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Qingqing Zhu

2 accepted papers

2022

A Gaussian Mixture Model for Dialogue Generation with Dynamic Parameter Sharing Strategy

ICASSP 2022accepted

Existing dialog models are trained with data in an encoder-decoder framework with the same parameters, ignoring the multinomial distribution nature in the dataset. In fact, model improvement and development commonly requires fine-grained modeling on individual data subsets. However, collecting a lab…

Cited by 0SourceScholar
2021

Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation

EMNLP 2021finding

Curriculum learning, a machine training strategy that feeds training instances to the model from easy to hard, has been proven to facilitate the dialogue generation task. Meanwhile, knowledge distillation, a knowledge transformation methodology among teachers and students networks can yield signific…

Cited by 33SourcePDFScholar