Jiawei Jiang

Large Reasoning Models (LRMs) have achieved remarkable success on complex tasks by generating detailed Chain-of-Thought (CoT) reasoning. However, they tend to apply a uniform, computation-intensive deep reasoning strategy to all problems, leading to unnecessary overhead on simple tasks. This sign...

Reasoning is fundamental to human intelligence and critical for problem-solving. In practice, answering complex questions often requires abundant reasoning steps involving long reasoning paths. Existing multi-hop reasoning methods mainly focus on short-hop questions with only short reasoning path...