MMStar
Introduced by Chen et al. in Are We on the Right Way for Evaluating Large Vision-Language Models?
MMStar is an elite vision-indispensable multi-modal benchmark comprising 1,500 meticulously selected samples. These samples are carefully balanced and purified, ensuring they exhibit visual dependency, minimal data leakage, and require advanced multi-modal capabilities. MMStar evaluates LVLMs across 6 core capabilities and 18 detailed axes.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
