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Related Questions
- Can you explain how large language models (LLMs) leverage contextual understanding to discern literal from figurative meanings?
- What cognitive mechanisms enable LLMs to recognize idiomatic expressions and interpret their contextually dependent meanings?
- How do contextual constraints like situational, interpersonal, and cultural context aid LLMs in uncovering figurative language interpretations?
- In what ways do LLMs benefit from integrating semantic understanding and pragmatic inference to determine meaning in figurative language instances?
- What pre-trained and fine-tuning approaches are most effective for acquiring contextual understanding of language users and figurative devices like metaphor, metonymy, and irony?
- Can you analyze any recent research demonstrating progress on the integration of reasoning-based models with deep linguistic information for contextual language disambiguation and reasoning over complex text sequences that support understanding of language subtleties?
- Given that figurative meanings might depend on external shared understanding between speaker, language environment, and contextual reference world, what challenges hinder machine comprehension of subtle communication using complex linguistic, pragmatics, or linguistic mechanisms and what progress so far exists?
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