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Related Questions
- What is the common approach to handle unknown words during summary generation in large language models?
- How do large language models handle out-of-vocabulary words during the summarization process?
- What techniques are used by large language models to handle specialized terms or domain-specific language during summary generation?
- Can large language models learn to recognize and handle unknown words through unsupervised or semi-supervised learning?
- How do the different architectures of large language models, such as transformer or recurrent neural networks, handle unknown words during summarization?
- What is the impact of unknown words on the overall performance of a large language model during summary generation?
- Are there any specific techniques or strategies that can be used to improve the handling of unknown words by large language models during summarization?
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