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 for Digital Forensic Investigation: The Good, The Bad, and The Unknown
Mark Scanlon, Frank Breitinger, Christopher Hargreaves, Jan-Niclas Hilgert, John Sheppard
Unmasking the giant: A comprehensive evaluation of ChatGPT's proficiency in coding algorithms and data structures
Sayed Erfan Arefin, Tasnia Ashrafi Heya, Hasan Al-Qudah, Ynes Ineza, Abdul Serwadda
ChatGPT may excel in States Medical Licensing Examination but falters in basic Linear Algebra
Eli Bagno, Thierry Dana-Picard, Shulamit Reches
Exploring the Potential of AI-Generated Synthetic Datasets: A Case Study on Telematics Data with ChatGPT
Ryan Lingo
Product Information Extraction using ChatGPT
Alexander Brinkmann, Roee Shraga, Reng Chiz Der, Christian Bizer