Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems.
arXiv:2605.05703v3 Announce Type: replace-cross Abstract: Optimizing the communication structure of large language model based multi-agent systems (LLM-MAS) has been shown to improve downstream performance and reduce token usage. Existing methods typically rel
arXiv cs.AIResearch source·