The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...
Capturing tribal knowledge organically and creating a living metadata store that informs every AI interaction with ...
The difficulty level, as per teachers and students who appeared for the exam, found the paper of moderate level of difficulty ...
Abstract: Inferring structured queries from human language is a complex task that should take into account the lack of knowledge of structural languages like SQL, XQuery, XPath, etc..., in order to ...
Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...
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