56 citations · 60 across the 3 of their papers we have counts for
3 papers
Interpretable Stylistic Variation in Human and LLM Writing Across Genres, Models, and Decoding Strategies
Swati Rallapalli, Shannon Gallagher, Ronald Yurko +4
Large Language Models (LLMs) are now capable of generating highly fluent, human-like text. They enable many applications, but also raise concerns such as large scale spam, phishing…
The Landscape of College-level Data Visualization Courses, and the Benefits of Incorporating Statistical Thinking
Zach Branson, Monica Paz Parra, Ronald Yurko
Data visualization is a core part of statistical practice and is ubiquitous in many fields. Although there are numerous books on data visualization, instructors in statistics and d…
Do LLMs write like humans? Variation in grammatical and rhetorical styles
Alex Reinhart, Ben Markey, Michael Laudenbach +4
Large language models (LLMs) are capable of writing grammatical text that follows instructions, answers questions, and solves problems. As they have advanced, it has become difficu…