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English(EN) LIBRA: Programmatic Induction of Executable Tool Libraries

LIBRA框架通过可编程库归纳增强LLM代理工具检索

研究人员推出LIBRA,一个旨在为大型语言模型代理从平面目录中可编程创建可执行工具库的框架。LIBRA使用LLM提出工具契约,然后在沙箱中进行测试以建立运行时关系,无需手动注释或特定任务的训练。这种方法显著提高了在AppWorld、BFCL和SciToolEval等基准测试以及ToolReAGt框架内的检索性能。 AI

影响 通过提高工具检索效率和实现更复杂的任务执行来增强LLM代理的能力。

排序理由 该集群描述了一篇详细介绍LLM代理新框架的研究论文。

在 arXiv cs.AI 阅读 →

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LIBRA框架通过可编程库归纳增强LLM代理工具检索

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该集群描述了一篇详细介绍LLM代理新框架的研究论文。
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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Zekai Li, Zhenke Liu, Yonghao Li, Junhan Liu, Xulong Xiao, Jiapeng Zhang ·

    LIBRA:可执行工具库的程序化归纳

    arXiv:2611.05445v1 Announce Type: cross Abstract: Large language model agents increasingly retrieve tools from large catalogs, yet most retrievers rank each tool independently by request similarity. For multi tool tasks, this recovers the goal matching tool while omitting prerequ…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jiapeng Zhang ·

    LIBRA:可执行工具库的程序化归纳

    Large language model agents increasingly retrieve tools from large catalogs, yet most retrievers rank each tool independently by request similarity. For multi tool tasks, this recovers the goal matching tool while omitting prerequisite tools required by the workflow.We introduce …

  3. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jiapeng Zhang ·

    LIBRA: Programmatic Induction of Executable Tool Libraries

    Large language model agents increasingly retrieve tools from large catalogs, yet most retrievers rank each tool independently by request similarity. For multi tool tasks, this recovers the goal matching tool while omitting prerequisite tools required by the workflow. We introduce…