107 citations · 172 across the 4 of their papers we have counts for
4 papers
Language-Agnostic Suicidal Risk Detection Using Large Language Models
June-Woo Kim, Wonkyo Oh, Haram Yoon +5
Suicidal risk detection in adolescents is a critical challenge, yet existing methods rely on language-specific models, limiting scalability and generalization. This study introduce…
Domain Adversarial Training for Mitigating Gender Bias in Speech-based Mental Health Detection
June-Woo Kim, Haram Yoon, Wonkyo Oh +6
Speech-based AI models are emerging as powerful tools for detecting depression and the presence of Post-traumatic stress disorder (PTSD), offering a non-invasive and cost-effective…
MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling
Taewan Kim, Seolyeong Bae, Hyun Ah Kim +4
In the mental health domain, Large Language Models (LLMs) offer promising new opportunities, though their inherent complexity and low controllability have raised questions about th…
ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events
Woosuk Seo, Chanmo Yang, Young-Ho Kim
Children typically learn to identify and express emotions through sharing their stories and feelings with others, particularly their family. However, it is challenging for parents…