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arXiv · 2006.16779

PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

Siqi Bao·Huang He·Fan Wang·Hua Wu·Haifeng Wang·Wenquan Wu·Zhen Guo·Zhibin Liu·Xinchao Xu
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Abstract

To build a high-quality open-domain chatbot, we introduce the effective training process of PLATO-2 via curriculum learning. There are two stages involved in the learning process. In the first stage, a coarse-grained generation model is trained to learn response generation under the simplified framework of one-to-one mapping. In the second stage, a fine-grained generative model augmented with latent variables and an evaluation model are further trained to generate diverse responses and to select the best response, respectively. PLATO-2 was trained on both Chinese and English data, whose effectiveness and superiority are verified through comprehensive evaluations, achieving new state-of-the-art results.

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Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhen Guo, Zhibin Liu, Xinchao Xu. 2020-06-30. PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning. https://arxiv.org/abs/2006.16779

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