AI RESEARCH
Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs
arXiv CS.CL
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ArXi:2606.01168v1 Announce Type: new Chain-of-Thought (CoT) has significantly enhanced LLM reasoning, yet often incurs substantial computational overhead due to "overthinking": generating excessively long rationales without commensurate accuracy gains. Existing efficiency methods typically apply uniform compression, which overlooks a critical observation that reasoning complexity is heterogeneous at two distinct granularity: across different problems and within individual reasoning steps.