On the task of filling missing text snippets, BLM signifi- cantly outperforms all other baselines in terms of both accuracy and fluency. Experiments on style transfer and damaged ancient text restora- tion demonstrate the potential of this frame- work for a wide range of applications.
https://www.aclweb.org/anthology/2020.emnlp-main.420.pdf
The idea is easy to follow: