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
Can GPT models Follow Human Summarization Guidelines? Evaluating ChatGPT and GPT-4 for Dialogue Summarization
Yongxin Zhou, Fabien Ringeval, François Portet
Detection of news written by the ChatGPT through authorship attribution performed by a Bidirectional LSTM model
Amanda Ferrari Iaquinta, Gustavo Voltani von Atzingen
ChatGPT is a Potential Zero-Shot Dependency Parser
Boda Lin, Xinyi Zhou, Binghao Tang, Xiaocheng Gong, Si Li
Is ChatGPT a Good Multi-Party Conversation Solver?
Chao-Hong Tan, Jia-Chen Gu, Zhen-Hua Ling
Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper
Cristina España-Bonet
Can You Follow Me? Testing Situational Understanding in ChatGPT
Chenghao Yang, Allyson Ettinger
BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT
Yirong Chen, Zhenyu Wang, Xiaofen Xing, huimin zheng, Zhipei Xu, Kai Fang, Junhong Wang, Sihang Li, Jieling Wu, Qi Liu, Xiangmin Xu
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen
Towards LLM-driven Dialogue State Tracking
Yujie Feng, Zexin Lu, Bo Liu, Liming Zhan, Xiao-Ming Wu
Harnessing ChatGPT for thematic analysis: Are we ready?
V Vien Lee, Stephanie C. C. van der Lubbe, Lay Hoon Goh, Jose M. Valderas