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@@ -153,4 +153,30 @@ Results for all models except `Arithmo-Mistral-7B` are taken from [MetaMath](htt
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  | MetaMath-70B | **82.3** | **26.6** |
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- If you are interested in reproducing the resullts, visit https://github.com/akjindal53244/Arithmo-Mistral-7B#reproducing-results section.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | MetaMath-70B | **82.3** | **26.6** |
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+ If you are interested in reproducing the resullts, visit https://github.com/akjindal53244/Arithmo-Mistral-7B#reproducing-results section.
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+ <h2 id="References">References</h2>
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+
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+ ```
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+ @article{yu2023metamath,
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+ title={MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models},
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+ author={Yu, Longhui and Jiang, Weisen and Shi, Han and Yu, Jincheng and Liu, Zhengying and Zhang, Yu and Kwok, James T and Li, Zhenguo and Weller, Adrian and Liu, Weiyang},
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+ journal={arXiv preprint arXiv:2309.12284},
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+ year={2023}
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+ }
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+
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+ @article{Yue2023mammoth,
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+ title={MAmmoTH: Building math generalist models through hybrid instruction tuning},
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+ author={Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, and Wenhu Chen},
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+ journal={arXiv preprint arXiv:2309.05653},
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+ year={2023}
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+ }
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+
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+ @article{mishra2022lila,
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+ title={Lila: A unified benchmark for mathematical reasoning},
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+ author={Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, and Ashwin Kalyan},
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+ journal={arXiv preprint arXiv:2210.17517},
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+ year={2022}
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+ }
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+
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+ ```