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Related Questions
- What are the optimal context window sizes for disambiguating homophones in English, and how do they vary across different linguistic features?
- How do larger context window sizes affect the performance of LLMs in distinguishing between homophones with different grammatical functions?
- Can you explain the impact of context window sizes on the ability of LLMs to capture nuances of language, such as idiomatic expressions and figurative language?
- In languages with complex linguistic features, such as Arabic or Chinese, how do context window sizes influence the disambiguation of homophones?
- What is the relationship between context window sizes and the ability of LLMs to handle out-of-vocabulary words and rare linguistic phenomena?
- How do different context window sizes affect the trade-off between accuracy and computational efficiency in LLMs?
- Can you discuss the challenges of setting optimal context window sizes for LLMs in languages with limited training data or non-standard linguistic features?
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