JEV-as-a-Judge: Accept When Confident, Escalate When Unsure
A decision-only JEV judge nearly matches a top LLM judge at a fraction of the cost.
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A decision-only JEV judge nearly matches a top LLM judge at a fraction of the cost.
ImpossibleRubrics benchmark shows LLM-generated rubric reward signals are exploited 8-26% of the time by adversarial answers on impossible tasks.

Amazon ICML paper uses Ising models to correct correlated LLM-judge votes, beating accuracy-weighted panels by 9-14%.
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