Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries
Summary: Qr-Hint generates actionable repair hints for a wrong SQL query relative to a target query, aiming at semantics-preserving fixes rather than mimicking the target syntax. Key novelty: stepwise, provably correct and locally optimal guidance from the user’s own query, despite SQL equivalence undecidability. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yihao Hu (Duke University)
- 2. Amir Gilad (Hebrew University)
- 3. Kristin Stephens-Martinez (Duke University)
- 4. Sudeepa Roy (Duke University)
- 5. Jun Yang (Duke University)
BibTeX Citation
@inproceedings{hu_sigmod24,
title = {{Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries}},
author = {Hu, Yihao and Gilad, Amir and Stephens-Martinez, Kristin and Roy, Sudeepa and Yang, Jun},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654995},
url = {https://dl.acm.org/doi/10.1145/3654995},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,952 | The Power of Constraints in Natural Language to SQL Translation | 2025 | VLDB | 5.4198293e-05 |
| 10,513 | Towards Selecting Informative Alternative Relational Query Plans for Database Education | 2026 | SIGMOD | 4.9793485e-05 |
| 10,843 | I-Rex: An Interactive Debugger for SQL | 2026 | VLDB | 4.9793485e-05 |
| 10,966 | Qr-Hint: Formally Verified and AI-Explained SQL Tutoring | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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