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Found 3 papers, 2 papers with code
AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions
In this paper, we demonstrate the usefulness of this AGent pipeline by creating two sets of unanswerable questions from answerable questions in SQuAD and HotpotQA.
Single-Sentence Reader: A Novel Approach for Addressing Answer Position Bias
Machine Reading Comprehension (MRC) models tend to take advantage of spurious correlations (also known as dataset bias or annotation artifacts in the research community).
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models
Pretrained language models have achieved super-human performances on many Machine Reading Comprehension (MRC) benchmarks.
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