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Related Questions
- What are some effective strategies for fine-tuning LLMs on analogy tasks using transfer learning?
- How can we leverage pre-trained language models for metaphor understanding and generation?
- What are some common challenges in fine-tuning LLMs for analogy and metaphor tasks, and how can we address them?
- Can you explain the concept of analogical reasoning and how it can be applied to LLMs?
- How do we evaluate the performance of LLMs on analogy and metaphor tasks, and what metrics can we use?
- What are some techniques for adapting pre-trained LLMs to specific domains or tasks, such as analogy and metaphor?
- Can you discuss the role of contextualized embeddings in improving LLMs' ability to understand and generate analogies and metaphors?
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