arxiv
PublishedNovember 4, 2026 at 5:00 AM
GRIPS: An Empirical Study of Pre-SQL Grounding Information for SQL Generation
Publisher summary· verbatim
arXiv:2611.02314v1 Announce Type: new Abstract: Text-to-SQL systems answer natural language questions over structured data, but can fail before SQL generation by linking question mentions to the wrong table, column, value, or relation. Even valid SQL can then return an incorrect answer. This raises
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivFrom Fragmentation to Fusion: A Survey and Roadmap for Omnimodal Embeddings4harxivFidelity Collapses with Table Size, Not Turn Count: Delivery Architecture in a Deployed Tool-Using Agent4harxivFrom Lookups to Lessons: Turning Retrieved Knowledge into Parametric Memory4harxivSteering Readerly Dynamics: Trajectory-Guided Story Generation with Large Language Models4hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