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The Labeling Problem in Hallucination Detection Benchmarks: An Empirical Evaluation

Jorma Valjakka, Juhani Kivimäki, Juha Mylläri, Jukka K. Nurminen · Oct 6, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 42% Moderate protocol signal Freshness: Hot Status: Ready
Automatic Metrics General
  • These methods are often benchmarked with open-domain question answering (QA) datasets containing questions and corresponding short reference answers.
  • We evaluate lexical similarity metrics, a reference-entailment NLI baseline, and seven LLM judges under controlled prompt variants as automated labelers.
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