ICLR 2025

3,703 papers

Large Scale Knowledge Washing

Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian McAuley

Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints

Mihaela C. Stoian, Eleonora Giunchiglia

Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge

Haomiao Xiong, Zongxin Yang, Jiazuo Yu, Yunzhi Zhuge, Lu Zhang

Jailbreaking as a Reward Misspecification Problem

Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu

Solving Video Inverse Problems Using Image Diffusion Models

Taesung Kwon, Jong Chul Ye

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification

Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning

Xiangyu Zeng, Kunchang Li, Chenting Wang, Xinhao Li, Tianxiang Jiang

Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction

Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang

Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets

Guangqi Jiang, Yifei Sun, Tao Huang, Huanyu Li, Yongyuan Liang

TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters

Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen

Connecting Federated ADMM to Bayes

Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-velez

Discrete Codebook World Models for Continuous Control

Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck

Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors

Haiyu Wu, Jaskirat Singh, Sicong Tian, Liang Zheng, Kevin Bowyer

Understanding Long Videos with Multimodal Language Models

Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S Ryoo

Unhackable Temporal Reward for Scalable Video MLLMs

En Yu, Kangheng Lin, Liang Zhao, YANA WEI, Zining Zhu

Locality Sensitive Avatars From Video

Chunjin Song, Zhijie Wu, Shih-Yang Su, Bastian Wandt, Leonid Sigal

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions

Nate Gillman, Daksh Aggarwal, Michael Freeman, Chen Sun

Robustness of Quantum Algorithms for Nonconvex Optimization

Weiyuan Gong, Chenyi Zhang, Tongyang Li

Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations

Nicholas Jiang, Anish Kachinthaya, Suzanne Petryk, Yossi Gandelsman

Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation

Kangfu Mei, Mo Zhou, Vishal M. Patel

Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision

Orr Zohar, Xiaohan Wang, Yonatan Bitton, Idan Szpektor, Serena Yeung-Levy

Hessian-Free Online Certified Unlearning

Xinbao Qiao, Meng Zhang, Ming Tang, Ermin Wei

CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models

Zheng Chong, Xiao Dong, Haoxiang Li, Shiyue Zhang, Wenqing Zhang

DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image

Qingxuan Wu, Zhiyang Dou, Sirui Xu, Soshi Shimada, Chen Wang

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning

Haoran Xu, Shuozhe Li, Harshit Sikchi, Scott Niekum, Amy Zhang

ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY

Chenrui Tie, Yue Chen, Ruihai Wu, Boxuan Dong, Zeyi Li

Asymmetric Factorized Bilinear Operation for Vision Transformer

Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu

Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models

Fu-Yun Wang, Yunhao Shui, Jingtan Piao, Keqiang Sun, hongsheng Li

Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, hongsheng Li

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability

Shufan Shen, Zhaobo Qi, Junshu Sun, Qingming Huang, Qi Tian

MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks

Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang

Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics

Alexander Tyurin

Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation

Zhi Cen, Huaijin Pi, Sida Peng, Qing Shuai, Yujun Shen

PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify

Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval

Shangzhe Di, Zhelun Yu, Guanghao Zhang, Haoyuan Li, TaoZhong

Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach

Zechen Bai, Tianjun Xiao, Tong He, Pichao WANG, Zheng Zhang

Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher

Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang

Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes

Jianqi Chen, Panwen Hu, Xiaojun Chang, Zhenwei Shi, Michael Kampffmeyer

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents

Haiyang SHEN, Yue Li, Desong Meng, Dongqi Cai, Sheng Qi

Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier

Lu Yi, Zhewei Wei

GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision

Zihui Zhang, Yafei YANG, Hongtao Wen, Bo Yang

Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount

Yanbiao Ma, Wei Dai, Jiayi Chen

Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation

Shengyuan Zhang, Ling Yang, Zejian Li, An Zhao, Chenye Meng

OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting

Xing Hu, Yuan Cheng, Dawei Yang, Zhixuan Chen, Zukang Xu

CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems

Long Wei, Haodong Feng, Yuchen Yang, Ruiqi Feng, Peiyan Hu

In-Context Editing: Learning Knowledge from Self-Induced Distributions

Siyuan Qi, Bangcheng Yang, Kailin Jiang, Xiaobo Wang, Jiaqi Li

Regulatory DNA Sequence Design with Reinforcement Learning

Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Shahbaz Khan

Diffusion Feedback Helps CLIP See Better

Wenxuan Wang, Quan Sun, Fan Zhang, Yepeng Tang, Jing Liu

Artificial Kuramoto Oscillatory Neurons

Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling

kNN Attention Demystified: A Theoretical Exploration for Scalable Transformers

Themistoklis Haris

Do as We Do, Not as You Think: the Conformity of Large Language Models

Zhiyuan Weng, Guikun Chen, Wenguan Wang

IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION

Chuanyang Zheng

ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models

Seonghwan Park, Jaehyeon Jeong, Yongjun Kim, Jaeho Lee, Namhoon Lee

Effective Interplay between Sparsity and Quantization: From Theory to Practice

Simla Burcu Harma, Ayan Chakraborty, Elizaveta Kostenok, Danila Mishin, Dongho Ha

