ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.04087
  4. Cited By
Self-Edit: Fault-Aware Code Editor for Code Generation

Self-Edit: Fault-Aware Code Editor for Code Generation

6 May 2023
Kechi Zhang
Zhuo Li
Jia Li
Ge Li
Zhi Jin
ArXivPDFHTML

Papers citing "Self-Edit: Fault-Aware Code Editor for Code Generation"

50 / 64 papers shown
Title
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Yifeng Di
Tianyi Zhang
26
0
0
12 May 2025
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Xiaobao Wu
LRM
72
1
0
05 May 2025
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
LingXiang Wang
Hainan Zhang
Qinnan Zhang
Ziwei Wang
Hongwei Zheng
Jin Dong
Zhiming Zheng
61
0
0
28 Apr 2025
SRLCG: Self-Rectified Large-Scale Code Generation with Multidimensional Chain-of-Thought and Dynamic Backtracking
SRLCG: Self-Rectified Large-Scale Code Generation with Multidimensional Chain-of-Thought and Dynamic Backtracking
Hongru Ma
Yanjie Liang
Jiasheng Si
Weiyu Zhang
Hongjiao Guan
Chaoqun Zheng
Bing Xu
Wenpeng Lu
LRM
53
1
0
01 Apr 2025
debug-gym: A Text-Based Environment for Interactive Debugging
debug-gym: A Text-Based Environment for Interactive Debugging
Xingdi Yuan
Morgane M Moss
Charbel El Feghali
Chinmay Singh
Darya Moldavskaya
...
Lucas Caccia
Matheus Pereira
Minseon Kim
Alessandro Sordoni
Marc-Alexandre Côté
LLMAG
70
2
0
27 Mar 2025
Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models
Anastasiia Grishina
Vadim Liventsev
Aki Härmä
Leon Moonen
ELM
87
0
0
10 Mar 2025
SolBench: A Dataset and Benchmark for Evaluating Functional Correctness in Solidity Code Completion and Repair
Zaoyu Chen
Haoran Qin
Nuo Chen
Xiangyu Zhao
Lei Xue
Xiapu Luo
Xiao-Ming Wu
51
0
0
03 Mar 2025
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
Dayu Yang
Tianyang Liu
Daoan Zhang
Antoine Simoulin
Xiaoyi Liu
...
Zhaopu Teng
Xin Qian
Grey Yang
Jiebo Luo
Julian McAuley
ReLM
OffRL
LRM
89
3
0
26 Feb 2025
Selective Prompt Anchoring for Code Generation
Selective Prompt Anchoring for Code Generation
Yuan Tian
Tianyi Zhang
94
3
0
24 Feb 2025
LeDex: Training LLMs to Better Self-Debug and Explain Code
LeDex: Training LLMs to Better Self-Debug and Explain Code
Nan Jiang
Xiaopeng Li
Shiqi Wang
Qiang Zhou
Soneya Binta Hossain
Baishakhi Ray
Varun Kumar
Xiaofei Ma
Anoop Deoras
LRM
92
11
0
17 Feb 2025
CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
Kefan Li
Hongyue Yu
Tingyu Guo
Shijie Cao
Yuan Yuan
47
0
0
15 Feb 2025
Towards Advancing Code Generation with Large Language Models: A Research Roadmap
Towards Advancing Code Generation with Large Language Models: A Research Roadmap
Haolin Jin
Huaming Chen
Qinghua Lu
Liming Zhu
LLMAG
45
1
0
20 Jan 2025
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks
Yaojie Hu
Qiang Zhou
Qihong Chen
Xiaopeng Li
Linbo Liu
Dejiao Zhang
Amit Kachroo
Talha Oz
Omer Tripp
68
4
0
20 Jan 2025
Outcome-Refining Process Supervision for Code Generation
Outcome-Refining Process Supervision for Code Generation
Zhuohao Yu
Weizheng Gu
Yidong Wang
Zhengran Zeng
Jindong Wang
Wei Ye
Shikun Zhang
LRM
89
4
0
19 Dec 2024
GenX: Mastering Code and Test Generation with Execution Feedback
GenX: Mastering Code and Test Generation with Execution Feedback
Nan Wang
Yafei Liu
Chen Chen
H. Lu
89
1
0
18 Dec 2024
CodeTree: Agent-guided Tree Search for Code Generation with Large
  Language Models
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
Jierui Li
Hung Le
Yingbo Zhou
Caiming Xiong
Silvio Savarese
Doyen Sahoo
LLMAG
39
5
0
07 Nov 2024
From Code to Correctness: Closing the Last Mile of Code Generation with
  Hierarchical Debugging
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
