AI RESEARCH
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
arXiv CS.LG
•
ArXi:2605.05703v1 Announce Type: cross 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 rely on randomly sampled