Hongxi Yan

ENTROCUT: ENTROPY-GUIDED ADAPTIVE TRUNCATION FOR EFFICIENT CHAIN-OF-THOUGHT REASONING IN SMALL-SCALE LARGE REASONING MODELS

Large Reasoning Models (LRMs) excel at complex reasoning tasks through extended chain-of-thought generation, but their reliance on lengthy intermediate steps incurs substantial computational cost. We find that the entropy of the model's output distribution in early reasoning steps reliably distingui…