Research

Revisiting the 16x Pretraining Compute Gap between Diffusion and Autoregressive Language Models

Single source1 source14 Oct 2026

arXiv:2610.17590v1 Announce Type: cross Abstract: Diffusion language models (DLMs) have attracted wide attention for their fast, parallel decoding, but they are believed to be far less efficient to train than autoregressive language models (ARMs): a widely cit

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.17590

← Back to all developments · Signals are a development reported by more than one source. See the methodology.