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Related Questions
- Can attention mechanisms capture nuanced semantic relationships in long documents?
- How does attention flow across sentences in a paragraph-level text summarization task?
- Do attention mechanisms struggle with resolving pronoun and coreference resolution?
- In what scenarios do attention-based models prioritize entities and topic-related content over trivial or redundant information?
- Are there techniques to make attention weights more interpretable, helping to debug models or pinpoint areas for improvement?
- How does the quality of pre-training data influence the ability of attention-based models to focus on key information in the input text?
- Can attention-based models learn to distinguish between different types of information (e.g., entities, events, relationships) in text?
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