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@@ -6,7 +6,7 @@ base_model:
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  # FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement
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  <p align="center">
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- &nbsp&nbsp📊 <a href="https://huggingface.co/Bingguang/FunReason">Dataset(Coming)</a>&nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/Bingguang/FunReason">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://huggingface.co/Bingguang/FunReason">Paper(Coming)</a> &nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://huggingface.co/Bingguang/FunReason">Blog(Coming)</a> &nbsp&nbsp | &nbsp&nbsp📖 <a href="https://github.com/BingguangHao/FunReason">Github</a>
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  </p>
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  > [!IMPORTANT]
@@ -39,6 +39,8 @@ The integration of large language models (LLMs) with function calling has emerge
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  ```md
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  @article{FunReason,
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  title={FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement},
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- author={Bingguang Hao, Maolin Wang, Zengzhuang Xu, Cunyin Peng, Yicheng Chen, Xiangyu Zhao, Jinjie Gu, Chenyi Zhuang}
 
 
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  }
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  ```
 
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  # FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement
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  <p align="center">
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+ &nbsp&nbsp📊 <a href="https://huggingface.co/Bingguang/FunReason">Dataset(Coming)</a>&nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/Bingguang/FunReason">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://arxiv.org/pdf/2505.20192">Paper</a> &nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://huggingface.co/Bingguang/FunReason">Blog(Coming)</a> &nbsp&nbsp | &nbsp&nbsp📖 <a href="https://github.com/BingguangHao/FunReason">Github</a>
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  </p>
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  > [!IMPORTANT]
 
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  ```md
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  @article{FunReason,
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  title={FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data Refinement},
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+ author={Bingguang Hao, Maolin Wang, Zengzhuang Xu, Cunyin Peng, Yicheng Chen, Xiangyu Zhao, Jinjie Gu, Chenyi Zhuang},
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+ journal={arXiv preprint arXiv:2505.20192},
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+ year={2025}
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  }
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  ```