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LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding.

, , , , , , , , , , , and . ACL/IJCNLP (1), page 2579-2591. Association for Computational Linguistics, (2021)

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STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization., , , , and . CoRR, (2020)Constrained Text Coclustering with Supervised and Unsupervised Constraints., , , , , and . IEEE Trans. Knowl. Data Eng., 25 (6): 1227-1239 (2013)LongNet: Scaling Transformers to 1,000,000,000 Tokens, , , , , , and . (2023)cite arxiv:2307.02486Comment: Work in progress.SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval., , , , , , , and . CoRR, (2022)BEiT: BERT Pre-Training of Image Transformers., , and . CoRR, (2021)GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation., , , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)DiT: Self-supervised Pre-training for Document Image Transformer., , , , , and . ACM Multimedia, page 3530-3539. ACM, (2022)Learning to Generate Product Reviews from Attributes., , , , , and . EACL (1), page 623-632. Association for Computational Linguistics, (2017)Multimodal Matching Transformer for Live Commenting., , , , , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 1998-2005. IOS Press, (2020)Non-Contrastive Learning Meets Language-Image Pre-Training., , , , and . CVPR, page 11028-11038. IEEE, (2023)