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Sai Madhusudan Gunda

1 accepted papers

2026

M3Grounder: Mask-Based Multi-Span and Multi-Granular Grounding for Document QA

CVPR 2026

**Document QA** requires not only accurate answers but also identifying where each answer is grounded on the page. Most models treat the task as text-only generation, while existing answer grounding methods generate coarse bounding boxes that fail to capture curved text. We introduce **M3Grounder, a

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