Enhancing Mental Health Classification with Layer-Attentive Residuals and Contrastive Feature Learning

ArXi:2603.14075v1 Announce Type: new The classification of mental health is challenging for a variety of reasons. For one, there is overlap between the mental health issues. In addition, the signs of mental health issues depend on the context of the situation, making classification difficult. Although fine-tuning transformers has improved the performance for mental health classification, standard cross-entropy