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

This research paper introduces 'PathCal', investigating the distinct functional roles and timing of reflection markers in Large Reasoning Language Models' Chain-of-Thought trajectories. It reveals that markers like 'wait' or 'but' differ significantly in their impact on accuracy and generation length, challenging previous coarse-grained approaches.