PropUQ-MAS: Propagation-Aware Uncertainty Quantification for LLM Multi-Agent Systems
cs.MA, cs.CL
Submitted: 2026-08-22
Updated: 2026-09-01
Comments: Accepted to EMNLP 2026 (Main Conference)
Code: https://github.com/yaokunliu/PropUQ-MAS
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Position: Safety and Fairness in Agentic AI Depend on Interaction Topology, Not on Model Scale or Alignment
- Training Verifiers to Solve Math Word Problems
- UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
- Gemma 3 Technical Report
- Position: Towards a Responsible LLM-empowered Multi-Agent Systems
- Language Models (Mostly) Know What They Know
- Qwen3 Technical Report
- Cochain: Balancing Insufficient and Excessive Collaboration in LLM Agent Workflows
- Language Agents as Optimizable Graphs
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