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

Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets Irina Bejan author Artem Sokolov author Katja Filippova author 2023-12 text Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing Houda Bouamor editor Juan Pino editor Kalika Bali editor Association for Computational Linguistics Singapore conference publication bejan-etal-2023-make 10.18653/v1/2023.emnlp-main.625 https://aclanthology.org/2023.emnlp-main.625/ 2023-12 10107 10121