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Skill-MAS: Evolving Meta-Skill for Automatic Multi-Agent Systems

Skill-MAS is proposed, a novel third path that decouples experience retention from parametric updates by conceptualizing the high-level orchestration capability as an evolvable Meta-Skill and is revealed to be highly robust and exhibit strong transferability across unseen tasks and different LLMs.

He-Hai Lin, Qi Yang, Cheng-Wei Qin · 3 citations

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