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
ChatGPT vs LLaMA: Impact, Reliability, and Challenges in Stack Overflow Discussions
Leuson Da Silva, Jordan Samhi, Foutse Khomh
The Application of ChatGPT in Responding to Questions Related to the Boston Bowel Preparation Scale
Xiaoqiang Liu, Yubin Wang, Zicheng Huang, Boming Xu, Yilin Zeng, Xinqi Chen, Zilong Wang, Enning Yang, Xiaoxuan Lei, Yisen Huang, Xiaobo Liu
Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale
Freddy Heppell, Mehmet E. Bakir, Kalina Bontcheva