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Estrid He

2 accepted papers

2023

Effects of Human Adversarial and Affable Samples on BERT Generalization

EMNLP 2023long findings

BERT-based models have had strong performance on leaderboards, yet have been demonstrably worse in real-world settings requiring generalization. Limited quantities of training data is considered a key impediment to achieving generalizability in machine learning. In this paper, we examine the impact…

Cited by 0SourceScholar