most citedStatistical Inference for Covariate-Adjusted and Interpretable Generalized Factor Model with Application to Testing Fairness

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stat.AP2026

A Latent Variable Framework for Scaling Laws in Large Language Models

Peiyao Cai, Chengyu Cui, Felipe Maia Polo +6

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…