This is a Plain English Papers summary of a research paper called SQL Query Generation Gets 10.6% More Accurate with New Execution-Guided Approach. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- SQL generation for natural language queries remains challenging
- New execution-guided approach helps models learn from query feedback
- Uses generated query execution results to refine SQL output
- Introduces minimum Bayes risk (MBR) decoding for SQL
- Improves accuracy on Spider benchmark by up to 10.6%
- Provides valuable feedback to models on SQL correctness
- Compatible with both closed and open-source LLMs
Plain English Explanation
Imagine trying to teach someone a language by only showing them the final result of what they're trying to say. That's essentially how most text-to-SQL generation models learn - they need to figure out the r...
