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: Achieving privacy-preserving analytical query with fine-grained access control for cloud-based data warehouse (CDW) through the use of online analytical processing (OLAP) tool is a real ...
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