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Spatial Matryoshka Training for Multi-Granularity Visual Document Retrieval
Multi-modal late-interaction retrievers achieve strong retrieval on visually rich documents by representing each page as per patch embeddings and matching at the token level. However, this approach incurs high storage costs. Existing compression methods typically fix a single compression level at in
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