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CodeTrans: Towards Cracking the Language of Silicon's Code Through
  Self-Supervised Deep Learning and High Performance Computing
v1v2 (latest)

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

6 April 2021
Ahmed Elnaggar
Wei Ding
Llion Jones
Tom Gibbs
Tamas B. Fehér
Christoph Angerer
Silvia Severini
Florian Matthes
B. Rost
ArXiv (abs)PDFHTMLGithub (253★)

Papers citing "CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing"

28 / 28 papers shown
Previously on... Automating Code Review
Previously on... Automating Code Review
Robert Heumüller
Frank Ortmeier
182
1
0
25 Aug 2025
Code Summarization Beyond Function Level
Code Summarization Beyond Function Level
Vladimir Makharev
Vladimir Ivanov
406
5
0
23 Feb 2025
Understanding Defects in Generated Codes by Language Models
Understanding Defects in Generated Codes by Language ModelsConference of the Centre for Advanced Studies on Collaborative Research (CASCON), 2024
Ali Mohammadi Esfahani
N. Kahani
S. Ajila
296
4
0
23 Aug 2024
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and ExecutionAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Ruiyang Xu
Jialun Cao
Yaojie Lu
Ming Wen
Hongyu Lin
Xianpei Han
Ben He
Shing-Chi Cheung
Le Sun
LRMELM
639
22
0
23 Aug 2024
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Catherine Tony
Nicolás E. Díaz Ferreyra
Markus Mutas
Salem Dhiff
Riccardo Scandariato
SILM
535
50
0
09 Jul 2024
CommitBench: A Benchmark for Commit Message Generation
CommitBench: A Benchmark for Commit Message GenerationIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2024
Maximilian Schall
Tamara Czinczoll
Gerard de Melo
247
12
0
08 Mar 2024
Beyond Self-learned Attention: Mitigating Attention Bias in
  Transformer-based Models Using Attention Guidance
Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance
Jiri Gesi
Iftekhar Ahmed
265
1
0
26 Feb 2024
A Machine Learning Approach Towards SKILL Code Autocompletion
A Machine Learning Approach Towards SKILL Code Autocompletion
Enrique Dehaerne
Bappaditya Dey
Wannes Meert
250
0
0
04 Dec 2023
SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code
  Translation
SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code Translation
Jialing Pan
Adrien Sadé
Jin Kim
Eric Soriano
Guillem Sole
Sylvain Flamant
SyDa
269
24
0
24 Oct 2023
An Exploratory Literature Study on Sharing and Energy Use of Language
  Models for Source Code
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source CodeInternational Symposium on Empirical Software Engineering and Measurement (ESEM), 2023
Max Hort
Anastasiia Grishina
Leon Moonen
303
9
0
05 Jul 2023
Do Large Language Models Pay Similar Attention Like Human Programmers
  When Generating Code?
Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?
Bonan Kou
Shengmai Chen
Zhijie Wang
Lei Ma
Tianyi Zhang
ALM
286
24
0
02 Jun 2023
CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs
CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs
Nghi D. Q. Bui
Hung Le
Yue Wang
Junnan Li
Akhilesh Deepak Gotmare
Steven C. H. Hoi
360
31
0
31 May 2023
The Vault: A Comprehensive Multilingual Dataset for Advancing Code
  Understanding and Generation
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
Dũng Nguyễn Mạnh
Nam Le Hai
An Dau
A. Nguyen
Khanh N. Nghiem
Jingnan Guo
Nghi D. Q. Bui
357
26
0
09 May 2023
Can ChatGPT Pass An Introductory Level Functional Language Programming
  Course?
Can ChatGPT Pass An Introductory Level Functional Language Programming Course?
Shuai Wang
Yihan Zhang
Colette J. Shen
J. Lian
ELM
179
27
0
29 Apr 2023
Large Language Models and Simple, Stupid Bugs
Large Language Models and Simple, Stupid BugsIEEE Working Conference on Mining Software Repositories (MSR), 2023
Kevin Jesse
Toufique Ahmed
Prem Devanbu
Emily Morgan
ELM
314
100
0
20 Mar 2023
Knowledge Transfer for Pseudo-code Generation from Low Resource
  Programming Language
Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language
Ankita Sontakke
Kanika Kalra
Manasi Patwardhan
Lovekesh Vig
Raveendra Kumar Medicherla
Ravindra Naik
Shrishti Pradhan
177
3
0
16 Mar 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code
  Models
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code ModelsInternational Conference on Software Engineering (ICSE), 2023
Changan Niu
Chuanyi Li
Vincent Ng
Bin Luo
ELMALM
498
18
0
08 Feb 2023
Pre-Training Representations of Binary Code Using Contrastive Learning
Pre-Training Representations of Binary Code Using Contrastive Learning
Y. Zhang
Chen Huang
Yueke Zhang
Huajie Shao
Scott Thomas Andersen
Huajie Shao
452
6
0
11 Oct 2022
Is this Change the Answer to that Problem? Correlating Descriptions of
  Bug and Code Changes for Evaluating Patch Correctness
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch CorrectnessInternational Conference on Automated Software Engineering (ASE), 2022
Haoye Tian
Xunzhu Tang
Andrew Habib
Shangwen Wang
Kui Liu
Xin Xia
Jacques Klein
Tegawende F. Bissyande
197
32
0
08 Aug 2022
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code
  Intelligence
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang
Yuanhang Yang
Cuiyun Gao
Yun Peng
Hongyu Zhang
Michael R. Lyu
AAML
256
188
0
24 Jul 2022
Assessing Project-Level Fine-Tuning of ML4SE Models
Assessing Project-Level Fine-Tuning of ML4SE Models
Egor Bogomolov
Sergey Zhuravlev
Egor Spirin
T. Bryksin
193
8
0
07 Jun 2022
On The Cross-Modal Transfer from Natural Language to Code through
  Adapter Modules
On The Cross-Modal Transfer from Natural Language to Code through Adapter ModulesIEEE International Conference on Program Comprehension (ICPC), 2022
Divyam Goel
Raman Grover
Fatemeh H. Fard
191
22
0
19 Apr 2022
Telling Stories from Computational Notebooks: AI-Assisted Presentation
  Slides Creation for Presenting Data Science Work
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science WorkInternational Conference on Human Factors in Computing Systems (CHI), 2022
Chengbo Zheng
Dakuo Wang
A. Wang
Xiaojuan Ma
343
64
0
21 Mar 2022
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems
  Perspective
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective
Erfan Al-Hossami
Samira Shaikh
219
7
0
10 Feb 2022
Towards Neural Functional Program Evaluation
Towards Neural Functional Program Evaluation
Torsten Scholak
Jonathan Pilault
Joey Velez-Ginorio
NAIELM
105
0
0
09 Dec 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq Joty
Guosheng Lin
852
2,150
0
02 Sep 2021
Learning to Extend Program Graphs to Work-in-Progress Code
Learning to Extend Program Graphs to Work-in-Progress Code
Xuechen Li
Chris J. Maddison
Daniel Tarlow
254
2
0
28 May 2021
Improving Code Autocompletion with Transfer Learning
Improving Code Autocompletion with Transfer Learning
Wenjie Zhou
Seohyun Kim
V. Murali
Gareth Ari Aye
336
17
0
12 May 2021
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