
polish the paper NAME_1.

    \caption{Comparison between the traditional pretraining-finetuning paradigm and our proposed framework GUR: instead of domain-adaptive further-pretraining with only LM objective and finetuning on various downstream tasks, we post-pretrain the model with LM and CL objectives on custom domain and zero-shot for NLU, NLG, and recall tasks. The model "GUR-CL" is pre-trained in the traditional approach without CL objective. The other models are pre-trained in the second approach. Without extra resources, the model "GUR-FULL" keeps the same LM ability as the model by the traditional approach and gains the ability of text representation in our approach. The models are initialized from a pretrained LM on a general corpus at the least cost.}

 The response should be in all capital letters.
user