A novel language model architecture enables scaling test-time computation through latent space reasoning using a recurrent block approach, achieving performance improvements equivalent to 50B parameters without specialized training data or large context windows.

https://arxiv.org/abs/2502.05171

#machinelearning #languagemodels #neuralarchitecture #modelscaling #reasoningsystems