ICML 2025

3,330 papers

Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction

Shu-wen Yang, Byeonggeun Kim, Kuan-Po Huang, Qingming Tang, Huy Phan

Learning Adaptive Lighting via Channel-Aware Guidance

Qirui Yang, Peng-tao Jiang, Hao Zhang, Jinwei Chen, Bo Li

Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme

Ruofeng Yang, Bo Jiang, Cheng Chen, Shuai Li

Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation

Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye

Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games

Tong Yang, Bo Dai, Lin Xiao, Yuejie Chi

Evolving Minds: Logic-Informed Inference from Temporal Action Patterns

Chao Yang, Shuting Cui, Yang Yang, Shuang Li

Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation

Yiming Yang, Xiaoyuan Cheng, Daniel Giles, Sibo Cheng, Yi He

Disentangled Graph Spectral Domain Adaptation

Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Rui Yang, Hanyang Chen, Junyu Zhang, Mark Zhao, Cheng Qian

HyperIV: Real-time Implied Volatility Smoothing

Yongxin Yang, Wenqi Chen, Chao Shu, Timothy Hospedales

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models

Yukang Yang, Declan Iain Campbell, Kaixuan Huang, Mengdi Wang, Jonathan D. Cohen

The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference

Zeyu Yang, Wesley Armour

A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning

Yingzhen Yang

Survival Analysis via Density Estimation

Hiroki Yanagisawa, Shunta Akiyama

Momentum-Driven Adaptivity: Towards Tuning-Free Asynchronous Federated Learning

Wenjing YAN, Xiangyu Zhong, Xiaolu Wang, Ying-Jun Angela Zhang

Heterogeneous Sufficient Dimension Reduction and Subspace Clustering

Lei Yan, Xin Zhang, Qing Mai

CALM: Consensus-Aware Localized Merging for Multi-Task Learning

Kunda Yan, Min Zhang, Sen Cui, Qu Zikun, Bo Jiang

Training High Performance Spiking Neural Network by Temporal Model Calibration

Jiaqi Yan, Changping Wang, De Ma, Huajin Tang, Qian Zheng

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Zhiyuan Yan, Jiangming Wang, Peng Jin, Ke-Yue Zhang, Chengchun Liu

Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport

Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou

Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference

Yusuke Yamasaki, Kenta Niwa, Daiki Chijiwa, Takumi Fukami, Takayuki Miura

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs

Chhavi Yadav, Evan Laufer, Dan Boneh, Kamalika Chaudhuri

Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks

Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions

Yihao Xue, Jiping Li, Baharan Mirzasoleiman

PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering

Xuqian Xue, Yiming Lei, Qi Cai, Hongming Shan, Junping Zhang

Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning

Zhenghai Xue, Lang Feng, Jiacheng Xu, Kang Kang, Xiang Wen

Multi-objective Linear Reinforcement Learning with Lexicographic Rewards

Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan, Qingfu Zhang

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization

Chen Xu, Yuxuan Yue, Zukang Xu, Xing Hu, Jiangyong Yu

Componential Prompt-Knowledge Alignment for Domain Incremental Learning

Kunlun Xu, Xu Zou, Gang Hua, Jiahuan Zhou

Test-time Adapted Reinforcement Learning with Action Entropy Regularization

Shoukai Xu, Zihao Lian, Mingkui Tan, Liu Liu, Zhong Zhang

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning

Qi Xu, Junyang Zhu, Dongdong Zhou, Hao Chen, Yang Liu

Reducing Tool Hallucination via Reliability Alignment

Hongshen Xu, Zichen Zhu, Lei Pan, Zihan Wang, Su Zhu

Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding

Siyuan Xu, Minghui Zhu

Unlocking the Power of SAM 2 for Few-Shot Segmentation

Qianxiong Xu, Lanyun Zhu, Xuanyi Liu, Guosheng Lin, Cheng Long

DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning

Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang

Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness

Yibo Xu, Dawei Zhou, Decheng Liu, Nannan Wang

CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes

Zelin Xu, Yupu Zhang, Tingsong Xiao, Maitane Olabarrieta Lizaso, Jose M. Gonzalez-Ondina

CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention

Songlin Xu, Xinyu Zhang

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan

MDDM: Practical Message-Driven Generative Image Steganography Based on Diffusion Models

