Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This paper explores the use ...
In this paper, we present an approach to lexicon optimization for Chinese language modeling. The method is an iterative procedure consisting of two phases, namely lexicon generation and lexicon ...
Abstract: This paper outlines a systematic methodology based on the superposition principle to develop a unified model for a Triple Active Bridge (TAB) converter. The proposed model is valid for all ...
Abstract: The surge in intelligent edge computing has propelled the adoption and expansion of the distributed embedded systems (DESs). Numerous scheduling strategies are introduced to improve the DES ...
ABSTRACT: Large Language Models (LLMs) exhibit remarkable capabilities; however, they possess inherent limitations due to static training, which leads to outdated information and hallucinations.