anvo25/vmmu

ViExam: Are Vision Language Models Better than Humans on Vietnamese Multimodal Exam Questions? by Vy Tuong Dang*, An Vo*, Quang Tau, Duc Dm, Daeyoung Kim, *Equal contribution  KAIST TLDR: State-of-the-art Vision Language Models (VLMs) demonstrate remarkable capabilities on English multimodal tasks but significantly underperform on Vietnamese educational assessments. ViExam reveals that SOTA VLMs achieve only 57.74%… See the full description on the dataset page: https://huggingface.co/datasets/anvo25/vmmu.