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KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering
融合外部知识与视觉感知的KG-ViP框架，让多模态大模型在视觉问答中更精准、更可解释。
arXiv:2601.11632v3 Announce Type: replace Abstract: Multi-modal Large Language Models (MLLMs) for Visual Question Answering (VQA) often suffer from du…