AI RESEARCH
Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval
arXiv CS.CL
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ArXi:2604.10167v1 Announce Type: cross Multi-vector models dominate Visual Document Retrieval (VDR) due to their fine-grained matching capabilities, but their high storage and computational costs present a major barrier to practical deployment. In this paper, we propose ColChunk, a plug-and-play framework that