Unlocking the Pre-Trained Model as a Dual-Alignment Calibrator for Post-Trained LLMs

Beier Luo, Cheng Wang, Hongxin Wei +2

Post-training improves large language models (LLMs) but often worsens confidence calibration, leading to systematic overconfidence. Recent unsupervised post-hoc methods for post-tr…