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 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,894 | ST-Raptor: LLM-Powered Semi-Structured Table Question Answering | 2026 | SIGMOD | 5.4152499e-05 |
| 8,707 | Relational Deep Dive: Error-Aware Queries Over Unstructured Data | 2026 | VLDB | 5.2705676e-05 |
| 10,383 | Benchmarking Text-to-SQL under Role-Based Access Control | 2027 | SIGMOD | 4.9605343e-05 |
| 10,510 | DBugScribe: Automatic Database Bug Reproduction from Community Reports | 2026 | SIGMOD | 4.9605343e-05 |
| 10,621 | Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks | 2026 | SIGMOD | 4.9605343e-05 |
| 11,228 | RTS+: Reliable Text to SQL | 2025 | SIGMOD | 4.9605343e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 163 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.00027456647 |
| 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 |
| 501 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | 2024 | SIGMOD | 0.00017239952 |
| 1,209 | CatSQL: Towards Real World Natural Language to SQL Applications | 2023 | VLDB | 0.00011499224 |
| 3,246 | A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems | 2021 | SIGMOD | 7.4779968e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,851 | SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL | 2026 | VLDB |
| 2 | 10,383 | Benchmarking Text-to-SQL under Role-Based Access Control | 2027 | SIGMOD |
| 3 | 3,358 | Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL | 2024 | VLDB |
| 4 | 4,812 | Hybrid Querying Over Relational Databases and Large Language Models | 2025 | CIDR |
| 5 | 10,667 | Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding | 2026 | SIGMOD |
| 6 | 10,766 | NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions | 2026 | VLDB |
| 7 | 7,972 | The Power of Constraints in Natural Language to SQL Translation | 2025 | VLDB |
| 8 | 10,837 | A Comparative Evaluation of Schema Subsetting for LLM-based NL-to-SQL over Large-Schema Databases | 2026 | VLDB |
| 9 | 10,963 | Developing and Benchmarking Verification Algorithms to Improve Text-to-SQL Generation | 2026 | VLDB |
| 10 | 11,228 | RTS+: Reliable Text to SQL | 2025 | SIGMOD |