125 citations · 326 across the 20 of their papers we have counts for
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cs.CL2023★ 1 cited
Won't Get Fooled Again: Answering Questions with False Premises
Shengding Hu, Yifan Luo, Huadong Wang +3
Pre-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 e…
cs.CL2023★ 7 cited
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan, Yangyi Chen, Ganqu Cui +6
This paper reexamines the research on out-of-distribution (OOD) robustness in the field of NLP. We find that the distribution shift settings in previous studies commonly lack adequ…