bilevel Optimization: A Pilot Study Authors: Quan Xiao; Tianyi Chen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bilevel optimization; nonconvex optimization; global convergence; linear neural network
3017	Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization Authors: Jianting Yang; Srecko Durasinovic; Jean B. Lasserre; Victor Magron; Jun Zhao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Binary Neural Networks; Sparse Polynomial Optimization; Semidefinite Programming; Robustness Verification
3018	Vertical Federated Learning with Missing Features During Training and Inference Authors: Pedro Valdeira; Shiqiang Wang; Yuejie Chi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Vertical Federated Learning; missing features
3019	When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach Authors: Qian Chen; Lei Li; Qian Li; Jianghua Wu; Akang Wang; Ruoyu Sun; Xiaodong Luo; Tsung-Hui Chang; Qingjiang Shi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: integer linear programming; symmetry; machine learning; graph neural networks
3020	dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation Authors: Emanuele Zangrando; Sara Venturini; Francesco Rinaldi; Francesco Tudisco Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: bilevel optimization; parameter efficient fine-tuning; low-rank
3021	qNBO: quasi-Newton Meets Bilevel Optimization Authors: Sheng Fang; Yongjin Liu; Wei Yao; Chengming Yu; Jin Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: bilevel optimization; quasi-Newton; convergence analysis; Hessian-free
3022	A Formal Framework for Understanding Length Generalization in Transformers Authors: Xinting Huang; Andy Yang; Satwik Bhattamishra; Yash Sarrof; Andreas Krebs; Hattie Zhou; Preetum Nakkiran; Michael Hahn 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; theory; length generalization; expressivity; analysis; algorithmic reasoning; systematic generalization; formal languages; none of the above)
3023	A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation Authors: Huimin Zeng; Xiaojie Wang; Anoop Jain; Zhicheng Dou; Dong 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: sequential recommendation; non-contrastive learning; none of the above)
3024	A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning Authors: Chen-Yu Liu; Chao-Han Huck Yang; Hsi-Sheng Goan; Min-Hsiu Hsieh 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; quantum computing; parameter-efficient fine-tuning; large language model; variational quantum circuits; none of the above)
3025	A Statistical Approach for Controlled Training Data Detection Authors: Zirui Hu; Yingjie Wang; Zheng Zhang; Hong Chen; 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: Large language models; Training data detection; Knockoffs; none of the above)
3026	A Theory of Initialisation's Impact on Specialisation Authors: Devon Jarvis; Sebastian Lee; Clémentine Carla Juliette Dominé; Andrew M Saxe; Stefano Sarao Mannelli 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 theory; teacher student setup; initialisation; specialisation; statitistical mechanics of learning; none of the above)
3027	A Truncated Newton Method for Optimal Transport Authors: Mete Kemertas; Amir-massoud Farahmand; Allan Douglas Jepson 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: Computational optimal transport; numerical optimization; numerical linear algebra; none of the above)
3028	Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes Authors: Haotian Wu; Gongpu Chen; Deniz Gunduz 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: Markov Decision Process; Channel coding; Rate-Reward Trade-off; Finite state channel; none of the above)
3029	Adaptive Energy Alignment for Accelerating Test-Time Adaptation Authors: Wonjeong Choi; Do-Yeon Kim; Jungwuk Park; Jungmoon Lee; Younghyun Park; Dong-Jun Han; Jaekyun Moon 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: Test-Time Adaptation (TTA); Out-of-domain (OOD); Energy-based Model (EBM); none of the above)
3030	Adaptive Pruning of Pretrained Transformer via Differential Inclusions Authors: Yizhuo Ding; Ke Fan; Yikai Wang; Xinwei Sun; Yanwei Fu 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; Sparse optimization.; none of the above)
3031	Addressing Label Shift in Distributed Learning via Entropy Regularization​ Authors: Zhiyuan Wu; Changkyu Choi; Xiangcheng Cao; Volkan Cevher; Ali Ramezani-Kebrya 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: label shifts; entropy-based regularization; distributed learning; none of the above)
3032	Adversarial Mixup Unlearning Authors: Zhuoyi PENG; 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: Machine Unlearning; Catastrophic Unlearning; Mixup Regularization; Adversarial Training; none of the above)
3033	Agent-Oriented Planning in Multi-Agent Systems Authors: Ao Li; Yuexiang Xie; Songze Li; Fugee Tsung; Bolin Ding; Yaliang 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: Multi-Agent System; Planning; none of the above)
3034	AgentRefine: Enhancing Agent Generalization through Refinement Tuning Authors: Dayuan Fu; Keqing He; Yejie Wang; Wentao Hong; Zhuoma GongQue; Weihao Zeng; Wei Wang; Jingang Wang; Xunliang Cai; Weiran 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: agent; self-refine; diversity; generalization; data synthesis; none of the above)
3035	An Empirical Analysis of Uncertainty in Large Language Model Evaluations Authors: Qiujie Xie; Qingqiu Li; Zhuohao Yu; Yuejie Zhang; Yue Zhang; Linyi 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: Large Language Model; Model-based LLM Evaluation; LLM-as-a-Judge; none of the above)
3036	Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods Authors: Akira Ito; Masanori Yamada; 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: linear mode connectivity; deep learning; permutation symmetry; none of the above)
3037	AnoLLM: Large Language Models for Tabular Anomaly Detection Authors: Che-Ping Tsai; Ganyu Teng; Phillip Wallis; Wei Ding 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: Anomaly detection; tabular data; large language models; none of the above)
3038	Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming Authors: Haoyang Liu; Jie Wang; Zijie Geng; Xijun Li; Yuxuan Zong; Fangzhou Zhu; Jianye HAO; Feng Wu 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; Learning to Optimize; none of the above)
3039	AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution Authors: Yun Zhang; Wei Li; Simiao Li; Hanting Chen; Zhijun Tu; Bingyi Jing; Shaohui Lin; Jie Hu; Wenjia 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: Image Super-Resolution; Knowledge Distillation; Model Compression; none of the above)
3040	Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models Authors: Fusheng Liu; Qianxiao 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: State Space Model; Optimization; none of the above)
3041	B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Authors: Weihao Zeng; Yuzhen Huang; Lulu Zhao; Yijun Wang; Zifei Shan; 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: large language models; self-improvement; complex reasoning; none of the above)
3042	BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts Authors: Divya Jyoti Bajpai; Manjesh Kumar Hanawal 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: Early Exits; Expert-based exiting; none of the above)
3043	Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression Authors: Jingcun Wang; Yu-Guang Chen; Ing-Chao Lin; Bing Li; Grace Li 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: Cross Layer Parameter Sharing in LLMs; LLM Compression with SVD; none of the above)
3044	Beware of Calibration Data for Pruning Large Language Models Authors: Yixin Ji; Yang Xiang; Juntao Li; Qingrong Xia; Ping Li; Xinyu Duan; Zhefeng Wang; Min 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: calibration data; post-training pruning; large language models; none of the above)
3045	Beyond Worst-Case Dimensionality Reduction for Sparse Vectors Authors: Sandeep Silwal; David Woodruff; 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: dimensionality reduction; sparsity; johnson lindenstrauss; none of the above)
3046	BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments Authors: Xinghao Wang; Pengyu Wang; Bo Wang; Dong Zhang; Yunhua Zhou; Xipeng Qiu 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; compression; decomposition; none of the above)
3047	Boosting Methods for Interval-censored Data with Regression and Classification Authors: Yuan Bian; Grace Yi; Wenqing 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: Boosting; Functional gradient descent; Interval-censored data; Minimax error rate; Nonparametric classification; Nonparametric regression; Smoothing spline; no…
3048	Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator Authors: Xin Zhang; Jiawei Du; Ping Liu; Joey Tianyi 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: Dataset distillation; inter-class feature compensator (INFER); none of the above)
3049	Breaking Neural Network Scaling Laws with Modularity Authors: Akhilan Boopathy; Sunshine Jiang; William Yue; Jaedong Hwang; Abhiram Iyer; Ila R Fiete 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: scaling laws; modularity; neural network; generalization; compositionality; combinatorial generalization; none of the above)
3050	Calibrating Expressions of Certainty Authors: Peiqi Wang; Barbara D. Lam; Yingcheng Liu; Ameneh Asgari-Targhi; Rameswar Panda; William M Wells; Tina Kapur; Polina Golland 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; uncertainty; optimal transport; language models; none of the above)
3051	ComLoRA: A Competitive Learning Approach for Enhancing LoRA Authors: Qiushi Huang; Tom Ko; Lilian Tang; Yu 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: Parametric-efficient fine-tuning; none of the above)
3052	Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement Authors: Yuhang Li; Zhuying Li; Yuheng Jia 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: Complementary label learning; negative label enhancement; weakly supervised learning; none of the above)
3053	CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes Authors: Seong-Joon 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: Cross-attention; Error correcting codes; Message-passing decoder; Neural decoder; Transformer; none of the above)
3054	CycleResearcher: Improving Automated Research via Automated Review Authors: Yixuan Weng; Minjun Zhu; Guangsheng Bao; Hongbo Zhang; Jindong Wang; Yue Zhang; Linyi 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: Large Language Models; Automation of Scientific Discovery; AI Scientist; none of the above)
3055	DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle Authors: Lichuan Xiang; Quan Nguyen-Tri; Lan-Cuong Nguyen; Hoang Pham; Khoat Than; Long Tran-Thanh; Hongkai Wen 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: Prunning at Initialization; Sparsity; Neural Architecture Search; none of the above)
3056	DeciMamba: Exploring the Length Extrapolation Potential of Mamba Authors: Assaf Ben-Kish; Itamar Zimerman; Shady Abu-Hussein; Nadav Cohen; Amir Globerson; Lior Wolf; Raja Giryes 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; Long context; Context extension; Long-range language modeling; none of the above)
3057	Distilling Dataset into Neural Field Authors: Donghyeok Shin; HeeSun Bae; Gyuwon Sim; Wanmo Kang; Il-chul Moon 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; Dataset condensation; Neural field; none of the above)
3058	Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games Authors: Runyu Lu; 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: partially observable stochastic game; Nash distribution; divergence regularization; hypomonotonicity; last-iterate convergence; Nash equilibrium; none of the a…
3059	Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models Authors: Shaotian Yan; Chen Shen; Wenxiao Wang; Liang Xie; Junjie Liu; Jieping 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: chain-of-thought; reasoning; large language models; none of the above)
3060	Doubly robust identification of treatment effects from multiple environments Authors: Piersilvio De Bartolomeis; Julia Kostin; Javier Abad; Yixin Wang; Fanny 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: treatment effect; confounding; heterogenous data; causality; causal inference; unobserved variables; post-treatment variables; collider bias; none of the above)
3061	Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models Authors: Yongxin Guo; Zhenglin Cheng; Xiaoying Tang; Zhaopeng Tu; 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: Mixture of Experts; Transformer Model; none of the above)
3062	ELFS: Label-Free Coreset Selection with Proxy Training Dynamics Authors: Haizhong Zheng; Elisa Tsai; Yifu Lu; Jiachen Sun; Brian R. Bartoldson; Bhavya Kailkhura; Atul Prakash 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: Coreset Selection; Data pruning; Label free coreset selection; none of the above)
3063	Efficient Inference for Large Language Model-based Generative Recommendation Authors: Xinyu Lin; Chaoqun Yang; Wenjie Wang; Yongqi Li; Cunxiao Du; Fuli Feng; See-Kiong Ng; Tat-Seng Chua 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 Recommendation; Speculative Decoding; Decoding Acceleration; none of the above)
3064	Efficient Learning with Sine-Activated Low-Rank Matrices Authors: Yiping Ji; Hemanth Saratchandran; Cameron Gordon; Zeyu Zhang; 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: parameter efficient learning; low rank matrices; none of the above)
3065	Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games Authors: Boning Li; Longbo 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: Game Theory; Imperfect Information Games; Counterfactual Regret Minimization; Poker; Machine Learning; none of the above)
3066	Eliciting Human Preferences with Language Models Authors: Belinda Z. Li; Alex Tamkin; Noah Goodman; Jacob Andreas 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: question asking; preference elicitation; language models; evaluation; human studies; none of the above)
3067	Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies Authors: Yongxin Guo; Xiaoying Tang; 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: Federated Learning; Clustering; none of the above)
3068	Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning Authors: Jingyuan Zhang; Yiyang Duan; Shuaicheng Niu; YANG CAO; Wei Yang Bryan Lim 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; Federated Domain Adaptation; Federated Fine-Tuning; none of the above)
3069	Equivariant Neural Functional Networks for Transformers Authors: Hoang V. Tran; Thieu Vo; An Nguyen The; Tho Tran Huu; Minh-Khoi Nguyen-Nhat; Thanh Tran; Duy-Tung Pham; Tan Minh Nguyen 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 functional network; transformer; maximal symmetric group; equivariant model; dataset; none of the above)
3070	Event-Driven Online Vertical Federated Learning Authors: Ganyu Wang; Boyu Wang; Bin Gu; Charles Ling 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: Vertical Federated Learning; Online Learning; Event Driven; none of the above)
3071	Expected Sliced Transport Plans Authors: Xinran Liu; Rocio Diaz Martin; Yikun Bai; Ashkan Shahbazi; Matthew Thorpe; Akram Aldroubi; Soheil Kolouri 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; Transportation Plan; Probability Metrics; none of the above)
3072	Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks Authors: Sabrina Herbst; Sandeep Suresh Cranganore; Vincenzo De Maio; Ivona Brandić 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; Quantum Neural Network; none of the above)
3073	Fast Summation of Radial Kernels via QMC Slicing Authors: Johannes Hertrich; Tim Jahn; Michael Quellmalz 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: fast kernel summation; slicing; quasi-Monte Carlo; non-equispaced fast Fourier transforms; random Fourier features; none of the above)
3074	FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Authors: Changlong Shi; Jinmeng Li; He Zhao; Dan dan Guo; Yi Chang 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 aggregation; Deep neural networks; Machine learning; none of the above)
3075	FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine Authors: Shannon How Shi Qi; Jagmohan Chauhan; Geoff V. Merrett; Jonathon Hare 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: Efficient Federated Learning; One Shot Federated Learning; Tsetlin Machine; none of the above)
3076	Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Authors: Milad Khademi Nori; IL MIN KIM; Guanghui 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: Class-Incremental Learning; Federated Learning; Global Forgetting; Local Forgetting.; none of the above)
3077	Federated Domain Generalization with Data-free On-server Matching Gradient Authors: Trong Binh Nguyen; Duong Minh Nguyen; Jinsun Park; Viet Quoc Pham; Won-Joo Hwang 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 Generalization; none of the above)
3078	Find A Winning Sign: Sign Is All We Need to Win the Lottery Authors: Junghun Oh; Sungyong Baik; Kyoung Mu 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: lottery ticket hypothesis; network pruning; linear mode connectivity; none of the above)
3079	Generalizing Reasoning Problems to Longer Lengths Authors: Changnan Xiao; Bing 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: length generalization; learning to reason; length extrapolation; none of the above)
3080	Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits Authors: Yuwei Luo; Mohsen Bayati 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: Linear bandit; Thompson sampling; Greedy; Data-driven exploration; none of the above)
3081	Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information Authors: Xinhao Zhong; Bin Chen; Hao Fang; Xulin Gu; Shu-Tao Xia; EN-HUI 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: dataset distillation; conditional mutual information; none of the above)
3082	Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems Authors: Jie 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: General-purpose preconditioner; linear systems; graph neural networks; none of the above)
3083	HOPE for a Robust Parameterization of Long-memory State Space Models Authors: Annan Yu; Michael W. Mahoney; N. Benjamin Erichson 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; sequence modeling; Long-Range Arena; long memory; none of the above)
3084	Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint Authors: Harshit Kumar; Beomseok Kang; Biswadeep Chakraborty; 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: evaluation; deep neural network; stochasticity; complex systems; forecasting; none of the above)
3085	HeadMap: Locating and Enhancing Knowledge Circuits in LLMs Authors: Xuehao Wang; Liyuan Wang; Binghuai Lin; Yu 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: Large Language Model; Parameter-Efficient Fine-Tuning; Interpretability; none of the above)
3086	Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach Authors: Sinan Fan; Liang Xie; Chen Shen; Ge Teng; Xiaosong Yuan; Xiaofeng Zhang; Chenxi Huang; Wenxiao Wang; Xiaofei He; Jieping 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: prompt tuning; corruption; information flow; none of the above)
3087	Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis Authors: Luofeng Liao; Christian Kroer; Sergei Leonenkov; Okke Schrijvers; Liang Shi; Nicolas Stier Moses; Congshan 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: First-price auctions; Pacing equilibrium; interference bias; none of the above)
3088	LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models Authors: Junru Song; Yang Yang; Huan Xiao; Wei Peng; Wen Yao; Feifei 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: Robot Design Automation; Large Language Model; Voxel-Based Soft Robot; none of the above)
3089	LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid Authors: Tianyi Zhang; Anshumali Shrivastava 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 model; quantization; none of the above)
3090	Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling Authors: Yuwei Cheng; Fan Yao; Xuefeng Liu; Haifeng 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: online learning; dueling bandit; none of the above)
3091	Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs Authors: Rui Dai; Sile Hu; Xu Shen; Yonggang Zhang; Xinmei Tian; Jieping 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: Large Language model; Task Arithmetic; none of the above)
3092	MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Authors: Lu Li; Tianyu Zhang; Zhiqi Bu; Suyuchen Wang; Huan He; Jie Fu; Yonghui Wu; Jiang Bian; Yong Chen; Yoshua Bengio 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; transfer learning; multitask learning; task arithmetic; multi-objective optimization; none of the above)
3093	MCNC: Manifold-Constrained Reparameterization for Neural Compression Authors: Chayne Thrash; Reed Andreas; Ali Abbasi; Parsa Nooralinejad; Soroush Abbasi Koohpayegani; Hamed Pirsiavash; Soheil Kolouri 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 Compression; LoRA; PEFT; Transformers; ViT; none of the above)
3094	MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models Authors: Jiachun Li; Pengfei Cao; Zhuoran Jin; Yubo Chen; Kang Liu; Jun 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: inductive reasoning; large language model; model explanation; none of the above)
3095	MTSAM: Multi-Task Fine-Tuning for Segment Anything Model Authors: Xuehao Wang; Zhan Zhuang; Feiyang Ye; Yu 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: Multi-task learning; segment anything model; low-rank adaptation; none of the above)
3096	Machine Unlearning via Simulated Oracle Matching Authors: Kristian Georgiev; Roy Rinberg; Sung Min Park; Shivam Garg; Andrew Ilyas; Aleksander Madry; Seth Neel 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; data attribution; training data attribution; privacy; none of the above)
3097	MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory Authors: Junyeong Park; Junmo Cho; Sungjin Ahn 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: Generalist Agents; Minecraft; Place Event Memory; none of the above)
3098	MuHBoost: Multi-Label Boosting For Practical Longitudinal Human Behavior Modeling Authors: Nguyen T Thach; Patrick Habecker; Anika R. Eisenbraun; W. Alex Mason; Kimberly A. Tyler; Bilal Khan; Hau Chan 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: AI for Public Health; large language models; heterogeneous time-series classification; multi-label classification; none of the above)
3099	Needle Threading: Can LLMs Follow Threads Through Near-Million-Scale Haystacks? Authors: Jonathan Roberts; Kai Han; Samuel Albanie 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: LLMs; Long Context; Evaluation; none of the above)
3100	Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion Authors: Jinbiao Chen; Jiahai Wang; Zhiguang Cao; Yaoxin Wu 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 Multi-Objective Combinatorial Optimization; Multimodal Fusion; Deep Reinforcement Learning; none of the above)
3101	Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning Authors: Xiaorui Peng; Yuheng Jia; Fuchao Yang; Ran Wang; Min-Ling 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: partial label learning; weakly supervised learning; noisy partial label learning; none of the above)
3102	One for all and all for one: Efficient computation of partial Wasserstein distances on the line Authors: Laetitia Chapel; Romain Tavenard 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; Partial Optimal Transport; Sliced Partial Optimal Transport; none of the above)
3103	Operator Deep Smoothing for Implied Volatility Authors: Ruben Wiedemann; Antoine Jacquier; Lukas Gonon 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: Financial Engineering; Neural Operators; Option Pricing; Function Interpolation; Nowcasting; none of the above)
3104	Optimal Protocols for Continual Learning via Statistical Physics and Control Theory Authors: Francesco Mori; Stefano Sarao Mannelli; Francesca Mignacco 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 theory; statistical physics; online learning; continual learning; optimal control theory; none of the above)
