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Related Questions
- What are the primary factors contributing to semantic shift in LLMs and how does it affect their performance with homophones?
- Can you provide examples of semantic shift in LLMs and how it impacts their ability to understand and generate text with homophones?
- How do LLMs handle semantic shift when dealing with homophones that have multiple meanings, such as 'bank' referring to a financial institution or the side of a river?
- What techniques can be employed to mitigate the effects of semantic shift on LLM performance with homophones?
- How do LLMs determine the context-dependent meanings of homophones, and what role does semantic shift play in this process?
- Can you explain the relationship between semantic shift and the concept of 'sense alignment' in LLMs, and how it affects their ability to handle homophones?
- What are some potential consequences of semantic shift on LLM performance in real-world applications, such as language translation or text summarization?
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