#uncertainty-calibration

#uncertainty-calibration

LLM hallucinations largely result from pretraining exposure and evaluation metrics that reward guessing; penalizing confident errors and rewarding uncertainty can reduce hallucinations.

Large language models hallucinate because training and evaluation reward guessing over admitting uncertainty; redesigning evaluation metrics can reduce hallucinations.