نسخة أولية وصول مفتوح
SupportCal: Label-Free Calibration of Post-Trained LLMs via Reference Support and Corroboration
Post-training often improves task performance but can degrade confidence calibration, leaving post-trained language models (PoLMs) more overconfident than their corresponding pretrained language models (PLMs). Because task-specific labeled calibration data can be costly or unavailable, the corresponding PLM provides a …