OpenFrontiers: A Collection of Open Research Problems and a Benchmark for Scientific Rediscovery
arXiv:2610.37739v1 Announce Type: new Abstract: Large language models (LLMs) have shown increasing promise in research-level problem solving, yet a comprehensive collection of such problems is still missing, and evaluating them on research-level problems remains challenging. We introduce OpenFrontiers, a cross-disciplinary resource that combines a structured corpus of open research problems with a retrospective benchmark of recently resolved problems in mathematics. The corpus records problem statements, context, progress, and other information for 12,151 problems. The benchmark contains 200 p
阅读原文 · arXiv 人工智能本文由 SoccerDream AI 自动聚合索引,内容版权归原作者与 arXiv 人工智能 所有。
本站仅作技术动态聚合,不构成任何形式的建议。
本站仅作技术动态聚合,不构成任何形式的建议。