3105	Optimality of Matrix Mechanism on $\ell_p^p$-metric Authors: Zongrui Zou; Jingcheng Liu; Jalaj Upadhyay 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: differential privacy; none of the above)
3106	Optimizing importance weighting in the presence of sub-population shifts Authors: Floris Holstege; Bram Wouters; Noud Van Giersbergen; Cees Diks 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: Importance weighting; Distribution shift; Group Robustness; Bi-level optimization; none of the above)
3107	Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization Authors: Yuanchao Wang; Zhao-Rong Lai; Tianqi Zhong 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 generalization; total variation; invariant risk minimization; primal-dual optimization; none of the above)
3108	P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS Authors: 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: Spiking Neural Networks; Sequence Learning; none of the above)
3109	PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer Authors: Pierre-David Letourneau; Manish Kumar Singh; Hsin-Pai Cheng; Shizhong Han; Yunxiao Shi; Dalton Jones; Matthew Harper Langston; Hong Cai; Fatih Porikli 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: Efficient Vision Transformer; Attention Approximation; Computer Vision; Deep Learning; none of the above)
3110	Palu: KV-Cache Compression with Low-Rank Projection Authors: Chi-Chih Chang; Wei-Cheng Lin; Chien-Yu Lin; Chong-Yan Chen; Yu-Fang Hu; Pei-Shuo Wang; Ning-Chi Huang; Luis Ceze; Mohamed S. Abdelfattah; Kai-Chiang Wu 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; Low-Rank Compression; Large Language Model; none of the above)
3111	ParFam – (Neural Guided) Symbolic Regression via Continuous Global Optimization Authors: Philipp Scholl; Katharina Bieker; Hillary Hauger; 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: symbolic regression; continuous optimization; expressivity; transformers; supervised learning; none of the above)
3112	ParetoFlow: Guided Flows in Multi-Objective Optimization Authors: Ye Yuan; Can Chen; Christopher Pal; 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: Multi-objective optimization; flow matching; classifier guidance.; none of the above)
3113	PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches Authors: Rana Shahroz; Pingzhi Li; Sukwon Yun; Zhenyu Wang; Shahriar Nirjon; Chau-Wai Wong; Tianlong 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: Large Language Models; NLP; Efficiency; Fine-tuning; Efficient Fine-tuning; Portability; none of the above)
3114	Preference Diffusion for Recommendation Authors: Shuo Liu; An Zhang; Guoqing Hu; Hong Qian; Tat-Seng Chua 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，Diffusion Model; none of the above)
3115	Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing Authors: Qi Le; Enmao Diao; Ziyan Wang; Xinran Wang; Jie Ding; Li Yang; Ali 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: Large Lanuage Model Pruning; Probe Pruning; none of the above)
3116	Probing the Latent Hierarchical Structure of Data via Diffusion Models Authors: Antonio Sclocchi; Alessandro Favero; Noam Itzhak Levi; Matthieu Wyart 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 structure; hierarchical compositionality; diffusion models; statistical physics; phase transition; none of the above)
3117	Process Reward Model with Q-value Rankings Authors: Wendi Li; Yixuan 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: process reward model; reasoning; none of the above)
3118	Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation Authors: Abhishek Aich; Yumin Suh; Samuel Schulter; Manmohan Chandraker 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: universal segmentation; efficient transformers; none of the above)
3119	Protecting against simultaneous data poisoning attacks Authors: Neel Alex; Shoaib Ahmed Siddiqui; Amartya Sanyal; David Krueger 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: backdoors; backdoor defenses; data poisoning; none of the above)
3120	Quamba: A Post-Training Quantization Recipe for Selective State Space Models Authors: Hung-Yueh Chiang; Chi-Chih Chang; Natalia Frumkin; Kai-Chiang Wu; Diana Marculescu 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; Model quantization; none of the above)
3121	Re-evaluating Open-ended Evaluation of Large Language Models Authors: Siqi Liu; Ian Gemp; Luke Marris; Georgios Piliouras; Nicolas Heess; Marc Lanctot 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: Evaluation; Game Theory; Large Language Model; Equilibrium; Open-Ended; none of the above)
3122	ReMatching Dynamic Reconstruction Flow Authors: Sara Oblak; Despoina Paschalidou; Sanja Fidler; Matan Atzmon 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 Reconstruction; Flow Modeling; Gaussian Splatting; Novel view synthesis; none of the above)
3123	Regularizing Energy among Training Samples for Out-of-Distribution Generalization Authors: Yiting Chen; Qitian Wu; Junchi 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: Energy based model; OOD generalization; Long-tail Recognition; none of the above)
3124	Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding Authors: Jinbiao Chen; Zhiguang Cao; Jiahai Wang; Yaoxin Wu; Hanzhang Qin; Zizhen Zhang; Yue-Jiao Gong 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 Multi-Objective Combinatorial Optimization; Weight Embedding; Conditional Attention; none of the above)
3125	SAVA: Scalable Learning-Agnostic Data Valuation Authors: Samuel Kessler; Tam Le; Vu Nguyen 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 Valuation; Optimal Transport; Data Selection; Active Learning; none of the above)
3126	SLMRec: Distilling Large Language Models into Small for Sequential Recommendation Authors: Wujiang Xu; Qitian Wu; Zujie Liang; Jiaojiao Han; Xuying Ning; Yunxiao Shi; Wenfang Lin; Yongfeng 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: Large Language Models; Knowledge Distillation; none of the above)
3127	SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs Authors: Mohammad Mozaffari; Amir Yazdanbakhsh; Zhao Zhang; Maryam Mehri Dehnavi 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 training; low rank adapter; LLM; optimization; none of the above)
3128	STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning Authors: Xiaoyu Zhang; Juan Zhai; Shiqing Ma; Chao Shen; Tianlin Li; Weipeng Jiang; Yang 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: Task-specific fine-tuning; coreset selection; speculative execution; none of the above)
3129	Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks Authors: Hanling Tian; Yuhang Liu; Mingzhen He; Zhengbao He; Zhehao Huang; Ruikai Yang; 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: Dataset reconstruction; Training dynamics; Memorization; none of the above)
3130	Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale Authors: Alaa Khaddaj; Logan Engstrom; Aleksander Madry 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 attribution; none of the above)
3131	Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Authors: Chenyu Zhang; Xu Chen; Xuan Di 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: mean field game; linear function approximation; stochastic semi-gradient descent; none of the above)
3132	Strength Estimation and Human-Like Strength Adjustment in Games Authors: Chun Jung Chen; Chung-Chin Shih; Ti-Rong Wu 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: Bradley-Terry Model; Strength Estimation; Strength Adjustment; Human-like Playing Style; Monte-Carlo Tree Search; Go; Chess; none of the above)
3133	Structural-Entropy-Based Sample Selection for Efficient and Effective Learning Authors: Tianchi Xie; Jiangning Zhu; Guozu Ma; Minzhi Lin; Wei Chen; Weikai Yang; Shixia 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: Sample selection; graph; structural entropy; blue noise sampling; none of the above)
3134	TabM: Advancing tabular deep learning with parameter-efficient ensembling Authors: Yury Gorishniy; Akim Kotelnikov; Artem Babenko 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; tabular data; deep learning; architecture; none of the above)
3135	The Ramanujan Library - Automated Discovery on the Hypergraph of Integer Relations Authors: Itay Beit Halachmi; Ido Kaminer 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: Continued Fractions; Mathematical Constants; Integer Relations; Experimental Mathematics; Riemann Zeta Function; Irrational Number; PSLQ; AI In Mathematics; Au…
3136	Theory, Analysis, and Best Practices for Sigmoid Self-Attention Authors: Jason Ramapuram; Federico Danieli; Eeshan Gunesh Dhekane; Floris Weers; Dan Busbridge; Pierre Ablin; Tatiana Likhomanenko; Jagrit Digani; Zijin Gu; Amitis Shidani; Russell Webb 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: Sigmoid Attention; Pointwise Attention; Universal Function Approximators; none of the above)
3137	TimeInf: Time Series Data Contribution via Influence Functions Authors: Yizi Zhang; Jingyan Shen; Xiaoxue Xiong; Yongchan Kwon 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 Data Contribution; Time Series Anomaly Detection; none of the above)
3138	Towards Federated RLHF with Aggregated Client Preference for LLMs Authors: Feijie Wu; Xiaoze Liu; Haoyu Wang; Xingchen Wang; Lu Su; Jing 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: Federated learning; RLHF; LLM; none of the above)
3139	Towards Scalable Topological Regularizers Authors: Wong Hiu Tung; Darrick Lee; Hong 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: topological data analysis; persistent homology; generative adversarial network; latent space matching; none of the above)
3140	Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It Authors: Guoxuan Xia; Olivier Laurent; Gianni Franchi; Christos-Savvas Bouganis 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: Uncertainty Estimation; Selective Classification; Label Smoothing; none of the above)
3141	Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity Authors: Jiachen Jiang; Jinxin Zhou; Zhihui 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: Representation Similarity; Saturation Event; Early Exit; none of the above)
3142	Trusted Multi-View Classification via Evolutionary Multi-View Fusion Authors: Xinyan Liang; Pinhan Fu; Yuhua Qian; Qian Guo; Guoqing 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: Trusted multi-view classification; NAS-based multi-view classification; evolutionary multi-view fusion; multi-view learning; none of the above)
3143	Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization Authors: Vladimír Boža; Vladimír Macko 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 factorization; pruning; none of the above)
3144	Uncertainty Herding: One Active Learning Method for All Label Budgets Authors: Wonho Bae; Danica J. Sutherland; Gabriel L. Oliveira 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; none of the above)
3145	Unlocking the Potential of Model Calibration in Federated Learning Authors: Yun-Wei Chu; Dong-Jun Han; Seyyedali Hosseinalipour; Christopher Brinton 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 Calibration; none of the above)
3146	Zero-cost Proxy for Adversarial Robustness Evaluation Authors: Yuqi Feng; Yuwei Ou; Jiahao Fan; Yanan Sun 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 Architecture Search; Adversarial Robustness; Zero-cost Proxy; none of the above)
3147	Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity Authors: Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu; Xinyu Yang; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; 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: Zeroth-order optimization; LLM fine-tuning; none of the above)
3148	A Meta-Learning Approach to Bayesian Causal Discovery Authors: Anish Dhir; Matthew Ashman; James Requeima; Mark van der Wilk 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 causal discovery; transformers; variational inference; sampling; UQ; etc.)
3149	Action abstractions for amortized sampling Authors: Oussama Boussif; Lena Nehale Ezzine; Joseph D Viviano; Michał Koziarski; Moksh Jain; Nikolay Malkin; Emmanuel Bengio; Rim Assouel; 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: GFlowNets; amortized samplers; hierarchical planning; abstractions; macro-actions; variational inference; sampling; UQ; etc.)
3150	Adaptive teachers for amortized samplers Authors: Minsu Kim; Sanghyeok Choi; Taeyoung Yun; Emmanuel Bengio; Leo Feng; Jarrid Rector-Brooks; Sungsoo Ahn; Jinkyoo Park; Nikolay Malkin; 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: amortized inference; generative models; reinforcement learning; GFlowNets; variational inference; sampling; UQ; etc.)
3151	Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence Authors: Dharmesh Tailor; Alvaro Correia; Eric Nalisnick; Christos Louizos 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; laplace; influence; neural network; deep learning; uncertainty; variational inference; sampling; UQ; etc.)
3152	Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior Authors: Yuliang Xu; Jian Kang Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Brain fMRI Image; Variational Inference; Scalar-on-Image Regression; Image-on-Scalar Regression; variational inference; sampling; UQ; etc.)
3153	Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space Authors: Mengjing Wu; Junyu Xuan; Jie Lu 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; functional variational inference; functional MCMC; variational inference; sampling; UQ; etc.)
3154	CBMA: Improving Conformal Prediction through Bayesian Model Averaging Authors: Pankaj Bhagwat; Linglong Kong; Bei Jiang 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 framework; Conformal prediction; Model uncertainty; Uncertainty quantification; variational inference; sampling; UQ; etc.)
3155	Calibrating LLMs with Information-Theoretic Evidential Deep Learning Authors: Yawei Li; David Rügamer; Bernd Bischl; Mina Rezaei Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: evidential deep learning; information bottleneck; calibration; large language models; variational inference; sampling; UQ; etc.)
3156	Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective Authors: Andrew Jesson; Nicolas Beltran-Velez; David Blei 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; Bayesian; in-context learning; generalization; model checking; variational inference; sampling; UQ; etc.)
3157	Compositional simulation-based inference for time series Authors: Manuel Gloeckler; Shoji Toyota; Kenji Fukumizu; Jakob H. Macke 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; Bayesian inference; time series; markovian simulators; Amortized Bayesian inference; variational inference; sampling; UQ; etc.)
3158	Conditional Testing based on Localized Conformal $p$-values Authors: Xiaoyang Wu; Lin Lu; Zhaojun Wang; 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: Conditional testing; Conformal inference; False discovery rate; Family-wise error rate; U-statistic.; variational inference; sampling; UQ; etc.)
3159	Conformal Structured Prediction Authors: Botong Zhang; Shuo Li; Osbert Bastani 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; Structured Prediction; Integer Programming; variational inference; sampling; UQ; etc.)
3160	Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback Authors: Michelle D Zhao; Henny Admoni; Reid Simmons; Aaditya Ramdas; Andrea Bajcsy 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; interactive imitation learning; variational inference; sampling; UQ; etc.)
3161	Conformalized Survival Analysis for General Right-Censored Data Authors: Hen Davidov; Shai Feldman; Gil Shamai; Ron Kimmel; 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; survival analysis; PAC; covariate shift; uncertainty quantification; variational inference; sampling; UQ; etc.)
3162	Connecting Federated ADMM to Bayes Authors: Siddharth Swaroop; Mohammad Emtiyaz Khan; Finale Doshi-Velez Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: federated learning; bayesian; variational inference; admm; variational inference; sampling; UQ; etc.)
3163	Counterfactual Generative Modeling with Variational Causal Inference Authors: Yulun Wu; Louis McConnell; Claudia Iriondo 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 probabilistic modeling; bayesian networks; variational inference; causal inference; counterfactual generative modeling; causal machine learning; deep unsu…
3164	Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies Authors: Sijin Chen; Omar Hagrass; Jason Matthew Klusowski Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: decoding strategy; text generation; sampling; optimality; game theory; robust optimization; implicit regularization; sparsity; variational inference; sampling;…
3165	Deep Kernel Posterior Learning under Infinite Variance Prior Weights Authors: Jorge Loria; Anindya Bhadra Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Kernel methods; Deep Gaussian processes; Infinite variance priors; Deep Bayesian neural networks; variational inference; sampling; UQ; etc.)
3166	Deep Random Features for Scalable Interpolation of Spatiotemporal Data Authors: Weibin Chen; Azhir Mahmood; Michel Tsamados; So Takao 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; Deep Gaussian Processes; Bayesian Deep Learning; Remote Sensing; variational inference; sampling; UQ; etc.)
3167	Dimension Agnostic Neural Processes Authors: Hyungi Lee; Chaeyun Jang; Dong Bok Lee; Juho Lee 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; varying dimension; regression; bayesian optimization; variational inference; sampling; UQ; etc.)
3168	Distribution-Free Data Uncertainty for Neural Network Regression Authors: Domokos M. Kelen; Ádám Jung; Péter Kersch; Andras A Benczur 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; uncertainty quantification; regression uncertainty; aleatoric uncertainty; scoring rules; continuous ranked probability score; variational infer…
3169	ELBOing Stein: Variational Bayes with Stein Mixture Inference Authors: Ola Rønning; Eric Nalisnick; Christophe Ley; Padhraic Smyth; Thomas Hamelryck 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 Bayes; particle-based inference; mixture models; variational inference; sampling; UQ; etc.)
3170	End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler Authors: Denis Blessing; Xiaogang Jia; 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: Variational Inference; Sampling; Diffusion Models; Mixture Models; variational inference; sampling; UQ; etc.)
3171	Extendable and Iterative Structure Learning Strategy for Bayesian Networks Authors: Hamid Kalantari; Russell Greiner; Pouria Ramazi Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Structure learning; Bayesian networks; Causal discovery; variational inference; sampling; UQ; etc.)
3172	Flow-based Variational Mutual Information: Fast and Flexible Approximations Authors: Caleb Dahlke; Jason Pacheco Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Mutual Information; Variational Methods; Normalizing Flows; Bayesian Optimal Experimental Design; variational inference; sampling; UQ; etc.)
3173	From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation Authors: Nikita Kotelevskii; Vladimir Kondratyev; Martin Takáč; Eric Moulines; 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: Uncertainty quantification; Bayesian methods; Statistics; variational inference; sampling; UQ; etc.)
3174	Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems Authors: Dan MacKinlay; Russell Tsuchida; Daniel Edward Pagendam; Petra Kuhnert Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: factor graph; data assimilation; ensemble kalman filter; gaussian belief propagation; geospatial; probabilistic graphical model; hierarchical model; variationa…
3175	Generalization and Distributed Learning of GFlowNets Authors: Tiago Silva; Amauri H Souza; Omar Rivasplata; Vikas Garg; Samuel Kaski; Diego Mesquita Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: GFlowNets; variational inference; sampling; UQ; etc.)
3176	Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging Authors: Xiaoling Hu; Karthik Gopinath; Peirong Liu; Malte Hoffmann; Koen Van Leemput; Oula Puonti; Juan Eugenio Iglesias Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Image registration; uncertainty estimation; medical image analysis; variational inference; sampling; UQ; etc.)
3177	Identifiability for Gaussian Processes with Holomorphic Kernels Authors: Ameer Qaqish; Didong Li Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Equivalence of Gaussian random measure; kernel parameters; periodicity; identifiability; interpretability; variational inference; sampling; UQ; etc.)
3178	Improving Uncertainty Estimation through Semantically Diverse Language Generation Authors: Lukas Aichberger; Kajetan Schweighofer; Mykyta Ielanskyi; 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; semantic uncertainty; aleatoric uncertainty; semantic entropy; mc estimation; importance sampling; vari…
3179	Injective flows for star-like manifolds Authors: Marcello Massimo Negri; Jonathan Aellen; Volker 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: Normalizing Flows; Injective Flows; Bayesian Inference; Variational Inference; Objective Bayes; variational inference; sampling; UQ; etc.)
3180	Kernel-based Optimally Weighted Conformal Time-Series Prediction Authors: Jonghyeok 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; Nonparametric kernel regression; Time series; variational inference; sampling; UQ; etc.)
3181	Laplace Sample Information: Data Informativeness Through a Bayesian Lens Authors: Johannes Kaiser; Kristian Schwethelm; Daniel Rueckert; Georgios Kaissis Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Sample informativeness; Sample Information; Sample Difficulty; Long-tailed distribution; Leave-one-out retraining; KL Divergence; variational inference; sampli…
3182	Learned Reference-based Diffusion Sampler for multi-modal distributions Authors: Maxence Noble; Louis Grenioux; Marylou Gabrié; Alain Oliviero Durmus 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 from multi-modal densities; diffusion models; variational inference; stochastic optimal control; multi-level energy-based models; variational inferenc…
3183	Leave-One-Out Stable Conformal Prediction Authors: Kiljae Lee; Yuan 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: Conformal Prediction; Algorithmic Stability; Regularized Loss Minimization; Stochastic Gradient Descent; variational inference; sampling; UQ; etc.)
3184	Long-time asymptotics of noisy SVGD outside the population limit Authors: Victor Priser; PASCAL BIANCHI; Adil Salim Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Stochastic approximation; sampling; convergence; interacting particles system; dynamical systems; Stein Variational Gradient Descent; McKean-Vlasov equation; v…
3185	Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Authors: Haoran He; Can Chang; Huazhe Xu; Ling Pan Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Backward Sampling; Goal-Conditioned Learning; Generative Flow Networks; variational inference; sampling; UQ; etc.)
3186	Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks Authors: Emanuel Sommer; Jakob Robnik; Giorgi Nozadze; Uros Seljak; David Rügamer 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; Bayesian Neural Networks; variational inference; sampling; UQ; etc.)
3187	Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models Authors: Theo Bourdais; Houman Owhadi Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Model aggregation; Ensemble Learning; Scientific Machine Learning; Gaussian Processes; Neural operators; variational inference; sampling; UQ; etc.)
3188	Multi-Dimensional Conformal Prediction Authors: Yam Tawachi; Bracha Laufer-Goldshtein Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: classification; conformal prediction; uncertainty quantification; variational inference; sampling; UQ; etc.)
3189	Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry Authors: Jannis Chemseddine; Christian Wald; Richard Duong; Gabriele Steidl 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 densities; Fisher-Rao Curves; Wasserstein Gradient Flows; Diffusion; Interpolations; variational inference; sampling; UQ; etc.)
3190	Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Authors: Melis Ilayda Bal; Pier Giuseppe Sessa; Mojmir Mutny; Andreas Krause Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Combinatorial Bayesian Optimization; Game Theory; Gaussian Processes; Protein Design; variational inference; sampling; UQ; etc.)
