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Related Questions
- What are the primary training objectives of large language models and how do they impact common sense reasoning in context-dependent language tasks?
- How do models handle ambiguity and nuance in language when it comes to common sense reasoning in context-dependent tasks?
- What are the implications of overfitting and underfitting on the common sense reasoning capabilities of language models in context-dependent tasks?
- Can you explain the relationship between the size of a language model and its ability to reason about common sense in context-dependent tasks?
- How do language models handle analogies and metaphors in context-dependent tasks and what are the implications for common sense reasoning?
- What role does contextualization play in enhancing the common sense reasoning capabilities of language models in context-dependent tasks?
- Can you discuss the impact of pre-training objectives on the ability of language models to reason about common sense in context-dependent tasks?
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