2 papers
cs.AI2026
Confidence Calibration in Large Language Models
Noam Michael, Daniel BenShushan, Jacob Bien +1
We investigate the calibration of large language models' (LLMs') confidence across diverse tasks. The results of our preregistered study show that the current crop of LLMs are, lik…
stat.ME2024
Semi-Supervised Learning of Noisy Mixture of Experts Models
Oh-Ran Kwon, Gourab Mukherjee, Jacob Bien
The mixture of experts (MoE) model is a versatile framework for predictive modeling that has gained renewed interest in the age of large language models. A collection of predictive…