CARE: Contrastive Anchor-based Rubric Evolution for Large Language Model Post-Training
CARE is proposed, which grounds every rubric evolution step in a high-quality anchor response generated by a frontier model conditioned on the prompt and its rubrics, enabling two complementary mechanisms: an Adaptive branch that reactively repairs reward misspecification; and a Chase branch that proactively converts f...
Si-Yuan Li, Xin-Xin Song, Rui-Nian Chen et al.
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