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MIDR: Enrichment-Augmented Indexing for Multimodal Document Retrieval
artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognitioninformation-retrievalmachine-learning
Retrieval over visually rich documents has a representation problem: important content often lives in tables, charts, figures, and layout relations that plain OCR linearizes, corrupts, or omits. ColPali-family visual retrievers address this with patch-level multi-vector indexes and late-interaction
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