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