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Evaluating Document-Tuned Transformer Representations for Person-level Mental Health Assessment
Aaron Marker, Oscar Kjell, Vasudha Varadarajan +1
Person-level psychological assessment requires aggregating meaning across many messages from the same individual, a task that document-level training objectives were not explicitly…
MAQuA: Adaptive Question-Asking for Multidimensional Mental Health Screening using Item Response Theory
Vasudha Varadarajan, Hui Xu, Rebecca Astrid Boehme +3
Recent advances in large language models (LLMs) offer new opportunities for scalable, interactive mental health assessment, but excessive querying by LLMs burdens users and is inef…
Explaining GPTs' Schema of Depression: A Machine Behavior Analysis
Adithya V Ganesan, Vasudha Varadarajan, Yash Kumar Lal +9
Use of large language models such as ChatGPT (GPT-4/GPT-5) for mental health support has grown rapidly, emerging as a promising route to assess and help people with mood disorders…
Capturing Human Cognitive Styles with Language: Towards an Experimental Evaluation Paradigm
Vasudha Varadarajan, Syeda Mahwish, Xiaoran Liu +4
While NLP models often seek to capture cognitive states via language, the validity of predicted states is determined by comparing them to annotations created without access the cog…
ALBA: Adaptive Language-based Assessments for Mental Health
Vasudha Varadarajan, Sverker Sikström, Oscar N. E. Kjell +1
Mental health issues differ widely among individuals, with varied signs and symptoms. Recently, language-based assessments have shown promise in capturing this diversity, but they…