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cs.CL2022
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks
Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan +9
Developing methods to adversarially challenge NLP systems is a promising avenue for improving both model performance and interpretability. Here, we describe the approach of the tea…
cs.CL2022★ 1 cited
Generating Literal and Implied Subquestions to Fact-check Complex Claims
Jifan Chen, Aniruddh Sriram, Eunsol Choi +1
Verifying complex political claims is a challenging task, especially when politicians use various tactics to subtly misrepresent the facts. Automatic fact-checking systems fall sho…