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Related Questions
- What are the common challenges LLMs face when dealing with ambiguous references in natural language?
- Can you explain the concept of coreference resolution in LLMs and how it affects their performance on ambiguous references?
- How do LLMs handle contextual disambiguation when a word or phrase has multiple possible interpretations?
- What are some strategies that LLMs use to resolve ambiguous references, and what are their respective strengths and weaknesses?
- Can you discuss the role of named entity recognition (NER) in helping LLMs disambiguate references to specific entities?
- What are the limitations of current LLM approaches to handling ambiguous references in terms of scalability and computational efficiency?
- How do LLMs handle cases where the context is not sufficient to disambiguate a reference, and what are the implications for downstream tasks?
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