3191	Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization Authors: Timofei Gritsaev; Nikita Morozov; Sergey Samsonov; Daniil Tiapkin 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 flow networks; gflownets; reinforcement learning; sampling; generative models; variational inference; sampling; UQ; etc.)
3192	Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Authors: Taiwo Adebiyi; Bach Do; Ruda 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: Bayesian optimization; global optimization; acquisition function; Thompson sampling; variational inference; sampling; UQ; etc.)
3193	PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Authors: Pablo Lemos; Sammy Nasser Sharief; Nikolay Malkin; Salma Salhi; Connor Stone; Laurence Perreault-Levasseur; Yashar Hezaveh 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; Model Evaluation; Sample-based Metrics; Hypothesis Testing; variational inference; sampling; UQ; etc.)
3194	Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Authors: Hyunsu Kim; Giung Nam; Chulhee Yun; Hongseok Yang; Juho Lee Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: SGMCMC; Bayesian Neural Network; Parameter Expansion; variational inference; sampling; UQ; etc.)
3195	Probabilistic Conformal Prediction with Approximate Conditional Validity Authors: Vincent Plassier; Alexander Fishkov; Mohsen Guizani; 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: Conformal Prediction; Conditional coverage; Probabilistic method; Uncertainty Quantification; variational inference; sampling; UQ; etc.)
3196	Probabilistic Language-Image Pre-Training Authors: Sanghyuk Chun; Wonjae Kim; Song Park; Sangdoo Yun Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: vision-langauge-pretraining; vision-language-model; probabilistic-embeddings; variational inference; sampling; UQ; etc.)
3197	Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling 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: MCMC; Annealed Langevin Monte Carlo; Non-log-concave sampling; Non-asymptotic analysis; variational inference; sampling; UQ; etc.)
3198	Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization Authors: Matthew X. Burns; Qingyuan Hou; Michael Huang Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: langevin; accelerators; sampling; optimization; diffusion; analog computing; variational inference; sampling; UQ; etc.)
3199	Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Authors: Omar Chehab; Anna Korba; Austin J Stromme; Adrien Vacher 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; Annealing; variational inference; sampling; UQ; etc.)
3200	Random-Set Neural Networks Authors: Shireen Kudukkil Manchingal; Muhammad Mubashar; Kaizheng Wang; Keivan Shariatmadar; Fabio Cuzzolin 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; Classification; Deep Learning; variational inference; sampling; UQ; etc.)
3201	Reassessing How to Compare and Improve the Calibration of Machine Learning Models Authors: Muthu Chidambaram; Rong Ge 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; proper scoring rules; ECE; kernel regression; variational inference; sampling; UQ; etc.)
3202	Robust Conformal Prediction with a Single Binary Certificate Authors: Soroush H. Zargarbashi; Aleksandar Bojchevski 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; Robust Conformal Prediction; variational inference; sampling; UQ; etc.)
3203	Robust Simulation-Based Inference under Missing Data via Neural Processes Authors: Yogesh Verma; Ayush Bharti; Vikas 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: Simulation-based inference; likelihood-free inference; approximate Bayesian computation; neural posterior estimation; missing data; variational inference; samp…
3204	Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics Authors: Sebastian Sanokowski; Wilhelm Franz Berghammer; Haoyu Peter Wang; Martin Ennemoser; Sepp Hochreiter; Sebastian Lehner Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Combinatorial Optimization; Diffusion Models; Statistical Physics; variational inference; sampling; UQ; etc.)
3205	Searching for Optimal Solutions with LLMs via Bayesian Optimization Authors: Dhruv Agarwal; Manoj Ghuhan Arivazhagan; Rajarshi Das; Sandesh Swamy; Sopan Khosla; Rashmi Gangadharaiah Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: search; optimization; LLMs; test-time steering; bayesian optimization; reasoning; variational inference; sampling; UQ; etc.)
3206	Sequential Controlled Langevin Diffusions Authors: Junhua Chen; Lorenz Richter; Julius Berner; Denis Blessing; Gerhard Neumann; Anima Anandkumar 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 inference; sequential importance sampling; monte carlo; SDEs; diffusion models; variational inference; sampling; UQ; etc.)
3207	Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions Authors: Peiyao Lai; Oren Mangoubi Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Matrix Perturbation Bounds; Matrix Diffusions; Low-rank Approximation; Differential Privacy; variational inference; sampling; UQ; etc.)
3208	Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold Authors: Hoang Phuc Hau Luu; Hanlin Yu; Bernardo Williams; Marcelo Hartmann; 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: Variational inference; Bures-Wasserstein space; Riemannian manifold; optimization; variational inference; sampling; UQ; etc.)
3209	Streamlining Prediction in Bayesian Deep Learning Authors: Rui Li; Marcus Klasson; 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: Bayesian deep learning; uncertainty quantification; variational inference; sampling; UQ; etc.)
3210	Towards Domain Adaptive Neural Contextual Bandits Authors: Ziyan Wang; Xiaoming Huo; 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: Domain Adaptation; Deep Learning; Adversarial Learning; variational inference; sampling; UQ; etc.)
3211	Towards Optimal Multi-draft Speculative Decoding Authors: Zhengmian Hu; Tong Zheng; Vignesh Viswanathan; Ziyi Chen; Ryan A. Rossi; Yihan Wu; Dinesh Manocha; Heng Huang Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: speculative sampling; variational inference; sampling; UQ; etc.)
3212	Uncertainty-Aware Decoding with Minimum Bayes Risk Authors: Nico Daheim; Clara Meister; Thomas Möllenhoff; Iryna Gurevych Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: mbr; uncertainty; llms; decoding; machine translation; language generation; variational learning; variational inference; sampling; UQ; etc.)
3213	Underdamped Diffusion Bridges with Applications to Sampling Authors: Denis Blessing; Julius Berner; Lorenz Richter; 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: Variational Inference; Sampling; Diffusion Models; variational inference; sampling; UQ; etc.)
3214	Variance-Reducing Couplings for Random Features Authors: Isaac Reid; Stratis Markou; Krzysztof Marcin Choromanski; Richard E. Turner; Adrian Weller Affiliation: 官方页面未列出 Official area / track: probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) Recognition: Poster/Regular Keywords: Monte Carlo; variance reduction; quasi Monte Carlo; transformers; performers; optimal transport; random Fourier features; graphs; Gaussian processes; kernels;…
3215	Variational Bayesian Pseudo-Coreset Authors: Hyungi Lee; Seungyoo Lee; Juho Lee 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 Pseudo-Coreset; Variational Inference; variational inference; sampling; UQ; etc.)
3216	Variational Search Distributions Authors: Daniel M. Steinberg; Rafael Oliveira; Cheng Soon Ong; 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: black box optimization; Bayesian optimization; variational inference; generative models; level set estimation; biological sequence design; protein engineering;…
3217	Wasserstein-Regularized Conformal Prediction under General Distribution Shift Authors: Rui Xu; Chao Chen; Yue Sun; Parvathinathan Venkitasubramaniam; Sihong 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; distribution shift; non-exchangeability; variational inference; sampling; UQ; etc.)
3218	$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee Authors: Wenye Li; Jiacai Liu; Ke Wei Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; policy optimization; policy convergence; linear convergence
3219	$q$-exponential family for policy optimization Authors: Lingwei Zhu; Haseeb Shah; Han Wang; Yukie Nagai; Martha White Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; policy optimization; $q$-exponential family; heavy-tailed policies; sparse policies
3220	A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations Authors: Sheng Xu; Bo Yue; Hongyuan Zha; Guiliang Liu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Preference-based Reinforcement Learning; Distributional Reinforcement Learning; Uncertainty Awareness
3221	A General Framework for Off-Policy Learning with Partially-Observed Reward Authors: Rikiya Takehi; Masahiro Asami; Kosuke Kawakami; Yuta Saito Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: off-policy learning; partially-observed rewards; contextual bandits
3222	A Generalist Hanabi Agent Authors: Arjun V Sudhakar; Hadi Nekoei; Mathieu Reymond; Miao Liu; Janarthanan Rajendran; Sarath Chandar Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning (MARL); Cooperative game; Multi Agent Text-based game
3223	A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence Authors: Mingyang Liu; Gabriele Farina; Asuman E. Ozdaglar Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Game Theory; Reinforcement Learning
3224	A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals Authors: Grace Liu; Michael Tang; Benjamin Eysenbach Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: exploration; emergent skills; contrastive reinforcement learning; open-ended learning
3225	A Theoretical Framework for Partially-Observed Reward States in RLHF Authors: Chinmaya Kausik; Mirco Mutti; Aldo Pacchiano; Ambuj Tewari Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; learning theory; reinforcement learning theory; reinforcement learning from human feedback; eluder dimension; partial observability
3226	ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample $V$-Ensemble Authors: Tianyuan Chen; Ronglong Cai; Faguo Wu; Xiao Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; In-sample Learning; Ensemble; Uncertainty Quantification; Dual Gradient Descent
3227	Accelerating Task Generalisation with Multi-Level Skill Hierarchies Authors: Thomas P Cannon; Özgür Şimşek Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Generalisation; Hierarchical Reinforcement Learning
3228	ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Authors: Yarden As; Bhavya Sukhija; Lenart Treven; Carmelo Sferrazza; Stelian Coros; Andreas Krause Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Safe Exploration; Constrained Markov Decision Processes; Safe Reinforcement Learning
3229	Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning Authors: Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D'Eramo Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: automated reinforcement learning; deep reinforcement learning; hyperparameter selection
3230	Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning Authors: Hyungkyu Kang; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Preference-based reinforcement learning; Reinforcement learning with human feedback; Offline reinforcement learning
3231	An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Authors: Haoran Xu; Shuozhe Li; Harshit Sikchi; Scott Niekum; Amy Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: imitation learning; offline RL; deep RL; dual RL
3232	Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning Authors: Haoxin Lin; Yu-Yan Xu; Yihao Sun; Zhilong Zhang; Yi-Chen Li; Chengxing Jia; Junyin Ye; Jiaji Zhang; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: model-based reinforcement learning; any-step dynamics model
3233	Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Authors: Guangchen Lan; Dong-Jun Han; Abolfazl Hashemi; Vaneet Aggarwal; Christopher Brinton Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Federated Learning; Asynchronous System
3234	BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping Authors: Aly Lidayan; Michael D Dennis; Stuart Russell Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning Theory; Bayesian Reinforcement Learning; Intrinsic Motivation; Reward Shaping; Reward Hacking
3235	BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Authors: Yu Heng Hung; Kai-Jie Lin; Yu-Heng Lin; Chien-Yi Wang; Cheng Sun; Ping-Chun Hsieh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Objective Bayesian Optimization; Transformers; Hyperparameter Optimization; Reinforcement Learning; Acquisition Function
3236	Bayesian Analysis of Combinatorial Gaussian Process Bandits Authors: Jack Sandberg; Niklas Åkerblom; Morteza Haghir Chehreghani Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-armed bandits; Combinatorial bandits; Contextual bandits; Gaussian processes; Energy-efficient navigation
3237	Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms Authors: Parham Rezaei; Farzan Farnia; Cheuk Ting Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Armed Bandits; Evaluation of generative models; Kernel-based evaluation scores; Mixture-UCB; Diversity in data generation
3238	Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning Authors: Wesley A. Suttle; Aamodh Suresh; Carlos Nieto-Granda Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; offline reinforcement learning; exploration; entropy
3239	Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Authors: Heyang Zhao; Xingrui Yu; David Mark Bossens; Ivor Tsang; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Optimistic exploration; Curiosity; Imitation learning; Inverse reinforcement learning; Reinforcement learning
3240	Bisimulation Metric for Model Predictive Control Authors: Yutaka Shimizu; Masayoshi Tomizuka Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Model-based reinforcement learning; optimal control; MPC
3241	Bootstrapped Model Predictive Control Authors: Yuhang Wang; Hanwei Guo; Sizhe Wang; Long Qian; Xuguang Lan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; model-based reinforcement learning; model predictive control; expert iteration; continous control
3242	Breaking the $\log(1/\Delta_2)$ Barrier: Better Batched Best Arm Identification with Adaptive Grids Authors: Tianyuan Jin; Qin Zhang; Dongruo Zhou Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Bandits
3243	Building Math Agents with Multi-Turn Iterative Preference Learning Authors: Wei Xiong; Chengshuai Shi; Jiaming Shen; Aviv Rosenberg; Zhen Qin; Daniele Calandriello; Misha Khalman; Rishabh Joshi; Bilal Piot; Mohammad Saleh; Chi Jin; Tong Zhang; Tianqi Liu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: large language model; RLHF; math
3244	COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation Authors: Yudong Zhang; Xuan Yu; Xu Wang; Zhaoyang Sun; Chen Zhang; Pengkun Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: generative flow network; offline RL; molecule design
3245	Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games? Authors: Yuheng Li; Wang Panpan; Haipeng Chen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: zero-sum game; combinatorial optimization; reinforcement learning
3246	Causal Information Prioritization for Efficient Reinforcement Learning Authors: Hongye Cao; Fan Feng; Tianpei Yang; Jing Huo; Yang Gao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: causality; reinforcement learning; empowerment; sample efficiency
3247	ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization Authors: The Viet Bui; Thanh Hong Nguyen; Tien Anh Mai Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Multi-Agent Reinforcement Learning; Stationary Distribution Correction Estimation
3248	Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning Authors: Dohyeong Kim; Mineui Hong; Jeongho Park; Songhwai Oh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Objective Reinforcement Learning; Safe Reinforcement Learning; Gradient Aggregation
3249	Conservative Contextual Bandits: Beyond Linear Representations Authors: Rohan Deb; Mohammad Ghavamzadeh; Arindam Banerjee Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Contextual Bandits; Safety; Neural Bandits; Constrained Bandits
3250	Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning Authors: Zijian Guo; Weichao Zhou; Shengao Wang; Wenchao Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Safe Reinforcement Learning; Constraint-conditioned Actor-Critic; Data Generation; Out-of-distribution Detection; Zero-shot Adaptation
3251	ContraDiff: Planning Towards High Return States via Contrastive Learning Authors: Yixiang Shan; Zhengbang Zhu; Ting Long; Liang Qifan; Yi Chang; Weinan Zhang; Liang Yin Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Decision Making; Diffusion Models; Machine Learning
3252	Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits Authors: Yuta Natsubori; Masataka Ushiku; Yuta Saito Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Off-Policy Evaluation; Off-Policy Learning; Importance Weighting; Cross Domain
3253	Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint Authors: Jiafei Lyu; Mengbei Yan; Zhongjian Qiao; Runze Liu; Xiaoteng Ma; Deheng Ye; Jing-Wen Yang; Zongqing Lu; Xiu Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: cross-domain; reinforcement learning; offline RL; optimal transport
3254	DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback Authors: GUOJUN XIONG; Ujwal Dinesha; Debajoy Mukherjee; Jian Li; Srinivas Shakkottai Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Restless Multi-Armed Bandits; Preference Feedback; Online Preference Learning
3255	Data Center Cooling System Optimization Using Offline Reinforcement Learning Authors: Xianyuan Zhan; Xiangyu Zhu; Peng Cheng; Xiao Hu; Ziteng He; Hanfei Geng; Jichao Leng; Huiwen Zheng; Chenhui Liu; Tianshun Hong; Yan Liang; Yunxin Liu; Feng Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement learning; data center optimization; cooling system; energy saving
3256	Diffusing States and Matching Scores: A New Framework for Imitation Learning Authors: Runzhe Wu; Yiding Chen; Gokul Swamy; Kianté Brantley; Wen Sun Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: imitation learning; diffusion model; score matching
3257	Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning Authors: Linjiajie Fang; Ruoxue Liu; Jing Zhang; Wenjia Wang; Bingyi Jing Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Diffusion Models; Actor-critic Learning; Policy Iteration; Policy Regularization
3258	Diffusion Policy Policy Optimization Authors: Allen Z. Ren; Justin Lidard; Lars Lien Ankile; Anthony Simeonov; Pulkit Agrawal; Anirudha Majumdar; Benjamin Burchfiel; Hongkai Dai; Max Simchowitz Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; diffusion policy
3259	Discrete Codebook World Models for Continuous Control Authors: Aidan Scannell; Mohammadreza Nakhaeinezhadfard; Kalle Kujanpää; Yi Zhao; Kevin Sebastian Luck; Arno Solin; Joni Pajarinen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; world model; representation learning; self-supervised learning; model-based reinforcement learning; continuous control
3260	Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control Authors: Songyuan Zhang; Oswin So; Mitchell Black; Chuchu Fan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: control barrier functions; multi-agent systems; black-box systems; partial observability; reinforcement learning
3261	Discriminator-Guided Embodied Planning for LLM Agent Authors: Haofu Qian; Chenjia Bai; Jiatao Zhang; Fei Wu; Wei Song; Xuelong Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: LLM Agent; Embodied Planning; Discriminator; Critic-Regularized Optimization
3262	Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning Authors: Jaehyeon Son; Soochan Lee; Gunhee Kim Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; in-context learning
3263	DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning Authors: Chao Li; Ziwei Deng; Chenxing Lin; Wenqi Chen; Yongquan Fu; Weiquan Liu; Chenglu Wen; Cheng Wang; Siqi Shen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; Diffusion Models; Offline reinforcement learning
3264	Doubly Optimal Policy Evaluation for Reinforcement Learning Authors: Shuze Liu; Claire Chen; Shangtong Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning
3265	Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient Authors: Wenlong Wang; Ivana Dusparic; Yucheng Shi; Ke Zhang; Vinny Cahill Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Mamba; Model based reinforcement learning; Atari100k; Mamba-2
3266	Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Authors: Jinwoo Choi; Seung-Woo Seo Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Skill Learning; Hierarchical Reinforcement Learning
3267	Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs Authors: Wei Hung; Shao-Hua Sun; Ping-Chun Hsieh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; action constraints
3268	Efficient Active Imitation Learning with Random Network Distillation Authors: Emilien Biré; Anthony Kobanda; Ludovic Denoyer; Rémy Portelas Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Active Imitation Learning; Imitation Learning; Interactive Learning; Navigation
3269	Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning Authors: Ruohong Liu; Yuxin Pan; Linjie Xu; Lei Song; Pengcheng You; Yize Chen; Jiang Bian Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-objective reinforcement learning; constrained reinforcement learning
3270	Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Authors: Anthony GX-Chen; Kenneth Marino; Rob Fergus Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; model based reinforcement learning; world model; exploration; hierarchy
3271	Efficient Imitation under Misspecification Authors: Nicolas Espinosa-Dice; Sanjiban Choudhury; Wen Sun; Gokul Swamy Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Inverse Reinforcement Learning; Imitation Learning; Distribution Shift; Policy Completeness
3272	Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Authors: Jasmine Bayrooti; Carl Henrik Ek; Amanda Prorok Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; model-based reinforcement learning; optimistic exploration
3273	Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching Authors: Lei Yuan; Yuqi Bian; Lihe Li; Ziqian Zhang; Cong Guan; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-agent Reinforcement Learning; Offline MARL; Diffusion based Reinforcement Learning; Trajectory Stitching
3274	Efficient Off-Policy Learning for High-Dimensional Action Spaces Authors: Fabian Otto; Philipp Becker; Vien Anh Ngo; Gerhard Neumann Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; trust region
3275	Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data Authors: Zhiyuan Zhou; Andy Peng; Qiyang Li; Sergey Levine; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; fast fine-tuning
3276	Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Authors: Claire Chen; Shuze Liu; Shangtong Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning
3277	Efficient Reinforcement Learning with Large Language Model Priors Authors: Xue Yan; Yan Song; Xidong Feng; Mengyue Yang; Haifeng Zhang; Haitham Bou Ammar; Jun Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Probabilistic Inference; Language Prior
3278	Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Authors: Matthew Riemer; Gopeshh Subbaraj; Glen Berseth; Irina Rish Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Realtime Environments; Asynchronous Algorithms; Time Discretization; Real World Deployment; Deep Reinforcement Learning
3279	Energy-Weighted Flow Matching for Offline Reinforcement Learning Authors: Shiyuan Zhang; Weitong Zhang; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Flow Matching Models; Diffusion Models; Energy-guidance Generative Models; Offline Reinforcement Learning
3280	Episodic Novelty Through Temporal Distance Authors: Yuhua Jiang; Qihan Liu; Yiqin Yang; Xiaoteng Ma; Dianyu Zhong; Hao Hu; Jun Yang; Bin Liang; Bo XU; Chongjie Zhang; Qianchuan Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning
3281	Epistemic Monte Carlo Tree Search Authors: Yaniv Oren; Viliam Vadocz; Matthijs T. J. Spaan; Wendelin Boehmer Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: model based; epistemic uncertainty; exploration; planning; alphazero; muzero
3282	Expected Return Symmetries Authors: Darius Muglich; Johannes Forkel; Elise van der Pol; Jakob Nicolaus Foerster Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; zero-shot coordination
3283	Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank Authors: Wenhao Zhan; Scott Fujimoto; Zheqing Zhu; Jason D. Lee; Daniel Jiang; Yonathan Efroni Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; offline learning; interaction rank; distribution shift
