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LLMs Should Express Uncertainty Explicitly

LLM transparency about confidence levels prevents costly user reliance on hallucinated answers by making model uncertainty explicit rather than hidden.

Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline

Research paper proposing that large language models should explicitly express uncertainty in their outputs. The work investigates methods for making LLM uncertainty and confidence levels transparent to users rather than presenting potentially incorrect information with unwarranted confidence.

Read original at arXiv CS.LG (Machine Learning)

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