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20212026
most citedForegrounding Artist Opinions: A Survey Study on Transparency, Ownership, and Fairness in AI Generative Art

3 citations · 8 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

Contextual trajectory and incremental contextual displacement: Towards using LLMs to understand dynamic, utterance-specific meaning construction

Grayson Wycliffe Storer, Julia Witte Zimmerman

Transformer-based large language models (LLMs) such as RoBERTa represent text using contextual word embeddings (CWEs), which alter the embeddings associated with each token based o…

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.CL2025

Statistical laws and linguistics differ in naturalistic video and fictional conversations

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

Conversation is a cornerstone of social connection and is linked to well-being outcomes. Conversations vary widely in type with some portion generating complex, dynamic stories. On…

cs.CL2024

Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning

Julia Witte Zimmerman, Denis Hudon, Kathryn Cramer +9

Tokenization is a necessary component within the current architecture of many language mod-els, including the transformer-based large language models (LLMs) of Generative AI, yet i…

cs.CL2023★ 2 cited

A blind spot for large language models: Supradiegetic linguistic information

Julia Witte Zimmerman, Denis Hudon, Kathryn Cramer +5

Large Language Models (LLMs) like ChatGPT reflect profound changes in the field of Artificial Intelligence, achieving a linguistic fluency that is impressively, even shockingly, hu…

cs.CL2021★ 1 cited

Ousiometrics: The essence of meaning aligns with a power-danger-structure framework instead of valence-arousal-dominance

P. S. Dodds, T. Alshaabi, M. I. Fudolig +7

From work emerging through the middle of the 20th century, the essence of meaning has become widely accepted as being described by the three orthogonal dimensions of valence, arous…