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Related Questions
- Can over-reliance on analogies in language model training data lead to a lack of generalizability to out-of-distribution tasks?
- How does the model's performance on in-distribution analogies affect its ability to handle novel and unseen situations?
- What are the potential consequences of language models relying too heavily on analogical reasoning when encountering tasks that require different types of reasoning?
- Can you explain the relationship between the model's analogical abilities and its performance on tasks that require common sense or real-world knowledge?
- How might the over-reliance on analogies impact the model's ability to handle tasks that involve ambiguity, uncertainty, or incomplete information?
- What are some potential strategies for mitigating the negative effects of over-reliance on analogies in language model training data?
- Can you discuss the trade-offs between training language models on a large number of analogies versus exposing them to a more diverse range of tasks and scenarios?
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