Review for NeurIPS paper: Compositional Generalization by Learning Analytical Expressions

Additional Feedback: I think that the results on the few-shot MiniSCAN problem are very interesting and worth emphasizing more than they are emphasized currently. It's surprising and impressive that this approach can learn to generalize from such a limited dataset. I would definitely recommend finding more domains/problems which can show how well this approach works in the few-shot setting, because advances there would have very high value. Evaluation on more domains (particularly naturalistic ones) would also be helpful in showing that this approach can help solve compositional generalization problems in real-world settings. For instance, Nye et al (2020) show that the program synthesis approach can be applied to learn how to interpret number words in novel language from a limited number of examples; it would be really interesting to see if this approach could be applied to that problem or similar real-world problems.