2026
CATS: Category-Aware Token-level Steering for Training-Free Redundancy Reduction in Large Reasoning Models
AAAI 2026technical
While Large Reasoning Models (LRMs) exhibit remarkable capabilities in complex tasks, they often suffer from excessive redundancy in their chain-of-thought reasoning. This significantly reduces inference efficiency and increases computational costs. We identify that LRM redundancy is not uniformly h