Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

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 …

In recent years, large language models (LLMs) have demonstrated notable success across
various tasks, but the trustworthiness of LLMs is still an open problem. One specific threat is …

Code models have made significant advancements in code intelligence by encoding
knowledge about programming languages. While previous studies have explored the …

In this work we systematically review the recent advancements in code processing with
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …

The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI
agents, ie, LLM-based agents. Compared to standalone LLMs, LLM-based agents …

This survey explores the transformative role of Generative Artificial Intelligence (GenAI) in
enhancing the trustworthiness, reliability, and security of autonomous systems such as …

Binary code representation learning has shown significant performance in binary analysis
tasks. But existing solutions often have poor transferability, particularly in few-shot and zero …

In the context of the rising interest in code language models (code LMs) and vulnerability
detection, we study the effectiveness of code LMs for detecting vulnerabilities. Our analysis …

Smart contracts are decentralized applications built atop blockchains like Ethereum. Recent
research has shown that large language models (LLMs) have potential in auditing smart …