Uncertainty calibration

Technique · Safety & Alignment · 1 item since Jul 2026

Training models so their stated confidence matches how often they are right.

Items

  1. Jul 3

    RLMF trains on metacognitive feedback

    Reinforcement learning on a model's own self-judgments aligns expressed with intrinsic uncertainty, reaching state-of-the-art faithful calibration and beating standard RL by up to 63% without losing accuracy.