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cs.CV2024
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective
Xinmiao Yu, Xiaocheng Feng, Yun Li +10
Recent Large Vision-Language Models (LVLMs) have shown promising reasoning capabilities on text-rich images from charts, tables, and documents. However, the abundant text within su…
cs.CV2024
TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Ya-Qi Yu, Minghui Liao, Jiwen Zhang +1
Reading dense text and locating objects within images are fundamental abilities for Large Vision-Language Models (LVLMs) tasked with advanced jobs. Previous LVLMs, including superi…
cs.CV2024★ 2 cited
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models
Ya-Qi Yu, Minghui Liao, Jihao Wu +3
Multimodal Large Language Models (MLLMs) have shown impressive results on various multimodal tasks. However, most existing MLLMs are not well suited for document-oriented tasks, wh…