End-to-End Bias Mitigation by Modelling Biases in Corpora
Table 1: Results on FEVER development and symmetric test set. Δ are absolute differences with CE loss.
['[BOLD] Loss', '[BOLD] Dev', '[BOLD] Test', 'Δ']
S4SS1SSS0Px4 Results: Our proposed debiasing methods, PoE and DFL, are highly effective, boosting the performance of the baseline by 9.8 and 7.5 points respectively, significantly surpassing the prior work of Schuster et al.