Recently, tool learning with large language models (LLMs) has emerged as a promising
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …

The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …

The adoption of large language models (LLMs) in healthcare demands a careful analysis of
their potential to spread false medical knowledge. Because LLMs ingest massive volumes of …

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 …

The recent progression of Large Language Models (LLMs) has witnessed great success in
the fields of data-centric applications. LLMs trained on massive textual datasets showed …

Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across
diverse sectors, offering adaptable solutions to complex challenges in both military and …

In-context learning (ICL) has emerged as a powerful paradigm leveraging LLMs for specific
downstream tasks by utilizing labeled examples as demonstrations (demos) in the …

Ensuring the security of large language models (LLMs) against attacks has become
increasingly urgent, with jailbreak attacks representing one of the most sophisticated threats …

Retrieval-Augmented Generation (RAG) has quickly grown into a pivotal paradigm in the
development of Large Language Models (LLMs). While much of the current research in this …

Embodied robots which can interact with their environment and neighbours are increasingly
being used as a test case to develop Artificial Intelligence. This creates a need for …