XConf: Confidence Estimation via Accumulated Model Experience

XConf moves beyond inspecting current inference probabilities by estimating confidence through a model's recorded history of graded past episodes. This approach includes task context, reflections, and outcomes to provide more calibrated uncertainty estimates.