1. Large language models show human-like content biases in transmission chain experiments
2. Few-shot training LLMs for project-specific code-summarization
3. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.
4. Detecting Code Comment Inconsistency using Siamese Recurrent Network
5. Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019. Language models are unsupervised multitask learners. OpenAI blog, 1, 8 (2019), 9.