A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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This paper investigates whether large language models can accurately assess their own knowledge and uncertainty, proposing methods to improve self-awareness and calibration.
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This paper investigates confidence calibration in reasoning models, finding that they exhibit superior calibration compared to non-reasoning models.
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, et al.
A comprehensive survey of uncertainty estimation in deep neural networks, covering sources, modeling approaches, calibration, and practical applications.
Zheng Zhang
A flexible camera calibration technique using a planar pattern observed at multiple orientations, with closed-form solution and nonlinear refinement.