Latest AI and machine learning research in clinical trials for healthcare professionals.
Vision-Language Models (VLMs) exhibit impressive performance, yet the integration of powerful visi...
Traffic signal control (TSC) is a core challenge in urban mobility, where real-time decisions must...
The emergence of large language models (LLMs) enables the development of intelligent agents capabl...
Text-to-image (T2I) generation models can inadvertently produce not-safe-for-work (NSFW) content, ...
Large language models (LLMs) typically generate identical or similar responses for all users given...
Computing education and computing students are rapidly integrating generative AI, but we know rela...
Dataset distillation (DD) has witnessed significant progress in creating small datasets that encap...
Large language models (LLMs) have demonstrated remarkable capabilities across a wide range of task...
Large Language Model (LLM)-based agents are increasingly deployed in real-world applications such ...
In the era of rapid generative AI development, interactions between humans and large language mode...
Human safety awareness gaps often prevent the timely recognition of everyday risks. In solving thi...
Diffusion models have emerged as leading generative models for images and other modalities, but al...
BACKGROUND: General awareness and exposure to generative artificial intelligence (AI) have increased...
Randomized clinical trials often require large patient cohorts before drawing definitive conclusio...
Large vision-language models (VLMs) are highly vulnerable to jailbreak attacks that exploit visual...
While the safety risks of image-based large language models have been extensively studied, their v...
When applying offline reinforcement learning (RL) in healthcare scenarios, the out-of-distribution...
BACKGROUND: Exercise therapy is strongly recommended as a treatment for chronic nonspecific low back...
BACKGROUND: The English National Health Service (NHS) strives for a fair, diverse, and inclusive wor...
College students are increasingly affected by stress, anxiety, and depression, yet face barriers t...
Large language models require iterative updates to address challenges such as knowledge conflicts ...