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yhwi-kwon authored Jul 8, 2024
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## Code Review

- **Improving Automated Code Reviews: Learning from Experience** (2024), MSR'24, Hong Yi Lin et al. [[pdf]](https://arxiv.org/abs/2402.03777)
- **Security Code Review by LLMs: A Deep Dive into Responses** (2024), arxiv, Yu et al. [[pdf]](https://arxiv.org/pdf/2401.16310)
- **GPT-3.5 for Code Review Automation: How Do Few-Shot Learning, Prompt Design, and Model Fine-Tuning Impact Their Performance?** (2024), arxiv, Pornprasit, C., & Tantithamthavorn, C. [[pdf]](https://arxiv.org/pdf/2402.00905)
- **Security Code Review by LLMs: A Deep Dive into Responses** (2024), arxiv, Yu et al. [[pdf]](https://arxiv.org/pdf/2401.16310)
- **Resolving Code Review Comments with Machine Learning** (2023), ICSE'24, Frömmgen, et al. [[pdf]](https://storage.googleapis.com/gweb-research2023-media/pubtools/pdf/0449374e831a796a5e88f92380c64e7e090c6dfa.pdf)
- **Team-related Features in Code Review Prediction Models** (2023), arxiv, Witter, Eduardo et al. [[pdf]](https://arxiv.org/pdf/2312.06244)
- **Unity is Strength: Cross-Task Knowledge Distillation to Improve Code Review Generation** (2023), arxiv, Sghaier et al. [[pdf]](https://arxiv.org/pdf/2309.03362)
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