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English(EN) CEPO: A General Framework for Improving Prompt Optimization in Multi-Agent Systems

CEPO框架增强多智能体提示优化

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了一种名为协调器-执行器提示优化（CEPO）的新型框架，旨在增强多智能体系统中的提示优化。CEPO通过使用独立的协调器和执行器提示，区分了共享协调和特定于智能体的执行。这种架构分离允许跨所有智能体一致地改进协调规则，同时能够独立调整执行指令。在四个领域11个基准测试上的实验表明，CEPO能够持续改进现有提示优化器的性能，并能随着智能体数量的增加而高效扩展。 AI

影响 该框架通过改进提示优化方式，有望实现更高效、可扩展的多智能体系统。

排序理由 该集群包含一篇研究论文，详细介绍了多智能体系统中提示优化新框架。 [lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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CEPO框架增强多智能体提示优化

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该集群包含一篇研究论文，详细介绍了多智能体系统中提示优化新框架。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [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.

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