Xiaoning Ren

Code-MUE: Measuring Code LLMs’ Uncertainty through Execution-Based Semantic Interaction Graphs

As Code Large Language Models (LLMs) become central to modern software engineering, their inherent stochasticity poses significant real-world risks, where even minor errors can lead to severe functional, security, or safety consequences. Reliable automation, therefore, demands th...