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Author

Muye Zhang

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#artificial intelligence Preprint Aug 2026

EvoFlint: An Evolutionary Atlas of Multi-Turn LLM Vulnerabilities

This work argues that red-teaming is better framed as a search problem: discover, organize, and iteratively refine a diverse archive of attack strategies, producing a structured map of how a target model fails rather than a list of one-off successes.

Fei-Tong Qiao, Li-Ren Peng, Shi-Ming Ren et al. · 0 citations
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. · 0 citations

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