ICML 2025

3,330 papers

Weak-to-Strong Jailbreaking on Large Language Models

Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li

Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning

Wenhao Zhao, Qiushui Xu, Linjie Xu, Lei Song, Jinyu Wang

Can We Predict Performance of Large Models across Vision-Language Tasks?

Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng

Taming Diffusion for Dataset Distillation with High Representativeness

Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang

Epsilon-VAE: Denoising as Visual Decoding

Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang

Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data

Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang

Hierarchical Equivariant Policy via Frame Transfer

Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Lewis Howell

Rejecting Hallucinated State Targets during Planning

Harry Zhao, Tristan Sylvain, Romain Laroche, Doina Precup, Yoshua Bengio

Improving Memory Efficiency for Training KANs via Meta Learning

Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu

GraphGPT: Generative Pre-trained Graph Eulerian Transformer

Qifang Zhao, Weidong Ren, Tianyu Li, Hong Liu, Xingsheng He

Unlocking Post-hoc Dataset Inference with Synthetic Data

Bihe Zhao, Pratyush Maini, Franziska Boenisch, Adam Dziedzic

SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics

Suyuan Zhao, Yizhen Luo, Ganbo Yang, Yan Zhong, Hao Zhou

Learning Progress Driven Multi-Agent Curriculum

Wenshuai Zhao, Zhiyuan Li, Joni Pajarinen

TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer

Lusen Zhao, Zihan Huang, Jianhao Ding, Zhaofei Yu

RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers

Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li

Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning

Xue Zhao, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye

Contextual Bandits for Unbounded Context Distributions

Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang

Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Linxi Zhao, Yihe Deng, Weitong ZHANG, Quanquan Gu

