MMVistaReason: Toward Open-Data and Post-Training Recipes for Multimodal Reasoning

Benchmark Model Rank Results
multimodal-reasoning-on-logicvistaMMVistaReason-9B#1Accuracy: 68.5
mathematical-reasoning-on-mathverseMMVistaReason-9B#2Accuracy: 82.4
multimodal-reasoning-on-visulogicMMVistaReason-9B#2Accuracy: 30.2
visual-question-answering-vqa-on-countbenchqaMMVistaReason-9B#2Accuracy: 92.8
visual-question-answering-vqa-on-mmbench-enMMVistaReason-9B#2Accuracy: 92.2
computer-use-agents-on-osw-g-osworld-gMMVistaReason-9B#11Accuracy: 64.8
chart-question-answering-on-charxiv-rqMMVistaReason-9B#15Accuracy: 68.8
multimodal-reasoning-on-mathvistaMMVistaReason-9B#19Accuracy: 83.6
visual-question-answering-vqa-on-realworldqaMMVistaReason-9B#19Accuracy: 77.4
multimodal-reasoning-on-mmmuMMVistaReason-9B#20Accuracy: 73.6
chart-question-answering-on-chartqaMMVistaReason-9B#221:1 Accuracy: 87.6