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Found 5 papers, 2 papers with code
Large Language Models Perform on Par with Experts Identifying Mental Health Factors in Adolescent Online Forums
Mental health in children and adolescents has been steadily deteriorating over the past few years.
Bespoke Large Language Models for Digital Triage Assistance in Mental Health Care
The ability to efficiently recommend a relevant team by ingesting potentially voluminous clinical notes could help services both reduce referral waiting times and with the right technology, improve the evidence available to justify triage decisions.
STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network
The rise of social media platforms has led to an increase in polarised online discussions, especially on political and socio-cultural topics such as elections and climate change.
Detecting the Clinical Features of Difficult-to-Treat Depression using Synthetic Data from Large Language Models
Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive perspective on a person's depressive disorder where despite treatment, they continue to experience significant burden.
Not wacky vs. definitely wacky: A study of scalar adverbs in pretrained language models
In such models, words that are similar in their topical associations but differ in their logical force tend to emerge as semantically close, creating well-known challenges for NLP applications that involve logical reasoning.
