Saved in:
| Main Authors: | Wang, Yunan, Guo, Tingyu, Huang, Zilong, Yuan, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.10486 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
by: Li, Kefan, et al.
Published: (2025)
by: Li, Kefan, et al.
Published: (2025)
Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models
by: Yang, Aidan Z. H., et al.
Published: (2024)
by: Yang, Aidan Z. H., et al.
Published: (2024)
Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search
by: Zhang, Jiayi, et al.
Published: (2025)
by: Zhang, Jiayi, et al.
Published: (2025)
Less Training, More Repairing Please: Revisiting Automated Program Repair via Zero-shot Learning
by: Xia, Chunqiu Steven, et al.
Published: (2022)
by: Xia, Chunqiu Steven, et al.
Published: (2022)
Accelerating Patch Validation for Program Repair with Interception-Based Execution Scheduling
by: Xiao, Yuan-An, et al.
Published: (2023)
by: Xiao, Yuan-An, et al.
Published: (2023)
No Man is an Island: Towards Fully Automatic Programming by Code Search, Code Generation and Program Repair
by: Zhang, Quanjun, et al.
Published: (2024)
by: Zhang, Quanjun, et al.
Published: (2024)
Knowledge-Enhanced Program Repair for Data Science Code
by: Ouyang, Shuyin, et al.
Published: (2025)
by: Ouyang, Shuyin, et al.
Published: (2025)
Beyond Language Boundaries: Uncovering Programming Language Families for Code Language Models
by: Yun, Shangbo, et al.
Published: (2025)
by: Yun, Shangbo, et al.
Published: (2025)
Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis
by: Li, Fengjie, et al.
Published: (2024)
by: Li, Fengjie, et al.
Published: (2024)
Automated Repair of C Programs Using Large Language Models
by: Farzandway, Mahdi, et al.
Published: (2025)
by: Farzandway, Mahdi, et al.
Published: (2025)
Exploring Generalizable Automated Program Repair with Large Language Models
by: Campos, Viola, et al.
Published: (2025)
by: Campos, Viola, et al.
Published: (2025)
Empirical Evaluation of Large Language Models in Automated Program Repair
by: Sun, Jiajun, et al.
Published: (2025)
by: Sun, Jiajun, et al.
Published: (2025)
ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs
by: Kong, Jiaolong, et al.
Published: (2024)
by: Kong, Jiaolong, et al.
Published: (2024)
Execution-free Program Repair
by: Huang, Li, et al.
Published: (2024)
by: Huang, Li, et al.
Published: (2024)
ArkEval: Benchmarking and Evaluating Automated CodeRepair for ArkTS
by: Xie, Bang, et al.
Published: (2026)
by: Xie, Bang, et al.
Published: (2026)
Practical Program Repair in the Era of Large Pre-trained Language Models
by: Xia, Chunqiu Steven, et al.
Published: (2022)
by: Xia, Chunqiu Steven, et al.
Published: (2022)
SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications
by: Ma, Lezhi, et al.
Published: (2024)
by: Ma, Lezhi, et al.
Published: (2024)
Effective Code Membership Inference for Code Completion Models via Adversarial Prompts
by: Jiang, Yuan, et al.
Published: (2025)
by: Jiang, Yuan, et al.
Published: (2025)
ThinkRepair: Self-Directed Automated Program Repair
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
Can ChatGPT replace StackOverflow? A Study on Robustness and Reliability of Large Language Model Code Generation
by: Zhong, Li, et al.
Published: (2023)
by: Zhong, Li, et al.
Published: (2023)
NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair
by: Yang, Zhenyu, et al.
Published: (2024)
by: Yang, Zhenyu, et al.
Published: (2024)
RepoRepair: Leveraging Code Documentation for Repository-Level Automated Program Repair
by: Pan, Zhongqiang, et al.
Published: (2026)
by: Pan, Zhongqiang, et al.
Published: (2026)
Automated Repair of OpenID Connect Programs (Extended Version)
by: Rahat, Tamjid Al, et al.
Published: (2025)
by: Rahat, Tamjid Al, et al.
Published: (2025)
A Systematic Literature Review on Large Language Models for Automated Program Repair
by: Zhang, Quanjun, et al.
Published: (2024)
by: Zhang, Quanjun, et al.
Published: (2024)
FeedbackEval: A Benchmark for Evaluating Large Language Models in Feedback-Driven Code Repair Tasks
by: Dai, Dekun, et al.
Published: (2025)
by: Dai, Dekun, et al.
Published: (2025)
QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization
by: Ke, Changxin, et al.
Published: (2026)
by: Ke, Changxin, et al.
Published: (2026)
Advancing Code Coverage: Incorporating Program Analysis with Large Language Models
by: Yang, Chen, et al.
Published: (2024)
by: Yang, Chen, et al.
Published: (2024)
Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair
by: Li, Guochang, et al.
Published: (2024)
by: Li, Guochang, et al.
Published: (2024)
Automated Program Repair Based on REST API Specifications Using Large Language Models
by: Yamagishi, Katsuki, et al.
Published: (2025)
by: Yamagishi, Katsuki, et al.
Published: (2025)
Shapley-Guided Neural Repair Approach via Derivative-Free Optimization
by: Sun, Xinyu, et al.
Published: (2026)
by: Sun, Xinyu, et al.
Published: (2026)
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
by: Wang, Hanbin, et al.
Published: (2023)
by: Wang, Hanbin, et al.
Published: (2023)
DebugRepair: Enhancing LLM-Based Automated Program Repair via Self-Directed Debugging
by: Wu, Linhao, et al.
Published: (2026)
by: Wu, Linhao, et al.
Published: (2026)
SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?
by: He, Xinyi, et al.
Published: (2025)
by: He, Xinyi, et al.
Published: (2025)
SiblingRepair: Sibling-Based Multi-Hunk Repair with Large Language Models
by: Liu, Xinyu, et al.
Published: (2026)
by: Liu, Xinyu, et al.
Published: (2026)
RepairBench: Leaderboard of Frontier Models for Program Repair
by: Silva, André, et al.
Published: (2024)
by: Silva, André, et al.
Published: (2024)
The Impact of Program Reduction on Automated Program Repair
by: Vidziunas, Linas, et al.
Published: (2024)
by: Vidziunas, Linas, et al.
Published: (2024)
Adversarial Bug Reports as a Security Risk in Language Model-Based Automated Program Repair
by: Przymus, Piotr, et al.
Published: (2025)
by: Przymus, Piotr, et al.
Published: (2025)
RGFL: Reasoning Guided Fault Localization for Automated Program Repair Using Large Language Models
by: Sepidband, Melika, et al.
Published: (2026)
by: Sepidband, Melika, et al.
Published: (2026)
How Small is Enough? Empirical Evidence of Quantized Small Language Models for Automated Program Repair
by: Kusama, Kazuki, et al.
Published: (2025)
by: Kusama, Kazuki, et al.
Published: (2025)
Invariant-based Program Repair
by: Al-Bataineh, Omar I.
Published: (2023)
by: Al-Bataineh, Omar I.
Published: (2023)
Similar Items
-
CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
by: Li, Kefan, et al.
Published: (2025) -
Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models
by: Yang, Aidan Z. H., et al.
Published: (2024) -
Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search
by: Zhang, Jiayi, et al.
Published: (2025) -
Less Training, More Repairing Please: Revisiting Automated Program Repair via Zero-shot Learning
by: Xia, Chunqiu Steven, et al.
Published: (2022) -
Accelerating Patch Validation for Program Repair with Interception-Based Execution Scheduling
by: Xiao, Yuan-An, et al.
Published: (2023)