2 papers
cs.LG2025
Bayesian Mixture-of-Experts: Towards Making LLMs Know What They Don't Know
Albus Yizhuo Li
The Mixture-of-Experts (MoE) architecture has enabled the creation of massive yet efficient Large Language Models (LLMs). However, the standard deterministic routing mechanism pres…
cs.LG2025
Kryptonite-N: Machine Learning Strikes Back
Albus Li, Nathan Bailey, Will Sumerfield +1
Quinn et al propose challenge datasets in their work called ``Kryptonite-N". These datasets aim to counter the universal function approximation argument of machine learning, breaki…