AtomEval: Validity-Aware Atomic Evaluation of Adversarial Claim Rewriting in Fact Verification 事件

AtomEval: Validity-Aware Atomic Evaluation of Adversarial Claim Rewriting in Fact Verification arXiv:2604.07967v3 Announce Type: replace Abstract: Large language models (LLMs) can rewrite refuted claims to evade evidence-based fact verifiers, but conventional attack success rate (ASR) can be inflated when rewrites change, weaken, or correct the false proposition they are supposed to preserve. We introduce AtomEval, a validity-aware evaluation protocol for fixed-evidence adversarial claim rewrit