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models

Peng Xia, Siwei Han, Shi Qiu, Yiyang Zhou, Zhaoyang Wang

Remove Symmetries to Control Model Expressivity and Improve Optimization

Liu Ziyin, Yizhou Xu, Isaac L. Chuang

Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost

Zhong Zheng, Haochen Zhang, Lingzhou Xue

Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition

Zhong Zheng, Haochen Zhang, Lingzhou Xue

Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge

Aparna Elangovan, Lei Xu, Jongwoo Ko, Mahsa Elyasi, Ling Liu

REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments

Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee

MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA

Hanrong Ye, Haotian Zhang, Erik Daxberger, Lin Chen, Zongyu Lin

GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation

Dingdong Yang, Yizhi Wang, Konrad Schindler, Ali Mahdavi Amiri, Hao Zhang

Poison-splat: Computation Cost Attack on 3D Gaussian Splatting

Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng Yan

Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation

Sheng-Feng Yu, Jia-Jiun Yao, Wei-Chen Chiu

Causal Identification for Complex Functional Longitudinal Studies

Andrew Ying

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

Matthew Chang, Gunjan Chhablani, Alexander Clegg, Mikael Dallaire Cote, Ruta Desai

VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking

Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo

Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias

Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang

Training-Free Dataset Pruning for Instance Segmentation

Yalun Dai, Lingao Xiao, Ivor Tsang, Yang He

Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning

Calarina Muslimani, Matthew E. Taylor

Incremental Causal Effect for Time to Treatment Initialization

Andrew Ying, Zhichen Zhao, Ronghui Xu

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation

Haoyi Zhu, Honghui Yang, Yating Wang, Jiange Yang, Limin Wang

Depth Any Video with Scalable Synthetic Data

Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu

SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection

Jingjie Zhang, Hanqun CAO, Zijun Gao, Xiaorui Wang, Chunbin Gu

Learning Clustering-based Prototypes for Compositional Zero-Shot Learning

Hongyu Qu, Jianan Wei, Xiangbo Shu, Wenguan Wang

Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios

Li Huaqiu, HuXiaowan, Haoqian Wang

Statistical Advantages of Perturbing Cosine Router in Mixture of Experts

Huy Nguyen, Pedram Akbarian, Huyen Trang Pham, Thien Trang Nguyen Vu, Shujian Zhang

Training-Free Activation Sparsity in Large Language Models

James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim

FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference

Xunhao Lai, Jianqiao Lu, Yao Luo, Yiyuan Ma, Xun Zhou

TLDR: Token-Level Detective Reward Model for Large Vision Language Models

Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang

Transformers Learn Low Sensitivity Functions: Investigations and Implications

Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang

MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code

Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi

FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling

Zhengqiang Zhang, Ruihuang Li, Lei Zhang

Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment

Yizhi Song, Liu He, Zhifei Zhang, Soo Ye Kim, He Zhang

VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning

Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili

Cross-Embodiment Dexterous Grasping with Reinforcement Learning

Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu

TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models

Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li

Calibrating LLMs with Information-Theoretic Evidential Deep Learning

Yawei Li, David Rügamer, Bernd Bischl, Mina Rezaei

AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation

Yukang Cao, Liang Pan, Kai Han, Kwan-Yee K. Wong, Ziwei Liu

GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion

Xiaojian Lin, Hanhui Li, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu

Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models

Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox

Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model

Jincheng Zhong, Xiangcheng Zhang, Jianmin Wang, Mingsheng Long

See What You Are Told: Visual Attention Sink in Large Multimodal Models

Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang

LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization

Guanzheng Chen, Xin Li, Michael Shieh, Lidong Bing

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling

Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han

HaDeMiF: Hallucination Detection and Mitigation in Large Language Models

Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, Wei Ye, Shikun Zhang

MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors

Qingming Liu, Yuan Liu, Jiepeng Wang, Xianqiang Lyu, Peng Wang

Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images

Canfer Akbulut, Kevin Robinson, Maribeth Rauh, Isabela Albuquerque, Olivia Wiles