activity
20222026
most citedGraph-Text Multi-Modal Pre-training for Medical Representation Learning

1 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2026

KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing Examination

Byungjin Choi, Seongsu Bae, Sunjun Kweon +1

We introduce KorMedMCQA-V, a Korean medical licensing-exam-style multimodal multiple-choice question answering benchmark for evaluating vision-language models (VLMs). The dataset c…