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Related Questions
- How do large language models handle polysemous words with multiple meanings?
- What techniques do LLMs employ to resolve semantic ambiguity in text?
- Can you explain the role of word embeddings in resolving homograph and homophone ambiguity?
- How do LLMs use context to disambiguate words with multiple meanings?
- Are there any specific algorithms or techniques used by LLMs to handle homograph and homophone disambiguation?
- How do LLMs distinguish between similar-sounding words with different meanings?
- What is the impact of pre-training data on an LLM's ability to disambiguate homographs and homophones?
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