Multi-Dimensional Comparative Scale Construction for Efficient Personalized Subjective Judgment in High-Traffic Applications
This work proposes SubJudge, a System One model for personalized scoring with Batchwise Preference Optimization (BPO), a pairwise comparative framework for multi-dimensional scale construction that combines sparse Elo comparisons with multi-judge voting and optimized both offline scale construction and online inference...