Evaluating Generative Patent Language Models

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Evaluating Generative Patent Language Models

23 June 2022

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Papers citing "Evaluating Generative Patent Language Models"

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Title
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 532 4,522 0 24 May 2022
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences Maliheh Izadi Roberta Gismondi Georgios Gousios 76 102 0 14 Feb 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 476 2,123 0 31 Dec 2020
Prior Art Search and Reranking for Generated Patent Text Jieh-Sheng Lee J. Hsiang 37 12 0 19 Sep 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 889 42,463 0 28 May 2020
Patent Claim Generation by Fine-Tuning OpenAI GPT-2 Jieh-Sheng Lee J. Hsiang 131 148 0 01 Jul 2019