activity
20222025
most citedCracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2023

Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View

Cornelia Gruber, Patrick Oliver Schenk, Malte Schierholz +2

Supervised machine learning and predictive models have achieved an impressive standard today, enabling us to answer questions that were inconceivable a few years ago. Besides these…