SEMANTIC REFORMULATION ENTROPY FOR ROBUST HALLUCINATION DETECTION IN QA TASKS
Reliable question answering with large language models (LLMs) is challenged by hallucinations, fluent but factually incorrect outputs arising from epistemic uncertainty. Existing entropy-based semantic-level uncertainty estimation methods are limited by sampling noise and unstable clustering of vari…