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MiG-NJU
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MiG-NJU
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The model was fine-tuned full-parameter using LLaMA-Factory.
For detailed training and evaluation instructions, please refer to the official OmniVideo-100K GitHub repository.
If you find this work useful, please cite our paper:
bibtex
@article{cai2026omnivideo100k, title={OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains}, author={Cai, Xinyue suicide and Fu, Chaoyou and Zhang, Yi-Fan and He, Ran and Shan, Caifeng}, journal={arXiv preprint arXiv:2606.14702}, year={2026}}