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Binarization Flattens the Score Space

arXiv cs.LG ↗ · 2026-09-30 Cached

This paper formalizes how collapsing LLM-judge rubric rewards to binary pass/fail hides criterion-level quality changes from the policy's reward signal, showing under a joint-Gaussian model that at least three grading levels are needed to remove this ambiguity, with experiments on MATH and SciBench confirming that binary stretches are invisible but detectable with three grades.

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