Python framework for high quality confidence estimation of deep neural networks, providing methods such as confidence calibration and ordinal ranking Evaluate high school math reasoning in LLMs with ...

[MICCAI 2025] The official implementation of the paper "Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification".

Currently, the vast majority of atom probe instruments in use are commercial systems with closed, proprietary software. This is limiting for many experiments where low-level access to machine control, ...

Abstract: The paper deals with the possibility of creating an application tool to make the digital calibration certificate, especially in terms of converting human-readable text to machine-readable ...