AI RESEARCH
The Dunning-Kruger Effect in Large Language Models: An Empirical Study of Confidence Calibration
arXiv CS.AI
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ArXi:2603.09985v1 Announce Type: cross Large language models (LLMs) have nstrated remarkable capabilities across diverse tasks, yet their ability to accurately assess their own confidence remains poorly understood. We present an empirical study investigating whether LLMs exhibit patterns reminiscent of the Dunning-Kruger effect -- a cognitive bias where individuals with limited competence tend to overestimate their abilities.