ICLR 2025

3,703 papers

SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning

Yichen WU, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li

Equivariant Masked Position Prediction for Efficient Molecular Representation

Junyi An, Chao Qu, Yun-Fei Shi, Xinhao Liu, Qianwei Tang

GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians

Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu

Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond

Giuseppe Serra, Florian Buettner

Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering

Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach

FIRING-Net: A filtered feature recycling network for speech enhancement

Xinmeng Xu, Yiqun Zhang, Jizhen Li, Yuhong Yang, Yong Luo

SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process

Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin

Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency

Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao

LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content

Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei LIN, Muhammad Jehanzeb Mirza

PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction

Shangyu Chen, Zizheng Pan, Jianfei Cai, Dinh Phung

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging

Muxi Chen, Chenchen Zhao, Qiang Xu

Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization

Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang

VTDexManip: A Dataset and Benchmark for Visual-tactile Pretraining and Dexterous Manipulation with Reinforcement Learning

Qingtao Liu, Yu Cui, Zhengnan Sun, Gaofeng Li, Jiming Chen

Continuous Ensemble Weather Forecasting with Diffusion models

Martin Andrae, Tomas Landelius, Joel Oskarsson, Fredrik Lindsten

GraphArena: Evaluating and Exploring Large Language Models on Graph Computation

Jianheng Tang, Qifan Zhang, Yuhan Li, Nuo Chen, Jia Li

Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning

Mianchu Wang, Yue Jin, Giovanni Montana

Adversarial Mixup Unlearning

Zhuoyi PENG, Yixuan Tang, Yi Yang

Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples

Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar

Learning Equivariant Non-Local Electron Density Functionals

Nicholas Gao, Eike Eberhard, Stephan Günnemann

On the Benefits of Memory for Modeling Time-Dependent PDEs

Ricardo Buitrago, Tanya Marwah, Albert Gu, Andrej Risteski

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph H. Lampert

MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation

Zhongshen Zeng, Pengguang Chen, Shu Liu, Haiyun Jiang, Jiaya Jia

Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition

Yufan Hu, Yujiang, Wuyang Li, Yixuan Yuan

How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings

Nikolaos Nakis, Niels Raunkjær Holm, Andreas Lyhne Fiehn, Morten Mørup

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning

Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan

Can Textual Gradient Work in Federated Learning?

Minghui Chen, ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving

Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang

Robust Function-Calling for On-Device Language Model via Function Masking

Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao

SAVA: Scalable Learning-Agnostic Data Valuation

Samuel Kessler, Tam Le, Vu Nguyen

φ-Update: A Class of Policy Update Methods with Policy Convergence Guarantee

Wenye Li, Jiacai Liu, Ke Wei

INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning

Yuqian Fu, Yuanheng Zhu, Jian Zhao, Jiajun Chai, Dongbin Zhao

Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction

Huawen Feng, ZekunYao, Junhao Zheng, Qianli Ma

$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos

Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin

Model-agnostic meta-learners for estimating heterogeneous treatment effects over time

Dennis Frauen, Konstantin Hess, Stefan Feuerriegel

Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax

Ivan Butakov, Alexander Semenenko, Alexander Tolmachev, Andrey Gladkov, Marina Munkhoeva

TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark

Kush Jain, Gabriel Synnaeve, Baptiste Roziere

UV-Attack: Physical-World Adversarial Attacks on Person Detection via Dynamic-NeRF-based UV Mapping

Yanjie Li, Kaisheng Liang, Bin Xiao

Stochastic Bandits Robust to Adversarial Attacks

Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C.S. Lui

ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler

Serin Yang, Taesung Kwon, Jong Chul Ye

HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan, Zhangyang Wang, Shant Navasardyan

ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials

Pin Chen, Zexin Xu, Qing Mo, Hongjin Zhong, Fengyang Xu

Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences

Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz

Biologically Plausible Brain Graph Transformer

Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia

Variational Bayesian Pseudo-Coreset

Hyungi Lee, Seungyoo Lee, Juho Lee

Dimension Agnostic Neural Processes

Hyungi Lee, Chaeyun Jang, Dong Bok Lee, Juho Lee

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning

Ruikun Li, Huandong Wang, Qingmin Liao, Yong Li

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval

Leqi Shen, Tianxiang Hao, Tao He, Sicheng Zhao, Yifeng Zhang

DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model

Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu

SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION

Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen

Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun

To Code or Not To Code? Exploring Impact of Code in Pre-training

Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation

Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu

The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model

Jiawei Chen, Wentao Chen, Jing Su, Jingjing Xu, Hongyu Lin

Robust LLM safeguarding via refusal feature adversarial training

Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda

Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Chaochen Gao, Xing W, Qi Fu, Songlin Hu

