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
Towards Designing a ChatGPT Conversational Companion for Elderly People
Abeer Alessa, Hend Al-Khalifa
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task
Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu
In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT
Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang
An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Fang Zeng, Zhengliang Liu, Xi Jiang, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li
Testing the Reliability of ChatGPT for Text Annotation and Classification: A Cautionary Remark
Michael V. Reiss
The Self-Perception and Political Biases of ChatGPT
Jérôme Rutinowski, Sven Franke, Jan Endendyk, Ina Dormuth, Markus Pauly
ChatGPT: Applications, Opportunities, and Threats
Aram Bahrini, Mohammadsadra Khamoshifar, Hossein Abbasimehr, Robert J. Riggs, Maryam Esmaeili, Rastin Mastali Majdabadkohne, Morteza Pasehvar
The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China
Lan Chen, Xi Chen, Shiyu Wu, Yaqi Yang, Meng Chang, Hengshu Zhu
ChatGPT cites the most-cited articles and journals, relying solely on Google Scholar's citation counts. As a result, AI may amplify the Matthew Effect in environmental science
Eduard Petiska
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev, Weizheng Wang, Lewis Nkenyereye
Using Multiple RDF Knowledge Graphs for Enriching ChatGPT Responses
Michalis Mountantonakis, Yannis Tzitzikas
ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning
Viet Dac Lai, Nghia Trung Ngo, Amir Pouran Ben Veyseh, Hieu Man, Franck Dernoncourt, Trung Bui, Thien Huu Nguyen
ChatGPT is all you need to decolonize sub-Saharan Vocational Education
Isidora Tourni, Georgios Grigorakis, Isidoros Marougkas, Konstantinos Dafnis, Vassiliki Tassopoulou
Zero-shot Temporal Relation Extraction with ChatGPT
Chenhan Yuan, Qianqian Xie, Sophia Ananiadou
Toxicity in ChatGPT: Analyzing Persona-assigned Language Models
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
Multi-step Jailbreaking Privacy Attacks on ChatGPT
Haoran Li, Dadi Guo, Wei Fan, Mingshi Xu, Jie Huang, Fanpu Meng, Yangqiu Song