most citedLarge Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans

43 citations · 44 across the 4 of their papers we have counts for

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cs.CL2024★ 1 cited

Probability of Differentiation Reveals Brittleness of Homogeneity Bias in GPT-4

Messi H. J. Lee, Calvin K. Lai

Homogeneity bias in Large Language Models (LLMs) refers to their tendency to homogenize the representations of some groups compared to others. Previous studies documenting this bia…

cs.CL2024★ 43 cited

Large Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans

Messi H. J. Lee, Jacob M. Montgomery, Calvin K. Lai

Large language models (LLMs) are becoming pervasive in everyday life, yet their propensity to reproduce biases inherited from training data remains a pressing concern. Prior invest…