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ChatGPT is a conversational artificial intelligence that is a member of the generative pre-trained transformer of the large language model family.
2019
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2019
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2019
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J. Botha and H. Pieterse, “Fake news and deepfakes: A dangerous threat for 21st century information security,” in ICCWS 2020 15th International Conference on Cyber Warfare and Security. Academic Conferences and publishing limited , 2020, p. 57
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A. Gillioz, J. Casas, E. Mugellini, and O. Abou Khaled, “Overview of the transformer-based models for nlp tasks,” in 2020 15th Conference on Computer Science and Information Systems (FedCSIS) . IEEE, 2020, pp. 179–183
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D. Chicco and G. Jurman, “The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation,” BMC genomics , vol. 21, pp. 1–13, 2020
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C.-F. R. Chen, Q. Fan, and R. Panda, “Crossvit: Cross-attention multi-scale vision transformer for image classification,” in Proceedings of the IEEE/CVF international conference on computer vision , 2021, pp. 357–366
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S. Singh and A. Mahmood, “The nlp cookbook: modern recipes for transformer based deep learning architectures,” IEEE Access , vol. 9, pp. 68 675–68 702, 2021
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A. Harada, D. Bollegala, and N. P. Chandrasiri, “Discrimination of human-written and human and machine written sentences using text consistency,” in 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) . IEEE, 2021, pp. 41–47
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T. Fagni, F. Falchi, M. Gambini, A. Martella, and M. Tesconi, “Tweepfake: About detecting deepfake tweets,” Plos one , vol. 16, no. 5, p. e0251415, 2021
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J. Qadir, “Engineering education in the era of chatgpt: Promise and pitfalls of generative ai for education,” 2022
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A. Feder, K. A. Keith, E. Manzoor, R. Pryzant, D. Sridhar, Z. Wood-Doughty, J. Eisenstein, J. Grimmer, R. Reichart, M. E. Roberts et al. , “Causal inference in natural language processing: Estimation, prediction, interpretation and beyond,” Transactions of the Association for Computational Linguistics , vol. 10, pp. 1138–1158, 2022
2022
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D. Khurana, A. Koli, K. Khatter, and S. Singh, “Natural language processing: State of the art, current trends and challenges,” Multimedia tools and applications , vol. 82, no. 3, pp. 3713–3744, 2023
2023
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T. Zhang, A. M. Schoene, S. Ji, and S. Ananiadou, “Natural language processing applied to mental illness detection: a narrative review,” NPJ digital medicine , vol. 5, no. 1, p. 46, 2022
2022
Cited alongside, same era.
M. Ntahobari, L. Kuhlmann, M. Boley, and Z. R. Hesabi, “Enhanced extra trees classifier for epileptic seizure prediction,” in 2022 5th International Conference on Signal Processing and Information Security (ICSPIS) . IEEE, 2022, pp. 175–179
2022
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2023
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