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2 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Sep 1, 2026 · Artificial Intelligence

How Diffusion Language Models Deliver 5× Faster Agent Inference Than Token‑by‑Token Generation

A joint test by Diffusion Intelligence and Acrab shows that diffusion language models can speed up edge‑side agents by about five times compared to traditional autoregressive models, thanks to parallel token generation and global‑content framing, promising faster, more flexible AI experiences on devices.

AI accelerationagent inferenceautoregressive models
0 likes · 10 min read
How Diffusion Language Models Deliver 5× Faster Agent Inference Than Token‑by‑Token Generation
Machine Heart
Machine Heart
May 11, 2026 · Artificial Intelligence

How PRISM Enables Efficient Test‑Time Scaling for Discrete Diffusion Language Models

The article analyzes how the PRISM framework redesigns test‑time scaling for discrete diffusion language models by replacing costly Best‑of‑N sampling with a three‑stage hierarchical search, local branching via partial remasking, and self‑verified feedback, achieving large accuracy gains on math and code benchmarks while cutting inference compute by up to four‑fold.

Discrete DiffusionHierarchical SearchInference Optimization
0 likes · 11 min read
How PRISM Enables Efficient Test‑Time Scaling for Discrete Diffusion Language Models