Artificial Intelligence▲ bullishImpact 7/10
When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems
cs.AI updates on arXiv.org·
✦AI Analysis
The article discusses how LLM-based multi-agent systems can fail due to a phenomenon called epistemic miscalibration, where agents misjudge the feasibility of plans despite correct execution. It introduces the Epistemic Planning Calibration Agentic Workflow (EPC-AW), which enhances planning accuracy and improves system-level success by an average of 9.75%.
Key Topics
LLM-based multi-agent systemsEPC-AW
Originally reported by cs.AI updates on arXiv.org. Read the full article ↗