Natural Language to SQL: State of the Art and Open Problems
Summary: A comprehensive tutorial on LLM- and agent-based NL2SQL, spanning training-data collection/synthesis, translation, debugging, and scenario-aware evaluation. It distills practitioner guidance and articulates open research challenges for reliable database access. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuyu Luo (Hong Kong University of Science and Technology)
- 2. Guoliang Li (Tsinghua University)
- 3. Ju Fan (Renmin University of China)
- 4. Chengliang Chai (Beijing Institute of Technology)
- 5. Nan Tang (Hong Kong University of Science and Technology)
BibTeX Citation
@article{luo_vldb25,
title = {{Natural Language to SQL: State of the Art and Open Problems}},
author = {Luo, Yuyu and Li, Guoliang and Fan, Ju and Chai, Chengliang and Tang, Nan},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5466--5471},
doi = {10.14778/3750601.3750696},
url = {https://doi.org/10.14778/3750601.3750696},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,090 | LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning | 2026 | VLDB | 5.601767e-05 |
| 10,432 | DBugScribe: Automatic Database Bug Reproduction from Community Reports | 2026 | SIGMOD | 4.9793485e-05 |
| 10,433 | DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework | 2026 | SIGMOD | 4.9793485e-05 |
| 10,497 | Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards | 2026 | SIGMOD | 4.9793485e-05 |
| 10,892 | Dial: A Knowledge-Grounded Dialect-Specific NL2SQL System | 2026 | VLDB | 4.9793485e-05 |
| 11,024 | Bridging LLMs and Database Systems: A Deep Dive into Enhanced Relational Operators | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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