Update README.md

README.md

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 ### Model Specifications
 - **Maximum Sequence Length**: 512 tokens
-- **Output Dimensionality**: 512 tokens
 - **Language**: Primarily focused on **Vietnamese** legal texts.
 - **License**: Apache-2.0 License
 
+
+@inproceedings{zaib-2021-bert-coqac,
+  title = "BERT-CoQAC: BERT-based Conversational Question Answering in Context",
+  author = "Zaib, Munazza and Tran, Dai Hoang and Sagar, Subhash and Mahmood, Adnan and Zhang, Wei E. and Sheng, Quan Z.",
+  booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
+  month = "4",
+  year = "2021",
+  publisher = "Association for Computational Linguistics",
+  url = "https://arxiv.org/abs/2104.11394",
+  doi = "10.48550/arXiv.2104.11394"
+}
+
+@article{devlin-2018-bert,
+  title = "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding",
+  author = "Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina",
+  journal = "arXiv:1810.04805",
+  year = "2018",
+  url = "https://arxiv.org/abs/1810.04805",
+  doi = "10.48550/arXiv.1810.04805"
+}
+
 ## Usage
 
 This model is suitable for applications in legal domains, such as: