Abstract: Large Language Models (LLMs) have shown significant challenges in detecting and repairing vulnerable code, particularly when dealing with vulnerabilities involving multiple aspects, such as ...

Many people who try using AI are disappointed with the results and feel they can’t trust a machine – but are there lessons we can learn from how AI is taking on mathematics?

Binary code summarization, while invaluable for understanding code semantics, is challenging due to its labor-intensive nature. This study delves into the potential of large language models (LLMs) for ...