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.
This can lead to overfitting and over-reliance on proxy instructions, thereby degrading the inference performance of a fine-tuned LVLM
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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.