CURE: Context-and Uncertainty-Aware Mental Disorder Detection

M Kang, G Choi, H Jeon, JH An, D Choi… - Proceedings of the …, 2024 - aclanthology.org
As the explainability of mental disorder detection models has become important, symptom-
based methods that predict disorders from identified symptoms have been widely utilized …

Towards Reliable and Empathetic Depression-Diagnosis-Oriented Chats

K Lan, C Ming, B Yao, L Chen, M Wu - arXiv preprint arXiv:2404.05012, 2024 - arxiv.org
Chatbots can serve as a viable tool for preliminary depression diagnosis via interactive
conversations with potential patients. Nevertheless, the blend of task-oriented and chit-chat …

Self-Knowledge Distillation for Learning Ambiguity

H Park, S Jeong, S Cho, JC Park - arXiv preprint arXiv:2406.09719, 2024 - arxiv.org
Recent language models have shown remarkable performance on natural language
understanding (NLU) tasks. However, they are often sub-optimal when faced with …

AI for Defence: Readiness, Resilience and Mental Health

SE Middleton, D Leightley, P Hinton… - The RUSI …, 2024 - Taylor & Francis
AI is a cross-cutting technology that is having a major impact on behavioural analysis in both
the defence and mental health domains. Employing AI well may boost the readiness and …