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
Exploring the Dark Side of AI: Advanced Phishing Attack Design and Deployment Using ChatGPT
Nils Begou, Jeremy Vinoy, Andrzej Duda, Maciej Korczynski
PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models
Chenhao Tang, Zhengliang Liu, Chong Ma, Zihao Wu, Yiwei Li, Wei Liu, Dajiang Zhu, Quanzheng Li, Xiang Li, Tianming Liu, Lei Fan
ChatGPT Hallucinates when Attributing Answers
Guido Zuccon, Bevan Koopman, Razia Shaik
How much can ChatGPT really help Computational Biologists in Programming?
Chowdhury Rafeed Rahman, Limsoon Wong
Public Perceptions of Gender Bias in Large Language Models: Cases of ChatGPT and Ernie
Kyrie Zhixuan Zhou, Madelyn Rose Sanfilippo
Do You Trust ChatGPT? -- Perceived Credibility of Human and AI-Generated Content
Martin Huschens, Martin Briesch, Dominik Sobania, Franz Rothlauf
The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie
Negin Yazdani Motlagh, Matin Khajavi, Abbas Sharifi, Mohsen Ahmadi
Exploring the effectiveness of ChatGPT-based feedback compared with teacher feedback and self-feedback: Evidence from Chinese to English translation
Siyi Cao, Linping Zhong
What are Public Concerns about ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You
Rui Wang, Xing Liu, Yanan Wang, Haiping Huang
Do androids dream of fictional references? A bibliographic dialogue with ChatGPT3.5
Olivier Las Vergnas