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@@ -103,10 +103,10 @@ The model is released under the [NVIDIA OneWay Noncommercial License](asset/NVID
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  Please consider to cite our paper and this framework, if they are helpful in your research.
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  ```bibtex
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- @article{omnivinci2025,
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- title={OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM},
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- author={Hanrong Ye, Chao-Han Huck Yang, Arushi Goel, Wei Huang, Ligeng Zhu, Yuanhang Su, Sean Lin, An-Chieh Cheng, Zhen Wan, Jinchuan Tian, Yuming Lou, Dong Yang, Zhijian Liu, Yukang Chen, Ambrish Dantrey, Ehsan Jahangiri, Sreyan Ghosh, Daguang Xu, Ehsan Hosseini-Asl, Danial Mohseni Taheri, Vidya Murali, Sifei Liu, Jason Lu, Oluwatobi Olabiyi, Frank Wang, Rafael Valle, Bryan Catanzaro, Andrew Tao, Song Han, Jan Kautz, Hongxu Yin, Pavlo Molchanov},
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- journal={arXiv},
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- year={2025},
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  }
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  ```
 
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  Please consider to cite our paper and this framework, if they are helpful in your research.
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  ```bibtex
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+ @article{ye2025omnivinci,
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+ title={OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM},
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+ author={Ye, Hanrong and Yang, Chao-Han Huck and Goel, Arushi and Huang, Wei and Zhu, Ligeng and Su, Yuanhang and Lin, Sean and Cheng, An-Chieh and Wan, Zhen and Tian, Jinchuan and others},
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+ journal={arXiv preprint arXiv:2510.15870},
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+ year={2025}
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  }
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  ```