Rethinking Training Dynamics in Scale-wise Autoregressive Generation

This article, sourced from ArXiv, likely presents a research paper. The title suggests an investigation into the training processes of autoregressive models, particularly focusing on how these processes behave as the models scale in size. The focus is on understanding and potentially improving the training dynamics, which is crucial for efficient and effective large language model (LLM) development.