The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …

In the rapidly evolving landscape of artificial intelligence (AI), the collaboration between
human intelligence and AI systems, known as Human-AI (HAI) Teaming, has emerged as a …

Autonomous driving (AD) has made significant strides in recent years. However existing
frameworks struggle to interpret and execute spontaneous user instructions such as" …

Vision-language generative AI has demonstrated remarkable promise for empowering cross-
modal scene understanding of autonomous driving and high-definition (HD) map systems …

Despite real-time planners exhibiting remarkable performance in autonomous driving, the
growing exploration of Large Language Models (LLMs) has opened avenues for enhancing …

Foundation models have indeed made a profound impact on various fields, emerging as
pivotal components that significantly shape the capabilities of intelligent systems. In the …

Data-driven approaches for autonomous driving (AD) have been widely adopted in the past
decade but are confronted with dataset bias and uninterpretability. Inspired by the …

Large language models (LLMs) as autonomous agents offer a novel avenue for tackling real-
world challenges through a knowledge-driven manner. These LLM-enhanced …

In this work, from a theoretical lens, we aim to understand why large language model (LLM)
empowered agents are able to solve decision-making problems in the physical world. To …

Large Language Models (LLMs), based on their highly developed ability to comprehend and
generate human-like text, promise to revolutionize all aspects of society. These LLMs …