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 …, 2023 - 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 …

When chatgpt meets smart contract vulnerability detection: How far are we?

C Chen, J Su, J Chen, Y Wang, T Bi, J Yu… - ACM Transactions on …, 2023 - dl.acm.org
With the development of blockchain technology, smart contracts have become an important
component of blockchain applications. Despite their crucial role, the development of smart …

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] An efficient superhypersoft framework for evaluating llms-based secure blockchain platforms

M Mohamed, A Elmor, F Smarandache… - Neutrosophic Sets and …, 2024 - fs.unm.edu
In the age of modern technology, the use of the internet has become imperative. However,
this widespread access presents a double-edged sword and opens doors for hackers and …

Large language models for blockchain security: A systematic literature review

Z He, Z Li, S Yang, A Qiao, X Zhang, X Luo… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have emerged as powerful tools across various domains
within cyber security. Notably, recent studies are increasingly exploring LLMs applied to the …

Evaluating large language models in class-level code generation

X Du, M Liu, K Wang, H Wang, J Liu, Y Chen… - Proceedings of the …, 2024 - dl.acm.org
Recently, many large language models (LLMs) have been proposed, showing advanced
proficiency in code generation. Meanwhile, many efforts have been dedicated to evaluating …

Enhancing Static Analysis for Practical Bug Detection: An LLM-Integrated Approach

H Li, Y Hao, Y Zhai, Z Qian - Proceedings of the ACM on Programming …, 2024 - dl.acm.org
While static analysis is instrumental in uncovering software bugs, its precision in analyzing
large and intricate codebases remains challenging. The emerging prowess of Large …

Smartinv: Multimodal learning for smart contract invariant inference

SJ Wang, K Pei, J Yang - 2024 IEEE Symposium on Security and …, 2024 - computer.org
Smart contracts are software programs that enable diverse business activities on the
blockchain. Recent research has identified new classes of “machine un-auditable” bugs that …

A new approach to web application security: Utilizing gpt language models for source code inspection

Z Szabó, V Bilicki - Future Internet, 2023 - mdpi.com
Due to the proliferation of large language models (LLMs) and their widespread use in
applications such as ChatGPT, there has been a significant increase in interest in AI over the …