Skip to content
Sagan

Paper

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

Unreadunread

AI summary

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.