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EditLord: Learning Code Transformation Rules for Code Editing
v1v2v3 (latest)

EditLord: Learning Code Transformation Rules for Code Editing

10 March 2025
Weichen Li
Albert Jan
Baishakhi Ray
Junfeng Yang
Chengzhi Mao
Kexin Pei
    KELM
ArXiv (abs)PDFHTML

Papers citing "EditLord: Learning Code Transformation Rules for Code Editing"

38 / 38 papers shown
Title
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
Jinjun Peng
Leyi Cui
Kele Huang
Junfeng Yang
Baishakhi Ray
ELM
131
13
0
14 Jan 2025
PerfCodeGen: Improving Performance of LLM Generated Code with Execution
  Feedback
PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
Yun Peng
Akhilesh Deepak Gotmare
Michael R. Lyu
Caiming Xiong
Silvio Savarese
Doyen Sahoo
92
8
0
18 Nov 2024
Automated Proof Generation for Rust Code via Self-Evolution
Automated Proof Generation for Rust Code via Self-Evolution
Tianyu Chen
Shuai Lu
Shan Lu
Yeyun Gong
Chenyuan Yang
...
Peng Cheng
Fan Yang
Shuvendu Lahiri
Tao Xie
Lidong Zhou
146
10
0
21 Oct 2024
Don't Transform the Code, Code the Transforms: Towards Precise Code
  Rewriting using LLMs
Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs
Chris Cummins
Volker Seeker
Jordi Armengol-Estapé
Aram H. Markosyan
Gabriel Synnaeve
Hugh Leather
71
2
0
11 Oct 2024
Learning Code Preference via Synthetic Evolution
Learning Code Preference via Synthetic Evolution
Jiawei Liu
Thanh Nguyen
Mingyue Shang
Hantian Ding
Xiaopeng Li
Yu Yu
Varun Kumar
Zijian Wang
SyDaALMAAML
63
11
0
04 Oct 2024
MarsCode Agent: AI-native Automated Bug Fixing
MarsCode Agent: AI-native Automated Bug Fixing
Y. Liu
Pengfei Gao
Xinchen Wang
Jie Liu
Yexuan Shi
Zhao Zhang
Chao Peng
LLMAG
89
31
0
02 Sep 2024
RES-Q: Evaluating Code-Editing Large Language Model Systems at the
  Repository Scale
RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository Scale
Beck Labash
August Rosedale
Alex Reents
Lucas Negritto
Colin Wiel
KELM
51
10
0
24 Jun 2024
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
Saikat Chakraborty
Gabriel Ebner
Siddharth Bhat
Sarah Fakhoury
Sakina Fatima
Shuvendu K. Lahiri
Nikhil Swamy
80
16
0
03 May 2024
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
Jiawei Guo
Ziming Li
Xueling Liu
Kaijing Ma
Tianyu Zheng
...
Xingwei Qu
Xiang Yue
Ge Zhang
Wenhu Chen
Jie Fu
KELM
155
14
0
04 Apr 2024
LLM4Decompile: Decompiling Binary Code with Large Language Models
LLM4Decompile: Decompiling Binary Code with Large Language Models
Hanzhuo Tan
Qi Luo
Jing Li
Yuqun Zhang
SyDaELM
154
27
0
08 Mar 2024
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Pei Zhou
Jay Pujara
Xiang Ren
Xinyun Chen
Heng-Tze Cheng
Quoc V. Le
Ed H. Chi
Denny Zhou
Swaroop Mishra
Huaixiu Steven Zheng
LRMReLM
82
56
0
06 Feb 2024
Code Representation Learning At Scale
Code Representation Learning At Scale
Dejiao Zhang
W. Ahmad
Ming Tan
Hantian Ding
Ramesh Nallapati
Dan Roth
Xiaofei Ma
Bing Xiang
OffRL
66
12
0
02 Feb 2024
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional
  Correctness
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal
Tushar Aggarwal
Abhijeet Awasthi
Nagarajan Natarajan
Aditya Kanade
96
15
0
29 Jan 2024
Can It Edit? Evaluating the Ability of Large Language Models to Follow
  Code Editing Instructions
Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions
Federico Cassano
Luisa Li
Akul Sethi
Noah Shinn
Abby Brennan-Jones
...
Edward Berman
George Chakhnashvili
Anton Lozhkov
C. Anderson
Arjun Guha
ELMKELM
130
27
0
11 Dec 2023
Refactoring Programs Using Large Language Models with Few-Shot Examples
Refactoring Programs Using Large Language Models with Few-Shot Examples
Atsushi Shirafuji
Yusuke Oda
Jun Suzuki
Makoto Morishita
Yutaka Watanobe
64
40
0
20 Nov 2023
Finding Inductive Loop Invariants using Large Language Models
Finding Inductive Loop Invariants using Large Language Models
Adharsh Kamath
Aditya Senthilnathan
Saikat Chakraborty
Pantazis Deligiannis
Shuvendu K. Lahiri
Akash Lal
Aseem Rastogi
Subhajit Roy
Rahul Sharma
79
26
0
14 Nov 2023
InstructCoder: Instruction Tuning Large Language Models for Code Editing
InstructCoder: Instruction Tuning Large Language Models for Code Editing
Kaixin Li
Qisheng Hu
Xu Zhao
Hui Chen
Yuxi Xie
Tiedong Liu
Qizhe Xie
Junxian He
ALMSyDa
85
15
0
31 Oct 2023
Ranking LLM-Generated Loop Invariants for Program Verification
