Reliable Text-to-SQL with Adaptive Abstention
Summary: RTS adds adaptive abstention and human-in-the-loop for reliable text-to-SQL. Branching Point Prediction with conformal guarantees guides schema linking, and a small generator nearly matches larger models on BIRD, enabling robust, transparent DB interfaces. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kaiwen Chen (University of Toronto)
- 2. Yueting Chen (Seattle University)
- 3. Nick Koudas (University of Toronto)
- 4. Xiaohui Yu (York University)
BibTeX Citation
@inproceedings{chen_sigmod25,
title = {{Reliable Text-to-SQL with Adaptive Abstention}},
author = {Chen, Kaiwen and Chen, Yueting and Koudas, Nick and Yu, Xiaohui},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3709719},
url = {https://dl.acm.org/doi/10.1145/3709719},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,216 | DBugScribe: Automatic Database Bug Reproduction from Community Reports | 2026 | SIGMOD | 5.093636e-05 |
| 10,344 | Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks | 2026 | SIGMOD | 5.093636e-05 |
| 10,403 | ST-Raptor: LLM-Powered Semi-Structured Table Question Answering | 2026 | SIGMOD | 5.093636e-05 |
| 10,572 | Relational Deep Dive: Error-Aware Queries Over Unstructured Data | 2026 | VLDB | 5.093636e-05 |
| 10,732 | RTS+: Reliable Text to SQL | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 179 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00026838277 |
| 279 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.00022468369 |
| 459 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018101318 |
| 756 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | 2024 | SIGMOD | 0.0001431656 |
| 1,444 | CatSQL: Towards Real World Natural Language to SQL Applications | 2023 | VLDB | 0.00010769944 |
| 3,339 | A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems | 2021 | SIGMOD | 7.5047676e-05 |
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