ICLR

Learning Evolving Tools for Large Language Models

Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang

Comments Camera ready version for ICLR 2025

On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning

Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu

Comments Accepted by ICLR 2025. 25 pages, 4 figures and 12 tables

MetaOOD: Automatic Selection of OOD Detection Models

Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao

Comments Best paper at 2024 KDD Workshop on Resource-Efficient Learning. Extended version at ICLR 2025

PFGuard: A Generative Framework with Privacy and Fairness Safeguards

Soyeon Kim, Yuji Roh, Geon Heo, Steven Euijong Whang

Comments In Proceedings of the 13th International Conference on Learning Representations (ICLR), 2025

Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion

Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz

Comments Accepted at the Thirteenth International Conference on Learning Representations (ICLR 2025)

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation

Jun Hyeong Kim, Seonghwan Kim, Seokhyun Moon, Hyeongwoo Kim, Jeheon Woo, Woo Youn Kim

Comments Accepted to ICLR 2025

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

Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen

Comments ICLR 2025

Systematic Relational Reasoning With Epistemic Graph Neural Networks

Irtaza Khalid, Steven Schockaert

Comments 10+29 pages, 5+13 figures, 4+10 tables. Comments welcome!

Journal ref ICLR 2025 main

AutoBencher: Towards Declarative Benchmark Construction

Xiang Lisa Li, Farzaan Kaiyom, Evan Zheran Liu, Yifan Mai, Percy Liang, Tatsunori Hashimoto

Comments Accepted for publication at ICLR 2025

Deconstructing What Makes a Good Optimizer for Language Models

Rosie Zhao, Depen Morwani, David Brandfonbrener, Nikhil Vyas, Sham Kakade

Comments 21 pages, ICLR 2025

ColPali: Efficient Document Retrieval with Vision Language Models

Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud, Céline Hudelot, Pierre Colombo

Comments Published as a conference paper at ICLR 2025

Preference Elicitation for Offline Reinforcement Learning

Alizée Pace, Bernhard Schölkopf, Gunnar Rätsch, Giorgia Ramponi

Comments ICLR 2025

Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization

Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu, Zhi Gong, Yankai Lin, Ji-Rong Wen

Comments Accepted at ICLR 2025, camera-ready version

Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models

Francisco Eiras, Aleksandar Petrov, Philip H. S. Torr, M. Pawan Kumar, Adel Bibi

Comments Accepted to ICLR'25

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation

Cheng Yang, Chufan Shi, Yaxin Liu, Bo Shui, Junjie Wang, Mohan Jing, Linran Xu, Xinyu Zhu, Siheng Li, Yuxiang Zhang, Gongye Liu, Xiaomei Nie, Deng Cai, Yujiu Yang

Comments Accepted to ICLR 2025. Data and code are available at https://github.com/ChartMimic/ChartMimic

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery

Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma GongQue, Jianing Yu, Qiuna Tan, Weiran Xu

Comments Accepted at ICLR 2025

Enhancing End-to-End Autonomous Driving with Latent World Model

Yingyan Li, Lue Fan, Jiawei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang, Tieniu Tan

Comments ICLR 2025

Self-Attention-Based Contextual Modulation Improves Neural System Identification

Isaac Lin, Tianye Wang, Shang Gao, Shiming Tang, Tai Sing Lee

Comments ICLR 2025

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen

Comments Accepted by ICLR 2025. Camera-ready Version

The 3D-PC: a benchmark for visual perspective taking in humans and machines

Drew Linsley, Peisen Zhou, Alekh Karkada Ashok, Akash Nagaraj, Gaurav Gaonkar, Francis E Lewis, Zygmunt Pizlo, Thomas Serre

Comments Published in ICLR 2025

A Theory for Token-Level Harmonization in Retrieval-Augmented Generation

Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

Comments ICLR 2025

Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment

Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arık, Tomas Pfister

Comments Published in ICLR 2025

Learning diverse attacks on large language models for robust red-teaming and safety tuning

Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain

Comments ICLR 2025

Small Models are LLM Knowledge Triggers on Medical Tabular Prediction

Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu

Comments Accepted to ICLR 2025. Codes will be available at https://github.com/jyansir/sersal

RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything

Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang, Yibo Yang, Yining Li, Kai Chen, Yunhai Tong, Bernard Ghanem, Xiangtai Li, Ming-Hsuan Yang

Comments ICLR-2025 (oral). Project Page: https://xushilin1.github.io/rap_sam/

MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy

Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf

Comments Accepted by ICLR 2025

Generalization in diffusion models arises from geometry-adaptive harmonic representations

Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat

Comments Accepted for oral presentation at ICLR, Vienna, May 2024

Journal ref Int'l Conf on Learning Representations (ICLR), vol.12, Vienna, May 2024. Outstanding Paper award

Revisiting a Design Choice in Gradient Temporal Difference Learning

Xiaochi Qian, Shangtong Zhang

Comments ICLR 2025

Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability

Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu

Comments Published in ICLR 2025

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

Eliot Xing, Vernon Luk, Jean Oh

Comments 34 pages, 13 figures, 18 tables. Accepted to ICLR 2025 (Spotlight)