TextGAIL: Generative Adversarial Imitation Learning for Text Generation

7 Apr 2020 Qingyang Wu Lei LI Zhou Yu

Generative Adversarial Networks (GANs) for text generation have recently received many criticisms, as they perform worse than their MLE counterparts. We suspect previous text GANs' inferior performance is due to the lack of a reliable guiding signal in their discriminators... (read more)

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