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Related Questions
- What are some common metrics used to evaluate the quality of summaries generated by large language models?
- How do you account for the nuances of human evaluation when assessing the quality of summaries generated by large language models?
- What are some potential biases that can affect the evaluation of summaries generated by large language models?
- Can you explain the concept of semantic similarity in the context of evaluating summaries generated by large language models?
- What is the role of reference summaries in evaluating the quality of summaries generated by large language models?
- How do large language models handle out-of-vocabulary words and their impact on summary quality?
- What are some techniques for handling the evaluation of summaries across different languages and cultures?
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