ChatGPT Generated Conversation
Research on ChatGPT-generated conversations explores how this large language model (LLM) performs in various interactive contexts, focusing on its capabilities, limitations, and potential biases. Current studies investigate its application in diverse fields, including education (e.g., essay scoring, literature review assistance), healthcare (e.g., medication management, robot interaction), and software development (e.g., code generation, library recommendation), often comparing its performance to human experts or other AI models. This work is significant because it helps assess the reliability and ethical implications of LLMs in real-world applications, informing the development of responsible AI and highlighting potential risks and benefits across numerous sectors.
Papers
Performance of a large language model-Artificial Intelligence based chatbot for counseling patients with sexually transmitted infections and genital diseases
Nikhil Mehta, Sithira Ambepitiya, Thanveer Ahamad, Dinuka Wijesundara, Yudara Kularathne
Der Effizienz- und Intelligenzbegriff in der Lexikographie und kuenstlichen Intelligenz: kann ChatGPT die lexikographische Textsorte nachbilden?
Ivan Arias-Arias, Maria Jose Dominguez Vazquez, Carlos Valcarcel Riveiro
GPTDrawer: Enhancing Visual Synthesis through ChatGPT
Kun Li, Xinwei Chen, Tianyou Song, Hansong Zhang, Wenzhe Zhang, Qing Shan
Learning-by-teaching with ChatGPT: The effect of teachable ChatGPT agent on programming education
Angxuan Chen, Yuang Wei, Huixiao Le, Yan Zhang
How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments?
Patrick Ocheja, Brendan Flanagan, Yiling Dai, Hiroaki Ogata
System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT
Shreya Bhatia, Tarushi Gandhi, Dhruv Kumar, Pankaj Jalote
Benchmarking terminology building capabilities of ChatGPT on an English-Russian Fashion Corpus
Anastasiia Bezobrazova, Miriam Seghiri, Constantin Orasan