CriterAlign adapts rubric-based judging to pairwise code preference prediction via criterion-level judgments, tie-driven refinement, swap-consistency filtering, and HPAG guidance, raising accuracy from 60.4% to 66.3% on BigCodeReward.
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CriterAlign: Criterion-Centric Rationale Alignment for Code Preference Judging
CriterAlign adapts rubric-based judging to pairwise code preference prediction via criterion-level judgments, tie-driven refinement, swap-consistency filtering, and HPAG guidance, raising accuracy from 60.4% to 66.3% on BigCodeReward.