Search Results for author: Shengxuan Ding

Found 3 papers, 1 papers with code

TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety

1 code implementation28 Jul 2023 Ou Zheng, Mohamed Abdel-Aty, Dongdong Wang, Chenzhu Wang, Shengxuan Ding

Large Language Models (LLMs) have shown remarkable effectiveness in various general-domain natural language processing (NLP) tasks.

2k Language Modelling +1

ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model

no code implementations23 Mar 2023 Hanyao Huang, Ou Zheng, Dongdong Wang, Jiayi Yin, Zijin Wang, Shengxuan Ding, Heng Yin, Chuan Xu, Renjie Yang, Qian Zheng, Bing Shi

Overall, LLMs have the potential to revolutionize dental diagnosis and treatment, which indicates a promising avenue for clinical application and research in dentistry.

Language Modelling Large Language Model

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