Advancing Large Multimodal Models: DocHaystack, InfoHaystack, and the Vision-Centric Retrieval-Augmented Generation Framework

LMMs have made significant strides in vision-language understanding but still need help reasoning over large-scale image collections, limiting their real-world applications like visual search and querying extensive datasets such as personal photo libraries. Existing benchmarks for multi-image question-answering are constrained, typically involving up to 30 images per question, which needs to address the complexities of […]

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