no code implementations • COLING 2022 • Jinfeng Zhou, Bo wang, Zhitong Yang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou
In CRS, implicit patterns of user interest sequence guide the smooth transition of dialog utterances to the goal item.
no code implementations • COLING 2022 • Zhitong Yang, Bo wang, Jinfeng Zhou, Yue Tan, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou
We design a global reinforcement learning with the planned paths to flexibly adjust the local response generation model towards the global target.
no code implementations • 24 Aug 2023 • Yachao Zhao, Bo wang, Dongming Zhao, Kun Huang, Yan Wang, Ruifang He, Yuexian Hou
We propose that this re-judge inconsistency can be similar to the inconsistency between human's unaware implicit social bias and their aware explicit social bias.
1 code implementation • 19 May 2023 • Yihong Tang, Bo wang, Miao Fang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou
We design a Contrastive Latent Variable-based model (CLV) that clusters the dense persona descriptions into sparse categories, which are combined with the history query to generate personalized responses.
1 code implementation • 14 Apr 2023 • Qijie Bai, Changli Nie, Haiwei Zhang, Dongming Zhao, Xiaojie Yuan
In this paper, we propose HGWaveNet, a novel hyperbolic graph neural network that fully exploits the fitness between hyperbolic spaces and data distributions for temporal link prediction.
no code implementations • 23 Feb 2023 • Yushan Qian, Bo wang, Ting-En Lin, Yinhe Zheng, Ying Zhu, Dongming Zhao, Yuexian Hou, Yuchuan Wu, Yongbin Li
Empathetic dialogue is a human-like behavior that requires the perception of both affective factors (e. g., emotion status) and cognitive factors (e. g., cause of the emotion).
no code implementations • 12 Jan 2023 • Yushan Qian, Bo wang, Shangzhao Ma, Wu Bin, Shuo Zhang, Dongming Zhao, Kun Huang, Yuexian Hou
Towards human-like dialogue systems, current emotional dialogue approaches jointly model emotion and semantics with a unified neural network.
no code implementations • 5 Nov 2022 • Jinfeng Zhou, Bo wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou
Human conversations of recommendation naturally involve the shift of interests which can align the recommendation actions and conversation process to make accurate recommendations with rich explanations.