Update README.md

README.md

@@ -32,4 +32,8 @@ We have fine-tuned the model on the DocVQA [2] dataset, far surpassing the curre
 Please refer to the Colab workbook or the blog post to learn more!
 
 ### Get in touch
-Reach out to [borys.nadykto@bynesoft.com](mailto:borys.nadykto@bynesoft.com) if you'd like help with deploying the model in commerical setting.
+Reach out to [borys.nadykto@bynesoft.com](mailto:borys.nadykto@bynesoft.com) if you'd like help with deploying the model in commerical setting.
+
+[1] Xu, Y., Li, M., Cui, L., Huang, S., Wei, F., & Zhou, M. (2020). LayoutLM: Pre-training of Text and Layout for Document Image Understanding. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1192-1200).
+[2] Mathew, M., Karatzas, D., & Jawahar, C. V. (2021). DocVQA: A Dataset for VQA on Document Images. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2200-2209).
+[3] Reimers, N., & Gurevych, I. (2019). Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) (pp. 3982-3992).