ICLR 2025

3,703 papers

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text

Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye

ReAttention: Training-Free Infinite Context with Finite Attention Scope

Xiaoran Liu, Ruixiao Li, Zhigeng Liu, Qipeng Guo, Yuerong Song

Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization

Jianting Yang, Srecko Durasinovic, Jean B. Lasserre, Victor Magron, Jun Zhao

Fantastic Copyrighted Beasts and How (Not) to Generate Them

Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu

QP-SNN: Quantized and Pruned Spiking Neural Networks

Wenjie Wei, Malu Zhang, Zijian Zhou, Ammar Belatreche, Yimeng Shan

MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks

Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

Noisy Test-Time Adaptation in Vision-Language Models

Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu

Ask, and it shall be given: On the Turing completeness of prompting

Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong

Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL

Lin Long, Xijun Gu, Xinjie Sun, Wentao Ye, Haobo Wang

New Algorithms for the Learning-Augmented k-means Problem

Junyu Huang, Qilong Feng, Ziyun Huang, Zhen Zhang, Jinhui Xu

Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization

Juntao Dai, Taiye Chen, Yaodong Yang, Qian Zheng, Gang Pan

DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks

Wei Liu, Li Yang, Mingxuan Zhao, Shuxun Wang, Jin Gao

On Scaling Up 3D Gaussian Splatting Training

Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li

Do Large Language Models Truly Understand Geometric Structures?

Xiaofeng Wang, Yiming Wang, Wenhong Zhu, Rui Wang

Minimalistic Predictions for Online Class Constraint Scheduling

Dorian Guyot, Alexandra Anna Lassota

KBLaM: Knowledge Base augmented Language Model

Xi Wang, Taketomo Isazawa, Liana Mikaelyan, James Hensman

Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization

Yuchen Sun, Kejun Huang

On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations

GUOJUN XIONG, Shufan Wang, Daniel Jiang, Jian Li

From Attention to Activation: Unraveling the Enigmas of Large Language Models

Prannay Kaul, Chengcheng Ma, Ismail Elezi, Jiankang Deng

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models

Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwaraknath Gnaneshwar

Spiking Vision Transformer with Saccadic Attention

Shuai Wang, Malu Zhang, Dehao Zhang, Ammar Belatreche, Yichen Xiao

Learning Graph Invariance by Harnessing Spuriosity

Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang

Agent Skill Acquisition for Large Language Models via CycleQD

So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang

NExUME: Adaptive Training and Inference for DNNs under Intermittent Power Environments

Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut Kandemir, Chita R. Das

Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation

Shaonan Wu, Shuai Lu, Yeyun Gong, Nan Duan, Ping Wei

Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow

Hongru Yang, Zhangyang Wang, Jason D. Lee, Yingbin Liang

Interactive Adjustment for Human Trajectory Prediction with Individual Feedback

Jianhua Sun, Yuxuan Li, Liang Chai, Cewu Lu

CLIPDrag: Combining Text-based and Drag-based Instructions for Image Editing

Ziqi Jiang, Zhen Wang, Long Chen

Optimality of Matrix Mechanism on ℓ_p^p-metric

Zongrui Zou, Jingcheng Liu, Jalaj Upadhyay

Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension

Jingcheng Ke, Jun-Cheng Chen, I-hong Jhuo, Chia-Wen Lin, Yen-yu Lin

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Shengjie Ma, Chengjin Xu, Xuhui Jiang, Muzhi Li, Huaren Qu

A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization

Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang

Factor Graph-based Interpretable Neural Networks

Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo

Multi-Scale Fusion for Object Representation

Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen

AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements

Adriana Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi, Arsene Fansi Tchango, Bruno Rousseau

Unlocking the Potential of Model Calibration in Federated Learning

Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton

MuHBoost: Multi-Label Boosting For Practical Longitudinal Human Behavior Modeling

Nguyen T Thach, Patrick Habecker, Anika R. Eisenbraun, W. Alex Mason, Kimberly A. Tyler

CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling

Matthew Fortier, Mats Leon Richter, Oliver Sonnentag, Christopher Pal

No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Seyedmorteza Sadat, Manuel Kansy, Otmar Hilliges, Romann M. Weber

UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models

Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong

PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis

Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa

TFG-Flow: Training-free Guidance in Multimodal Generative Flow

Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon

YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus

Garrett Tanzer, Biao Zhang

Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements

Jingyu Zhang, Ahmed Elgohary, Ahmed Magooda, Daniel Khashabi, Benjamin Van Durme

Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning

Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong

Differentiable and Learnable Wireless Simulation with Geometric Transformers

Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer

CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark

Jian Wu, Linyi Yang, Zhen Wang, Manabu Okumura, Yue Zhang

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents

Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang

Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective

Jialong Chen, Bowen Deng, Zhen Wang, Chuan Chen, Zibin Zheng

SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings

Barbora Barancikova, Zhuoyue Huang, Cristopher Salvi

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models

Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs

Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu

Counterfactual Concept Bottleneck Models

Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra

MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions

Jian Wu, Linyi Yang, Dongyuan Li, Yuliang Ji, Manabu Okumura

JetFormer: An autoregressive generative model of raw images and text

Michael Tschannen, André Susano Pinto, Alexander Kolesnikov

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J Lee

Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning

Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski

Efficient Off-Policy Learning for High-Dimensional Action Spaces

Fabian Otto, Philipp Becker, Vien Anh Ngo, Gerhard Neumann

The Complexity of Two-Team Polymatrix Games with Independent Adversaries

Alexandros Hollender, Gilbert Maystre, Sai Ganesh Nagarajan

Biologically Constrained Barrel Cortex Model Integrates Whisker Inputs and Replicates Key Brain Network Dynamics

Tianfang Zhu, Dongli Hu, Jiandong Zhou, Kai Du, Anan Li

Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses

David Glukhov, Ziwen Han, Ilia Shumailov, Vardan Papyan, Nicolas Papernot

Adaptive backtracking line search

Joao V. Cavalcanti, Laurent Lessard, Ashia C. Wilson

Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows

Shuhao Cao, Francesco Brarda, Rui Peng Li, Yuanzhe Xi

Number Cookbook: Number Understanding of Language Models and How to Improve It

Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models

Haotian Wang, Haoxuan Li, Hao Zou, Haoang Chi, Long Lan

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding

Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou

ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks

Prakash Chandra Chhipa, Gautam Vashishtha, Settur Jithamanyu, Rajkumar Saini, Mubarak Shah

What Are Good Positional Encodings for Directed Graphs?

Yinan Huang, Haoyu Peter Wang, Pan Li

Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder

Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile

DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?

Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu

SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs

Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang, Maryam Mehri Dehnavi

Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation

Yang Tian, Sizhe Yang, Jia Zeng, Ping Wang, Dahua Lin

Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs

Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael T Schaub

Debiasing Federated Learning with Correlated Client Participation

Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, PRANAY SHARMA

TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation

Haiyang Liu, Xingchao Yang, Tomoya Akiyama, Yuantian Huang, Qiaoge Li

Learning High-Degree Parities: The Crucial Role of the Initialization

Emmanuel Abbe, Elisabetta Cornacchia, Jan Hązła, Donald Kougang-Yombi

Learning from End User Data with Shuffled Differential Privacy over Kernel Densities

Tal Wagner

Speech Robust Bench: A Robustness Benchmark For Speech Recognition

Muhammad A Shah, David Solans Noguero, Mikko A. Heikkilä, Bhiksha Raj, Nicolas Kourtellis

Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning

Yixian Zhang, Huaze Tang, Huijing Lin, Wenbo Ding

ODE-based Smoothing Neural Network for Reinforcement Learning Tasks

Yinuo Wang, Wenxuan Wang, Xujie Song, Tong Liu, Yuming Yin

Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting

Chong Cheng, Gaochao Song, Yiyang Yao, Qinzheng Zhou, Gangjian Zhang

Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate

Byung Hyun Lee, Sungjin Lim, Seunggyu Lee, Dong Un Kang, Se Young Chun

CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs

Jinlan Fu, huangfushenzhen, Hao Fei, Xiaoyu Shen, Bryan Hooi

DSPO: Direct Score Preference Optimization for Diffusion Model Alignment

Huaisheng Zhu, Teng Xiao, Vasant G Honavar

Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment

Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu

Weak to Strong Generalization for Large Language Models with Multi-capabilities

Yucheng Zhou, Jianbing Shen, Yu Cheng

Efficient and Accurate Explanation Estimation with Distribution Compression

Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek

Class Distribution-induced Attention Map for Open-vocabulary Semantic Segmentations

Dong Un Kang, Hayeon Kim, Se Young Chun

TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning

Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain HÉRAULT

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding

Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin Yakovlev

Training-Free Message Passing for Learning on Hypergraphs

Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging

Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, Francois Fleuret

Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models

Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Blanka Horvath

TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation

Gihyun Kwon, Jong Chul Ye

RESfM: Robust Deep Equivariant Structure from Motion

Fadi Khatib, Yoni Kasten, Dror Moran, Meirav Galun, Ronen Basri

A Differentiable Rank-Based Objective for Better Feature Learning

Krunoslav Lehman Pavasovic, Giulio Biroli, Levent Sagun

Controlling Language and Diffusion Models by Transporting Activations

Pau Rodriguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff

Language Guided Skill Discovery

Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng

Neural Functions for Learning Periodic Signal

Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park

Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance

Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann, Simon Geisler