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 …

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 …

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

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 …

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 …

Large models have recently played a dominant role in natural language processing and
multimodal vision-language learning. However, their effectiveness in text-related visual …

In this work, we present DocPedia, a novel large multimodal model (LMM) for versatile OCR-
free document understanding, capable of parsing images up to 2560× 2560 resolution …

Key information extraction (KIE) from document images requires understanding the
contextual and spatial semantics of texts in two-dimensional (2D) space. Many recent …