141 citations · 239 across the 7 of their papers we have counts for
7 papers
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
Suyu Ge, Chenyan Xiong, Corby Rosset +3
In this paper we improve the zero-shot generalization ability of language models via Mixture-Of-Memory Augmentation (MoMA), a mechanism that retrieves augmentation documents from m…
Toward Understanding Bias Correlations for Mitigation in NLP
Lu Cheng, Suyu Ge, Huan Liu
Natural Language Processing (NLP) models have been found discriminative against groups of different social identities such as gender and race. With the negative consequences of the…
Unsupervised Multi-Granularity Summarization
Ming Zhong, Yang Liu, Suyu Ge +7
Text summarization is a user-preference based task, i.e., for one document, users often have different priorities for summary. As a key aspect of customization in summarization, gr…
Fine-Grained Opinion Summarization with Minimal Supervision
Suyu Ge, Jiaxin Huang, Yu Meng +2
Opinion summarization aims to profile a target by extracting opinions from multiple documents. Most existing work approaches the task in a semi-supervised manner due to the difficu…
Improving Cyberbully Detection with User Interaction
Suyu Ge, Lu Cheng, Huan Liu
Cyberbullying, identified as intended and repeated online bullying behavior, has become increasingly prevalent in the past few decades. Despite the significant progress made thus f…
Graph Enhanced Representation Learning for News Recommendation
Suyu Ge, Chuhan Wu, Fangzhao Wu +2
With the explosion of online news, personalized news recommendation becomes increasingly important for online news platforms to help their users find interesting information. Exist…
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning
Suyu Ge, Fangzhao Wu, Chuhan Wu +3
Medical named entity recognition (NER) has wide applications in intelligent healthcare. Sufficient labeled data is critical for training accurate medical NER model. However, the la…