The Role of Ambiguity in Error Prediction via Uncertainty Quantification 事件

The Role of Ambiguity in Error Prediction via Uncertainty Quantification arXiv:2606.02093v1 Announce Type: new Abstract: The task of Error Prediction, namely predicting whether a model output is correct, is commonly tackled with Uncertainty Quantification (UQ). However, while uncertainty metrics capture when models lack knowledge or capacity to make a prediction, they also reflect aleatoric uncertainty, which is inherent in the model input and context. This paper presents a method for improving