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Related Questions
- How do large language models handle unknown words during text summarization?
- Can large language models learn to generate summaries for text containing slang or domain-specific terminology?
- What techniques do large language models use to infer the meaning of out-of-vocabulary words in a given text?
- In what ways do large language models adapt to new words or terminology in real-world text summarization tasks?
- Can large language models be fine-tuned to recognize and summarize text containing technical jargon or specialized vocabulary?
- How do large language models balance the need to generalize to unknown words with the need to maintain accuracy in text summarization?
- Can large language models learn to adapt to regional dialects or colloquialisms in text summarization tasks?
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