LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs?

Benchmark Model Rank Results
visual-question-answering-vqa-on-mmbench-cnLLaVA-UHD v4#9Accuracy: 86.5
visual-question-answering-vqa-on-mmbench-enLLaVA-UHD v4#11Accuracy: 86.2
optical-character-recognition-ocr-on-ocrbenchLLaVA-UHD v4#32Score: 859
multimodal-reasoning-on-mathvistaLLaVA-UHD v4#39Accuracy: 76.9
multimodal-reasoning-on-mmmuLLaVA-UHD v4#53Accuracy: 62.3
vision-language-understanding-on-mmstarLLaVA-UHD v4#53Accuracy: 66.9