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Related Questions
- What are the key differences between permutation importance and feature importance in the context of text summarization models?
- Can permutation importance be used to detect biases in text summarization models that favor certain topics, such as politics or entertainment?
- How can permutation importance be applied to identify biases in authorship attribution in text summarization models?
- What are some common pitfalls to avoid when using permutation importance to detect biases in text summarization models?
- Can permutation importance be used to evaluate the fairness of text summarization models in terms of topic coverage?
- How can permutation importance be used to identify biases in text summarization models that favor certain genres or domains, such as news or social media?
- What are the limitations of using permutation importance to detect biases in text summarization models, and are there any alternative methods that can be used in conjunction with permutation importance?
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