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Related Questions
- What techniques do LLMs use to disambiguate homographs in natural language processing?
- How do LLMs leverage contextual information from external knowledge graphs to improve their understanding of homographs?
- Can you explain the role of semantic role labeling in helping LLMs handle homographs in context?
- What are some common challenges LLMs face when processing homographs, and how can they be addressed?
- How do LLMs use discourse-level information to resolve ambiguity in homographs?
- In what ways do LLMs utilize syntactic and semantic parsing to improve their handling of homographs?
- Can you discuss the impact of pre-training and fine-tuning on LLMs' ability to handle homographs?
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