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Zenglin Xu

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#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
Conference Open access Sep 2026

Sprint or Delve: A Distribution-Aware Approach to Efficient Reasoning

The Powered Length Penalty (PLP) is proposed, an adaptive regularizer that penalizes redundancy in short sequences while gradually reducing penalties for longer sequences, preserving deep reasoning.

Ze-Hui Ling, De-Shu Chen, Hong-Wei Zhang et al. · 0 citations

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