Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi
TL;DR通过对抗性组发现的传递稳健优化来提高模型性能,并发现导致模型错误的未研究的虚假相关性。
Abstract
Models trained via empirical risk minimization (ERM) are known to rely on
spurious correlations between labels and task-independent input features,
resulting in poor generalization to distributional shifts. Group
distri