IntroConformal: Conformal Factuality Guarantees for Large Vision-Language Models via Introspective Signals

Large Vision-Language Models (LVLMs) have achieved strong multimodal performance, yet ensuring the factual correctness of generated content remains challenging. Existing methods that provide statistical guarantees on factuality typically rely on external verifiers or generation-time confidence signa