4 citations · 6 across the 3 of their papers we have counts for
3 papers
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
Johannes Mario Meissner, Saku Sugawara, Akiko Aizawa
Debiasing language models from unwanted behaviors in Natural Language Understanding tasks is a topic with rapidly increasing interest in the NLP community. Spurious statistical cor…
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension
Xanh Ho, Johannes Mario Meissner, Saku Sugawara +1
The issue of shortcut learning is widely known in NLP and has been an important research focus in recent years. Unintended correlations in the data enable models to easily solve ta…
Embracing Ambiguity: Shifting the Training Target of NLI Models
Johannes Mario Meissner, Napat Thumwanit, Saku Sugawara +1
Natural Language Inference (NLI) datasets contain examples with highly ambiguous labels. While many research works do not pay much attention to this fact, several recent efforts ha…