ICLR 2025

3,703 papers

Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning

Yang You, Yixin Li, Congyue Deng, Yue Wang, Leonidas Guibas

Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy

Zhenghai Xue, Bo An, Shuicheng Yan

Memory Efficient Transformer Adapter for Dense Predictions

Dong Zhang, Rui Yan, Pingcheng Dong, Kwang-Ting Cheng

Latent Radiance Fields with 3D-aware 2D Representations

Chaoyi Zhou, Xi Liu, Feng Luo, Siyu Huang

Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance

Xu Shifeng, Yanzhu Liu, Adams Wai-Kin Kong

Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization

Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan

CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding

Guo Chen, Yicheng Liu, Yifei Huang, Baoqi Pei, Jilan Xu

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang

Perm: A Parametric Representation for Multi-Style 3D Hair Modeling

Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Sören Pirk

Learning Gain Map for Inverse Tone Mapping

Yinuo Liao, Yuanshen Guan, Ruikang Xu, Jiacheng Li, Shida Sun

PolaFormer: Polarity-aware Linear Attention for Vision Transformers

Weikang Meng, Yadan Luo, Xin Li, Dongmei Jiang, Zheng Zhang

AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations

Pei Zhou, Ruizhe Liu, Qian Luo, Fan Wang, Yibing Song

RocketEval: Efficient automated LLM evaluation via grading checklist

Tianjun Wei, Wei Wen, Ruizhi Qiao, Xing Sun, Jianghong Ma

Aligned Datasets Improve Detection of Latent Diffusion-Generated Images

Anirudh Sundara Rajan, Utkarsh Ojha, Jedidiah Schloesser, Yong Jae Lee

Can One Modality Model Synergize Training of Other Modality Models?

Jae-Jun Lee, Sung Whan Yoon

Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning

Hyun Kyu Lee, Sung Whan Yoon

Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference

Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model

Chongkai Gao, Haozhuo Zhang, Zhixuan Xu, Cai Zhehao, Lin Shao

Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Zhenwei Wang, Tengfei Wang, Zexin He, Gerhard Petrus Hancke, Ziwei Liu

Towards Domain Adaptive Neural Contextual Bandits

Ziyan Wang, Xiaoming Huo, Hao Wang

VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology

Yi Xiao, Qilong Jia, Kun Chen, LEI BAI, Wei Xue

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics

Qinshuo Liu, Weiqin Zhao, Wei Huang, Yanwen Fang, Lequan Yu

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian

Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models

Dario Shariatian, Umut Simsekli, Alain Oliviero Durmus

It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation

Sohan Patnaik, Milan Aggarwal, Sumit Bhatia, Balaji Krishnamurthy

Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory

Nikola Zubic, Federico Soldà, Aurelio Sulser, Davide Scaramuzza

Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power

Lijia Yu, yibo miao, Yifan Zhu, Xiao-Shan Gao, Lijun Zhang

Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?

Letitia Parcalabescu, Anette Frank

HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing

Huaijin Wu, Lianqiang Li, Hantao Huang, Tu Yi, Jihang Zhang

Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning

Gyoung S. Na, Chanyoung Park

SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback

Jingsheng Gao, Linxu Li, Ke Ji, Weiyuan Li, Yixin Lian

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan

UniGEM: A Unified Approach to Generation and Property Prediction for Molecules

Shikun Feng, Yuyan Ni, Lu Yan, Zhi-ming Ma, Wei-Ying Ma

EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos

Jilan Xu, Yifei Huang, Baoqi Pei, Junlin Hou, Qingqiu Li

REEF: Representation Encoding Fingerprints for Large Language Models

Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering

Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su

Bandit Learning in Matching Markets with Indifference

Fang Kong, Jingqi Tang, Mingzhu Li, Pinyan Lu, John C.S. Lui

Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization

Wei LIN, Jia Wan, Antoni B. Chan

Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity

Mutian He, Philip N. Garner

Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free

Ziyue Li, Tianyi Zhou

High-Quality Joint Image and Video Tokenization with Causal VAE

Dawit Mureja Argaw, Xian Liu, Qinsheng Zhang, Joon Son Chung, Ming-Yu Liu

Vertical Federated Learning with Missing Features During Training and Inference

Pedro Valdeira, Shiqiang Wang, Yuejie Chi

RRM: Robust Reward Model Training Mitigates Reward Hacking

Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu

TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification

Bo Hu, Tat-Jen Cham

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection

Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao

Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement

Jaehun Jung, Faeze Brahman, Yejin Choi

pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation

Shentong Mo, Xufang Luo, Dongsheng Li

Chain-of-region: Visual Language Models Need Details for Diagram Analysis

Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen

Neural Approximate Mirror Maps for Constrained Diffusion Models

Berthy Feng, Ricardo Baptista, Katherine Bouman

Personalized Visual Instruction Tuning

Renjie Pi, Jianshu Zhang, Tianyang Han, Jipeng Zhang, Rui Pan

On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation

Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang

Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment

Minh-Quan Le, Gaurav Mittal, Tianjian Meng, A S M Iftekhar, Vishwas Suryanarayanan

Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds

Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann

Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis

Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher Brinton

Scaling Wearable Foundation Models

Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu

Efficient Dictionary Learning with Switch Sparse Autoencoders

Anish Mudide, Joshua Engels, Eric J Michaud, Max Tegmark, Christian Schroeder de Witt

A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals

Grace Liu, Michael Tang, Benjamin Eysenbach

Controlled LLM Decoding via Discrete Auto-regressive Biasing

Patrick Pynadath, Ruqi Zhang

U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models

Song Mei

VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning

Yongshuo Zong, Ondrej Bohdal, Timothy Hospedales

Improving Data Efficiency via Curating LLM-Driven Rating Systems

Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang

ADIFF: Explaining audio difference using natural language

Soham Deshmukh, Shuo Han, Rita Singh, Bhiksha Raj

ToolACE: Winning the Points of LLM Function Calling

Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu

ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences

Yuxin Wang, Xiaomeng Zhu, Weimin Lyu, Saeed Hassanpour, Soroush Vosoughi

Formation of Representations in Neural Networks

Liu Ziyin, Isaac L. Chuang, Tomer Galanti, Tomaso A Poggio

MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models

Jingwei Xu, Junyu Lai, Yunpeng Huang

Training-Free Diffusion Model Alignment with Sampling Demons

Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng Chen

ECHOPulse: ECG Controlled Echocardio-gram Video Generation

Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan

Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization

Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu

Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models

Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou

Prototype antithesis for biological few-shot class-incremental learning

Binghao Liu, Han Yang, Fang Wan, Fei Gu

Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series

Yuxiao Hu, Qian Li, Dongxiao Zhang, Jinyue Yan, Yuntian Chen

Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles

Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley

Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection

Guangsheng Bao, Yanbin Zhao, Juncai He, Yue Zhang

Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation

Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan

OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework

Junliang Chen, Huaiyuan Xu, Yi Wang, Lap-Pui Chau

Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion

Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz

Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models

Hanmo Liu, Shimin DI, Jialiang Wang, Zhili Wang, Jiachuan Wang

Differential Transformer

Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu

Integrative Decoding: Improving Factuality via Implicit Self-consistency

Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

Shengpeng Ji, Ziyue Jiang, Wen Wang, Yifu Chen, Minghui Fang

BrainOOD: Out-of-distribution Generalizable Brain Network Analysis

Jiaxing Xu, Yongqiang Chen, Xia Dong, Mengcheng Lan, Tiancheng Huang

Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning

Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen

Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection

Song Li, Yang Tan, Song Ke, Liang Hong, Bingxin Zhou

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)

Subba Reddy Oota, Akshett Rai Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi GNVV

On the Expressive Power of Sparse Geometric MPNNs

Yonatan Sverdlov, Nadav Dym

REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS

Yonatan Sverdlov, Ido Springer, Nadav Dym

Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation

Chengwen Qi, Ren Ma, Bowen Li, He Du, Binyuan Hui

Track-On: Transformer-based Online Point Tracking with Memory

Görkay Aydemir, Xiongyi Cai, Weidi Xie, Fatma Guney

High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation

Ziye Wang, Yiran Qin, Lin Zeng, Ruimao Zhang

PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark

Mingquan Feng, Yixin Huang, Yizhou Liu, Bofang Jiang, Junchi Yan

SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs

Mingquan Feng, Yixin Huang, Weixin Liao, Yuhong Liu, Yizhou Liu

ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors

Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim Hee Lee

Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement

Stathis Megas, Daniel G. Chen, Krzysztof Polanski, Moshe Eliasof, Carola-Bibiane Schönlieb

Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs

Feilong Tang, Zile Huang, Chengzhi Liu, Qiang Sun, Harry Yang

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Shengda Fan, Xin Cong, Yuepeng Fu, Zhong Zhang, Shuyan Zhang

Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization

Guangtao Lyu, Chenghao Xu, Jiexi Yan, Muli Yang, Cheng Deng

Accelerating Diffusion Transformers with Token-wise Feature Caching

Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang