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@@ -120,3 +120,21 @@ Training and evaluation of Bioformer-8L is supported by the Google TPU Research
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  If you have any questions, please submit an issue here: https://github.com/WGLab/bioformer/issues
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  You can also send an email to Li Fang (fangli9@mail.sysu.edu.cn, https://fangli80.github.io/).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  If you have any questions, please submit an issue here: https://github.com/WGLab/bioformer/issues
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  You can also send an email to Li Fang (fangli9@mail.sysu.edu.cn, https://fangli80.github.io/).
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+ ## Citation
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+ You can cite our preprint on arXiv:
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+ Fang L, Chen Q, Wei C-H, Lu Z, Wang K: Bioformer: an efficient transformer language model for biomedical text mining. arXiv preprint arXiv:2302.01588 (2023). DOI: https://doi.org/10.48550/arXiv.2302.01588
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+ BibTeX format:
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+ ```
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+ @ARTICLE{fangli2023bioformer,
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+ author = {{Fang}, Li and {Chen}, Qingyu and {Wei}, Chih-Hsuan and {Lu}, Zhiyong and {Wang}, Kai},
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+ title = "{Bioformer: an efficient transformer language model for biomedical text mining}",
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+ journal = {arXiv preprint arXiv:2302.01588},
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+ year = {2023}
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+ }
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+ ```