1 citations · 1 across the 15 of their papers we have counts for
19 papers
Contextuality and Contradictions: Exploring Real-World Identifications of AI-Generated Writing
Michelle Morgenstern, Julia Witte Zimmerman, Tabia Tanzin Prama +5
As AI-generated content spreads into nearly every domain of human interaction, practices and discourses of AI detection, both formal and informal, have become an everyday part of h…
Localized, unstable, and entangled: Exploring `Us vs. Them' bias in Large Language Models
Tabia Tanzin Prama, Julia Witte Zimmerman, Christopher M. Danforth +1
Large language models (LLMs) exhibit us-vs.-them bias: A behavioral asymmetry in which prompts framed around an ingroup (``we''/``us'') receive systematically more positive continu…
LLMs are not stochastic parrots: Evidence for meaning-mediated abstraction from conlang-like tasks
Julia Witte Zimmerman, Calla G. Beauregard, Tabia Tanzin Prama +3
The strong version of the stochastic parrot argument claims that, although large language models (LLMs) may exceed rote regurgitation, they cannot move beyond statistical pattern m…
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…
Archetypometrics of 'Friends'
Shun Zhang, Tabia Tanzin Prama, Christopher M. Danforth +1
Storytelling inherently revolves around characters. Using the television sitcom `Friends' as a case study, we investigate how well archetype vectors capture both individual charact…
Buffy versus Bella: An archetypometric analysis and comparison
Calla Glavin Beauregard, Julia Witte Zimmerman, Ashley M. A. Fehr +6
Fictional stories and characters embody and encode social norms, and their study is a powerful tool through which to understand culture and society. Vampire stories and folklore, i…
Narrative Structure in Tropes: A Computational Analysis of `Friends'
Shun Zhang, Tabia Tanzin Prama, Christopher M. Danforth +1
Tropes are recurring narrative devices in television and film. We carry out a computational analysis of tropes in the sitcom Friends, using human-curated trope annotations from TVT…
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…
Global brain drain and gain in high-potential student mobility
Tabia Tanzin Pramaa, Christopher M. Danfortha, Peter Sheridan Dodds
The mobility of high-potential individuals, particularly graduates from elite academic institutions, serves as a critical driver of global innovation and economic development. Desp…
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…
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…
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…
Transformer-Based Low-Resource Language Translation: A Study on Standard Bengali to Sylheti
Mangsura Kabir Oni, Tabia Tanzin Prama
Machine Translation (MT) has advanced from rule-based and statistical methods to neural approaches based on the Transformer architecture. While these methods have achieved impressi…
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…
AI Enabled User-Specific Cyberbullying Severity Detection with Explainability
Tabia Tanzin Prama, Jannatul Ferdaws Amrin, Md. Mushfique Anwar +1
The rise of social media has significantly increased the prevalence of cyberbullying (CB), posing serious risks to both mental and physical well-being. Effective detection systems…
Optimized Custom CNN for Real-Time Tomato Leaf Disease Detection
Mangsura Kabir Oni, Tabia Tanzin Prama
In Bangladesh, tomatoes are a staple vegetable, prized for their versatility in various culinary applications. However, the cultivation of tomatoes is often hindered by a range of…
Political Biases on X before the 2025 German Federal Election
Tabia Tanzin Prama, Chhandak Bagchi, Vishal Kalakonnavar +2
This study examines whether German X users would see politically balanced news feeds if they followed comparable leading politicians from each federal parliamentary party of German…