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Related Questions
- How does modality fusion affect the interpretability of NLP models in terms of feature attribution and model transparency?
- Can you explain the impact of modality fusion on the explainability of NLP models, particularly in relation to model decision-making processes?
- What are the potential challenges and limitations of modality fusion in terms of interpretability and explainability?
- How can modality fusion be designed to promote interpretability and explainability in NLP models?
- What are the implications of modality fusion on the reliability and trustworthiness of NLP models in real-world applications?
- Can you discuss the relationship between modality fusion and model robustness, particularly in the context of adversarial attacks?
- How can researchers and practitioners balance the trade-off between modality fusion's benefits (e.g., improved performance) and its potential drawbacks (e.g., reduced interpretability)?
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