From: NeurIPS.cc/2021/Workshop/DistShift/Program_Chairs
title: Paper Decision
decision: Accept (Poster)
comment: This paper studies robust fine-tuning methods for natural language generation, by ensembling models across different fine-tuning methods. This is an important topic and the paper provides noteworthy contributions. As reviewers have suggested, I recommend more explicitly discussing the limitations of the work (e.g., theoretical results).