Diagnosing judgment flip risk of large language models in fact verification under conflicting evidence
Large language model (LLM)‐based fact verifiers can encounter conflicting evidence in retrieval‐augmented pipelines, but their robustness to evidence composition remains underexamined. We introduce a flip‐rate diagnostic protocol that measures how often initially correct binary judgments become incorrect when the sup...