Measuring Code LLMs' Uncertainty

SIGNAL ANALYSIS

Code LLMs are central to software engineering, but their stochasticity poses real-world risks. Code-MUE measures uncertainty through execution-based semantic interaction graphs, revealing most models can't predict their own errors. If your code pipeline leans on a model that can't say when it's wrong, you don't actually know what it'll do.