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DoT: An efficient Double Transformer for NLP tasks with tables.

, , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3273-3283. Association for Computational Linguistics, (2021)

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DePlot: One-shot visual language reasoning by plot-to-table translation., , , , , , , , , and . ACL (Findings), page 10381-10399. Association for Computational Linguistics, (2023)Learning Nonsymmetric Determinantal Point Processes., , , and . NeurIPS, page 6715-6725. (2019)Open Domain Question Answering over Tables via Dense Retrieval., , , and . NAACL-HLT, page 512-519. Association for Computational Linguistics, (2021)MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering., , , , , , , , and . ACL (1), page 12756-12770. Association for Computational Linguistics, (2023)Faithful Chart Summarization with ChaTS-Pi., , , and . ACL (1), page 8705-8723. Association for Computational Linguistics, (2024)Efficient Bregman projections onto the simplex., , and . CDC, page 3291-3298. IEEE, (2015)TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training., , and . SemEval@ACL/IJCNLP, page 423-430. Association for Computational Linguistics, (2021)Understanding tables with intermediate pre-training., , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 281-296. Association for Computational Linguistics, (2020)Table-To-Text generation and pre-training with TabT5., , , , and . EMNLP (Findings), page 6758-6766. Association for Computational Linguistics, (2022)DoT: An efficient Double Transformer for NLP tasks with tables., , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3273-3283. Association for Computational Linguistics, (2021)