ICLR 2025

3,703 papers

Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models

Dvir Samuel, Barak Meiri, Haggai Maron, Yoad Tewel, Nir Darshan

CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control

Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo

Precise Parameter Localization for Textual Generation in Diffusion Models

Łukasz Staniszewski, Bartosz Cywiński, Franziska Boenisch, Kamil Deja, Adam Dziedzic

Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models

Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng

One for all and all for one: Efficient computation of partial Wasserstein distances on the line

Laetitia Chapel, Romain Tavenard

PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training

Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao

MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models

Jiachun Li, Pengfei Cao, Zhuoran jin, Yubo Chen, Kang Liu

Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels

Zhizheng Liu, Joe Lin, Wayne Wu, Bolei Zhou

Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting

Yilun Zheng, Xiang Li, Sitao Luan, Xiaojiang Peng, Lihui Chen

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan

Programming Refusal with Conditional Activation Steering

Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre Dognin

Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want

Weifeng Lin, Xinyu Wei, Ruichuan An, peng gao, Bocheng Zou

Model-Free Offline Reinforcement Learning with Enhanced Robustness

Chi Zhang, Zain Ulabedeen Farhat, George K. Atia, Yue Wang

Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking

Mattia Segu, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Luc Van Gool

4K4DGen: Panoramic 4D Generation at 4K Resolution

Renjie Li, Panwang Pan, Bangbang Yang, Dejia Xu, Shijie Zhou

Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models

Jingyang Zhang, Jingwei Sun, Eric Yeats, Yang Ouyang, Martin Kuo

An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Duy Kien Nguyen, Mido Assran, Unnat Jain, Martin R. Oswald, Cees G. M. Snoek

Credit-based self organizing maps: training deep topographic networks with minimal performance degradation

Amirozhan Dehghani, Xinyu Qian, Asa Farahani, Pouya Bashivan

6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering

Zhongpai Gao, Benjamin Planche, Meng Zheng, Anwesa Choudhuri, Terrence Chen

Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling

Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du

Simplifying, Stabilizing and Scaling Continuous-time Consistency Models

Cheng Lu, Yang Song

Atlas Gaussians Diffusion for 3D Generation

Haitao Yang, Yuan Dong, Hanwen Jiang, Dejia Xu, Georgios Pavlakos

SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins

Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati

SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation

Yining Hong, Beide Liu, Maxine Wu, Yuanhao Zhai, Kai-Wei Chang

SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection

Han Shen, Pin-Yu Chen, Payel Das, Tianyi Chen

FormalAlign: Automated Alignment Evaluation for Autoformalization

Jianqiao Lu, Yingjia Wan, Yinya Huang, Jing Xiong, Zhengying Liu

Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models

Jungwon Park, Jungmin Ko, Dongnam Byun, Jangwon Suh, Wonjong Rhee

Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model

Rundong He, Yicong Dong, Lan-Zhe Guo, Yilong Yin, Tailin Wu

McEval: Massively Multilingual Code Evaluation

Linzheng Chai, Shukai Liu, Jian Yang, Yuwei Yin, JinKe

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu

Data Selection via Optimal Control for Language Models

Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong

GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting

Junzhe Jiang, Chun Gu, Yurui Chen, Li Zhang

Dynamic Diffusion Transformer

Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song

PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment

Daiwei Chen, Yi Chen, Aniket Rege, Zhi Wang, Ramya Korlakai Vinayak

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen

Deep Signature: Characterization of Large-Scale Molecular Dynamics

Tiexin Qin, Mengxu ZHU, Chunyang Li, Terry Lyons, Hong Yan

BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL

Yu Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Cheng Sun

Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models

Jiyang Zheng, Jialiang Shen, Yu Yao, Min Wang, Yang Yang

Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning

Jaehyeon Son, Soochan Lee, Gunhee Kim

Towards Effective Evaluations and Comparisons for LLM Unlearning Methods

qizhou wang, Bo Han, Puning Yang, Jianing Zhu, Tongliang Liu

Learning Evolving Tools for Large Language Models

Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu

OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer

Jinyang Li, En Yu, Sijia Chen, Wenbing Tao

ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction

Ziyu Tang, Weicai Ye, Yifan Wang, Di Huang, Hujun Bao

GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling

Honghui Wang, Shiji Song, Gao Huang

Is In-Context Learning Sufficient for Instruction Following in LLMs?

Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion

Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution

Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu

BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications

Yangxuan Zhou, Sha Zhao, Jiquan Wang, Haiteng Jiang, Shijian Li

Kolmogorov-Arnold Transformer

Xingyi Yang, Xinchao Wang

Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation

Chenbin Zhang, Zhiqiang Hu, Jiang Chuchu, Wen Chen, Jie Xu

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks

Bowei He, Lihao Yin, Huiling Zhen, Jianping Zhang, Lanqing Hong

LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision

Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Michał Zieliński, Dawid Damian Rymarczyk

Framer: Interactive Frame Interpolation

Wen Wang, Qiuyu Wang, Kecheng Zheng, Hao Ouyang, Zhekai Chen

Democratic Training Against Universal Adversarial Perturbations

Bing Sun, Jun Sun, Wei Zhao

Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition

Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Jing Zhang

GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting

Changkun Liu, Shuai Chen, Yash Sanjay Bhalgat, Siyan HU, Ming Cheng

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, Trevor Darrell

Halton Scheduler for Masked Generative Image Transformer

Victor Besnier, Mickaël Chen, David Hurych, Eduardo Valle, Matthieu Cord

SoftCVI: Contrastive variational inference with self-generated soft labels

Daniel Ward, Mark Beaumont, Matteo Fasiolo

DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training

Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang

MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow

Hanzhuo Huang, Yuan Liu, Ge Zheng, Jiepeng Wang, Zhiyang Dou

Long-Sequence Recommendation Models Need Decoupled Embeddings

Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan

From Promise to Practice: Realizing High-performance Decentralized Training

Zesen Wang, Jiaojiao Zhang, Xuyang Wu, Mikael Johansson

TIPS: Text-Image Pretraining with Spatial awareness

Kevis-kokitsi Maninis, Kaifeng Chen, Soham Ghosh, Arjun Karpur, Koert Chen

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models

Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang

MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents

Yanqi Dai, Huanran Hu, Lei Wang, Shengjie Jin, Xu Chen

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision

Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu

Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data

Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection

Hengzhuang Li, Teng Zhang

Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models

Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)

Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell, Zeynep Akata

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan

Automated Proof Generation for Rust Code via Self-Evolution

Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang

A Truncated Newton Method for Optimal Transport

Mete Kemertas, Amir-massoud Farahmand, Allan Douglas Jepson

EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation

Carl Qi, Dan Haramati, Tal Daniel, Aviv Tamar, Amy Zhang

CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features

Po-han Li, Sandeep P. Chinchali, Ufuk Topcu

OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code

Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune

STAR: Stability-Inducing Weight Perturbation for Continual Learning

Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer Dy

Selective Attention Improves Transformer

Yaniv Leviathan, Matan Kalman, Yossi Matias

X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios

Yichen Xie, Chenfeng Xu, Chensheng Peng, Shuqi Zhao, nhật Hồ

Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers

Andrew Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Rajat Dewan, Margaret Marie Henderson

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout

Private Mechanism Design via Quantile Estimation

Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar, Jamie Heather Morgenstern

NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval

Sepanta Zeighami, Zac Wellmer, Aditya Parameswaran

Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling

Wenda Xu, Rujun Han, Zifeng Wang, Long Le, Dhruv Madeka

Bisimulation Metric for Model Predictive Control

Yutaka Shimizu, Masayoshi Tomizuka

Learning from weak labelers as constraints

Vishwajeet Agrawal, Rattana Pukdee, Maria Florina Balcan, Pradeep Kumar Ravikumar

KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models

Eunice Yiu, Maan Qraitem, Anisa Noor Majhi, Charlie Wong, Yutong Bai

Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies

Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu

Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features

Feng Ji, Yanan Zhao, KAI ZHAO, Hanyang Meng, Jielong Yang

PPT: Patch Order Do Matters In Time Series Pretext Task

Jaeho Kim, Kwangryeol Park, Sukmin Yun, Seulki Lee

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation

Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li

Backtracking Improves Generation Safety

Yiming Zhang, Jianfeng Chi, Hailey Nguyen, Kartikeya Upasani, Daniel M. Bikel

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods

Zukang Xu, Yuxuan Yue, Xing Hu, Dawei Yang, Zhihang Yuan

GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks

Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation

Xinchen Zhang, Ling Yang, Guohao Li, Yaqi Cai, xie jiake

Scale-aware Recognition in Satellite Images under Resource Constraints

Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala