Cover Image

M2CVD: Enhancing Vulnerability Semantic through Multi-Model Collaboration for Code Vulnerability Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Ziliang, Li, Ge, Li, Jia, Xiong, Yingfei, Yan, Meng, Jin, Zhi
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

LLM-based Vulnerability Detection at Project Scale: An Empirical Study
by: Li, Fengjie, et al.
Published: (2026)

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
by: Zhang, Kechi, et al.
Published: (2024)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points
by: Zhang, Kechi, et al.
Published: (2025)

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

Multi-role Consensus through LLMs Discussions for Vulnerability Detection
by: Mao, Zhenyu, et al.
Published: (2024)

Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates
by: Sun, Zhihong, et al.
Published: (2024)

Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation
by: Qi, Weiliang, et al.
Published: (2024)

Enhancing Security in Third-Party Library Reuse -- Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis
by: Xu, Shangzhi, et al.
Published: (2024)

Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
by: Zhang, Chenyuan, et al.
Published: (2023)

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection
by: Zhang, Ting, et al.
Published: (2025)

DFEPT: Data Flow Embedding for Enhancing Pre-Trained Model Based Vulnerability Detection
by: Jiang, Zhonghao, et al.
Published: (2024)

MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution
by: Wu, Zihan, et al.
Published: (2026)

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

AdapTrack: Constrained Decoding without Distorting LLM's Output Intent
by: Li, Yongmin, et al.
Published: (2025)

Showing LLM-Generated Code Selectively Based on Confidence of LLMs
by: Li, Jia, et al.
Published: (2024)

TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code
by: Li, Siyuan, et al.
Published: (2024)

AutoVulnPHP: LLM-Powered Two-Stage PHP Vulnerability Detection and Automated Localization
by: Wang, Zhiqiang, et al.
Published: (2026)

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding
by: Li, Jia, et al.
Published: (2025)

VFDelta: A Framework for Detecting Silent Vulnerability Fixes by Enhancing Code Change Learning
by: Yang, Xu, et al.
Published: (2024)

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection
by: Peng, Xin, et al.
Published: (2026)

Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
by: Gonçalves, José, et al.
Published: (2025)

A Small Leak Sinks All: Exploring the Transferable Vulnerability of Source Code Models
by: Li, Weiye, et al.
Published: (2025)

Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection?
by: Zhao, Yu, et al.
Published: (2024)

Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM
by: Yang, Xu, et al.
Published: (2025)

Towards Explainable Vulnerability Detection with Large Language Models
by: Mao, Qiheng, et al.
Published: (2024)

WACANA: A Concolic Analyzer for Detecting On-chain Data Vulnerabilities in WASM Smart Contracts
by: Wang, Wansen, et al.
Published: (2024)

Smart Contract Vulnerability Detection based on Static Analysis and Multi-Objective Search
by: Li, Dongcheng, et al.
Published: (2024)

On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities
by: Li, Zhen, et al.
Published: (2024)

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs
by: Zhu, Yuqi, et al.
Published: (2025)

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

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)

Context-Enhanced Vulnerability Detection Based on Large Language Model
by: Yang, Yixin, et al.
Published: (2025)

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

SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis
by: Lingxiang, Wang, et al.
Published: (2025)

Learning to Focus: Context Extraction for Efficient Code Vulnerability Detection with Language Models
by: Zheng, Xinran, et al.
Published: (2025)

Code Vulnerability Detection: A Comparative Analysis of Emerging Large Language Models
by: Sultana, Shaznin, et al.
Published: (2024)

Generating Equivalent Representations of Code By A Self-Reflection Approach
by: Li, Jia, et al.
Published: (2024)