The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
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 …
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 …
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 …
Large language models (LLMs) have demonstrated significant potential in various tasks, including vulnerability detection. However, current efforts in this area are preliminary, lacking …
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 …
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 …
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 …
Natural Language Processing (NLP) domain is experiencing a revolution due to the capabilities of Pre-trained Large Language Models (LLMs), fueled by ground-breaking …