Yuling Shi
Songsong Wang
Chengcheng Wan
Xiaodong Gu
ELM
34
6
0
02 Oct 2024
VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation
VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation
Zhijie Wang
Zhehua Zhou
Jiayang Song
Yuheng Huang
Zhan Shu
Lei Ma
LM&Ro
71
5
0
19 Sep 2024
A Pair Programming Framework for Code Generation via Multi-Plan
  Exploration and Feedback-Driven Refinement
A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement
Huan Zhang
Wei Cheng
Yuhan Wu
Wei Hu
LLMAG
36
5
0
08 Sep 2024
Search-Based LLMs for Code Optimization
Search-Based LLMs for Code Optimization
Shuzheng Gao
Cuiyun Gao
Wenchao Gu
Michael Lyu
31
8
0
22 Aug 2024
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
Weiqing Yang
Hanbin Wang
Zhenghao Liu
Xinze Li
Yukun Yan
Shuo Wang
Yu Gu
Minghe Yu
Zhiyuan Liu
Ge Yu
50
2
0
09 Aug 2024
Beyond Functional Correctness: Investigating Coding Style
  Inconsistencies in Large Language Models
Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
Yanlin Wang
Tianyue Jiang
Mingwei Liu
Jiachi Chen
Zibin Zheng
29
7
0
29 Jun 2024
Tools Fail: Detecting Silent Errors in Faulty Tools
Tools Fail: Detecting Silent Errors in Faulty Tools
Jimin Sun
So Yeon Min
Yingshan Chang
Yonatan Bisk
32
4
0
27 Jun 2024
INDICT: Code Generation with Internal Dialogues of Critiques for Both
  Security and Helpfulness
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
Hung Le
Yingbo Zhou
Caiming Xiong
Silvio Savarese
Doyen Sahoo
52
2
0
23 Jun 2024
RoboCoder: Robotic Learning from Basic Skills to General Tasks with
  Large Language Models
RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models
Jingyao Li
Pengguang Chen
Sitong Wu
Chuanyang Zheng
Hong Xu
Jiaya Jia
ELM
37
0
0
06 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
57
0
03 Jun 2024
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework
  for Software Vulnerability Detection
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection
Yanjing Yang
Xin Zhou
Runfeng Mao
Jinwei Xu
Lanxin Yang
Yu Zhangm
Haifeng Shen
He Zhang
24
13
0
02 May 2024
Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra
  Large-Scale Code Generation and Optimization
Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization
Yoichi Ishibashi
Yoshimasa Nishimura
39
32
0
02 Apr 2024
CYCLE: Learning to Self-Refine the Code Generation
CYCLE: Learning to Self-Refine the Code Generation
Yangruibo Ding
Marcus J. Min
Gail E. Kaiser
Baishakhi Ray
41
29
0
27 Mar 2024
Untangling Knots: Leveraging LLM for Error Resolution in Computational
  Notebooks
Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks
Konstantin Grotov
Sergey Titov
Yaroslav Zharov
T. Bryksin
32
0
0
26 Mar 2024
Iterative Refinement of Project-Level Code Context for Precise Code
  Generation with Compiler Feedback
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
Zhangqian Bi
Yao Wan
Zheng Wang
Hongyu Zhang
Batu Guan
Fangxin Lu
Zili Zhang
Yulei Sui
Hai Jin
Xuanhua Shi
34
13
0
25 Mar 2024
Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
Junkai Chen
Zhiyuan Pan
Xing Hu
Zhenhao Li
Ge Li
Xin Xia
LRM
32
20
0
25 Mar 2024
CoCoST: Automatic Complex Code Generation with Online Searching and
  Correctness Testing
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He
Jiaru Zou
Yun Lin
Mengyu Zhou
Shi Han
Zejian Yuan
Dongmei Zhang
32
1
0
20 Mar 2024
LiveCodeBench: Holistic and Contamination Free Evaluation of Large
  Language Models for Code
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Naman Jain
King Han
Alex Gu
Wen-Ding Li
Fanjia Yan
Tianjun Zhang
Sida I. Wang
Armando Solar-Lezama
Koushik Sen
Ion Stoica
ELM
