EvoTeam evolves multi-agent team organization and skills from execution experience
JLU-Deep · hf · 2026-11-04
Researchers from Jilin University, NJUST and Shanghai AI Lab propose EvoTeam, which evolves LLM multi-agent collaboration by jointly adapting team organization, interaction rules and agent skills from execution experience, while maintaining reusable team libraries—extending experience-driven evolution beyond single-agent prompt/skill tuning to the team level.
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