50 citations · 50 across the 2 of their papers we have counts for
2 papers
cs.HC2026
Measuring Creativity in the Age of Generative AI: Distinguishing Human and AI-Generated Creative Performance in Hiring and Talent Systems
Yigal Rosen, Ilia Rushkin
Generative AI is rapidly transforming how organizations create value and evaluate talent. While large language models enhance baseline output quality, they simultaneously introduce…
cs.AI2017★ 50 cited
Delving Deeper into MOOC Student Dropout Prediction
Jacob Whitehill, Kiran Mohan, Daniel Seaton +2
In order to obtain reliable accuracy estimates for automatic MOOC dropout predictors, it is important to train and test them in a manner consistent with how they will be used in pr…