In this paper, we use Pok\'emon Battles as a case study to investigate how to improve the performance of LLM-based agents in tasks that require opponent-aware planning without additional fine-tuning. We propose Long/Short-Term Knowledge Augmented Generation (LSTKAG), a mechanism that enables LLM-based agents to leverag...
Dong-Yin Zhuo, Feng Pan, Nenad Petrovic et al.· 0 citations
This paper distill four design principles for scalable MAS architectures from a structured analysis of prior work: simplicity, elastic feedback, sequential workflows with optional loops, and summary-based communication, and evaluates four configurations of increasing complexity on a standardized benchmark of terminal-b...
Linus Sander, Feng Pan, Vahid Zolfaghari et al.· arXiv.org· 0 citations
CyberLLM is presented, a multi-agent, LLM-orchestrated framework that autonomously detects vulnerabilities and executes remediations under a formal, runtime safety guard, and indicates that LLM agents can perform useful autonomous cyber-defense when wrapped in a deterministic, auditable safety envelope.
Nenad Petrovic, Oussama Jeddou, Feres Ben Fraj et al.· 0 citations
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