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Even state-of-the-art AI-generated image detectors struggle when images are cropped, resized, or compressed, revealing a critical gap in real-world robustness.
MLLMs can now detect tampered text in images with significantly improved accuracy and reduced reliance on expensive annotations, thanks to a novel reinforcement learning approach.
