Challenges of Using Pre-trained Models: the Practitioners' Perspective-Reference-Cited by-同舟云学术

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Challenges of Using Pre-trained Models: the Practitioners' Perspective

Published:2024-03-12 Issue: Volume:15 Page:67-78
ISSN:
Container-title:2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
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Author:

Tan Xin¹,Li Taichuan²,Chen Ruohe³,Liu Fang¹,Zhang Li¹

Affiliation:

1. School of Computer Science and Engineering, Beihang University,State Key Laboratory of Complex & Critical Software Environment,Beijing,China

2. School of Computer Science and Engineering, Beihang University,Beijing,China

3. School of Economics and Management, Beihang University,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10589599/10589610/10589901.pdf?arnumber=10589901

Reference88 articles.

1. Review of pre-training techniques for natural language processing;Deguang;Journal of Frontiers of Computer Science & Technology,2021

2. Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey

3. What do pre-trained code models know about code?

4. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin;arXiv preprint,2018

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