Hence, the learned model behaves more like a question language model with some loose context constraint, while it is unaware of the strong requirements that it should be closely grounded by the context and should be answered by the given answer.
these works either reduced the ground-truth data size or simplified the span-prediction QA task to answer sentence selection.