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Related Questions
- What are the common challenges LLMs face when processing idiomatic language, such as idioms, colloquialisms, and figurative language?
- How do LLMs currently handle nuance and context in idiomatic expressions, and what are the limitations of their approaches?
- What role do semantics, pragmatics, and discourse analysis play in understanding idiomatic language, and how can LLMs be improved in these areas?
- Can you explain the difference between literal and figurative language processing, and how LLMs can be designed to better handle figurative language?
- What are the implications of LLMs' limitations in processing idiomatic language for their applications in natural language processing, language teaching, and human-computer interaction?
- How can the development of more advanced LLMs, such as those incorporating multimodal or multi-task learning, help address the challenges of idiomatic language processing?
- What are some potential future research directions for improving LLMs' ability to process idiomatic language, and what are the potential benefits and challenges of these approaches?
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