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@@ -23,4 +23,30 @@ The mathematical pretraining dataset includes mathematical code accompanied with
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  ### Evaluation
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65dd9e7b4a4fce1ec96dc6b7/BEZoDZLjp-fPFlt7oFXBa.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Evaluation
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65dd9e7b4a4fce1ec96dc6b7/BEZoDZLjp-fPFlt7oFXBa.png)
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+
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+ ### Citation
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+
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+ If you find this repository helpful, please consider citing our papers:
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+
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+ ```
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+ @misc{lu2024mathcoder2bettermathreasoning,
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+ title={MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code},
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+ author={Zimu Lu and Aojun Zhou and Ke Wang and Houxing Ren and Weikang Shi and Junting Pan and Mingjie Zhan and Hongsheng Li},
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+ year={2024},
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+ eprint={2410.08196},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2410.08196},
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+ }
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+ ```
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+ ```
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+ @inproceedings{
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+ wang2024mathcoder,
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+ title={MathCoder: Seamless Code Integration in {LLM}s for Enhanced Mathematical Reasoning},
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+ author={Zimu Lu and Aojun Zhou and Zimu Lu and Sichun Luo and Weikang Shi and Renrui Zhang and Linqi Song and Mingjie Zhan and Hongsheng Li},
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+ booktitle={The Twelfth International Conference on Learning Representations},
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+ year={2024},
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+ url={https://openreview.net/forum?id=z8TW0ttBPp}
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+ }
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+ ```