1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.AP2026
Analyzing Students' Statistics Writing Before and After the Emergence of Large Language Models
Sara Colando, Erin Franke, Gordon Weinberg +1
The ability to communicate statistical results to domain experts and stakeholders is an important goal of the undergraduate statistics and data science curriculum. However, as larg…
cs.CL2024
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…
stat.AP2021★ 1 cited
Big data, big problems: Responding to "Are we there yet?"
Alex Reinhart, Ryan Tibshirani
Bradley et al. (arXiv:2106.05818v2), as part of an analysis of the performance of large-but-biased surveys during the COVID-19 pandemic, argue that the data defect correlation prov…