:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhou, Xin, Zhang, Ting, Lo, David
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering
Accesso online:	https://arxiv.org/abs/2401.15468
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead
di: Zhou, Xin, et al.
Pubblicazione: (2024)

Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions
di: Peng, Huiyun, et al.
Pubblicazione: (2024)

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

Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection
di: Zhou, Xin, et al.
Pubblicazione: (2024)

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

Hotfixing Large Language Models for Code
di: Yang, Zhou, et al.
Pubblicazione: (2024)

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

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models
di: Zhang, Ting, et al.
Pubblicazione: (2023)

Ecosystem of Large Language Models for Code
di: Yang, Zhou, et al.
Pubblicazione: (2024)

Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks
di: Hu, Xing, et al.
Pubblicazione: (2025)

Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models
di: Chang, Jianming, et al.
Pubblicazione: (2025)

Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead
di: Shi, Jieke, et al.
Pubblicazione: (2024)

Multi-LLM Collaboration + Data-Centric Innovation = 2x Better Vulnerability Repair
di: Zhou, Xin, et al.
Pubblicazione: (2024)

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

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

HALURust: Exploiting Hallucinations of Large Language Models to Detect Vulnerabilities in Rust
di: Luo, Yu, et al.
Pubblicazione: (2025)

DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection
di: Yang, Yanjing, et al.
Pubblicazione: (2024)

Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software
di: Cheng, Yiran, et al.
Pubblicazione: (2025)

Greening Large Language Models of Code
di: Shi, Jieke, et al.
Pubblicazione: (2023)

A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection
di: Yu, Junji, et al.
Pubblicazione: (2025)

Evaluating Large Language Models for Multilingual Vulnerability Detection at Dual Granularities
di: Shu, Honglin, et al.
Pubblicazione: (2025)

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

Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code
di: Yang, Zhou, et al.
Pubblicazione: (2024)

Human-Aligned Code Readability Assessment with Large Language Models
di: Ouédraogo, Wendkûuni C., et al.
Pubblicazione: (2025)

Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection
di: Li, Yikun, et al.
Pubblicazione: (2026)

CUPID: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection
di: Zhang, Ting, et al.
Pubblicazione: (2023)

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories
di: Liu, Shuhan, et al.
Pubblicazione: (2025)

MOS: Towards Effective Smart Contract Vulnerability Detection through Mixture-of-Experts Tuning of Large Language Models
di: Yuan, Hang, et al.
Pubblicazione: (2025)

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

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

On the Evaluation of Large Language Models in Multilingual Vulnerability Repair
di: wang, Dong, et al.
Pubblicazione: (2025)

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
di: Weyssow, Martin, et al.
Pubblicazione: (2023)

SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection
di: Nguyen, Van, et al.
Pubblicazione: (2024)

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

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

FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models
di: Xu, Chuyang, et al.
Pubblicazione: (2024)

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation
di: Hu, Li, et al.
Pubblicazione: (2026)

Large Language Models Versus Static Code Analysis Tools: A Systematic Benchmark for Vulnerability Detection
di: Gnieciak, Damian, et al.
Pubblicazione: (2025)

Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework
di: Yang, Chengran, et al.
Pubblicazione: (2025)

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