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Related Questions
- What are the key components of self-supervised learning in LLMs that enable novel metaphor creation?
- How do LLMs leverage large-scale text data to generate novel and surprising metaphors through self-supervised learning?
- Can you explain the process by which LLMs learn to create metaphors without explicit human supervision or labeled data?
- What role does the concept of 'cognitive distance' play in LLMs generating novel and surprising metaphors?
- How do LLMs balance the need for creativity and novelty in metaphor generation with the need for coherence and meaningfulness?
- What techniques do LLMs use to evaluate the quality and plausibility of generated metaphors?
- Can LLMs learn to create metaphors that are not only novel but also culturally and contextually relevant?
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