MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation (2025.naacl-long)
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Satya Krishna Gorti, Ilan Gofman, Zhaoyan Liu, Jiapeng Wu, Noël Vouitsis, Guangwei Yu, Jesse C. Cresswell, Rasa Hosseinzadeh
| Challenge: | Recent advances in text-to-SQL generation rely on large closed-source models that present challenges in accessibility, privacy, and latency. |
| Approach: | They propose to use open-source text-to-SQL models to critique SQL queries . their method evaluates multiple outputs simultaneously and is competitive with larger models . |
| Outcome: | The proposed method achieves state-of-the-art performance compared to open-source models while remaining competitive with larger models at a much lower cost. |
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