arXiv · 2605.12319
Data-aware candidate selection in NL2SQL translation via small separating instances
Abstract
We propose a data-aware candidate selection method for NL2SQL translation based on separating instances and provenance. We implement this approach and evaluate it against three natural baselines on a subset of BIRD-DEV. Experiments show that our method significantly outperforms baselines when only two or three candidates are given and no consistency score is available. The code of our prototype can be found at https://github.com/staskikotx/SISelection
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Stanislav Kikot, Alexander Shulgin, Yanwei Xu. 2026-05-12. Data-aware candidate selection in NL2SQL translation via small separating instances. https://arxiv.org/abs/2605.12319
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