2 papers
stat.ML2025
4+3 Phases of Compute-Optimal Neural Scaling Laws
Elliot Paquette, Courtney Paquette, Lechao Xiao +1
We consider the solvable neural scaling model with three parameters: data complexity, target complexity, and model-parameter-count. We use this neural scaling model to derive new p…
cs.CL2024
Training LLMs over Neurally Compressed Text
Brian Lester, Jaehoon Lee, Alex Alemi +4
In this paper, we explore the idea of training large language models (LLMs) over highly compressed text. While standard subword tokenizers compress text by a small factor, neural t…