Abstract: Large Language Models have greatly enhanced the Text-to-SQL task. In this paper, we propose AES-SQL, an LLM-based approach based on few-shot Learning. We adjust the structure of the adaptive ...
Abstract: Text–to–SQL models allow users to interact with a database more easily by generating executable SQL statements from natural–language questions. Despite recent successes on simpler databases ...