This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4)
research, state-of-the-art large language models (LLM) from the GPT series, and their …

Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …

Large Vision-Language Models (LVLMs) have recently played a dominant role in
multimodal vision-language learning. Despite the great success, it lacks a holistic evaluation …

Vision Language Models (VLMs), which extend Large Language Models (LLM) by
incorporating visual understanding capability, have demonstrated significant advancements …

Understanding document images (eg, invoices) is a core but challenging task since it
requires complex functions such as reading text and a holistic understanding of the …

Recently leveraging large language models (LLMs) or multimodal large language models
(MLLMs) for document understanding has been proven very promising. However previous …

We present TextMonkey, a large multimodal model (LMM) tailored for text-centric tasks. Our
approach introduces enhancement across several dimensions: By adopting Shifted Window …

Large Vision-Language Models (LVLMs) show significant strides in general-purpose
multimodal applications such as visual dialogue and embodied navigation. However …

We present DocFormer-a multi-modal transformer based architecture for the task of Visual
Document Understanding (VDU). VDU is a challenging problem which aims to understand …

Pre-training of text and layout has proved effective in a variety of visually-rich document
understanding tasks due to its effective model architecture and the advantage of large-scale …