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English(EN) Program-Aided Patchable Skill Evolution

新的PASE框架通过可执行程序增强LLM代理技能

研究人员推出了一种名为PASE(程序辅助可修复技能演化)的新框架,旨在增强大型语言模型(LLM)代理的适应性。与以往主要将技能表示为自然语言的方法不同,PASE将技能与可执行程序相关联。这种将过程逻辑分离到可编辑程序中的方式,允许进行更有针对性的更新,并减少了对自然语言描述进行大量修改的需求。实验表明,PASE的性能持续优于现有方法,性能提升超过2.8%,并展现出更强的演化稳定性和泛化能力。 AI

影响 该框架有望带来更强大、更具适应性的LLM代理,能够更高效地处理复杂任务。

排序理由 该集群描述了一篇介绍LLM代理新框架的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

新的PASE框架通过可执行程序增强LLM代理技能

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该集群描述了一篇介绍LLM代理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.AI TIER_1 English(EN) · Jiahao Wang, Yuqi Xiong, Qing Yang, Zhipeng Xu, Zhenghao Liu, Zulong Chen, Yubin Bao ·

    程序辅助可修复技能演进

    arXiv:2611.14019v1 Announce Type: cross Abstract: Agent skills have emerged as an effective means of enabling LLM agents to solve complex, interactive tasks by encoding reusable knowledge without modifying model parameters. Recent approaches further improve skill adaptation by di…