PRISM: Navigating Cost–Accuracy Trade-offs for NL2SQL
Summary: PRISM targets NL2SQL deployment as a schema-aware cost–accuracy optimization problem, rather than pure accuracy maximization. Uses cost-aware Bayesian optimization offline to curate high-performing pipelines, then deploys a single candidate or ensemble for strong accuracy at dramatically lower inference cost. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Gaurav Tarlok Kakkar (Georgia Institute of Technology)
- 2. Yeounoh Chung (Google)
- 3. Fatma Özcan (Google)
- 4. Steve Mussmann (Georgia Institute of Technology)
- 5. Joy Arulraj (Georgia Institute of Technology)
BibTeX Citation
@inproceedings{kakkar_sigmod26,
title = {{PRISM: Navigating Cost–Accuracy Trade-offs for NL2SQL}},
author = {Kakkar, Gaurav Tarlok and Chung, Yeounoh and Özcan, Fatma and Mussmann, Steve and Arulraj, Joy},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786679},
url = {https://dl.acm.org/doi/10.1145/3786679},
year = {2026}
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Showing 7 of 7 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 |
| 1,245 | Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing | 2025 | CIDR | 0.00011507415 |
| 1,343 | DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing | 2025 | VLDB | 0.00011095866 |
| 2,395 | OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale | 2025 | VLDB | 8.6355093e-05 |
| 7,316 | SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint | 2025 | SIGMOD | 5.646695e-05 |
| 7,332 | Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL | 2025 | VLDB | 5.6433374e-05 |
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