AI RESEARCH
Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
arXiv CS.AI
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ArXi:2605.29790v1 Announce Type: cross LLM-based multi-agent systems (MAS) have emerged as an effective paradigm for complex and long-horizon tasks. However, in real-world tasks, MAS often exhibit various failures during execution and such failures are difficult to eliminate during design. This motivates experience-driven MAS evolution, where a system improves based on its own execution experience.