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English(EN) SKILL-DISCO: Distilling and Compiling Agent Traces into Reusable Procedural Skills

SkillDisCo框架将代理轨迹蒸馏成可重用的程序性技能

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了SkillDisCo，一个旨在将代理轨迹蒸馏和编译成可重用程序性技能的框架。该方法通过识别和表示任务实例中的共享程序结构，旨在降低冗余推理成本并缩短执行轨迹。在ALFWorld和WebArena基准上的实验表明，SkillDisCo在各种模型规模下都能提高成功率并减少代理回合数。 AI

影响 该框架通过使AI代理能够学习和重用程序性技能，有望带来更高效、更强大的AI代理。

排序理由 该集群描述了一篇关于AI代理新颖框架的最新研究论文。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

SkillDisCo框架将代理轨迹蒸馏成可重用的程序性技能

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Zhongxin Guo, Danrui Qi, Hanwen Gu, Peng Cheng, Yongqiang Xiong ·

    SKILL-DISCO：将代理轨迹提炼和编译为可重用程序化技能

    arXiv:2606.26669v1 Announce Type: new Abstract: Agents often repeatedly solve similar task instances from scratch, leading to unnecessary reasoning cost and long execution traces. Prior work has explored workflow reuse and executable skill induction, but it remains unclear which …

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

    SKILL-DISCO：将代理轨迹提炼并编译成可重用的程序性技能

    Agents often repeatedly solve similar task instances from scratch, leading to unnecessary reasoning cost and long execution traces. Prior work has explored workflow reuse and executable skill induction, but it remains unclear which task scenarios admit procedural skills and how t…

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