Saved in:
| Main Authors: | Liu, Penghui, Bi, Yingzhou, Huang, Jiangtao, Jiang, Xinxin, Wang, Lianmei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.05540 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
by: Rzig, Dhia Elhaq, et al.
Published: (2025)
by: Rzig, Dhia Elhaq, et al.
Published: (2025)
$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models
by: Liu, Quanming, et al.
Published: (2025)
by: Liu, Quanming, et al.
Published: (2025)
Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study
by: Antal, Gábor, et al.
Published: (2025)
by: Antal, Gábor, et al.
Published: (2025)
MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair
by: Liu, Simiao, et al.
Published: (2026)
by: Liu, Simiao, et al.
Published: (2026)
A Multi-Dataset Evaluation of Models for Automated Vulnerability Repair
by: Khan, Zanis Ali, et al.
Published: (2025)
by: Khan, Zanis Ali, et al.
Published: (2025)
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
by: Wen, Xin-Cheng, et al.
Published: (2025)
by: Wen, Xin-Cheng, et al.
Published: (2025)
NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair
by: Yang, Zhenyu, et al.
Published: (2024)
by: Yang, Zhenyu, et al.
Published: (2024)
Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments
by: Zhao, Qianhui, et al.
Published: (2024)
by: Zhao, Qianhui, et al.
Published: (2024)
BenchGuard: Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks
by: Tu, Xinming, et al.
Published: (2026)
by: Tu, Xinming, et al.
Published: (2026)
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
by: Du, Xueying, et al.
Published: (2024)
by: Du, Xueying, et al.
Published: (2024)
Evaluating Agent-based Program Repair at Google
by: Rondon, Pat, et al.
Published: (2025)
by: Rondon, Pat, et al.
Published: (2025)
AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context
by: Zhang, Lei, et al.
Published: (2026)
by: Zhang, Lei, et al.
Published: (2026)
Evaluating the Generalizability of LLMs in Automated Program Repair
by: Li, Fengjie, et al.
Published: (2025)
by: Li, Fengjie, et al.
Published: (2025)
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024)
by: Islam, Nafis Tanveer, et al.
Published: (2024)
Project Prometheus: Bridging the Intent Gap in Agentic Program Repair via Reverse-Engineered Executable Specifications
by: Wang, Yongchao, et al.
Published: (2026)
by: Wang, Yongchao, et al.
Published: (2026)
Explaining the Contributing Factors for Vulnerability Detection in Machine Learning
by: Mouine, Esma, et al.
Published: (2024)
by: Mouine, Esma, et al.
Published: (2024)
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)
Repair-R1: Better Test Before Repair
by: Hu, Haichuan, et al.
Published: (2025)
by: Hu, Haichuan, et al.
Published: (2025)
ContraFix: Agentic Vulnerability Repair via Differential Runtime Evidence and Skill Reuse
by: Liu, Simiao, et al.
Published: (2026)
by: Liu, Simiao, et al.
Published: (2026)
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
by: Bouzenia, Islem, et al.
Published: (2024)
by: Bouzenia, Islem, et al.
Published: (2024)
Improving MPI Error Detection and Repair with Large Language Models and Bug References
by: Piersall, Scott, et al.
Published: (2026)
by: Piersall, Scott, et al.
Published: (2026)
SecureFixAgent: A Hybrid LLM Agent for Automated Python Static Vulnerability Repair
by: Gajjar, Jugal, et al.
Published: (2025)
by: Gajjar, Jugal, et al.
Published: (2025)
Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection
by: Yusuf, Imam Nur Bani, et al.
Published: (2024)
by: Yusuf, Imam Nur Bani, et al.
Published: (2024)
MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems
by: Wang, Renzhi, et al.
Published: (2024)
by: Wang, Renzhi, et al.
Published: (2024)
FailureMem: A Failure-Aware Multimodal Framework for Autonomous Software Repair
by: Ma, Ruize, et al.
Published: (2026)
by: Ma, Ruize, et al.
Published: (2026)
DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information
by: Huang, Zhili, et al.
Published: (2025)
by: Huang, Zhili, et al.
Published: (2025)
Enhancing Automated Program Repair with Solution Design
by: Zhao, Jiuang, et al.
Published: (2024)
by: Zhao, Jiuang, et al.
Published: (2024)
HTMLCure: Turning Browser Experience into State Guided Repair for Interactive HTML
by: Wu, Jiajun, et al.
Published: (2026)
by: Wu, Jiajun, et al.
Published: (2026)
RepoRepair: Leveraging Code Documentation for Repository-Level Automated Program Repair
by: Pan, Zhongqiang, et al.
Published: (2026)
by: Pan, Zhongqiang, et al.
Published: (2026)
Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair
by: Feng, Qiong, et al.
Published: (2024)
by: Feng, Qiong, et al.
Published: (2024)
RisConFix: LLM-based Automated Repair of Risk-Prone Drone Configurations
by: Han, Liping, et al.
Published: (2025)
by: Han, Liping, et al.
Published: (2025)
Learning Generalizable Multimodal Representations for Software Vulnerability Detection
by: Dong, Zeming, et al.
Published: (2026)
by: Dong, Zeming, et al.
Published: (2026)
ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
by: Zhao, Yicong, et al.
Published: (2025)
by: Zhao, Yicong, et al.
Published: (2025)
Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning
by: Zhang, Lingzhe, et al.
Published: (2026)
by: Zhang, Lingzhe, et al.
Published: (2026)
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
by: Dehghan, Meghdad, et al.
Published: (2024)
by: Dehghan, Meghdad, et al.
Published: (2024)
FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation
by: Zhu, Hongda, et al.
Published: (2025)
by: Zhu, Hongda, et al.
Published: (2025)
Studying Vulnerable Code Entities in R
by: Zhao, Zixiao, et al.
Published: (2024)
by: Zhao, Zixiao, et al.
Published: (2024)
Weakly Supervised Vulnerability Localization via Multiple Instance Learning
by: Gu, Wenchao, et al.
Published: (2025)
by: Gu, Wenchao, et al.
Published: (2025)
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
by: Orvalho, Pedro, et al.
Published: (2024)
by: Orvalho, Pedro, et al.
Published: (2024)
Similar Items
-
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
by: Rzig, Dhia Elhaq, et al.
Published: (2025) -
$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models
by: Liu, Quanming, et al.
Published: (2025) -
Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study
by: Antal, Gábor, et al.
Published: (2025) -
MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair
by: Liu, Simiao, et al.
Published: (2026) -
A Multi-Dataset Evaluation of Models for Automated Vulnerability Repair
by: Khan, Zanis Ali, et al.
Published: (2025)