Papers › Understanding Long Videos with Multimodal Language Models
Understanding Long Videos with Multimodal Language Models
Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo
Large Language Models (LLMs) have allowed recent LLM-based approaches to achieve excellent performance on long-video understanding benchmarks. We investigate how extensive world knowledge and strong reasoning skills of underlying LLMs influence this strong performance. Surprisingly, we discover that LLM-based approaches can yield surprisingly good accuracy on long-video tasks with limited video information, sometimes even with no video specific information. Building on this, we exploring injecting video-specific information into an LLM-based framework. We utilize off-the-shelf vision tools to extract three object-centric information modalities from videos and then leverage natural language as a medium for fusing this information. Our resulting Multimodal Video Understanding (MVU) framework demonstrates state-of-the-art performance across multiple video understanding benchmarks. Strong performance also on robotics domain tasks establish its strong generality. Our code will be released publicly.
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Code
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Code Syntology ran Syntology
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Zero-Shot Video Question Answer | EgoSchema (fullset) | MVU (13B) | Accuracy | 37.6 | #21 of 29 | Archive leaderboard | report |
| Zero-Shot Video Question Answer | EgoSchema (subset) | MVU (13B) | Accuracy | 60.3 | #8 of 14 | Archive leaderboard | report |
| Zero-Shot Video Question Answer | EgoSchema (subset) | MVU (13B) | Inference Speed (s) | 2.42 | #8 of 14 | Archive leaderboard | report |
| Zero-Shot Video Question Answer | NExT-QA | MVU (13B) | Accuracy | 55.2 | #24 of 27 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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