1 citations · 1 across the 6 of their papers we have counts for
8 papers
Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning
Julia Witte Zimmerman, Denis Hudon, Kathryn Cramer +9
Tokenization is a necessary component within the current architecture of many language mod-els, including the transformer-based large language models (LLMs) of Generative AI, yet i…
Ousiometrics: The essence of meaning aligns with a power-danger-structure framework instead of valence-arousal-dominance
P. S. Dodds, T. Alshaabi, M. I. Fudolig +7
From work emerging through the middle of the 20th century, the essence of meaning has become widely accepted as being described by the three orthogonal dimensions of valence, arous…
Gender Disparities in LLM-Based Intimate Partner Violence Detection
Tabia Tanzin Prama, Mikaela Irene Fudolig, Abigail M. Crocker +2
Intimate Partner Violence (IPV) is a major public health concern, and large language models (LLMs) are increasingly used for support and information-seeking in sensitive domains. W…
A Formative Study of Brief Affective Text as a Complement to Wearable Sensing for Longitudinal Student Health Monitoring
Tamunotonye Harry, Johanna Hidalgo, Matthew Price +7
Wearable devices capture physiological and behavioral data with increasing fidelity, but the psychological context shaping these outcomes is difficult to recover from sensor data a…
Taste for Privacy: How Context, Identity, and Lived-Experience Shape Information Sharing Preferences
Juniper Lovato, Laurent Hébert-Dufresne, Mohsen Ghasemizade +6
Privacy preferences are not fixed individual traits, they depend on context and lived experiences. In this study, we analyze 2,912 survey responses from 782 college students collec…
Identifying Body Composition Measures That Correlate with Self-Compassion and Social Support
Enerson Poon, Mikaela Irene Fudolig, Johanna E. Hidalgo +8
This study explores the relationship between body composition metrics, self-compassion, and social support among college students. Using seasonal body composition data from the InB…