3 citations · 8 across the 4 of their papers we have counts for
4 papers
Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models?
Shaoyang Xu, Junzhuo Li, Deyi Xiong
Multilingual pretrained language models serve as repositories of multilingual factual knowledge. Nevertheless, a substantial performance gap of factual knowledge probing exists bet…
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models
Xinwei Wu, Junzhuo Li, Minghui Xu +4
Large language models pretrained on a huge amount of data capture rich knowledge and information in the training data. The ability of data memorization and regurgitation in pretrai…
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks
Weilong Dong, Xinwei Wu, Junzhuo Li +3
Massively multi-task learning with large language models has recently made substantial progress on few-shot generalization. However, this is usually performed in a centralized lear…
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework
Junzhuo Li, Xinwei Wu, Weilong Dong +3
Knowledge distillation (KD) has been widely used for model compression and knowledge transfer. Typically, a big teacher model trained on sufficient data transfers knowledge to a sm…