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Cascaded Retrieval with Cross-Modal Query Refinement for Efficient Visual Document Search

Turmakhan, Diana et al.
arXiv (All) · Papers
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computation-and-language
Retrieving information from visually rich documents requires matching queries against pages that contain complex evidence in tables, figures, and layout-dependent structures. Current vision-language retrievers address this but incur query-time costs that grow with corpus size and are impractical to
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