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
Large Language Models in Introductory Programming Education: ChatGPT's Performance and Implications for Assessments
Natalie Kiesler, Daniel Schiffner
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification
Yibo Hu, Erick Skorupa Parolin, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito J. D'Orazio
Playing with Words: Comparing the Vocabulary and Lexical Richness of ChatGPT and Humans
Pedro Reviriego, Javier Conde, Elena Merino-Gómez, Gonzalo Martínez, José Alberto Hernández
ChatGPT in Drug Discovery: A Case Study on Anti-Cocaine Addiction Drug Development with Chatbots
Rui Wang, Hongsong Feng, Guo-Wei Wei