ICLR 2025

3,703 papers

Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models

Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu

FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models

Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian

A Benchmark for Semantic Sensitive Information in LLMs Outputs

Qingjie Zhang, Han Qiu, Di Wang, Yiming Li, Tianwei Zhang

Problem-Parameter-Free Federated Learning

Wenjing YAN, Kai Zhang, Xiaolu Wang, Xuanyu Cao

DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation

Jing He, Haodong Li, huyongzhe, Guibao Shen, Yingjie Cai

GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models

Zewei Zhang, Huan Liu, Jun Chen, Xiangyu Xu

Are Large Vision Language Models Good Game Players?

Xinyu Wang, Bohan Zhuang, Qi Wu

Difference-of-submodular Bregman Divergence

Masanari Kimura, Takahiro Kawashima, Tasuku Soma, Hideitsu Hino

Concept Bottleneck Language Models For Protein Design

Aya Abdelsalam Ismail, Tuomas Oikarinen, Amy Wang, Julius Adebayo, Samuel Don Stanton

Adversarial Machine Unlearning

Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu

Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation

Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan

GSBA^K: top-K Geometric Score-based Black-box Attack

Md Farhamdur Reza, Richeng Jin, Tianfu Wu, Huaiyu Dai

Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao

Efficient Evolutionary Search Over Chemical Space with Large Language Models

Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong

Counterfactual Generative Modeling with Variational Causal Inference

Yulun Wu, Louis McConnell, Claudia Iriondo

StringLLM: Understanding the String Processing Capability of Large Language Models

Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong

Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks

Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang

Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning

Shumao Zhai, Ning Ge

Circuit Transformer: A Transformer That Preserves Logical Equivalence

Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan

Denoising Task Difficulty-based Curriculum for Training Diffusion Models

Jin-Young Kim, Hyojun Go, Soonwoo Kwon, Hyun-Gyoon Kim

KAN: Kolmogorov–Arnold Networks

Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson

Designing Concise ConvNets with Columnar Stages

Ashish Kumar, Jaesik Park

Taming Overconfidence in LLMs: Reward Calibration in RLHF

Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang

Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers

Kiyoung Seong, Seonghyun Park, SEONGHWAN KIM, Woo Youn Kim, Sungsoo Ahn

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Wang Qinsi, Jinghan Ke, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu

ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Pengwei Tang, Xiaolin Hu, Yong Liu

ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering

Zhixin Li, Yuheng Jia

Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods

Akira Ito, Masanori Yamada, Atsutoshi Kumagai

On-the-fly Preference Alignment via Principle-Guided Decoding

Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao

Universal Image Restoration Pre-training via Degradation Classification

JiaKui Hu, Lujia Jin, Zhengjian Yao, Yanye Lu

On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality

Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen

Descent with Misaligned Gradients and Applications to Hidden Convexity

Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit

Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image

Kennard Chan, Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Weisi Lin

Consistent Flow Distillation for Text-to-3D Generation

Runjie Yan, Yinbo Chen, Xiaolong Wang

PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores

Guangyi Wang, Yuren Cai, Lijiang Li, Wei Peng, Song-Zhi Su

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

Jiquan Wang, Sha Zhao, Zhiling Luo, Yangxuan Zhou, Haiteng Jiang

MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li

Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On

Siqi Wan, Jingwen Chen, Yingwei Pan, Ting Yao, Tao Mei

Perturbation-Restrained Sequential Model Editing

Jun-Yu Ma, Hong Wang, Hao-Xiang Xu, Zhen-Hua Ling, Jia-Chen Gu

Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws

YiDing Jiang, Allan Zhou, Zhili Feng, Sadhika Malladi, J Zico Kolter

SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix

Peng Dai, Feitong Tan, Qiangeng Xu, David Futschik, Ruofei Du

Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View

Xuan Liu, Jie Zhang, HaoYang Shang, Song Guo, Chengxu Yang

Personalized Representation from Personalized Generation

Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola

Anyprefer: An Agentic Framework for Preference Data Synthesis

Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia

MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Yiwen Chen, Tong He, Di Huang, Weicai Ye, Sijin Chen

Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions

Jinyoung Choi, Junoh Kang, Bohyung Han

MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation

Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

Ziyan Jiang, Rui Meng, Xinyi Yang, Semih Yavuz, Yingbo Zhou

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai

Population Transformer: Learning Population-level Representations of Neural Activity

