MetaCogAgent equips multi-agent LLMs with metacognitive self-assessment, adaptive delegation, and capability learning to reach 82.4% accuracy on a 700-task benchmark while using fewer API calls than baselines.
Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
MetaCogAgent: A Metacognitive Multi-Agent LLM Framework with Self-Aware Task Delegation
MetaCogAgent equips multi-agent LLMs with metacognitive self-assessment, adaptive delegation, and capability learning to reach 82.4% accuracy on a 700-task benchmark while using fewer API calls than baselines.