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About this paper
Ekata Mitra, Yufei Tao, Kamalamalini Nagasundaram, Ameeta Agrawal
GRIPS makes question-to-data matches explicit before an LLM generates SQL. Its three-stage pipeline uses benchmark-specific rules to record grounded matches and structure, then generates and executes a query in SQLite. For GPT-5-nano on TempTabQA-C Medium, Adaptive answer accuracy was 88.17%, versus 63.31% for SQL Static, but transfer to unseen schemas and noisy metadata remains untested.
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