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Improving Code Autocompletion with Transfer Learning

Improving Code Autocompletion with Transfer Learning

12 May 2021
Wenjie Zhou
Seohyun Kim
V. Murali
Gareth Ari Aye
ArXivPDFHTML

Papers citing "Improving Code Autocompletion with Transfer Learning"

5 / 5 papers shown
Title
In-IDE Human-AI Experience in the Era of Large Language Models; A
  Literature Review
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review
Agnia Sergeyuk
Sergey Titov
M. Izadi
31
6
0
19 Jan 2024
AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed
  methods evaluation
AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation
V. Murali
C. Maddila
Imad Ahmad
Michael Bolin
Daniel Cheng
Negar Ghorbani
Renuka Fernandez
Nachiappan Nagappan
Peter C. Rigby
16
14
0
20 May 2023
xASTNN: Improved Code Representations for Industrial Practice
xASTNN: Improved Code Representations for Industrial Practice
Zhiwei Xu
Min Zhou
Xibin Zhao
Yang Chen
Xi Cheng
Hongyu Zhang
AI4TS
24
5
0
13 Mar 2023
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
198
1,105
0
09 Feb 2021
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep
  Learning for Source Code
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code
Nadezhda Chirkova
Sergey Troshin
43
12
0
23 Oct 2020
1