Counterfactual Probing detects LLM hallucinations by measuring how much a model's confidence changes when a claim is altered to a plausible but incorrect variant, then hedges flagged statements with template-based mitigations.
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Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
Counterfactual Probing detects LLM hallucinations by measuring how much a model's confidence changes when a claim is altered to a plausible but incorrect variant, then hedges flagged statements with template-based mitigations.