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cs.CL2023★ 1 cited
Improving Bias Mitigation through Bias Experts in Natural Language Understanding
Eojin Jeon, Mingyu Lee, Juhyeong Park +3
Biases in the dataset often enable the model to achieve high performance on in-distribution data, while poorly performing on out-of-distribution data. To mitigate the detrimental e…
cs.CL2022
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
Mingyu Lee, Jun-Hyung Park, Junho Kim +2
Masked language modeling (MLM) has been widely used for pre-training effective bidirectional representations, but incurs substantial training costs. In this paper, we propose a nov…