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DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework

Summary: Recasts Text-to-SQL as a software-engineering workflow following SDLC, combining relationally closed schema linking, N-version generation, pre-execution Syntax-Logic-Quality checks, and confidence-aware adjudication. Achieves strong BIRD/Spider accuracy with a small, untuned MoE, emphasizing orchestration over scale. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7408
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,217 | 29.91%
DOI
10.1145/3802035

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BibTeX Citation

@inproceedings{li_sigmod26,
        title = {{DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework}},
        author = {Li, Boyan and Chen, Chong and Xue, Zhujun and Mei, Yinan and Luo, Yuyu},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802035},
        url = {https://dl.acm.org/doi/10.1145/3802035},
        year = {2026}
}

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