Preprint
Jul 2026
Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models
It is suggested that models possess relevant subpopulation knowledge but do not reliably propagate it into aggregate estimates, and this gap establishes statistical self-consistency as an unsaturated, reference-free criterion for evaluating LLMs.
Patrik Wolf, Thomas Kleine Buening, Andreas Krause et al.
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