JokerJan/MMR-VBench
MMR-V: Can MLLMs Think with Video? A Benchmark for Multimodal Deep Reasoning in Videos π Paper | π» Code | π Homepage π MMR-V Data Card ("Think with Video") The sequential structure of videos poses a challenge to the ability of multimodal large language models (MLLMs) to locate multi-frame evidenceπ΅οΈ and conduct multimodal reasoning. However, existing video benchmarks mainly focus on understanding tasks, which only require models toβ¦ See the full description on the dataset page: https://huggingface.co/datasets/JokerJan/MMR-VBench.
| Author / organization | JokerJan |
|---|---|
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 17 |
| Created | 31 March 2025 |
| Last updated at source | 1 July 2025 |
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- 16 Oct 2026 Description: MMR-V: Can MLLMs Think with Video? A Benchmark for Multimodal Deep Reasoning in Videos π Paper | π» Code | π Homepage π MMR-V Data Card ("Think with Video") The sequential structure of videos poses a challenge to the ability of multimoda β MMR-V: Can MLLMs Think with Video? A Benchmark for Multimodal Deep Reasoning in Videos π Paper | π» Code | π Homepage π MMR-V Data Card ("Think with Video") The sequential structure of videos poses a challenge to the ability of multimoda
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