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Related Questions
- What techniques do LLMs use to disambiguate homophones in uncertain contexts?
- How do LLMs weigh the importance of precision versus flexibility when resolving homophone ambiguity?
- Can LLMs learn to adapt to ambiguous contexts through exposure to diverse training data?
- What role does contextual information play in helping LLMs resolve homophone ambiguity?
- How do LLMs handle cases where multiple homophone interpretations are plausible in a given context?
- What is the impact of overfitting on LLMs' ability to generalize and adapt to new contexts?
- Are there any specific architectures or techniques that are particularly well-suited for handling homophone ambiguity in LLMs?
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