研究人员开发了QueryWeaver系统，旨在提高多工具查询执行的可靠性。该系统将自然语言查询转换为结构化图，然后由确定性规划器进行处理。这种方法利用深度优先搜索来管理依赖关系和组合结果，提高了准确性，并支持更复杂的跨工具查询，即使使用较小或本地托管的语言模型也能实现。 AI
影响 增强了LLM处理复杂数据集成的能力，可能提高代理性能。
排序理由 该集群包含一篇描述新系统和方法的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
QueryWeaver系统使用LLM图实现可靠的多工具查询执行
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报道来源 [2]
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QueryWeaver：基于LLM的图生成实现可靠的多工具查询执行规划
arXiv:2606.08300v1 Announce Type: new Abstract: Many real-world queries over personal data span multiple applications and require structured planning, as individual tools expose only partial information. While LLMs show strong reasoning and tool use, reliably executing multi-step…
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QueryWeaver：基于LLM图生成的可靠多工具查询执行规划
Many real-world queries over personal data span multiple applications and require structured planning, as individual tools expose only partial information. While LLMs show strong reasoning and tool use, reliably executing multi-step, cross-tool queries remains challenging. We int…