11 citations · 11 across the 3 of their papers we have counts for
3 papers
Fluency and Faithfulness in Human and Machine Literary Translation
Sarah Griebel, Ted Underwood
Literary translation requires balancing target-language fluency with faithfulness to the source. Recent large language models (LLMs) often produce fluent translations, but it remai…
Can Language Models Represent the Past without Anachronism?
Ted Underwood, Laura K. Nelson, Matthew Wilkens
Before researchers can use language models to simulate the past, they need to understand the risk of anachronism. We find that prompting a contemporary model with examples of perio…
"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education
Kyrie Zhixuan Zhou, Zachary Kilhoffer, Madelyn Rose Sanfilippo +5
Large Language Models (LLMs) are advancing quickly and impacting people's lives for better or worse. In higher education, concerns have emerged such as students' misuse of LLMs and…