Optimizing Mixture of Block Attention

The article likely discusses methods to improve the efficiency or performance of models that use a mixture of block attention mechanisms. Block attention is a technique used in large language models (LLMs) to process information in chunks, and optimizing its mixture could lead to faster training or better results. The source being ArXiv suggests this is a research paper, indicating a focus on novel techniques and experimental results.