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ENTITY Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?

Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?

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    LLM Uncertainty Quantification: Blackbox vs. Whitebox Methods Compared

    Researchers are exploring methods for Large Language Models (LLMs) to quantify their own uncertainties, a capability crucial for applications like active learning and safety classification. Current approaches are divide…