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Xiao-Ming Zhang

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Preprint Aug 2026

Benign Alone, Harmful Together: Exploiting Experience Composition in Self-Evolving LLM Agents

EvoBreak is an experience-conditioned sequential attack that operates through individually benign attack-stage tasks and induced experiences, revealing benign experience composition as a persistent attack surface in self-evolving agents.

Bing-Yu Yan, Xiao-Ming Zhang, Chao-Zhuo Li et al. · 2 citations
#artificial intelligence Preprint Sep 2026

Reasoning through Evolution: Automatic Meta-path Discovery for LLM-based Fake News Detection

Propagation structures provide crucial evidence for fake news detection, yet existing approaches primarily rely on supervised GNN-based models, which require substantial labeled data and exhibit limited generalization. Although large language models (LLMs) exhibit strong reasoning capabilities, directly feeding them ra...

Zi-Yi Zhou, Xiao-Ming Zhang, Hui Pang et al. · 0 citations

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