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

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

6 April 2021

Tamas B. Fehér

Christoph Angerer

Silvia Severini

Florian Matthes

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

11 / 11 papers shown

Title
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution Ruiyang Xu Jialun Cao Yaojie Lu Ming Wen Hongyu Lin Xianpei Han Ben He Shing-Chi Cheung Le Sun LRM ELM 39 3 0 23 Aug 2024
Prompting Techniques for Secure Code Generation: A Systematic Investigation Catherine Tony Nicolás E. Díaz Ferreyra Markus Mutas Salem Dhiff Riccardo Scandariato SILM 82 9 0 09 Jul 2024
Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance Jiri Gesi Iftekhar Ahmed 57 0 0 26 Feb 2024
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 36 15 0 09 May 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models Changan Niu Chuanyi Li Vincent Ng Bin Luo ELM ALM 36 9 0 08 Feb 2023
Pre-Training Representations of Binary Code Using Contrastive Learning Yifan Zhang Chen Huang Yueke Zhang Kevin Cao Scott Thomas Andersen Huajie Shao Kevin Leach Yu Huang 57 3 0 11 Oct 2022
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness Haoye Tian Xunzhu Tang Andrew Habib Shangwen Wang Kui Liu Xin Xia Jacques Klein Tegawende F. Bissyande 46 25 0 08 Aug 2022
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work Chengbo Zheng Dakuo Wang A. Wang Xiaojuan Ma 27 52 0 21 Mar 2022
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective Erfan Al-Hossami Samira Shaikh 32 6 0 10 Feb 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Chenyu You Guosheng Lin 249 1,512 0 02 Sep 2021
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015