1 code implementation • EMNLP 2021 • Libo Qin, Tianbao Xie, Shijue Huang, Qiguang Chen, Xiao Xu, Wanxiang Che
Consistency Identification has obtained remarkable success on open-domain dialogue, which can be used for preventing inconsistent response generation.
1 code implementation • ACL 2022 • Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan
Specifically, we employ contrastive learning, leveraging bilingual dictionaries to construct multilingual views of the same utterance, then encourage their representations to be more similar than negative example pairs, which achieves to explicitly align representations of similar sentences across languages.
1 code implementation • COLING 2022 • Libo Qin, Qiguang Chen, Tianbao Xie, Qian Liu, Shijue Huang, Wanxiang Che, Zhou Yu
Consistency identification in task-oriented dialog (CI-ToD) usually consists of three subtasks, aiming to identify inconsistency between current system response and current user response, dialog history and the corresponding knowledge base.
no code implementations • 15 Nov 2023 • Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li
End-to-end task-oriented dialogue (EToD) can directly generate responses in an end-to-end fashion without modular training, which attracts escalating popularity.
1 code implementation • 23 Oct 2023 • Libo Qin, Qiguang Chen, Fuxuan Wei, Shijue Huang, Wanxiang Che
The cross-lingual alignment prompting is responsible for aligning representations across different languages, whereas the task-specific solver prompting is used to generate the final chain of thoughts and results for the reasoning task.
no code implementations • 12 Oct 2023 • Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo
This paper studies close-loop task planning, which refers to the process of generating a sequence of skills (a plan) to accomplish a specific goal while adapting the plan based on real-time observations.
no code implementations • 4 Oct 2023 • Han Zhang, Qiguang Chen, Lok Ming Lui
The QCTN is a deep neural network that outputs a quasiconformal map, which can be used to transform a geometrically distorted image into an improved version that is closer to the distribution of natural or good images.
no code implementations • 15 Aug 2023 • Ziyu Zhuang, Qiguang Chen, Longxuan Ma, Mingda Li, Yi Han, Yushan Qian, Haopeng Bai, Zixian Feng, Weinan Zhang, Ting Liu
From pre-trained language model (PLM) to large language model (LLM), the field of natural language processing (NLP) has witnessed steep performance gains and wide practical uses.
1 code implementation • 14 Jul 2023 • Libo Qin, Shijue Huang, Qiguang Chen, Chenran Cai, Yudi Zhang, Bin Liang, Wanxiang Che, Ruifeng Xu
Multi-modal sarcasm detection has attracted much recent attention.
1 code implementation • 17 May 2023 • Libo Qin, Qiguang Chen, Xiao Xu, Yunlong Feng, Wanxiang Che
Spoken Language Understanding (SLU) is one of the core components of a task-oriented dialogue system, which aims to extract the semantic meaning of user queries (e. g., intents and slots).
no code implementations • 9 Apr 2023 • Wenbo Pan, Qiguang Chen, Xiao Xu, Wanxiang Che, Libo Qin
Zero-shot dialogue understanding aims to enable dialogue to track the user's needs without any training data, which has gained increasing attention.
no code implementations • 5 Jan 2023 • Bo Zheng, Zhouyang Li, Fuxuan Wei, Qiguang Chen, Libo Qin, Wanxiang Che
Multilingual spoken language understanding (SLU) consists of two sub-tasks, namely intent detection and slot filling.
no code implementations • 15 Aug 2022 • Yuchen Guo, Qiguang Chen, Gary P. T. Choi, Lok Ming Lui
In this work, we propose a novel framework for the automatic landmark detection and registration of brain cortical surfaces using quasi-conformal geometry and convolutional neural networks.
1 code implementation • 18 Apr 2022 • Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan
We present Global--Local Contrastive Learning Framework (GL-CLeF) to address this shortcoming.
no code implementations • 20 Oct 2021 • Qiguang Chen, Zhiwen Li, Lok Ming Lui
Existing methods to solve the mapping problems are often inefficient and can sometimes get trapped in local minima.
1 code implementation • 23 Sep 2021 • Libo Qin, Tianbao Xie, Shijue Huang, Qiguang Chen, Xiao Xu, Wanxiang Che
Consistency Identification has obtained remarkable success on open-domain dialogue, which can be used for preventing inconsistent response generation.