Preprint
Jul 2026
Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation
Multimodal Large Language Models (MLLMs) are increasingly deployed for nuanced content safety and moderation tasks, yet they remain vulnerable to adversarial attacks and out-of-distribution edge cases. Traditional active learning and manual annotation fail to scale against the complexity and volume of novel multimodal...
Genglin Liu, Muye Zhang, Krishnamurthy Viswanathan et al.
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