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ViSAR: Training-Free Adaptive-$k$ Retrieval for Visual Document Question Answering
artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognitioninformation-retrieval
Document Visual Question Answering (DocVQA) often leverages Retrieval-Augmented Generation (RAG), where late-interaction encoders are commonly used to identify document pages relevant to a user query, before answer generation by a Large Vision-Language Model (LVLM). Existing approaches typically ret
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