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Related Questions
- How do large language models process and understand figurative language, such as metaphors and idioms, in complex texts?
- Can large language models learn to recognize and interpret idiomatic expressions in a way that is similar to human language understanding?
- What techniques are used by large language models to disambiguate figurative language in context, and how do they improve over time?
- Do large language models have difficulty with nuanced figurative language, such as sarcasm, irony, or double meanings?
- How do large language models handle figurative language in texts with multiple layers of meaning, such as complex metaphors or nested idioms?
- Can large language models generate creative and innovative figurative language, or are they limited to recognizing and reproducing existing examples?
- What are the implications of large language models' understanding of figurative language for their ability to interpret and generate human-like text?
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