Abstract: Retrieval-Augmented Generation (RAG) typically relies on single-query retrieval. Various query optimization techniques have been proposed to enhance retrieval by decomposing the single query ...
Abstract: Retrieval-Augmented Generation (RAG) represents a transformative advancement for Large Language Models (LLMs) by integrating external knowledge to substantially improve accuracy and mitigate ...
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