Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems 事件

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems arXiv:2605.29790v1 Announce Type: cross Abstract: 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. Yet s