Irina Bejan

Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets

Increasingly larger datasets have become a standard ingredient to advancing the state-of-the-art in NLP. However, data quality might have already become the bottleneck to unlock further gains. Given the diversity and the sizes of modern datasets, standard data filtering is not straight-forward to ap…