utils/resources.txt

- Natural Language Processing with Transformers [(Tunstall et al., 2022)](https://www.oreilly.com/library/view/natural-language-processing/9781098103231/).
- Evaluating large language models trained on code [(Chen et al., 2021)](https://arxiv.org/abs/2107.03374).
- Competition-Level Code Generation with AlphaCode [(Li et al., 2022)](https://arxiv.org/abs/2203.07814).
- InCoder: A Generative Model for Code Infilling and Synthesis [(Fried et al., 2022)](https://arxiv.org/abs/2204.05999).
- A Conversational Paradigm for Program Synthesis [(Nijkamp et al. 2022)](https://arxiv.org/abs/2203.13474).
- A systematic evaluation of large language models of code [(Xu et al. 2022)](https://arxiv.org/abs/2202.13169).