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Related Questions
- How do large language models handle unknown or infrequent words, and what are the potential consequences on summary quality?
- Can you explain the mechanisms by which out-of-vocabulary words affect the coherence and accuracy of summaries?
- What strategies do large language models employ to mitigate the impact of unknown words on summary quality, and how effective are these strategies?
- Are there any known trade-offs between handling out-of-vocabulary words and other language model capabilities, such as fluency or domain specificity?
- How can the evaluation of large language models be modified to assess their performance on out-of-vocabulary words and ensure that they produce accurate summaries?
- What opportunities exist for future research and development to improve the performance of large language models when encountering out-of-vocabulary words?
- Can large language models learn to induce or generate missing context words to compensate for out-of-vocabulary words, and what are the implications of this ability?
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