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Related Questions
- What are the key differences between model-agnostic and model-specific interpretability techniques in text summarization?
- Can you explain how model-agnostic techniques can be applied to various text summarization models?
- How do model-specific methods, such as attention-based explanations, differ from model-agnostic techniques like feature importance?
- What are the advantages and disadvantages of using model-agnostic techniques in text summarization?
- Can you provide examples of model-agnostic techniques that can be used for text summarization, such as SHAP or LIME?
- How do model-agnostic techniques handle the complexity of text data in text summarization?
- What are the challenges of applying model-agnostic techniques to text summarization models with high-dimensional input spaces?
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