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 …

This comprehensive review and analysis delve into the intricate facets of bias within the
realm of deep learning. As artificial intelligence and machine learning technologies become …

Among the pressing issues facing Australian and other First Nations peoples is the
repatriation of the bodily remains of their ancestors, which are currently held in Western …

This book offers a detailed and comprehensive analysis of multi-aspect data learning,
focusing especially on representation learning approaches for unsupervised machine …

Among the pressing issues facing Australian and other First Nations peoples is the
repatriation of the bodily remains of their ancestors, which are currently held in Western …

Deep learning-based clustering approaches, which utilize deep neural networks to learn
latent feature representations for data clustering, have garnered significant attention in the …

Multi-aspect data represents information about entities/objects (such as customers, events
etc.) from various perspectives, encompassing multiple types of relationships or features …