CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions

arXiv:2405.02712v1 Announce Type: new
Abstract: Recently, Large Language Models (LLMs) have been demonstrated to possess impressive capabilities in a variety of domains and tasks. We investigate the issue of prompt design in the multi-turn text-to-SQL task and attempt to enhance the LLMs' reasoning capacity when generating SQL queries. In the conversational context, the current SQL query can be modified from the preceding SQL query with only a few operations due to the context dependency. We introduce our method called CoE-SQL …

abstract arxiv capabilities capacity coe context context learning conversational cs.cl design domains in-context learning issue language language models large language large language models llms prompt queries reasoning sql sql queries tasks text text-to-sql type