Masking Teacher and Reinforcing Student for Distilling Vision-Language Models

Benchmark Model Rank Results
multimodal-reasoning-on-mathvistaInternVL3.5 - Masters–Accuracy: 85.0
multimodal-reasoning-on-mmmuInternVL3 - Masters–Accuracy: 74.0
multimodal-reasoning-on-mmmu-proQwen3-VL - Masters–Accuracy: 61.4
vision-language-understanding-on-mmstarInternVL3 - Masters–Accuracy: 82.0
visual-question-answering-on-mm-vetInternVL3.5 - Masters–GPT-4 score: 85.6
visual-question-answering-vqa-on-blinkQwen3-VL - Masters–Accuracy: 72.3