Mentalbert: Publicly available pretrained language models for mental healthcare

S Ji, T Zhang, L Ansari, J Fu, P Tiwari… - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

Large language models in mental health care: a scoping review

Y Hua, F Liu, K Yang, Z Li, Y Sheu, P Zhou… - arXiv preprint arXiv …, 2024 - arxiv.org
Objective: The growing use of large language models (LLMs) stimulates a need for a
comprehensive review of their applications and outcomes in mental health care contexts …

[HTML][HTML] A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media

K Yang, T Zhang, S Ananiadou - Information Processing & Management, 2022 - Elsevier
Stress and depression detection on social media aim at the analysis of stress and
identification of depression tendency from social media posts, which provide assistance for …

Towards interpretable mental health analysis with large language models

K Yang, S Ji, T Zhang, Q Xie, Z Kuang… - arXiv preprint arXiv …, 2023 - arxiv.org
The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in
automated mental health analysis. However, existing relevant studies bear several …

MentaLLaMA: interpretable mental health analysis on social media with large language models

K Yang, T Zhang, Z Kuang, Q Xie, J Huang… - Proceedings of the …, 2024 - dl.acm.org
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 …

Chatgpt's one-year anniversary: are open-source large language models catching up?

H Chen, F Jiao, X Li, C Qin, M Ravaut, R Zhao… - arXiv preprint arXiv …, 2023 - arxiv.org
Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of
AI, both in research and commerce. Through instruction-tuning a large language model …

Mental-llm: Leveraging large language models for mental health prediction via online text data

X Xu, B Yao, Y Dong, S Gabriel, H Yu… - Proceedings of the …, 2024 - dl.acm.org
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 …

AI for social science and social science of AI: A survey

R Xu, Y Sun, M Ren, S Guo, R Pan, H Lin, L Sun… - Information Processing …, 2024 - Elsevier
Recent advancements in artificial intelligence, particularly with the emergence of large
language models (LLMs), have sparked a rethinking of artificial general intelligence …

[HTML][HTML] CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts

R Lamsal, MR Read, S Karunasekera - Knowledge-Based Systems, 2024 - Elsevier
Social media platforms play an essential role in crisis communication, but analysing crisis-
related social media texts is challenging due to their informal nature. Transformer-based pre …

Transformer-based language models for mental health issues: a survey

CM Greco, A Simeri, A Tagarelli, E Zumpano - Pattern Recognition Letters, 2023 - Elsevier
Early identification and prevention of mental health stresses and their outcomes has become
of urgent importance worldwide. To this purpose, artificial intelligence provides a body of …