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cs.SE2026
Understanding before Naming! Enhancing LLM-based Method Name Prediction with Code Summarization
Wei Liu, Weisong Sun, Tingting Xu +4
Method names are critical to software quality, affecting code comprehensibility, maintainability, and developer collaboration. However, manually designing meaningful method names i…
cs.SE2026
Probing Privacy Leaks in LLM-based Code Generation via Test Generation
Yifei Ge, Zhenpeng Chen, Weisong Sun +7
The widespread availability of large-scale code datasets has fueled the rapid development of large language models (LLMs) for code-related tasks. These datasets may include sensiti…