FACTOR

FACTOR: Risk-aware adaptive verification for factual long-form LLM generation

Researchers propose FACTOR (FACTuality-Oriented Risk-aware Verification), an inference-time framework that adapts verification effort based on claim-level hallucination risk rather than applying uniform verification to all claims. The system combines uncertainty estimation, adaptive language inference verification, and candidate re-ranking to focus resources on high-risk claims. Evaluated on the FactScore benchmark, FACTOR improves factuality while simultaneously reducing verification cost, with model-agnostic performance reported across ablation studies.