1 code implementation • 27 Dec 2023 • Qifei Li, Yingming Gao, Cong Wang, Yayue Deng, Jinlong Xue, Yichen Han, Ya Li
To address this problem, we propose a frame-level emotional state alignment method for SER.
no code implementations • 16 Dec 2023 • Yayue Deng, Jinlong Xue, Yukang Jia, Qifei Li, Yichen Han, Fengping Wang, Yingming Gao, Dengfeng Ke, Ya Li
In this paper, we introduce a contrastive learning-based CSS framework, CONCSS.
no code implementations • 30 Nov 2021 • Wangchunshu Zhou, Qifei Li, Chenle Li
Personalizing dialogue agents is important for dialogue systems to generate more specific, consistent, and engaging responses.
no code implementations • ACL 2021 • Wangchunshu Zhou, Qifei Li, Chenle Li
By giving higher rewards for responses whose output probability reduces more significantly when dialogue history is perturbed, the model is encouraged to generate more diverse and consistent responses.
no code implementations • 15 Apr 2021 • Jingwei Yi, Fangzhao Wu, Chuhan Wu, Qifei Li, Guangzhong Sun, Xing Xie
The core of our method includes a bias representation module, a bias-aware user modeling module, and a bias-aware click prediction module.
no code implementations • COLING 2020 • Qifei Li, Wangchunshu Zhou
Fact verification models have enjoyed a fast advancement in the last two years with the development of pre-trained language models like BERT and the release of large scale datasets such as FEVER.