3284	Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning Authors: Xinran Li; Xiaolu Wang; Chenjia Bai; Jun Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; communication
3285	FOSP: Fine-tuning Offline Safe Policy through World Models Authors: Chenyang Cao; Yucheng Xin; Silang Wu; Longxiang He; Zichen Yan; Junbo Tan; Xueqian Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Safe RL; Offline-to-online RL; Robot Learning
3286	Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies Authors: Lingwei Zhu; Han Wang; Yukie Nagai Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; offline reinforcement learning; actor critic; sparse policies
3287	Feature-Based Online Bilateral Trade Authors: Solenne Gaucher; Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Vianney Perchet Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: bilateral trade; online learning; contextual bandits
3288	Federated $Q$-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost Authors: Zhong Zheng; Haochen Zhang; Lingzhou Xue Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Federated Learning; Reinforcement Learning; variance reduction; communication cost
3289	Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset Authors: Yiqin Yang; Quanwei Wang; Chenghao Li; Hao Hu; Chengjie Wu; Yuhua Jiang; Dianyu Zhong; Ziyou Zhang; Qianchuan Zhao; Chongjie Zhang; Bo XU Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Data Selection; Grad Match
3290	Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment Authors: Aadirupa Saha; Pierre Gaillard Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Active online assortment optimization; Preference feedback; Subsetwise utility maximization; Assortment selection algorithms; Plackett Luce model; Regret minim…
3291	FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning Authors: Woosung Koh; Wonbeen Oh; Siyeol Kim; Suhin Shin; Hyeongjin Kim; Jaein Jang; Junghyun Lee; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Domain Generalization; Multi-agent Reinforcement Learning; Reliability; Safety
3292	GROOT-2: Weakly Supervised Multimodal Instruction Following Agents Authors: Shaofei Cai; Bowei Zhang; Zihao Wang; Haowei Lin; Xiaojian Ma; Anji Liu; Yitao Liang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Open-world Agent; Weakly Supervised Learning; Goal-Conditioned Policy
3293	Global Convergence of Policy Gradient in Average Reward MDPs Authors: Navdeep Kumar; Yashaswini Murthy; Itai Shufaro; Kfir Yehuda Levy; R. Srikant; Shie Mannor Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Policy Gradient; Reinforcement Learning; Average Reward MDPs
3294	Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach Authors: Jason Piquenot; Maxime Berar; Romain Raveaux; Pierre Héroux; Jean-Yves RAMEL; Sébastien Adam Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Graph; Reinforcement Learning; Grammar; Cycle Counting
3295	Handling Delay in Real-Time Reinforcement Learning Authors: Ivan Anokhin; Rishav Rishav; Matthew Riemer; Stephen Chung; Irina Rish; Samira Ebrahimi Kahou Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; real-time reinforcement learning; delay; pipelining; parallel computations
3296	Hierarchical World Models as Visual Whole-Body Humanoid Controllers Authors: Nicklas Hansen; Jyothir S V; Vlad Sobal; Yann LeCun; Xiaolong Wang; Hao Su Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; world model; humanoid
3297	Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Authors: Haozhe Ma; Zhengding Luo; Thanh Vinh Vo; Kuankuan Sima; Tze-Yun Leong Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reward Shaping; Thompson Sampling; Self-Adaptive Exploration-Exploitation Balance
3298	Horizon Generalization in Reinforcement Learning Authors: Vivek Myers; Catherine Ji; Benjamin Eysenbach Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; generalization; invariance; planning
3299	INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning Authors: Yuqian Fu; Yuanheng Zhu; Jian Zhao; Jiajun Chai; Dongbin Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-agent reinforcement learning; Offline reinforcement learning; Diffusion models
3300	Integral Performance Approximation for Continuous-Time Reinforcement Learning Control Authors: Brent A. Wallace; Jennie Si Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Continuous-Time Reinforcement Learning (CT-RL); Optimal Control; Integral Performance Approximation (IPA); Adaptive/Approximate Dynamic Programming (ADP); Flig…
3301	Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning Authors: Haque Ishfaq; Guangyuan Wang; Sami Nur Islam; Doina Precup Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Actor-Critic; Exploration; Reinforcement Learning; Thompson Sampling; Langevin Monte Carlo; Deep Reinforcement learning; Continuous Control
3302	Language Guided Skill Discovery Authors: Seungeun Rho; Laura Smith; Tianyu Li; Sergey Levine; Xue Bin Peng; Sehoon Ha Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Unsupervised Skill Discovery; Guided Skill Discovery; Reinforcement Learning; Language Guided RL
3303	Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning Authors: Prajwal Koirala; Zhanhong Jiang; Soumik Sarkar; Cody Fleming Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Safe RL; Offline RL; Variational Autoencoders; Latent Safety Constraints
3304	Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation Authors: Sicong Liu; Yang Shu; Chenjuan Guo; Bin Yang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Multi-Agent Reinforcemenr Learning
3305	Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning Authors: Rui Yang; Jie Wang; Qijie Peng; Ruibo Guo; Guoping Wu; Bin Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Visual Reinforcement Learning; Generalization; Representation Learning; Information Bottleneck; One-Step Rewards
3306	Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning Authors: Shumao Zhai; Ning Ge Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: SAT Problem; Divide And Conquer; Graph Neural Network; Reinforcememt Learning
3307	Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning Authors: Menglong Zhang; Fuyuan Qian; Quanying Liu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: meta-reinforcement learning; representation learning; bisimulation
3308	Learning View-invariant World Models for Visual Robotic Manipulation Authors: Jing-Cheng Pang; Nan Tang; Kaiyuan Li; Yuting Tang; Xin-Qiang Cai; Zhen-Yu Zhang; Gang Niu; Masashi Sugiyama; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Robotic manipulation; reinforcement learning; world model
3309	Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory Authors: Alexander Levine; Peter Stone; Amy Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reinforcement Learning Theory; Controllable Representations; Representation Learning; Exogenous Noise; Controllable Latent State; Unsup…
3310	Learning mirror maps in policy mirror descent Authors: Carlo Alfano; Sebastian Rene Towers; Silvia Sapora; Chris Lu; Patrick Rebeschini Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Policy optimization; mirror descent
3311	Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning Authors: Mianchu Wang; Yue Jin; Giovanni Montana Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline reinforcement learning; weighted imitation learning; multi-modality.
3312	Learning to Communicate Through Implicit Communication Channels Authors: Han Wang; Binbin Chen; Tieying Zhang; Baoxiang Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: implicit communication; multi-agent reinforcement learning; the Hanabi challenge
3313	Learning to Steer Markovian Agents under Model Uncertainty Authors: Jiawei Huang; Vinzenz Thoma; Zebang Shen; Heinrich H. Nax; Niao He Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Steering Learning Dynamics; Reinforcement Learning; Markov Games; Mechanism Design
3314	Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning Authors: Calarina Muslimani; Matthew E. Taylor Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Human-in-the-loop; Preference learning; Learning from scalar feedback
3315	Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making Authors: Jincheng Wang; Penny Karanasou; Pengyuan Wei; Elia Gatti; Diego Martinez Plasencia; Dimitrios Kanoulas Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Deep Learning; Reinforcement Learning; Transformer; Decision Transformer; Long-Short Decsion Transformer; OfflineRL
3316	Looking into User’s Long-term Interests through the Lens of Conservative Evidential Learning Authors: Dingrong Wang; Krishna Prasad Neupane; Ervine Zheng; Qi Yu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: recommender systems; evidence-aware exploration; evidential learning
3317	MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder Authors: Sehyeok Kang; Yongsik Lee; Gahee Kim; Song Chong; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; partial observability; masked autoencoder
3318	M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model Authors: Kehan Wen; Yutong Hu; Yao Mu; Lei Ke Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline-to-Online Reinforcement Learning; Model-based Reinforcement Learning; Masked Autoencoding; Robot Learning
3319	MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization Authors: Bhavya Sukhija; Stelian Coros; Andreas Krause; Pieter Abbeel; Carmelo Sferrazza Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; Exploration in off-policy methods; Continuous control
3320	Minimax Optimal Reinforcement Learning with Quasi-Optimism Authors: Harin Lee; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Tabular Reinforcement Learning; Regret Analysis
3321	Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization Authors: Juntao Dai; Taiye Chen; Yaodong Yang; Qian Zheng; Gang Pan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reward Over-Optimization; Reinforcement Learning from Human Feedback; Large Language Model
3322	Model Risk-sensitive Offline Reinforcement Learning Authors: Gwangpyo Yoo; Honguk Woo Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: risk-sensitive offline reinforcement learning; reinforcement learning; offline reinforcement learning; risk; model risk
3323	Model-Free Offline Reinforcement Learning with Enhanced Robustness Authors: Chi Zhang; Zain Ulabedeen Farhat; George K. Atia; Yue Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: offline RL; robust; scalability; model-free
3324	Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning Authors: Kwanyoung Park; Youngwoon Lee Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: model-based offline reinforcement learning; offline reinforcement learning; lower expectile return
3325	Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds Authors: Zhiyong Wang; Dongruo Zhou; John C.S. Lui; Wen Sun Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning theory; model-based reinforcement learning
3326	Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Authors: Xinyue Wang; Biwei Huang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Model-based Reinforcement Learning; World Model; Causal Representation Learning; Generalization in Reinforcement Learning
3327	Multi-agent cooperation through learning-aware policy gradients Authors: Alexander Meulemans; Seijin Kobayashi; Johannes von Oswald; Nino Scherrer; Eric Elmoznino; Blake Aaron Richards; Guillaume Lajoie; Blaise Aguera y Arcas; Joao Sacramento Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-agent learning; reinforcement learning; decentralized training; social dilemmas; cooperation; iterated prisoner's dilemma; melting pot
3328	Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form Authors: Toshinori Kitamura; Tadashi Kozuno; Wataru Kumagai; Kenta Hoshino; Yohei Hosoe; Kazumi Kasaura; Masashi Hamaya; Paavo Parmas; Yutaka Matsuo Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Markov Decision Process; Constrained Optimization; Robust Optimization
3329	Neural Dueling Bandits: Preference-Based Optimization with Human Feedback Authors: Arun Verma; Zhongxiang Dai; Xiaoqiang Lin; Patrick Jaillet; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Contextual Dueling Bandits; Preferences Learning; Human Feedback; Neural Bandits; Thompson Sampling
3330	Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL Authors: Cevahir Koprulu; Franck Djeumou; ufuk topcu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: neural stochastic differential equations; offline reinforcement learning; physics-informed machine learning
3331	Neuroplastic Expansion in Deep Reinforcement Learning Authors: Jiashun Liu; Johan Samir Obando Ceron; Aaron Courville; Ling Pan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Loss of Plasticity; Primacy Bias; Deep Reinforcement Learning; Continual RL
3332	Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation Authors: Anish Abhijit Diwan; Julen Urain; Jens Kober; Jan Peters Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: imitation learning; energy based generative models; reinforcement learning; imitation from observation
3333	Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching Authors: Arnav Kumar Jain; Harley Wiltzer; Jesse Farebrother; Irina Rish; Glen Berseth; Sanjiban Choudhury Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Inverse Reinforcement Learning; Imitation Learning; Successor Features
3334	Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning Authors: Caleb Chuck; Fan Feng; Carl Qi; Chang Shi; Siddhant Agarwal; Amy Zhang; Scott Niekum Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Goal Conditioned Reinforcement Learning; Factor Interactions; Factored State; Hindsight Experience Replay; Counterfactual
3335	OGBench: Benchmarking Offline Goal-Conditioned RL Authors: Seohong Park; Kevin Frans; Benjamin Eysenbach; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning
3336	ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization Authors: Chen Bo Calvin Zhang; Zhang-Wei Hong; Aldo Pacchiano; Pulkit Agrawal Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reward Design; Reward Selection
3337	Offline Hierarchical Reinforcement Learning via Inverse Optimization Authors: Carolin Schmidt; Daniele Gammelli; James Harrison; Marco Pavone; Filipe Rodrigues Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Hierarchical Reinforcement Learning
3338	Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics Authors: Ahana Deb; Roberto Cipollone; Anders Jonsson; Alessandro Ronca; Mohammad Sadegh Talebi Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Non-Markov Decision Process; Offline Reinforcement Learning; Regular Decision Processes; Sample Complexity; Automata
3339	Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Authors: Qingmao Yao; Zhichao Lei; Tianyuan Chen; Ziyue Yuan; Xuefan Chen; Jianxiang Liu; Faguo Wu; Xiao Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Deep Reinforcement Learning; Offline Reinforcement Learning; Smooth Bellman Operator; Smooth Q-function OOD Generalization
3340	On Bits and Bandits: Quantifying the Regret-Information Trade-off Authors: Itai Shufaro; Nadav Merlis; Nir Weinberger; Shie Mannor Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Online learning; Information theory; Bayesian regret; Bandits
3341	On Generalization Across Environments In Multi-Objective Reinforcement Learning Authors: Jayden Teoh; Pradeep Varakantham; Peter Vamplew Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Multi-Objective Reinforcement Learning; Generalization
3342	On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning Authors: Roman Belaire; Arunesh Sinha; Pradeep Varakantham Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; robust reinforcement learning; adversarial robustness; partially observable markov decision problems
3343	On Rollouts in Model-Based Reinforcement Learning Authors: Bernd Frauenknecht; Devdutt Subhasish; Friedrich Solowjow; Sebastian Trimpe Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Model-Based Reinforcement Learning; Model Rollouts; Uncertainty Quantification
3344	On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Authors: GUOJUN XIONG; Shufan Wang; Daniel Jiang; Jian Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: personalized federated reinforcement learning; shared representations; stochastic approximation
3345	On the Modeling Capabilities of Large Language Models for Sequential Decision Making Authors: Martin Klissarov; R Devon Hjelm; Alexander T Toshev; Bogdan Mazoure Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; large language models; ai agents; preference based learning; reward design
3346	Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization Authors: Jiajun Fan; Shuaike Shen; Chaoran Cheng; Yuxin Chen; Chumeng Liang; Ge Liu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Flow Matching; Reinforcement Learning; Wasserstein Regularization; Exploration-Exploitation Trade-off; Fine-Tuning; Generative Model
3347	Online-to-Offline RL for Agent Alignment Authors: Xu Liu; Haobo Fu; Stefano V Albrecht; QIANG FU; Shuai Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; agent alignment
3348	Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes Authors: Jongmin Lee; Ernest K. Ryu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Average-reward Markov decision process; Average-reward MDP; Value iteration; Reinforcement learning theory; RL theroy; Dynamic programming; Convergence analysi…
3349	Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization Authors: Francesco Emanuele Stradi; Matteo Castiglioni; Alberto Marchesi; Nicola Gatti Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: CMDP; strong regret; strong violations; primal-dual
3350	PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning Authors: Utsav Singh; Vinay P. Namboodiri Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Hierarchical reinforcement learning; Learning from demonstrations
3351	PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations Authors: Qiang Liu; Huiqiao Fu; Kaiqiang Tang; Chunlin Chen; Daoyi Dong Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Generative adversarial imitation learning; imperfect demonstrations; reinforcement learning
3352	PWM: Policy Learning with Multi-Task World Models Authors: Ignat Georgiev; Varun Giridhar; Nicklas Hansen; Animesh Garg Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; model-based reinforcement learning; continuous control; world models
3353	Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy Authors: Ishank Juneja; Carlee Joe-Wong; Osman Yagan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Bandits; Multi-Armed Bandits; Online Learning; Cost-Subsidy; Cost Subsidy; Improved UCB; UCB; Elimination Algorithms
3354	Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model Authors: Xiu Yuan; Tongzhou Mu; Stone Tao; Yunhao Fang; Mengke Zhang; Hao Su Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Policy Learning; Online Improve
3355	Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy Authors: Zhenghai Xue; Bo An; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Human-in-the-loop Learning; Imperfect Human Interaction; Human Feedback
3356	PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization Authors: André Hottung; Mridul Mahajan; Kevin Tierney Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: neural combinatorial optimization; learning to optimize; reinforcement learning; routing problems
3357	Preference Elicitation for Offline Reinforcement Learning Authors: Alizée Pace; Bernhard Schölkopf; Gunnar Ratsch; Giorgia Ramponi 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
3358	Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline Authors: Hongjoon Ahn; Jinu Hyeon; Youngmin Oh; Bosun Hwang; Taesup Moon Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: continual reinforcement learning; negative transfer; plasticity loss
3359	Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation Authors: Yi-Chen Li; Fuxiang Zhang; Wenjie Qiu; Lei Yuan; Chengxing Jia; Zongzhang Zhang; Yang Yu; Bo An Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning from human feedback; large languge model customization; anti-forgetting
3360	Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning Authors: Joey Hong; Anca Dragan; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: offline reinforcement learning; language models; dialogue; robotics
3361	QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing Authors: Grace Zhang; Ayush Jain; Injune Hwang; Shao-Hua Sun; Joseph J Lim Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-task Reinforcement Learning; Behavior Sharing
3362	REvolve: Reward Evolution with Large Language Models using Human Feedback Authors: RISHI HAZRA; Alkis Sygkounas; Andreas Persson; Amy Loutfi; Pedro Zuidberg Dos Martires Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Evolutionary Algorithms; Reward Design; Reinforcement Learning; Large Language Models
3363	RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning Authors: Qianlan Yang; Yu-Xiong Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Diffusion Model; Reverse Synthesize
3364	Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency Authors: Liang Qifan; Yixiang Shan; Haipeng Liu; Zhengbang Zhu; Ting Long; Weinan Zhang; Yuan Tian Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; partial observability; cooperation; centralized training distributed execution; global state
3365	Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF Authors: Zhaolin Gao; Wenhao Zhan; Jonathan Daniel Chang; Gokul Swamy; Kianté Brantley; Jason D. Lee; Wen Sun Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reinforcement Learning from Human Feedback
3366	Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards Authors: Zhaohui JIANG; Xuening Feng; Paul Weng; Yifei Zhu; Yan Song; Tianze Zhou; Yujing Hu; Tangjie Lv; Changjie Fan Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; imitation learning; corrective action; proxy reward; human-agent alignment
3367	Reinforcement learning with combinatorial actions for coupled restless bandits Authors: Lily Xu; Bryan Wilder; Elias Boutros Khalil; Milind Tambe Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; combinatorial optimization; restless bandits; mixed-integer programming
3368	Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning Authors: Yixian Zhang; Huaze Tang; Huijing Lin; Wenbo Ding Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: policy learning; reproducing kernel Hilbert space; representation learning; variance reduction
3369	Revisiting a Design Choice in Gradient Temporal Difference Learning Authors: Xiaochi Qian; Shangtong Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: gradient temporal difference learning
3370	Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning Authors: Giseung Park; Youngchul Sung Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Objective Reinforcement Learning; Reinforcement Learning; Dimension Reduction
3371	Reward Learning from Multiple Feedback Types Authors: Yannick Metz; Andras Geiszl; Raphaël Baur; Mennatallah El-Assady Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; RLHF; Machine Learning; Multi-Type Feedback
3372	Risk-Sensitive Variational Actor-Critic: A Model-Based Approach Authors: Alonso Granados; Reza Ebrahimi; Jason Pacheco Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; variational inference; risk sensitive RL
3373	Robust Transfer of Safety-Constrained Reinforcement Learning Agents Authors: Markel Zubia; Thiago D. Simão; Nils Jansen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Safe Transfer; Adversarial Training; Robustness
3374	SELF-EVOLVED REWARD LEARNING FOR LLMS Authors: Chenghua Huang; Zhizhen Fan; Lu Wang; Fangkai Yang; Pu Zhao; Zeqi Lin; Qingwei Lin; Dongmei Zhang; Saravan Rajmohan; Qi Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: RLHF; LLM; Self-learning
3375	SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation Authors: Jongmin Lee; Meiqi Sun; Pieter Abbeel Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: state entropy maximization; unsupervised reinforcement learning
3376	Safety Representations for Safer Policy Learning Authors: Kaustubh Mani; Vincent Mai; Charlie Gauthier; Annie S Chen; Samer B. Nashed; Liam Paull Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Safe Exploration; Representation Learning
3377	Safety-Prioritizing Curricula for Constrained Reinforcement Learning Authors: Cevahir Koprulu; Thiago D. Simão; Nils Jansen; ufuk topcu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: curriculum learning; constrained reinforcement learning
3378	Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining Authors: Jie Cheng; Ruixi Qiao; YINGWEI MA; Binhua Li; Gang Xiong; Qinghai Miao; Yongbin Li; Yisheng Lv Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; offline reinforcement learning; world model
3379	Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning Authors: Hai Zhang; Boyuan Zheng; Tianying Ji; JinHang Liu; Anqi Guo; Junqiao Zhao; Lanqing Li Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: offline meta reinforcement learning; performance improvement guarantee; task representation shift
