SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference
Summary: Proposes schema naturalness as a data-centric lever to improve NL-to-SQL with LLMs. Introduces SNAILS: real-world schemas, labeled NL-SQL pairs, an identifier naturalness metric with automated modifiers, and cross-LLM evidence plus natural-views for NL-to-SQL workflows. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kyle Luoma (United States Military Academy; University of California San Diego)
- 2. Arun Kumar (University of California San Diego)
BibTeX Citation
@inproceedings{luoma_sigmod25,
title = {{SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference}},
author = {Luoma, Kyle and Kumar, Arun},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3709727},
url = {https://dl.acm.org/doi/10.1145/3709727},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,216 | DBugScribe: Automatic Database Bug Reproduction from Community Reports | 2026 | SIGMOD | 5.093636e-05 |
| 10,286 | ScaleDoc: Scaling LLM-based Predicates over Large Document Collections | 2026 | SIGMOD | 5.093636e-05 |
| 10,444 | DIVER: A Robust Text-to-SQL System with Dynamic Interactive Value Linking and Evidence Reasoning | 2026 | SIGMOD | 5.093636e-05 |
| 10,537 | TACO: A Benchmark for Open-Domain Text-to-SQL with Ambiguous and Cross-Database Queries | 2026 | VLDB | 5.093636e-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 |
|---|---|---|---|---|
| 279 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.00022468369 |
| 756 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | 2024 | SIGMOD | 0.0001431656 |
| 2,602 | NL2SQL is a solved problem... Not! | 2024 | CIDR | 8.3535452e-05 |
| 3,354 | MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations | 2022 | VLDB | 7.4918609e-05 |
| 5,466 | SchemaPile: A Large Collection of Relational Database Schemas | 2024 | SIGMOD | 6.2075052e-05 |
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