"JEV-as-a-Judge: Accept When Confident, Escalate When Unsure"
This paper shows you can just use JEV for every evaluation instead of expensive LLM.
JEV basically acts as a cheap first-pass judge, returning both a verdict and how confident it is.
When confidence is high, keep the answer. When it’s low, escalate to a stronger LLM.
This simple routing keeps ~99% of GPT-6’s accuracy while reducing evaluation cost by a lot.
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