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Related Questions
- What are the key differences between model-agnostic and dataset-specific interpretability techniques in text summarization?
- How do model-agnostic techniques, such as SHAP and LIME, provide explanations for text summarization models?
- Can dataset-specific methods, like attention visualization, offer more insightful explanations for a specific summarization model's predictions?
- What are the advantages and disadvantages of using model-agnostic techniques in text summarization compared to dataset-specific methods?
- How can model-agnostic techniques help identify biases in text summarization models?
- What are some common pitfalls to avoid when using dataset-specific interpretability methods for text summarization?
- Can model-agnostic techniques be used to explain the output of a pre-trained text summarization model?
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