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Aug 2026
Distribution-Value Coevolution for Adaptive RLHF Data Scheduling
Reinforcement learning from human feedback (RLHF) has become the cornerstone of aligning large language models (LLMs) with human intent. Yet a fundamental question remains unaddressed: how should training data be scheduled when both the model's capabilities and the utility of data are constantly evolving? Current pipel...
Zairun Yang, Yanbo Yang, Chenyi Zhou et al.
· Proceedings of the 32nd ACM... · 0 citations