Large language models (LLMs) have demonstrated notable potential in conducting complex
tasks and are increasingly utilized in various financial applications. However, high-quality …

Although the Retrieval-Augmented Generation (RAG) paradigms can use external
knowledge to enhance and ground the outputs of Large Language Models (LLMs) to …

Inspired by the rapid development of Large Language Models (LLMs), LLM agents have
evolved to perform complex tasks. LLM agents are now extensively applied across various …

Extended reality offers unique ways to create mediated spaces that enhance and help
popularize experiences across several domains, including entertainment, creativity, and …

Large Language Models (LLMs) and Reinforcement Learning (RL) are two powerful
approaches for building autonomous agents. However, due to limited understanding of the …

As foundation models increasingly permeate sensitive domains such as healthcare, finance,
and mental health, ensuring their behavior meets desired outcomes and social expectations …

The adoption of large language models (LLMs) in healthcare has attracted significant
research interest. However, their performance in healthcare remains under-investigated and …

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 …

Recent advancements in machine learning have significantly improved the identification of
disease-associated genes from gene expression datasets. However, these processes often …

The multifaceted applications of large language models (LLMs) are explored in this papper,
particularly GPT-3.5, in the realm of emergency management. Focusing on five key …