A Distribution-Matching Perspective on LLM Training Algorithms.

arXiv:2610.33740v1 Announce Type: cross Abstract: In this work, we propose a unified framework for training algorithms across different stages of modern large language model development, based on the perspective of distribution matching. We show that a broad c