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Related Questions
- Can large language models (LLMs) learn to distinguish between homographs with different meanings based on contextual clues?
- How do LLMs handle homographs in natural language processing tasks?
- Can LLMs improve their understanding of homographs through exposure to large datasets and contextual training?
- What role does contextual information play in helping LLMs disambiguate homographs?
- Can LLMs learn to recognize patterns in language that indicate the intended meaning of a homograph?
- How do LLMs handle homographs in tasks such as question answering and text classification?
- Can LLMs be fine-tuned to improve their performance on homograph disambiguation tasks?
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