ICML 2025

3,330 papers

On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Jen-tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen

Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective

Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models

Zhaohong Huang, Yuxin Zhang, Jingjing Xie, Fei Chao, Rongrong Ji

MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning

Suning Huang, Zheyu Aqa Zhang, Tianhai Liang, Yihan Xu, Zhehao Kou

Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints

Ruichuan Huang, Jiawei Zhang, Ahmet Alacaoglu

Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation

Kevin Han Huang, Ni Zhan, Elif Ertekin, Peter Orbanz, Ryan P Adams

EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng

Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens

Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen, Kai-Qi Liu, De-Chuan Zhan

Sample Complexity of Correlation Detection in the Gaussian Wigner Model

Dong Huang, Pengkun Yang

IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling

Kuan-Po Huang, Shu-wen Yang, Huy Phan, Bo-Ru Lu, Byeonggeun Kim

Learn Beneficial Noise as Graph Augmentation

Siqi Huang, Yanchen Xu, Hongyuan Zhang, Xuelong Li

Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction

Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang

Uncertainty Quantification for LLM-Based Survey Simulations

Chengpiao Huang, Yuhang Wu, Kaizheng Wang

Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?

Kexin Huang, Junkang Wu, Ziqian Chen, xue wang, Jinyang Gao

DriveGPT: Scaling Autoregressive Behavior Models for Driving

Xin Huang, Eric M Wolff, Paul Vernaza, Tung Phan-Minh, Hongge Chen

A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity

Yufei Huang, Changhu Wang, Junjie Tang, Weichi Wu, Ruibin Xi

PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning

Dongchi Huang, Jiaqi Wang, Yang Li, Chunhe Xia, Tianle Zhang

HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration

Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang

Improving Flow Matching by Aligning Flow Divergence

Yuhao Huang, Taos Transue, Shih-Hsin Wang, William M Feldman, Hong Zhang

Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors

Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts

Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework

Guan Huang, Tao Shu

Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models

Chao Huang, Yushu Shi, Jie Wen, Wei Wang, Yong Xu

Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting

Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli

Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity

Ningyuan Teresa Huang, Miguel Sarabia, Abhinav Moudgil, Pau Rodriguez, Luca Zappella

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models

Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Qinshuo Liu

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards

Yangsibo Huang, Milad Nasr, Anastasios Nikolas Angelopoulos, Nicholas Carlini, Wei-Lin Chiang

TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness

Cheng Huang, Pan Mu, Cong Bai, Peter Ag Watson

Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks

Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu

Calibrated Language Models and How to Find Them with Label Smoothing

Jerry Huang, Peng Lu, Qiuhao Zeng

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation

Xiao Huang, Xu Liu, Enze Zhang, Tong Yu, Shuai Li

OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction

Huang Huang, Fangchen Liu, Letian Fu, Tingfan Wu, Mustafa Mukadam

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching

Tinglin Huang, Tianyu Liu, Mehrtash Babadi, Wengong Jin, Zhitao Ying

How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias

Ruiquan Huang, Yingbin Liang, Jing Yang

Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning

Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li

Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning

Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan

Flow Matching for Denoised Social Recommendation

Yinxuan Huang, Ke Liang, Zhuofan Dong, Xiaodong Qu, Wang Tianxiang

Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective

Jiawei Huang, Bingcong Li, Christoph Dann, Niao He

Automated Hypothesis Validation with Agentic Sequential Falsifications

Kexin Huang, Ying Jin, Ryan Li, Michael Y. Li, Emmanuel Candes

Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification

Teng Huang, Bin-Bin Jia, Min-ling Zhang

High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions

Ruiyuan Huang, zengfeng Huang

MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities against Hard Perturbations

Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge

Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates

Yunfei Huang, David S. Greenberg

Differential Coding for Training-Free ANN-to-SNN Conversion

Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao

X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP

Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey

VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models

Haojian Huang, Haodong Chen, Shengqiong Wu, Meng Luo, Jinlan Fu

Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response

Kexin Huang, Ziqian Chen, xue wang, Chongming Gao, Jinyang Gao

3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors

Yujun Huang, Bin Chen, Niu Lian, Xin Wang, Baoyi An

Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training

Zizheng Huang, Haoxing Chen, Jiaqi Li, jun lan, Huijia Zhu

Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment

Audrey Huang, Adam Block, Qinghua Liu, Nan Jiang, Akshay Krishnamurthy

Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Joshua Kimball, Ling Liu

How Expressive are Knowledge Graph Foundation Models?

