AI RESEARCH
PReMISE: Policy Rubrics as Measurement Specifications for LLM Judges
arXiv CS.AI
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ArXi:2605.30803v1 Announce Type: new LLM judges are increasingly used to evaluate open-ended responses, but their scores depend strongly on the rubrics that condition them. A vague rubric asking for a response to be ``helpful and factual'' can reward polished answers that invent facts or violate user intent. We treat reusable rubrics as measurement specifications: changing the rubric changes the response quality measurement induced by a fixed judge. We