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 Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitality
Manolis Remountakis, Konstantinos Kotis, Babis Kourtzis, George E. Tsekouras
AI and Education: An Investigation into the Use of ChatGPT for Systems Thinking
Holger Arndt
Unveiling Security, Privacy, and Ethical Concerns of ChatGPT
Xiaodong Wu, Ran Duan, Jianbing Ni
Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions
Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur, Mohammad Nadeem, Dag Øivind Madsen, Yashbir Singh, Shadi Atalla, Wathiq Mansoor
How User Language Affects Conflict Fatality Estimates in ChatGPT
Daniel Kazenwadel, Christoph V. Steinert
How is ChatGPT's behavior changing over time?
Lingjiao Chen, Matei Zaharia, James Zou
Development of the ChatGPT, Generative Artificial Intelligence and Natural Large Language Models for Accountable Reporting and Use (CANGARU) Guidelines
Giovanni E. Cacciamani, Michael B. Eppler, Conner Ganjavi, Asli Pekan, Brett Biedermann, Gary S. Collins, Inderbir S. Gill
ChatGPT is Good but Bing Chat is Better for Vietnamese Students
Xuan-Quy Dao, Ngoc-Bich Le
Extending the Frontier of ChatGPT: Code Generation and Debugging
Fardin Ahsan Sakib, Saadat Hasan Khan, A. H. M. Rezaul Karim
Mini-Giants: "Small" Language Models and Open Source Win-Win
Zhengping Zhou, Lezhi Li, Xinxi Chen, Andy Li
Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow
Maria del Rio-Chanona, Nadzeya Laurentsyeva, Johannes Wachs
C3: Zero-shot Text-to-SQL with ChatGPT
Xuemei Dong, Chao Zhang, Yuhang Ge, Yuren Mao, Yunjun Gao, lu Chen, Jinshu Lin, Dongfang Lou
Fairness of ChatGPT and the Role Of Explainable-Guided Prompts
Yashar Deldjoo
LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT
Lars-Peter Meyer, Claus Stadler, Johannes Frey, Norman Radtke, Kurt Junghanns, Roy Meissner, Gordian Dziwis, Kirill Bulert, Michael Martin
ChatGPT and Bard Responses to Polarizing Questions
Abhay Goyal, Muhammad Siddique, Nimay Parekh, Zach Schwitzky, Clara Broekaert, Connor Michelotti, Allie Wong, Lam Yin Cheung, Robin O Hanlon, Lam Yin Cheung, Munmun De Choudhury, Roy Ka-Wei Lee, Navin Kumar