C. Beauregard

Preprint Sep 2026

LLMs are not stochastic parrots: Evidence for meaning-mediated abstraction from conlang-like tasks

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 matching into abstraction or reasoning, remaining ontologically near the lower bound of pattern reuse despite producing alluringly fluent tex...

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

#artificial intelligence Preprint Sep 2026

LLMs are not stochastic parrots: Evidence for meaning-mediated abstraction from conlang-like tasks

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 matching into abstraction or reasoning, remaining ontologically near the lower bound of pattern reuse despite producing alluringly fluent tex...

J. Zimmerman, C. Beauregard, Tabia Tanzin Prama 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