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Related Questions
- How does entity-based attention address the issue of long-range dependencies in language models?
- Can you explain the limitations of entity-based attention in handling long-range dependencies in sequence-to-sequence tasks?
- What are some common techniques used to alleviate the limitations of entity-based attention in handling long-range dependencies?
- How does the use of multi-head attention in transformer models impact the handling of long-range dependencies compared to entity-based attention?
- What are some potential drawbacks of using entity-based attention for long-range dependency modeling in NLP tasks?
- Can you compare and contrast the performance of entity-based attention and self-attention mechanisms in handling long-range dependencies?
- How do the computational costs and memory requirements of entity-based attention impact its ability to handle long-range dependencies in large-scale language models?
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