This comprehensive review delves into the pivotal role of prompt engineering in unleashing
the capabilities of Large Language Models (LLMs). The development of Artificial Intelligence …

Medical vision-language models (VLMs) combine computer vision (CV) and natural
language processing (NLP) to analyze visual and textual medical data. Our paper reviews …

ChatMOF is an artificial intelligence (AI) system that is built to predict and generate metal-
organic frameworks (MOFs). By leveraging a large-scale language model (GPT-4, GPT-3.5 …

The applications of Vision-Language Models (VLMs) in the field of Autonomous Driving (AD)
have attracted widespread attention due to their outstanding performance and the ability to …

Building general-purpose robots that operate seamlessly in any environment, with any
object, and utilizing various skills to complete diverse tasks has been a long-standing goal in …

Diffusion-based text-to-image generative models eg Stable Diffusion have revolutionized the
field of content generation enabling significant advancements in areas like image editing …

Text-to-image generative models can generate high-quality humans but realism is lost when
generating hands. Common artifacts include irregular hand poses shapes incorrect numbers …

Diffusion-based models have gained significant popularity for text-to-image generation due
to their exceptional image-generation capabilities. A risk with these models is the potential …

Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training
paradigm, successfully introduces text supervision to vision models. It has shown promising …

Foundation models, large-scale, pre-trained deep-learning models adapted to a wide range
of downstream tasks have gained significant interest lately in various deep-learning …