Multimodal Large Language Models (MLLMs) have attracted much attention for their multifunctionality. However, traditional Transformer architectures incur significant overhead due to their secondary ...
Abstract: Quantum Computing (QC) technology and Deep Learning (DL) science have garnered significant attention for their potential to revolutionize computation. This paper introduces the basic ...
Abstract: Background: On the way towards a commonly agreed framework for auditing ML algorithms, in our previous paper we proposed a 30-question core criteria catalog. In this paper, we apply our ...