Break-It-Fix-It: Unsupervised Learning for Program Repair

11 June 2021

Papers citing "Break-It-Fix-It: Unsupervised Learning for Program Repair"

20 / 20 papers shown

Title
APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning Azim Ospanov Farzan Farnia Roozbeh Yousefzadeh LRM 29 0 0 09 May 2025
Planning-Driven Programming: A Large Language Model Programming Workflow Chao Lei Yanchuan Chang N. Lipovetzky Krista A. Ehinger 81 2 0 10 Jan 2025
MdEval: Massively Multilingual Code Debugging Shukai Liu Linzheng Chai Jian Yang Jiajun Shi He Zhu ... Yu Hao Liqun Yang Guanglin Niu Ge Zhang Z. Li LRM ELM 70 6 0 04 Nov 2024
Learning Program Behavioral Models from Synthesized Input-Output Pairs Tural Mammadov Dietrich Klakow Alexander Koller Andreas Zeller 39 3 0 11 Jul 2024
Performance-Aligned LLMs for Generating Fast Code Daniel Nichols Pranav Polasam Harshitha Menon Aniruddha Marathe T. Gamblin A. Bhatele 27 8 0 29 Apr 2024
Is Self-Repair a Silver Bullet for Code Generation? Theo X. Olausson J. Inala Chenglong Wang Jianfeng Gao Armando Solar-Lezama LRM 26 108 0 16 Jun 2023
SelfEvolve: A Code Evolution Framework via Large Language Models Shuyang Jiang Yuhao Wang Yu Wang 16 32 0 05 Jun 2023
A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification Norbert Tihanyi Ridhi Jain Yiannis Charalambous M. Ferrag Youcheng Sun Lucas C. Cordeiro 21 48 0 24 May 2023
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification Anastasiia Grishina Max Hort Leon Moonen 22 6 0 08 May 2023
On ML-Based Program Translation: Perils and Promises Aniketh Malyala K. Zhou Baishakhi Ray Saikat Chakraborty 24 5 0 21 Feb 2023
A Simple, Yet Effective Approach to Finding Biases in Code Generation Spyridon Mouselinos Mateusz Malinowski Henryk Michalewski 10 7 0 31 Oct 2022
Repairing Bugs in Python Assignments Using Large Language Models Jialu Zhang J. Cambronero Sumit Gulwani Vu Le R. Piskac Gustavo Soares Gust Verbruggen KELM 17 53 0 29 Sep 2022
Neurosymbolic Repair for Low-Code Formula Languages Rohan Bavishi Harshit Joshi José Pablo Cambronero Sánchez Anna Fariha Sumit Gulwani Vu Le Ivan Radicek A. Tiwari 16 13 0 24 Jul 2022
InCoder: A Generative Model for Code Infilling and Synthesis Daniel Fried Armen Aghajanyan Jessy Lin Sida I. Wang Eric Wallace Freda Shi Ruiqi Zhong Wen-tau Yih Luke Zettlemoyer M. Lewis SyDa 22 625 0 12 Apr 2022
Compilable Neural Code Generation with Compiler Feedback Xin Wang Yasheng Wang Yao Wan Fei Mi Yitong Li Pingyi Zhou Jin Liu Hao Wu Xin Jiang Qun Liu 23 65 0 10 Mar 2022
Neural Program Repair: Systems, Challenges and Solutions Wenkang Zhong Chuanyi Li Jidong Ge B. Luo 21 13 0 22 Feb 2022
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics Toufique Ahmed Noah Rose Ledesma Prem Devanbu 59 19 0 29 Apr 2021
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 160 62 0 08 Dec 2020
Patching as Translation: the Data and the Metaphor Yangruibo Ding Baishakhi Ray Prem Devanbu Vincent Hellendoorn 114 64 0 24 Aug 2020
sk_p: a neural program corrector for MOOCs Yewen Pu Karthik Narasimhan Armando Solar-Lezama Regina Barzilay 26 120 0 11 Jul 2016