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Interpretable Stereotype Identification through Reasoning
Given that language models are trained on vast datasets that may contain inherent biases, there is a potential danger of inadvertently perpetuating systemic discrimination.
Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting?
As the breadth and depth of language model applications continue to expand rapidly, it is increasingly important to build efficient frameworks for measuring and mitigating the learned or inherited social biases of these models.
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