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Related Questions
- What techniques do large language models use to identify and extract named entities from text?
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- What is the impact of entity sparsity on the performance of large language models in text summarization?
- Can large language models learn to recognize entities from context even if they are not explicitly mentioned?
- How do large language models handle ambiguity in named entity recognition, such as entities with multiple possible meanings?
- What role does pre-training play in enabling large language models to recognize entities that are not well-represented in the training data?
- How can large language models be fine-tuned to improve their performance on specific entity recognition tasks, such as recognizing entities in specific domains or languages?
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