4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
Jaehyung Kim, Yekyung Kim, Karin de Langis +2
The success of NLP systems often relies on the availability of large, high-quality datasets. However, not all samples in these datasets are equally valuable for learning, as some m…
cs.CL2021★ 4 cited
LINDA: Unsupervised Learning to Interpolate in Natural Language Processing
Yekyung Kim, Seohyeong Jeong, Kyunghyun Cho
Despite the success of mixup in data augmentation, its applicability to natural language processing (NLP) tasks has been limited due to the discrete and variable-length nature of n…