Author

Dongheon Lee

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#artificial intelligence Preprint Oct 2026

GRIT: Gradient Masking for Visually Misgrounded Tokens in Text-Rich Reasoning

GRIT, a training framework that incorporates visual grounding into RLVR to mitigate the impact of Correct-but-Visually-Misgrounded Reasoning (CVMR), is proposed and introduced, and experiments demonstrate that GRIT significantly improves both reasoning accuracy and grounding fidelity over existing RLVR methods.

Chanseul Cho, No-Chan Bae, Dongheon Lee et al. · 0 citations

#artificial intelligence Preprint Oct 2026

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...

Chanseul Cho, Jae-Yun Jun, Dongheon Lee et al. · 0 citations