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QURE: AI-Assisted and Automatically Verified UDF Inlining

Summary: QURE uses LLMs to translate Python/Pandas UDFs to SQL and a formal equivalence verifier to confirm translations across diverse UDFs. Imperative constructs modeled in an intermediate verifier derive SQL-semantics conditions, achieving 88% equivalence (84% translations) with 23x/12x speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7121
Venue
SIGMOD
Year
2025
Pagerank
5.2643416e-05
Overall Rank
9,456 | 35.13%
DOI
10.1145/3709716

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{siddiqui_sigmod25,
        title = {{QURE: AI-Assisted and Automatically Verified UDF Inlining}},
        author = {Siddiqui, Tarique and König, Arnd Christian and Cao, Jiashen and Yan, Cong and Lahiri, Shuvendu K.},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3709716},
        url = {https://dl.acm.org/doi/10.1145/3709716},
        year = {2025}
}

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