add resources

utils/resources.txt

@@ -1,6 +1,6 @@
 - 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).
+- 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).