A Survey on LLM Metacognition
omarsar0 · x · 2026-07-14
This is a comprehensive survey on LLM metacognition. The author treats several skills often discussed in isolation—confidence calibration, self-verification, knowing when to stop, and knowing what they don't know—as different facets of the same underlying problem.
The article organizes methods and benchmarks used to measure and evaluate these abilities, linking metacognition directly to model capability, reliability, and transparency. As agents take on longer task chains, a model's ability to monitor and regulate its own reasoning process will become a critical reliability metric.
Related event: Survey Maps LLM Metacognition and Roadmap(2 posts)→
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