5 papers
Active Feature Acquisition for Cost-Efficient Temporal Prediction with Reduced Participant Burden
Yunni Qu, Bing Cai Kok, Whitney Ringwald +4
Accurate forecasting of pathological outcomes is a central problem in psychology. To do so, psychologists often collect intensive longitudinal data. However, in such studies, the d…
Relaxed Efficient Acquisition of Context and Temporal Features
Yunni Qu, Dzung Dinh, Grant King +5
In many biomedical applications, measurements are not freely available at inference time: each laboratory test, imaging modality, or assessment incurs financial cost, time burden,…
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…
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…
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…