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Related Questions
- What are saliency maps and how are they used in interpreting transformer-based models like BERT and RoBERTa?
- How do saliency maps help identify the most important input features in transformer-based models?
- Can you explain the relationship between attention weights and saliency maps in transformer-based models?
- What are some common challenges and limitations of using saliency maps in transformer-based models?
- How do saliency maps compare to other interpretation methods, such as feature importance and partial dependence plots?
- Can you provide an example of how saliency maps can be used to interpret a specific transformer-based model, such as BERT or RoBERTa?
- How can saliency maps be used to improve the interpretability of transformer-based models in real-world applications?
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