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Found 5 papers, 1 papers with code
Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task
Pretrained language models are publicly available and constantly finetuned for various real-life applications.
Gender Bias in BERT -- Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task
Pretrained language models are publicly available and constantly finetuned for various real-life applications.
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
That is, we show that these norms can be captured geometrically by a direction, which can be computed, e. g., by a PCA, in the embedding space, reflecting well the agreement of phrases to social norms implicitly expressed in the training texts and providing a path for attenuating or even preventing toxic degeneration in LMs.
BERT has a Moral Compass: Improvements of ethical and moral values of machines
But has BERT also a better moral compass?
Soft Locality Preserving Map (SLPM) for Facial Expression Recognition
Furthermore, the proposed feature-generation method can improve the generalizability of the underlying manifolds for facial expression recognition.
