10 citations · 14 across the 4 of their papers we have counts for
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cs.CL2022★ 10 cited
Undesirable Biases in NLP: Addressing Challenges of Measurement
Oskar van der Wal, Dominik Bachmann, Alina Leidinger +3
As Large Language Models and Natural Language Processing (NLP) technology rapidly develop and spread into daily life, it becomes crucial to anticipate how their use could harm peop…
cs.CL2022★ 2 cited
The Birth of Bias: A case study on the evolution of gender bias in an English language model
Oskar van der Wal, Jaap Jumelet, Katrin Schulz +1
Detecting and mitigating harmful biases in modern language models are widely recognized as crucial, open problems. In this paper, we take a step back and investigate how language m…