Review for NeurIPS paper: Zero-Resource Knowledge-Grounded Dialogue Generation

Weaknesses: - It is hard to judge whether the proposed method gains good results because of the proposed learning method or the help of the strong pretrained UniLM model. Even though they compare it with DialoGPT in the appendix, I also would like to see the model's performance without UniLM initialization or finetuned DialoGPT with the proposed dataset (e.g., Reddit conversation with top-1 retrieved knowledge). How do you select knowledge for ITDD? (ii) All the examples and details of human evaluation say that authors use ground-truth knowledge. Are all the models use GT knowledge in test time or use top-10 retrieved knowledge from Lucene knowledge retriever? If so, the performance of some baselines would be revised.