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Exploring Transformers in Natural Language Generation: GPT, BERT, and
  XLNet

Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet

16 February 2021
M. O. Topal
Anil Bas
Imke van Heerden
    LLMAG
    AI4CE
ArXivPDFHTML

Papers citing "Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet"

5 / 5 papers shown
Title
AE-GPT: Using Large Language Models to Extract Adverse Events from
  Surveillance Reports-A Use Case with Influenza Vaccine Adverse Events
AE-GPT: Using Large Language Models to Extract Adverse Events from Surveillance Reports-A Use Case with Influenza Vaccine Adverse Events
Yiming Li
Xiaodong Lin
Jianping He
Cui Tao
LM&MA
18
25
0
28 Sep 2023
Detecting software vulnerabilities using Language Models
Detecting software vulnerabilities using Language Models
Marwan Omar
18
11
0
23 Feb 2023
Generative Transformers for Design Concept Generation
Generative Transformers for Design Concept Generation
Qihao Zhu
Jianxi Luo
AI4CE
6
48
0
07 Nov 2022
Machine Generated Text: A Comprehensive Survey of Threat Models and
  Detection Methods
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods
Evan Crothers
Nathalie Japkowicz
H. Viktor
DeLMO
20
107
0
13 Oct 2022
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
1