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News/S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF
arxiv
PublishedJuly 22, 2026 at 4:00 AM
—neutral

S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF

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arXiv:2607.18258v1 Announce Type: new Abstract: Reinforcement learning from human feedback (RLHF) with preference-based reward models often exhibits unstable training dynamics. A key contributing factor is that standard RLHF relies on a single sequence-level scalar reward, which is propagated to tok

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