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SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

24 December 2018
Zimin Chen
Steve Kommrusch
Michele Tufano
L. Pouchet
Denys Poshyvanyk
Monperrus Martin
    KELM
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Papers citing "SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair"

50 / 134 papers shown
Title
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data
David de-Fitero-Dominguez
Antonio Garcia-Cabot
Eva García-López
SyDa
73
0
0
12 May 2025
Towards an Understanding of Context Utilization in Code Intelligence
Towards an Understanding of Context Utilization in Code Intelligence
Yanlin Wang
Kefeng Duan
Dewu Zheng
Ensheng Shi
F. Zhang
...
Xilin Liu
Yuchi Ma
Hongyu Zhang
Qianxiang Wang
Zibin Zheng
38
0
0
11 Apr 2025
On Explaining (Large) Language Models For Code Using Global Code-Based Explanations
On Explaining (Large) Language Models For Code Using Global Code-Based Explanations
David Nader-Palacio
Dipin Khati
Daniel Rodríguez-Cárdenas
Alejandro Velasco
Denys Poshyvanyk
LRM
52
0
0
21 Mar 2025
Unveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution
Unveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution
Zhi Chen
Wei Ma
Lingxiao Jiang
LLMAG
56
0
0
16 Mar 2025
UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation
UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation
Liangying Shao
Yanfu Yan
Denys Poshyvanyk
Jinsong Su
41
1
0
18 Feb 2025
SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors
SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors
Bohan Lyu
Siqiao Huang
Zichen Liang
Qi-An Sun
Jiaming Zhang
ELM
LRM
62
0
0
16 Feb 2025
AuPair: Golden Example Pairs for Code Repair
AuPair: Golden Example Pairs for Code Repair
Aditi Mavalankar
Hassan Mansoor
Zita Marinho
Masha Samsikova
Tom Schaul
KELM
LRM
209
0
0
12 Feb 2025
SoK: Towards Effective Automated Vulnerability Repair
SoK: Towards Effective Automated Vulnerability Repair
Ying Li
Faysal hossain shezan
Bomin wei
Gang Wang
Yuan Tian
128
1
0
31 Jan 2025
Treefix: Enabling Execution with a Tree of Prefixes
Treefix: Enabling Execution with a Tree of Prefixes
Beatriz Souza
Michael Pradel
52
1
0
21 Jan 2025
Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair
Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair
Qiong Feng
Xiaotian Ma
Jiayi Sheng
Ziyuan Feng
Wei Song
Peng Liang
118
0
0
05 Dec 2024
Fixing Security Vulnerabilities with AI in OSS-Fuzz
Fixing Security Vulnerabilities with AI in OSS-Fuzz
Yuntong Zhang
Jiawei Wang
Dominic Berzin
Martin Mirchev
Dongge Liu
Abhishek Arya
Oliver Chang
Abhik Roychoudhury
42
1
0
03 Nov 2024
Semantic-guided Search for Efficient Program Repair with Large Language
  Models
Semantic-guided Search for Efficient Program Repair with Large Language Models
Thanh Le-Cong
Bach Le
Toby Murray
33
0
0
22 Oct 2024
TRANSAGENT: An LLM-Based Multi-Agent System for Code Translation
TRANSAGENT: An LLM-Based Multi-Agent System for Code Translation
Zhiqiang Yuan
Weitong Chen
Hanlin Wang
Kai Yu
Xin Peng
Yiling Lou
LLMAG
33
11
0
30 Sep 2024
PromSec: Prompt Optimization for Secure Generation of Functional Source
  Code with Large Language Models (LLMs)
PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)
Mahmoud Nazzal
Issa Khalil
Abdallah Khreishah
NhatHai Phan
AAML
38
5
0
19 Sep 2024
Large Language Model-Based Agents for Software Engineering: A Survey
Large Language Model-Based Agents for Software Engineering: A Survey
Junwei Liu
Kaixin Wang
Yixuan Chen
Xin Peng
Zhenpeng Chen
Lingming Zhang
Yiling Lou
AI4CE
LLMAG
LM&Ro
47
41
0
04 Sep 2024
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in
