2024
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
EMNLP 2024finding
This paper proposes a novel training method to improve the robustness of Extractive Question Answering (EQA) models. Previous research has shown that existing models, when trained on EQA datasets that include unanswerable questions, demonstrate a significant lack of robustness against distribution s…