3380	Select before Act: Spatially Decoupled Action Repetition for Continuous Control Authors: Buqing Nie; Yangqing Fu; Yue Gao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Action Repetition
3381	Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning Authors: Tian-Shuo Liu; Xu-Hui Liu; Ruifeng Chen; Lixuan Jin; Pengyuan Wang; Zhilong Zhang; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Vision-Language Models; Temporal Abstraction
3382	Simple, Good, Fast: Self-Supervised World Models Free of Baggage Authors: Jan Robine; Marc Höftmann; Stefan Harmeling Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement learning; World models; Self-supervised learning; Atari 100k
3383	SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback Authors: Jingsheng Gao; Linxu Li; Ke Ji; Weiyuan Li; Yixin Lian; yuzhuo fu; Bin Dai Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Retrieval-augmented Generation; Language Models; Reinforcement Learning
3384	Solving New Tasks by Adapting Internet Video Knowledge Authors: Calvin Luo; Zilai Zeng; Yilun Du; Chen Sun Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Text-Conditioned Generalization; Video Diffusion; Adaptation; Planning; Policy Learning
3385	Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning Authors: Hung Le; Dung Nguyen; Kien Do; Sunil Gupta; Svetha Venkatesh Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Memory; POMDP
3386	Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Authors: Samuel Garcin; Trevor McInroe; Pablo Samuel Castro; Christopher G. Lucas; David Abel; Prakash Panangaden; Stefano V Albrecht Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Representation Learning; Transfer Learning; Information Theory
3387	Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Authors: Max Liu; Chan-Hung Yu; Wei-Hsu Lee; Cheng-Wei Hung; Yen-Chun Chen; Shao-Hua Sun Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Large Language Model; Programmatic Reinforcement Learning
3388	TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees Authors: Weibin Liao; Xu Chu; Yasha Wang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning from Human Feedback; Language Models; Preferences Learning
3389	Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling Authors: Jiawei Xu; Rui Yang; Shuang Qiu; Feng Luo; Meng Fang; Baoxiang Wang; Lei Han Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Data Corruption; Robust Reinforcement Learning
3390	Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster Authors: Patrick Schnell; Luca Guastoni; Nils Thuerey Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Optimization
3391	The Value of Sensory Information to a Robot Authors: Arjun Krishna; Edward S. Hu; Dinesh Jayaraman Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: robotics; limited sensing; perception; imitation learning; reinforcement learning; planning
3392	Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization Authors: Tianxu Li; Kun Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Exploration; Cooperation; Trajectory Entropy Maximization
3393	Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers Authors: Runyi Zhao; Sheng Xu; Bo Yue; Guiliang Liu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Inverse Reinforcement Learning; Generative Diffusion Model
3394	Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning Authors: Hongye Cao; Fan Feng; Meng Fang; Shaokang Dong; Tianpei Yang; Jing Huo; Yang Gao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Causal RL; MBRL; Empowerment; Intrinsic Motivation
3395	Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Authors: Yupei Yang; Biwei Huang; Fan Feng; Xinyue Wang; Shikui Tu; Lei Xu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Transfer Learning
3396	Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction Authors: Huawen Feng; ZekunYao; Junhao Zheng; Qianli Ma Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: RAG; CoT; Self-play; Reinforcement Learning
3397	Trajectory-Class-Aware Multi-Agent Reinforcement Learning Authors: Hyungho Na; Kwanghyeon Lee; Sumin Lee; Il-chul Moon Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: trajectory clustering; multi-agent reinforcement learning; trajectory-class-aware policy; multi-task
3398	Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning Authors: Jiuqi Wang; Ethan Blaser; Hadi Daneshmand; Shangtong Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: in-context reinforcement learning; policy evaluation; temporal difference learning
3399	UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning Authors: Shicheng Liu; Minghui Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: explainable reinforcement learning
3400	Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback Authors: Zexu Sun; Yiju Guo; Yankai Lin; Xu Chen; Qi Qi; Xing Tang; xiuqiang He; Ji-Rong Wen Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Reward Modeling; Large Language Model; Data Augmentation
3401	Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning Authors: Bo Yue; Shufan Wang; Ashish Gaurav; Jian Li; Pascal Poupart; Guiliang Liu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Constraint Inference; Training Efficiency; Cross-environment Transferability
3402	Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation Authors: Jingbo Sun; Songjun Tu; qichao Zhang; Haoran Li; Xin Liu; Yaran Chen; Ke Chen; Dongbin Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: unsupervised reinforcement learning; zero-shot generalization; skill discovery; successor representation
3403	Utilitarian Algorithm Configuration for Infinite Parameter Spaces Authors: Devon R. Graham; Kevin Leyton-Brown Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: Algorithm configuration; Utilitarian algorithm configuration; bandits
3404	VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation Authors: Kuo-Han Hung; Pang-Chi Lo; Jia-Fong Yeh; Han-Yuan Hsu; Yi-Ting Chen; Winston H. Hsu Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reward learning; reinforcement learning; long-horizon robot learning; vision-language
3405	Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF Authors: Shicong Cen; Jincheng Mei; Katayoon Goshvadi; Hanjun Dai; Tong Yang; Sherry Yang; Dale Schuurmans; Yuejie Chi; Bo Dai Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: preference optimization; the principle of optimism/pessimism; RLHF theory
3406	Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization Authors: Xingyu Jiang; Ning Gao; Xiuhui Zhang; Hongkun Dou; Yue Deng Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: offline reinforcement learning; bi-level optimization; value alignment
3407	XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Authors: Alexander Nikulin; Ilya Zisman; Alexey Zemtsov; Vladislav Kurenkov Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: in-context reinforcement learning; reinforcement learning; xland; minigrid
3408	Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models Authors: Andrea Tirinzoni; Ahmed Touati; Jesse Farebrother; Mateusz Guzek; Anssi Kanervisto; Yingchen Xu; Alessandro Lazaric; Matteo Pirotta Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning; foundation model; humanoid
3409	Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference Authors: Qining Zhang; Lei Ying Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: reinforcement learning theory; human feedback; zeroth-order optimization
3410	eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels Authors: Alexander DeRieux; Walid Saad Affiliation: 官方页面未列出 Official area / track: reinforcement learning Recognition: Poster/Regular Keywords: quantum machine learning; multi-agent reinforcement learning; quantum entanglement
3411	ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation Authors: Ze Yang; Shichao Dong; Ruibo Li; Nan Song; Guosheng 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; Panoptic Segmentation; Knowledge Distillation; meta learning; and lifelong learning
3412	ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning Authors: Pengwei Tang; Xiaolin Hu; Yong Liu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Natural Language Processing; Large Language Models; Parameter-efficient Fine-tuning; meta learning; and lifelong learning
3413	Active Learning for Continual Learning: Keeping the Past Alive in the Present Authors: Jaehyun Park; Dongmin Park; Jae-Gil Lee Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: active learning; continual learning; Fisher information; meta learning; and lifelong learning
3414	Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection Authors: Adyasha Maharana; Jaehong Yoon; Tianlong Chen; Mohit Bansal Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Multimodal Instruction Tuning; Continual Learning; Data Selection; meta learning; and lifelong learning
3415	Adaptive Retention & Correction: Test-Time Training for Continual Learning Authors: Haoran Chen; Micah Goldblum; Zuxuan Wu; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Computer Vision; Transfer Learning; meta learning; and lifelong learning
3416	Advancing Prompt-Based Methods for Replay-Independent General Continual Learning Authors: Zhiqi KANG; Liyuan Wang; Xingxing Zhang; Karteek Alahari Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; General Continual Learning; Catastrophic Forgetting; Prompt Tuning; Sharpness-Aware Minimization; meta learning; and lifelong learning
3417	Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition Authors: Xinyu Tian; Shu Zou; Zhaoyuan Yang; Mengqi He; Jing Zhang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Few-shot Adaptation; Prompt Learning; Vision-Language Models; meta learning; and lifelong learning
3418	Boosting Multiple Views for pretrained-based Continual Learning Authors: Quyen Tran; Tung Lam Tran; Khanh Doan; Toan Tran; Dinh Phung; Khoat Than; Trung Le Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; ViT-pretrained continual learning; meta learning; and lifelong learning
3419	Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences Authors: Shuchen Wu; Mirko Thalmann; Peter Dayan; Zeynep Akata; Eric Schulz Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Abstraction; Chunking; Cognitive Science; LLMs; meta learning; and lifelong learning
3420	Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning Authors: Riccardo Salami; Pietro Buzzega; Matteo Mosconi; Jacopo Bonato; Luigi Sabetta; 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 merging; federated continual learning; federated learning; continual learning; meta learning; and lifelong learning
3421	Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification Authors: Hyunji Jung; Hanseul Cho; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Sequential Learning; Gradient Descent; Linear Classification; Convergence; Implicit Bias; meta learning; and lifelong learning
3422	Coreset Selection via Reducible Loss in Continual Learning Authors: Ruilin Tong; Yuhang Liu; Javen Qinfeng Shi; Dong Gong Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual learning; Coreset selection; meta learning; and lifelong learning
3423	Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection Authors: Chuhan ZHANG; Chaoyang Zhu; Pingcheng Dong; Long Chen; Dong Zhang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Contrastive Learning; Knowledge Transfer; Open-Vocabulary Object Detection; meta learning; and lifelong learning
3424	DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation Authors: Changdae Oh; Yixuan Li; Kyungwoo Song; Sangdoo Yun; Dongyoon Han Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: robustness; distribution shift; robust fine-tuning; weight interpolation; model merging; meta learning; and lifelong learning
3425	Decoupled Finetuning for Domain Generalizable Semantic Segmentation Authors: Jaehyun Pahk; Donghyeon Kwon; Seong Joon Oh; Suha Kwak Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Domain Generalization; Decoupled Optimization; Domain Generalizable Semantic Segmentation; Robustness; meta learning; and lifelong learning
3426	Decoupling Angles and Strength in Low-rank Adaptation Authors: Massimo Bini; Leander Girrbach; Zeynep Akata Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: parameter efficient finetuning; transfer learning; computer vision; NLP; meta learning; and lifelong learning
3427	Deep Linear Probe Generators for Weight Space Learning Authors: Jonathan Kahana; Eliahu Horwitz; Imri Shuval; Yedid Hoshen Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Deep Weight Space; Weight Classification; meta learning; and lifelong learning
3428	Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Authors: Weicai Yan; Wang Lin; Zirun Guo; Ye Wang; Fangming Feng; Xiaoda Yang; Zehan Wang; Tao Jin Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: prompt learning; diffusion model; multimodal learning; meta learning; and lifelong learning
3429	Directional Gradient Projection for Robust Fine-Tuning of Foundation Models Authors: Chengyue Huang; Junjiao Tian; Brisa Maneechotesuwan; Shivang Chopra; Zsolt Kira Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Fine-tuning; transfer learning; foundation models; robustness; visual question answering; meta learning; and lifelong learning
3430	DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks Authors: Saman Forouzandeh; Parham Moradi DW; Mahdi Jalili Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Hypergraph Neural Networks; Contrastive Learning.; meta learning; and lifelong learning
3431	Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model Authors: Jincheng Zhong; XiangCheng Zhang; Jianmin Wang; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: transfer learning; diffusion models; fine-tuning; guidance; meta learning; and lifelong learning
3432	DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation Authors: Han Sun; Rui Gong; Ismail Nejjar; Olga Fink 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
3433	DynaPrompt: Dynamic Test-Time Prompt Tuning Authors: Zehao Xiao; Shilin Yan; Jack Hong; Jiayin Cai; Xiaolong Jiang; Yao Hu; Jiayi Shen; Cheems Wang; Cees G. M. Snoek Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Test-time prompt tuning; test-time adaptation; vision-language model; CLIP; meta learning; and lifelong learning
3434	Efficient Cross-Episode Meta-RL Authors: Gresa Shala; André Biedenkapp; Pierre Krack; Florian Walter; Josif Grabocka Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: meta-reinforcement learning; transformers; in-context learning; meta learning; and lifelong learning
3435	Efficient Model Editing with Task-Localized Sparse Fine-tuning Authors: Leonardo Iurada; Marco Ciccone; Tatiana Tommasi Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: task arithmetic; parameter-efficient fine-tuning; meta learning; and lifelong learning
3436	Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Authors: Yushu Li; Yongyi Su; Adam Goodge; Kui Jia; Xun Xu 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; Label Propagation; Training-Free; meta learning; and lifelong learning
3437	Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond Authors: Giuseppe Serra; Florian Buettner Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Federated Continual Learning; Catastrophic Forgetting; Uncertainty Estimation; meta learning; and lifelong learning
3438	Federated Few-Shot Class-Incremental Learning Authors: Muhammad Anwar Ma'sum; Mahardhika Pratama; Lin Liu; H Habibullah; Ryszard Kowalczyk Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Federated; Few-Shot; Class-Incremental Learning; Prototype-bias; Rectification; meta learning; and lifelong learning
3439	Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic Authors: Ruochen Jin; Bojian Hou; Jiancong Xiao; Weijie J Su; Li Shen Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: task arithmetic; weight disentanglement; merging models; multi-task learning; meta learning; and lifelong learning
3440	GraphBridge: Towards Arbitrary Transfer Learning in GNNs Authors: Li Ju; Xingyi Yang; Qi Li; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Transfer Learning; Efficient Tuning Methods; Universial Model; meta learning; and lifelong learning
3441	Intermediate Layer Classifiers for OOD generalization Authors: Arnas Uselis; Seong Joon Oh Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: transfer learning; intermediate layers; learning dynamics; OOD generalization; meta learning; and lifelong learning
3442	Is Large-scale Pretraining the Secret to Good Domain Generalization? Authors: Piotr Teterwak; Kuniaki Saito; Theodoros Tsiligkaridis; Bryan A. Plummer; Kate Saenko Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Domain Generalization; Robustness; CLIP; Pretraining; meta learning; and lifelong learning
3443	LOIRE: LifelOng learning on Incremental data via pre-trained language model gRowth Efficiently Authors: Xue Han; Yitong Wang; Junlan Feng; wenchun.gao; Qian Hu; Chao Deng Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Lifelong learning; Model growth; Function-preserving; Efficient pre-training; meta learning; and lifelong learning
3444	Learning Continually by Spectral Regularization Authors: Alex Lewandowski; Michał Bortkiewicz; Saurabh Kumar; András György; Dale Schuurmans; Mateusz Ostaszewski; Marlos C. Machado Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: plasticity; neural networks; spectral regularization; continual learning; meta learning; and lifelong learning
3445	Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation Authors: Zhixiang Chi; Li Gu; Huan Liu; Ziqiang Wang; Yanan Wu; Yang Wang; Konstantinos N Plataniotis Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Distribution shifts; Visual prompt; Foundation model; Few-Shot Test-Time Domain Adaptation; meta learning; and lifelong learning
3446	LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning Authors: Zhekai Du; Yinjie Min; Jingjing Li; Ke Lu; Changliang Zou; Liuhua Peng; Tingjin Chu; Mingming Gong 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; discrete cosine transform; transfer learning; adaptation; meta learning; and lifelong learning
3447	LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation Authors: Can Jin; Ying Li; Mingyu Zhao; Shiyu Zhao; Zhenting Wang; Xiaoxiao He; Ligong Han; Tong Che; Dimitris N. Metaxas Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: computer vision; visual prompt; meta learning; and lifelong learning
3448	LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning Authors: Liangzu Peng; Juan Elenter; Joshua Agterberg; Alejandro Ribeiro; Rene Vidal Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Pretrained Models; Overparameterization; Generalization; Random Feature Models; meta learning; and lifelong learning
3449	MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on 3D Point Clouds via Shape Model Construction Authors: Hossein Resani; Behrooz Nasihatkon Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual learning; Point cloud processing; 3D Shape model; meta learning; and lifelong learning
3450	MLPs Learn In-Context on Regression and Classification Tasks Authors: William Lingxiao Tong; Cengiz Pehlevan 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; relational reasoning; synthetic tasks; MLP; MLP-Mixer; Transformer; meta learning; and lifelong learning
3451	MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba Authors: Masakazu Yoshimura; Teruaki Hayashi; Yota Maeda 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; PEFT; Mamba; State Space Model; SSM; meta learning; and lifelong learning
3452	Many-Objective Multi-Solution Transport Authors: Ziyue Li; Tian Li; Virginia Smith; Jeff Bilmes; Tianyi Zhou Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Multi-Objective Optimization; Mixture of Experts; meta learning; and lifelong learning
3453	Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement Authors: Kotaro Yoshida; Yuji Naraki; Takafumi Horie; Ryosuke Yamaki; Ryotaro Shimizu; Yuki Saito; Julian McAuley; Hiroki Naganuma 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; task vector; meta learning; and lifelong learning
3454	Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation Authors: Wenxuan Bao; Zhichen Zeng; Zhining Liu; Hanghang Tong; Jingrui He 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; distribution shifts; structure shifts; graph neural networks; meta learning; and lifelong learning
3455	Memory Efficient Transformer Adapter for Dense Predictions Authors: Dong Zhang; Rui Yan; Pingcheng Dong; Kwang-Ting Cheng Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Vision Transformer; Vision Transformer; Transformer; meta learning; and lifelong learning
3456	Metalic: Meta-Learning In-Context with Protein Language Models Authors: Jacob Beck; Shikha Surana; Manus McAuliffe; Oliver Bent; Thomas D Barrett; Juan Jose Garau-Luis; Paul Duckworth Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Meta-Learning; In-context Learning; Tuning; Protein; Fitness Prediction; Property Prediction; Protein Language Model; PLM; Large Language Model; meta learning;…
3457	Metamizer: A Versatile Neural Optimizer for Fast and Accurate Physics Simulations Authors: Nils Wandel; Stefan Schulz; Reinhard Klein Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Physics-based Deep Learning; Physics Simulations; Meta-Learning; meta learning; and lifelong learning
3458	Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Authors: Yeoreum Lee; Jinwook Jung; Sungyong Baik Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Model merging; Multi-task learning; Sharpness-aware minimization; meta learning; and lifelong learning
3459	Model merging with SVD to tie the Knots Authors: George Stoica; Pratik Ramesh; Boglarka Ecsedi; Leshem Choshen; Judy Hoffman Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: model merging; lora PEFT; computer vision; meta learning; and lifelong learning
3460	MotherNet: Fast Training and Inference via Hyper-Network Transformers Authors: Andreas C Mueller; Carlo A Curino; Raghu Ramakrishnan Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: hypernetwork; tabular data; meta-learning; foundational models; meta learning; and lifelong learning
3461	OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code Authors: Maxence Faldor; Jenny Zhang; Antoine Cully; Jeff Clune Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Open-endedness; Environment Generation; Reinforcement Learning; meta learning; and lifelong learning
3462	On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Authors: Yongyi Su; Yushu Li; Nanqing Liu; Kui Jia; Xulei Yang; Chuan-Sheng Foo; Xun Xu 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; data poisoning; meta learning; and lifelong learning
3463	On the Benefits of Attribute-Driven Graph Domain Adaptation Authors: Ruiyi Fang; Bingheng Li; zhao kang; Qiuhao Zeng; Nima Hosseini Dashtbayaz; Ruizhi Pu; Boyu Wang; Charles Ling Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Deep Learning and representational learning; meta learning; and lifelong learning
3464	PaCA: Partial Connection Adaptation for Efficient Fine-Tuning Authors: Sunghyeon Woo; Sol Namkung; Sunwoo Lee; Inho Jeong; Beomseok Kim; Dongsuk Jeon 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 (PEFT); Large Language Models (LLM); Memory efficient training; Accelerating training; meta learning; and lifelong learning
3465	Param$\Delta$ for Direct Mixing: Post-Train Large Language Model At Zero Cost Authors: Sheng Cao; Mingrui Wu; Karthik Prasad; Yuandong Tian; Zechun Liu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: large language model; post-training; transfer learning; model merging; weights averaging; artificial intelligence; meta learning; and lifelong learning
3466	Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Authors: Nikolaos Dimitriadis; Pascal Frossard; François Fleuret Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Pareto Front Learning; multi-task learning; low rank; meta learning; and lifelong learning
3467	Perturbation-Restrained Sequential Model Editing Authors: Jun-Yu Ma; Hong Wang; Hao-Xiang Xu; 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: Sequential Model Editing; Matrix Perturbation; General Abilities; Large Language Models; meta learning; and lifelong learning
3468	Plastic Learning with Deep Fourier Features Authors: Alex Lewandowski; Dale Schuurmans; Marlos C. Machado Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Fourier; plasticity; neural networks; continual learning; meta learning; and lifelong learning
3469	Privacy-Aware Lifelong Learning Authors: Ozan Ozdenizci; Elmar Rueckert; Robert Legenstein Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: lifelong learning; exact machine unlearning; task-incremental continual learning; sparse subnetworks; knowledge transfer; meta learning; and lifelong learning
