Instruction-free tuning of LVLMs on medical image-description pairs via momentum proxy instructions and response shuffling achieves SOTA accuracy on VQA tasks across SKINCON, WBCAtt, CBIS, and MIMIC-CXR.
Recently, LLaMA-3.2-Vision [16] extended LLaMA 3.1 by adapting cross-attention layers to integrate the image modality with language
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Instruction-Free Tuning of Large Vision Language Models for Medical Instruction Following
Instruction-free tuning of LVLMs on medical image-description pairs via momentum proxy instructions and response shuffling achieves SOTA accuracy on VQA tasks across SKINCON, WBCAtt, CBIS, and MIMIC-CXR.