GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain

6 September 2021

Papers citing "GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain"

6 / 6 papers shown

Title
Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers S. Chandrasekhar Huang Chieh-Yang Ting-Hao 'Kenneth' Huang 11 2 0 07 Jun 2023
SikuGPT: A Generative Pre-trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities Chang Liu Dongbo Wang Zhixiao Zhao Die Hu Mengcheng Wu ... Si Shen Bin Li Jiangfeng Liu Hai Zhang Lianzheng Zhao 4 9 0 16 Apr 2023
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining Renqian Luo Liai Sun Yingce Xia Tao Qin Sheng Zhang Hoifung Poon Tie-Yan Liu MedIm AI4CE LM&MA 8 780 0 19 Oct 2022
Clinical Prompt Learning with Frozen Language Models Niall Taylor Yi Zhang Dan W Joyce A. Nevado-Holgado Andrey Kormilitzin VLM LM&MA 11 31 0 11 May 2022
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation Kexin Huang Abhishek Singh Sitong Chen E. Moseley Chih-ying Deng Naomi George C. Lindvall 56 57 0 27 Dec 2019
PubMedQA: A Dataset for Biomedical Research Question Answering Qiao Jin Bhuwan Dhingra Zhengping Liu William W. Cohen Xinghua Lu 196 791 0 13 Sep 2019