Emma Yann Zhang

Emma Yann Zhang


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 December 2023 in Sci
Verified
Journal Article
Open access
PDF file
EZEmma Yann Zhang
Emma Yann Zhang
Adrian David CheokAdrian David Cheok
Adrian David Cheok
ZPZhigeng Pan
Zhigeng Pan
Jun CaiJun Cai
Jun Cai
Ying YanYing Yan
Ying Yan
In recent years, generative transformers have become increasingly prevalent in the field of artificial intelligence, especially within the scope of natural language processing. This paper provides a comprehensive overview of these models, beginning with the foundational theories introduced by Alan Turing and extending to contemporary generative transformer architectures. The manuscript serves as a review, historical account, and tutorial, aiming to offer a thorough understanding of the models’ importance, underlying principles, and wide-ranging applications. The tutorial section includes a practical guide for constructing a basic generative transformer model. Additionally, the paper addresses the challenges, ethical implications, and future directions in the study of generative models.