Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-text-to-sql-capabilities-of-large-language-models-a-study-on-prompt-design-strategies
MLA“Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-text-to-sql-capabilities-of-large-language-models-a-study-on-prompt-design-strategies.
BibTeX@misc{4ortxyz_enhancing-text-to-sql-capabilities-of-large-language-models-a-study-on-prompt-design-strategies_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-text-to-sql-capabilities-of-large-language-models-a-study-on-prompt-design-strategies}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies — https://4ort.xyz/entity/enhancing-text-to-sql-capabilities-of-large-language-models-a-study-on-prompt-design-strategies (retrieved 2026-05-24)
