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cs.AI2026
Semantic Uncertainty-Guided Orchestration in Hierarchical Multi-Agent Systems
John Knowlton, Aritra Guha, Risto Miikkulainen
As large language model (LLM)-based multi-agent systems become increasingly capable, coordinating agents under uncertainty becomes a fundamental challenge. Existing orchestration s…
cs.AI2026
Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability
Harsh Raj, Niranjan Orkat, Suvrorup Mukherjee +3
This paper establishes a rigorous measurement science for AI agent reliability, providing a foundational framework for quantifying consistency under semantically preserving perturb…