Panagiotis Kaliosis, Adithya V Ganesan, Oscar N. E. Kjell, Whitney Ringwald, Scott Feltman, Melissa A. Carr, Dimitris Samaras, Camilo Ruggero, Benjamin J. Luft, Roman Kotov, Andrew H. Schwartz
The study evaluates large language models for PTSD severity estimation, finding that detailed contextual knowledge and strategic modeling significantly enhance accuracy.
Researchers are using advanced language processing models to assess mental health conditions like PTSD by analyzing text narratives. This study examined how different factors, such as providing detailed background information and varying modeling techniques, affect the accuracy of these models. They found that the models work best when given clear definitions and contexts, and when more reasoning is applied. Combining different models also improved results, highlighting the importance of strategic setup when using these tools for mental health evaluation.
