Why Are LLMs Confidently Wrong? Correcting Overconfident Errors via Causal Head Intervention.

arXiv:2610.34994v1 Announce Type: new Abstract: Modern large language models (LLMs) often exhibit overconfident errors, assigning high confidence to incorrect predictions and thereby undermining reliability in real-world use. Existing calibration methods typic