MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations
Summary: MT-Teql applies metamorphic, semantics-preserving transformations to utterances and schemas, benchmarking NLIDB robustness without reannotation. Testing nine models found 15,433 defects; using triggering variants for augmentation removed 46.5% of errors. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pingchuan Ma (Hong Kong University of Science and Technology)
- 2. Shuai Wang (Hong Kong University of Science and Technology)
BibTeX Citation
@article{ma_vldb22,
title = {{MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations}},
author = {Ma, Pingchuan and Wang, Shuai},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {3},
pages = {569--582},
doi = {10.14778/3494124.3494139},
url = {https://doi.org/10.14778/3494124.3494139},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,356 | CatSQL: Towards Real World Natural Language to SQL Applications | 2023 | VLDB | 0.00010925509 |
| 1,866 | ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems | 2024 | VLDB | 9.481643e-05 |
| 3,936 | Testing Graph Database Systems via Graph-Aware Metamorphic Relations | 2024 | VLDB | 6.9162836e-05 |
| 4,924 | SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference | 2025 | SIGMOD | 6.3512934e-05 |
| 9,210 | Natural Language to SQL: State of the Art and Open Problems | 2025 | VLDB | 5.2061511e-05 |
| 11,328 | Evoschema: Towards Text-To-Sql Robustness Against Schema Evolution | 2025 | VLDB | 4.9793485e-05 |
| 11,427 | Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both? | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 180 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.0002654471 |
| 439 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018251249 |
| 727 | Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms | 2015 | VLDB | 0.00014443394 |
| 776 | Natural language to SQL: Where are we today? | 2020 | VLDB | 0.00014063545 |
| 2,011 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD | 9.1896169e-05 |
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|---|---|---|---|---|
| 1 | 9,210 | Natural Language to SQL: State of the Art and Open Problems | 2025 | VLDB |
| 2 | 2,606 | Text2SQL is Not Enough: Unifying AI and Databases with TAG | 2025 | CIDR |
| 3 | 2,348 | The Dawn of Natural Language to SQL: Are We Fully Ready? | 2024 | VLDB |
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| 8 | 1,356 | CatSQL: Towards Real World Natural Language to SQL Applications | 2023 | VLDB |
| 9 | 10,695 | NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions | 2026 | VLDB |
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