Zhi-Hao Guo

Harnessing Uncertainty in Code Language Models: Lessons from Vulnerability Detection

Code Language Models (CLMs) are increasingly adopted for vulnerability detection, yet knowing when to trust their predictions remains an open challenge. Uncertainty estimation has improved reliability in traditional discriminative models, but whether these benefits transfer to the generative paradigm of CLMs is unclear...