Language Models (LMs) have demonstrated exceptional performance across various
Natural Language Processing (NLP) tasks. Despite these advancements, LMs can inherit …

Generalist vision language models (VLMs) have made significant strides in computer vision,
but they fall short in specialized fields like healthcare, where expert knowledge is essential …

With the rapid growth in sensor data, effectively interpreting and interfacing with these data
in a human-understandable way has become crucial. While existing research primarily …

Healthcare systems worldwide face persistent challenges in efficiency, accessibility, and
personalization. Powered by modern AI technologies such as multimodal large language …

Losing track of reading progress during line switching can be frustrating. Eye gaze tracking
technology offers a potential solution by highlighting read paragraphs, aiding users in …

Researchers have long recognized the socio-technical gaps in personal tracking research,
where machines can never fully model the complexity of human behavior, making it only …

Mental health disorders are among the most prevalent diseases worldwide, affecting nearly
one in four people. Despite their widespread impact, the intervention rate remains below …

Despite the extensive use of sensors enabling intelligent applications, the complementary
potential of co-existing sensor systems is often not fully utilized, limiting more advanced …

Social interactions are fundamental to human life. The recent emergence of large language
models (LLMs)-based virtual assistants has demonstrated their potential to revolutionize …

Recent research has demonstrated the capability of physiological signals to infer both user
emotional and attention responses. This presents an opportunity for leveraging widely …