ReNFT: Repairing Mode Collapse in Reward Post-Training via Internal Probability-Mass Recalibration
ReNFT is proposed, which repairs a high-reward, low-diversity adapter through internal probability-mass recalibration through internal probability-mass recalibration, offering a complementary alternative to external interventions.
Yu-Chen Bao, Chao Wen, Haowei Wang et al.
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