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cs.CL2025
Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback
Tom S. Juzek, Zina B. Ward
Large Language Models (LLMs) are known to overuse certain terms like "delve" and "intricate." The exact reasons for these lexical choices, however, have been unclear. Using Meta's…
cs.CL2025
Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English
Bryce Anderson, Riley Galpin, Tom S. Juzek
In recent years, written language, particularly in science and education, has undergone remarkable shifts in word usage. These changes are widely attributed to the growing influenc…
cs.CL2025
The Syntactic Acceptability Dataset (Preview): A Resource for Machine Learning and Linguistic Analysis of English
Tom S Juzek
We present a preview of the Syntactic Acceptability Dataset, a resource being designed for both syntax and computational linguistics research. In its current form, the dataset comp…