Data-aware candidate selection in NL2SQL translation via small separating instances
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866911675762868224 |
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| author | Kikot, Stanislav Shulgin, Alexander Xu, Yanwei |
| author_facet | Kikot, Stanislav Shulgin, Alexander Xu, Yanwei |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_12319 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Data-aware candidate selection in NL2SQL translation via small separating instances Kikot, Stanislav Shulgin, Alexander Xu, Yanwei Databases 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 |
| title | Data-aware candidate selection in NL2SQL translation via small separating instances |
| topic | Databases |
| url | https://arxiv.org/abs/2605.12319 |