Understanding Mode Connectivity via Parameter Space Symmetry

Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback

Canzhe Zhao, Yutian Cheng, Jing Dong, Baoxiang Wang, Shuai Li

DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers

Xuanlei Zhao, Shenggan Cheng, Chang Chen, Zangwei Zheng, Ziming Liu

Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning

HANYANG ZHAO, Haoxian Chen, Ji Zhang, David Yao, Wenpin Tang

Efficient Motion Prompt Learning for Robust Visual Tracking

Jie Zhao, Xin Chen, Yongsheng Yuan, Michael Felsberg, Dong Wang

DeepLayout: Learning Neural Representations of Circuit Placement Layout

Yuxiang Zhao, zhuomin chai, Xun Jiang, Qiang Xu, Runsheng Wang

Improving LLM Safety Alignment with Dual-Objective Optimization

Xuandong Zhao, Will Cai, Tianneng Shi, David Huang, Licong Lin

ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks

Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu

Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification

Eric Zhao, Pranjal Awasthi, Sreenivas Gollapudi

ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning

Hongyin Zhang, Zifeng Zhuang, Han Zhao, Pengxiang Ding, Hongchao Lu

Robust Multimodal Large Language Models Against Modality Conflict

Zongmeng Zhang, Wengang Zhou, Jie Zhao, Houqiang Li

Efficient Skill Discovery via Regret-Aware Optimization

He Zhang, Ming Zhou, Shaopeng Zhai, Ying Sun, Hui Xiong

The Four Color Theorem for Cell Instance Segmentation

Ye Zhang, Yu Zhou, Yifeng Wang, Jun Xiao, Ziyue Wang

Conformal Anomaly Detection in Event Sequences

SHUAI ZHANG, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin

Inverse Flow and Consistency Models

Yuchen Zhang, Jian Zhou

Gap-Dependent Bounds for Federated Q-Learning

Haochen Zhang, Zhong Zheng, Lingzhou Xue

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion

Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li

Strategic A/B testing via Maximum Probability-driven Two-armed Bandit

Yu Zhang, Shanshan Zhao, Bokui Wan, Jinjuan Wang, Xiaodong Yan

Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability

Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama

Generalization Analysis for Controllable Learning

Yi-Fan Zhang, Xiao Zhang, Min-ling Zhang

ConText: Driving In-context Learning for Text Removal and Segmentation

Fei Zhang, Pei Zhang, Baosong Yang, Fei Huang, Yanfeng Wang

End-to-End Learning Framework for Solving Non-Markovian Optimal Control

Xiaole Zhang, Peiyu Zhang, Xiongye Xiao, Shixuan Li, Vasileios Tzoumas

Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment

Yifan Zhang, Ge Zhang, Yue Wu, Kangping Xu, Quanquan Gu

Tight and Fast Bounds for Multi-Label Learning

Yi-Fan Zhang, Min-ling Zhang

Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms

Detian Zhang, Chengqiang Zhang, Yanghui Rao, Li Qing, Chunjiang Zhu

Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes

Erica Zhang, Fangzhao Zhang, Mert Pilanci

PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models

Chenyang Zhang, Xiaoyu Zhang, Jian Lou, Kai WU, Zilong Wang

Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding

Jiasheng Zhang, Delvin Ce Zhang, Shuang Liang, Zhengpin Li, Zhitao Ying

Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition

Chong Zhang, Peng Zhang, Mengke Li

STAIR: Improving Safety Alignment with Introspective Reasoning

Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang

Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion

Ruixiang ZHANG, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou

Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters

Sijia Zhang, Shuli Zeng, Shaoang Li, Feng Wu, Shaojie Tang

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu

InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective

Yuanhong Zhang, Muyao Yuan, Weizhan Zhang, Tieliang Gong, Wen Wen

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li

Curse of High Dimensionality Issue in Transformer for Long Context Modeling

Shuhai Zhang, Zeng You, Yaofo Chen, Zhiquan Wen, Qianyue Wang

Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems

Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han

KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling

Shimin Zhang, Ziyuan Ye, Yinsong Yan, Zeyang Song, YuJie Wu

Efficient Network Automatic Relevance Determination

Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu

Synthesizing Software Engineering Data in a Test-Driven Manner

Lei Zhang, Jiaxi Yang, Min Yang, Jian Yang, Mouxiang Chen

SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models

Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko

UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning

Jiawei Zhang, Shuang Yang, Bo Li

Learning to Reuse Policies in State Evolvable Environments

Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach

Xu Zhang, Kaidi Xu, Ziqing Hu, REN WANG

Improving Reward Model Generalization from Adversarial Process Enhanced Preferences

Zhilong Zhang, Tian Xu, Xinghao Du, Xingchen Cao, Yihao Sun

SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference

Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia wei, Haocheng Xi

MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding

Zhicheng Zhang, Wuyou Xia, Chenxi Zhao, Zhou Yan, Xiaoqiang Liu

Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes

Ruiqi Zhang, Jingfeng Wu, Peter Bartlett

AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N

Tianyu Zhang, Andrew Robert Williams, Phillip Wozny, Kai-Hendrik Cohrs, Koen Ponse

e-GAI: e-value-based Generalized $α$-Investing for Online False Discovery Rate Control

Yifan Zhang, Zijian Wei, Haojie Ren, Changliang Zou

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing

Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong

Function-to-Style Guidance of LLMs for Code Translation

Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang

Contextual Linear Bandits with Delay as Payoff

Mengxiao Zhang, Yingfei Wang, Haipeng Luo

Active Treatment Effect Estimation via Limited Samples

Zhiheng Zhang, Haoxiang Wang, Haoxuan Li, Zhouchen Lin

Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution

Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou

Diverging Preferences: When do Annotators Disagree and do Models Know?

Michael JQ Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau

Neural Encoding and Decoding at Scale

Yizi Zhang, Yanchen Wang, Mehdi Azabou, Alexandre Andre, Zixuan Wang

ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces

Jinbin Zhang, Nasib Ullah, Erik Schultheis, Rohit Babbar

Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training

Mozhi Zhang, Howe Tissue, Lu Wang, Xipeng Qiu

CellFlux: Simulating Cellular Morphology Changes via Flow Matching

Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers

Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation

Tianyi Zhang, Junda Su, Aditya Desai, Oscar Wu, Zhaozhuo Xu

Training Dynamics of In-Context Learning in Linear Attention

Yedi Zhang, Aaditya K Singh, Peter E. Latham, Andrew M Saxe

Policy Filtration for RLHF to Mitigate Noise in Reward Models

Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu

DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models

Boyu Zhang, Aocheng Shen, Bing Liu, Qiankun Zhang, Bin Yuan

The Ripple Effect: On Unforeseen Complications of Backdoor Attacks

Rui Zhang, Yun Shen, Hongwei Li, Wenbo Jiang, Hanxiao Chen

One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy

Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng ZHANG, Feng Liu

Preference learning made easy: Everything should be understood through win rate

Lily H Zhang, Rajesh Ranganath

Generalization Performance of Ensemble Clustering: From Theory to Algorithm

Xu Zhang, Haoye Qiu, Weixuan Liang, Hui LIU, Junhui Hou

Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner

Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee, Nakul Agarwal, Sean Dae Houlihan

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning

Zhiyao Zhang, Myeung Suk Oh, FNU Hairi, Ziyue Luo, Alvaro Velasquez

Multi-agent Architecture Search via Agentic Supernet

Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, LEI BAI

On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning

Thomas TCK Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue

Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping

Muru Zhang, Mayank Mishra, Zhongzhu Zhou, William Brandon, Jue Wang

DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation

Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm

SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting

Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates

Learning to Steer Learners in Games

Yizhou Zhang, Yian Ma, Eric Mazumdar

MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines

Yaolun Zhang, Xiaogeng Liu, Chaowei Xiao

M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation

Tao Zhang, Zhenhai Liu, Feipeng Qi, Yongjun Jiao, Tailin Wu

Causality Inspired Federated Learning for OOD Generalization

Jiayuan Zhang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Haotian Yang

Reward-Augmented Data Enhances Direct Preference Alignment of LLMs

Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang

PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs

Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou

LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently

Yuanhe Zhang, Fanghui Liu, Yudong Chen