Abstract: To leverage the advantages of LLM in addressing challenges in the Text-to-SQL task, we present XiYan-SQL, an innovative framework effectively generating and utilizing multiple SQL candidates ...
Controversial remarks posted on Sedalia’s official Facebook page ahead of April 7 election The city of Sedalia is facing backlash after offensive comments about a mayoral candidate were posted on its ...
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 ...
A MySQL database project demonstrating relational database design and normalization for managing student club memberships at a college. The project walks through the full normalization process from an ...
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