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Lowest Span Confidence: Zero-Shot Hallucination Detection from a Single LLM Response
Hallucinations in Large Language Models (LLMs), i.e., plausible but non-factual generations, pose a significant challenge to reliable deployment in high-stakes environments. However, many existing hallucination detectors require expensive repeated sampling for consistency checks or access to model-i
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