Papers by Quang-Minh Tran

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Challenge:	Task-oriented dialogue systems focus on training multiple tasks such as language understanding, tracking states, and generating appropriate responses to help users achieve their specific goals.
Approach:	They exploit the ability of pre-trained models to provide synthesis responses for fine-tuning end-to-end TOD systems.
Outcome:	The proposed model outperforms baseline models on multiwoz datasets and is available for further exploitation.