5 citations · 6 across the 3 of their papers we have counts for
3 papers
Are Prompt-based Models Clueless?
Pride Kavumba, Ryo Takahashi, Yusuke Oda
Finetuning large pre-trained language models with a task-specific head has advanced the state-of-the-art on many natural language understanding benchmarks. However, models with a t…
Learning to Learn to be Right for the Right Reasons
Pride Kavumba, Benjamin Heinzerling, Ana Brassard +1
Improving model generalization on held-out data is one of the core objectives in commonsense reasoning. Recent work has shown that models trained on the dataset with superficial cu…
When Choosing Plausible Alternatives, Clever Hans can be Clever
Pride Kavumba, Naoya Inoue, Benjamin Heinzerling +3
Pretrained language models, such as BERT and RoBERTa, have shown large improvements in the commonsense reasoning benchmark COPA. However, recent work found that many improvements i…