A conservative benchmark of contradiction detection and its limits in LLM hallucination evaluation
Hallucinations—fluent outputs containing incorrect or unsupported factual claims—remain an important obstacle to reliable use of large language models (LLMs). This study evaluates the scope and limits of HalluDetector, a reference-based detector that identifies contradiction-like evidence using lexical, numeric, unavai...