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Related Questions
- What is mutual information and how does it relate to the informativeness of text generated by language models like Qwen?
- Can you explain how mutual information measures the dependence between variables, and how it applies to the context of Qwen-generated text?
- How does the informativeness of Qwen-generated text, as measured by mutual information, impact its usefulness in applications such as text summarization or question answering?
- What are some challenges in estimating mutual information for Qwen-generated text, and how can they be addressed?
- Can you provide examples of how mutual information has been used to evaluate the informativeness of text generated by language models, and what insights have been gained from these studies?
- How does the relationship between mutual information and informativeness of Qwen-generated text change when considering different types of language models or text generation tasks?
- What are some potential applications of mutual information in evaluating the informativeness of text generated by Qwen, and how can it be used to improve the model's performance?
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