An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration.

arXiv:2605.18648v2 Announce Type: replace-cross Abstract: Central to human-aligned AI is understanding the benefits of human-elicited labels over synthetic alternatives. While human soft-labels improve calibration by capturing uncertainty, prior studies confla