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Related Questions
- What is polysemy and how does it affect the accuracy of word embeddings in LLMs?
- Can you explain how LLMs handle word senses and polysemy in word embeddings?
- How do LLMs account for polysemy when generating word embeddings, and what are the implications for downstream tasks?
- What techniques are used to mitigate the effects of polysemy on word embeddings in large language models?
- How does the presence of polysemy impact the performance of LLMs in tasks such as named entity recognition and sentiment analysis?
- Can you describe the relationship between polysemy and the quality of word embeddings in LLMs?
- What are some common challenges associated with handling polysemy in LLMs and how are they addressed?
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