ICML 2025

3,330 papers

SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning

Yong Liu, Di Fu, Shenggan Cheng, Zirui Zhu, Yang Luo

Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference

Junbin Liu, Farzan Farnia, Wing-Kin Ma

SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation

Zihan Liu, Shuangrui Ding, Zhixiong Zhang, Xiaoyi Dong, Pan Zhang

A Selective Learning Method for Temporal Graph Continual Learning

Hanmo Liu, Shimin DI, Haoyang Li, Xun Jian, Yue Wang

DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control

Guiliang Liu, Yueci Deng, Runyi Zhao, Huayi Zhou, Jian Chen

Iterative Vectors: In-Context Gradient Steering without Backpropagation

Yiting Liu, Zhi-Hong Deng

Offline Learning for Combinatorial Multi-armed Bandits

Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong

Language Models May Verbatim Complete Text They Were Not Explicitly Trained On

Ken Liu, Christopher A. Choquette-Choo, Matthew Jagielski, Peter Kairouz, Sanmi Koyejo

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation

Jingyu Liu, Beidi Chen, Ce Zhang

Physics Aware Neural Networks for Unsupervised Binding Energy Prediction

Ke Liu, Hao Chen, Chunhua Shen

SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization

Yan Liu, Mingjie Chen, Chaojie Ji, Hao Zhang, Ruxin Wang

Finite-Time Analysis of Discrete-Time Stochastic Interpolants

Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang

DragSolver: A Multi-Scale Transformer for Real-World Automotive Drag Coefficient Estimation

Ye Liu, Yuntian Chen

A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver

Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong

ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering

Lufei Liu, Tor M. Aamodt

Looking Beyond the Top-1: Transformers Determine Top Tokens in Order

Daria Lioubashevski, Tomer M. Schlank, Gabriel Stanovsky, Ariel Goldstein

On Explaining Equivariant Graph Networks via Improved Relevance Propagation

Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji

Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization

Guopeng Lin, Ruisheng Zhou, Shuyu Chen, Weili Han, Jin Tan

HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation

Tianwei Lin, Wenqiao Zhang, Sijing Li, Yuqian Yuan, Binhe Yu

Diffusion Adversarial Post-Training for One-Step Video Generation

Shanchuan Lin, Xin Xia, Yuxi Ren, Ceyuan Yang, Xuefeng Xiao

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search

Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu

Isolated Causal Effects of Natural Language

Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael

Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM’s Reasoning Capability

Zicheng Lin, Tian Liang, Jiahao Xu, Qiuzhi Liu, Xing Wang

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran

PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model

Baijiong Lin, Weisen Jiang, Yuancheng Xu, Hao Chen, Ying-Cong Chen

Latent Variable Estimation in Bayesian Black-Litterman Models

Thomas Yuan-Lung Lin, Jerry Yao-Chieh Hu, Paul W. Chiou, Peter Lin

Tightening Causal Bounds via Covariate-Aware Optimal Transport

Sirui Lin, Zijun Gao, Jose Blanchet, Peter Glynn

Temporal Query Network for Efficient Multivariate Time Series Forecasting

Shengsheng Lin, Haojun Chen, Haijie Wu, Chunyun Qiu, Weiwei Lin

Semantics-aware Test-time Adaptation for 3D Human Pose Estimation

Qiuxia Lin, Rongyu Chen, Kerui Gu, Angela Yao

Ensemble Learned Bloom Filters: Two Oracles are Better than One

Ming Lin, Lin Chen

Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries

Yuena Lin, Haichun Cai, Jun-Yi Hang, Haobo Wang, Zhen Yang

Scalable Gaussian Processes with Latent Kronecker Structure

Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, David Eriksson, José Miguel Hernández-Lobato

PRIME: Deep Imbalanced Regression with Proxies

Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin

Scaling Laws for Upcycling Mixture-of-Experts Language Models

Seng Pei Liew, Takuya Kato, Sho Takase

UnHiPPO: Uncertainty-aware Initialization for State Space Models

Marten Lienen, Abdullah Saydemir, Stephan Günnemann

Interaction-Aware Gaussian Weighting for Clustered Federated Learning

Alessandro Licciardi, Davide Leo, Eros Fanı̀, Barbara Caputo, Marco Ciccone

Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements

Manwen Liao, Yan Zhu, Weitian Zhang, Yuxiang Yang

Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization

Junyi Liao, Zihan Zhu, Ethan X Fang, Zhuoran Yang, Vahid Tarokh

Unifews: You Need Fewer Operations for Efficient Graph Neural Networks

Ningyi Liao, Zihao Yu, Ruixiao Zeng, Siqiang Luo

BOOD: Boundary-based Out-Of-Distribution Data Generation

Qilin Liao, Shuo Yang, Bo Zhao, Ping Luo, Hengshuang Zhao

Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models

Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu

Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering

Zhaohe Liao, Jiangtong Li, Siyu Sun, Qingyang Liu, Fengshun Xiao

Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models

Yangxu Liao, Wenke Huang, Guancheng Wan, Jian Liang, Bin Yang

Curvature-aware Graph Attention for PDEs on Manifolds

Yunfeng Liao, Jiawen Guan, Xiucheng Li

BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization

Zijun Liao, Jinbiao Chen, Debing Wang, Zizhen Zhang, Jiahai Wang

BSO: Binary Spiking Online Optimization Algorithm

Yu Liang, Yu Yang, Wenjie Wei, Ammar Belatreche, Shuai Wang

Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples

Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu

Trusted Multi-View Classification with Expert Knowledge Constraints

Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du

Robust Automatic Modulation Classification with Fuzzy Regularization

Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li

Compositional Generalization via Forced Rendering of Disentangled Latents

Qiyao Liang, Daoyuan Qian, Liu Ziyin, Ila R Fiete

Synonymous Variational Inference for Perceptual Image Compression

Zijian Liang, Kai Niu, Changshuo Wang, Jin Xu, Ping Zhang

Enhancing Performance of Explainable AI Models with Constrained Concept Refinement

