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<p>
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<!-- ArXiv -->
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<a href="https://arxiv.org/abs/
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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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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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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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