Continuous Autoregressive Language Models: Revolutionizing LLM Training and Text Generation Efficiency

“ A plain-language tour of “Continuous Autoregressive Language Models” (arXiv 2510.27688) for junior-college-level readers who want cleaner training bills and faster text generation—without chasing hype. 1. Why another language-model paper matters Large Language Models (LLMs) write like angels but burn cash like heaters. The root cause is no secret: they produce text token by token. Every new word means another forward pass through billions of parameters and an attention matrix that grows quadratically. Long prompt? Long bill. CALM (Continuous Autoregressive Language Models) attacks the length problem instead of the width problem. Rather than predicting the next word piece, it predicts …