Before revision: In attempts to produce machine learning models less reliant on spurious patterns in training data , researchers have recently proposed  a human-in-the-loop process for generating counterfactually augmented datasets.
After revision: In attempts to produce machine learning models less reliant on spurious patterns in NLP datasets , researchers have recently proposed a human-in-the-loop process for generating counterfactually augmented datasets.