The integration of large language models (LLMs) in mental health care is an emerging field.
There is a need to systematically review the application outcomes and delineate the …

Suicide is among the 10 most common causes of death, as assessed by the World Health
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …

Advances in large language models (LLMs) have empowered a variety of applications.
However, there is still a significant gap in research when it comes to understanding and …

As an integral part of people's daily lives, social media is becoming a rich source for
automatic mental health analysis. As traditional discriminative methods bear poor …

Mental health is a critical issue in modern society, and mental disorders could sometimes
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …

Recently, there has been an increased interest in demographically grounded bias in natural
language processing (NLP) applications. Much of the recent work has focused on describing …

The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …

Recent advancements in artificial intelligence, particularly with the emergence of large
language models (LLMs), have sparked a rethinking of artificial general intelligence …

The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in
automated mental health analysis. However, existing relevant studies bear several …

Depression, the most prevalent mental illness, is underdiagnosed and undertreated,
highlighting the need to extend the scope of current screening methods. Here, we use …