Xingyue Huang, Pablo Barceló, Michael M. Bronstein, İsmail İlkan Ceylan, Mikhail Galkin

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning

Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao

A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data

Cailong Hua, Sivaraman Rajaganapathy, Rebecca A Slick, Joseph Vavra, Joseph M. Muretta

Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization

Ermo Hua, Che Jiang, Xingtai Lv, Kaiyan Zhang, Youbang Sun

Reward Translation via Reward Machine in Semi-Alignable MDPs

Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples

Zijing Hu, Fengda Zhang, Kun Kuang

sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models

Hongru Hu, Shuwen Zhang, Yongin Choi, Venkat S. Malladi, Gerald Quon

Test-Time Learning for Large Language Models

Jinwu Hu, Zitian Zhang, Guohao Chen, Xutao Wen, Chao Shuai

IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction

Zhangyi Hu, Jiemin Wu, Hua Xu, Mingqian Liao, Ninghui Feng

Empirical Privacy Variance

Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou

Incorporating Arbitrary Matrix Group Equivariance into KANs

Lexiang Hu, Yisen Wang, Zhouchen Lin

Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling

Xiang Hu, Zhihao Teng, Jun Zhao, Wei Wu, Kewei Tu

Editable Concept Bottleneck Models

Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang

From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control

Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng

Stochastic Deep Restoration Priors for Imaging Inverse Problems

Yuyang Hu, Albert Peng, Weijie Gan, Peyman Milanfar, Mauricio Delbracio

Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs

Jie Hu, Yi-Ting Ma, Do Young Eun

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning

Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen

Learning Imbalanced Data with Beneficial Label Noise

Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng

Explicit Discovery of Nonlinear Symmetries from Dynamic Data

Lexiang Hu, Yikang LI, Zhouchen Lin

A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games

Yudong Hu, Haoran Li, Congying Han, Tiande Guo, Bonan Li

PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs

Xiaoyan Hu, Ho-fung Leung, Farzan Farnia

Explicit Preference Optimization: No Need for an Implicit Reward Model

Xiangkun Hu, Lemin Kong, Tong He, David Wipf

Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret

Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde

EPIC: Efficient Position-Independent Caching for Serving Large Language Models

Junhao Hu, Wenrui Huang, Weidong Wang, Haoyi Wang, Tiancheng Hu

Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation

Zixuan Hu, Yichun Hu, Xiaotong Li, SHIXIANG TANG, Lingyu Duan

VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians

Pengchong Hu, Zhizhong Han

Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang

Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge

Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias

Yuanzhe Hu, Kinshuk Goel, Vlad Killiakov, Yaoqing Yang

Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation

Hengyuan Hu, Aniket Das, Dorsa Sadigh, Nima Anari

Nonparametric Modern Hopfield Models

Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu

The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability

Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang

Contextual Online Decision Making with Infinite-Dimensional Functional Regression

Haichen Hu, Rui Ai, Stephen Bates, David Simchi-Levi

Elucidating the Design Space of Multimodal Protein Language Models

Cheng-Yen Hsieh, Xinyou Wang, Daiheng Zhang, Dongyu Xue, Fei Ye

RAGGED: Towards Informed Design of Scalable and Stable RAG Systems

Jennifer Hsia, Afreen Shaikh, Zora Zhiruo Wang, Graham Neubig

Scaling Trends in Language Model Robustness

Nikolaus H. R. Howe, Ian R. Mckenzie, Oskar John Hollinsworth, Michał Zając, Tom Tseng

BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms

Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan

Private Federated Learning using Preference-Optimized Synthetic Data

Charlie Hou, Mei-Yu Wang, Yige Zhu, Daniel Lazar, Giulia Fanti

ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation

Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang

T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li

A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning

Yaxin Hou, Yuheng Jia

Do Vision-Language Models Really Understand Visual Language?

Yifan Hou, Buse Giledereli, Yilei Tu, Mrinmaya Sachan

Instruction-Following Pruning for Large Language Models

Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang

Universal Length Generalization with Turing Programs

Kaiying Hou, David Brandfonbrener, Sham M. Kakade, Samy Jelassi, Eran Malach

Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data

Sayed Mohammad Hosseini, Maryam Shanechi

QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal

Jumman Hossain, Nirmalya Roy

The Role of Randomness in Stability

Max Hopkins, Shay Moran

Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model

Yuzhong Hong, Hanshan Zhang, Junwei Bao, Hongfei Jiang, Yang Song

On the Provable Separation of Scales in Maximal Update Parameterization

Letong Hong, Zhangyang Wang