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G^2RA-Net is proposed, a medical image segmentation framework that combines graph-based cross-slice relation modeling with atten- tion gating that outperforms representative methods in accuracy and boundary quality.
Grounded reasoning in educational VQA can boost accuracy by over 2.5% when leveraging structured pedagogical cues.
