11 citations · 30 across the 6 of their papers we have counts for
6 papers
MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media
Wei Zhai, Nan Bai, Qing Zhao +7
As the prevalence of mental health challenges, social media has emerged as a key platform for individuals to express their emotions.Deep learning tends to be a promising solution f…
A Generic Review of Integrating Artificial Intelligence in Cognitive Behavioral Therapy
Meng Jiang, Qing Zhao, Jianqiang Li +6
Cognitive Behavioral Therapy (CBT) is a well-established intervention for mitigating psychological issues by modifying maladaptive cognitive and behavioral patterns. However, deliv…
AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts
Meng Jiang, Yi Jing Yu, Qing Zhao +8
Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational thoughts stemming from mental illnesses, but it necessitates precise identification of co…
Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis
Wei Zhai, Hongzhi Qi, Qing Zhao +5
In the current environment, psychological issues are prevalent and widespread, with social media serving as a key outlet for individuals to share their feelings. This results in th…
Towards a Psychological Generalist AI: A Survey of Current Applications of Large Language Models and Future Prospects
Tianyu He, Guanghui Fu, Yijing Yu +8
The complexity of psychological principles underscore a significant societal challenge, given the vast social implications of psychological problems. Bridging the gap between under…
Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media
Hongzhi Qi, Qing Zhao, Jianqiang Li +9
On social media, users often express their personal feelings, which may exhibit cognitive distortions or even suicidal tendencies on certain specific topics. Early recognition of t…