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@@ -35,12 +35,12 @@ We present the dev results on SQuAD 1.1/2.0 and several GLUE benchmark tasks.
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  If you find DeBERTa useful for your work, please cite the following paper:
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  ``` latex
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- @misc{he2020deberta,
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- title={DeBERTa: Decoding-enhanced BERT with Disentangled Attention},
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- author={Pengcheng He and Xiaodong Liu and Jianfeng Gao and Weizhu Chen},
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- year={2020},
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- eprint={2006.03654},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL}
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- }
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  ```
 
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  If you find DeBERTa useful for your work, please cite the following paper:
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  ``` latex
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+ @inproceedings{
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+ he2021deberta,
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+ title={{\{}DEBERTA{\}}: {\{}DECODING{\}}-{\{}ENHANCED{\}} {\{}BERT{\}} {\{}WITH{\}} {\{}DISENTANGLED{\}} {\{}ATTENTION{\}}},
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+ author={Pengcheng He and Xiaodong Liu and Jianfeng Gao and Weizhu Chen},
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+ booktitle={International Conference on Learning Representations},
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+ year={2021},
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+ url={https://openreview.net/forum?id=XPZIaotutsD}
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+ }
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  ```