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README.md

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 # Biomedical Longformer (base)
 
-This is a derivative model based on [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract) BERT model developed in the work "Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
-" by [Gu et al. (2020)](https://arxiv.org/abs/2007.15779). All model parameters where cloned from the original model, while the positional embeddings were extended by cloning the original embeddings multiple times following [Beltagy et al. (2020)](https://arxiv.org/abs/2004.05150) using a python script similar to this one (https://github.com/allenai/longformer/blob/master/scripts/convert_model_to_long.ipynb).
+This is a derivative model based on [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract) BERT model developed in the work "Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing" by [Tinn et al. (2021)](https://arxiv.org/abs/2112.07869). All model parameters where cloned from the original model, while the positional embeddings were extended by cloning the original embeddings multiple times following [Beltagy et al. (2020)](https://arxiv.org/abs/2004.05150) using a python script similar to this one (https://github.com/allenai/longformer/blob/master/scripts/convert_model_to_long.ipynb).