Ranking LLM-Generated Loop Invariants for Program Verification
Saikat Chakraborty
Shuvendu K. Lahiri
Sarah Fakhoury
Madanlal Musuvathi
Akash Lal
Aseem Rastogi
Aditya Senthilnathan
Rahul Sharma
Nikhil Swamy
144
39
0
13 Oct 2023
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
E. Zelikman
Eliana Lorch
Lester W. Mackey
Adam Tauman Kalai
LRMReLM
83
59
0
03 Oct 2023
OctoPack: Instruction Tuning Code Large Language Models
OctoPack: Instruction Tuning Code Large Language Models
Niklas Muennighoff
Qian Liu
A. Zebaze
Qinkai Zheng
Binyuan Hui
Terry Yue Zhuo
Swayam Singh
Xiangru Tang
Leandro von Werra
Shayne Longpre
VLMALM
143
140
0
14 Aug 2023
Let's Verify Step by Step
Let's Verify Step by Step
Hunter Lightman
V. Kosaraju
Yura Burda
Harrison Edwards
Bowen Baker
Teddy Lee
Jan Leike
John Schulman
Ilya Sutskever
K. Cobbe
ALMOffRLLRM
208
1,241
0
31 May 2023
GrACE: Generation using Associated Code Edits
GrACE: Generation using Associated Code Edits
Priyanshu Gupta
Avishree Khare
Yasharth Bajpai
Saikat Chakraborty
Sumit Gulwani
Aditya Kanade
Arjun Radhakrishna
Gustavo Soares
Ashish Tiwari
87
16
0
23 May 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
348
559
0
03 May 2023
Teaching Large Language Models to Self-Debug
Teaching Large Language Models to Self-Debug
Xinyun Chen
Maxwell Lin
Nathanael Scharli
Denny Zhou
LRM
137
711
0
11 Apr 2023
Self-Refine: Iterative Refinement with Self-Feedback
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan
Niket Tandon
Prakhar Gupta
Skyler Hallinan
Luyu Gao
...
Bodhisattwa Prasad Majumder
Katherine Hermann
Sean Welleck
Amir Yazdanbakhsh
Peter Clark
ReLMLRMDiffM
212
1,688
0
30 Mar 2023
Language Models can Solve Computer Tasks
Language Models can Solve Computer Tasks
Geunwoo Kim
Pierre Baldi
Stephen Marcus McAleer
LLMAGLM&Ro
168
374
0
30 Mar 2023
Learning Performance-Improving Code Edits
Learning Performance-Improving Code Edits
Alex Shypula
Aman Madaan
Yiming Yang
Uri Alon
Jacob R. Gardner
Milad Hashemi
Graham Neubig
Parthasarathy Ranganathan
Osbert Bastani
Amir Yazdanbakhsh
SyDa
110
92
0
15 Feb 2023
Large Language Models for Code: Security Hardening and Adversarial
  Testing
Large Language Models for Code: Security Hardening and Adversarial Testing
Jingxuan He
Martin Vechev
ELMAAML
93
122
0
10 Feb 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Yizhong Wang
Yeganeh Kordi
Swaroop Mishra
Alisa Liu
Noah A. Smith
Daniel Khashabi
Hannaneh Hajishirzi
ALMSyDaLRM
195
2,264
0
20 Dec 2022
ReCode: Robustness Evaluation of Code Generation Models
ReCode: Robustness Evaluation of Code Generation Models
Shiqi Wang
Zheng Li
Haifeng Qian
Cheng Yang
Zijian Wang
...
Parminder Bhatia
Ramesh Nallapati
M. K. Ramanathan
Dan Roth
Bing Xiang
80
90
0
20 Dec 2022
Do Users Write More Insecure Code with AI Assistants?
Do Users Write More Insecure Code with AI Assistants?
Neil Perry
Megha Srivastava
Deepak Kumar
Dan Boneh
ELMAAML
77
180
0
07 Nov 2022
CodeEditor: Learning to Edit Source Code with Pre-trained Models
CodeEditor: Learning to Edit Source Code with Pre-trained Models
Jia Li
Ge Li
Zhuo Li
Zhi Jin
Xing Hu
Kechi Zhang
Zhiyi Fu
KELM
64
28
0
31 Oct 2022
Large Language Models Can Self-Improve
Large Language Models Can Self-Improve
Jiaxin Huang
S. Gu
Le Hou
Yuexin Wu
Xuezhi Wang
Hongkun Yu
Jiawei Han
ReLMAI4MHLRM
215
618
0
20 Oct 2022
Automatic Chain of Thought Prompting in Large Language Models
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang
Aston Zhang
Mu Li
Alexander J. Smola
ReLMLRM
175
639
0
07 Oct 2022
Exploring Length Generalization in Large Language Models
Exploring Length Generalization in Large Language Models
Cem Anil
Yuhuai Wu
Anders Andreassen
Aitor Lewkowycz
Vedant Misra
V. Ramasesh
Ambrose Slone
Guy Gur-Ari
Ethan Dyer
Behnam Neyshabur
ReLMLRM
108
170
0
11 Jul 2022
DeepPERF: A Deep Learning-Based Approach For Improving Software
  Performance
DeepPERF: A Deep Learning-Based Approach For Improving Software Performance
Spandan Garg
Roshanak Zilouchian Moghaddam
Colin B. Clement
Neel Sundaresan
Chen Henry Wu
76
9
0
27 Jun 2022
Adversarial Robustness for Code
Adversarial Robustness for Code
Pavol Bielik
Martin Vechev
AAML
66
88
0
11 Feb 2020
Adversarial Examples for Models of Code
Adversarial Examples for Models of Code
Noam Yefet
Uri Alon
Eran Yahav
SILMAAMLMLAU
127
169
0
15 Oct 2019
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