5 citations · 7 across the 26 of their papers we have counts for
5 papers · 1 filter
Self-reported archetypes and behavioral failures in Large Language Models
Tabia Tanzin Prama, Calla Glavin Beauregard, Christopher M. Danforth +1
Every large language model (LLM) has behavioral traits and moral preferences that comprise its character. Whether by design or as an emergent property of training, these systems ex…
Statistical laws and linguistics differ in naturalistic video and fictional conversations
Ashley M. A. Fehr, Calla G. Beauregard, Julia Witte Zimmerman +4
Conversation is a cornerstone of social connection and is linked to well-being outcomes. Conversations vary widely in type with some portion generating complex, dynamic stories. On…
LLMs for Low-Resource Dialect Translation Using Context-Aware Prompting: A Case Study on Sylheti
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
Large Language Models (LLMs) have demonstrated strong translation abilities through prompting, even without task-specific training. However, their effectiveness in dialectal and lo…
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…
Computational Paremiology: Charting the temporal, ecological dynamics of proverb use in books, news articles, and tweets
E. Davis, C. M. Danforth, W. Mieder +1
Proverbs are an essential component of language and culture, and though much attention has been paid to their history and currency, there has been comparatively little quantitative…