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2020 – today
- 2024
[i10]Jieh-Sheng Lee:
InstructPatentGPT: Training patent language models to follow instructions with human feedback. CoRR abs/2406.16897 (2024)- 2023
- [i9]Jieh-Sheng Lee:
LexGPT 0.1: pre-trained GPT-J models with Pile of Law. CoRR abs/2306.05431 (2023) - 2022
- [c6]Jieh-Sheng Lee
:
The Effectiveness of Bidirectional Generative Patent Language Models. JURIX 2022: 194-199 - [i8]Jieh-Sheng Lee:
Evaluating Generative Patent Language Models. CoRR abs/2206.14578 (2022) - [i7]Jieh-Sheng Lee:
The Effectiveness of Bidirectional Generative Patent Language Models. CoRR abs/2211.09690 (2022) - 2020
- [c5]Jieh-Sheng Lee:
Controlling Patent Text Generation by Structural Metadata. CIKM 2020: 3241-3244 - [c4]Jieh-Sheng Lee:
Measuring and Controlling Text Generation by Semantic Search. WWW (Companion Volume) 2020: 269-273 - [i6]Jieh-Sheng Lee, Jieh Hsiang:
PatentTransformer-2: Controlling Patent Text Generation by Structural Metadata. CoRR abs/2001.03708 (2020) - [i5]Jieh-Sheng Lee, Jieh Hsiang:
Prior Art Search and Reranking for Generated Patent Text. CoRR abs/2009.09132 (2020)
2010 – 2019
- 2019
- [c3]Jieh-Sheng Lee, Jieh Hsiang:
PatentTransformer-1.5: Measuring Patent Claim Generation by Span Relevancy. JSAI-isAI Workshops 2019: 20-33 - [c2]Jieh-Sheng Lee:
PatentTransformer: A Framework for Personalized Patent Claim Generation. JURIX (Doctoral Consortium) 2019 - [i4]Jieh-Sheng Lee, Jieh Hsiang:
PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model. CoRR abs/1906.02124 (2019) - [i3]Jieh-Sheng Lee, Jieh Hsiang:
Patent Claim Generation by Fine-Tuning OpenAI GPT-2. CoRR abs/1907.02052 (2019) - [i2]Jieh-Sheng Lee, Jieh Hsiang:
Measuring Patent Claim Generation by Span Relevancy. CoRR abs/1908.09591 (2019) - [i1]Jieh-Sheng Lee:
Personalized Patent Claim Generation and Measurement. CoRR abs/1912.03502 (2019)
1990 – 1999
- 1997
- [c1]Jieh-Sheng Lee, Jieh Hsiang, Po-Hao Tsang:
A Generic Virus Detection Agent on the Internet. HICSS (4) 1997: 210-210
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