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UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities

Yeo, Woongyeong et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognitioninformation-retrievalmachine-learning
Retrieval-Augmented Generation (RAG) has shown substantial promise in improving factual accuracy by grounding model responses with external knowledge relevant to queries. However, most existing approaches are limited to a text-only corpus, and while recent efforts have extended RAG to other modaliti
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