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Related Questions
- How do LLMs disambiguate homophones with multiple possible meanings in a single context?
- Can you explain the role of contextual information in resolving homophone ambiguity in LLMs?
- How do LLMs handle words with multiple meanings, such as 'bank' referring to a financial institution or a riverbank?
- What techniques do LLMs use to distinguish between homophones with different meanings in a given context?
- Can you provide examples of homophones that LLMs may struggle to disambiguate, and how they can be improved?
- How do LLMs balance the need to be contextually aware with the need to avoid overfitting to specific word meanings?
- Can you discuss the impact of homophone ambiguity on downstream tasks, such as natural language processing and machine translation?
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