ICML 2025

3,330 papers

Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models

Haoyu Peter Wang, Shikun Liu, Rongzhe Wei, Pan Li

Bayesian Active Learning for Bivariate Causal Discovery

Yuxuan Wang, Mingzhou Liu, Xinwei Sun, Wei Wang, Yizhou Wang

Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning

Yiran Wang, Chenshu Liu, Yunfan Li, Sanae Amani, Bolei Zhou

CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition

Zebin Wang, Menghan Lin, Bolin Shen, Ken Anderson, Molei Liu

NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric

Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Pang Wei Koh, Chuan-Sheng Foo

A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents

Kaiwen Wang, Dawen Liang, Nathan Kallus, Wen Sun

Enhancing Foundation Models with Federated Domain Knowledge Infusion

Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu

Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization

Peng Wang, Yong Li, Lin Zhao, Xiu-Shen Wei

EpiCoder: Encompassing Diversity and Complexity in Code Generation

Yaoxiang Wang, Haoling Li, Xin Zhang, Jie Wu, Xiao Liu

Differentiable Solver Search for Fast Diffusion Sampling

Shuai Wang, Zexian Li, Qipeng Zhang, Tianhui Song, Xubin Li

Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning

Xinrui Wang, Shao-Yuan Li, Jiaqiang Zhang, Songcan Chen

DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning

Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang

Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness

Yuntao Wang, Yuxuan Li, Qingyuan Yang, Hu Ding

Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models

Shuoyuan Wang, Yixuan Li, Hongxin Wei

Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition

Zichen Wang, Chuanhao Li, Huazheng Wang

Improving Rationality in the Reasoning Process of Language Models through Self-playing Game

Pinzheng Wang, Juntao Li, Zecheng Tang, Haijia Gui, Min Zhang

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation

Zhendong Wang, Max Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan

polybasic Speculative Decoding Through a Theoretical Perspective

Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao

Learning Fused State Representations for Control from Multi-View Observations

Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche

Large Displacement Motion Transfer with Unsupervised Anytime Interpolation

Guixiang Wang, Jianjun Li

Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM

Xiong Wang, Yangze Li, Chaoyou Fu, Yike Zhang, Yunhang Shen

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset

Yilin Wang, Peixuan Lei, Jie Song, Yuzhe Hao, Tao Chen

M+: Extending MemoryLLM with Scalable Long-Term Memory

Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou

Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG

Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models

Hanting Wang, Tao Jin, Wang Lin, Shulei Wang, Hai Huang

Event-Customized Image Generation

Zhen Wang, Yilei Jiang, Dong Zheng, Jun Xiao, Long Chen

Transfer Learning for Nonparametric Contextual Dynamic Pricing

Fan Wang, Feiyu Jiang, Zifeng Zhao, Yi Yu

The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them)

Zihao Wang, Yibo Jiang, Jiahao Yu, Heqing Huang

Unified K-Means Clustering with Label-Guided Manifold Learning

Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin

Shuo Wang, Shunyang Huang, Jinghui Yuan, Zhixiang Shen, Zhao Kang

Projection Pursuit Density Ratio Estimation

Meilin Wang, Wei Huang, Mingming Gong, Zheng Zhang

ELoRA: Low-Rank Adaptation for Equivariant GNNs

Chen Wang, Siyu Hu, Guangming Tan, Weile Jia

Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis

Xu Wang, Yan Hu, Wenyu Du, Reynold Cheng, Benyou Wang

Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective

Jianyu Wang, Zhiqiang Hu, Lidong Bing

MATS: An Audio Language Model under Text-only Supervision

Wen Wang, Ruibing Hou, Hong Chang, Shiguang Shan, Xilin Chen

PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models

Fanmeng Wang, Wentao Guo, Qi Ou, Hongshuai Wang, Haitao Lin

LLM-Augmented Chemical Synthesis and Design Decision Programs

Haorui Wang, Jeff Guo, Lingkai Kong, Rampi Ramprasad, Philippe Schwaller

MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment

Tianze Wang, Dongnan Gui, Yifan Hu, Shuhang Lin, Linjun Zhang

Optimizing Large Language Model Training Using FP4 Quantization

Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang

GRAM: A Generative Foundation Reward Model for Reward Generalization

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He

From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning

Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian

FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning

Ganyu Wang, Jinjie Fang, Maxwell Juncheng Yin, Bin Gu, Xi Chen

DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation

Changshuo Wang, Xiang Fang, Prayag Tiwari

GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning

Xiangheng Wang, Ziquan Fang, Chenglong Huang, Danlei Hu, Lu Chen

Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules

Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou

Compositional Scene Understanding through Inverse Generative Modeling

Yanbo Wang, Justin Dauwels, Yilun Du

Guided Structural Inference: Leveraging Priors with Soft Gating Mechanisms

Aoran Wang, Xinnan Dai, Jun Pang

Sampling from Binary Quadratic Distributions via Stochastic Localization

Chenguang Wang, Kaiyuan Cui, Weichen Zhao, Tianshu Yu

On Understanding Attention-Based In-Context Learning for Categorical Data

Aaron T Wang, William Convertino, Xiang Cheng, Ricardo Henao, Lawrence Carin

CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale

Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu

WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction

Fanmeng Wang, Minjie Cheng, Hongteng Xu

TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation

Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu

FrameBridge: Improving Image-to-Video Generation with Bridge Models

Yuji Wang, Zehua Chen, Chen Xiaoyu, Yixiang Wei, Jun Zhu

Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning

Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Licheng Pan

How to Evaluate and Mitigate IP Infringement in Visual Generative AI?

Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu

MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation

Jiawen Wang, Yinda Chen, Xiaoyu Liu, Che Liu, Dong Liu

Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization

Xiuyuan Wang, Chaochao Chen, Weiming Liu, Xinting Liao, Fan Wang

Learning Event Completeness for Weakly Supervised Video Anomaly Detection

Yu Wang, Shiwei Chen

A Manifold Perspective on the Statistical Generalization of Graph Neural Networks

Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro

Federated Causal Structure Learning with Non-identical Variable Sets

Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang

TruthFlow: Truthful LLM Generation via Representation Flow Correction

Hanyu Wang, Bochuan Cao, Yuanpu Cao, Jinghui Chen

Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds

Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Ali H. Sayed

Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances

Jie Wang, March Boedihardjo, Yao Xie

Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin

Yuchen Wang, Xuefeng Bai, Xiucheng Li, Weili Guan, Liqiang Nie

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding

Ziyao Wang, Muneeza Azmat, Ang Li, Raya Horesh, Mikhail Yurochkin

Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization

Shiyu Wang, Mariam Avagyan, Yihan Shen, Arnaud Lamy, Tingran Wang

Backdoor Attacks in Token Selection of Attention Mechanism

Yunjuan Wang, Raman Arora

How to set AdamW’s weight decay as you scale model and dataset size

Xi Wang, Laurence Aitchison

Schwarz–Schur Involution: Lightspeed Differentiable Sparse Linear Solvers

Yu Wang, Mazdak Abulnaga, Yael Balbastre, Bruce Fischl

Action Dubber: Timing Audible Actions via Inflectional Flow

Wenlong Wan, Weiying Zheng, Tianyi Xiang, Guiqing Li, Shengfeng He

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity

Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming LYU, Qing Guo

Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning

Fengqiang Wan, Yang Yang

Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making

Xu Wan, Wenyue Xu, Chao Yang, Mingyang Sun

Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection

Zhijing Wan, Zhixiang Wang, Zheng Wang, Xin Xu, Shin’ichi Satoh

Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers

Zhengchao Wan, Qingsong Wang, Gal Mishne, Yusu Wang

Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters

Hongyi Wan, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng

PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization

Xinyi Wan, Penghui Qi, Guangxing Huang, Min Lin, Jialin Li

EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph

Guancheng Wan, Zewen Liu, Xiaojun Shan, Max Sy Lau, B. Aditya Prakash

Rethink GraphODE Generalization within Coupled Dynamical System

Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun

Behavioral Exploration: Learning to Explore via In-Context Adaptation

Andrew Wagenmaker, Zhiyuan Zhou, Sergey Levine

MiraGe: Editable 2D Images using Gaussian Splatting

Joanna Waczyńska, Tomasz Szczepanik, Piotr Borycki, Slawomir Tadeja, Thomas Bohné

Topological Signatures of Adversaries in Multimodal Alignments

Minh N. Vu, Geigh Zollicoffer, Huy Mai, Ben Nebgen, Boian Alexandrov

Generalized Interpolating Discrete Diffusion

Dimitri von Rütte, Janis Fluri, Yuhui Ding, Antonio Orvieto, Bernhard Schölkopf

Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms

Julius von Rohrscheidt, Bastian Rieck

Feature Importance Metrics in the Presence of Missing Data

Henrik Von Kleist, Joshua Wendland, Ilya Shpitser, Carsten Marr

Calibrated Value-Aware Model Learning with Probabilistic Environment Models

Claas A Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski

Equivariant Polynomial Functional Networks

Thieu Vo, Hoang V. Tran, Tho Tran Huu, An Nguyen The, Thanh Tran

B-score: Detecting biases in large language models using response history

An Vo, Mohammad Reza Taesiri, Daeyoung Kim, Anh Totti Nguyen

What Makes a Good Feedforward Computational Graph?

Alex Vitvitskyi, João Guilherme Madeira Araújo, Marc Lackenby, Petar Veličković

Prune ’n Predict: Optimizing LLM Decision-making with Conformal Prediction

Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolò Dalmasso, Natraj Raman

Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL

Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi GNVV, Sui Jiet Tay, Ramya Korlakai Vinayak

Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows

Gabriele Visentin, Patrick Cheridito

PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning

Angel Villar-Corrales, Sven Behnke

Flexibility-conditioned protein structure design with flow matching

Vsevolod Viliuga, Leif Seute, Nicolas Wolf, Simon Wagner, Arne Elofsson

AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation

Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Vandana Mukherjee, Xin Zhang

Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions

David Vigouroux, Joseba Dalmau, Louis Béthune, Victor Boutin

IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic

Stefano Viel, Luca Viano, Volkan Cevher

Language Models over Canonical Byte-Pair Encodings

Tim Vieira, Tianyu Liu, Clemente Pasti, Yahya Emara, Brian DuSell

From Language Models over Tokens to Language Models over Characters

Tim Vieira, Benjamin LeBrun, Mario Giulianelli, Juan Luis Gastaldi, Brian DuSell

BaxBench: Can LLMs Generate Correct and Secure Backends?

Mark Vero, Niels Mündler, Victor Chibotaru, Veselin Raychev, Maximilian Baader