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Lang-Zhang Liang

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#artificial intelligence Preprint Sep 2026

Waggle: Learning One Anonymous Local Law for Self-Organizing LLM Swarms

As LLM agents increasingly collaborate on complex tasks, how to organize their interactions becomes a central design question. Existing multi-agent systems typically learn or adapt explicit roles, hierarchies, routing policies, or communication topologies. We shift the learning target to a reusable local law that can b...

Ming-Xi Zou, Wei-Jie Zhu, Zhuo Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

From Attack Success to Attack Severity: Counterfactual Memory Attacks on LLM Agents

As LLM agents increasingly rely on persistent memory for long-horizon and personalized behavior, they can retain and reuse information across interactions, but this also creates a lasting channel through which malicious memory writes can influence future behavior. Persistent-memory attacks are typically evaluated by wh...

Ming-Xi Zou, Lang-Zhang Liang, Zhuo Wang et al. · 0 citations

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