3 papers
cs.CL2022
Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive Summarization
Yiyang Li, Lei Li, Marina Litvak +4
The issue of factual consistency in abstractive summarization has received extensive attention in recent years, and the evaluation of factual consistency between summary and docume…
cs.CL2021
Recurrent multiple shared layers in Depth for Neural Machine Translation
GuoLiang Li, Yiyang Li
Learning deeper models is usually a simple and effective approach to improve model performance, but deeper models have larger model parameters and are more difficult to train. To g…
cs.CL2021
Residual Tree Aggregation of Layers for Neural Machine Translation
GuoLiang Li, Yiyang Li
Although attention-based Neural Machine Translation has achieved remarkable progress in recent layers, it still suffers from issue of making insufficient use of the output of each…