FutureX Solutions

```html Revolutionizing Document Understanding with High-Resolution DocCompressor In our daily lives, we frequently encounter multi-page documents and news videos that require comprehension. To effectively address these challenges, Multimodal Large Language Models (MLLMs) must possess the capability to interpret various images enriched with visually-situated textual information. However, understanding document images presents greater difficulties compared to natural images due to the need for a more nuanced perception of text recognition. The Challenge of Document Image Comprehension Researchers have explored numerous strategies to enhance the understanding of document images. Some approaches involve integrating high-resolution encoders designed to capture intricate text details within these documents. Others opt for segmenting high-resolution images into lower-resolution sub-images, allowing MLLMs to analyze their interrelations. Despite achieving commendable results, these...