Author

P. Dodds

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#small language model Preprint Oct 2026

Localized, unstable, and entangled: Exploring `Us vs. Them'bias in Large Language Models

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 continuations than matched prompts framed around an outgroup (``they''/``them''). Using Edge Attribution Patching (EAP), we localize this behavior...

Tabia Tanzin Prama, J. Zimmerman, C. Danforth et al. · 0 citations

#natural language process... Preprint Jul 2026

Self-reported archetypes and behavioral failures in Large Language Models

This work map the self-reported personality archetypes of 22 LLMs spanning closed-source frontier systems and open-source models, providing a reproducible, character-grounded framework for evaluating what LLMs are, not just what they do.

Tabia Tanzin Prama, C. Beauregard, C. Danforth et al. · 0 citations

Preprint Jul 2026

Archetypometrics of'Friends'

Storytelling inherently revolves around characters. Using the television sitcom `Friends'as a case study, we investigate how well archetype vectors capture both individual characterization and the relational structure of a specific ensemble. Our work is based on the archetypometrics framework, which locates 2,000 ficti...

Shunyou Zhang, Tabia Tanzin Prama, C. M. Danforth et al. · 0 citations