3 papers
cs.CL2026
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…
cs.CL2026
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…
cs.CL2025
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…