Multi-agent systems use several specialized language-model agents to solve a task together.
Separating coordination from execution improves prompt optimization in multi-agent AI systems
Kim and colleagues report consistent gains when adding shared coordination instructions and role-specific update guidance to four existing prompt optimizers.
Big Tech
Jongha Kim · Seohyun Lee · Jonathan Minho Chung · Jinsung Yoon · Hyunwoo J. Kim
Korea University · KAIST · Google Cloud AI Research
Research Digest··2 min read
Kim and colleagues introduce Coordinator-Executor Prompt Optimization (CEPO), a framework that separates instructions for teamwork from instructions for each AI agent’s assigned task.
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