ICLR

A Set-Sequence Model for Time Series

Elliot L. Epstein, Apaar Sadhwani, Kay Giesecke

机构 * Stanford University（斯坦福大学） 纠错

Comments Presented at the Workshop on Financial AI at ICLR 2025

Protein as a Second Language for LLMs

Xinhui Chen, Zuchao Li, Mengqi Gao, Yufeng Zhang, Chak Tou Leong, Haoyang Li, Jiaqi Chen

机构 * Wuhan University（武汉大学） ； Hong Kong Polytechnic University（香港理工大学） ； Stanford University（斯坦福大学） ； Topify AI 纠错

Comments Main paper: 9 pages, 6 figures. With references and appendix: 18 pages, 9 figures total. Submitted to ICLR 2026 (under review)

Judge's Verdict: A Comprehensive Analysis of LLM Judge Capability Through Human Agreement

Steve Han, Gilberto Titericz Junior, Tom Balough, Wenfei Zhou

机构 * NVIDIA Corporation（NVIDIA公司） 纠错

Comments 10 pages, 1 figure, 4 tables, under review as a conference paper at ICLR 2026

Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?

Yutong Yin, Zhaoran Wang

Comments Accepted by ICLR 2025

Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning

Chongyi Zheng, Jens Tuyls, Joanne Peng, Benjamin Eysenbach

机构 * Princeton University（普林斯顿大学） 纠错

Comments ICLR 2025 (Oral < 1.8%). Code and videos are available on the website: https://princeton-rl.github.io/contrastive-successor-features/

Human-inspired Episodic Memory for Infinite Context LLMs

Zafeirios Fountas, Martin A Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室） ； University College London（伦敦大学学院） 纠错

Journal ref Proc. International Conference on Learning Representations (ICLR), 2025