VideoMMMU
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The VideoMMMU dataset contains links to web videos used for data collection purposes. VideoMMMU does not own or claim rights to the content linked within this dataset; all rights and copyright remain with the respective content creators and channel owners. Users are responsible for ensuring compliance with the terms and conditions of the platforms hosting these videos.
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This dataset contains the data for the paper Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos. Video-MMMU is a multi-modal, multi-disciplinary benchmark designed to assess LMMs' ability to acquire and utilize knowledge from videos.
Project page: https://videommmu.github.io/
Leaderboard (last updated: 07 Feb, 2025)
| Model | Overall | Perception | Comprehension | Adaptation | Δknowledge |
|---|---|---|---|---|---|
| Human Expert | 74.44 | 84.33 | 78.67 | 60.33 | +33.1 |
| Claude-3.5-Sonnet | 65.78 | 72.00 | 69.67 | 55.67 | +11.4 |
| GPT-4o | 61.22 | 66.00 | 62.00 | 55.67 | +15.6 |
| Qwen-2.5-VL-72B | 60.22 | 69.33 | 61.00 | 50.33 | +9.7 |
| Gemini 1.5 Pro | 53.89 | 59.00 | 53.33 | 49.33 | +8.7 |
| Aria | 50.78 | 65.67 | 46.67 | 40.00 | +3.2 |
| Gemini 1.5 Flash | 49.78 | 57.33 | 49.00 | 43.00 | -3.3 |
| LLaVA-Video-72B | 49.67 | 59.67 | 46.00 | 43.33 | +7.1 |
| LLaVA-OneVision-72B | 48.33 | 59.67 | 42.33 | 43.00 | +6.6 |
| Qwen-2.5-VL-7B | 47.44 | 58.33 | 44.33 | 39.67 | +2.2 |
| mPLUG-Owl3-7B | 42.00 | 49.33 | 38.67 | 38.00 | +7.5 |
| MAmmoTH-VL-8B | 41.78 | 51.67 | 40.00 | 33.67 | +1.5 |
| InternVL2-8B | 37.44 | 47.33 | 33.33 | 31.67 | -8.5 |
| LLaVA-Video-7B | 36.11 | 41.67 | 33.33 | 33.33 | -5.3 |
| VILA1.5-40B | 34.00 | 38.67 | 30.67 | 32.67 | +9.4 |
| Llama-3.2-11B | 30.00 | 35.67 | 32.33 | 22.00 | - |
| LongVA-7B | 23.98 | 24.00 | 24.33 | 23.67 | -7.0 |
| VILA1.5-8B | 20.89 | 20.33 | 17.33 | 25.00 | +5.9 |
To submit your model results, please send an email to [email protected]
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