Detect, measure, and reduce LLM hallucinations — factual grounding, citation verification, and automated detection pipelines.
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LLM hallucinations are confident but incorrect outputs. Types include factual errors, fabricated citations, and inconsistencies with provided context. Testing strategies: reference-based fact checking, self-consistency checks, retrieval-augmented verification, and hallucination-specific benchmarks (HaluEval, TruthfulQA).
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