The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

Large AI models, or foundation models, are models recently emerging with massive scales
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …

The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

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

Multi-Modal Large Language Models (MLLMs), despite being successful, exhibit limited
generality and often fall short when compared to specialized models. Recently, LLM-based …

The rapid advancement of Large AI Models (LAIMs), particularly diffusion models and large
language models, has marked a new era where AI-generated multimedia is increasingly …

Music recommendation for videos attracts growing interest in multi-modal research.
However existing systems focus primarily on content compatibility often ignoring the users' …

Medical images and radiology reports are essential for physicians to diagnose medical
conditions. However, the vast diversity and cross-source heterogeneity inherent in these …

Embodied intelligence empowers agents with a profound sense of perception, enabling
them to respond in a manner closely aligned with real-world situations. Large Language …

Large language models (LLMs) have had a significant impact on diverse research domains,
including medicine and healthcare. However, the potential of LLMs as copilots in medical …