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cs.CL2026

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…

cs.CL2026

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…

cs.CY2026

The queer Hero versus the Fool bias of the queer trait: An archetypometric analysis of the collective portrayal of queerness in fictional stories

Ashley M. A. Fehr, Calla Glavin Beauregard, Julia Witte Zimmerman +4

Visibility in media is pivotal for identity development and for broadening societal views of gender and sexuality. Queer representation has increased in recent years, yet damaging…

cs.CY2026

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…

cs.CY2026

Archetypes and gender in fiction: A data-driven mapping of gender stereotypes in stories

Calla Glavin Beauregard, Julia Witte Zimmerman, Ashley M. A. Fehr +3

Fictional character representations reflect social norms and biases. For example, women are relatively underrepresented in television and film, irrespective of genre, and are frequ…