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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)

Paper ID
hdd9b1365e7c56943
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,892 | 26.77%
DOI
10.14778/3836663.3836720

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Authors

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}
}

Incoming Citations (Sorted by Pagerank)

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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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