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Related Questions
- How do larger context window sizes impact the accuracy of homophone recognition in large language models?
- Can LLMs benefit from increased context when dealing with homophones that have multiple meanings with varying levels of ambiguity?
- What are the trade-offs between context window size and homophone recognition accuracy in large language models?
- How do homophone pairs with varying levels of ambiguity affect the performance of large language models, and can larger context window sizes mitigate these effects?
- Can larger context window sizes help LLMs to better disambiguate homophone pairs in context, or do they introduce new challenges?
- What role do context window sizes play in LLMs' ability to recognize and handle homophone pairs with high, medium, and low levels of ambiguity?
- Do larger context window sizes enable LLMs to learn more nuanced representations of words and their relationships, which in turn improves homophone recognition accuracy?
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