8 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…
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…
When Support Escalates Distress: Regulation and Escalation in LLM Responses to Venting and Advice-Seeking
Vivienne Bihe Chi, Adithya V Ganesan, Ryan L Boyd +2
Large language models are increasingly used for mental health support, yet little is known about whether their responses are psychologically safe across different help-seeking styl…
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…
Idiosyncratic Versus Normative Modeling of Atypical Speech Recognition: Dysarthric Case Studies
Vishnu Raja, Adithya V Ganesan, Anand Syamkumar +2
State-of-the-art automatic speech recognition (ASR) models like Whisper, perform poorly on atypical speech, such as that produced by individuals with dysarthria. Past works for aty…
Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety
Siddharth Mangalik, Ojas Deshpande, Adithya V. Ganesan +2
Estimating community-specific mental health effects of local events is vital for public health policy. While forecasting mental health scores alone offers limited insights into the…