OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment
Summary: OpenSearch-SQL proposes a modular Text-to-SQL pipeline with a Consistency Alignment module to curb instruction deviations and hallucinations. It uses a SQL-Like intermediate language and dynamic few-shot Query-CoT-SQL to run base LLMs without fine-tuning, achieving top EX and R-VES on BIRD. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiangjin Xie (Alibaba)
- 2. Guangwei Xu (Alibaba)
- 3. Lingyan Zhao (Alibaba)
- 4. Ruijie Guo (Alibaba)
BibTeX Citation
@inproceedings{xie_sigmod25,
title = {{OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment}},
author = {Xie, Xiangjin and Xu, Guangwei and Zhao, Lingyan and Guo, Ruijie},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725331},
url = {https://dl.acm.org/doi/10.1145/3725331},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 37 | DISCOVER: Keyword Search in Relational Databases | 2002 | VLDB | 0.00048017193 |
| 212 | Efficient IR-Style Keyword Search over Relational Databases | 2003 | VLDB | 0.000247733 |
| 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 |
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