3470	Progressive Parameter Efficient Transfer Learning for Semantic Segmentation Authors: Nan Zhou; Huiqun Wang; Yaoyan Zheng; Di Huang Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Parameter Efficient Transfer Learning; Semantic Segmentation; meta learning; and lifelong learning
3471	Prototype antithesis for biological few-shot class-incremental learning Authors: Binghao Liu; Han Yang; Fang Wan; Fei Gu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Biological Recognition; Few-Shot Learning; Class-Incremental Learning; Prototype Antithesis; meta learning; and lifelong learning
3472	PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection Authors: Qiuchen Wang; Zehui Chen; Chenhongyi Yang; Jiaming Liu; Zhenyu Li; Feng Zhao Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Incremental Object Detection; Catastrophic Forgetting; Pseudo Labeling; meta learning; and lifelong learning
3473	Query-based Knowledge Transfer for Heterogeneous Learning Environments Authors: Norah Alballa; Wenxuan Zhang; Ziquan Liu; Ahmed M. Abdelmoniem; Mohamed Elhoseiny; Marco Canini Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Collaborative Learning; Knowledge Distillation; Query-based Knowledge Transfer.; meta learning; and lifelong learning
3474	RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models Authors: Youngjun Lee; Doyoung Kim; Junhyeok Kang; Jihwan Bang; Hwanjun Song; Jae-Gil Lee 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; test-time adaptation; retrieval-augmented strategy; meta learning; and lifelong learning
3475	RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Authors: Nazia Tasnim; 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: reparameterization; weight decomposition; weight reconstruction; task-incremental learning; transfer learning; lifelong learning; incremental learning; meta le…
3476	Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts Authors: Minh Le; Chau Nguyen; Huy Nguyen; Quyen Tran; Trung Le; Nhat Ho Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: prefix-tuning; mixture of experts; theory; prompt; reparameterization; meta learning; and lifelong learning
3477	STAR: Stability-Inducing Weight Perturbation for Continual Learning Authors: Masih Eskandar; Tooba Imtiaz; Davin Hill; Zifeng Wang; Jennifer Dy Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Deep Learning; Weight Perturbation; Representation Learning; meta learning; and lifelong learning
3478	Selective Aggregation for Low-Rank Adaptation in Federated Learning Authors: Pengxin Guo; Shuang Zeng; Yanran Wang; Huijie Fan; Feifei Wang; Liangqiong Qu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: federated learning; low-rank adaptation; meta learning; and lifelong learning
3479	Selective Label Enhancement Learning for Test-Time Adaptation Authors: Yihao Hu; Congyu Qiao; Xin Geng; Ning Xu Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: label enhancement; test-time adaptation; distribution shift; meta learning; and lifelong learning
3480	Self-Normalized Resets for Plasticity in Continual Learning Authors: Vivek Farias; Adam Daniel Jozefiak Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Plasticity; Lifelong Learning; Neuron Resets; meta learning; and lifelong learning
3481	Semantic Aware Representation Learning for Lifelong Learning Authors: Fahad Sarfraz; Elahe Arani; Bahram Zonooz Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: lifelong learning; continual learning; sparsity; semantic relationships; sparse coding; meta learning; and lifelong learning
3482	Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation Authors: Md Imtiaz Hossain; Sharmen Akhter; Choong Seon Hong; Eui-Nam Huh Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: TeKAP; Teacher Knowledge Augmentation; Teacher Knowledge Perturbation; Single Teacher Multiple Perspectives; Synthetic Teacher; Knowledge Distillation; Ensembl…
3483	Skill Expansion and Composition in Parameter Space Authors: Tenglong Liu; Jianxiong Li; Yinan Zheng; Haoyi Niu; Yixing Lan; Xin Xu; Xianyuan Zhan Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Skill expansion; skill composition; parameter-efficient finetuning; decision making; meta learning; and lifelong learning
3484	Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises Authors: Zirun Guo; Tao Jin 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; Multimodal Noises; Transfer Learning; meta learning; and lifelong learning
3485	Spurious Forgetting in Continual Learning of Language Models Authors: Junhao Zheng; Xidi Cai; Shengjie Qiu; Qianli Ma Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Continual Learning; Language Models; Large Language Models; Catastrophic Forgetting; Incremental Learning; Lifelong Learning; meta learning; and lifelong learn…
3486	Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models Authors: Hanmo Liu; Shimin Di; Jialiang Wang; Zhili Wang; Jiachuan Wang; Xiaofang Zhou; Lei Chen Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Knowledge Graph; Auto Machine Learning; meta learning; and lifelong learning
3487	Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos Authors: Merey Ramazanova; Alejandro Pardo; Bernard Ghanem; Motasem Alfarra Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: missing modality; test-time adaptation; meta learning; and lifelong learning
3488	Test-time Adaptation for Image Compression with Distribution Regularization Authors: Kecheng Chen; Pingping Zhang; Tiexin Qin; Shiqi Wang; Hong Yan; Haoliang Li 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; image compression; entropy coding; meta learning; and lifelong learning
3489	Towards Learning High-Precision Least Squares Algorithms with Sequence Models Authors: Jerry Weihong Liu; Jessica Grogan; Owen M Dugan; Ashish Rao; Simran Arora; Atri Rudra; Christopher Re Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: high precision; least squares; algorithm learning; Transformers; gated convolutions; linear regression; in-context learning; meta learning; and lifelong learni…
3490	Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization Authors: Hao Dong; Eleni Chatzi; Olga Fink 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; Multimodal Learning; meta learning; and lifelong learning
3491	Tree of Attributes Prompt Learning for Vision-Language Models Authors: Tong Ding; Wanhua Li; Zhongqi Miao; Hanspeter Pfister Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Prompt Learning; Vision-Language Models; Tree of Attributes; meta learning; and lifelong learning
3492	Unsupervised Meta-Learning via In-Context Learning Authors: Anna Vettoruzzo; Lorenzo Braccaioli; Joaquin Vanschoren; Marlena Nowaczyk Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: meta-learning; unsupervised learning; in-context learning; meta learning; and lifelong learning
3493	Vision and Language Synergy for Rehearsal Free Continual Learning Authors: Muhammad Anwar Ma'sum; Mahardhika Pratama; Savitha Ramasamy; Lin Liu; H Habibullah; Ryszard Kowalczyk Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: continual learning; prompt dilemma; language descriptors; prompt generator; catasthropic forgetting; meta learning; and lifelong learning
3494	Why In-Context Learning Models are Good Few-Shot Learners? Authors: Shiguang Wu; Yaqing Wang; Quanming Yao 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; Meta-Learning; meta learning; and lifelong learning
3495	ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning Authors: Zihan Ye; Shreyank N Gowda; Shiming Chen; Xiaowei Huang; Haotian Xu; Fahad Shahbaz Khan; Yaochu Jin; Kaizhu Huang; Xiaobo Jin Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Zero-shot Learning; Generative Model; Diffusion Mechanism; Effective Learning; meta learning; and lifelong learning
3496	pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation Authors: Shentong Mo; Xufang Luo; Dongsheng Li Affiliation: 官方页面未列出 Official area / track: transfer learning, meta learning, and lifelong learning Recognition: Poster/Regular Keywords: Visual Adaptation; Visual Representation Learning; meta learning; and lifelong learning
3497	$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs Authors: Vlad Sobal; Mark Ibrahim; Randall Balestriero; Vivien Cabannes; Diane Bouchacourt; Pietro Astolfi; Kyunghyun Cho; Yann LeCun 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; vision language model; simclr; clip; self-supervised; semi-supervised; and supervised representation learning
3498	6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering Authors: Zhongpai Gao; Benjamin Planche; Meng Zheng; Anwesa Choudhuri; Terrence Chen; 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: 3D Gaussian splatting; 6D Gaussian splatting; volumetric rendering; self-supervised; semi-supervised; and supervised representation learning
3499	A Differentiable Rank-Based Objective for Better Feature Learning Authors: Krunoslav Lehman Pavasovic; Giulio Biroli; Levent Sagun Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: ranks; statistics; machine learning; feature learning; rank ordering correlation; fairness; self-supervised; semi-supervised; and supervised representation lea…
3500	A General Framework for Producing Interpretable Semantic Text Embeddings Authors: Yiqun Sun; Qiang Huang; Yixuan Tang; Anthony Kum Hoe Tung; Jun 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: Semantic Text Embedding; Interpretability; Question Generation; Question Answering; self-supervised; semi-supervised; and supervised representation learning
3501	ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks Authors: Prakash Chandra Chhipa; Gautam Vashishtha; Settur Jithamanyu; Rajkumar Saini; Mubarak Shah; Marcus Liwicki 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 Adversarial Training; Robustness; Self-supervised Learning; Adversarial Attacks; self-supervised; semi-supervised; and supervised representatio…
3502	Adaptive Length Image Tokenization via Recurrent Allocation Authors: Shivam Duggal; Phillip Isola; Antonio Torralba; William T. Freeman 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; Image Tokenization; Compression; self-supervised; semi-supervised; and supervised representation learning
3503	Advancing Out-of-Distribution Detection via Local Neuroplasticity Authors: Alessandro Canevaro; Julian Schmidt; Mohammad Sajad Marvi; Hang Yu; Georg Martius; Julian Jordan 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; Local Neuroplasticity; Kolmogorov-Arnold Networks; self-supervised; semi-supervised; and supervised representation learning
3504	Adversarial Training for Defense Against Label Poisoning Attacks Authors: Melis Ilayda Bal; Volkan Cevher; Michael Muehlebach Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: adversarial machine learning; label poisoning attacks; support vector machines; adversarial training; robust classification; bilevel optimization; projected gr…
3505	Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation Authors: Hossein Mirzaei; Mojtaba Nafez; Jafar Habibi; Mohammad Sabokrou; Mohammad Hossein Rohban 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; Adversarially Robust Anomaly Detection; Mitigating Spurious Negative Pairs; Anomaly Aware Contrastive Learning; self-supervised; semi-superv…
3506	Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings Authors: Hossein Mirzaei; Mackenzie W Mathis 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; Adversarial Robustness; Stability Theorem; Neural Ordinary Differential Equations; Lyapunov Theorem; self-supervised; semi-super…
3507	Affine Steerable Equivariant Layer for Canonicalization of Neural Networks Authors: Yikang Li; Yeqing Qiu; Yuxuan Chen; Zhouchen 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: equivariant networks; steerability; the affine group; equivariants; canonicalization; self-supervised; semi-supervised; and supervised representation learning
3508	An Information Criterion for Controlled Disentanglement of Multimodal Data Authors: Chenyu Wang; Sharut Gupta; Xinyi Zhang; Sana Tonekaboni; Stefanie Jegelka; Tommi Jaakkola; Caroline Uhler 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; Disentanglement; Self-Supervised Learning; Information Theory; self-supervised; semi-supervised; and supervised representat…
3509	Asymmetric Factorized Bilinear Operation for Vision Transformer Authors: Junjie Wu; Qilong Wang; Jiangtao Xie; Pengfei Zhu; Qinghua 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: Vision Transformer; Channel Mixer; Factorized Bilinear Operation; self-supervised; semi-supervised; and supervised representation learning
3510	AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection Authors: Wei Dai; 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: anomaly detection; hyper-parameter optimization; self-supervised; semi-supervised; and supervised representation learning
3511	Bayesian Regularization of Latent Representation Authors: Chukwudi Paul Obite; Zhi Chang; Keyan Wu; Shiwei Lan Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Dimensionality Reduction; Latent Variable Models; Representation Complexity Regularization; Variational Inference; Generative Models; self-supervised; semi-sup…
3512	Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality Authors: Ge Ya Luo; Gian Mario Favero; ZhiHao Luo; Alexia Jolicoeur-Martineau; Christopher Pal 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 quality metrics; Frechet Video Distance; Inflated 3D Convnet; VideoMAE; VJEPA; kernel metrics; self-supervised; semi-supervised; and supervised represent…
3513	Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness Authors: Qi Zhang; Yifei Wang; Jingyi Cui; Xiang Pan; Qi Lei; Stefanie Jegelka; Yisen 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: Representation Learning; Robustness; Polysemanticity; Superposition; self-supervised; semi-supervised; and supervised representation learning
3514	Beyond Random Augmentations: Pretraining with Hard Views Authors: Fabio Ferreira; Ivo Rapant; Jörg K.H. Franke; Frank Hutter 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; Data Augmentation; Pretraining; self-supervised; semi-supervised; and supervised representation learning
3515	Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation Authors: Sheng-Feng Yu; Jia-Jiun Yao; Wei-Chen Chiu 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; self-supervised learning; self-supervised; semi-supervised; and supervised representation learning
3516	Breaking the Reclustering Barrier in Centroid-based Deep Clustering Authors: Lukas Miklautz; Timo Klein; Kevin Sidak; Collin Leiber; Thomas Lang; Andrii Shkabrii; Sebastian Tschiatschek; Claudia Plant 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; unsupervised learning; representation learning; self-supervised; semi-supervised; and supervised representation learning
3517	Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding Authors: Yanming Liu; Xinyue Peng; Jiannan Cao; Shi Bo; Yanxin Shen; Tianyu Du; Sheng Cheng; Xun Wang; Jianwei Yin; Xuhong 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: Coreference Resolution; Long Contextual Understanding; Information Extraction; self-supervised; semi-supervised; and supervised representation learning
3518	C-CLIP: Multimodal Continual Learning for Vision-Language Model Authors: Wenzhuo Liu; Fei Zhu; Longhui Wei; Qi 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: Vision-Language Models; Continual Representation Learning; self-supervised; semi-supervised; and supervised representation learning
3519	CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement Authors: Aming WU; Cheng Deng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Molecular Representation; Generalization; Feedback Disentanglement; Concepts; self-supervised; semi-supervised; and supervised representation learning
3520	CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale Authors: ZeMing Gong; Austin Wang; Xiaoliang Huo; Joakim Bruslund Haurum; Scott C. Lowe; Graham W. Taylor; Angel X Chang 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; Contrastive Learning; DNA Barcodes; Taxonomic Classification; Fine-grained Classification; Biodiversity Monitoring; self-supervised; semi-…
3521	COME: Test-time Adaption by Conservatively Minimizing Entropy Authors: Qingyang Zhang; Yatao Bian; Xinke Kong; Peilin Zhao; Changqing 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: Test-time adaption; Out-of-distribution generalization; self-supervised; semi-supervised; and supervised representation learning
3522	CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning Authors: Shaofeng Zhang; Qiang Zhou; Sitong Wu; Haoru Tan; Zhibin Wang; Jinfa Huang; 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: Self-supervised learning; Distillation; self-supervised; semi-supervised; and supervised representation learning
3523	CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features Authors: Po-han Li; Sandeep P. Chinchali; ufuk topcu 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; relative representations; self-supervised; semi-supervised; and supervised representation learning
3524	Captured by Captions: On Memorization and its Mitigation in CLIP Models Authors: Wenhao Wang; Adam Dziedzic; Grace C. Kim; Michael Backes; Franziska Boenisch Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: memorization; multi-modal; clip; vision language models; self-supervised; semi-supervised; and supervised representation learning
3525	CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking Authors: Tarun Suresh; Revanth Gangi Reddy; Yifei Xu; Zach Nussbaum; Andriy Mulyar; Brandon Duderstadt; Heng Ji Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: code representation learning; code re-ranking; contrastive learning; self-supervised; semi-supervised; and supervised representation learning
3526	ColPali: Efficient Document Retrieval with Vision Language Models Authors: Manuel Faysse; Hugues Sibille; Tony Wu; Bilel Omrani; Gautier Viaud; CELINE HUDELOT; Pierre Colombo Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: document embeddings; vision language models; late interaction; document retrieval; information retrieval; self-supervised; semi-supervised; and supervised repr…
3527	ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering Authors: Zhixin Li; Yuheng Jia 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; long-tailed deep clustering; unsupervised learning; self-supervised; semi-supervised; and supervised representation learning
3528	Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions Authors: Sagar Shrestha; Xiao 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: unsupervised learning; identifiability; unknown latent dimension; self-supervised; semi-supervised; and supervised representation learning
3529	Contextual Document Embeddings Authors: John Xavier Morris; Alexander M Rush 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; embeddings; retrieval; context; contrastive; self-supervised; semi-supervised; and supervised representation learning
3530	Contrastive Learning from Synthetic Audio Doppelgängers Authors: Manuel Cherep; Nikhil Singh Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: synthetic data; audio; contrastive learning; representation learning; self-supervised; semi-supervised; and supervised representation learning
3531	Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion Authors: Marco Mistretta; Alberto Baldrati; Lorenzo Agnolucci; Marco Bertini; 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: intra-modal misalignment; CLIP; modality gap; modality inversion; textual inversion; visual inversion; image retrieval; text retrieval; image classification; s…
3532	CtD: Composition through Decomposition in Emergent Communication Authors: Boaz Carmeli; Ron Meir; Yonatan Belinkov Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Emergent communication; Compositionality; Codebook learning; self-supervised; semi-supervised; and supervised representation learning
3533	DELIFT: Data Efficient Language model Instruction Fine-Tuning Authors: Ishika Agarwal; Krishnateja Killamsetty; Lucian Popa; Marina Danilevsky 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 Efficient Instruction Fine-Tuning; Data Subset Selection; Submodular Functions; self-supervised; semi-supervised; and supervised representation learning
3534	DRL: Decomposed Representation Learning for Tabular Anomaly Detection Authors: Hangting Ye; He Zhao; Wei Fan; Mingyuan Zhou; Dan dan Guo; Yi Chang 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; Tabular data; Tabular representation learning; self-supervised; semi-supervised; and supervised representation learning
3535	Data Pruning by Information Maximization Authors: Haoru Tan; Sitong Wu; Wei Huang; Shizhen Zhao; XIAOJUAN QI 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 Pruning; Deep Learning; self-supervised; semi-supervised; and supervised representation learning
3536	Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks Authors: Siddharth Joshi; Jiayi Ni; Baharan Mirzasoleiman 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; self-supervised learning; self-supervised; semi-supervised; and supervised representation learning
3537	DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery Authors: Yuanpei Liu; Kai 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: Generalized Category Discovery; Semi-supervised Learning; Out-of-distribution Detection; self-supervised; semi-supervised; and supervised representation learni…
3538	Deconstructing Denoising Diffusion Models for Self-Supervised Learning Authors: Xinlei Chen; Zhuang Liu; Saining Xie; Kaiming He Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: denoising diffusion models; denoising autoencoder; self-supervised learning; self-supervised; semi-supervised; and supervised representation learning
3539	Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs Authors: Xin Gao; Jian Pu 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 Learning; Representation Learning; Multimodal VAEs; Generative Models; self-supervised; semi-supervised; and supervised representation learning
3540	Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Authors: Chris Kolb; Tobias Weber; Bernd Bischl; David Rügamer Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Sparsity; Regularization; Neural Networks; Overparametrization; self-supervised; semi-supervised; and supervised representation learning
3541	Difference-of-submodular Bregman Divergence Authors: Masanari Kimura; Takahiro Kawashima; Tasuku Soma; Hideitsu Hino Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Bregman Divergence; Permutation-invariant neural networks; Metric learning; Submodular functions; self-supervised; semi-supervised; and supervised representati…
3542	Diffusion Feedback Helps CLIP See Better Authors: Wenxuan Wang; Quan Sun; Fan Zhang; Yepeng Tang; Jing Liu; Xinlong 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: CLIP Model; Diffusion Model; Generative Feedback; Representation Learning; self-supervised; semi-supervised; and supervised representation learning
3543	Discovering Group Structures via Unitary Representation Learning Authors: Dongsung Huh 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 theory; representation theory; representation learning; symmetry discovery; symbolic relationship; self-supervised; semi-supervised; and supervised repre…
3544	Discrete Latent Plans via Semantic Skill Abstractions Authors: Haobin Jiang; Jiangxing Wang; Zongqing 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: Hierarchical Learning; Skill Learning; Imitation Learning; self-supervised; semi-supervised; and supervised representation learning
3545	Disentangled Representation Learning with the Gromov-Monge Gap Authors: Théo Uscidda; Luca Eyring; Karsten Roth; Fabian J Theis; Zeynep Akata; marco cuturi Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Disentangled Representational Learning; Optimal Transport; Geometric Learning; self-supervised; semi-supervised; and supervised representation learning
3546	Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Authors: Guangkun Nie; Gongzheng Tang; Shenda Hong 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 imbalanced regression; sparse data region optimization; self-supervised; semi-supervised; and supervised representation learning
3547	Distance-Based Tree-Sliced Wasserstein Distance Authors: Hoang V. Tran; Minh-Khoi Nguyen-Nhat; Huyen Trang Pham; Thanh Chu; Tam Le; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: tree-sliced wasserstein distance; optimal transport; equivariance; self-supervised; semi-supervised; and supervised representation learning
3548	Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning Authors: Yilun Li; Miaomiao Cheng; Xu Han; Wei Song 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-language prompt tuning; few-shot learning; zero-shot learning; self-supervised; semi-supervised; and supervised representation learning