Divergence of Neural Tangent Kernel in Classification Problems

Zixiong Yu, Songtao Tian, Guhan Chen

Learning Successor Features with Distributed Hebbian Temporal Memory

Evgenii Aleksandrovich Dzhivelikian, Petr Kuderov, Aleksandr Panov

Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency

Kai Gan, Bo Ye, Min-ling Zhang, Tong Wei

Capability Localization: Capabilities Can be Localized rather than Individual Knowledge

Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu

EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning

Wei Yu, Songheng Yin, Steve Easterbrook, Animesh Garg

On the Benefits of Attribute-Driven Graph Domain Adaptation

Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz

CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression

Yu-Ting Zhan, Cheng-Yuan Ho, Hebi Yang, Yi-Hsin Chen, Jui Chiu Chiang

metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models

Alex Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz

Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games

Boning Li, Longbo Huang

CAMEx: Curvature-aware Merging of Experts

Viet Dung Nguyen, Minh Nguyen Hoang, Luc Nguyen, Rachel Teo, Tan Minh Nguyen

Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning

Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You

Fast and Accurate Blind Flexible Docking

Zizhuo Zhang, Lijun Wu, Kaiyuan Gao, Jiangchao Yao, Tao Qin

Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse

Arthur Jacot, Peter Súkeník, Zihan Wang, Marco Mondelli

An Online Learning Theory of Trading-Volume Maximization

Tommaso Cesari, Roberto Colomboni

Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models

Seyedmorteza Sadat, Otmar Hilliges, Romann M. Weber

EvA: Erasing Spurious Correlations with Activations

Qiyuan He, Kai Xu, Angela Yao

ReSi: A Comprehensive Benchmark for Representational Similarity Measures

Max Klabunde, Tassilo Wald, Tobias Schumacher, Klaus Maier-Hein, Markus Strohmaier

Learning Long Range Dependencies on Graphs via Random Walks

Dexiong Chen, Till Hendrik Schulz, Karsten Borgwardt

ViSAGe: Video-to-Spatial Audio Generation

Jaeyeon Kim, Heeseung Yun, Gunhee Kim

Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation

Tianyi Bao, Xinyu Ye, Hang Ruan, Chang Liu, Wenjie Wu

Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist

Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang

Advancing Prompt-Based Methods for Replay-Independent General Continual Learning

Zhiqi Kang, Liyuan Wang, Xingxing Zhang, Karteek Alahari

QERA: an Analytical Framework for Quantization Error Reconstruction

Cheng Zhang, Jeffrey T. H. Wong, Can Xiao, George Anthony Constantinides, Yiren Zhao

Open-Set Graph Anomaly Detection via Normal Structure Regularisation

qizhou wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie

An Intelligent Agentic System for Complex Image Restoration Problems

Kaiwen Zhu, Jinjin Gu, Zhiyuan You, Yu Qiao, Chao Dong

Re-evaluating Open-ended Evaluation of Large Language Models

Siqi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess

Operator Deep Smoothing for Implied Volatility

Ruben Wiedemann, Antoine Jacquier, Lukas Gonon

Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy

Mingyang Zhao, GAOFENG MENG, Dong-Ming Yan

TODO: Enhancing LLM Alignment with Ternary Preferences

Yuxiang Guo, Lu Yin, Bo Jiang, Jiaqi Zhang

Understanding Virtual Nodes: Oversquashing and Node Heterogeneity

Joshua Southern, Francesco Di Giovanni, Michael M. Bronstein, Johannes F. Lutzeyer

Periodic Materials Generation using Text-Guided Joint Diffusion Model

Kishalay Das, Subhojyoti Khastagir, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee

Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference

Anton Xue, Avishree Khare, Rajeev Alur, Surbhi Goel, Eric Wong

Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space

Zhiliang Chen, Xinyuan Niu, Chuan-Sheng Foo, Bryan Kian Hsiang Low

PnP-Flow: Plug-and-Play Image Restoration with Flow Matching

Ségolène Tiffany Martin, Anne Gagneux, Paul Hagemann, Gabriele Steidl

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation

Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li

Zero-cost Proxy for Adversarial Robustness Evaluation

Yuqi Feng, Yuwei Ou, Jiahao Fan, Yanan Sun

MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds

Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian J Theis, Stephan Günnemann

SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters

Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang

Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization

Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal

Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag

RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction

Peng Liu, Dongyang Dai, Zhiyong Wu

Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation

Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne, Juergen Gall

Emergence of meta-stable clustering in mean-field transformer models

Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi

An Information Criterion for Controlled Disentanglement of Multimodal Data

Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace

Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen