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arXiv 2610.27227 · cs.CL · 2026-10-19

Which Agent's Skill Should Change? Group-Relative Credit Assignment for Evolving Multi-Agent Teams

Yanan Ma, Yang Wang, David Le, Chenhan Yuan, Yizheng Sun, Guangwei Zhang, Chenghao Xiao, Chenghua Lin and 1 more

Mayo Clinic

In latest · #358 Added on 2026-10-25

One-line takeaway

Mayo Clinic's GRSE borrows from GRPO, rerunning each question under the same skill libraries and contrasting runs to credit specific agent-skill pairs, beating MASkills with up to +6.7 F1 on multi-hop HotpotQA.

梅奥诊所的 GRSE 借鉴 GRPO,在相同技能库下多次执行同一题并对比结果,把团队奖励归到具体 agent 和技能上,改进多 agent 的技能进化,在 HotpotQA 多跳题上提升 6.7 F1。

22HF upvotes
3GitHub stars
0Citations (Semantic Scholar)
36.5Buzz score

Read on arXiv PDF Hugging Face discussion Code

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

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)