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)
Incoming Non-self Citations Over Time
Authors
- 1. Wei Zhou (Shanghai Jiao Tong University)
- 2. Yuyang Gao (Tsinghua University)
- 3. Xuanhe Zhou (Shanghai Jiao Tong University)
- 4. Guoliang Li (Tsinghua University)
BibTeX Citation
@inproceedings{zhou_sigmod25,
title = {{Cracking SQL Barriers: An LLM-based Dialect Translation System}},
author = {Zhou, Wei and Gao, Yuyang and Zhou, Xuanhe and Li, Guoliang},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725278},
url = {https://dl.acm.org/doi/10.1145/3725278},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,259 | R-Bot: An LLM-based Query Rewrite System | 2025 | VLDB | 5.93967e-05 |
| 10,200 | Automating Database-Native Function Code Synthesis with LLMs | 2026 | SIGMOD | 5.093636e-05 |
| 10,216 | DBugScribe: Automatic Database Bug Reproduction from Community Reports | 2026 | SIGMOD | 5.093636e-05 |
| 10,220 | Dialect-Agnostic SQL Parsing via LLM-Based Segmentation | 2026 | SIGMOD | 5.093636e-05 |
| 10,253 | HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search | 2026 | SIGMOD | 5.093636e-05 |
| 10,532 | DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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