Dial: A Knowledge-Grounded Dialect-Specific NL2SQL System
Summary: Dial decomposes NL intent into dialect-aware logical plans and grounds generation in HINTKB’s syntax, function, and constraint knowledge. Its execution-driven debugging separates syntax repair from semantic auditing, yielding gains across six engines on the DS-NL2SQL benchmark. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Xiang Zhang (Shanghai Jiao Tong University)
- 2. Hongming Xu (Shanghai Jiao Tong University)
- 3. Le Zhou (Shanghai Jiao Tong University)
- 4. Wei Zhou (Shanghai Jiao Tong University)
- 5. Xuanhe Zhou (Shanghai Jiao Tong University)
- 6. Guoliang Li (Tsinghua University)
- 7. Yuyu Luo (Hong Kong University of Science and Technology)
- 8. Changdong Liu (Shanghai Ideal Information Industry (Group))
- 9. Guorun Chen (Shanghai Ideal Information Industry (Group))
- 10. Jiang Liao (China Telecom Corporation Limited, Shanghai Branch)
- 11. Fan Wu (Shanghai Jiao Tong University)
BibTeX Citation
@article{zhang_vldb26,
title = {{Dial: A Knowledge-Grounded Dialect-Specific NL2SQL System}},
author = {Zhang, Xiang and Xu, Hongming and Zhou, Le and Zhou, Wei and Zhou, Xuanhe and Li, Guoliang and Luo, Yuyu and Liu, Changdong and Chen, Guorun and Liao, Jiang and Wu, Fan},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {11},
pages = {3718--3731},
doi = {10.14778/3836663.3836720},
url = {https://doi.org/10.14778/3836663.3836720},
year = {2026}
}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,940 | Bridging NL2SQL for CAN Signal Analytics at NIO: From Externalized Schemas to CTE Pipelines | 2026 | VLDB | 4.9793485e-05 |
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