Large models represent a groundbreaking advancement in multiple application fields,
enabling remarkable achievements across various tasks. However, their unprecedented …

This paper presents an in-depth study of ChatGPT, a state-of-the-art language model that is
revolutionizing generative text. We provide a comprehensive analysis of its architecture …

Large language models (LLMs) have recently demonstrated their potential in clinical
applications, providing valuable medical knowledge and advice. For example, a large dialog …

The automatic generation of radiology reports has the potential to assist radiologists in the
time-consuming task of report writing. Existing methods generate the full report from image …

Abstract Contrastive Vision-Language Pre-training, known as CLIP, has provided a new
paradigm for learning visual representations using large-scale image-text pairs. It shows …

This monograph surveys vision-language pre-training (VLP) methods for multimodal
intelligence that have been developed in the last few years. We group these approaches …

The exploration of multimodal language models integrates multiple data types, such as
images, text, language, audio, and other heterogeneity. While the latest large language …

Recent breakthroughs in text-to-4D generation rely on pre-trained text-to-image and text-to-
video models to generate dynamic 3D scenes. However current text-to-4D methods face a …

In clinical scenarios, multi-specialist consultation could significantly benefit the diagnosis,
especially for intricate cases. This inspires us to explore a" multi-expert joint diagnosis" …

Contrastive Vision-Language Pre-training, known as CLIP, has provided a new paradigm for
learning visual representations by using large-scale contrastive image-text pairs. It shows …