The paper formalizes homogenization in LLMs as a loss of deviance and core entropy, and proposes xeno-reproduction—a structure-aware diversity-pursuit objective—with a proof that diversity and fairness trade off.
Active di- vergence with generative deep learning– a survey and taxonomy
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The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety
The paper formalizes homogenization in LLMs as a loss of deviance and core entropy, and proposes xeno-reproduction—a structure-aware diversity-pursuit objective—with a proof that diversity and fairness trade off.