3549	Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning Authors: Hanlin Yang; Jian Yao; Weiming Liu; Qing Wang; Hanmin Qin; Kong hansheng; Kirk Tang; Jiechao Xiong; Chao Yu; Kai Li; Junliang Xing; Hongwu Chen; Juchao Zhuo; QIANG FU; Yang Wei; 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: Imitation Learning; Policy Diversity; Offline Learning; self-supervised; semi-supervised; and supervised representation learning
3550	Dreamweaver: Learning Compositional World Models from Pixels Authors: Junyeob Baek; Yi-Fu Wu; Gautam Singh; Sungjin Ahn 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 world models; unsupervised object-centric learning; self-supervised; semi-supervised; and supervised representation learning
3551	Duoduo CLIP: Efficient 3D Understanding with Multi-View Images Authors: Han-Hung Lee; Yiming Zhang; Angel X Chang 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 Representation; 3D Understanding; self-supervised; semi-supervised; and supervised representation learning
3552	Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining Authors: Daouda Sow; Herbert Woisetschläger; Saikiran Bulusu; Shiqiang Wang; Hans Arno Jacobsen; Yingbin Liang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: sample reweighing; large language models; pretraining; self-supervised; semi-supervised; and supervised representation learning
3553	ESE: Espresso Sentence Embeddings Authors: Xianming LI; Zongxi Li; Jing Li; Haoran Xie; Qing 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: sentence embeddings; semantic textual similarity; information retrieval; retrieval-augmented generation; self-supervised; semi-supervised; and supervised repre…
3554	Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax Authors: Ivan Butakov; Alexander Semenenko; Alexander Tolmachev; Andrey Gladkov; Marina Munkhoeva; 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; deep infomax; self-supervised learning; representation learning; distribution matching; Gaussian embeddings; self-supervised; semi-supervis…
3555	Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training Authors: Boyu Liu; Haoyu Huang; Linlin Yang; Yanjing Li; Guodong Guo; Xianbin Cao; Baochang 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: Low-Bit Quantization; Multi-Task Learning; Co-Training; Quantization-Aware Training; Quantization Scale; self-supervised; semi-supervised; and supervised repre…
3556	ElasticTok: Adaptive Tokenization for Image and Video Authors: Wilson Yan; Volodymyr Mnih; Aleksandra Faust; Matei Zaharia; Pieter Abbeel; Hao 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: adaptive representation; adaptive tokenization; autoencoder; self-supervised; semi-supervised; and supervised representation learning
3557	Elliptic Loss Regularization Authors: Ali Hasan; Haoming Yang; Yuting Ng; Vahid Tarokh Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: regularizer; loss landscape; diffusion; elliptic; self-supervised; semi-supervised; and supervised representation learning
3558	Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary Authors: Yuena Lin; Yiyuan Wang; Gengyu Lyu; Yongjian Deng; Haichun Cai; Huibin Lin; Haobo Wang; Zhen 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: Multi-View Classification; Multi-Scale Alignment; Fuzzy Logic; Decision Boundary; self-supervised; semi-supervised; and supervised representation learning
3559	Equivariant Masked Position Prediction for Efficient Molecular Representation Authors: Junyi An; Chao Qu; Yun-Fei Shi; XinHao Liu; Qianwei Tang; Fenglei Cao; Yuan Qi 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; Graph Neural Network; Molecular Property Prediction; self-supervised; semi-supervised; and supervised representation learning
3560	Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval Authors: Mohammad Omama; Po-han Li; Sandeep P. Chinchali 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 retrieval; efficiency; foundation models; self-supervised; semi-supervised; and supervised representation learning
3561	Exploring Learning Complexity for Efficient Downstream Dataset Pruning Authors: Wenyu Jiang; Zhenlong Liu; Zejian Xie; Songxin Zhang; 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: data efficiency; self-supervised; semi-supervised; and supervised representation learning
3562	Exploring a Principled Framework for Deep Subspace Clustering Authors: Xianghan Meng; Zhiyuan Huang; Wei He; Xianbiao Qi; Rong Xiao; Chun-Guang 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: deep subspace clustering; self-expressive model; representation learning; self-supervised; semi-supervised; and supervised representation learning
3563	Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Authors: Amir Mohammad Karimi Mamaghan; Samuele Papa; Karl Henrik Johansson; Stefan Bauer; Andrea Dittadi 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; Foundation Models; self-supervised; semi-supervised; and supervised representation learning
3564	FACTS: A Factored State-Space Framework for World Modelling Authors: Li Nanbo; Firas Laakom; Yucheng XU; Wenyi Wang; Jürgen Schmidhuber Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: sequence modelling; spatial-temporal modelling; world modelling; multivariate time-series forecasting; object-centric representation learning; unsupervised lea…
3565	For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Authors: Muthu Chidambaram; Rong 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: feature learning; mixup; label smoothing; spurious correlations; self-supervised; semi-supervised; and supervised representation learning
3566	Forget the Data and Fine-Tuning! Just Fold the Network to Compress Authors: Dong Wang; Haris Šikić; Lothar Thiele; Olga Saukh 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 compression; model folding; model merging; self-supervised; semi-supervised; and supervised representation learning
3567	Forte : Finding Outliers with Representation Typicality Estimation Authors: Debargha Ganguly; Warren Richard Morningstar; Andrew Seohwan Yu; Vipin Chaudhary 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 Models; Out-of-Distribution Detection (OOD); self-supervised; semi-supervised; and supervised representation learning
3568	Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning Authors: Amin Karimi Monsefi; Mengxi Zhou; Nastaran Karimi Monsefi; Ser-Nam Lim; Wei-Lun Chao; Rajiv Ramnath 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; Frequency domain analysis; Knowledge distillation; Vision Self-Supervised Learning; Pre-training; self-supervised; semi-supervised; a…
3569	From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs Authors: Alireza Rezazadeh; Zichao Li; Wei Wei; Yujia Bao Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Tree-based Memory; Inference-time Reasoning; Large language models; Long-term memory; self-supervised; semi-supervised; and supervised representation learning
3570	GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost Authors: Xinyi Shang; Peng Sun; Tao 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: Dataset Distillation; Soft Label; self-supervised; semi-supervised; and supervised representation learning
3571	GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching Authors: Ziming Zhang; Fangzhou Lin; Haotian Liu; Jose Morales; Haichong Zhang; Kazunori Yamada; Vijaya B Kolachalama; Venkatesh Saligrama Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Set-to-set matching; Gumbel prior distributions; self-supervised; semi-supervised; and supervised representation learning
3572	GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks Authors: Shuhan Song; Ping Li; Ming Dun; Maolei Huang; Huawei Cao; Xiaochun Ye Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: pre-training; prompt tuning; robustness; adversarial attacks.; self-supervised; semi-supervised; and supervised representation learning
3573	GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians Authors: Shuyi Jiang; Qihao Zhao; Hossein Rahmani; De Wen Soh; Jun Liu; Na 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: 3D Decompostion; 3D Reconstruction; 3D Editing; self-supervised; semi-supervised; and supervised representation learning
3574	Generalized Behavior Learning from Diverse Demonstrations Authors: Varshith Sreeramdass; Rohan R Paleja; Letian Chen; Sanne van Waveren; Matthew Gombolay Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Behavior Discovery; Demonstrator Heterogeneity; self-supervised; semi-supervised; and supervised representation learning
3575	Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions Authors: Lingjie Yi; Jiachen Yao; Weimin Lyu; Haibin Ling; Raphael Douady; Chao 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; representation learning; long-tail recgonition; theory; neural collapse; self-supervised; semi-supervised; and supervised representation…
3576	Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization Authors: Yuchen Sun; Kejun 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: Dictionary learning; overcomplete; sparse; identifiability; self-supervised; semi-supervised; and supervised representation learning
3577	Gramian Multimodal Representation Learning and Alignment Authors: Giordano Cicchetti; Eleonora Grassucci; Luigi Sigillo; 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 Representation Learning; Multimodal Alignment; Multimodal Contrastive Learning; self-supervised; semi-supervised; and supervised representation lear…
3578	Group Downsampling with Equivariant Anti-aliasing Authors: Md Ashiqur Rahman; Raymond A. Yeh Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: equivariance; downsampling; signal processing; self-supervised; semi-supervised; and supervised representation learning
3579	HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS Authors: Armand Foucault; Francois Malgouyres; Franck Mamalet Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Recurrent neural networks; quantization; orthogonal matrices; Hadamard matrices; self-supervised; semi-supervised; and supervised representation learning
3580	HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters Authors: Yujie Mo; Runpeng Yu; Xiaofeng Zhu; Xinchao 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: Heterogeneous graph; Pre-trained models; Adapter-tuning; self-supervised; semi-supervised; and supervised representation learning
3581	HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts Authors: Hongjun Wang; Sagar Vaze; Kai 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: Generalized Category Discovery; self-supervised; semi-supervised; and supervised representation learning
3582	I-Con: A Unifying Framework for Representation Learning Authors: Shaden Naif Alshammari; John R. Hershey; Axel Feldmann; William T. Freeman; Mark Hamilton 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; unsupervised learning; clustering; dimensionality reduction; kmeans; contrastive learning; information theory; self-supervised; semi-s…
3583	IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION Authors: Chuanyang 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: Lightweight Networks; Efficient Networks; Vision Transformers; Classification; self-supervised; semi-supervised; and supervised representation learning
3584	Identification of Intermittent Temporal Latent Process Authors: Yuke Li; Yujia Zheng; Guangyi Chen; Kun Zhang; Heng 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: unsupervised representation learning; self-supervised; semi-supervised; and supervised representation learning
3585	Improving Deep Regression with Tightness Authors: Shihao Zhang; Yuguang Yan; Angela Yao Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: regression representation; ordinality; tightness; depth estimation; age estimation; self-supervised; semi-supervised; and supervised representation learning
3586	Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks Authors: Bhaskar Mukhoty; Hilal AlQuabeh; Bin 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: Spiking Neural Network; Adversarial Examples; Adversarial Robustness; Rate Encoding; self-supervised; semi-supervised; and supervised representation learning
3587	Improving Neural Network Accuracy by Concurrently Training with a Twin Network Authors: Benjamin Vandersmissen; Lucas Deckers; Jose Oramas 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; Representation Learning; Regularization; self-supervised; semi-supervised; and supervised representation learning
3588	In-Context Editing: Learning Knowledge from Self-Induced Distributions Authors: Siyuan Qi; Bangcheng Yang; Kailin Jiang; Xiaobo Wang; Jiaqi Li; Yifan Zhong; Yaodong Yang; Zilong 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: Knowledge Editing; In-Context Learning; Language Models; self-supervised; semi-supervised; and supervised representation learning
3589	Interaction Asymmetry: A General Principle for Learning Composable Abstractions Authors: Jack Brady; Julius von Kügelgen; Sebastien Lachapelle; Simon Buchholz; Thomas Kipf; Wieland Brendel Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: disentanglement; compositional generalization; representation learning; object-centric learning; identifiability; unsupervised learning; out-of-domain generali…
3590	Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations Authors: Lorenzo Basile; Santiago Acevedo; Luca Bortolussi; Fabio Anselmi; Alex 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: intrinsic dimension; nonlinear correlation; multimodal representations; representation similarity; self-supervised; semi-supervised; and supervised representat…
3591	Isometric Regularization for Manifolds of Functional Data Authors: Hyeongjun Heo; Seonghun Oh; Jae Yong Lee; Young Min Kim; Yonghyeon 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: Isometric regularization; Geometric reularization; Implicit Neural Representation; Manifold Learning; Neural SDF; Neural BRDF; Neural Operator; self-supervised…
3592	JPEG Inspired Deep Learning Authors: Ahmed H. Salamah; Kaixiang Zheng; Yiwen Liu; 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: Deep Learning; JPEG Compression; Quantization; Non-linearity; self-supervised; semi-supervised; and supervised representation learning
3593	Large Convolutional Model Tuning via Filter Subspace Authors: Wei Chen; Zichen Miao; Qiang Qiu 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 Fine-tuning; Filter Decomposition; Filter Subspace; self-supervised; semi-supervised; and supervised representation learning
3594	Learn hybrid prototypes for multivariate time series anomaly detection Authors: Chun-Guo 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: prototypes; time series; anomaly detection; self-supervised; semi-supervised; and supervised representation learning
3595	Learning Mask Invariant Mutual Information for Masked Image Modeling Authors: Tao Huang; Yanxiang Ma; Shan You; Chang 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: Masked image modeling; Self-supervised learning; Visual pretraining; self-supervised; semi-supervised; and supervised representation learning
3596	Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport Authors: Siqi Zeng; Sixian Du; Makoto Yamada; Han 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: hierarchical representation; representation learning; optimal transport; self-supervised; semi-supervised; and supervised representation learning
3597	Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer Authors: Hao Luo; Zongqing 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: Learning from Videos; Video-Conditioned Policy; self-supervised; semi-supervised; and supervised representation learning
3598	Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization Authors: Utku Umur ACIKALIN; Aaron M Ferber; Carla P Gomes 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; unsupervised learning; graph neural networks; self-supervised; semi-supervised; and supervised representation learning
3599	Looped Transformers for Length Generalization Authors: Ying Fan; Yilun Du; Kannan Ramchandran; Kangwook 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: Transformers; self-supervised; semi-supervised; and supervised representation learning
3600	MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval Authors: Yanzhe Chen; Zhiwen Yang; Jinglin Xu; Yuxin Peng 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; Multi-turn retrieval; Retrospective-based; Composed image retrieval; self-supervised; semi-supervised; and supervised representation learning
3601	MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations Authors: Benedikt Alkin; Lukas Miklautz; Sepp Hochreiter; Johannes Brandstetter 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; masked image modeling; instance discrimination; computer vision; contrastive learning; self-supervised; semi-supervised; and supervis…
3602	Making Text Embedders Few-Shot Learners Authors: Chaofan Li; Minghao Qin; Shitao Xiao; Jianlyu Chen; Kun Luo; Defu Lian; Yingxia Shao; Zheng 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: large language model; embedding model; in-context learning; self-supervised; semi-supervised; and supervised representation learning
3603	Matérn Kernels for Tunable Implicit Surface Reconstruction Authors: Maximilian Weiherer; Bernhard Egger Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: surface reconstruction; kernel methods; neural tangent kernel; self-supervised; semi-supervised; and supervised representation learning
3604	Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets Authors: Yudong Chen; Xuwei Xu; Frank de Hoog; 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: Knowledge distillation; dataset pruning; image recognition; self-supervised; semi-supervised; and supervised representation learning
3605	Memory Mosaics Authors: Jianyu Zhang; Niklas Nolte; Ranajoy Sadhukhan; Beidi Chen; Leon Bottou Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: predictive disentanglement; Associative memory; language model; self-supervised; semi-supervised; and supervised representation learning
3606	MetaOOD: Automatic Selection of OOD Detection Models Authors: Yuehan Qin; Yichi Zhang; Yi Nian; Xueying Ding; Yue 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: Out-of-distribution Detection; Meta-learning; Language Modeling; AutoML; self-supervised; semi-supervised; and supervised representation learning
3607	Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning Authors: Oleh Kolner; Thomas Ortner; Stanisław Woźniak; Angeliki Pantazi 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 reasoning; active vision; out-of-distribution; generalization; sample efficiency; relational features; brain-inspired; neuro-inspired; self-supervised;…
3608	Mitigate the Gap: Improving Cross-Modal Alignment in CLIP Authors: Sedigheh Eslami; 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: CLIP; modality gap; cross-modal alignment; multi-modal representation learning; self-supervised; semi-supervised; and supervised representation learning
3609	Mixture of In-Context Prompters for Tabular PFNs Authors: Derek Qiang Xu; F Olcay Cirit; Reza Asadi; Yizhou Sun; 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: Prior-Fitted Networks; Tabular Learning; Sparse Mixture of Experts.; self-supervised; semi-supervised; and supervised representation learning
3610	Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning Authors: Baoqi Pei; Yifei Huang; Jilan Xu; Guo Chen; Yuping He; Lijin Yang; Yali Wang; Weidi Xie; Yu Qiao; Fei Wu; Limin 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 representation learning; Egocentric video; Action recognition; self-supervised; semi-supervised; and supervised representation learning
3611	More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing Authors: Sagi Shaier; Francisco Pereira; Katharina von der Wense; Lawrence Hunter; Matt Jones 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; Mixture of Experts; Modularity; Sparsity; Conditional Computation; self-supervised; semi-supervised; and supervised representation learning
3612	Morphing Tokens Draw Strong Masked Image Models Authors: Taekyung Kim; Byeongho Heo; Dongyoon 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: Self-supervised learning; self-supervised; semi-supervised; and supervised representation learning
3613	Multi-Label Test-Time Adaptation with Bound Entropy Minimization Authors: Xiangyu Wu; Feng Yu; Yang Yang; Qing-Guo Chen; 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: Vision-Language Models; Zero-Shot Multi-Label Generalization; Test-Time Adaptation; self-supervised; semi-supervised; and supervised representation learning
3614	Multi-Scale Fusion for Object Representation Authors: Rongzhen Zhao; Vivienne Huiling Wang; Juho Kannala; Joni Pajarinen 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 (OCL); Variational Autoencoder (VAE); Multi-Scale; Unsupervised Object Segmentation; self-supervised; semi-supervised; and supervised r…
3615	Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation Authors: Sungnyun Kim; Sungwoo Cho; Sangmin Bae; Kangwook Jang; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: robust audio-visual speech recognition; audio-visual corruption; multimodal representation learning; self-supervised; semi-supervised; and supervised represent…
3616	Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine Authors: Konstantin Hemker; Nikola Simidjievski; Mateja Jamnik 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; deep learning; fusion; biomedicine; model merging; self-supervised; semi-supervised; and supervised representation learning
3617	Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Authors: Naoya Hasegawa; Issei Sato 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; imbalanced learning; neural collapse; logit adjustment; multiplicative logit adjustment; machine learning; learning theory; self-super…
3618	Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning Authors: Sheng Li; Qitao Tan; Yue Dai; Zhenglun Kong; Tianyu Wang; Jun Liu; Ao Li; Ninghao Liu; Yufei Ding; Xulong Tang; Geng Yuan 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 Self-Supervised Learning; Vision Transformer; Token Pruning; self-supervised; semi-supervised; and supervised representation learning
3619	NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance Authors: Raphael T. Husistein; Markus Reiher; Marco Eckhoff Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Network Expressivity by Activation Rank (NEAR); Effective Rank; Neural Architecture Search; self-supervised; semi-supervised; and supervised representation lea…
3620	NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval Authors: Sepanta Zeighami; Zac Wellmer; Aditya Parameswaran 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 similarity search; pre-trained embedding model; fine-tuning; self-supervised; semi-supervised; and supervised representation learning
3621	Near, far: Patch-ordering enhances vision foundation models' scene understanding Authors: Valentinos Pariza; Mohammadreza Salehi; Gertjan J. Burghouts; Francesco Locatello; Yuki M Asano Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Dense self-supervised learning; Self-supervised learning; Unsupervised semantic segmentation; In-context scene understanding; self-supervised; semi-supervised;…
3622	Object-Centric Pretraining via Target Encoder Bootstrapping Authors: Nikola Đukić; Tim Lebailly; Tinne Tuytelaars 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; bootstrapping; self-supervised pretraining; self-supervised; semi-supervised; and supervised representation learning
3623	On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning Authors: Bokun Wang; Yunwen Lei; Yiming Ying; 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: Discriminative Probabilistic Modeling; Self-Supervised Representation Learning; Multiple Importance Sampling; self-supervised; semi-supervised; and supervised…
3624	On the Byzantine-Resilience of Distillation-Based Federated Learning Authors: Christophe Roux; 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: self-supervised; semi-supervised; and supervised representation learning
3625	On the Transfer of Object-Centric Representation Learning Authors: Aniket Rajiv Didolkar; Andrii Zadaianchuk; Anirudh Goyal; Michael Curtis Mozer; Yoshua Bengio; Georg Martius; Maximilian Seitzer 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; object-centric learning; object-centric representation learning; unsupervised learning; transfer; zero-shot; generalization; self-supe…
3626	Online Clustering with Nearly Optimal Consistency Authors: T-H. Hubert Chan; Shaofeng H.-C. Jiang; Tianyi Wu; Mengshi 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: clustering; online; consistency; self-supervised; semi-supervised; and supervised representation learning
