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Related Questions
- How do large language models distinguish between homophones and homographs in text?
- Can you explain the challenges of handling homophones and homographs in natural language processing?
- What are the implications of homophones and homographs on the semantic understanding of language models?
- How do large language models account for context when dealing with homophones and homographs?
- What are some common examples of homophones and homographs that can be challenging for language models to handle?
- How do language models' ability to handle homophones and homographs impact their overall performance in tasks such as question answering and text classification?
- Can you discuss the potential limitations of language models in understanding nuanced language use, such as homophones and homographs, and how they can be addressed through future research and development?
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