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Related Questions
- How does entity-based attention differ from traditional attention in terms of its focus on specific entities in the input sequence?
- What are the advantages of using entity-based attention in LLMs, particularly in tasks involving complex relationships between entities?
- Can you explain the role of entity representations in entity-based attention and how they influence the attention weights?
- How does entity-based attention handle situations where multiple entities are relevant but have different importance levels?
- What are the computational costs associated with entity-based attention compared to traditional attention mechanisms?
- Can you provide examples of tasks or applications where entity-based attention is particularly beneficial, such as question answering or text classification?
- How does entity-based attention interact with other components of the LLM architecture, such as the encoder and decoder?
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