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Related Questions
- What strategies can be employed to improve LLMs' ability to capture nuanced meanings and context-dependent interpretations?
- How do LLMs currently handle homophones and words with multiple related senses, and what are the limitations of their current approaches?
- Can you explain the concept of 'semantic shift' in the context of LLMs and its impact on performance with homophones?
- What role does word sense induction play in improving LLMs' accuracy with words that have multiple related senses?
- How can LLMs be trained to better understand metaphoric extensions and figurative language?
- What are some techniques for incorporating external knowledge and world knowledge into LLMs to improve their accuracy with homophones?
- Can you discuss the potential benefits of using multi-task learning and transfer learning to improve LLMs' performance with homophones?
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