Review for NeurIPS paper: ColdGANs: Taming Language GANs with Cautious Sampling Strategies

This paper proposes a new method to stabilizing GAN for language generation. After author rebuttal and reviewer discussion, the scores are still divergent. By the end, it received 2 reject and 2 accept recommendations. On one hand, the main criticism about this paper lies in the existence of many hyper-parameters/tricks to tune. On the other hand, the reviewers appreciate the additional clarification and experiments in the rebuttal, and think this paper provides a careful and insightful analysis on text GANs.