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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Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 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 |
|---|---|---|---|---|
| 205 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00034651121 |
| 535 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00020718836 |
| 973 | Natural language to SQL: Where are we today? | 2020 | VLDB | 0.0001488435 |
| 1,686 | QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques | 2013 | VLDB | 0.0001090887 |
| 2,325 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD | 9.0277894e-05 |
| 2,819 | DBPal: A Learned NL-Interface for Databases | 2018 | SIGMOD | 8.0668406e-05 |
| 3,506 | MT-TeQL: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations | 2022 | VLDB | 7.0301746e-05 |
| 4,974 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD | 5.7877104e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,325 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD | 9.0277894e-05 |
| 2,948 | Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning | 2023 | SIGMOD | 7.8301799e-05 |
| 3,506 | MT-TeQL: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations | 2022 | VLDB | 7.0301746e-05 |
| 2,987 | NL2SQL is a solved problem... Not! | 2024 | CIDR | 7.77529e-05 |
| 9,151 | The Power of Constraints in Natural Language to SQL Translation | 2025 | VLDB | 4.380727e-05 |
| 10,221 | NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions | 2026 | VLDB | 4.1905499e-05 |
| 3,666 | The Dawn of Natural Language to SQL: Are We Fully Ready? | 2024 | VLDB | 6.8606092e-05 |
| 10,841 | Natural Language to SQL: State of the Art and Open Problems | 2025 | VLDB | 4.1905499e-05 |
| 4,908 | Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL | 2024 | VLDB | 5.835596e-05 |
| 973 | Natural language to SQL: Where are we today? | 2020 | VLDB | 0.0001488435 |