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@@ -27,10 +27,11 @@ SciMult is pre-trained on the following data:
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  ## Citation
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  If you find SciMult useful in your research, please cite the following paper:
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  ```
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- @article{zhang2023pre,
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  title={Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding},
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  author={Zhang, Yu and Cheng, Hao and Shen, Zhihong and Liu, Xiaodong and Wang, Ye-Yi and Gao, Jianfeng},
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- journal={arXiv preprint arXiv:2305.14232},
 
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  year={2023}
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  }
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  ```
 
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  ## Citation
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  If you find SciMult useful in your research, please cite the following paper:
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  ```
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+ @inproceedings{zhang2023pre,
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  title={Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding},
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  author={Zhang, Yu and Cheng, Hao and Shen, Zhihong and Liu, Xiaodong and Wang, Ye-Yi and Gao, Jianfeng},
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+ booktitle={Findings of EMNLP'23},
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+ pages={12259--12275},
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  year={2023}
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  }
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  ```