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Reflect-SQL framework boosts Text-to-SQL accuracy with self-reflection

By PulseAugur Editorial · [3 sources] ·

Researchers have developed Reflect-SQL, a new framework designed to improve the accuracy and reliability of Text-to-SQL systems. This framework utilizes a multi-stage self-reflection process, incorporating an LLM-as-a-judge mechanism to iteratively refine SQL generation. Reflect-SQL addresses challenges such as complex database schemas and ineffective data retrieval by employing feedback loops for query refinement, SQL validation, and end-to-end process optimization. The system achieved a 72.03% execution accuracy on the BIRD benchmark, demonstrating a significant advancement in enterprise data access. AI

IMPACT Enhances enterprise data access by improving the reliability and accuracy of natural language querying for complex databases.

RANK_REASON The cluster contains a research paper detailing a new framework for Text-to-SQL systems.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Reflect-SQL framework boosts Text-to-SQL accuracy with self-reflection

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The cluster contains a research paper detailing a new framework for Text-to-SQL systems.
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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Daniel Machado Pedrozo, Julia Soares Dollis, Bryan Lincoln Marques de Oliveira, Vinicius Alboneti Aguiar, S\'avio Salvarino Teles de Oliveira, Telma Woerle de Lima Soares ·

    SQL-Zero: Self-Evolving Text-to-SQL

    arXiv:2609.04697v1 Announce Type: new Abstract: Training a competitive Text-to-SQL agent usually depends on human-annotated natural-language/SQL pairs, which are expensive, domain-specific, and a bottleneck for scaling to new databases. We show it is possible to train a competiti…

  2. arXiv cs.AI TIER_1 English(EN) · Anupreksha Jain, Manish Shrivastava ·

    Reflect-SQL: A Self-Reflection Based Framework for Text-to-SQL

    arXiv:2609.02944v1 Announce Type: cross 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. In…

  3. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Manish Shrivastava ·

    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…

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