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--- |
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license: bsd-3-clause |
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pipeline_tag: video-text-to-text |
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--- |
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# VideoMind-2B-FT-QVHighlights |
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<div style="display: flex; gap: 5px;"> |
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<a href="https://arxiv.org/abs/2503.13444" target="_blank"><img src="https://img.shields.io/badge/arXiv-2503.13444-red"></a> |
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<a href="https://videomind.github.io/" target="_blank"><img src="https://img.shields.io/badge/Project-Page-brightgreen"></a> |
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<a href="https://github.com/yeliudev/VideoMind/blob/main/README.md" target="_blank"><img src="https://img.shields.io/badge/License-BSD--3--Clause-purple"></a> |
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<a href="https://github.com/yeliudev/VideoMind" target="_blank"><img src="https://img.shields.io/github/stars/yeliudev/VideoMind"></a> |
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</div> |
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VideoMind is a multi-modal agent framework that enhances video reasoning by emulating *human-like* processes, such as *breaking down tasks*, *localizing and verifying moments*, and *synthesizing answers*. |
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## 🔖 Model Details |
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### Model Description |
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- **Model type:** Multi-modal Large Language Model |
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- **Language(s):** English |
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- **License:** BSD-3-Clause |
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### More Details |
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Please refer to our [GitHub Repository](https://github.com/yeliudev/VideoMind) for more details about this model. |
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## 📖 Citation |
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Please kindly cite our paper if you find this project helpful. |
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``` |
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@article{liu2025videomind, |
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title={VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning}, |
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author={Liu, Ye and Lin, Kevin Qinghong and Chen, Chang Wen and Shou, Mike Zheng}, |
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journal={arXiv preprint arXiv:2503.13444}, |
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year={2025} |
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} |
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``` |
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