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 | 0.00010920878 |
| 1,867 | ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems | 2024 | VLDB | 9.4771545e-05 |
| 3,937 | Testing Graph Database Systems via Graph-Aware Metamorphic Relations | 2024 | VLDB | 6.9130095e-05 |
| 4,925 | SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference | 2025 | SIGMOD | 6.3482868e-05 |
| 9,220 | Natural Language to SQL: State of the Art and Open Problems | 2025 | VLDB | 5.2036865e-05 |
| 11,336 | Evoschema: Towards Text-To-Sql Robustness Against Schema Evolution | 2025 | VLDB | 4.9769913e-05 |
| 11,433 | Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both? | 2025 | VLDB | 4.9769913e-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 | 0.00026541021 |
| 439 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018253425 |
| 728 | Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms | 2015 | VLDB | 0.00014436728 |
| 778 | Natural language to SQL: Where are we today? | 2020 | VLDB | 0.00014066246 |
| 2,014 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD | 9.185301e-05 |
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| 1 | 9,220 | Natural Language to SQL: State of the Art and Open Problems | 2025 | VLDB |
| 2 | 2,592 | Text2SQL is Not Enough: Unifying AI and Databases with TAG | 2025 | CIDR |
| 3 | 12,057 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR |
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