ICML 2025

3,330 papers

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation

Yicheng Xiao, Lin Song, Rui Yang, cheng cheng, Yixiao Ge

MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections

Da Xiao, Qingye Meng, Shengping Li, Xingyuan Yuan

Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects

Ke Liang Xiao, Noah Marshall, Atish Agarwala, Elliot Paquette

Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach

Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long

When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network

Dong Xiao, Guangyao Chen, Peixi Peng, Yangru Huang, Yifan Zhao

GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning

Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li

On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains

Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa

DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model

Siwei Xia, Li Sun, Tiantian Sun, Qingli Li

Minerva: A Programmable Memory Test Benchmark for Language Models

Menglin Xia, Victor Rühle, Saravan Rajmohan, Reza Shokri

Learning the Electronic Hamiltonian of Large Atomic Structures

Chen Hao Xia, Manasa Kaniselvan, Alexandros Nikolaos Ziogas, Marko Mladenović, Rayen Mahjoub

Causal Abstraction Inference under Lossy Representations

Kevin Muyuan Xia, Elias Bareinboim

Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li

OW-VAP: Visual Attribute Parsing for Open World Object Detection

Xing Xi, Xing Fu, Weiqiang Wang, Ronghua Luo

Distinguishing Cause from Effect with Causal Velocity Models

Johnny Xi, Hugh Dance, Peter Orbanz, Benjamin Bloem-Reddy

PINNsAgent: Automated PDE Surrogation with Large Language Models

Qingpo Wuwu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang

Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?

Antonia Wüst, Tim Tobiasch, Lukas Helff, Inga Ibs, Wolfgang Stammer

Adaptive Localization of Knowledge Negation for Continual LLM Unlearning

Abudukelimu Wuerkaixi, qizhou wang, Sen Cui, Wutong Xu, Bo Han

Weight matrices compression based on PDB model in deep neural networks

Xiaoling Wu, Junpeng Zhu, Zeng Li

Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models

Xiaoyu Wu, Jiaru Zhang, Steven Wu

Simplifying DINO via Coding Rate Regularization

Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh

Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems

Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo

Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector

Qirui Wu, Shizhou Zhang, De Cheng, Yinghui Xing, Di Xu

An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs’ Sentimental Perception Capability

Daiqing Wu, Dongbao Yang, Sicheng Zhao, Can Ma, Yu Zhou

Supercharging Graph Transformers with Advective Diffusion

Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Michael M. Bronstein

Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration

Yuanchen Wu, Ke Yan, Shouhong Ding, Ziyin Zhou, Xiaoqiang Li

Rethinking Chain-of-Thought from the Perspective of Self-Training

Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu

Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions

Dongze Wu, Yao Xie

Towards Robustness and Explainability of Automatic Algorithm Selection

Xingyu Wu, Jibin Wu, Yu Zhou, Liang Feng, KC Tan

BackSlash: Rate Constrained Optimized Training of Large Language Models

Jun Wu, Jiangtao Wen, Yuxing Han

Efficient Personalized Adaptation for Physiological Signal Foundation Model

Chenrui Wu, Haishuai Wang, Xiang Zhang, Chengqi Zhang, Jiajun Bu

Directly Forecasting Belief for Reinforcement Learning with Delays

Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin

AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization

Junkang Wu, xue wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao

Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning

Boyuan Wu, Zefeng Wang, Xianwei Lin, Jiachun Xu, Jikai Yu

On the Emergence of Position Bias in Transformers

Xinyi Wu, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie

The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph

Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari

FLAM: Frame-Wise Language-Audio Modeling

Yusong Wu, Christos Tsirigotis, Ke Chen, Cheng-Zhi Anna Huang, Aaron Courville

In-Context Deep Learning via Transformer Models

Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu

TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation

Tong Wu, Junzhe Shen, Zixia Jia, Yuxuan Wang, Zilong Zheng

When Do LLMs Help With Node Classification? A Comprehensive Analysis

Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao

Learning Optimal Multimodal Information Bottleneck Representations

Qilong Wu, Yiyang Shao, Jun Wang, Xiaobo Sun

K^2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting

Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang

Identifying biological perturbation targets through causal differential networks

Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi Jaakkola

Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime

Diyuan Wu, Marco Mondelli

Aligning Spoken Dialogue Models from User Interactions

Anne Wu, Laurent Mazare, Neil Zeghidour, Alexandre Defossez

Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM

Penghao Wu, Lewei Lu, Ziwei Liu

Few-Shot Learner Generalizes Across AI-Generated Image Detection

Shiyu Wu, Jing Liu, Jing Li, Yequan Wang

Preserving AUC Fairness in Learning with Noisy Protected Groups

Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, ZHENHUAN YANG

Divide and Conquer: Learning Label Distribution with Subtasks

Haitao Wu, Weiwei Li, Xiuyi Jia

Thinking LLMs: General Instruction Following with Thought Generation

Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason E Weston

Label Distribution Propagation-based Label Completion for Crowdsourcing

Tong Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li

SpikF: Spiking Fourier Network for Efficient Long-term Prediction

Wenjie Wu, Dexuan Huo, Hong Chen

GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning

Nannan Wu, Yuming Huang, Yiming Zhao, Jie Chen, Wenjun Wang

In-Context Learning as Conditioned Associative Memory Retrieval

Weimin Wu, Teng-Yun Hsiao, Jerry Yao-Chieh Hu, Wenxin Zhang, Han Liu

How Do Transformers Learn Variable Binding in Symbolic Programs?

