Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking.

arXiv:2610.17767v1 Announce Type: cross Abstract: Large reasoning models (LRMs) achieve strong performance by externalizing explicit reasoning traces before producing the answer, yet suffer from overthinking challenge that allocates uniformly heavy computation