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Reflect-SQL：基于自反思的 Text-to-SQL 框架
原标题：Reflect-SQL: A Self-Reflection Based Framework for Text-to-SQL
AI 摘要
arXiv 论文提出 Reflect-SQL，一种基于多阶段自反思的 Text-to-SQL 框架，通过知识库、反馈驱动的检索循环和迭代 SQL 合成循环，解决企业级数据库模式晦涩、检索低效和 SQL 逻辑错误等问题。在 BIRD 基准上，该框架执行准确率达 72.03%，比现有最优方法提升 11.05%，展示了在复杂企业应用中的可靠性。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
Reflect-SQL: A Self-Reflection Based Framework for Text-to-SQL Abstract Democratizing data access through natural language is a crucial goal for modern enterprises, but the practical adoption of Text-to-SQL is critically hindered by real-world complexities: 1. Obscure and large database schemas, 2. Ineffective retrieval of relevant tables and columns due to structured setting of schemas and vague user query, 3. Generation of syntactically or logically flawed SQL due to a lack of robust validatio
发布时间：2026-09-04 12:00
抓取时间：2026-09-04 12:14
来源机构：arXiv