AI RESEARCH
A Latent Variable Framework for Scaling Laws in Large Language Models
arXiv CS.LG
•
ArXi:2512.06553v2 Announce Type: replace-cross We propose a statistical framework built on latent variable modeling for scaling laws of large language models (LLMs). Our work is motivated by the rapid emergence of numerous new LLM families with distinct architectures and