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Assessing the novelty of patent claims is a critical yet challenging task traditionally performed by patent examiners.
Patentbert: Patent classification with fine-tuning a pre-trained bert model
Jieh-Sheng Lee and Jieh Hsiang. 2019 · 1906
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Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
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Patentmatch: a dataset for matching patent claims & prior art
Julian Risch, Nicolas Alder, Christoph Hewel, and Ralf Krestel. 2020 · 2012
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How much reading does reading comprehension require? a critical investigation of popular benchmarks
Divyansh Kaushik and Zachary C. Lipton. 2018 · 2018
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Hypothesis only baselines in natural language inference
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, and Benjamin Van Durme. 2018 · 2018
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Contractnli: A dataset for document-level natural language inference for contracts
Yuta Koreeda and Christopher D Manning. 2021 · 2021
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A survey on deep learning for patent analysis
Ralf Krestel, Renukswamy Chikkamath, Christoph Hewel, and Julian Risch. 2021 · 2021
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Towards comprehensive patent approval predictions: Beyond traditional document classification
Xiaochen Gao, Zhaoyi Hou, Yifei Ning, Kewen Zhao, Beilei He, Jingbo Shang, and Vish Krishnan. 2022 · 2022
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
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Can language models learn from explanations in context?
Andrew K Lampinen, Ishita Dasgupta, Stephanie CY Chan, Kory Matthewson, Michael Henry Tessler, Antonia Creswell, James L McClelland, Jane X Wang, and Felix Hill. 2022 · 2022
Cited alongside, same era.
Hunt for buried treasures: Extracting unclaimed embodiments from patent specifications
Chikara Hashimoto, Gautam Kumar, Shuichiro Hashimoto, and Jun Suzuki. 2023 · 2023
Cited alongside, same era.
Can large language models explain themselves? a study of llm-generated self-explanations
Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam, Yilun Zhou, and Leilani H Gilpin. 2023 · 2023
Cited alongside, same era.
Manual of PATENT EXAMINING PROCEDURE , ninth edition
USPTO. 2014 · 2023
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Qlora: Efficient finetuning of quantized llms
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2024 · 2024
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Google patents public datasets
Google · 2024
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Introducing meta llama 3: The most capable openly available llm to date
Meta. 2024 · 2024
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Oecd stat
OECD · 2024
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Hello gpt-4o
openAI. 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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Zongxi Li, Xianming Li, Yuzhang Liu, Haoran Xie, Jing Li, Fu-lee Wang, Qing Li, and Xiaoqin Zhong. 2023 · 2023
Cited alongside, same era.
Assessment of patentability by means of semantic patent analysis–a mathematical-logical approach
Valentin J Schmitt, Lothar Walter, and Frank C Schnittker. 2023 · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Mirac Suzgun, Luke Melas-Kyriazi, Suproteem Sarkar, Scott D Kominers, and Stuart Shieber. 2024 · 2024
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