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Related Questions
- What are the key factors that influence the trade-off between precision and recall in entity identification when using large language models with different entity granularity settings?
- How does the choice of entity granularity setting impact the performance of large language models in terms of precision and recall?
- What are the implications of using a coarse-grained vs. fine-grained entity granularity on entity identification accuracy?
- How do large language models handle out-of-vocabulary words when using different entity granularity settings?
- Can you explain the relationship between entity granularity and the number of potential entities in a text?
- What are the trade-offs between using a large language model with a high entity granularity setting versus a smaller model with a lower entity granularity setting?
- How does the choice of entity granularity affect the computational resources required for entity identification tasks using large language models?
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