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BEiT: BERT Pre-Training of Image Transformers., , and . CoRR, (2021)LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding., , , , , , , , , and 2 other author(s). CoRR, (2020)DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders., , , , , , , , and . CoRR, (2021)GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation., , , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database., , , and . AACL/IJCNLP, page 201-211. Association for Computational Linguistics, (2020)Coooolll: A Deep Learning System for Twitter Sentiment Classification., , , , and . SemEval@COLING, page 208-212. The Association for Computer Linguistics, (2014)Constrained Text Coclustering with Supervised and Unsupervised Constraints., , , , , and . IEEE Trans. Knowl. Data Eng., 25 (6): 1227-1239 (2013)STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization., , , , and . CoRR, (2020)LongNet: Scaling Transformers to 1,000,000,000 Tokens, , , , , , and . (2023)cite arxiv:2307.02486Comment: Work in progress.Twitter Topic Summarization by Ranking Tweets using Social Influence and Content Quality., , , , and . COLING, page 763-780. Indian Institute of Technology Bombay, (2012)