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CEPO framework enhances multi-agent prompt optimization

Researchers have introduced Coordinator-Executor Prompt Optimization (CEPO), a novel framework designed to enhance prompt optimization within multi-agent systems. CEPO distinguishes between shared coordination and agent-specific execution by utilizing separate coordinator and executor prompts. This architectural separation allows for consistent refinement of coordination rules across all agents while enabling independent adjustment of execution instructions. Experiments across 11 benchmarks in four domains show that CEPO consistently improves the performance of existing prompt optimizers and scales efficiently with an increasing number of agents. AI

IMPACT This framework could lead to more efficient and scalable multi-agent systems by improving how prompts are optimized.

RANK_REASON The cluster contains a research paper detailing a new framework for prompt optimization in multi-agent systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

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CEPO framework enhances multi-agent prompt optimization

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The cluster contains a research paper detailing a new framework for prompt optimization in multi-agent systems. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    CEPO: A General Framework for Improving Prompt Optimization in Multi-Agent Systems

    CEPO improves multi-agent prompt optimization by separating shared coordination from agent-specific execution, boosting performance across benchmarks and scaling efficiently with more agents.