LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering
arXiv:2605.09384v1 Announce Type: cross
Abstract: The reasoning gap between large and compact vision-language models (VLMs) limits the deployment of medical AI on portable clinical devices. Compact VLMs of 2–4B parameters can run on resource-constrai…