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METHODS: First, a set of evaluation criteria is designed based on a comprehensive literature review.
Touch your heart: A tone-aware chatbot for customer care on social media
Tianran Hu, Anbang Xu, Zhe Liu, Quanzeng You, Yufan Guo, Vibha Sinha, Jiebo Luo, and Rama Akkiraju. 2018 · 2018
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What This Computer Needs Is a Physician: Humanism and Artificial Intelligence
Abraham Verghese, Nigam H. Shah, and Robert A. Harrington. 2018 · 2018
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Unlocking the drivers of big data analytics value in firms
Nadine Côrte-Real, Pedro Ruivo, Tiago Oliveira, and Aleš Popovič. 2019 · 2019
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A review of challenges and opportunities in machine learning for health
Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L Beam, Irene Y Chen, and Rajesh Ranganath. 2020 · 2020
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How should my chatbot interact? a survey on social characteristics in human–chatbot interaction design
Ana Paula Chaves and Marco Aurelio Gerosa. 2021 · 2021
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Considering the possibilities and pitfalls of generative pre-trained transformer 3 (gpt-3) in healthcare delivery
Diane M Korngiebel and Sean D Mooney. 2021 · 2021
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Towards standard criteria for human evaluation of chatbots: A survey
Hongru Liang and Huaqing Li. 2021 · 2021
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Thang M. Pham, Trung Bui, Long Mai, and Anh Nguyen. 2021 · 2021
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Machine intuition: Uncovering human-like intuitive decision-making in gpt-3.5
Thilo Hagendorff, Sarah Fabi, and Michal Kosinski. 2022 · 2022
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Chatgpt: Optimizing language models for dialogue
J Schulman, B Zoph, C Kim, J Hilton, J Menick, J Weng, JFC Uribe, L Fedus, L Metz, M Pokorny, et al. 2022 · 2022
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Operationalizing and implementing pretrained, large artificial intelligence linguistic models in the us health care system: Outlook of generative pretrained transformer 3 (gpt-3) as a service model
Emre Sezgin, Joseph Sirrianni, and Simon L Linwood. 2022 · 2022
Cited alongside, same era.
Why chatgpt is such a big deal for education
Brent A Anders. 2023 · 2023
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Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum
John W. Ayers, Adam Poliak, Mark Dredze, Eric C. Leas, Zechariah Zhu, Jessica B. Kelley, Dennis J. Faix, Aaron M. Goodman, Christopher A. Longhurst, Michael Hogarth, and Davey M. Smith. 2023 · 2023
Cited alongside, same era.
Conversational ai models for ophthalmic diagnosis: Comparison of chatgpt and the isabel pro differential diagnosis generator
Benefits, limits, and risks of gpt-4 as an ai chatbot for medicine
Peter Lee, Sebastien Bubeck, and Joseph Petro. 2023 · 2023
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The diagnostic and triage accuracy of the gpt-3 artificial intelligence model
David M Levine, Rudraksh Tuwani, Benjamin Kompa, Amita Varma, Samuel G. Finlayson, Ateev Mehrotra, and Andrew Beam. 2023 · 2023
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Assessing the utility of chatgpt throughout the entire clinical workflow
Arya S Rao, Michael Pang, John Kim, Meghana Kamineni, Winston Lie, Anoop K Prasad, Adam Landman, Keith Dryer, and Marc D Succi. 2023 · 2023
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Evaluation of chatgpt as a question answering system for answering complex questions
Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, and Guilin Qi. 2023 · 2023
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023
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Michael Balas and Edsel B. Ing. 2023 · 2023
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Evaluating large language models on a highly-specialized topic, radiation oncology physics
Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence T. Sio, Lisa A. McGee, Jonathan B. Ashman, Xiang Li, Tianming Liu, Jiajian Shen, and Wei Liu. 2023 · 2023
Cited alongside, same era.
Assessing the accuracy and reliability of ai-generated medical responses: an evaluation of the chat-gpt model
Douglas Johnson, Rachel Goodman, J Patrinely, Cosby Stone, Eli Zimmerman, Rebecca Donald, Sam Chang, Sean Berkowitz, Avni Finn, Eiman Jahangir, et al. 2023 · 2023
Cited alongside, same era.
The future of ai in medicine: a perspective from a chatbot
Michael R King. 2023 · 2023
Cited alongside, same era.
Performance of chatgpt on usmle: Potential for ai-assisted medical education using large language models
Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, and Victor Tseng. 2023 · 2023
Cited alongside, same era.
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2023a
Cited in the paper.
Summary of chatgpt/gpt-4 research and perspective towards the future of large language models
Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Dajiang Zhu, Xiang Li, Ning Qiang, Dingang Shen, Tianming Liu, and Bao Ge. 2023b
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Ai and the fci: Can chatgpt project an understanding of introductory physics?
Colin G. West. 2023 · 2023
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A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C. Schmidt. 2023 · 2023
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Exploring the limits of chatgpt for query or aspect-based text summarization
Xianjun Yang, Yan Li, Xinlu Zhang, Haifeng Chen, and Wei Cheng. 2023 · 2023
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