ICLR

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval

Shangzhe Di, Zhelun Yu, Guanghao Zhang, Haoyuan Li, Tao Zhong, Hao Cheng, Bolin Li, Wanggui He, Fangxun Shu, Hao Jiang

Comments Accepted to ICLR 2025. Code: https://github.com/Becomebright/ReKV

What Makes a Good Diffusion Planner for Decision Making?

Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li

Comments ICLR 2025 (Spotlight), Code: https://github.com/Josh00-Lu/DiffusionVeteran

Periodic Materials Generation using Text-Guided Joint Diffusion Model

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

Comments ICLR 2025

Homomorphism Expressivity of Spectral Invariant Graph Neural Networks

Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang

Comments 42 pages

Journal ref ICLR 2025 Oral

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning

Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao

Comments ICLR 2025

MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge

Yuntao Du, Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng, Siyuan Qi, Qing Li

Comments Accept to ICLR2025. Project Page: https://mmke-bench-iclr.github.io/

GraphBridge: Towards Arbitrary Transfer Learning in GNNs

Li Ju, Xingyi Yang, Qi Li, Xinchao Wang

Comments 10 pages, 3 figures, 6 tables, to be published in ICLR 2025

LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization

Guanzheng Chen, Xin Li, Michael Qizhe Shieh, Lidong Bing

Comments ICLR 2025

Learning to engineer protein flexibility

Petr Kouba, Joan Planas-Iglesias, Jiri Damborsky, Jiri Sedlar, Stanislav Mazurenko, Josef Sivic

Comments International Conference on Learning Representations (ICLR 2025)

The Superposition of Diffusion Models Using the Itô Density Estimator

Marta Skreta, Lazar Atanackovic, Avishek Joey Bose, Alexander Tong, Kirill Neklyudov

Comments Accepted as a Spotlight Presentation at the International Conference on Learning Representations 2025

LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation

Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas Sridharan, Ying Zhang, Tushar Krishna, Pan Li

Comments Accepted by ICLR 2025 (Spotlight); Code available at https://github.com/Graph-COM/LayerDAG

VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning

Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, João F. Henriques, Kevin Ellis

Comments ICLR 2025 (Spotlight)

Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

Mufei Li, Siqi Miao, Pan Li

Comments Accepted by ICLR 2025; Code available at https://github.com/Graph-COM/SubgraphRAG

Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Cheng Lu, Yang Song

Comments ICLR 2025 Oral

Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks

Binghui Li, Zhixuan Pan, Kaifeng Lyu, Jian Li

Comments Published as a conference paper at ICLR 2025; 72 pages

Compositional Entailment Learning for Hyperbolic Vision-Language Models

Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Fabio Galasso, Pascal Mettes

Comments Accepted as oral paper at ICLR 2025

ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler

Serin Yang, Taesung Kwon, Jong Chul Ye

Comments ICLR 2025; Project page: https://vibidsampler.github.io/

A Probabilistic Perspective on Unlearning and Alignment for Large Language Models

Yan Scholten, Stephan Günnemann, Leo Schwinn

Comments Accepted at ICLR 2025 (Oral)

Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers

Shijie Chen, Bernal Jiménez Gutiérrez, Yu Su

Comments ICLR 2025

MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences

Genta Indra Winata, David Anugraha, Lucky Susanto, Garry Kuwanto, Derry Tanti Wijaya

Comments Accepted to ICLR 2025

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo

Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang

Comments ICLR 2025

FlashMask: Efficient and Rich Mask Extension of FlashAttention

Guoxia Wang, Jinle Zeng, Xiyuan Xiao, Siming Wu, Jiabin Yang, Lujing Zheng, Zeyu Chen, Jiang Bian, Dianhai Yu, Haifeng Wang

Comments Published as a conference paper at ICLR 2025

Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving

Peidong Li, Dixiao Cui

Comments Accepted by ICLR 2025

LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Qingkai Fang, Shoutao Guo, Yan Zhou, Zhengrui Ma, Shaolei Zhang, Yang Feng

Comments ICLR 2025

Procedural Synthesis of Synthesizable Molecules

Michael Sun, Alston Lo, Minghao Guo, Jie Chen, Connor Coley, Wojciech Matusik

Comments ICLR 2025

A Computational Framework for Modeling Emergence of Color Vision in the Human Brain

Atsunobu Kotani, Ren Ng

Comments ICLR 2025 Oral, 33 pages, 14 figures, Webpage: https://matisse.eecs.berkeley.edu/

GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting

Changkun Liu, Shuai Chen, Yash Bhalgat, Siyan Hu, Ming Cheng, Zirui Wang, Victor Adrian Prisacariu, Tristan Braud

Comments Accepted to International Conference on Learning Representations (ICLR) 2025. During the ICLR review process, we changed the name of our framework from GSLoc to GS-CPR (Camera Pose Refinement), according to reviewers' comments. The project page is available at https://xrim-lab.github.io/GS-CPR/

See It from My Perspective: How Language Affects Cultural Bias in Image Understanding

Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal, Kathleen McKeown

Comments Accepted at ICLR 2025. 22 pages, 6 figures. Code/models: https://github.com/amith-ananthram/see-it-from-my-perspective

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

Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu

Comments The Thirteenth International Conference on Learning Representations (ICLR'25)

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning

Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Vladislav Kurenkov

Comments ICLR 2025, Poster, Source code: https://github.com/dunnolab/xland-minigrid-datasets