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SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data

Research article (Findings of the Association for Computational Linguistics: EMNLP 2023, 2023) · cited 14× · AI/ML
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SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data

Summary

SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data is a scholarly article[1].

Key Facts

  • SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/sqlprompt-in-context-text-to-sql-with-minimal-labeled-data
MLA “SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sqlprompt-in-context-text-to-sql-with-minimal-labeled-data.
BibTeX @misc{4ortxyz_sqlprompt-in-context-text-to-sql-with-minimal-labeled-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data}}, year = {2026}, url = {https://4ort.xyz/entity/sqlprompt-in-context-text-to-sql-with-minimal-labeled-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data — https://4ort.xyz/entity/sqlprompt-in-context-text-to-sql-with-minimal-labeled-data (retrieved 2026-05-24)

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