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Related Questions
- What are the challenges faced by large language models in replicating human nuance in summarization tasks?
- How do human summarizers use contextual understanding to create accurate and informative summaries?
- Can large language models learn to capture subtle relationships between documents in a multi-document summarization task?
- What are some techniques used by researchers to improve the nuance of large language model summaries?
- In what ways do human summarizers and large language models differ in their approaches to summarization?
- Can large language models be trained to recognize and replicate the rhetorical devices used in human-written summaries?
- How do large language models handle figurative language and idioms in multi-document summarization tasks?
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