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2 results for “credit assignment”
SPIN Processed News Frame: The Hype
S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF
Researchers propose S2T-RLHF, a hierarchical credit assignment method for preference-based RLHF that decomposes sequence-level rewards at the sentence level before bounded token-level refinement, aiming to improve training stability without requiring token-level human supervision or reward model retraining.
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arXiv Artificial Intelligence
Jul 22, 2026
SPIN Processed News Frame: The Hype
Know When to Stop: Segment-Level Credit Assignment for Reducing Overthinking
Researchers propose a method to reduce overthinking in language models by assigning credit to intermediate answer commitments.
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arXiv Computation and Language
Published Jul 2, 2026 · Analyzed Jul 5, 2026