Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Large language models for cyber security: A systematic literature review
The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
When chatgpt meets smart contract vulnerability detection: How far are we?
With the development of blockchain technology, smart contracts have become an important
component of blockchain applications. Despite their crucial role, the development of smart …
component of blockchain applications. Despite their crucial role, the development of smart …
Llm4vuln: A unified evaluation framework for decoupling and enhancing llms' vulnerability reasoning
Large language models (LLMs) have demonstrated significant potential in various tasks,
including vulnerability detection. However, current efforts in this area are preliminary, lacking …
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
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 …
this widespread access presents a double-edged sword and opens doors for hackers and …
Large language models for blockchain security: A systematic literature review
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 …
within cyber security. Notably, recent studies are increasingly exploring LLMs applied to the …
Evaluating large language models in class-level code generation
Recently, many large language models (LLMs) have been proposed, showing advanced
proficiency in code generation. Meanwhile, many efforts have been dedicated to evaluating …
proficiency in code generation. Meanwhile, many efforts have been dedicated to evaluating …
Enhancing Static Analysis for Practical Bug Detection: An LLM-Integrated Approach
While static analysis is instrumental in uncovering software bugs, its precision in analyzing
large and intricate codebases remains challenging. The emerging prowess of Large …
large and intricate codebases remains challenging. The emerging prowess of Large …
Smartinv: Multimodal learning for smart contract invariant inference
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 …
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 …
applications such as ChatGPT, there has been a significant increase in interest in AI over the …