Jason Wei
OpenAI (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, AI in cancer detection, Colorectal Cancer Screening and Detection, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks(2019)1,869 cited
- → Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models(2022)150 cited
- → A Survey of Data Augmentation Approaches for NLP(2021)127 cited
- → Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides(2020)109 cited
- → A Recipe for Arbitrary Text Style Transfer with Large Language Models(2022)92 cited
- → Automated Detection of Celiac Disease on Duodenal Biopsy Slides: A Deep Learning Approach(2019)89 cited
- → Automating the Paris System for urine cytopathology—A hybrid deep‐learning and morphometric approach(2019)73 cited
- → Finetuned Language Models Are Zero-Shot Learners(2021)69 cited
- → Quantifying and alleviating political bias in language models(2022)67 cited