Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain

no code implementations • 11 Jul 2023 • Chunxi Guo, Zhiliang Tian, Jintao Tang, Shasha Li, Zhihua Wen, Kaixuan Wang, Ting Wang

Prompt learning with large language models (LLMs) has emerged as a recent approach, which designs prompts to lead LLMs to understand the input question and generate the corresponding SQL.

Retrieval Text-To-SQL

Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval

no code implementations • 26 Apr 2023 • Chunxi Guo, Zhiliang Tian, Jintao Tang, Pancheng Wang, Zhihua Wen, Kang Yang, Ting Wang

Text-to-SQL is a task that converts a natural language question into a structured query language (SQL) to retrieve information from a database.

Informativeness Retrieval +2