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Statistical physics meets LLM evaluation: mapping multi-category rater agreement onto a Potts model preserves true rubric ordinality without requiring rigid threshold or distance assumptions.
Native-language embeddings can match translation-based reliability estimates while recovering lost responses, challenging the necessity of translation in multilingual assessments.
