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Related Questions
- What are the key factors that enable language models to generalize analogies with varying levels of abstraction?
- Can you explain how language models handle abstract concepts and relationships in analogies?
- How do language models adapt to different levels of abstraction in analogies, and what are the implications for their performance?
- What role does semantic similarity play in language models' ability to generalize analogies with varying levels of abstraction?
- How do language models learn to recognize and apply analogical reasoning across different domains and abstraction levels?
- Can you discuss the challenges of training language models to generalize analogies with varying levels of abstraction, and potential solutions?
- What are the potential applications of language models that can generalize analogies with varying levels of abstraction, and how might they impact various fields?
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