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News/Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation
arxiv
PublishedJuly 18, 2026 at 4:00 AM
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Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation

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arXiv:2607.14256v1 Announce Type: new Abstract: 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

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