ARAML: A Stable Adversarial Training Framework for Text Generation

Pei Ke, Fei Huang, Minlie Huang +1

Most of the existing generative adversarial networks (GAN) for text generation suffer from the instability of reinforcement learning training algorithms such as policy gradient, le…