To Deceive is to Teach? Forging Perceptual Robustness via Adversarial Reinforcement Learning

arXiv:2602.22227v2 Announce Type: replace Abstract: Despite their impressive capabilities, Multimodal Large Language Models (MLLMs) exhibit perceptual fragility when confronted with visually complex scenes. This weakness stems from a reliance on finite training datasets, which...

🔗 Read more: https://arxiv.org/abs/2602.22227

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