AI RESEARCH
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
arXiv CS.CL
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ArXi:2605.06623v1 Announce Type: cross Large language model (LLM)-based Multi-agent systems (MAS) have shown promise in tackling complex collaborative tasks, where agents are typically orchestrated via role-specific prompts. While the quality of these prompts is pivotal, jointly optimizing them across interacting agents remains a non-trivial challenge, primarily due to the misalignment between local agent objectives and holistic system goals. To address this, we