A simplex geometry framework shows when LLM-as-judge rankings are identifiable, provides a basis for preferring binary over multi-level scoring, and uses Bayesian priors to model epistemic uncertainty about judges.
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LLMs Judging LLMs: A Simplex Perspective
A simplex geometry framework shows when LLM-as-judge rankings are identifiable, provides a basis for preferring binary over multi-level scoring, and uses Bayesian priors to model epistemic uncertainty about judges.