29 citations · 40 across the 6 of their papers we have counts for
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3 papers · 1 filter
cs.CL2021★ 29 cited
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training
Hao Zhou, Pei Ke, Zheng Zhang +11
Although pre-trained language models have remarkably enhanced the generation ability of dialogue systems, open-domain Chinese dialogue systems are still limited by the dialogue dat…
cs.CL2021★ 2 cited
Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues
Yinhe Zheng, Yida Wang, Pei Ke +2
This paper propose to combine pretrained language models with the modular dialogue paradigm for open-domain dialogue modeling. Our method, semantic-enhanced finetuning, instantiate…
cs.CL2021★ 1 cited
Diversifying Dialog Generation via Adaptive Label Smoothing
Yida Wang, Yinhe Zheng, Yong Jiang +1
Neural dialogue generation models trained with the one-hot target distribution suffer from the over-confidence issue, which leads to poor generation diversity as widely reported in…