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

Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

Abstract Large Language Models (LLMs) have drawn widespread attention and research
due to their astounding performance in text generation and reasoning tasks. Derivative …

As the ubiquity and complexity of system-on-chip (SoC) designs increase across electronic
devices, incorporating security into an SoC design flow poses significant challenges …

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 …

Code Large Language Models (LLMs) have demonstrated remarkable capabilities in
generating, understanding, and manipulating programming code. However, their training …

Prompting has become one of the main approaches to leverage emergent capabilities of
Large Language Models [Brown et al. NeurIPS 2020, Wei et al. TMLR 2022, Wei et al …

One of the main challenges of N-Version Programming is development cost: it requires
paying multiple teams to develop variants of the same system. To address this issue, we …

This thesis addresses the critical challenge of automating security test case generation from
attack trees, a process traditionally labor-intensive and lacking comprehensive automation …