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Related Questions
- How do large language models represent implicit and explicit uncertainty in natural language inputs?
- Can you elaborate on how LLMs handle semantic uncertainty and how it's different from statistical uncertainty?
- How do LLMs account for contextual uncertainty, such as ambiguity and vague language in user queries?
- What is the impact of explicit uncertainty expressions like 'I think' or 'maybe' on the LLM's response?
- In what ways do LLMs handle self-uncertainty, i.e., when the model is uncertain about its own knowledge or limitations?
- Can you explain how implicit uncertainty, such as tone and sentiment, is taken into account in LLMs?
- How do LLMs balance the need to respond confidently with the need to acknowledge uncertainty and ambiguity in user queries?
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