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Email continues to be a pivotal and extensively utilized communication medium within professional and commercial domains.
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Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification
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Attention is all you need
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Language models are unsupervised multitask learners
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Language models are few-shot learners
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Header based email spam detection framework using support vector machine (svm) technique
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Predictive analytics for spam email classification using machine learning techniques
P. Kumar · 2020
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T. M. Ma, K. Yamamori, and A. Thida · 2020
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J. Cao, M. Li, M. Wen, and S. chi Cheung · 2023
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A review of spam email detection: analysis of spammer strategies and the dataset shift problem
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Column type annotation using chatgpt, 2023
K. Korini and C. Bizer · 2023
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Can chatgpt forecast stock price movements? return predictability and large language models
A. Lopez-Lira and Y. Tang · 2023
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Calibrate before use: Improving few-shot performance of language models
Z. Zhao, E. Wallace, S. Feng, D. Klein, and S. Singh · 2021
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Machine learning techniques for spam detection in email and iot platforms: Analysis and research challenges
N. Ahmed, R. Amin, H. Aldabbas, D. Koundal, B. Alouffi, and T. Shah · 2022
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What can transformers learn in-context? A case study of simple function classes
S. Garg, D. Tsipras, P. Liang, and G. Valiant · 2022
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Training language models to follow instructions with human feedback
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray, et al · 2022
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Enhancement of email spam detection using improved deep learning algorithms for cyber security
K. V. Samarthrao and V. M. Rohokale · 2022
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Chain-of-thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, B. Ichter, F. Xia, E. H. Chi, Q. V. Le, and D. Zhou · 2022
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E-mail spam detection using machine learning–knn
A. R. Yeruva, D. Kamboj, P. Shankar, U. S. Aswal, A. K. Rao, and C. Somu · 2022
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Testing the reliability of chatgpt for text annotation and classification: A cautionary remark, 2023
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Mining twitter for insights into chatgpt sentiment: A machine learning approach
S. Sharma, R. Aggarwal, and M. Kumar · 2023
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Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs, 2023
Y. Shi, H. Ma, W. Zhong, G. Mai, X. Li, T. Liu, and J. Huang · 2023
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Applying bert and chatgpt for sentiment analysis of lyme disease in scientific literature, 2023
T. Susnjak · 2023
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Is chatgpt a good sentiment analyzer? a preliminary study, 2023
Z. Wang, Q. Xie, Z. Ding, Y. Feng, and R. Xia · 2023
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Email spam detection using hierarchical attention hybrid deep learning method
S. Zavrak and S. Yilmaz · 2023
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Chatagri: Exploring potentials of chatgpt on cross-linguistic agricultural text classification, 2023
B. Zhao, W. Jin, J. D. Ser, and G. Yang · 2023
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Detection of twitter spam using glove vocabulary features, bidirectional LSTM and convolution neural network
P. Manasa, A. Malik, and I. Batra · 2024
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