ICLR 2025

3,703 papers

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification

Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Xiao Luo

Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models

Theo Bourdais, Houman Owhadi

Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings

Di Wu, Siyuan Li, Chen Feng, Lu Cao, Yue Zhang

Backdooring Vision-Language Models with Out-Of-Distribution Data

Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun

ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids

Hannes Stärk, Bowen Jing, Tomas Geffner, Jason Yim, Tommi Jaakkola

Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks

Xianyang Zhang, Huijuan Zhou

MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Xierui Wang, Siming FU, Qihan Huang, Wanggui He, Hao Jiang

UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning

Shicheng Liu, Minghui Zhu

Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery

Xiao Han, Saima Absar, Lu Zhang, Shuhan Yuan

OmniRe: Omni Urban Scene Reconstruction

Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo

DeLLMa: Decision Making Under Uncertainty with Large Language Models

Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger

Learning Dynamics of LLM Finetuning

Yi Ren, Danica J. Sutherland

Implicit In-context Learning

Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen

Jiaxi Yang, Wenlong Deng, Benlin Liu, Yangsibo Huang, James Zou

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction

Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li

The Hidden Cost of Waiting for Accurate Predictions

Ali Shirali, Ariel D. Procaccia, Rediet Abebe

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li

Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents

Hao Bai, Yifei Zhou, Li Erran Li, Sergey Levine, Aviral Kumar

MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures

Anvith Thudi, Chris J. Maddison

SplatFormer: Point Transformer for Robust 3D Gaussian Splatting

Yutong Chen, Marko Mihajlovic, Xiyi Chen, Yiming Wang, Sergey Prokudin

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales

Zhepei Wei, Wei-Lin Chen, Yu Meng

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution

Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang

F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI

Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models

Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang

Adversarial Attacks on Data Attribution

Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi W. Ma

Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo

Towards Interpreting Visual Information Processing in Vision-Language Models

Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger

Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers

Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness Shroff

Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods

Lise Le Boudec, Emmanuel de Bézenac, Louis Serrano, Ramon Daniel Regueiro-Espino, Yuan Yin

Convergence of Distributed Adaptive Optimization with Local Updates

Ziheng Cheng, Margalit Glasgow

Adaptive Pruning of Pretrained Transformer via Differential Inclusions

Yizhuo Ding, Ke Fan, Yikai Wang, Xinwei Sun, Yanwei Fu

CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference

Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi

Faster Cascades via Speculative Decoding

Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta

Dense Video Object Captioning from Disjoint Supervision

Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid

GSE: Group-wise Sparse and Explainable Adversarial Attacks

Shpresim Sadiku, Moritz Wagner, Sebastian Pokutta

Tracking objects that change in appearance with phase synchrony

Sabine Muzellec, Drew Linsley, Alekh Karkada Ashok, Ennio Mingolla, Girik Malik

Algorithmic Stability Based Generalization Bounds for Adversarial Training

Runzhi Tian, Yongyi Mao

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

Zilong Wang, Zifeng Wang, Long Le, Steven Zheng, Swaroop Mishra

Selective Task Group Updates for Multi-Task Optimization

WooSeong Jeong, Kuk-Jin Yoon

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems

Yunyang Li, zaishuo xia, Lin Huang, Xinran Wei, Samuel Harshe

Unlocking Global Optimality in Bilevel Optimization: A Pilot Study

Quan Xiao, Tianyi Chen

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou

Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference

Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong

Sparse Learning for State Space Models on Mobile

Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang

Edge Prompt Tuning for Graph Neural Networks

Xingbo Fu, Yinhan He, Jundong Li

Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning

Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie

Can a Large Language Model be a Gaslighter?

Wei Li, Luyao Zhu, Yang Song, Ruixi Lin, Rui Mao

Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training

Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan O Arik

On the Identification of Temporal Causal Representation with Instantaneous Dependence

Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song

Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics

Omar Chehab, Anna Korba, Austin J Stromme, Adrien Vacher

Safety Alignment Should be Made More Than Just a Few Tokens Deep

Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy

Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models

Wenxuan Zhang, Philip Torr, Mohamed Elhoseiny, Adel Bibi

RESuM: A Rare Event Surrogate Model for Physics Detector Design

Ann-Kathrin Schuetz, A.W.P. Poon, Aobo Li

Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables

Joshua Huang Wu, Hari Koneru, James Russell Ravenel, Anshuman Sabath, James Michael Roach

Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency

Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song

Do LLMs ``know'' internally when they follow instructions?

Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley You Ren

A Simple Approach to Unifying Diffusion-based Conditional Generation

Xirui Li, Charles Herrmann, Kelvin C.K. Chan, Yinxiao Li, Deqing Sun

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models

Jerry Yao-Chieh Hu, Maojiang Su, En-jui kuo, Zhao Song, Han Liu

R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection

Zhiqiang Wu, Yingjie Liu, Hanlin Dong, XUAN TANG, Jian Yang

Inverse Attention Agents for Multi-Agent Systems

Qian Long, Ruoyan Li, Minglu Zhao, Tao Gao, Demetri Terzopoulos

ELFS: Label-Free Coreset Selection with Proxy Training Dynamics

Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian R. Bartoldson

Grounding Video Models to Actions through Goal Conditioned Exploration

Yunhao Luo, Yilun Du

CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators

Harry Zhang, Luca Carlone

Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos

Dayal Singh Kalra, Tianyu He, Maissam Barkeshli

Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior

Anming Gu, Edward Chien, Kristjan Greenewald

MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs

Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski

Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs

Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Utkarsh Tyagi, Oriol Nieto

Towards Realistic Data Generation for Real-World Super-Resolution

Long Peng, Wenbo Li, Renjing Pei, Jingjing Ren, Jiaqi Xu

Exposure Bracketing Is All You Need For A High-Quality Image

Zhilu Zhang, Shuohao Zhang, Renlong Wu, Zifei Yan, Wangmeng Zuo

Efficient Cross-Episode Meta-RL

Gresa Shala, André Biedenkapp, Pierre Krack, Florian Walter, Josif Grabocka

Mitigating Spurious Correlations in Zero-Shot Multimodal Models

Shenyu Lu, Junyi Chai, Xiaoqian Wang

Random-Set Neural Networks

Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin

How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations

Siddhartha Gairola, Moritz Böhle, Francesco Locatello, Bernt Schiele

Presto! Distilling Steps and Layers for Accelerating Music Generation

Zachary Novack, Ge Zhu, Jonah Casebeer, Julian McAuley, Taylor Berg-Kirkpatrick

Hierarchical World Models as Visual Whole-Body Humanoid Controllers

Nicklas Hansen, Jyothir S V, Vlad Sobal, Yann LeCun, Xiaolong Wang

Memory Mosaics

Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon Bottou

Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice

Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths

Certified Robustness Under Bounded Levenshtein Distance

Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher

Gradient descent with generalized Newton’s method

Zhiqi Bu, Shiyun Xu

Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation

Mohamed El Amine Boudjoghra, Angela Dai, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer

Learning Molecular Representation in a Cell

Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E Carpenter

DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle

Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen, Hoang Pham, Khoat Than

AdaFisher: Adaptive Second Order Optimization via Fisher Information

Damien MARTINS GOMES, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini

DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models

Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu

Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories

Vasiliki Tassopoulou, Haochang Shou, Christos Davatzikos

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation

Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection

Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal

Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts

Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le

Aligned LLMs Are Not Aligned Browser Agents

Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Elaine T Chang

SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation

Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal

Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing

Keltin Grimes, Marco Christiani, David Shriver, Marissa Catherine Connor

TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Jeremy Andrew Irvin, Emily Ruoyu Liu, Joyce C. Chen, Ines Dormoy, JinYoung Kim

GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering

HONGZE CHEN, Zehong Lin, Jun Zhang

CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion

Shoubin Yu, Jaehong Yoon, Mohit Bansal

Matryoshka Multimodal Models

Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee

Three Mechanisms of Feature Learning in a Linear Network

Yizhou Xu, Liu Ziyin

Structure Language Models for Protein Conformation Generation

Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control

Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian

Satisficing Regret Minimization in Bandits

Qing Feng, Tianyi Ma, Ruihao Zhu

Metamizer: A Versatile Neural Optimizer for Fast and Accurate Physics Simulations

Nils Wandel, Stefan Schulz, Reinhard Klein