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Related Questions
- Can entity-based attention lead to increased computational complexity in the model architecture?
- How does entity-based attention impact the model's ability to generalize across different domains?
- Can entity-based attention amplify existing biases present in the training data?
- In what ways can entity-based attention be used to improve model interpretability without sacrificing performance?
- Are there any specific entity-based attention techniques that are more effective for interpretability than others?
- Can entity-based attention be combined with other interpretability techniques to achieve better results?
- Are there any challenges in implementing entity-based attention in certain types of neural networks, such as transformer-based models?
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