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Standard accuracy flatters all ten models the authors evaluate and reorders their ranking, and prompting fixes that look effective largely vanish under paired scoring.
LLM-as-a-judge scales evaluation, but reasoning judges are slow and costly. We study JEV-as-a-Judge: evaluation with JEV, a decision-only judge that returns label probabilities instead of text, and whose confidence decides whether to accept its verdict or escalate to a reasoning judge. Against sixteen generative and re...
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