Gorilla Troops Optimization

SGTO-MAS: Secure Gorilla Troops Optimization for Multi-Agent LLM Systems

arXiv:2606.07940v1 Announce Type: new Abstract: Multi-agent large language model (LLM) systems offer strong capabilities for complex reasoning and decision-making, yet coordination across agents introduces error propagation, security risks, and inefficient use of resources. Existing methods often rely on heuristic, static strategies and lack a principled mechanism for balancing performance, security, and computational cost. This paper formulates multi-agent LLM coordination as a constrained...