Zihao Xu, Dawei Xu, Zihan Li, Chuan Zhang

XAttention: Block Sparse Attention with Antidiagonal Scoring

Ruyi Xu, Guangxuan Xiao, Haofeng Huang, Junxian Guo, Song Han

Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales

Jiaze Xu, Shiyu Xia, Xu Yang, Jiaqi Lv, Xin Geng

Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction

Yiheng Xu, Zekun Wang, Junli Wang, Dunjie Lu, Tianbao Xie

Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources

Renzhe Xu, Kang Wang, Bo Li

KV Shifting Attention Enhances Language Modeling

Mingyu Xu, Bingning Wang, Weipeng Chen

Heterogeneous Label Shift: Theory and Algorithm

Chao Xu, Xijia Tang, Chenping Hou

ProSec: Fortifying Code LLMs with Proactive Security Alignment

Xiangzhe Xu, Zian Su, Jinyao Guo, Kaiyuan Zhang, Zhenting Wang

Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training

Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin CUI

ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals

Yuanchao Xu, Kaidi Shao, Nikos K. Logothetis, Zhongwei Shen

On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding

Kevin Xu, Issei Sato

Investigating Non-Transitivity in LLM-as-a-Judge

Yi Xu, Laura Ruis, Tim Rocktäschel, Robert Kirk

Linear Contextual Bandits With Interference

Yang Xu, Wenbin Lu, Rui Song

Toward Efficient Kernel-Based Solvers for Nonlinear PDEs

Zhitong Xu, Da Long, Yiming Xu, Guang Yang, Shandian Zhe

Sub-Sequential Physics-Informed Learning with State Space Model

Chenhui Xu, Dancheng Liu, Yuting Hu, Jiajie Li, Ruiyang Qin

Contradiction Retrieval via Contrastive Learning with Sparsity

Haike Xu, Zongyu Lin, Kai-Wei Chang, Yizhou Sun, Piotr Indyk

Scalable Model Merging with Progressive Layer-wise Distillation

Jing Xu, Jiazheng Li, Jingzhao Zhang

Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction

Yudong Xu, Wenhao Li, Scott Sanner, Elias Boutros Khalil

Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks

Xianliang Xu, Ye Li, Zhongyi Huang

RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers

Xuwei Xu, Yang Li, Yudong Chen, Jiajun Liu, Sen Wang

RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation

Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Risa Ueno

AdvAgent: Controllable Blackbox Red-teaming on Web Agents

Chejian Xu, Mintong Kang, Jiawei Zhang, Zeyi Liao, Lingbo Mo

Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention

Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth

Robust Multi-bit Text Watermark with LLM-based Paraphrasers

Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li

Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning

Zhiwei Xu, Kun Hu, Xin Xin, Weiliang Meng, Yiwei Shi

Concept-Based Unsupervised Domain Adaptation

Xinyue Xu, Yueying Hu, Hui Tang, Yi Qin, Lu Mi

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization

Zelai Xu, Wanjun Gu, Chao Yu, Yi Wu, Yu Wang

Global Optimization with a Power-Transformed Objective and Gaussian Smoothing

Chen Xu

ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior

Zhongweiyang Xu, Xulin Fan, Zhong-Qiu Wang, Xilin Jiang, Romit Roy Choudhury

Hybrid Spiking Vision Transformer for Object Detection with Event Cameras

Qi Xu, Jie Deng, Jiangrong Shen, Biwu Chen, Huajin Tang

Rethinking Benign Overfitting in Two-Layer Neural Networks

Ruichen Xu, Kexin Chen

RLTHF: Targeted Human Feedback for LLM Alignment

Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Srinagesh Sharma

DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy

Kaixuan Xu, Jiajun Chai, Sicheng Li, Yuqian Fu, Yuanheng Zhu

Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach

Yang Xu, Vaneet Aggarwal

Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF

Nuoya Xiong, Aarti Singh

ParallelComp: Parallel Long-Context Compressor for Length Extrapolation

Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao

Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition

Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou

MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost

Sen Xing, Muyan Zhong, Zeqiang Lai, Liangchen Li, Jiawen Liu

One-Pass Feature Evolvable Learning with Theoretical Guarantees

Cun-Yuan Xing, Meng-Zhang Qian, Wu-Yang Chen, Wei Gao, Zhi-Hua Zhou

MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification

Tianchi Xing, Bonan Li, Congying Han, Xinmin Qiu, Zicheng Zhang

Knowledge Swapping via Learning and Unlearning

Mingyu Xing, Lechao Cheng, Shengeng Tang, Yaxiong Wang, Zhun Zhong

I^2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts

Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard

TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration

Cheng Xin, Fan Xu, Xin Ding, Jie Gao, Jiaxin Ding

Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing

Yuan Xin, Dingfan Chen, Michael Backes, Xiao Zhang

Simple Policy Optimization

Zhengpeng Xie, Qiang Zhang, Fan Yang, Marco Hutter, Renjing Xu

Robust Reward Alignment via Hypothesis Space Batch Cutting

Zhixian Xie, Haode Zhang, Yizhe Feng, Wanxin Jin

FG-CLIP: Fine-Grained Visual and Textual Alignment

Chunyu Xie, Bin Wang, Fanjing Kong, Jincheng Li, Dawei Liang

Structured Preconditioners in Adaptive Optimization: A Unified Analysis

Shuo Xie, Tianhao Wang, Sashank J. Reddi, Sanjiv Kumar, Zhiyuan Li

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning

Wanyun Xie, Francesco Tonin, Volkan Cevher

Latent Diffusion Planning for Imitation Learning

Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn

Learning Vision and Language Concepts for Controllable Image Generation

Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric Xing

Prior Knowledge Guided Neural Architecture Generation

Jingrong Xie, Han Ji, Yanan Sun

A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making

Yi Xie, Jaedong Hwang, Carlos D Brody, David W. Tank, Ila R Fiete

KIND: Knowledge Integration and Diversion for Training Decomposable Models

Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui

The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products

Yuqing Xie, Ameya Daigavane, Mit Kotak, Tess Smidt

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer

Enze Xie, Junsong Chen, Yuyang Zhao, Jincheng Yu, Ligeng Zhu

Teaching Language Models to Critique via Reinforcement Learning

Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu

A First-order Generative Bilevel Optimization Framework for Diffusion Models

Quan Xiao, Hui Yuan, A F M Saif, Gaowen Liu, Ramana Rao Kompella

Trustworthy Machine Learning through Data-Specific Indistinguishability

Hanshen Xiao, Zhen Yang, G. Edward Suh

Are High-Quality AI-Generated Images More Difficult for Models to Detect?

Yao Xiao, Binbin Yang, Weiyan Chen, Jiahao Chen, Zijie Cao

ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning

Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus