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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

J. Zimmerman

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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
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

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