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MLLMs can be tricked into missing 90% of harmful content simply by encoding it in images that humans can easily read.
You don't need a massive model to beat Gemini-2.5-Pro in real-world content moderation: Xuanwu VL-2B achieves superior recall on policy-violating text using only 2B parameters.