There is a minor bug with the sparse structure resolution parameter when running at 64 in cascade mode. The code initializes the model in 512 mode causing the model ...

High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...

Abstract: Sparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance. Due to the merit of ...

A significant challenge in deploying large language models (LLMs) and latent variable models (LVMs) is balancing low inference overhead with the ability to rapidly switch adapters. Traditional methods ...

Data structures and algorithms are crucial for efficient problem-solving in computer science, enabling effective data organization and manipulation for fast, reliable software. Learning them enhances ...

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Applied Materials Technology Center, Panasonic Holdings Corporation, 3-1-1 Yagumo-nakamachi, Moriguchi, Osaka 570-8501, Japan ...