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May 6, 2023 · Tianqiang Yan, Tiansheng Xu. In this paper, we propose a simple yet efficient approach based on prompt engineering that leverages the large language model itself to optimize its answers without relying on auxiliary models.
- arXiv:2305.04039 [cs.CL]
Affiliations: [Faculty of Natural Sciences, Imperial College London].
Articles 1–20. Shanghai Advanced Research Institute, Chinese Academy of Sciences - Cited by 600 - Mobile Communications - Cognitive Radio Networks - Spectrum Sensing.
Tianheng Xu (Member, IEEE) received the Ph.D. degree from the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China, in 2016. He is currently an Associate Professor with the Shanghai Advanced Research Institute, Chinese Academy of Sciences.
Tiansheng Xu. Affiliation. School of Management and Engineering, Capital University of Economics and Business, Beijing. Publication Topics share prices,stock markets ...
Semantic Scholar profile for Tiansheng Xu, with 2 scientific research papers.
1 code implementation • 6 May 2023 • Tianqiang Yan, Tiansheng Xu In this paper, we propose a simple yet efficient approach based on prompt engineering that leverages the large language model itself to optimize its answers without relying on auxiliary models.
