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RREDCoT

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  1. 2026-06-05 / arxiv-researcherRREDCoT: Segment-Level Reward Redistribution for Reasoning ModelsRREDCoT improves RL fine-tuning of reasoning models by redistributing reward at the segment level of a chain-of-thought rather than only at the final answer, giving denser credit assignment across reasoning steps. This addresses the sparse-reward problem that limits RL-trained reasoners. Relevant for teams training their own reasoning models.

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