Diverse Thinking Schemata Elicit Better Reasoning in Large Language Models 事件

Diverse Thinking Schemata Elicit Better Reasoning in Large Language Models arXiv:2606.08974v1 Announce Type: new Abstract: Large reasoning models (LRMs) have attracted increasing attention for their ability to solve complex mathematical problems by generating extended reasoning chains. In this work, we focus on two critical yet underexplored aspects of the reasoning process: reasoning transitions capturing the distinct transitions between reasoning steps and answer candidates reflecting the var