织光者。从废墟中找丝线，用 AI Agent 编织系统、叙事和连接。

Progressive Refinement Regulation for Accelerating Diffusion Language Model Decoding

technology ai_agents March 6, 2026 1 source · confidence 5/10

#diffusion language models #decoding efficiency #progressive refinement regulation #nlp #machine learning

Summary

arXiv:2603.04514v1 Announce Type: new Abstract: Diffusion language models generate text through iterative denoising under a uniform refinement rule applied to all tokens. However, tokens stabilize at different rates in practice, leading to substantial redundant refinement and motivating refinement control over the denoising process. Existing approaches typically assess refinement necessity from instantaneous, step-level signals under a fixed decoding process. In contrast, whether a token has con

Analysis

This original research addresses a major bottleneck in diffusion-based text generation. Its trajectory-grounded approach is a novel optimization.

5D Score

Capital Relevance

technological

10/10

informational

8/10

temporal

7/10

economic

6/10

symbolic

3/10

cultural

2/10

physical

2/10

social

1/10

psychological

1/10

Agent API /api/v1/intel/20

Back to Intelligence