71 citations · 267 across the 20 of their papers we have counts for
6 papers · 1 filter
Dialogue Response Selection with Hierarchical Curriculum Learning
Yixuan Su, Deng Cai, Qingyu Zhou +6
We study the learning of a matching model for dialogue response selection. Motivated by the recent finding that models trained with random negative samples are not ideal in real-wo…
Enhancing Dialogue Generation via Multi-Level Contrastive Learning
Xin Li, Piji Li, Yan Wang +2
Most of the existing works for dialogue generation are data-driven models trained directly on corpora crawled from websites. They mainly focus on improving the model architecture t…
Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory
Yixuan Su, Yan Wang, Simon Baker +4
The ability of a dialog system to express prespecified language style during conversations has a direct, positive impact on its usability and on user satisfaction. We introduce a n…
Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy
Yixuan Su, Deng Cai, Yan Wang +4
Stylistic response generation is crucial for building an engaging dialogue system for industrial use. While it has attracted much research interest, existing methods often generate…
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection
Zibo Lin, Deng Cai, Yan Wang +3
Response selection plays a vital role in building retrieval-based conversation systems. Despite that response selection is naturally a learning-to-rank problem, most prior works ta…
Temporal Convolutional Attention-based Network For Sequence Modeling
Hongyan Hao, Yan Wang, Siqiao Xue +3
With the development of feed-forward models, the default model for sequence modeling has gradually evolved to replace recurrent networks. Many powerful feed-forward models based on…