Systems engineering issues for industry applications of large language model
Authors:
- Wang ChenWCWang Chen
- Liu Yan-YiLYLiu Yan-Yi
- Guo Tie-ZhengGTGuo Tie-Zheng
- Li Da-PengLDLi Da-Peng
- He TaoHTHe Tao
- Li ZhiLZLi Zhi
- Yang Qing-WenYQYang Qing-Wen
- Wang Hui-HanWHWang Hui-Han
- Wen Ying-YouWYWen Ying-You
- 19 December 2023
- journal article
- research article
- Published by Elsevier in Applied Soft Computing
- Vol. 151
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Survey of Hallucination in Natural Language GenerationACM Computing Surveys, 2023
- The Political Biases of ChatGPTSocial Sciences, 2023
- Post-hoc Interpretability for Neural NLP: A SurveyACM Computing Surveys, 2022
- Efficient Transformers: A SurveyACM Computing Surveys, 2022
- Explainable, trustworthy, and ethical machine learning for healthcare: A surveyComputers in Biology and Medicine, 2022
- InPars: Unsupervised Dataset Generation for Information Retrieval2022
- Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in CardiologyCanadian Journal of Cardiology, 2022
- A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence TechniquesIEEE Access, 2021
- Large language models associate Muslims with violenceNature Machine Intelligence, 2021
- Database Meets Artificial Intelligence: A SurveyIEEE Transactions on Knowledge and Data Engineering, 2020