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English(EN) AutoMARS: Automatic and Scalable Multi-Agent Large Language Model Framework for Supply Chain Risk Assessment

AutoMARS框架通过多智能体系统实现供应链风险评估自动化

研究人员推出AutoMARS,一个用于自动化和可扩展供应链风险评估的新框架。该系统采用多智能体方法,其中专业智能体协调规划任务、使用外部分析工具,并将发现综合成全面的风险评估。AutoMARS旨在处理社会经济、灾害、环境和交通领域的各种风险因素,从而实现系统化和可解释的比较分析,以提高特定地点的风险意识。 AI

影响 该框架可以通过自动化复杂评估和整合不同数据源来简化供应链风险分析。

排序理由 该条目描述了一篇介绍新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AutoMARS框架通过多智能体系统实现供应链风险评估自动化

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该条目描述了一篇介绍新框架的研究论文。[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) ·

    AutoMARS:用于供应链风险评估的自动化和可扩展多智能体大语言模型框架

    We propose AutoMARS (Automatic Multi-Agent Risk Assessment), an agentic framework for automatic and scalable comparative risk assessment in supply chain networks. The framework enables end-to-end execution of analytical workflows by automatically planning tasks, coordinating spec…