New Method Reveals Hidden Biases in AI Model Comparisons
Researchers developed a new way to fairly compare AI models by controlling for accuracy. This helps avoid misleading conclusions when evaluating different systems.
#calibration
Calibration
2 stories tagged Calibration
Self-Calibrating LLMs via Test-Time Discriminative Distillation
Researchers propose a method to improve the calibration of large language models (LLMs) without labeled data. The technique leverages the models' internal signals to reduce overconfidence in answers.