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CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding
Although Multimodal Large Language Models (MLLMs) have shown remarkable potential in Visual Document Retrieval (VDR) through generating high-quality multi-vector embeddings, the substantial storage overhead caused by representing a page with thousands of visual tokens limits their practicality in re
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