4 citations · 4 across the 3 of their papers we have counts for
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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…
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…
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…
Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models
Tom S. Juzek, Zina B. Ward
Scientific English is currently undergoing rapid change, with words like "delve," "intricate," and "underscore" appearing far more frequently than just a few years ago. It is widel…