Geeling Chau, Christopher Wang, Sabera J Talukder, Vighnesh Subramaniam, Saraswati Soedarmadji

Learning 3D Perception from Others' Predictions

Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo

IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations

Zhibing Li, Tong Wu, Jing Tan, Mengchen Zhang, Jiaqi Wang

KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics

Jindou Chen, Jidong Tian, Liang Wu, ChenXinWei, Xiaokang Yang

Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions

Zhihao He, Hang Yu, Zi Gong, Shizhan Liu, Jianguo Li

Jamba: Hybrid Transformer-Mamba Language Models

Barak Lenz, Opher Lieber, Alan Arazi, Amir Bergman, Avshalom Manevich

TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation

Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon

CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning

Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv

Generative Representational Instruction Tuning

Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei

Multi-objective Differentiable Neural Architecture Search

Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka

From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks

jie Yang, Yuwen Wang, Kaixuan Chen, Tongya Zheng, Yihe Zhou

Energy-Based Diffusion Language Models for Text Generation

Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu

Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection

Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen

Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents

Dongjun Lee, Juyong Lee, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin

An Engorgio Prompt Makes Large Language Model Babble on

Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang, Tianwei Zhang, Hao Wang

Adam-mini: Use Fewer Learning Rates To Gain More

Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu

Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection

Yuguang Yang, Tongfei Chen, Haoyu Huang, Linlin Yang, Chunyu Xie

3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline

Jingwei Xu, Yikai Wang, Yiqun Zhao, Yanwei Fu, Shenghua Gao

I^2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps

Junseo Park, Hyeryung Jang

Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective

Zeyu Gan, Yong Liu

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL

Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng

Language models scale reliably with over-training and on downstream tasks

Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman

Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching

Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery

Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang

On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding

Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-xin Wei, Ying Nian Wu

On the Performance Analysis of Momentum Method: A Frequency Domain Perspective

Xianliang Li, Jun Luo, Zhiwei Zheng, Hanxiao Wang, Li Luo

Learning Spatiotemporal Dynamical Systems from Point Process Observations

Valerii Iakovlev, Harri Lahdesmaki

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing

June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin

Tree of Attributes Prompt Learning for Vision-Language Models

Tong Ding, Wanhua Li, Zhongqi Miao, Hanspeter Pfister

TopoGaussian: Inferring Internal Topology Structures from Visual Clues

Xiaoyu Xiong, Changyu Hu, Chunru Lin, Pingchuan Ma, Chuang Gan

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang

Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning

Patrik Reizinger, Siyuan Guo, Ferenc Huszar, Bernhard Schölkopf, Wieland Brendel

On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning

Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman Khan, Yong Liu

Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach

Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan

On the Hölder Stability of Multiset and Graph Neural Networks

Yair Davidson, Nadav Dym

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solver

Zhenting Qi, Mingyuan Ma, Jiahang Xu, Li Lyna Zhang, Fan Yang

Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs

Haowen Pan, Xiaozhi Wang, Yixin Cao, Zenglin Shi, Xun Yang

Streamlining Redundant Layers to Compress Large Language Models

Xiaodong Chen, Yuxuan Hu, Jing Zhang, Yanling Wang, Cuiping Li

Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model

Xiu Yuan, Tongzhou Mu, Stone Tao, Yunhao Fang, Mengke Zhang

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching

Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin

Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion

Harel Mendelman, Ronen Talmon

INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph

Ningyuan Li, Haihong E, Tianyu Yao, Tianyi Hu, Yuhan Li

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies

Yongxin Guo, Xiaoying Tang, Tao LIN

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra

Liang Wang, Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu

Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming

Yilun Hao, Yang Zhang, Chuchu Fan

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities

Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang

Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation

Yan Sun, Stanley Kok

MagicPIG: LSH Sampling for Efficient LLM Generation

Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang

DELTA: DENSE EFFICIENT LONG-RANGE 3D TRACKING FOR ANY VIDEO

Tuan Duc Ngo, Peiye Zhuang, Evangelos Kalogerakis, Chuang Gan, Sergey Tulyakov

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity

Qian Yu, Peng-tao Jiang, Hao Zhang, Jinwei Chen, Bo Li