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
Bayesian artificial brain with ChatGPT
Renato A. Krohling
Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance
Lefteris Loukas, Ilias Stogiannidis, Prodromos Malakasiotis, Stavros Vassos
Using ChatGPT as a Static Application Security Testing Tool
Atieh Bakhshandeh, Abdalsamad Keramatfar, Amir Norouzi, Mohammad Mahdi Chekidehkhoun
The Cultural Psychology of Large Language Models: Is ChatGPT a Holistic or Analytic Thinker?
Chuanyang Jin, Songyang Zhang, Tianmin Shu, Zhihan Cui
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
Yihao Fang, Xianzhi Li, Stephen W. Thomas, Xiaodan Zhu
Large Language Models in Analyzing Crash Narratives -- A Comparative Study of ChatGPT, BARD and GPT-4
Maroa Mumtarin, Md Samiullah Chowdhury, Jonathan Wood