2 papers
cs.CR2026
Poster: Rethinking Security in LLM Code Generation through Real-World Risk Scenarios
Lixun Ma, Ruolong Ma, Bei Wang +4
Large Language Models (LLMs) are widely used for code generation, yet their security behavior in realistic development workflows remains underexplored. Existing benchmarks often re…
cs.SE2025
Refactoring Deep Learning Code: A Study of Practices and Unsatisfied Tool Needs
Siqi Wang, Xing Hu, Bei Wang +3
With the rapid development of deep learning, the implementation of intricate algorithms and substantial data processing have become standard elements of deep learning projects. As…