Improving Bias Mitigation through Bias Experts in Natural Language Understanding

1 code implementation • 6 Dec 2023 • Eojin Jeon, Mingyu Lee, Juhyeong Park, Yeachan Kim, Wing-Lam Mok, SangKeun Lee

To mitigate the detrimental effect of the bias on the networks, previous works have proposed debiasing methods that down-weight the biased examples identified by an auxiliary model, which is trained with explicit bias labels.

Binary Classification Multi-class Classification +1