Large language models for software engineering: A systematic literature review

X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li… - ACM Transactions on …, 2024 - dl.acm.org
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Large language models for cyber security: A systematic literature review

HX Xu, SA Wang, N Li, K Wang, Y Zhao, K Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …

Diversevul: A new vulnerable source code dataset for deep learning based vulnerability detection

Y Chen, Z Ding, L Alowain, X Chen… - Proceedings of the 26th …, 2023 - dl.acm.org
We propose and release a new vulnerable source code dataset. We curate the dataset by
crawling security issue websites, extracting vulnerability-fixing commits and source codes …

Refining chatgpt-generated code: Characterizing and mitigating code quality issues

Y Liu, T Le-Cong, R Widyasari… - ACM Transactions on …, 2024 - dl.acm.org
Since its introduction in November 2022, ChatGPT has rapidly gained popularity due to its
remarkable ability in language understanding and human-like responses. ChatGPT, based …

Evaluating large language models: A comprehensive survey

Z Guo, R Jin, C Liu, Y Huang, D Shi, L Yu, Y Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have demonstrated remarkable capabilities across a broad
spectrum of tasks. They have attracted significant attention and been deployed in numerous …

Llm4vuln: A unified evaluation framework for decoupling and enhancing llms' vulnerability reasoning

Y Sun, D Wu, Y Xue, H Liu, W Ma, L Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have demonstrated significant potential in various tasks,
including vulnerability detection. However, current efforts in this area are preliminary, lacking …

[PDF][PDF] GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis

Y Sun, D Wu, Y Xue, H Liu, H Wang, Z Xu… - arXiv preprint arXiv …, 2023 - scidirect.org
Smart contracts are prone to various vulnerabilities, leading to substantial financial losses
over time. Current analysis tools mainly target vulnerabilities with fixed control-or data-flow …

Large language model for vulnerability detection and repair: Literature review and the road ahead

X Zhou, S Cao, X Sun, D Lo - ACM Transactions on Software …, 2024 - dl.acm.org
The significant advancements in Large Language Models (LLMs) have resulted in their
widespread adoption across various tasks within Software Engineering (SE), including …

From llms to llm-based agents for software engineering: A survey of current, challenges and future

H Jin, L Huang, H Cai, J Yan, B Li, H Chen - arXiv preprint arXiv …, 2024 - arxiv.org
With the rise of large language models (LLMs), researchers are increasingly exploring their
applications in var ious vertical domains, such as software engineering. LLMs have …

Revolutionizing cyber threat detection with large language models

MA Ferrag, M Ndhlovu, N Tihanyi, LC Cordeiro… - arXiv preprint arXiv …, 2023 - arxiv.org
Natural Language Processing (NLP) domain is experiencing a revolution due to the
capabilities of Pre-trained Large Language Models (LLMs), fueled by ground-breaking …