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Related Questions
- What are the primary factors that contribute to hallucination in LLMs?
- How does fluency impact the likelihood of hallucination in LLMs?
- Can you provide examples of situations where hallucination and fluency are closely related in LLMs?
- What are some strategies to mitigate the impact of hallucination on fluency in LLMs?
- How does the training data quality affect the relationship between fluency and hallucination in LLMs?
- Can you explain the role of model size and architecture in shaping the relationship between hallucination and fluency?
- Are there any metrics or evaluation methods that can help assess the trade-off between fluency and hallucination in LLMs?
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