Jinke Ma

PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination

Large Language Models (LLMs) perform excellently in fake news detection tasks, but their outputs are often accompanied by hallucinations, i.e., generated content that is contradictory to facts. Previous studies have mostly mitigated hallucinations through prompt design. However, this paper reveals t