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This paper proposes LayoutLLM, a more flexible document analysis method for understanding imaged documents.
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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Hellaswag: Can a machine really finish your sentence?
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, and Yejin Choi. 2019 · 1905
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On the measure of intelligence
François Chollet. 2019 · 1911
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Evaluation of deep convolutional nets for document image classification and retrieval
Adam W Harley, Alex Ufkes, and Konstantinos G Derpanis. 2015 · 2015
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Decoupled weight decay regularization
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Improving language understanding by generative pre-training
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Funsd: A dataset for form understanding in noisy scanned documents
Guillaume Jaume, Hazim Kemal Ekenel, and Jean-Philippe Thiran. 2019 · 2019
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Cord: a consolidated receipt dataset for post-ocr parsing
Seunghyun Park, Seung Shin, Bado Lee, Junyeop Lee, Jaeheung Surh, Minjoon Seo, and Hwalsuk Lee. 2019 · 2019
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Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt. 2020 · 2020
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Layoutlm: Pre-training of text and layout for document image understanding
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, and Ming Zhou. 2020 · 2020
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Lambert: layout-aware language modeling for information extraction
Łukasz Garncarek, Rafał Powalski, Tomasz Stanisławek, Bartosz Topolski, Piotr Halama, Michał Turski, and Filip Graliński. 2021 · 2021
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Unidoc: Unified pretraining framework for document understanding
Jiuxiang Gu, Jason Kuen, Vlad I Morariu, Handong Zhao, Rajiv Jain, Nikolaos Barmpalios, Ani Nenkova, and Tong Sun. 2021 · 2021
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Structurallm: Structural pre-training for form understanding
Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, and Luo Si. 2021 · 2021
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Layoutlmv3: Pre-training for document ai with unified text and image masking
Yupan Huang, Tengchao Lv, Lei Cui, Yutong Lu, and Furu Wei. 2022 · 2022
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Ocr-free document understanding transformer
Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, and Seunghyun Park. 2022 · 2022
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Dit: Self-supervised pre-training for document image transformer
Junlong Li, Yiheng Xu, Tengchao Lv, Lei Cui, Cha Zhang, and Furu Wei. 2022 · 2022
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Pix2struct: Screenshot parsing as pretraining for visual language understanding
Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, and Kristina Toutanova. 2023 · 2023
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Unifying vision, text, and layout for universal document processing
Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, and Mohit Bansal. 2023 · 2023
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Stephanie Lin, Jacob Hilton, and Owain Evans. 2021 · 2021
Cited alongside, same era.
Going full-tilt boogie on document understanding with text-image-layout transformer
Rafał Powalski, Łukasz Borchmann, Dawid Jurkiewicz, Tomasz Dwojak, Michał Pietruszka, and Gabriela Pałka. 2021 · 2021
Cited alongside, same era.
Layoutlmv2: Multi-modal pre-training for visually-rich document understanding
Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, et al. 2021 · 2021
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Docvqa: A dataset for vqa on document images
Minesh Mathew, Dimosthenis Karatzas, and CV Jawahar. 2021 · 2021
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On the multilingual capabilities of very large-scale English language models
Jordi Armengol-Estapé, Ona de Gibert Bonet, and Maite Melero. 2022 · 2022
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A3s: Adversarial learning of semantic representations for scene-text spotting
Masato Fujitake. 2023a
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Diffusionstr: Diffusion model for scene text recognition
Masato Fujitake. 2023b
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Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
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mplug-docowl: Modularized multimodal large language model for document understanding
Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Yuhao Dan, Chenlin Zhao, Guohai Xu, Chenliang Li, Junfeng Tian, et al. 2023 · 2023
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Stanford alpaca: An instruction-following llama model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto. 2023 · 2023
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Dtrocr: Decoder-only transformer for optical character recognition
Masato Fujitake. 2024 · 2024
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