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Hyesoo Kong

1 accepted papers

2026

VinQA: Visual Elements Interleaved Long-form Answer Generation for Real-World Multimodal Document QA

CVPR 2026

Real-world documents combine text with tables, charts, photographs, and diagrams arranged in diverse layouts, yet existing research on multimodal large language models (MLLMs) for document QA predominantly produces text-only responses, underutilizing these visual elements. We introduce VinQA, a data

Cited by 0SourceScholar