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Understanding information from visually rich documents remains a significant challenge for traditional Retrieval-Augmented Generation (RAG) methods.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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The probabilistic relevance framework: Bm25 and beyond
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Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Paddlepaddle: An open-source deep learning platform from industrial practice
Yanjun Ma, Dianhai Yu, Tian Wu, and Haifeng Wang. 2019 · 2019
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Retrieval-augmented generation for knowledge-intensive nlp tasks
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Plotqa: Reasoning over scientific plots
Nitesh Methani, Pritha Ganguly, Mitesh M Khapra, and Pratyush Kumar. 2020 · 2020
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Docvqa: A dataset for vqa on document images
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Chartqa: A benchmark for question answering about charts with visual and logical reasoning
Ahmed Masry, Do Xuan Long, Jia Qing Tan, Shafiq Joty, and Enamul Hoque. 2022 · 2022
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Infographicvqa
Minesh Mathew, Viraj Bagal, Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny, and CV Jawahar. 2022 · 2022
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022 · 2022
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Replug: Retrieval-augmented black-box language models
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Retrieval meets long context large language models
Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, and Bryan Catanzaro. 2023 · 2023
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Sigmoid loss for language image pre-training
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Mmlongbench-doc: Benchmarking long-context document understanding with visualizations
Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, and Aixin Sun. 2024 · 2024
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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
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Leave no document behind: Benchmarking long-context llms with extended multi-doc qa
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Multimodal arxiv: A dataset for improving scientific comprehension of large vision-language models
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Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, and Zheng Liu. 2024a
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Mindsearch: Mimicking human minds elicits deep ai searcher
Zehui Chen, Kuikun Liu, Qiuchen Wang, Jiangning Liu, Wenwei Zhang, Kai Chen, and Feng Zhao. 2024b
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Visrag: Vision-based retrieval-augmented generation on multi-modality documents
Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, et al. 2024a
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mplug-owl3: Towards long image-sequence understanding in multi-modal large language models
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Inference scaling for long-context retrieval augmented generation
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