RTS+: Reliable Text to SQL
The reliable translation of natural language queries to SQL is piv- otal for empowering non-technical users to interact with databases. Current state-of-the-art systems fail to holistically address ambi- guities or schema-linking challenges and may generate erroneous SQL leading to faulty query generation. We present RTS+ (Reliable Text-to-SQL Plus), a novel interactive system that builds on the con- cepts of Reliable Text-to-SQL (RTS) [3 ]. RTS+ focuses on improving user experience by incorporating adaptive abstention mechanisms and interactive feedback loops during query generation. Through this demo, we illustrate RTS+'s capabilities using a rich graphical interface that guides users through schema-linking decisions, query generation, verification, and refinement. Users can explore RTS+ on real-world datasets with detailed analytics for understanding abstention-triggered interventions and their outcomes. Using this system, users can achieve perfect scores at popular benchmarks correctly answering a few questions, if required.
Authors
- Nick Koudas (ORCID: https://orcid.org/0000-0001-5648-0638)
- Yueting Chen (ORCID: https://orcid.org/0009-0003-6481-4011)
- Xiaohui Yu (ORCID: https://orcid.org/0000-0001-8170-2327)
- Kaiwen Chen (ORCID: https://orcid.org/0009-0007-6724-9870)
Institutions
- University of Toronto (CA)
- York University (CA)
- Seattle University (US)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1145/3722212.3725129
- Primary Topic
- Advanced Database Systems and Queries
- Type
- article
- Field-Weighted Citation Impact
- 0.00