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Related Questions
- What are the primary causes of the over-attention phenomenon in transformer-based models, and how can they be addressed?
- Can you explain the relationship between over-attention and translation quality, and provide strategies to mitigate its impact?
- How can attention visualization techniques, such as attention heatmaps, be used to identify and address over-attention in transformer-based models?
- What role does token-level attention play in the over-attention phenomenon, and how can it be modified to improve translation quality?
- Can you discuss the impact of over-attention on bias in transformer-based models, and provide suggestions for reducing bias?
- What are some techniques for regularizing transformer-based models to prevent over-attention, such as attention regularization and gradient penalty?
- How can multi-task learning and transfer learning be used to improve the robustness of transformer-based models and reduce the impact of over-attention?
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