SOURCE-LINKED INTELLIGENCE
Reflect-SQL: A Self-Reflection Based Framework for Text-to-SQL
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 validation and correction mechanism. To address these systemic challenges, we introduce Reflect-SQL, a novel framework for Text to SQL, grounded in multi-stage self-reflection appro
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T07:46:27.000Z
First collected: 2026-09-21T06:11:57.537Z. This is not the publication date.