AIBullisharXiv – CS AI · 5h ago6/10
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DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling
Researchers introduce DyCon, a training-free framework that dynamically models task difficulty during reasoning to reduce inefficiencies in Large Reasoning Models. The method leverages step-level embeddings to control reasoning depth, achieving significant efficiency gains across multiple model sizes and benchmarks without sacrificing accuracy.