Abstract: The motivation of this paper is to be able to generate high-quality (Structured Query Language) SQL language sentences in terms of syntax and semantics so that they are intended to achieve a ...

Query fan-out optimization has a simple goal: making your content useful across multiple related queries at once, not just a single keyword. AI-powered search systems and LLMs increasingly answer ...

Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document ...

Learning complex, detailed, and evolving knowledge is a challenge in multiple technical professions. Relevant source knowledge is contained within many large documents and information sources with ...

Google’s query fan-out technique issues multiple background searches based on initial question. This system is active across AI Mode, Deep Search, and some AI Overview results. The approach relies on ...

Large language models (LLMs) show intriguing human-like behaviors despite being trained solely via language prediction. Are these models developing human-like concepts central to human understanding?

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Abstract: Query rewriting aims to generate a new query that can complement the original query to improve the information retrieval system. Recent studies on query rewriting, such as query2doc, ...

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects simply to a non-technical, business audience. Over… SQL is a programming ...