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GenEdit: Compounding Operators and Continuous Improvement to Tackle Text-to-SQL in the Enterprise

Summary: GenEdit: enterprise Text-to-SQL that decomposes queries via compounding operators for targeted retrieval and plan-guided SQL generation. Interactive copilot applies staged prompt edits and merges regression-tested feedback into a company knowledge set for continuous improvement. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
554
Venue
CIDR
Year
2025
Pagerank
5.9425753e-05
Overall Rank
6,211 | 57.39%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{maamari_cidr25,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '25},
        title = {{GenEdit: Compounding Operators and Continuous Improvement to Tackle Text-to-SQL in the Enterprise}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Maamari, Karime and Landy, Connor and Mhedhbi, Amine},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,122 BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation 2026 CIDR 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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