Lei Tan

UC-VLM: Consistency-Driven Learning for AI-Generated Image Detection with Vision-Language Large Models

UC-VLM is a unified multi-stage binary-supervised framework that consistently reuses the same authenticity labels for visual adaptation and label-conditioned text generation, while leveraging automatically optimized instructions to reduce prompt sensitivity without requiring human-written rationales or hand-crafted prompts.