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When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study
Uncertainty quantification (UQ) methods are widely used for hallucination detection in large language models (LLMs) in closed-book settings where ground-truth evidence is unavailable at inference time. Prior work has proposed combining UQ signals via learned ensembles, but empirical investigations i
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