Author

Xiao-Ming Zhang

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Preprint Aug 2026

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

Self-evolving large language model agents improve their capabilities by distilling interaction trajectories into persistent experiences. Yet this mechanism introduces a new safety risk: experiences that are benign in isolation may jointly weaken an agent's safety boundary when accumulated and reused across sessions. Ex...

Bingyu Yan, Xiao-Ming Zhang, Chaozhuo Li et al. · 0 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