Saisiyat Is Where It Is At! Insights Into Backdoors And Debiasing Of Cross Lingual Transformers For Named Entity Recognition

Author:

Calix Ricardo A.1,Ben-Joseph Jj1,Lopatina Nina1,Ashley Ryan1,Gogia Mona1,Sieniawski George1,Brennen Andrea1

Affiliation:

1. IQT Labs

Publisher

IEEE

Reference51 articles.

1. It’s all in the name: Mitigating gender bias with name-based counterfactual data substitution;hall;In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP),2019

2. Neural Backdoors in NLP;guan,2019

3. Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning;hong;In Proceedings of the 35th International Conference on Neural Information Processing Systems,2021

4. Mitigating the Position Bias of Transformer Models in Passage Re-ranking

5. Planting Undetectable Backdoors in Machine Learning Models;goldwasser;ArXiv abs/2204 06974,2022

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