Cracking SQL Barriers: An LLM-based Dialect Translation System
Summary: CrackSQL leverages LLMs to translate SQL dialects via function-based segmentation, normalization, and translation-irrelevant abstraction for long, multi-syntax queries. A Cross-Dialect Syntax Embedding Model with a Local-to-Global loop enables targeted fixes and iterative translation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Wei Zhou
- 2. Yuyang Gao
- 3. Xuanhe Zhou
- 4. Guoliang Li
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,035 | R-Bot: An LLM-based Query Rewrite System | 2025 | VLDB | 4.8548467e-05 |
| 10,244 | DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs | 2026 | VLDB | 4.1945683e-05 |
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