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Large language models (LLMs) have shown exceptional performance across various text generation tasks but remain under-explored in the patent domain, which offers highly structured and precise language.
Do we need language-specific fact-checking models? the case of Chinese
Caiqi Zhang, Zhijiang Guo, and Andreas Vlachos. 2024a · 1914
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Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel
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Landis on mechanics of patent claim drafting
Robert C Faber. 1990 · 1990
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Rethinking the development of patents: an intellectual history, 1550-1800
Adam Mossoff. 2000 · 2000
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Bleu: a method for automatic evaluation of machine translation
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Andreas Maurer, Massimiliano Pontil, and Bernardino Romera-Paredes. 2016 · 2016
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Language models are unsupervised multitask learners
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Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
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Controlling patent text generation by structural metadata
Jieh-Sheng Lee. 2020 · 2020
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Patent claim generation by fine-tuning openai gpt-2
Jieh-Sheng Lee and Jieh Hsiang. 2020 · 2020
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Lora: Low-rank adaptation of large language models
Edward J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al. 2021 · 2021
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GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model
Ben Wang and Aran Komatsuzaki. 2021 · 2021
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Pgt: a prompt based generative transformer for the patent domain
Dimitrios Christofidellis, Antonio Berrios Torres, Ashish Dave, Manuel Roveri, Kristin Schmidt, Sarath Swaminathan, Hans Vandierendonck, Dmitry Zubarev, and Matteo Manica. 2022 · 2022
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The EuroPat corpus: A parallel corpus of European patent data
Kenneth Heafield, Elaine Farrow, Jelmer van der Linde, Gema Ramírez-Sánchez, and Dion Wiggins. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
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Summarization is (almost) dead
Xiao Pu, Mingqi Gao, and Xiaojun Wan. 2023 · 2023
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Building machine translation tools for patent language: A data generation strategy at the European patent office
Matthias Wirth, Volker D. Hähnke, Franco Mascia, Arnaud Wéry, Konrad Vowinckel, Marco del Rey, Raúl Mohedano del Pozo, Pau Montes, and Alexander Klenner-Bajaja. 2023 · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al. 2023 · 2023
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Saullm-7b: A pioneering large language model for law
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Patfig: Generating short and long captions for patent figures
Dana Aubakirova, Kim Gerdes, and Lufei Liu. 2023 · 2023
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Silvia Casola, Alberto Lavelli, and Horacio Saggion. 2023 · 2023
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European Patent Office. 2000 · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
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Evaluating generative patent language models
Jieh-Sheng Lee. 2023 · 2023
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G-eval: NLG evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023b · 2023
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Recent advances in natural language processing via large pre-trained language models: A survey
Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heintz, and Dan Roth. 2023 · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al. 2024 · 2024
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Typical fees
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Deepseekmath: Pushing the limits of mathematical reasoning in open language models
Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Mingchuan Zhang, YK Li, Yu Wu, and Daya Guo. 2024 · 2024
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The harvard uspto patent dataset: A large-scale, well-structured, and multi-purpose corpus of patent applications
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Logu: Long-form generation with uncertainty expressions
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Natural language processing in the patent domain: a survey
Lekang Jiang and Stephan M Goetz. 2025 · 2025
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Patent-CR: A dataset for patent claim revision
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