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Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...

Abstract: We propose a generative model for robust tensor factorization in the presence of both missing data and outliers. The objective is to explicitly infer the underlying low-CANDECOMP/PARAFAC (CP ...

Abstract: Urban streams in rapidly growing cities are increasingly susceptible to sudden rises in water levels during intense precipitation events due to the lack of public investment or extreme ...