Formalizing LLM Creativity via Long-Tail Performance Metrics
October 8, 2026
Creativity is quantified as task-specific performance in the long tail of an input-output distribution. Using n-gram absence from pretraining data as a novelty proxy, an evaluation of 26 open-weight models across 15 benchmarks shows creativity tasks reside further in the tail than standard benchmarks.
HOW THIS AFFECTS YOU
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researcherYou can use long-tail distribution shifts to better differentiate between model intelligence and creative novelty.