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  <p>
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  <!-- ArXiv -->
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- <a href="https://arxiv.org/abs/XXXX.XXXXX">
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  <img src="https://img.shields.io/badge/NotaGen_Paper-ArXiv-%23B31B1B?logo=arxiv&logoColor=white" alt="Paper">
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  </a>
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  &nbsp;&nbsp;
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  For implementation of pre-training, fine-tuning and reinforcement learning on NotaGen, please view our [github page](https://github.com/ElectricAlexis/NotaGen).
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  <p>
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  <!-- ArXiv -->
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+ <a href="https://arxiv.org/abs/2502.18008">
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  <img src="https://img.shields.io/badge/NotaGen_Paper-ArXiv-%23B31B1B?logo=arxiv&logoColor=white" alt="Paper">
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  </a>
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  &nbsp;&nbsp;
 
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  For implementation of pre-training, fine-tuning and reinforcement learning on NotaGen, please view our [github page](https://github.com/ElectricAlexis/NotaGen).
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+ ## 📚 Citation
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+ If you find **NotaGen** or **CLaMP-DPO** useful in your work, please cite our paper.
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+ ```bibtex
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+ @misc{wang2025notagenadvancingmusicalitysymbolic,
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+ title={NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms},
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+ author={Yashan Wang and Shangda Wu and Jianhuai Hu and Xingjian Du and Yueqi Peng and Yongxin Huang and Shuai Fan and Xiaobing Li and Feng Yu and Maosong Sun},
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+ year={2025},
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+ eprint={2502.18008},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.SD},
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+ url={https://arxiv.org/abs/2502.18008},
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+ }
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