Papers with deeper understanding of nuanced social stereotypes

1 papers
Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis (2024.emnlp-main)

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Challenge: Existing methods to quantify social stereotypes have struggled to capture the variability in stereotypes across conceptual domains for the same social group.
Approach: They propose to use text embedding models and adaptive semantic axes to recover stereotypes from contextual representations by using large language models.
Outcome: The proposed pipeline surpasses token-based methods in capturing in-domain framing and tracks stereotypes along domain-specific semantic axes for in- domain texts.

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