The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety

In three linesarXiv paper on homogenization in LLMs: models reproduce and amplify human biases through mode collapse. Authors propose a framework to characterize homogenization in terms of normativity (queer theory) and introduce 'xeno-reproduction' as a mitigation strategy promoting diversity. Experiment on Claude 3.5 Haiku demonstrates gender bias.

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