LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering
Researchers introduce LiteMedCoT-VL, a pipeline that transfers chain-of-thought reasoning from a large teacher model to smaller student models through LoRA-based fine-tuning on explanation-enriched training data. This allows for more interpretable clinical decision support on portable clinical devices.
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