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

Code

• github.com/PaddlePaddle/Knover
  OfficialIn paperpaddle★ 672
• github.com/ruckbreasoning/glm-dialog
  pytorch★ 59
• github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/dialogue/plato-2
  paddle★ 0

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.

Tasks

Reproductions