Before revision:  Many graph-to-text models have shown strong performance in this task employing specialized graph encoders. However, recent approaches employ large pretrained language models (PLMs) achieving state-of-the-art results in data-to-text generation.
After revision:  In this paper, we investigate two recently proposed pretrained language models (PLMs) achieving state-of-the-art results in data-to-text generation.