2 papers
cs.MA2026
EAIR: Interaction Risks in Enterprise LLM Multi-Agent Systems
Yuchen Ma, Swadheen Shukla, Paulo Salem +5
LLM agents increasingly divide enterprise work across roles with different goals, authority, access, and information. Because each agent often sees only a local snapshot of the ent…
cs.MA2025
TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit
Paulo Salem, Robert Sim, Christopher Olsen +3
Recent advances in Large Language Models (LLM) have led to a new class of autonomous agents, renewing and expanding interest in the area. LLM-powered Multiagent Systems (MAS) have…