36
274
0
12 Mar 2024
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code
  Large Language Models
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models
Xianzhen Luo
Qingfu Zhu
Zhiming Zhang
Xu Wang
Qing Yang
Dongliang Xu
Wanxiang Che
ALM
32
2
0
01 Mar 2024
SEED: Customize Large Language Models with Sample-Efficient Adaptation
  for Code Generation
SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation
Xue Jiang
Yihong Dong
Zhi Jin
Ge Li
VLM
47
4
0
29 Feb 2024
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of
  Large Language Models
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
Loka Li
Zhenhao Chen
Guan-Hong Chen
Yixuan Zhang
Yusheng Su
Eric P. Xing
Anton van den Hengel
LRM
44
15
0
19 Feb 2024
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
Siyin Wang
Shimin Li
Tianxiang Sun
Jinlan Fu
Qinyuan Cheng
Jiasheng Ye
Junjie Ye
Xipeng Qiu
Xuanjing Huang
21
5
0
17 Feb 2024
Investigating the Impact of Data Contamination of Large Language Models
  in Text-to-SQL Translation
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation
Federico Ranaldi
Elena Sofia Ruzzetti
Dario Onorati
Leonardo Ranaldi
Cristina Giannone
Andrea Favalli
Raniero Romagnoli
Fabio Massimo Zanzotto
68
17
0
12 Feb 2024
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
Mirac Suzgun
Adam Tauman Kalai
KELM
LRM
LLMAG
ReLM
45
65
0
23 Jan 2024
JumpCoder: Go Beyond Autoregressive Coder via Online Modification
JumpCoder: Go Beyond Autoregressive Coder via Online Modification
Mouxiang Chen
Hao Tian
Zhongxi Liu
Xiaoxue Ren
Jianling Sun
SyDa
KELM
43
2
0
15 Jan 2024
DevEval: Evaluating Code Generation in Practical Software Projects
Jia Li
Ge Li
Yunfei Zhao
Yongming Li
Zhi Jin
...
Xuanming Zhang
Yihong Dong
Yuqi Zhu
Bin Gu
Mengfei Yang
ALM
ELM
37
11
0
12 Jan 2024
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code
  Empowers Large Language Models to Serve as Intelligent Agents
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Ke Yang
Jiateng Liu
John Wu
Chaoqi Yang
Yi Ren Fung
...
Xu Cao
Xingyao Wang
Yiquan Wang
Heng Ji
Chengxiang Zhai
LLMAG
ELM
26
75
0
01 Jan 2024
MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks
MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks
Jingyao Li
Pengguang Chen
Jiaya Jia
Hong Xu
Jiaya Jia
LRM
30
12
0
26 Dec 2023
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and
  Optimisation
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
Dong Huang
Jie M.Zhang
Michael Luck
Qi Bu
Yuhao Qing
Heming Cui
LLMAG
25
0
0
20 Dec 2023
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
ELM
KELM
48
20
0
11 Dec 2023
INTERVENOR: Prompting the Coding Ability of Large Language Models with
  the Interactive Chain of Repair
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
Hanbin Wang
Zhenghao Liu
Shuo Wang
Ganqu Cui
Ning Ding
Zhiyuan Liu
Ge Yu
KELM
LRM
32
8
0
16 Nov 2023
Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
Seungjun Moon
Hyungjoo Chae
Yongho Song
Taeyoon Kwon
Dongjin Kang
Kai Tzu-iunn Ong
Seung-won Hwang
Jinyoung Yeo
KELM
15
11
0
13 Nov 2023
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining
  Language Models with First-Order Logic Provers
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
Theo X. Olausson
Alex Gu
Benjamin Lipkin
Cedegao E. Zhang
Armando Solar-Lezama
Josh Tenenbaum
Roger Levy
LRM
AI4CE
ReLM
49
95
0
23 Oct 2023
CodeChain: Towards Modular Code Generation Through Chain of
  Self-revisions with Representative Sub-modules
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
Hung Le
Hailin Chen
Amrita Saha
Akash Gokul
Doyen Sahoo
Shafiq R. Joty
LRM
28
42
0
13 Oct 2023
12
Next