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)
Incoming Non-self Citations Over Time
Authors
- 1. Tarique Siddiqui (Microsoft)
- 2. Arnd Christian König (Microsoft)
- 3. Jiashen Cao (Georgia Institute of Technology)
- 4. Cong Yan (Snowflake)
- 5. Shuvendu K. Lahiri (Microsoft)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,232 | EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines | 2026 | SIGMOD | 5.093636e-05 |
| 10,541 | Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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