Generating Bug-Fixes Using Pretrained Transformers

16 April 2021

Papers citing "Generating Bug-Fixes Using Pretrained Transformers"

21 / 21 papers shown

Title
Program Repair with Minimal Edits Using CodeT5 Atsushi Shirafuji Md. Mostafizer Rahman Md. Faizul Ibne Amin Yutaka Watanobe 27 9 0 26 Sep 2023
DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection Sudipta Paria Aritra Dasgupta Swarup Bhunia 11 21 0 14 Aug 2023
Neural Machine Translation for Code Generation K. Dharma Clayton T. Morrison 32 4 0 22 May 2023
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training Rosalia Tufano L. Pascarella Gabriele Bavota 33 19 0 08 Feb 2023
Fixing Hardware Security Bugs with Large Language Models Baleegh Ahmad Shailja Thakur Benjamin Tan Ramesh Karri Hammond Pearce 33 43 0 02 Feb 2023
A Survey on Pretrained Language Models for Neural Code Intelligence Yichen Xu Yanqiao Zhu 9 17 0 20 Dec 2022
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities Wei Ma Shangqing Liu Mengjie Zhao Xiaofei Xie Wenhan Wang Q. Hu Jiexin Zhang Yang Liu 27 16 0 20 Dec 2022
Exploring and Evaluating Personalized Models for Code Generation Andrei Zlotchevski Dawn Drain Alexey Svyatkovskiy Colin B. Clement Neel Sundaresan Michele Tufano 20 11 0 29 Aug 2022
CoditT5: Pretraining for Source Code and Natural Language Editing Jiyang Zhang Sheena Panthaplackel Pengyu Nie Junyi Jessy Li Miloš Gligorić KELM 17 88 0 10 Aug 2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code Changan Niu Chuanyi Li Bin Luo Vincent Ng SyDa VLM 55 48 0 24 May 2022
On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules Divyam Goel Raman Grover Fatemeh H. Fard 20 18 0 19 Apr 2022
ReACC: A Retrieval-Augmented Code Completion Framework Shuai Lu Nan Duan Hojae Han Daya Guo Seung-won Hwang Alexey Svyatkovskiy 25 139 0 15 Mar 2022
Training and Evaluating a Jupyter Notebook Data Science Assistant Shubham Chandel Colin B. Clement Guillermo Serrato Neel Sundaresan 40 43 0 30 Jan 2022
Examining Zero-Shot Vulnerability Repair with Large Language Models Hammond Pearce Benjamin Tan Baleegh Ahmad Ramesh Karri Brendan Dolan-Gavitt AAML ELM 26 196 0 03 Dec 2021
Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules Steve Kommrusch Monperrus Martin L. Pouchet 14 9 0 22 Sep 2021
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy Colin B. Clement Shuai Lu Xiaoyu Liu Michele Tufano Dawn Drain Nan Duan Neel Sundaresan Alexey Svyatkovskiy 27 27 0 17 Sep 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 78 5,055 0 07 Jul 2021
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons Dawn Drain Colin B. Clement Guillermo Serrato Neel Sundaresan 17 31 0 19 May 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 261 4,489 0 23 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 271 1,896 0 10 Jan 2017