67 citations · 588 across the 61 of their papers we have counts for
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An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models
Zihan Zhao, Yuncong Liu, Lu Chen +3
Recently, pre-trained language models like BERT have shown promising performance on multiple natural language processing tasks. However, the application of these models has been li…
CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking
Zhi Chen, Lu Chen, Zihan Xu +3
In dialogue systems, a dialogue state tracker aims to accurately find a compact representation of the current dialogue status, based on the entire dialogue history. While previous…
Dual Learning for Dialogue State Tracking
Zhi Chen, Lu Chen, Yanbin Zhao +2
In task-oriented multi-turn dialogue systems, dialogue state refers to a compact representation of the user goal in the context of dialogue history. Dialogue state tracking (DST) i…
Structured Hierarchical Dialogue Policy with Graph Neural Networks
Zhi Chen, Xiaoyuan Liu, Lu Chen +1
Dialogue policy training for composite tasks, such as restaurant reservation in multiple places, is a practically important and challenging problem. Recently, hierarchical deep rei…
Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management
Zhi Chen, Lu Chen, Xiaoyuan Liu +1
The task-oriented spoken dialogue system (SDS) aims to assist a human user in accomplishing a specific task (e.g., hotel booking). The dialogue management is a core part of SDS. Th…
Deep Reinforcement Learning for On-line Dialogue State Tracking
Zhi Chen, Lu Chen, Xiang Zhou +1
Dialogue state tracking (DST) is a crucial module in dialogue management. It is usually cast as a supervised training problem, which is not convenient for on-line optimization. In…