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@@ -98,3 +98,15 @@ print(processor.tokenizer.batch_decode(output_ids, skip_special_tokens=True))
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  ## License / Terms of Use
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  The model is released under the [NVIDIA OneWay Noncommercial License](asset/NVIDIA_OneWay_Noncommercial_License.docx).
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  ## License / Terms of Use
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  The model is released under the [NVIDIA OneWay Noncommercial License](asset/NVIDIA_OneWay_Noncommercial_License.docx).
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+ ## Citation
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+ Please consider to cite our paper and this framework, if they are helpful in your research.
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+
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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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+