文章
103
标签
6
分类
0
LinLi's Blog
代码表征预训练语言模型学习指南:原理、分析和代码
发表于
2023-06-03
|
更新于
2023-10-23
|
阅读量:
Hey, password is required here.
文章作者:
Lin Li
文章链接:
http://example.com/2023/06/03/%E4%BB%A3%E7%A0%81%E8%A1%A8%E5%BE%81%E9%A2%84%E8%AE%AD%E7%BB%83%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B%E5%AD%A6%E4%B9%A0%E6%8C%87%E5%8D%97%EF%BC%9A%E5%8E%9F%E7%90%86%E3%80%81%E5%88%86%E6%9E%90%E5%92%8C%E4%BB%A3%E7%A0%81/
版权声明:
本博客所有文章除特别声明外,均采用
CC BY-NC-SA 4.0
许可协议。转载请注明来自
LinLi's Blog
!
上一篇
Restoring the Executability of Jupyter Notebooks by Automatic Upgrade of Deprecated APIs
下一篇
预训练语言模型的前世今生 - 从Word Embedding到BERT
Lin Li
今日事,今日毕
文章
103
标签
6
分类
0
Follow Me
公告
This is my Blog
目录
1.
代码表征预训练语言模型学习指南:原理、分析和代码
1.1.
CuBERT
1.2.
CodeBERT
1.3.
GraphCodeBERT
1.4.
GPT-C
1.5.
Code-GPT
1.6.
PLBART
1.7.
CodeT5
1.8.
UniXcoder
1.9.
相关代码整理
1.10.
总结
最新文章
SMT Solver Validation Empowered by Large Pre-trained Language Models
2024-10-19
MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
2024-10-13
Domain Adaptation for Code Model-Based Unit Test Case Generation
2024-10-12
LPR: Large Language Models-Aided Program Reduction
2024-10-10
Understanding and Detecting SQL Function Bugs
2024-10-04