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Related Questions
- Can large language models learn from context to distinguish between synonyms and homographs?
- How do contextual representations, such as sentence and document embeddings, aid large language models in resolving ambiguity in polysemous and homophonic words?
- Can you elaborate on the impact of co-occurrence and statistical methods on the accuracy of large language models in resolving polysemous and homophonic word senses?
- Do large language models utilize topic modeling techniques to disentangle semantically related information and disambiguate homophonic words?
- Can you describe the challenges large language models face in learning contextual nuances for inflected forms and how can these be overcome?
- How do pre-trained large language models generalize across different domains to adapt to polysemous and homophonic word senses?
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