activity
20232026
most citedSoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing

16 citations · 20 across the 13 of their papers we have counts for

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14 papers · 1 filter

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…

cs.SE2026

PuzzleMark: Implicit Jigsaw Learning for Robust Code Dataset Watermarking in Neural Code Completion Models

Haocheng Huang, Yuchen Chen, Weisong Sun +5

Constructing and curating high-quality code datasets requires significant resources, making them valuable intellectual property. Unfortunately, these datasets currently face severe…

cs.SE2026

Enhancing and Reporting Robustness Boundary of Neural Code Models for Intelligent Code Understanding

Tingxu Han, Wei Song, Weisong Sun +6

With the development of deep learning, Neural Code Models (NCMs) such as CodeBERT and CodeLlama are widely used for code understanding tasks, including defect detection and code cl…

cs.SE2025

Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization

Weisong Sun, Yiran Zhang, Jie Zhu +8

Commenting code is a crucial activity in software development, as it aids in facilitating future maintenance and updates. To enhance the efficiency of writing comments and reduce d…

cs.SE20251 cited

Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code Naturalness

Weisong Sun, Yuchen Chen, Mengzhe Yuan +6

Neural code models (NCMs) have demonstrated extraordinary capabilities in code intelligence tasks. Meanwhile, the security of NCMs and NCMs-based systems has garnered increasing at…

cs.SE2024

Security of Language Models for Code: A Systematic Literature Review

Yuchen Chen, Weisong Sun, Chunrong Fang +7

Language models for code (CodeLMs) have emerged as powerful tools for code-related tasks, outperforming traditional methods and standard machine learning approaches. However, these…