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most citedBreaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis

2 citations · 5 across the 9 of their papers we have counts for

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cs.CL2024★ 2 cited

Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan +2

Large Language Models (LLMs) perpetuate social biases, reflecting prejudices in their training data and reinforcing societal stereotypes and inequalities. Our work explores the pot…

cs.CL2024

BiasDora: Exploring Hidden Biased Associations in Vision-Language Models

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan +2

Existing works examining Vision-Language Models (VLMs) for social biases predominantly focus on a limited set of documented bias associations, such as gender:profession or race:cri…