Lin-Chen/MMStar

MMStar (Are We on the Right Way for Evaluating Large Vision-Language Models?) 🌐 Homepage | 🤗 Dataset | 🤗 Paper | 📖 arXiv | GitHub Dataset Details As shown in the figure below, existing benchmarks lack consideration of the vision dependency of evaluation samples and potential data leakage from LLMs' and LVLMs' training data. Therefore, we introduce MMStar: an elite vision-indispensible multi-modal benchmark, aiming to ensure each curated sample exhibits… See the full description on the dataset page: https://huggingface.co/datasets/Lin-Chen/MMStar.

<iframe src="https://silytics.si/embed/item/fb085fc1-3dba-4451-8b74-6bc9a86a0cec" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 14 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.