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Related Questions
- What strategies do large language models use to differentiate between homophones such as 'to', 'too', and 'two'?
- How do LLMs handle homographs like 'bank' which can refer to a financial institution or the side of a river?
- What techniques are employed by LLMs to disambiguate words with multiple meanings, such as 'spring' which can be a season or a coiled metal object?
- Can LLMs learn to recognize context-dependent homographs, and if so, how?
- How do LLMs handle homophones in different languages, and are there any differences in the strategies used?
- What role does semantic role labeling play in helping LLMs to disambiguate homographs and homophones?
- Are there any limitations to the ability of LLMs to handle ambiguity in language caused by homophones and homographs, and if so, what are they?
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