6 papers
From Word Sequences to Behavioral Sequences: Adapting Modeling and Evaluation Paradigms for Longitudinal NLP
Adithya V Ganesan, Vasudha Varadarajan, Oscar NE Kjell +6
While NLP typically treats documents as independent and unordered samples, in longitudinal studies, this assumption rarely holds: documents are nested within authors and ordered in…
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…
A Systematic Evaluation of Large Language Models for PTSD Severity Estimation: The Role of Contextual Knowledge and Modeling Strategies
Panagiotis Kaliosis, Adithya V Ganesan, Oscar N. E. Kjell +8
Large language models (LLMs) are increasingly being used in a zero-shot (generative) fashion to assess mental health conditions, yet we have limited knowledge on what factors affec…
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…
WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning
Rajath Rao, Adithya Ganesan, Oscar Kjell +10
Current speech encoding pipelines often rely on an additional text-based LM to get robust representations of human communication, even though SotA speech-to-text models often have…
PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health
Huy Vu, Huy Anh Nguyen, Adithya V Ganesan +8
Artificial intelligence-based language generators are now a part of most people's lives. However, by default, they tend to generate "average" language without reflecting the ways i…