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Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding

Summary: Builds reusable NL–SQL templates from labeled workloads and uses a fine-tuned NLI selector to match/reject incoming queries. Enforces chosen template via partitioned grammar-constrained decoding for valid, efficient SQL, yielding up to +36% exec accuracy over ICL and 2.2× lower latency on matched queries. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7608
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,398 | 28.67%
DOI
10.1145/3769822

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BibTeX Citation

@inproceedings{jivani_sigmod26,
        title = {{Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding}},
        author = {Jivani, Smit and Maheshwari, Sarvam and Sarawagi, Sunita},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3769822},
        url = {https://dl.acm.org/doi/10.1145/3769822},
        year = {2026}
}

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