visual-attention

Faithful-MR1 is a training framework that improves faithful multimodal reasoning in MLLMs by anchoring visual attention via a <Focus> token and reinforcing faithful use through counterfactual image intervention. It outperforms baselines on Qwen2.5-VL backbones with less training data.