Jae-Yun Jun

Attention Maps Know When to Think: Training-Free Difficulty-Aware Chain-of-Thought for Reasoning Segmentation

Difficulty-Aware Chain-of-Thought (DA-CoT), a training-free adaptive framework that selectively triggers CoT based on the input's intrinsic difficulty, is proposed, finding that the entropy of the model's attention maps reliably reflects task difficulty: low entropy indicates confident, localized grounding, while high...