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The Labeling Problem in Hallucination Detection Benchmarks: An Empirical Evaluation
In recent years, several methods for detecting when large language models (LLMs) hallucinate have been developed. These methods are often benchmarked with open-domain question answering (QA) datasets containing questions and corresponding short reference answers. First, an LLM is used to generate an
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