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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Quanhao Zhu

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MedVCoT: Bridging the Modality Gap in Medical VQA Through Latent Visual Reasoning

This work proposes MedVCoT, which incorporates latent visual reasoning into the medical visual question answering (VQA) domain, and utilizes the specialized expertise of MedSAM to train a large vision-language model so that it can autonomously generate consistent and continuous latent visual tokens within Visual Chain-of-Thought.

Bo Xu, Quanhao Zhu, Bolin Zhu et al. · 0 citations

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