https://aclanthology.org/2023.findings-acl.311/
Yu Li, Bojie Hu, Fengshuo Zhang, Yahan Yu, Jian Liu, Yufeng Chen, Jinan Xu. Findings of the Association for Computational Linguistics: ACL 2023. 2023.
multimodaldebiasingmodeldynamical
https://openreview.net/forum?id=f6GVzoTLez&referrer=%5Bthe%20profile%20of%20Raghav%20Mehta%5D(%2Fprofile%3Fid%3D~Raghav_Mehta1)
Deep learning models can perform well in complex medical imaging classification tasks, even when basing their conclusions on spurious correlations (i.e....
in thespurious correlationsdebiasingcounterfactualspresence
https://deepai.org/publication/mind-the-trade-off-debiasing-nlu-models-without-degrading-the-in-distribution-performance
05/01/20 - Models for natural language understanding (NLU) tasks often rely on the idiosyncratic biases of the dataset, which make them britt...
the trade offminddebiasingnlumodels