AI RESEARCH
Before and After Temperature: A Distributional View of Creative LLM Generation
arXiv CS.CL
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ArXi:2606.01451v1 Announce Type: new Reference-free evaluation of large language model (LLM) creativity relies on perplexity, entropy, and top-1 margin. We show that a much stronger signal lives one step earlier in the pipeline: in how sampling temperature \emph{reshapes} the model's token distribution before the next token is drawn.