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Related Questions
- How do large language models utilize external knowledge graphs to improve their comprehension of idioms and metaphors?
- Can you explain the role of pre-training and fine-tuning in enabling LLMs to grasp nuanced expressions and figurative language?
- In what ways do LLMs leverage contextual information to disambiguate homographs and homophones in figurative language?
- How do LLMs handle the ambiguity of figurative language in multilingual contexts?
- What is the impact of data quality and diversity on LLMs' ability to understand figurative language?
- Can you describe the process by which LLMs learn to recognize and generate figurative language patterns?
- How do LLMs balance the trade-off between literal and figurative language interpretation in a given context?
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