TrustRAG is a configurable and modular Retrieval-Augmented Generation (RAG) framework designed to provide reliable input and trusted output, ensuring users can obtain high-quality and trustworthy ...

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Abstract: The rapid development of Large Language Models (LLMs) has led to advances in natural language processing, but handling mathematical tasks remains a challenge due to the demands of text ...

Abstract: The focus of this article is on developing a prediction-based controller for a class of hysteretic nonlinear systems with input and output delays to track desired trajectories. In comparison ...