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English(EN) CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows

ClimateAgent框架自动化气候数据科学工作流

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了ClimateAgent，一个旨在自动化复杂气候数据科学工作流的多智能体框架。该系统将用户问题分解为子任务，通过专用智能体动态获取数据，并通过自我纠正循环生成分析和报告。在Climate-Agent-Bench-85基准测试的评估中，ClimateAgent实现了100%的任务完成率，并且报告质量得分高于GitHub Copilot和GPT-5基线。 AI

影响 该框架可以通过自动化复杂的数据分析和报告任务，显著加速气候研究。

排序理由 该集群描述了一篇关于气候数据科学新框架的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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

ClimateAgent框架自动化气候数据科学工作流

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该集群描述了一篇关于气候数据科学新框架的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Chenyue Li, Hyeonjae Kim, Wen Deng, Mengxi Jin, Wen Huang, Mengqian Lu, Binhang Yuan ·

    CLIMATEAGENT：复杂气候数据科学工作流的多智能体编排

    arXiv:2511.20109v2 Announce Type: replace Abstract: Climate science demands automated workflows to transform comprehensive questions into data-driven statements across massive, heterogeneous datasets. However, generic LLM agents and static scripting pipelines lack climate-specifi…

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