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Related Questions
- Can large language models learn to capture the nuance of idiomatic expressions that have multiple possible meanings?
- How do LLMs handle ambiguities in grammar and meaning in idiomatic expressions, and what impact does it have on downstream tasks like language translation?
- Can LLMs learn to recognize when an idiomatic expression can be interpreted in multiple ways, and if so, how?
- In what ways do LLMs account for the non-compositionality of idiomatic expressions, where the meaning of the whole cannot be predicted from the parts?
- Can LLMs be fine-tuned to better handle ambiguous idiomatic expressions, and if so, what data and algorithms are most effective?
- How do LLMs compare to human evaluators in interpreting and explaining the meaning of ambiguous idiomatic expressions?
- Can LLMs generate new idiomatic expressions or adapt existing ones to make them more contextual and unambiguous?
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