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ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

, , , , and . ACL (Findings), page 2263-2279. Association for Computational Linguistics, (2022)

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UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning., , , , and . EMNLP, page 14662-14684. Association for Computational Linguistics, (2023)ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning., , , , and . ACL (Findings), page 2263-2279. Association for Computational Linguistics, (2022)ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning., , , , and . ACL (Findings), page 10387-10409. Association for Computational Linguistics, (2024)Chain FL: Decentralized Federated Machine Learning via Blockchain., , , , , and . BCCA, page 140-146. IEEE, (2020)Chart-to-Text: A Large-Scale Benchmark for Chart Summarization., , , , , , and . ACL (1), page 4005-4023. Association for Computational Linguistics, (2022)ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild., , , , , and . CoRR, (2024)Cultural and religiosity drivers and satisfaction outcomes of consumer perceived deception in online shopping., and . Internet Res., 26 (4): 942-962 (2016)Citizens as consumers: Profiling e-government services' users in Egypt via data mining techniques., and . Int. J. Inf. Manag., 33 (4): 627-641 (2013)