Geyu Liang, Senne Michielssen, Salar Fattahi

BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models

Susan Liang, Dejan Markovic, Israel D. Gebru, Steven Krenn, Todd Keebler

COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering

Weixuan Liang, Xinwang Liu, Ke Liang, Jiyuan Liu, En Zhu

TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation

Tianyi Liang, Jiangqi Liu, Yifei Huang, Shiqi Jiang, Jianshen Shi

ML$^2$-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning

Jianqing Liang, Zhiqiang Li, Xinkai Wei, Yuan Liu, Zhiqiang Wang

Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification

Huang Liang, Benedict Lee, Daniel Hui Loong Ng, Kelin Xia

Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?

Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models

Jinhao Liang, Jacob K Christopher, Sven Koenig, Ferdinando Fioretto

ROPO: Robust Preference Optimization for Large Language Models

Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu

Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks

Liyuan Liang, Xinyi Chen, Gan Luo, Kun Yuan

Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set

Enming Liang, Minghua Chen

Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification

Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan

OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition

Zheng Lian, Haiyang Sun, Licai Sun, Haoyu Chen, Lan Chen

AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Zheng Lian, Haoyu Chen, Lan Chen, Haiyang Sun, Licai Sun

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts

Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation

Weihan Li, Linyun Zhou, Jian Yang, Shengxuming Zhang, Xiangtong Du

Geometric Representation Condition Improves Equivariant Molecule Generation

Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang

Tensor Decomposition Based Memory-Efficient Incremental Learning

Yuhang Li, Guoxu Zhou, Zhenhao Huang, Xinqi Chen, Yuning Qiu

Tilted Sharpness-Aware Minimization

Tian Li, Tianyi Zhou, Jeff Bilmes

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory

Feifei Li, Mi Zhang, Zhaoxiang Wang, Min Yang

LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing

Kuan Li, Liwen Zhang, Yong Jiang, Pengjun Xie, Fei Huang

CommVQ: Commutative Vector Quantization for KV Cache Compression

Junyan Li, Yang Zhang, Muhammad Yusuf Hassan, Talha Chafekar, Tianle Cai

Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search

Boyan Li, Jiayi Zhang, Ju Fan, Yanwei Xu, Chong Chen

EgoPrivacy: What Your First-Person Camera Says About You?

Yijiang Li, Genpei Zhang, Jiacheng Cheng, Yi Li, Xiaojun Shan

Automatic Reward Shaping from Confounded Offline Data

Mingxuan Li, Junzhe Zhang, Elias Bareinboim

LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination

Lihe Li, Lei Yuan, Pengsen Liu, Tao Jiang, Yang Yu

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models

Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou

Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators

Shanda Li, Shinjae Yoo, Yiming Yang

GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration

Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda

Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies

Qiang Li, Michal Yemini, Hoi To Wai

Learning from True-False Labels via Multi-modal Prompt Retrieving

Zhongnian Li, Jinghao Xu, Peng Ying, Meng Wei, Xinzheng Xu

Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification

Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang, Linchao Zhang

LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence

Zhuoling Li, Xiaogang Xu, Zhenhua Xu, Ser-Nam Lim, Hengshuang Zhao

Understanding Nonlinear Implicit Bias via Region Counts in Input Space

Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing

Zhuoying Li, Zhu Xu, Yuxin Peng, Yang Liu

Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding

Jinze Li, Yixing Xu, Haiduo Huang, Xuanwu Yin, Dong Li

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment

Cheryl Li, Tianyuan Xu, Steven Y. Guo

One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework

Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Xiaochun Cao

KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference

Xing Li, Zeyu Xing, Yiming Li, Linping Qu, Hui-Ling Zhen

Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning

Yueheng Li, Guangming Xie, Zongqing Lu

BCE vs. CE in Deep Feature Learning

qiufu li, Huibin Xiao, Linlin Shen

Extracting Rare Dependence Patterns via Adaptive Sample Reweighting

Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng

Imagine While Reasoning in Space: Multimodal Visualization-of-Thought

Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach

Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng

Approximately Correct Label Distribution Learning

Weiwei Li, Haitao Wu, Yunan Lu, Xiuyi Jia

The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models

Zichao Li, Xueru Wen, Jie Lou, Yuqiu Ji, Yaojie Lu

Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts

Haoyang Li, Xin Wang, Xueling Zhu, Weigao Wen, Wenwu Zhu

Reflection-Bench: Evaluating Epistemic Agency in Large Language Models

Lingyu Li, Yixu Wang, Haiquan Zhao, Shuqi Kong, Yan Teng