LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering.

arXiv:2605.09384v2 Announce Type: replace-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-constraine