AI RESEARCH
CODA: Difficulty-Aware Compute Allocation for Adaptive Reasoning
arXiv CS.CL
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ArXi:2603.08659v1 Announce Type: new The emergence of large reasoning models nstrates that scaling inference-time compute significantly enhances performance on complex tasks. However, it often falls into another trap: overthinking simple problems, where repetitive rationales yield minimal accuracy gains at a disproportionately high cost. This motivates adaptive reasoning: dynamically aligning reasoning depth with instance difficulty.