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Large Language Models (LLMs) have shown impressive performance across a variety of Artificial Intelligence (AI) and natural language processing tasks, such as content creation, report generation, etc.
Language models are few-shot learners,
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Roberta: A robustly optimized BERT pretraining approach,
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, V. Stoyanov, · 1907
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Sentence-bert: Sentence embeddings using siamese bert-networks,
N. Reimers, I. Gurevych, · 1908
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A probabilistic multi-class strategy of one-vs.-rest support vector machines for cancer classification,
J.-H. Hong, S.-B. Cho, · 2008
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BERT: pre-training of deep bidirectional transformers for language understanding,
J. Devlin, M. Chang, K. Lee, K. Toutanova, · 2018
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Gltr: Statistical detection and visualization of generated text,
S. Gehrmann, H. Strobelt, A. M. Rush, · 2019
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Release strategies and the social impacts of language models,
I. Solaiman, M. Brundage, J. Clark, A. Askell, A. Herbert-Voss, J. Wu, A. Radford, G. Krueger, J. W. Kim, S. Kreps, et al., · 2019
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Unsupervised cross-lingual representation learning at scale,
A. Conneau, K. Khandelwal, N. Goyal, V. Chaudhary, G. Wenzek, F. Guzmán, E. Grave, M. Ott, L. Zettlemoyer, V. Stoyanov, · 2019
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Scibert: A pretrained language model for scientific text,
I. Beltagy, K. Lo, A. Cohan, · 2019
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Transformers: State-of-the-art natural language processing,
T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, T. Rault, R. Louf, M. Funtowicz, et al., · 2020
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Question classification based on cognitive levels using linear svc,
S. Sulaiman, R. A. Wahid, A. H. Ariffin, C. Z. Zulkifli, · 2020
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A robust technique of fake news detection using ensemble voting classifier and comparison with other classifiers,
A. Mahabub, · 2020
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Longformer: The long-document transformer,
I. Beltagy, M. E. Peters, A. Cohan, · 2020
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Robo-writers: the rise and risks of language-generating ai,
M. Hutson, · 2021
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A systematic review of automatic text summarization for biomedical literature and ehrs,
M. Wang, M. Wang, F. Yu, Y. Yang, J. Walker, J. Mostafa, · 2021
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Ethical and social risks of harm from language models,
L. Weidinger, J. Mellor, M. Rauh, C. Griffin, J. Uesato, P.-S. Huang, M. Cheng, M. Glaese, B. Balle, A. Kasirzadeh, et al., · 2021
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Unsupervised and distributional detection of machine-generated text,
M. Gallé, J. Rozen, G. Kruszewski, H. Elsahar, · 2021
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Deberta: Decoding-enhanced bert with disentangled attention,
P. He, X. Liu, J. Gao, W. Chen, · 2021
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Bloomberggpt: A large language model for finance,
S. Wu, O. Irsoy, S. Lu, V. Dabravolski, M. Dredze, S. Gehrmann, P. Kambadur, D. Rosenberg, G. Mann, · 2023
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A short survey of viewing large language models in legal aspect,
Z. Sun, · 2023
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Ethics of large language models in medicine and medical research,
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S. Zhang, S. Roller, N. Goyal, M. Artetxe, M. Chen, S. Chen, C. Dewan, M. Diab, X. Li, X. V. Lin, et al., · 2022
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Bloom: A 176b-parameter open-access multilingual language model,
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Artificial text detection with multiple training strategies,
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Dialog-22 ruatd generated text detection,
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Bertin: Efficient pre-training of a spanish language model using perplexity sampling,
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Maria: Spanish language models,
A. G. Fandiño, J. A. Estapé, M. Pàmies, J. L. Palao, J. S. Ocampo, C. P. Carrino, C. A. Oller, C. R. Penagos, A. G. Agirre, M. Villegas, · 2022
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Performance of chatgpt on usmle: Potential for ai-assisted medical education using large language models,
T. H. Kung, M. Cheatham, A. Medenilla, C. Sillos, L. De Leon, C. Elepaño, M. Madriaga, R. Aggabao, G. Diaz-Candido, J. Maningo, et al., · 2023
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Survey of hallucination in natural language generation,
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Chatgpt and large language models (llms) in healthcare: Opportunities and risks (2023)
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Detectgpt: Zero-shot machine-generated text detection using probability curvature,
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Overview of autextification at iberlef 2023: Detection and attribution of machine-generated text in multiple domains,
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