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Chapter and Conference Paper
Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval
Text-to-SQL is a task that converts a natural language question into a structured query language (SQL) to retrieve information from a database. Large language models (LLMs) work well in natural language genera...
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Chapter and Conference Paper
Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain
Text-to-SQL aims at generating SQL queries for the given natural language questions and thus hel** users to query databases. Prompt learning with large language models (LLMs) has emerged as a recent approach...