arXiv Computation and Language November 4, 2026 By Ekata Mitra, Yufei Tao, Kamalamalini Nagasundaram, Ameeta Agrawal

GRIPS: An Empirical Study of Pre-SQL Grounding Information for SQL Generation

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The paper introduces GRIPS, a three‑stage method that extracts structured pre‑SQL grounding information—such as table, column, value, and relation links—to guide text‑to‑SQL generation. Experiments on TempTabQA‑C and BIRD show that GRIPS‑Adaptive outperforms baseline SQL Static in 18 of 20 settings, boosting average accuracy by 11.8 percentage points and cutting model‑call token usage by 47.8%. The study demonstrates that explicit grounding improves accuracy and efficiency, while adding more pre‑SQL data does not always help.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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