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Sagan

Paper

PathCal: State-Aware Reflection-Marker Calibration for Efficient Reasoning

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AI summary

arXiv:2605. 23074v1 Announce Type: new Abstract: The emergence of Large Reasoning Language Models (LRMs) has paved the way for tackling complex reasoning tasks through test-time scaling by generating long-form Chain-of-Thought (CoT) trajectories during inference.