Query and Conquer: Execution-Guided SQL Generation
Authors: name: Łukasz Borchmann; name: Marek Wydmuch
Published: 2025-03-31 17:43:36

Abstract: We propose a novel approach for generating complex outputs that significantly
improves accuracy in text-to-SQL tasks. Our method leverages execution results
to select the most semantically consistent query from multiple candidates,
enabling smaller, cost-effective models to surpass computationally intensive
reasoning methods such as o1, o3-mini, and DeepSeek R1 while reducing inference
cost by as much as 30 times. It integrates effortlessly with existing models,
offering a practical and scalable pathway to state-of-the-art SQL generation.