UnAnswGen: A Systematic Approach for Generating Unanswerable Questions in Machine Reading Comprehension
H Moradisani, F Zarrinkalam, J Serbanescu… - Proceedings of the …, 2024 - dl.acm.org
This paper introduces a configurable software workflow to automatically generate and
publicly share a dataset of multi-labeled unanswerable questions for Machine Reading …
publicly share a dataset of multi-labeled unanswerable questions for Machine Reading …
Syn-QA2: Evaluating False Assumptions in Long-tail Questions with Synthetic QA Datasets
A Daswani, R Sawant, N Kim - arXiv preprint arXiv:2403.12145, 2024 - arxiv.org
Sensitivity to false assumptions (or false premises) in information-seeking questions is
critical for robust question-answering (QA) systems. Recent work has shown that false …
critical for robust question-answering (QA) systems. Recent work has shown that false …