6 citations · 14 across the 12 of their papers we have counts for
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cs.CL2022★ 2 cited
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
Yuxiang Wu, Yu Zhao, Baotian Hu +3
Access to external knowledge is essential for many natural language processing tasks, such as question answering and dialogue. Existing methods often rely on a parametric model tha…
cs.AI2022
MSDF: A General Open-Domain Multi-Skill Dialog Framework
Yu Zhao, Xinshuo Hu, Yunxin Li +4
Dialog systems have achieved significant progress and have been widely used in various scenarios. The previous researches mainly focused on designing dialog generation models in a…
cs.AI2022★ 1 cited
Medical Dialogue Response Generation with Pivotal Information Recalling
Yu Zhao, Yunxin Li, Yuxiang Wu +5
Medical dialogue generation is an important yet challenging task. Most previous works rely on the attention mechanism and large-scale pretrained language models. However, these met…