3627	Optimal Brain Apoptosis Authors: Mingyuan Sun; Zheng Fang; Jiaxu Wang; Junjie Jiang; Delei Kong; Chenming Hu; Yuetong Fang; Renjing 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: Network Pruning; Efficient Maching Learning; Hessian Matrix; self-supervised; semi-supervised; and supervised representation learning
3628	Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Authors: Hengzhuang Li; Teng 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: Trustworthy Machine Learning; Out-of-Distribution Detection; Outlier Detection; self-supervised; semi-supervised; and supervised representation learning
3629	PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis Authors: Satoki Ishikawa; Makoto Yamada; Han Bao; Yuki Takezawa Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Non contrastive learning; Predictive coding; Eigenvalue dynamics; Temporal prediction hypothesis; self-supervised; semi-supervised; and supervised representati…
3630	PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection Authors: Botao Ren; Xue Yang; Yi Yu; Junwei Luo; Zhidong Deng Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Oriented Object Detection; Point Supervised Object Detection; self-supervised; semi-supervised; and supervised representation learning
3631	PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos Authors: Alex N Wang; Christopher Hoang; Yuwen Xiong; Yann LeCun; 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: computer vision; representation learning; self-supervised learning; egocentric video; visual representation; self-supervised; semi-supervised; and supervised r…
3632	Projection Head is Secretly an Information Bottleneck Authors: Zhuo Ouyang; Kaiwen Hu; Qi Zhang; Yifei Wang; Yisen 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: Projection Head; Contrastive Learning; Self-supervised Learning; self-supervised; semi-supervised; and supervised representation learning
3633	ProtoSnap: Prototype Alignment For Cuneiform Signs Authors: Rachel Mikulinsky; Morris Alper; Shai Gordin; Enrique Jiménez; Yoram Cohen; Hadar Averbuch-Elor 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 for social sciences; Ancient character recognition; generative models; self-supervised; semi-supervised; and supervised representation learning
3634	Provable unlearning in topic modeling and downstream tasks Authors: Stanley Wei; Sadhika Malladi; Sanjeev Arora; Amartya Sanyal 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; topic models; language models; self-supervised; semi-supervised; and supervised representation learning
3635	Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount Authors: Yanbiao Ma; Wei Dai; Jiayi 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: Long-tailed recognition; Class Imbalanced; Image processing; self-supervised; semi-supervised; and supervised representation learning
3636	Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Authors: Yingwen Wu; Ruiji Yu; Xinwen Cheng; Zhengbao He; Xiaolin 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: Out-of-Distribution Detection; Feature Separation; Neural Collapse; self-supervised; semi-supervised; and supervised representation learning
3637	Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks Authors: Théophane Vallaeys; Matthew J. Muckley; Jakob Verbeek; Matthijs Douze 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 compression; large-scale retrieval; neural compression; quantization; self-supervised; semi-supervised; and supervised representation learning
3638	Ranking-aware adapter for text-driven image ordering with CLIP Authors: Wei-Hsiang Yu; Yen-Yu Lin; Ming-Hsuan Yang; Yi-Hsuan Tsai 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; Learning-to-Rank; self-supervised; semi-supervised; and supervised representation learning
3639	Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model Authors: Rundong He; Yicong Dong; Lan-Zhe Guo; Yilong Yin; Tailin 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: Safe Semi-Supervised Learning; Unseen-Class Unlabeled Data; self-supervised; semi-supervised; and supervised representation learning
3640	Re-Imagining Multimodal Instruction Tuning: A Representation View Authors: Yiyang Liu; James Chenhao Liang; Ruixiang Tang; Yugyung Lee; MAJID RABBANI; Sohail Dianat; Raghuveer Rao; Lifu Huang; Dongfang Liu; Qifan Wang; Cheng 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: Representation Tuning; Large Multimodal Models; Parameter-efficient Fine-tuning; self-supervised; semi-supervised; and supervised representation learning
3641	Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model Authors: Jiarui Jin; Haoyu Wang; Hongyan Li; Jun Li; Jiahui Pan; Shenda Hong Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Electrocardiogram; ECG; Cardiac signal; Self-supervised learning; ECG language processing; self-supervised; semi-supervised; and supervised representation lear…
3642	Refining CLIP's Spatial Awareness: A Visual-Centric Perspective Authors: Congpei Qiu; Yanhao Wu; Wei Ke; Xiuxiu Bai; Tong 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: Self-distillation; CLIP; Open-vocabulary dense prediction; self-supervised; semi-supervised; and supervised representation learning
3643	Remove Symmetries to Control Model Expressivity and Improve Optimization Authors: Liu Ziyin; Yizhou Xu; Isaac L. Chuang 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 capacity; symmetry; optimization; self-supervised; semi-supervised; and supervised representation learning
3644	Repetition Improves Language Model Embeddings Authors: Jacob Mitchell Springer; Suhas Kotha; Daniel Fried; Graham Neubig; Aditi Raghunathan Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: embeddings; self-supervised; semi-supervised; and supervised representation learning
3645	Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance Authors: Siyu Sun; Han Lu; Jiangtong Li; Yichen Xie; Tianjiao Li; Xiaokang Yang; Liqing Zhang; 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: Long-Tailed Recognition and Decoupled Training; self-supervised; semi-supervised; and supervised representation learning
3646	Rethinking Multiple-Instance Learning From Feature Space to Probability Space Authors: Zhaolong Du; Shasha Mao; Xuequan Lu; Mengnan Qi; Yimeng Zhang; Jing Gu; Licheng 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: Weakly-supervised Learning; self-supervised; semi-supervised; and supervised representation learning
3647	Rethinking Spiking Neural Networks from an Ensemble Learning Perspective Authors: Yongqi Ding; Lin Zuo; Mengmeng Jing; Pei He; Hanpu Deng 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 network; Membrane potential smoothing; Neuromorphic object recognition; self-supervised; semi-supervised; and supervised representation learning
3648	Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later Authors: Han-Jia Ye; Huai-Hong Yin; De-Chuan Zhan; Wei-Lun Chao 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; tabular machine learning; deep tabular models; self-supervised; semi-supervised; and supervised representation learning
3649	Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control Authors: Gezheng Xu; Hui Guo; Li Yi; Charles Ling; Boyu Wang; Grace Yi 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; Unsupervised Domain Adaptation; self-supervised; semi-supervised; and supervised representation learning
3650	Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis Authors: Hyun woo Lee; Hayoung Choi; Hyunju Kim 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 initialization; Signal propagation; Physics informed neural networks; self-supervised; semi-supervised; and supervised representation learning
3651	SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation Authors: Pengfei Chen; Lingxi Xie; Xinyue Huo; Xuehui Yu; XIAOPENG ZHANG; Yingfei Sun; Zhenjun Han; Qi 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: Versatile Segmentation; Composable Prompts; Open-vocabulary; self-supervised; semi-supervised; and supervised representation learning
3652	SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting Authors: Huajian Huang; Yingshu Chen; Longwei Li; Hui Cheng; Tristan Braud; Yajie Zhao; Sai-Kit Yeung 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 Calibration; Gaussian Splatting; Radiance Field; Omnidirectional Vision; Bundle Adjustment; self-supervised; semi-supervised; and supervised representatio…
3653	SFESS: Score Function Estimators for $k$-Subset Sampling Authors: Klas Wijk; Ricardo Vinuesa; Hossein Azizpour Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: subset; top-k; differentiable; gradient estimation; score function estimator; variance reduction; self-supervised; semi-supervised; and supervised representati…
3654	SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes Authors: Tony Alex; Sara Atito; Armin Mustafa; Muhammad Awais; Philip J B Jackson 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; audio representation learning; self-supervised; semi-supervised; and supervised representation learning
3655	SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning Authors: Lun Huang; Qiang Qiu; Guillermo Sapiro 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; orthogonal low-rank embedding; self-supervised; semi-supervised; and supervised representation learning
3656	Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires Authors: Paidamoyo Chapfuwa; Ilker Demirel; Lorenzo Pisani; Javier Zazo; Elon Portugaly; H. Jabran Zahid; Julia Greissl Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Immunomics; T-cell Receptor Embeddings; GloVe; Random Projection Theory; Scaling; Unsupervised Representation Learning; self-supervised; semi-supervised; and s…
3657	Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection Authors: Chunlei Li; Yilei Shi; Jingliang Hu; 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: unsupervised anomaly detection; medical images; contrastive reverse distillation; student-teacher; self-supervised; semi-supervised; and supervised representat…
3658	Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure Authors: Can Pouliquen; Mathurin Massias; Titouan Vayer Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: sparsity; graphical lasso; lasso; deep learning; neural networks; self-supervised; semi-supervised; and supervised representation learning
3659	Score-based Self-supervised MRI Denoising Authors: Jiachen Tu; Yaokun Shi; Fan Lam 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 Denoising Score Matching; Self-supervised Learning; Self-supervised Denoising; Score-based denoising; Medical Image Denoising; self-supervised; sem…
3660	SelKD: Selective Knowledge Distillation via Optimal Transport Perspective Authors: Liangliang Shi; Zhengyan Shi; 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: Knowledge Distillation; Inverse Optimal Transport; self-supervised; semi-supervised; and supervised representation learning
3661	Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency Authors: Kai Gan; Bo Ye; Min-Ling Zhang; Tong 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: Semi-supervised learning; Vision-language pre-training; self-supervised; semi-supervised; and supervised representation learning
3662	Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Authors: Kaan Akan; Yucel Yemez 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; slot attention; unsupervised object discovery; object segmentation; self-supervised; semi-supervised; and supervised representation le…
3663	SparsyFed: Sparse Adaptive Federated Learning Authors: Adriano Guastella; Lorenzo Sani; Alex Iacob; Alessio Mora; Paolo Bellavista; Nicholas Donald Lane Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: dynamic sparse training; federated learning; cross device federated learning; self-supervised; semi-supervised; and supervised representation learning
3664	Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion Authors: Chaodong Xiao; Minghan Li; Zhengqiang ZHANG; Deyu Meng; Lei 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: Representation learning; Visual state space models; Structure-aware state fusion; self-supervised; semi-supervised; and supervised representation learning
3665	Spherical Tree-Sliced Wasserstein Distance Authors: Hoang V. Tran; Thanh Chu; Minh-Khoi Nguyen-Nhat; Huyen Trang Pham; Tam Le; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: tree-sliced wasserstein distance; spherical optimal transport; equivariance; self-supervised; semi-supervised; and supervised representation learning
3666	Sylber: Syllabic Embedding Representation of Speech from Raw Audio Authors: Cheol Jun Cho; Nicholas Lee; Akshat Gupta; Dhruv Agarwal; Ethan Chen; Alan Black; Gopala Anumanchipalli 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; speech representation; spoken language model; syllable discovery; speech segmentation; speech tokenization; neural speech codec; spee…
3667	SyllableLM: Learning Coarse Semantic Units for Speech Language Models Authors: Alan Baade; Puyuan Peng; David Harwath 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 Spoken Language Modeling; Audio; Textless NLP; Representation Learning; self-supervised; semi-supervised; and supervised representation learning
3668	SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning Authors: Minjun Kim; Jongjin Kim; U Kang Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Network Quantization; Zero-shot Quantization; self-supervised; semi-supervised; and supervised representation learning
3669	Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning Authors: Zijian Li; Shunxing Fan; Yujia Zheng; Ignavier Ng; Shaoan Xie; Guangyi Chen; Xinshuai Dong; Ruichu Cai; 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: Disentangled Representation Learning; Identifiability; self-supervised; semi-supervised; and supervised representation learning
3670	T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data Authors: Hugo Thimonier; José Lucas De Melo Costa; Fabrice Popineau; Arpad Rimmel; Bich-Liên DOAN 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; Tabular Data; Representation Learning; self-supervised; semi-supervised; and supervised representation learning
3671	TIPS: Text-Image Pretraining with Spatial awareness Authors: Kevis-kokitsi Maninis; Kaifeng Chen; Soham Ghosh; Arjun Karpur; Koert Chen; Ye Xia; Bingyi Cao; Daniel Salz; Guangxing Han; Jan Dlabal; Dan Gnanapragasam; Mojtaba Seyedhosseini; 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: image representations; image-text; vision-language; dense understanding; computer vision; self-supervised; semi-supervised; and supervised representation learn…
3672	TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Authors: Mingxi Lei; Chunwei Ma; Meng Ding; Yufan Zhou; Ziyun Huang; Jinhui 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: Test-time adaptation; out-of-distribution generalization; distribution shift; computational geometry; self-supervised; semi-supervised; and supervised represen…
3673	Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation Authors: Byungjai Kim; Chanho Ahn; Wissam J. Baddar; Kikyung Kim; HUIJIN LEE; Saehyun Ahn; Seungju Han; Sungjoo Suh; Eunho 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: test-time adaptation; domain adaptation; linear mode connectivity; self-supervised; semi-supervised; and supervised representation learning
3674	Test-time Adaptation for Regression by Subspace Alignment Authors: Kazuki Adachi; Shin'ya Yamaguchi; Atsutoshi Kumagai; Tomoki Hamagami 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; regression; distribution shift; deep learning; self-supervised; semi-supervised; and supervised representation learning
3675	The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities Authors: Yongwei Che; Benjamin Eysenbach Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: theory; contrastive learning; probabilistic graphical models; multi-modal learning; reinforcement learning; self-supervised; semi-supervised; and supervised re…
3676	The Belief State Transformer Authors: Edward S. Hu; Kwangjun Ahn; Qinghua Liu; Haoran Xu; Manan Tomar; Ada Langford; Dinesh Jayaraman; Alex Lamb; John Langford 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; transformers; next-token prediction; reasoning; planning; self-supervised; semi-supervised; and supervised representation learning
3677	The Pitfalls of Memorization: When Memorization Hurts Generalization Authors: Reza Bayat; Mohammad Pezeshki; Elvis Dohmatob; David Lopez-Paz; Pascal Vincent Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Memorization; Generalization; Spurious Correlations; self-supervised; semi-supervised; and supervised representation learning
3678	Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models Authors: Chengyu Du; Jinyi Han; Yizhou Ying; Aili Chen; Qianyu He; Haokun Zhao; Haoran Guo; Sirui Xia; Jiaqing Liang; Zulong Chen; Liangyue Li; Yanghua Xiao Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: progressive thought refinement; self refine; large language model; self-supervised; semi-supervised; and supervised representation learning
3679	Three Mechanisms of Feature Learning in a Linear Network Authors: Yizhou Xu; 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: solvable model; feature learning; neural tangent kernel; self-supervised; semi-supervised; and supervised representation learning
3680	Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs Authors: Yuzhou Chen; Yulia Gel 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 learning; Topological Data Analysis; Geometric Deep Learning; self-supervised; semi-supervised; and supervised representation learning
3681	Towards Calibrated Deep Clustering Network Authors: Yuheng Jia; Jianhong Cheng; 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; unsupervised calibration; clustering; self-supervised; semi-supervised; and supervised representation learning
3682	Towards Out-of-Modal Generalization without Instance-level Modal Correspondence Authors: Zhuo Huang; Gang Niu; Bo Han; Masashi Sugiyama; Tongliang 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: Multi-Modal Learning; Generalization; self-supervised; semi-supervised; and supervised representation learning
3683	Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression Authors: Megh Shukla; Aziz Shameem; Mathieu Salzmann; Alexandre Alahi 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 regression; heteroscedastic; uncertainty; 2-Wasserstein; KL-Divergence; Negative Log-Likelihood; self-supervised; semi-supervised; and supervised represen…
3684	Towards a learning theory of representation alignment Authors: Francesco Insulla; Shuo Huang; Lorenzo Rosasco 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 theory; representation learning; model stitching; representation alignment; self-supervised; semi-supervised; and supervised representation learning
3685	Training Neural Networks as Recognizers of Formal Languages Authors: Alexandra Butoi; Ghazal Khalighinejad; Anej Svete; Josef Valvoda; Ryan Cotterell; Brian DuSell 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 network; formal language theory; transformer; rnn; lstm; self-supervised; semi-supervised; and supervised representation learning
3686	Training One-Dimensional Graph Neural Networks is NP-Hard Authors: Robert Ganian; Mathis Rocton; Simon Wietheger 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 Complexity; Graph Neural Networks; Training; ReLU; self-supervised; semi-supervised; and supervised representation learning
3687	UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation Authors: Tao Zhang; Jinyong Wen; Zhen Chen; Kun Ding; Shiming Xiang; Chunhong Pan 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 Pre-training; Semantic Segmentation; Infrared Image; Attention Distillation; Representation Learning; self-supervised; semi-supervised; and supervised re…
3688	URLOST: Unsupervised Representation Learning without Stationarity or Topology Authors: Zeyu Yun; Juexiao Zhang; Yann LeCun; Yubei 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: Unsupervised learning; Self-Supervised Learning; NeuroAI; Multi-Modality; Human Vision; Biologically-inspired Models; self-supervised; semi-supervised; and sup…
3689	Understanding the Stability-based Generalization of Personalized Federated Learning Authors: Yingqi Liu; Qinglun Li; Jie Tan; Yifan Shi; Li Shen; Xiaochun Cao 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; semi-supervised; and supervised representation learning
3690	Uni-Sign: Toward Unified Sign Language Understanding at Scale Authors: Zecheng Li; Wengang Zhou; Weichao Zhao; Kepeng Wu; Hezhen Hu; Houqiang 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: Sign language understanding; Pre-training; Large-scale sign language dataset; self-supervised; semi-supervised; and supervised representation learning
3691	UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting Authors: Haoyuan Li; Zhou Yanpeng; Tao Tang; Jifei Song; Yihan Zeng; Michael Kampffmeyer; Hang Xu; Xiaodan Liang 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 learning; 3D gaussian splatting; self-supervised; semi-supervised; and supervised representation learning
3692	Unifying Causal Representation Learning with the Invariance Principle Authors: Dingling Yao; Dario Rancati; Riccardo Cadei; Marco Fumero; 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: Causal representation learning; Identifiability; Invariance; self-supervised; semi-supervised; and supervised representation learning
3693	Universal Image Restoration Pre-training via Degradation Classification Authors: JiaKui Hu; Lujia Jin; Zhengjian Yao; Yanye 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: Pre-training; Degradation Classfication; Universal restoration; self-supervised; semi-supervised; and supervised representation learning
3694	Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints Authors: Yuxuan Wu; Ziyu Wang; Bhiksha Raj; Gus 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: Unsupervised learning; Interpretable representation learning; Emergent knowledge; Self-supervised learning; self-supervised; semi-supervised; and supervised re…
3695	Unsupervised Model Tree Heritage Recovery Authors: Eliahu Horwitz; Asaf Shul; Yedid Hoshen 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; Deep Weight Space; Model Tree; Neural Phylogeny; Phylogeny; Finetuning; self-supervised; semi-supervised; and supervised representation…
3696	Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation Authors: Yan Sun; Stanley Kok 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 Kernel; Unsupervised Learning; Multiple Kernel Learning; self-supervised; semi-supervised; and supervised representation learning
3697	VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning Authors: Han Lin; Tushar Nagarajan; Nicolas Ballas; Mido Assran; Mojtaba Komeili; Mohit Bansal; Koustuv Sinha Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: Procedural Learning from Videos; Representation Learning; Diffusion Transformer; self-supervised; semi-supervised; and supervised representation learning
3698	VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks Authors: Ziyan Jiang; Rui Meng; Xinyi Yang; Semih Yavuz; Yingbo Zhou; Wenhu 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: Vision Language Model; Representation Learning; Multimodal Embeddings; self-supervised; semi-supervised; and supervised representation learning
3699	Vector-ICL: In-context Learning with Continuous Vector Representations Authors: Yufan Zhuang; Chandan Singh; Liyuan Liu; Jingbo Shang; Jianfeng 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: large language models; in-context learning; self-supervised; semi-supervised; and supervised representation learning
3700	Visually Consistent Hierarchical Image Classification Authors: Seulki Park; Youren Zhang; Stella X. Yu; Sara Beery; Jonathan 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: Hierarchical classification; visual grounding; self-supervised; semi-supervised; and supervised representation learning
3701	WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning Authors: Kai Jungel; Dario Paccagnan; Axel Parmentier; Maximilian Schiffer Affiliation: 官方页面未列出 Official area / track: unsupervised, self-supervised, semi-supervised, and supervised representation learning Recognition: Poster/Regular Keywords: structured learning; combinatorial optimization augmented machine learning; traffic equilibrium prediction; self-supervised; semi-supervised; and supervised re…
3702	Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy Authors: Jiangxing Wang; Zongqing 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: video-conditioned policy; compositional generalization; self-supervised; semi-supervised; and supervised representation learning
3703	What to align in multimodal contrastive learning? Authors: Benoit Dufumier; Javiera Castillo Navarro; Devis Tuia; Jean-Philippe Thiran 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; Self-supervised learning; Contrastive learning; self-supervised; semi-supervised; and supervised representation learning