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ReVA: A Region-Aware Visual Assistant for Visually Grounded Question Answering

Senthil, Anoop
arXiv (OAI Expanded) · Papers
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computation-and-languagecomputer-vision-and-pattern-recognition
Multimodal Large Language Models (MLLMs) have achieved remarkable progress in Visual Question Answering (VQA), yet they continue to struggle with questions requiring precise spatial reasoning and fine-grained visual understanding. These limitations often manifest as object, attribute, and spatial ha
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