Yiwei Wu, Atticus Geiger, Raphaël Millière

CollabLLM: From Passive Responders to Active Collaborators

Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li

Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond

Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun

Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy

Haoqi Wu, Wei Dai, Wang Li, Qiang Yan

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning

Fangwen Wu, Lechao Cheng, Shengeng Tang, Xiaofeng Zhu, Chaowei Fang

LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression

Haotian Wu, Gongpu Chen, Pier Luigi Dragotti, Deniz Gündüz

Cross-Modal Alignment via Variational Copula Modelling

Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu

Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer

Yulun Wu, Doron L Bergman

Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression

Jingfeng Wu, Peter Bartlett, Matus Telgarsky, Bin Yu

AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders

Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang

Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study

Shelvia Wongso, Rohan Ghosh, Mehul Motani

An End-to-End Model for Logits-Based Large Language Models Watermarking

Ka Him Wong, Jicheng Zhou, Jiantao Zhou, Yain-Whar Si

The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence

Tom Wollschläger, Jannes Elstner, Simon Geisler, Vincent Cohen-Addad, Stephan Günnemann

Context is Key: A Benchmark for Forecasting with Essential Textual Information

Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian

Exploring Representations and Interventions in Time Series Foundation Models

Michał Wiliński, Mononito Goswami, Willa Potosnak, Nina Żukowska, Artur Dubrawski

Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration

Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine

RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts

Hjalmar Wijk, Tao Roa Lin, Joel Becker, Sami Jawhar, Neev Parikh

Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN

Talal Widatalla, Richard W. Shuai, Brian Hie, Possu Huang

Certification for Differentially Private Prediction in Gradient-Based Training

Matthew Robert Wicker, Philip Sosnin, Igor Shilov, Adrianna Janik, Mark Niklas Mueller

Spatial Reasoning with Denoising Models

Christopher Wewer, Bartlomiej Pogodzinski, Bernt Schiele, Jan Eric Lenssen

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen

PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction

Aaron Wenteler, Martina Occhetta, Nikhil Branson, Victor Curean, Magdalena Huebner

TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation

Gwen Yidou Weng, Benjie Wang, Guy Van den Broeck

Clustering Properties of Self-Supervised Learning

Xi Weng, Jianing An, Xudong Ma, Binhang Qi, Jie Luo

An Efficient Pruner for Large Language Model with Theoretical Guarantee

Canhong Wen, Yihong Zuo, Wenliang Pan

DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression

Junjie Wen, Yichen Zhu, Minjie Zhu, Zhibin Tang, Jinming Li

Distributed Conformal Prediction via Message Passing

Haifeng Wen, Hong Xing, Osvaldo Simeone

Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation

Tiansheng Wen, Yifei Wang, Zequn Zeng, Zhong Peng, Yudi Su

Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments

Qianglin Wen, Chengchun Shi, Ying Yang, Niansheng Tang, Hongtu Zhu

Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification

Jie Wen, Yadong Liu, Zhanyan Tang, Yuting He, Yulong Chen

Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective

Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq

Adversarial Combinatorial Semi-bandits with Graph Feedback

Yuxiao Wen

Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction

Ruben Weitzman, Peter Mørch Groth, Lood van Niekerk, Aoi Otani, Yarin Gal

Perception in Reflection

YANA WEI, Liang Zhao, Kangheng Lin, En Yu, Yuang Peng

Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG

Xinxu Wei, Kanhao Zhao, Yong Jiao, Hua Xie, Lifang He

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability

CHEN WEI, Chi Zhang, Jiachen Zou, Haotian Deng, Dietmar Heinke

Self-Consuming Generative Models with Adversarially Curated Data

Xiukun Wei, Xueru Zhang

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models

Quan Wei, Chung-Yiu Yau, Hoi To Wai, Yang Zhao, Dongyeop Kang

Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction

Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen

Zero-Inflated Bandits

Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song

Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent

Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan

Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces

Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee

Stream-level Flow Matching with Gaussian Processes

Ganchao Wei, Li Ma

VideoRoPE: What Makes for Good Video Rotary Position Embedding?

Xilin Wei, Xiaoran Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang

Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection

Zhipeng Wei, Yuqi Liu, N. Benjamin Erichson

Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws

Xiyuan Wei, Ming Lin, Fanjiang Ye, Fengguang Song, Liangliang Cao

Closed-form Solutions: A New Perspective on Solving Differential Equations

Shu Wei, Yanjie Li, Lina Yu, Weijun Li, Min Wu