ICML 2025

3,330 papers

Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum

Haoyang Li, Xin Wang, Zeyang Zhang, Zongyuan Wu, Linxin Xiao

RobustLight: Improving Robustness via Diffusion Reinforcement Learning for Traffic Signal Control

Mingyuan Li, Jiahao Wang, Guangsheng Yu, Xu Wang, Qianrun Chen

Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments

Baohong Li, Yingrong Wang, Anpeng Wu, Ming Ma, Ruoxuan Xiong

FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence

Yichen Li, Yuying Wang, Haozhao Wang, Yining Qi, Tianzhe Xiao

Settling the Maximin Share Fairness for Scheduling among Groups of Machines

Bo Li, Fangxiao Wang, Xing Shiji

Better to Teach than to Give: Domain Generalized Semantic Segmentation via Agent Queries with Diffusion Model Guidance

Fan Li, Xuan Wang, Min Qi, Zhaoxiang Zhang, Yuelei Xu

Geometry Informed Tokenization of Molecules for Language Model Generation

Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui

Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks

Boqi Li, Youjun Wang, Weiwei Liu

PIPA: Preference Alignment as Prior-Informed Statistical Estimation

Junbo Li, Zhangyang Wang, Qiang Liu

Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes

Weihan Li, Yule Wang, Chengrui Li, Anqi Wu

Dataflow-Guided Neuro-Symbolic Language Models for Type Inference

Gen Li, Yao Wan, Hongyu Zhang, Zhou Zhao, Wenbin Jiang

TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction

Hao Li, Hao Wan, Yuzhou Chen, Dongsheng Ye, Yulia Gel

What If We Recaption Billions of Web Images with LLaMA-3?

Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao

Improving LLM Video Understanding with 16 Frames Per Second

Yixuan Li, Changli Tang, Jimin Zhuang, Yudong Yang, Guangzhi Sun

PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification

Hongwei Li, Yuheng Tang, Shiqi Wang, Wenbo Guo

Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness

Haoxuan Li, Zeyu Tang, Zhichao Jiang, Zhuangyan Fang, Yue Liu

Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling

Jinghan Li, Zhicheng Sun, Yadong Mu

Balanced Learning for Domain Adaptive Semantic Segmentation

Wangkai Li, Rui Sun, Bohao Liao, Zhaoyang Li, Tianzhu Zhang

Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap

Xiaoyu Li, Zhao Song, Shenghao Xie

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering

Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang

Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts

Gengluo Li, Huawen Shen, Yu Zhou

VIP: Vision Instructed Pre-training for Robotic Manipulation

Zhuoling Li, Liangliang Ren, Jinrong Yang, Yong Zhao, Xiaoyang Wu

Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models

Mingjia Li, Hong Qian, Tian-Zuo Wang, Shujun Li, Min Zhang

SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior

Jing-Jing Li, Valentina Pyatkin, Max Kleiman-Weiner, Liwei Jiang, Nouha Dziri

Policy Guided Tree Search for Enhanced LLM Reasoning

Yang Li

PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop

Chenyu Li, Oscar Michel, Xichen Pan, Sainan Liu, Mike Roberts

Modified K-means Algorithm with Local Optimality Guarantees

Mingyi Li, Michael R. Metel, Akiko Takeda

Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning

Yang Li, Jiale Ma, Yebin Yang, Qitian Wu, Hongyuan Zha

Learning Input Encodings for Kernel-Optimal Implicit Neural Representations

Zhemin Li, Liyuan Ma, Hongxia Wang, Yaoyun Zeng, Xiaolong Han

Optimal Auction Design in the Joint Advertising

Yang Li, Yuchao Ma, Qi Qi

Active Evaluation Acquisition for Efficient LLM Benchmarking

Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba, Graham Horwood

STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization

Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li

The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning

Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu

Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics

Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv

BECAME: Bayesian Continual Learning with Adaptive Model Merging

Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding

From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models

Xinyang Li, Siqi Liu, Bochao Zou, Jiansheng Chen, Huimin Ma

CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention

Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models

Yuan Li, Zhengzhong Liu, Eric Xing

Local Identifying Causal Relations in the Presence of Latent Variables

Zheng Li, Zeyu Liu, Feng Xie, Hao Zhang, Chunchen Liu

RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations

Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen

FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining

Dong Li, Yidi Liu, Xueyang Fu, Jie Huang, Senyan Xu

One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory

Yuhang Li, Tong Liu, Yangguang Cui, Ming Hu, Xiaoqiang Li

R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts

Zhongyang Li, Ziyue Li, Tianyi Zhou

Approximation to Smooth Functions by Low-Rank Swish Networks

Zimeng Li, Hongjun Li, Jingyuan Wang, Ke Tang

On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics

Binghui Li, Yuanzhi Li

MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition

Wei Li, Lujun Li, Hao Gu, You-Liang Huang, Mark G. Lee

DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis

Yinghao Aaron Li, Rithesh Kumar, Zeyu Jin

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs

Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang

LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models

Fanfei Li, Thomas Klein, Wieland Brendel, Robert Geirhos, Roland S. Zimmermann

Safety Alignment Can Be Not Superficial With Explicit Safety Signals

Jianwei Li, Jung-Eun Kim

SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning

Tianjian Li, Daniel Khashabi

Blink of an eye: a simple theory for feature localization in generative models

Marvin Li, Aayush Karan, Sitan Chen

Provable Efficiency of Guidance in Diffusion Models for General Data Distribution

Gen Li, Yuchen Jiao

Instance Correlation Graph-based Naive Bayes

Chengyuan Li, Liangxiao Jiang, Wenjun Zhang, Liangjun Yu, Huan Zhang

MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention

Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo

Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits

Jinzhao Li, Nan Jiang, Yexiang Xue

On the Generalization Ability of Next-Token-Prediction Pretraining

Zhihao Li, Xue Jiang, Liyuan Liu, Xuelin Zhang, Hong Chen

Reinforced Lifelong Editing for Language Models

Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou

Learning from Sample Stability for Deep Clustering

Zhixin Li, Yuheng Jia, Hui LIU, Junhui Hou

EditLord: Learning Code Transformation Rules for Code Editing

Weichen Li, Albert Jan, Baishakhi Ray, Junfeng Yang, Chengzhi Mao

Prediction-Powered Adaptive Shrinkage Estimation

Sida Li, Nikolaos Ignatiadis

Are Large Language Models Ready for Multi-Turn Tabular Data Analysis?

Jinyang Li, Nan Huo, Yan Gao, Jiayi Shi, Yingxiu Zhao

Sounding that Object: Interactive Object-Aware Image to Audio Generation

Tingle Li, Baihe Huang, Xiaobin Zhuang, Dongya Jia, Jiawei Chen

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling

Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang

Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes

Xuetong Li, Danyang Huang, Hansheng Wang

Reward-free World Models for Online Imitation Learning

Shangzhe Li, Zhiao Huang, Hao Su

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models

Kecen Li, Zhicong Huang, Xinwen Hou, Cheng Hong

Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning

Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang

Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback

Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng

Control and Realism: Best of Both Worlds in Layout-to-Image without Training

Bonan Li, Yinhan Hu, Songhua Liu, Xinchao Wang

Adapting Precomputed Features for Efficient Graph Condensation

Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen

Optimal Task Order for Continual Learning of Multiple Tasks

Ziyan Li, Naoki Hiratani

What Limits Bidirectional Model’s Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning

Zuchao Li, Yonghua Hei, Qiwei Li, Lefei Zhang, Ping Wang

Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape

Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang

Average Sensitivity of Hierarchical k-Median Clustering

Shijie Li, Weiqiang He, Ruobing Bai, Pan Peng

R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models

Pengyi Li, Jianye Hao, Hongyao Tang, Yifu Yuan, Jinbin Qiao

Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel

Xiangchao Li, Xiao Han, Qing Yang

CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction

Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu

Instruct2See: Learning to Remove Any Obstructions Across Distributions

Junhang Li, Yu Guo, Chuhua Xian, Shengfeng He

(How) Do Language Models Track State?

Belinda Z. Li, Zifan Carl Guo, Jacob Andreas

An Efficient Private GPT Never Autoregressively Decodes

Zhengyi Li, Yue Guan, Kang Yang, Yu Feng, Ning Liu

Core Knowledge Deficits in Multi-Modal Language Models

Yijiang Li, Qingying Gao, Tianwei Zhao, Bingyang Wang, Haoran Sun

RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF

Xiaomin Li, Mingye Gao, Zhiwei Zhang, Jingxuan Fan, Weiyu Li

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off

Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen

Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models

CHAO LI, Jiawei Fan, Anbang Yao

WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving

Yiheng Li, Cunxin Fan, Chongjian GE, Seth Z. Zhao, Chenran Li

Towards Black-Box Membership Inference Attack for Diffusion Models

Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator

Yu Xin Li, Felix Dangel, Derek Tam, Colin Raffel

Eliciting Language Model Behaviors with Investigator Agents

Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang

From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline

Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu

Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation

He Li, Haoang Chi, Mingyu Liu, Wanrong Huang, Liyang Xu

Near Optimal Non-asymptotic Sample Complexity of 1-Identification

Zitian Li, Wang Chi Cheung

EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction

Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv

When Bad Data Leads to Good Models

Kenneth Li, Yida Chen, Fernanda Viégas, Martin Wattenberg

Taming Knowledge Conflicts in Language Models

Gaotang Li, Yuzhong Chen, Hanghang Tong

Large Language-Geometry Model: When LLM meets Equivariance

Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong

One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation

Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang

The Underlying Universal Statistical Structure of Natural Datasets

Noam Itzhak Levi, Yaron Oz

The Double-Ellipsoid Geometry of CLIP

Meir Yossef Levi, Guy Gilboa