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20232026
most citedDocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

7 citations · 12 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Bin Shan, Xiang Fei, Wei Shi +6

The comprehension of text-rich visual scenes has become a focal point for evaluating Multi-modal Large Language Models (MLLMs) due to their widespread applications. Current benchma…

cs.CV2024

ParGo: Bridging Vision-Language with Partial and Global Views

An-Lan Wang, Bin Shan, Wei Shi +7

This work presents ParGo, a novel Partial-Global projector designed to connect the vision and language modalities for Multimodal Large Language Models (MLLMs). Unlike previous work…

cs.CV2024★ 1 cited

Harmonizing Visual Text Comprehension and Generation

Zhen Zhao, Jingqun Tang, Binghong Wu +7

In this work, we present TextHarmony, a unified and versatile multimodal generative model proficient in comprehending and generating visual text. Simultaneously generating images a…

cs.CL2024

A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understanding

Jinghui Lu, Haiyang Yu, Yanjie Wang +9

Recently, many studies have demonstrated that exclusively incorporating OCR-derived text and spatial layouts with large language models (LLMs) can be highly effective for document…

cs.CV2024★ 1 cited

TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy

Weichao Zhao, Hao Feng, Qi Liu +9

Tables contain factual and quantitative data accompanied by various structures and contents that pose challenges for machine comprehension. Previous methods generally design task-s…