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Related Questions
- What role do attention mechanisms play in understanding context in language models?
- How do pre-training objectives, such as masked language modeling, impact a model's contextual understanding?
- What is the significance of contextualized word embeddings in capturing nuances of language?
- How do models that incorporate graph-based structures, such as knowledge graphs, enhance contextual understanding?
- What is the relationship between a model's ability to recognize and generate coherent dialogue and its contextual understanding?
- How do models that leverage external knowledge, such as entity recognition and semantic role labeling, contribute to contextual understanding?
- What are the key challenges in evaluating a model's contextual understanding, and how can they be addressed?
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