material ID: falseqa

Related Papers

Won’t Get Fooled Again: Answering Questions with False Premises

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractPre-trained language models (PLMs) have shown unprecedented potential in various fields, especially as the backbones for question-answering (QA) systems. However, they tend to be easily deceived by tricky questions such …...

38550