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 and biometrics: an assessment of face recognition, gender detection, and age estimation capabilities
Ahmad Hassanpour, Yasamin Kowsari, Hatef Otroshi Shahreza, Bian Yang, Sebastien Marcel
ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation
Pittawat Taveekitworachai, Febri Abdullah, Mury F. Dewantoro, Yi Xia, Pratch Suntichaikul, Ruck Thawonmas, Julian Togelius, Jochen Renz
The Ink Splotch Effect: A Case Study on ChatGPT as a Co-Creative Game Designer
Asad Anjum, Yuting Li, Noelle Law, M Charity, Julian Togelius
Distilled ChatGPT Topic & Sentiment Modeling with Applications in Finance
Olivier Gandouet, Mouloud Belbahri, Armelle Jezequel, Yuriy Bodjov
The Heterogeneous Productivity Effects of Generative AI
David Kreitmeir, Paul A. Raschky