2023
Quantifying Train-Evaluation Overlap with Nearest Neighbors
ACL 2023findings
Characterizing benchmark datasets is crucial to interpreting model performance. In this work, we study train-evaluation overlap as a measure of an individual dataset’s adequacy to evaluate model generalization over a wide range of datasets. We quantify the overlap with a simple novel metric based on…