AI RESEARCH
CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning
arXiv CS.AI
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ArXi:2605.28742v1 Announce Type: new Language models can use verifiable rewards to improve at a wide variety of reasoning tasks. However, both parametric (e.g. RLVR) and non-parametric (e.g. prompt optimization) approaches to doing so typically require hundreds of