NeurIPS 2020

Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis

Meta Review

The reviewers gave mixed scores and raised various issues with respect to the evaluation and the novelty compared to the ICLR 2018 workshop paper. However, I felt that accepting the paper at this time would be valuable to the NeurIPS community as it combines pre-existing components in a reasonable way, yielding both good performance improvement and providing useful insights about these models. I would encourage the authors to address the issues raised by the reviewers in the camera-ready.