5 citations · 15 across the 31 of their papers we have counts for
11 papers · 1 filter
Us-vs-Them bias in Large Language Models
Tabia Tanzin Prama, Julia Witte Zimmerman, Christopher M. Danforth +1
This study investigates ``us versus them'' bias, as described by Social Identity Theory, in large language models (LLMs) under both default and persona-conditioned settings across…
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…
Misalignment of LLM-Generated Personas with Human Perceptions in Low-Resource Settings
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
Recent advances enable Large Language Models (LLMs) to generate AI personas, yet their lack of deep contextual, cultural, and emotional understanding poses a significant limitation…
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…
Complete asymptotic type-token relationship for growing complex systems with inverse power-law count rankings
Pablo Rosillo-Rodes, Laurent Hébert-Dufresne, Peter Sheridan Dodds
The growth dynamics of complex systems often exhibit statistical regularities involving power-law relationships. For real finite complex systems formed by countable tokens (animals…
Detecting sub-populations in online health communities: A mixed-methods exploration of breastfeeding messages in BabyCenter Birth Clubs
Calla Beauregard, Parisa Suchdev, Ashley M. A. Fehr +7
Parental stress is a nationwide health crisis according to the U.S. Surgeon General's 2024 advisory. To allay stress, expecting parents seek advice and share experiences in a varie…
Story and essential meaning dynamics in Bangladesh's July 2024 Student-People's Uprising
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
News media serves a crucial role in disseminating information and shaping public perception, especially during periods of political unrest. Using over 50,0000 YouTube comments on n…
BanglaMATH : A Bangla benchmark dataset for testing LLM mathematical reasoning at grades 6, 7, and 8
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
Large Language Models (LLMs) have tremendous potential to play a key role in supporting mathematical reasoning, with growing use in education and AI research. However, most existin…
Aim High, Stay Private: Differentially Private Synthetic Data Enables Public Release of Behavioral Health Information with High Utility
Mohsen Ghasemizade, Juniper Lovato, Christopher M. Danforth +5
Sharing health and behavioral data raises significant privacy concerns, as conventional de-identification methods are susceptible to privacy attacks. Differential Privacy (DP) prov…
A suite of allotaxonometric tools for the comparison of complex systems using rank-turbulence divergence
Jonathan St-Onge, Ashley M. A. Fehr, Carter Ward +6
Describing and comparing complex systems requires principled, theoretically grounded tools. Built around the phenomenon of type turbulence, allotaxonographs provide map-and-list vi…
One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories
Laurent Hébert-Dufresne, Yong-Yeol Ahn, Antoine Allard +15
From pathogens and computer viruses to genes and memes, contagion models have found widespread utility across the natural and social sciences. Despite their success and breadth of…