  Code LLMs for Automated Program Repair
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
Meghdad Dehghan
Jie JW Wu
Fatemeh H. Fard
Ali Ouni
MoMe
54
2
0
18 Aug 2024
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
Toufique Ahmed
Premkumar Devanbu
Christoph Treude
Michael Pradel
86
13
0
10 Aug 2024
Towards More Trustworthy and Interpretable LLMs for Code through
  Syntax-Grounded Explanations
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations
David Nader-Palacio
Daniel Rodríguez-Cárdenas
Alejandro Velasco
Dipin Khati
Kevin Moran
Denys Poshyvanyk
63
6
0
12 Jul 2024
Agentless: Demystifying LLM-based Software Engineering Agents
Agentless: Demystifying LLM-based Software Engineering Agents
Chunqiu Steven Xia
Yinlin Deng
Soren Dunn
Lingming Zhang
LLMAG
43
86
0
01 Jul 2024
NARRepair: Non-Autoregressive Code Generation Model for Automatic
  Program Repair
NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair
Zhenyu Yang
Zhen Yang
Zhongxing Yu
40
1
0
24 Jun 2024
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of
  Self-Correction of LLMs
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
Ryo Kamoi
Yusen Zhang
Nan Zhang
Jiawei Han
Rui Zhang
LRM
50
61
0
03 Jun 2024
Automated Program Repair: Emerging trends pose and expose problems for
  benchmarks
Automated Program Repair: Emerging trends pose and expose problems for benchmarks
J. Renzullo
Pemma Reiter
Westley Weimer
Stephanie Forrest
47
1
0
08 May 2024
Automatic Programming: Large Language Models and Beyond
Automatic Programming: Large Language Models and Beyond
Michael R. Lyu
Baishakhi Ray
Abhik Roychoudhury
Shin Hwei Tan
Patanamon Thongtanunam
35
16
0
03 May 2024
Aligning LLM Agents by Learning Latent Preference from User Edits
Aligning LLM Agents by Learning Latent Preference from User Edits
Ge Gao
Alexey Taymanov
Eduardo Salinas
Paul Mineiro
Dipendra Kumar Misra
LLMAG
42
27
0
23 Apr 2024
NExT: Teaching Large Language Models to Reason about Code Execution
NExT: Teaching Large Language Models to Reason about Code Execution
Ansong Ni
Miltiadis Allamanis
Arman Cohan
Yinlin Deng
Kensen Shi
Charles Sutton
Pengcheng Yin
ReLM
LRM
48
35
0
23 Apr 2024
AI for DevSecOps: A Landscape and Future Opportunities
AI for DevSecOps: A Landscape and Future Opportunities
Michael Fu
Jirat Pasuksmit
Chakkrit Tantithamthavorn
40
6
0
07 Apr 2024
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
Islem Bouzenia
Prem Devanbu
Michael Pradel
LLMAG
KELM
36
68
0
25 Mar 2024
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language
  Models
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models
Berkay Berabi
Alexey Gronskiy
Veselin Raychev
Gishor Sivanrupan
Victor Chibotaru
Martin Vechev
KELM
33
8
0
19 Feb 2024
Evaluating Program Repair with Semantic-Preserving Transformations: A
  Naturalness Assessment
Evaluating Program Repair with Semantic-Preserving Transformations: A Naturalness Assessment
Thanh Le-Cong
Dat Nguyen
Bach Le
Toby Murray
28
4
0
19 Feb 2024
A Novel Approach for Automatic Program Repair using Round-Trip
  Translation with Large Language Models
A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language Models
Fernando Vallecillos Ruiz
Anastasiia Grishina
Max Hort
Leon Moonen
LRM
55
4
0
15 Jan 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
47
21
0
30 Dec 2023
RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for
  Program Repair
RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair
André Silva
Sen Fang
Martin Monperrus
MoMe
KELM
70
39
0
25 Dec 2023
Out of Context: How important is Local Context in Neural Program Repair?
Out of Context: How important is Local Context in Neural Program Repair?
