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Related Questions
- Can you provide examples of words with similar frequencies but distinct contexts that LLMs struggle to disambiguate?
- How does contextual information assist LLMs in discerning the intended meaning of homographs with overlapping semantic fields?
- What techniques do LLMs employ to leverage contextual information and resolve ambiguity when encountering homographs with vague or polysemous senses?
- Discuss the importance of contextual disambiguation in scenarios where LLMs lack explicit semantic annotations or sense labels.
- Can you describe the benefits of incorporating contextual information as a key factor in mitigating the homograph's frequency-based ambiguity?
- What role do contextual features such as words, phrases, and sentence-level information play in disambiguating homographs?
- How does the incorporation of contextual information impact the performance of LLMs in tasks like question answering, sentiment analysis, and text classification?
- What emerging techniques or approaches can exploit contextual information to further refine LLMs' performance in disambiguating homographs with complex nuances?
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