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Related Questions
- What are some techniques to reduce the computational complexity of entity-based attention mechanisms?
- How can sparse attention mechanisms be applied to entity-based attention to improve efficiency?
- What are some strategies to leverage parallelization and distributed computing for large-scale entity-based attention deployment?
- Can entity-based attention be approximated using low-rank factorization or other dimensionality reduction techniques?
- How can the number of entities and their corresponding attention weights be optimized for efficient computation?
- Are there any methods to adaptively adjust the attention weights based on the input sequence and entity features?
- Can entity-based attention be combined with other efficient attention mechanisms, such as local attention or relative attention, to further reduce computational requirements?
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