Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding? | ScienceToStartup | ScienceToStartup

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References (38)

[1]

DFlash: Block Diffusion for Flash Speculative Decoding

2026Jian Chen, Yesheng Liang et al.

[2]

From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models

2025Hengyu Fu, Baihe Huang et al.

[3]

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs

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Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?

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References (38)

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"Optimize parallel token generation in diffusion language models using a data-centric, non-autoregressive approach."

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Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?

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References (38)

Founder's Pitch

"Optimize parallel token generation in diffusion language models using a data-centric, non-autoregressive approach."

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