Cover Image

MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Zihan, Xu, Jie, Peng, Yun, Chong, Chun Yong, Jia, Xiaohua
Format:	Preprint
Published:	2026
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2025)

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection
by: Cao, Yiheng, et al.
Published: (2026)

ReVul-CoT: Towards Effective Software Vulnerability Assessment with Retrieval-Augmented Generation and Chain-of-Thought Prompting
by: Chen, Zhijie, et al.
Published: (2025)

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones
by: Bui, Tan, et al.
Published: (2025)

StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model
by: Jiang, Yuan, et al.
Published: (2024)

Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
by: Du, Xueying, et al.
Published: (2024)

UntrustVul: An Automated Approach for Identifying Untrustworthy Alerts in Vulnerability Detection Models
by: Tung, Lam Nguyen, et al.
Published: (2025)

VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications
by: Zhu, Hao, et al.
Published: (2025)

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics
by: Li, Yikun, et al.
Published: (2024)

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection
by: Ahmed, Md Basim Uddin, et al.
Published: (2025)

MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation
by: Ni, Chao, et al.
Published: (2024)

VulStamp: Vulnerability Assessment using Large Language Model
by: Shen, Hao, et al.
Published: (2025)

VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
by: Wen, Xin-Cheng, et al.
Published: (2024)

You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector
by: Tian, Bowen, et al.
Published: (2025)

VulKey: Automated Vulnerability Repair Guided by Domain-Specific Repair Patterns
by: Li, Jia, et al.
Published: (2026)

M2CVD: Enhancing Vulnerability Semantic through Multi-Model Collaboration for Code Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2024)

VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models
by: Nguyen, Duong, et al.
Published: (2025)

VulZoo: A Comprehensive Vulnerability Intelligence Dataset
by: Ruan, Bonan, et al.
Published: (2024)

Prompt-based Code Completion via Multi-Retrieval Augmented Generation
by: Tan, Hanzhuo, et al.
Published: (2024)

Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation
by: Zhu, Qiming, et al.
Published: (2025)

MulChain: Enabling Advanced Cross-Modal Queries in Hybrid-Storage Blockchains
by: Peng, Zhiyuan, et al.
Published: (2025)

VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
by: Liu, Yu, et al.
Published: (2024)

Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
by: Wen, Xin-Cheng, et al.
Published: (2025)

ReposVul: A Repository-Level High-Quality Vulnerability Dataset
by: Wang, Xinchen, et al.
Published: (2024)

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report
by: Jiang, Ziyou, et al.
Published: (2025)

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code
by: Feng, Jia, et al.
Published: (2024)

Lightweight Vulnerability Detection from Code Metrics and Token Features
by: Chiu, Chun Yin
Published: (2026)

iCodeReviewer: Improving Secure Code Review with Mixture of Prompts
by: Peng, Yun, et al.
Published: (2025)

Line-level Semantic Structure Learning for Code Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2024)

Contextual Code Retrieval for Commit Message Generation: A Preliminary Study
by: Xiong, Bo, et al.
Published: (2025)

Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
by: Chen, Jie, et al.
Published: (2025)

VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction
by: Chukkol, Abdulrahman Hamman Adama, et al.
Published: (2024)

MulVuln: Enhancing Pre-trained LMs with Shared and Language-Specific Knowledge for Multilingual Vulnerability Detection
by: Nguyen, Van, et al.
Published: (2025)

Keep It Simple: Towards Accurate Vulnerability Detection for Large Code Graphs
by: Peng, Xin, et al.
Published: (2024)

VulReaD: Knowledge-Graph-guided Software Vulnerability Reasoning and Detection
by: Mukhtar, Samal, et al.
Published: (2026)

Can LLMs be Effective Code Contributors? A Study on Open-source Projects
by: Chong, Chun Jie, et al.
Published: (2026)

GraphCodeAgent: Dual Graph-Guided LLM Agent for Retrieval-Augmented Repo-Level Code Generation
by: Li, Jia, et al.
Published: (2025)

Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation
by: Sun, Zhihong, et al.
Published: (2025)

CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection
by: Feng, Ruijun, et al.
Published: (2025)

TDD Governance for Multi-Agent Code Generation via Prompt Engineering
by: Hasanli, Tarlan, et al.
Published: (2026)