Search Results for author: Qiguang Chen

Found 16 papers, 8 papers with code

GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding

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.

Contrastive Learning Cross-Lingual Transfer +2

CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue

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.

End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions

no code implementations15 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.

Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages

1 code implementation23 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.

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

no code implementations12 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.

Decision Making

Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis

no code implementations4 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.

Image Classification Image Restoration +1

Through the Lens of Core Competency: Survey on Evaluation of Large Language Models

no code implementations15 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.

Language Modelling Large Language Model

OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding

1 code implementation17 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).

Spoken Language Understanding

A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding

no code implementations9 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.

Dialogue State Tracking slot-filling +2

Automatic Landmark Detection and Registration of Brain Cortical Surfaces via Quasi-Conformal Geometry and Convolutional Neural Networks

no code implementations15 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.

A Deep Learning Framework for Diffeomorphic Mapping Problems via Quasi-conformal Geometry applied to Imaging

no code implementations20 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.

Image Registration

Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System

1 code implementation23 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.

Benchmarking Response Generation

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