UMAS: System-Level Uncertainty Quantification for Multi-Agent LLM Systems
cs.MA, cs.AI, cs.CL, cs.LG
Submitted: 2026-10-08
Updated: 2026-10-08
Terminology
Related papers
- Highway Congestion Reduction through Reinforcement Learning Based Eulerian Headway Control
- Auditable and Deployable Multi-Agent Motion Planning via Posetal Games from Legal Guidelines
- ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents
- You Only Align Once: Propagating Cooperative Behaviors in Multi-Agent Systems through Seed Agents
- Deny Without Disabling: Authorization-Paired Evaluation and Control for Multi-Agent Systems
- MA-SAPO: Multi-Agent Reasoning for Score-Aware Prompt Optimization