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
Student Mastery or AI Deception? Analyzing ChatGPT's Assessment Proficiency and Evaluating Detection Strategies
Kevin Wang, Seth Akins, Abdallah Mohammed, Ramon Lawrence
Real Customization or Just Marketing: Are Customized Versions of Chat GPT Useful?
Eduardo C. Garrido-Merchán, Jose L. Arroyo-Barrigüete, Francisco Borrás-Pala, Leandro Escobar-Torres, Carlos Martínez de Ibarreta, Jose María Ortiz-Lozano, Antonio Rua-Vieites
chatGPT for generating questions and assessments based on accreditations
Rania Anwar Aboalela
ChatGPT Application In Summarizing An Evolution Of Deep Learning Techniques In Imaging: A Qualitative Study
Arman Sarraf, Amirabbas Abbaspour
ChatGPT and Beyond: The Generative AI Revolution in Education
Mohammad AL-Smadi
Comparative Analysis of ChatGPT, GPT-4, and Microsoft Bing Chatbots for GRE Test
Mohammad Abu-Haifa, Bara'a Etawi, Huthaifa Alkhatatbeh, Ayman Ababneh
ChatGPT and post-test probability
Samuel J. Weisenthal
Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement
Yanyan Wei, Zhao Zhang, Jiahuan Ren, Xiaogang Xu, Richang Hong, Yi Yang, Shuicheng Yan, Meng Wang
How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction
Mohan Raj Chanthran, Lay-Ki Soon, Huey Fang Ong, Bhawani Selvaretnam
Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT
Abdelkarim El-Hajjami, Nicolas Fafin, Camille Salinesi
Fumbling in Babel: An Investigation into ChatGPT's Language Identification Ability
Wei-Rui Chen, Ife Adebara, Khai Duy Doan, Qisheng Liao, Muhammad Abdul-Mageed
"It's not like Jarvis, but it's pretty close!" -- Examining ChatGPT's Usage among Undergraduate Students in Computer Science
Ishika Joshi, Ritvik Budhiraja, Harshal D Akolekar, Jagat Sesh Challa, Dhruv Kumar