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Related Questions
- How does entity recognition improve the accuracy of summary generation in large language models?
- What are the common entity types recognized by large language models in summary generation, such as person, organization, location, or event?
- Can you explain how entity recognition impacts the coherence and relevance of generated summaries in large language models?
- What are some common challenges faced by large language models in entity recognition during summary generation?
- How do large language models handle out-of-vocabulary entities during summary generation?
- Can you discuss the role of entity recognition in improving the fidelity and accuracy of generated summaries in large language models?
- What are some techniques for fine-tuning entity recognition in large language models for improved summary generation?
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