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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 and 2 more

Google

In latest · #243 Added on 2026-10-21

One-line takeaway

Google's AIM manages, selects and explores research ideas for automated research, inspired by Bayesian optimisation.

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。

53HF upvotes
–GitHub stars
2Citations (Semantic Scholar)
50.4Buzz score

Read on arXiv PDF Hugging Face discussion Project page

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)