Single-Pass Uncertainty Heads for Claim-Level Hallucination Detection in Persian Medical Language Models
Hallucination detection is particularly important for medical language models, but repeated-sampling approaches are computationally expensive. A faster alternative is a single-pass uncertainty head that predicts hallucination risk from a frozen generator's internal signals. Existing uncertainty heads consume backbone-s...