Yuan Huang

When Comments Mislead: An Empirical Study of Outdated Comments in LLM-Based Code Completion

Large language models (LLMs) are widely used for code completion, where natural-language comments serve as key contextual signals. While prior work shows that comments and natural-language descriptions can improve generation quality by providing high-level semantic guidance, their reliability in evolving codebases rema...