LLM-based multi-agent systems (LLM-MAS) use specialized agents that exchange messages to accomplish complex tasks. Their reliance on networked protocols, remote tools, and model endpoints exposes communication to message loss, delay, and context expiration. Because agents often exchange open-ended natural language, ano...
Jin-Hao Zhou, Xiao-Yue Zhang, Jiongchi Yu et al.· 0 citations
This work introduces AuxMark, a behavioral watermarking framework for tracing unauthorized agent distillation and dynamically inserts safe, non-essential auxiliary action into teacher trajectories, and stores the associated contexts as private evidence cards.
Yi-Qing Feng, Hao-Zhe Feng, Shu-Nan Shang et al.· 0 citations
STRATA, a role-aligned hierarchical system with cross-game self-learning for Red Alert, is presented and evaluated through the formation of experience cards, full-match comparisons before and after learning, and experience learning against AI opponents with different play styles.
Xin-He Tian, Xiao-Yue Zhang, Zi-You Zhang et al.· 0 citations
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