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English(EN) TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas

新的TRUST-SQL框架实现了未知模式下的文本到SQL转换

研究人员开发了TRUST-SQL,一个新颖的文本到SQL解析框架,即使在数据库模式未知的情况下也能有效运行。该系统使用结构化的四阶段协议和双轨道GRPO策略来识别和验证相关元数据,从而改进了探索奖励的信用分配。实验表明,TRUST-SQL在标准方法上取得了显著的改进,在没有先验元数据知识的情况下,其性能优于模式预填充基线。 AI

影响 这项研究可以显著改善AI代理在真实企业环境中与复杂、未知的数据库进行交互和查询的方式。

排序理由 该集群包含一篇详细介绍文本到SQL解析新方法的论文。[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TRUST-SQL框架实现了未知模式下的文本到SQL转换

本文如何被排名

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该集群包含一篇详细介绍文本到SQL解析新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ai Jian, Xiaoyun Zhang, Eryu Guo, Wanrou Du, Jingqing Ruan, Jiangbo Pei, Weipeng Zhang, Ke Zeng, Xunliang Cai ·

    TRUST-SQL:面向未知模式的文本到SQL的工具集成多轮强化学习

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