5 citations · 6 across the 4 of their papers we have counts for
4 papers
Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
Bing Wang, Shengsheng Wang, Changchun Li +2
Nowadays, misinformation is widely spreading over various social media platforms and causes extremely negative impacts on society. To combat this issue, automatically identifying m…
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yonghao Liu, Mengyu Li, Ximing Li +5
Node classification is an essential problem in graph learning. However, many models typically obtain unsatisfactory performance when applied to few-shot scenarios. Some studies hav…
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
Jiaan Wang, Jianfeng Qu, Kexin Wang +4
Knowledge-grounded dialogue (KGD) learns to generate an informative response based on a given dialogue context and external knowledge (\emph{e.g.}, knowledge graphs; KGs). Recently…
Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering
Bing Wang, Ximing Li, Zhiyao Yang +3
Pre-trained Language Model (PLM) is nowadays the mainstay of Unsupervised Sentence Representation Learning (USRL). However, PLMs are sensitive to the frequency information of words…