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
Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers
R. Stuart Geiger, Flynn O'Sullivan, Elsie Wang, Jonathan Lo
ChatGPT as a Solver and Grader of Programming Exams written in Spanish
Pablo Fernández-Saborido, Marcos Fernández-Pichel, David E. Losada
Deploying Open-Source Large Language Models: A performance Analysis
Yannis Bendi-Ouis, Dan Dutarte, Xavier Hinaut