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Related Questions
- What is the role of gradient-based methods in understanding NLP models?
- How do saliency maps and feature importance help identify relevant information in NLP tasks?
- Can you explain the differences between saliency maps and feature importance in NLP?
- How do gradient-based methods handle complex NLP tasks, such as sentiment analysis and named entity recognition?
- What are some common challenges and limitations of using gradient-based methods in NLP?
- How do gradient-based methods compare to other explainability techniques, such as attention mechanisms and interpretability frameworks?
- Can you provide examples of how gradient-based methods have been applied in real-world NLP applications?
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