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REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory.
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2026-03-03 07:09:54
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REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory Ziniu Hu 1 , Ahmet Iscen 2 , Chen Sun 2 , Zirui Wang 2 , Kai-Wei Chang 1 , Yizhou Sun 1 , Cordelia Schmid 2 , David A Ross 2 , Alireza Fathi 2 1 University of California, Los Angeles, 2 Google Research Paper Code REVEAL is an end-to-end Retrieval-Augmented Visual Language Model that learns to encode world knowledge into a large-scale memory, and to retrieve from it to answer knowledge-intensive queries. Abstract We propose an end-to-end Retrieval-Augmented Visual Language Model (REVEAL) that learns to encode world knowledge into a large-scale memory, and to retrieve from it to answer knowledge-intensive queries REVEAL consists of four key components: the memory, the encoder, the retriever and the generator. The la...
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