1. [1] Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L. and Polosukhin, I.: Attention Is All You Need, CoRR, Vol.abs/1706.03762 (2017) (online), available from <http://arxiv.org/abs/1706.03762>.
2. [2] Wu, Y., Schuster, M., Chen, Z., Le, Q.V., Norouzi, M., Macherey, W., Krikun, M., Cao, Y., Gao, Q., Macherey, K., et al.: Google's neural machine translation system: Bridging the gap between human and machine translation, arXiv preprint arXiv:1609.08144 (2016).
3. [3] Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al.: Language models are unsupervised multitask learners, OpenAI blog, Vol.1, No.8, p.9 (2019).
4. [4] Brown, T.B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.: Language models are few-shot learners, arXiv preprint arXiv:2005.14165 (2020).
5. [5] Yin, P., Deng, B., Chen, E., Vasilescu, B. and Neubig, G.: Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow, Proc. 15th International Conference on Mining Software Repositories, MSR '18, pp.476-486, Association for Computing Machinery (online), DOI: 10.1145/3196398.3196408 (2018).