Modern deep neural networks, particularly recent large language models, come with
massive model sizes that require significant computational and storage resources. To …

The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …

Abstract We present the ShareGPT4Video series, aiming to facilitate the video
understanding of large video-language models (LVLMs) and the video generation of text-to …

Deep learning, which has exhibited considerable potential and effectiveness in forest
resource assessment, is vital for comprehending and managing forest resources and …

The recent introduction of Diffusion Transformers (DiTs) has demonstrated exceptional
capabilities in image generation by using a different backbone architecture, departing from …

Diffusion models have demonstrated empirical successes in various applications and can
be adapted to task-specific needs via guidance. This paper studies a form of gradient …

Diffusion models, a powerful and universal generative AI technology, have achieved
tremendous success in computer vision, audio, reinforcement learning, and computational …

Importance Large language models (LLMs) can assist in various health care activities, but
current evaluation approaches may not adequately identify the most useful application …

Fine-tuning visual models has been widely shown promising performance on many
downstream visual tasks. With the surprising development of pre-trained visual foundation …

Generative models hold promise for revolutionizing medical education, robot-assisted
surgery, and data augmentation for machine learning. Despite progress in generating 2D …