DialectEvo: Bridging SQL Dialects with Execution-Guided Knowledge Refinement
Summary: DialectEvo combines deterministic rewriting, bounded LLM reflection, and database execution to verify SQL dialect translations. It uniquely converts execution failures into reusable cross-dialect rules, enabling iterative knowledge refinement beyond query-level correction. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Jianling Gao (Beihang University)
- 2. Chongyang Tao (Beihang University)
- 3. Liu Yang (Beihang University)
- 4. Xiya Jiang (Beijing Institute of Technology)
- 5. Shuai Ma (Beihang University)
BibTeX Citation
@article{gao_vldb26,
title = {{DialectEvo: Bridging SQL Dialects with Execution-Guided Knowledge Refinement}},
author = {Gao, Jianling and Tao, Chongyang and Yang, Liu and Jiang, Xiya and Ma, Shuai},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4850--4853},
doi = {10.14778/3827998.3828138},
url = {https://doi.org/10.14778/3827998.3828138},
year = {2026}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,229 | Cracking SQL Barriers: An LLM-based Dialect Translation System | 2025 | SIGMOD | 6.7165534e-05 |
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