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Automated Source Code Generation and Auto-completion Using Deep
  Learning: Comparing and Discussing Current Language-Model-Related Approaches

Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches

16 September 2020
Juan Cruz-Benito
Sanjay Vishwakarma
Francisco Martín-Fernández
Ismael Faro Ibm Quantum
ArXivPDFHTML

Papers citing "Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches"

3 / 3 papers shown
Title
Validating LLM-Generated Programs with Metamorphic Prompt Testing
Validating LLM-Generated Programs with Metamorphic Prompt Testing
Xiaoyin Wang
Dakai Zhu
29
3
0
11 Jun 2024
SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files
  and Find Bugs in the Simulink Toolchain
SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink Toolchain
S. L. Shrestha
Christoph Csallner
6
14
0
16 May 2021
Deep Learning for Source Code Modeling and Generation: Models,
  Applications and Challenges
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
54
152
0
13 Feb 2020
1