Morning Edition · Friday, June 19, 2026Published at 6:56 AM EDT · New York
An arXiv analysis benchmarks the non-autoregressive alternative that has drawn growing interest as a path to faster, parallel generation.

A new paper, Diffusion Language Models: An Experimental Analysis, examines empirically one of the more credible challengers to the autoregressive approach that underpins essentially every production large language model (LLM) today. Autoreg…
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