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 Is Here to Help, Not to Replace Anybody" -- An Evaluation of Students' Opinions On Integrating ChatGPT In CS Courses
Bruno Pereira Cipriano, Pedro Alves
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT
Triet H. M. Le, M. Ali Babar, Tung Hoang Thai
The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering
Zhangying He, Thomas Nguyen, Tahereh Miari, Mehrdad Aliasgari, Setareh Rafatirad, Hossein Sayadi
Can Large Language Models Learn the Physics of Metamaterials? An Empirical Study with ChatGPT
Darui Lu, Yang Deng, Jordan M. Malof, Willie J. Padilla