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Qr-Hint: Formally Verified and AI-Explained SQL Tutoring

Summary: Qr-Hint formally finds the smallest syntactic edit that restores semantic equivalence between an incorrect and correct SQL query, avoiding test-case dependence. It uses AI to turn verified diagnoses into answer-preserving hints for learners and teaching staff. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
hcdceef33b7644d0f
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,966 | 26.28%
DOI
10.14778/3827998.3828067

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BibTeX Citation

@article{jiang_vldb26,
        title = {{Qr-Hint: Formally Verified and AI-Explained SQL Tutoring}},
        author = {Jiang, Zhouyi and Hu, Yihao and Gilad, Amir and Roy, Sudeepa and Yang, Jun},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4566--4569},
        doi = {10.14778/3827998.3828067},
        url = {https://doi.org/10.14778/3827998.3828067},
        year = {2026}
}

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