CatSQL: Towards Real World Natural Language to SQL Applications
Summary: CatSQL: sketch-based NL2SQL with slot-filled templates tied to neural models—slots can propagate values to infer others, avoiding boilerplate token generation to boost accuracy and speed. Plus Semantics Correction, a DB-rule post-processor that fixes semantic errors; achieves +4% on Spider and up to 63× throughput. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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BibTeX Citation
@article{fu_vldb23,
title = {{CatSQL: Towards Real World Natural Language to SQL Applications}},
author = {Fu, Han and Liu, Chang and Wu, Bin and Li, Feifei and Tan, Jian and Sun, Jianling},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {6},
pages = {1534--1547},
doi = {10.14778/3583140.3583165},
url = {https://doi.org/10.14778/3583140.3583165},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 178 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00026568976 |
| 430 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018415668 |
| 755 | Natural language to SQL: Where are we today? | 2020 | VLDB | 0.00014210408 |
| 1,895 | QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques | 2013 | VLDB | 9.4039774e-05 |
| 1,999 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD | 9.2108564e-05 |
| 2,747 | DBPal: A Learned NL-Interface for Databases | 2018 | SIGMOD | 8.0453676e-05 |
| 3,322 | MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations | 2022 | VLDB | 7.411678e-05 |
| 4,904 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD | 6.3477561e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,999 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD |
| 2 | 2,216 | Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning | 2023 | SIGMOD |
| 3 | 3,322 | MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations | 2022 | VLDB |
| 4 | 2,118 | NL2SQL is a solved problem... Not! | 2024 | CIDR |
| 5 | 7,972 | The Power of Constraints in Natural Language to SQL Translation | 2025 | VLDB |
| 6 | 10,766 | NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions | 2026 | VLDB |
| 7 | 2,117 | The Dawn of Natural Language to SQL: Are We Fully Ready? | 2024 | VLDB |
| 8 | 9,242 | Natural Language to SQL: State of the Art and Open Problems | 2025 | VLDB |
| 9 | 3,358 | Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL | 2024 | VLDB |
| 10 | 755 | Natural language to SQL: Where are we today? | 2020 | VLDB |