Julian Aron Prenner
Romain Robbes
32
9
0
08 Dec 2023
Exploring the Limits of ChatGPT in Software Security Applications
Exploring the Limits of ChatGPT in Software Security Applications
Fangzhou Wu
Qingzhao Zhang
Ati Priya Bajaj
Tiffany Bao
Ning Zhang
Ruoyu Wang
Chaowei Xiao
ALM
SILM
ELM
30
8
0
08 Dec 2023
ConDefects: A New Dataset to Address the Data Leakage Concern for
  LLM-based Fault Localization and Program Repair
ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair
Yonghao Wu
Zheng Li
Jie Zhang
Yong Liu
40
12
0
25 Oct 2023
Program Repair with Minimal Edits Using CodeT5
Program Repair with Minimal Edits Using CodeT5
Atsushi Shirafuji
Md. Mostafizer Rahman
Md. Faizul Ibne Amin
Yutaka Watanobe
33
9
0
26 Sep 2023
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic
  Program Repair
RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair
Weishi Wang
Yue Wang
Shafiq Joty
Steven C. H. Hoi
34
58
0
12 Sep 2023
Copiloting the Copilots: Fusing Large Language Models with Completion
  Engines for Automated Program Repair
Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair
Yuxiang Wei
Chun Xia
Lingming Zhang
KELM
41
93
0
01 Sep 2023
Benchmarking Causal Study to Interpret Large Language Models for Source
  Code
Benchmarking Causal Study to Interpret Large Language Models for Source Code
Daniel Rodríguez-Cárdenas
David Nader-Palacio
Dipin Khati
Henry Burke
Denys Poshyvanyk
CML
ELM
30
15
0
23 Aug 2023
LLaMA-Reviewer: Advancing Code Review Automation with Large Language
  Models through Parameter-Efficient Fine-Tuning
LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning
Jun Lu
Lei Yu
Xiaojia Li
Li Yang
Chun Zuo
ALM
27
73
0
22 Aug 2023
Towards Automatically Addressing Self-Admitted Technical Debt: How Far
  Are We?
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?
A. Mastropaolo
M. D. Penta
Gabriele Bavota
36
7
0
17 Aug 2023
Evaluating and Explaining Large Language Models for Code Using Syntactic
  Structures
Evaluating and Explaining Large Language Models for Code Using Syntactic Structures
David Nader-Palacio
Alejandro Velasco
Daniel Rodríguez-Cárdenas
Kevin Moran
Denys Poshyvanyk
34
8
0
07 Aug 2023
RLTF: Reinforcement Learning from Unit Test Feedback
RLTF: Reinforcement Learning from Unit Test Feedback
Jiate Liu
Yiqin Zhu
Kaiwen Xiao
Qiang Fu
Xiao Han
Wei Yang
Deheng Ye
OffRL
55
56
0
10 Jul 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 Code
Max Hort
Anastasiia Grishina
Leon Moonen
23
2
0
05 Jul 2023
Natural Language Generation and Understanding of Big Code for
  AI-Assisted Programming: A Review
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
M. Wong
Shangxin Guo
Ching Nam Hang
Siu-Wai Ho
C. Tan
50
78
0
04 Jul 2023
Is Self-Repair a Silver Bullet for Code Generation?
Is Self-Repair a Silver Bullet for Code Generation?
Theo X. Olausson
J. Inala
Chenglong Wang
Jianfeng Gao
Armando Solar-Lezama
LRM
37
109
0
16 Jun 2023
Large Language Models of Code Fail at Completing Code with Potential
  Bugs
Large Language Models of Code Fail at Completing Code with Potential Bugs
Tuan Dinh
Jinman Zhao
Samson Tan
Renato M. P. Negrinho
Leonard Lausen
Sheng Zha
George Karypis
LRM
40
25
0
06 Jun 2023
Better patching using LLM prompting, via Self-Consistency
Better patching using LLM prompting, via Self-Consistency
Toufique Ahmed
Prem Devanbu
LRM
ReLM
KELM
57
27
0
31 May 2023
How Effective Are Neural Networks for Fixing Security Vulnerabilities
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Yi Wu
Nan Jiang
H. Pham
Thibaud Lutellier
Jordan Davis
Lin Tan
Petr Babkin
Sameena Shah
AAML
23
79
0
29 May 2023
A New Era in Software Security: Towards Self-Healing Software via Large
  Language Models and Formal Verification
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
30
49
0
24 May 2023
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