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Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM
Feb. 20, 2024, 5:51 a.m. | Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang
cs.CL updates on arXiv.org arxiv.org
Abstract: Generating accurate SQL for user queries (text-to-SQL) is a long-standing problem since the generation of the SQL requires comprehending the query and database and retrivale the accurate data from the database accordingly. Existing models rely on the comprehensive ability of Large Language Models (LLMs) to generate the SQL according to the database schema. However, there is some necessary knowledge that is not explicitly included in the database schema or has been learned by LLMs. Thus, …
abstract arxiv cs.cl data database expert generate knowledge language language models large language large language models llm llms queries query sql sql generation text text-to-sql type
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