4 papers
Focus on What Matters: Fisher-Guided Adaptive Multimodal Fusion for Vulnerability Detection
Yun Bian, Yi Chen, HaiQuan Wang +2
Software vulnerability detection can be formulated as a binary classification problem that determines whether a given code snippet contains security defects. Existing multimodal me…
SCAFFOLD-CEGIS: Preventing Latent Security Degradation in LLM-Driven Iterative Code Refinement
Yi Chen, Yun Bian, Haiquan Wang +2
The application of large language models to code generation has evolved from one-shot generation to iterative refinement, yet the evolution of security throughout iteration remains…
Building Software by Rolling the Dice: A Qualitative Study of Vibe Coding
Yi-Hung Chou, Boyuan Jiang, Yi Wen Chen +4
Large language models (LLMs) are reshaping software engineering by enabling "vibe coding," in which developers build software primarily through prompts rather than writing code. Al…
GovRelBench:A Benchmark for Government Domain Relevance
Haiquan Wang, Yi Chen, Shang Zeng +2
Current evaluations of LLMs in the government domain primarily focus on safety considerations in specific scenarios, while the assessment of the models' own core capabilities, part…