Mitigating harm in language models with conditional-likelihood filtration

Helen Ngo, Cooper Raterink, João G. M. Araújo +4

Language models trained on large-scale unfiltered datasets curated from the open web acquire systemic biases, prejudices, and harmful views from their training data. We present a m…