arXiv 2609.38445 · cs.AI · 2026-09-29
AIM: Agentic Idea Management for Automated Research
Hyeong Kyu Choi, Bhavana Dalvi Mishra, Jiefeng Chen, Mihir Parmar, Rui Meng, Chun-Liang Li, Xiangru Tang, Sharon Li 等 10 人
在最新榜 #243 本站收录于 2026-10-21
一句话要点
谷歌 AIM 借鉴贝叶斯优化，自动管理、筛选和推进自动化科研中的研究想法。
Google's AIM manages, selects and explores research ideas for automated research, inspired by Bayesian optimisation.
阅读 arXiv 原文 PDF Hugging Face 讨论 项目页
主题与学科
同主题：智能体
- Raven: The Harness of Harnesses for Composable Agentic Intelligence ▲748
- False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents ▲642
- BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business ▲490
- Omni-IO Skills: Harnessing Your Agent Omni-Native ▲485
- Player-1: Learning to Play from Synthetic Experience ▲348
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
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