1. Bengio, Y. ; Ducharme, R. ; and Vincent, P. 2000. A neural probabilistic language model. Advances in neural information processing systems, 13.
2. Adaptive language model training for molecular design;Journal of Cheminformatics,2023
3. Born, J. ; and Manica, M. 2022. Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens. CoRR, abs/2202.01338.
4. Brown, T. B. ; Mann, B. ; Ryder, N. ; Subbiah, M. ; Kaplan, J. ; Dhariwal, P. ; et al. 2020. Language Models are Few-Shot Learners. CoRR, abs/2005.14165.
5. Cao, N. D. ; and Kipf, T. 2022. MolGAN: An implicit generative model for small molecular graphs. arXiv:1805.11973.