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1.What is the primary bottleneck of standard full attention in long-context language modeling?

2.What is a disadvantage of sliding window attention compared to full attention?

3.How does Switch Attention (SwiAttn) address the limitations of existing hybrid models?

4.What is the purpose of the adaptive regularization objective in Switch Attention?