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README.md
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@@ -99,7 +99,9 @@ The following hyperparameters were used during training:
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## Citing
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If you use HAT in your research, please cite
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```
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@misc{chalkidis-etal-2022-hat,
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```
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## Citing
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If you use HAT in your research, please cite:
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[An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification](https://arxiv.org/abs/2210.05529). Ilias Chalkidis, Xiang Dai, Manos Fergadiotis, Prodromos Malakasiotis, and Desmond Elliott. 2022. arXiv:2210.05529 (Preprint).
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```
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@misc{chalkidis-etal-2022-hat,
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}
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```
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