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In this research, patent prosecution is conceptualized as a system of reinforcement learning from human feedback.
Proximal policy optimization algorithms (2017)
Schulman, J., Wolski, F., Dhariwal, P., Radford, A. & Klimov, O · 2017
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Uspto patent prosecution research data: Unlocking office action traits
Lu, Q., Myers, A. & Beliveau, S · 2017
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Sanh, V., Debut, L., Chaumond, J. & Wolf, T · 2019
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Patent claims and patent scope
Marco, A. C., Sarnoff, J. D. & deGrazia, C. A · 2019
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When is “wherein” clause limiting? When it’s material to patentability
Emery, M. W. · 2019
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Patent claim generation by fine-tuning openai gpt-2
Lee, J.-S. & Hsiang, J · 2020
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Controlling patent text generation by structural metadata , CIKM ’20, 3241–3244 (Association for Computing Machinery, New York, NY, USA, 2020)
Lee, J.-S · 2020
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Inventing ai: Tracing the diffusion of artificial intelligence with u.s. patents
USPTO · 2020
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Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M. & Lin, H. (eds) Learning to summarize with human feedback
Stiennon, N. et al · 2020
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Trl: Transformer reinforcement learning
von Werra, L. et al · 2020
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von Werra, L. et al · 2020
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Identifying artificial intelligence (AI) invention: A novel AI patent dataset (The Journal of Technology Transfer, 2021)
Giczy, A., Pairolero, N. & Toole, A. A · 2021
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Patentsview: An open data platform to advance science and technology policy
Toole, A. A., Jones, C. & Madhavan, S · 2021
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Koyejo, S. et al. (eds) Training language models to follow instructions with human feedback
Ouyang, L. et al · 2022
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Artificial Intelligence Patent Dataset
USPTO · 2022
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LoRA: Low-rank adaptation of large language models (2022)
Hu, E. J. et al · 2022
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8-bit optimizers via block-wise quantization
Dettmers, T., Lewis, M., Shleifer, S. & Zettlemoyer, L · 2022
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Ramamurthy, R. et al · 2022
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Patentgpt-j-6b
Lee, J.-S · 2023
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Evaluating generative patent language models
Lee, J.-S · 2023
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Large-scale text analysis using generative language models: A case study in discovering public value expressions in ai patents
Pelaez, S., Verma, G., Ribeiro, B. & Shapira, P · 2023
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Bai, Y. et al · 2022
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