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Collaborative Reasoning Distillation via Cross-Feedback and Coherent Curation

Kim, Taehoon et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learning
Reasoning capabilities are critical for advancing Large Language Models, yet current approaches either require massive computational budgets or struggle to effectively distill reasoning to smaller models. Standard distillation methods rely on outcome-based rewards, failing to distinguish between sou
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