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Related Questions
- How do saliency maps and feature importance methods compare in terms of interpretability and explainability in text summarization models?
- Can you explain the underlying assumptions and limitations of saliency maps in text summarization, and how they differ from feature importance methods?
- What are the differences in the types of insights provided by saliency maps and feature importance methods in understanding text summarization models?
- How do saliency maps and feature importance methods handle out-of-distribution or adversarial inputs in text summarization?
- What are the implications of using saliency maps versus feature importance methods for model interpretability and trustworthiness in text summarization?
- Can you discuss the relationship between saliency maps and feature importance methods in the context of model explainability and fairness in text summarization?
- How do saliency maps and feature importance methods affect the development of more transparent and accountable text summarization models?
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