4 citations · 4 across the 5 of their papers we have counts for
5 papers
From Baselines to Preferences: A Comparative Study of LoRA/QLoRA and Preference Optimization for Mental Health Text Classification
Mihael Arcan
Mental health text classification has rapidly adopted modern adaptation methods, yet practical guidance on which optimization strategy to use, when, and why remains limited. This p…
Triples and Knowledge-Infused Embeddings for Clustering and Classification of Scientific Documents
Mihael Arcan
The increasing volume and complexity of scientific literature demand robust methods for organizing and understanding research documents. In this study, we investigate whether struc…
Evaluating Large Language Models for Anxiety, Depression, and Stress Detection: Insights into Prompting Strategies and Synthetic Data
Mihael Arcan, David-Paul Niland
Mental health disorders affect over one-fifth of adults globally, yet detecting such conditions from text remains challenging due to the subtle and varied nature of symptom express…
Towards Sustainable Workplace Mental Health: A Novel Approach to Early Intervention and Support
David W. Vinson, Mihael Arcan, David-Paul Niland +1
Employee well-being is a critical concern in the contemporary workplace, as highlighted by the American Psychological Association's 2021 report, indicating that 71% of employees ex…
An Assessment on Comprehending Mental Health through Large Language Models
Mihael Arcan, David-Paul Niland, Fionn Delahunty
Mental health challenges pose considerable global burdens on individuals and communities. Recent data indicates that more than 20% of adults may encounter at least one mental disor…