Artisan: Automated Operational Amplifier Design via Domain-specific Large Language Model-Reference-Cited by-同舟云学术

Artisan: Automated Operational Amplifier Design via Domain-specific Large Language Model

Published:2024-06-23 Issue: Volume: Page:1-6
ISSN:
Container-title:Proceedings of the 61st ACM/IEEE Design Automation Conference
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Author:

Chen Zihao¹^ORCID,Huang Jiangli¹^ORCID,Liu Yiting¹^ORCID,Yang Fan¹^ORCID,Shang Li¹^ORCID,Zhou Dian²^ORCID,Zeng Xuan¹^ORCID

Affiliation:

1. Fudan University, Shanghai, Shanghai, China

2. The University of Texas at Dallas, Dallas, TX, United States

Funder

National Key R&D Program of China

National Natural Science Foundation of China (NSFC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3649329.3655903

Reference24 articles.

1. Jason Blocklove, Siddharth Garg, Ramesh Karri, and Hammond Pearce. 2023. Chip-Chat: Challenges and Opportunities in Conversational Hardware Design. arXiv preprint arXiv:2305.13243 (2023).

2. Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, and Xiaowei Li. 2023. ChipGPT: How far are we from natural language hardware design. arXiv preprint arXiv:2305.14019 (2023).

3. Zihao Chen, Songlei Meng, Fan Yang, Li Shang, and Xuan Zeng. 2023. TOTAL: Topology optimization of operational amplifier via reinforcement learning. In 2023 24th Int'l Symposium on Quality Electronic Design (ISQED). IEEE.

4. Hugo Touvron et al. 2023. Llama 2: Open Foundation and Fine-Tuned Chat Models. arXiv:2307.09288 [cs.CL]

5. Rohan Taori et al. 2023. Stanford Alpaca: An Instruction-following LLaMA model. https://github.com/tatsu-lab/stanford_alpaca.

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