4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 2 cited
FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer
Jingping Liu, Yuqiu Song, Kui Xue +6
Prompt tuning is an emerging way of adapting pre-trained language models to downstream tasks. However, the existing studies are mainly to add prompts to the input sequence. This wa…
cs.CL2022
WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types
Xuwu Wang, Junfeng Tian, Min Gui +5
Multimodal Entity Linking (MEL) which aims at linking mentions with multimodal contexts to the referent entities from a knowledge base (e.g., Wikipedia), is an essential task for m…
cs.LG2020★ 4 cited
Collective Loss Function for Positive and Unlabeled Learning
Chenhao Xie, Qiao Cheng, Jiaqing Liang +2
People learn to discriminate between classes without explicit exposure to negative examples. On the contrary, traditional machine learning algorithms often rely on negative example…