DEEP-PolyU/Awesome-LLM-based-Text2SQL
A curated collection of surveys, papers, benchmarks, and open-source projects on LLM-based text-to-SQL generation.
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This repository aggregates research on using large language models to convert natural language queries into SQL statements, which is a key application of LLMs in database interfaces. It provides a taxonomy, benchmarks, datasets, and references to papers covering schema linking, prompt engineering, evaluation metrics, and downstream applications in this domain.
Frequently asked
- What is DEEP-PolyU/Awesome-LLM-based-Text2SQL?
- A curated collection of surveys, papers, benchmarks, and open-source projects on LLM-based text-to-SQL generation.
- Is Awesome-LLM-based-Text2SQL open source?
- Yes — DEEP-PolyU/Awesome-LLM-based-Text2SQL is open source, released under the MIT license.
- How popular is Awesome-LLM-based-Text2SQL?
- DEEP-PolyU/Awesome-LLM-based-Text2SQL has 1.3k stars on GitHub.
- Where can I find Awesome-LLM-based-Text2SQL?
- DEEP-PolyU/Awesome-LLM-based-Text2SQL is on GitHub at https://github.com/DEEP-PolyU/Awesome-LLM-based-Text2SQL.