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cs.CV2026
Learning to Look Again: Loss-Gap Supervision for Free-form Crop Routing in Vision-Language Models
Jinchang Zhu, Rong Fu, Yi Ding +3
Vision-language models (VLMs) fail many detail-centric questions for a concrete reason: the answer is visible in the image, yet lost after the image is compressed into a low-resolu…
cs.CV2026
Mema: Memory-Augmented Adapter for Enhanced Vision-Language Understanding
Ying Liu, Yudong Han, Kean Shi +1
Multimodal Large Language Models (MLLMs) have achieved remarkable performance by aligning pretrained visual representations with the linguistic knowledge embedded in Large Language…
cs.CV2026
MeDocVL: A Visual Language Model for Medical Document Understanding and Parsing
Wenjie Wang, Wei Wu, Ying Liu +10
Medical document OCR is challenging due to complex layouts, domain-specific terminology, and noisy annotations, while requiring strict field-level exact matching. Existing OCR syst…