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Related Questions
- Can linguistic diversity affect the generalizability of language models to different dialects and languages?
- How do large language models handle idiomatic expressions that are specific to certain linguistic or cultural contexts?
- What techniques can be employed to make large language models more adept at understanding figurative language across diverse linguistic backgrounds?
- Can exposure to a wide range of linguistic data help improve the performance of large language models on figurative language understanding?
- To what extent do linguistic differences between languages impact the ability of large language models to grasp nuances of figurative language?
- What are some potential challenges or biases that large language models may encounter when processing figurative language in languages with unique grammatical or stylistic features?
- How can the linguistic diversity of training data affect the ability of large language models to recognize and understand humor, sarcasm, and other forms of figurative language?
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