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English(EN) Governed Sovereign RAG for Public Administration: Tripartite Epistemic Routing, Facet-Guided Clarification, and Deterministic Numeric Verification in Citizen Services

墨西哥特拉斯卡拉州部署受管辖RAG以提供公民服务

一篇新研究论文详细介绍了一种面向公共管理的受管辖主权检索增强生成(RAG)架构,专门用于墨西哥特拉斯卡拉州。该系统旨在提供准确的公民服务,同时遵守监管确定性和数据主权。它采用三方认知门进行仲裁,使用确定性数字验证器防止费用幻觉,并在生产跟踪和分层基准测试中均表现出强劲性能。 AI

影响 这项研究展示了RAG在公共管理中的实际应用,有望提高公民服务的效率和准确性,同时解决数据主权问题。

排序理由 详细介绍一种面向公共管理的新型RAG架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.IR (Information Retrieval) 阅读 →

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

墨西哥特拉斯卡拉州部署受管辖RAG以提供公民服务

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详细介绍一种面向公共管理的新型RAG架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Andres Cruz Degante ·

    面向公共管理的受管主权 RAG:公民服务中的三方认知路由、方面引导澄清和确定性数值验证

    Deploying conversational assistants at government service desks faces a tension between regulatory certainty (zero tolerance for invented fees), data sovereignty prohibiting commercial clouds, and high rates of underspecified or out-of-jurisdiction citizen queries. We present and…