DARTree: Speculative Diffusion Decoding with Autoregressive Draft Trees
Speculative decoding losslessly accelerates autoregressive language models by verifying multiple draft tokens in parallel. Diffusion-based drafters further reduce proposal latency by predicting an entire token block in parallel, but their position-wise distributions are marginal rather than conditioned on tokens selected along each draft path. Existing recurrent correction incorporates causal information along a single draft chain, whereas diffusion-based tree construction broadens candidate coverage without carrying this correction along individual branches. We introduce DARTree, a training-f
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- FuzzySimilar title/name (fuzzy) · 59%stabilityai/stable-diffusion-xl-base-1.0 →
“Fuzzy title match (0.73): “DARTree: Speculative Diffusion Decoding with Autoregressive ” ≈ “stabilityai/stable-diffusion-xl-base-1.0””
- FuzzySimilar title/name (fuzzy) · 59%CompVis/stable-diffusion-v1-4 →
“Fuzzy title match (0.73): “DARTree: Speculative Diffusion Decoding with Autoregressive ” ≈ “CompVis/stable-diffusion-v1-4””
- FuzzySimilar title/name (fuzzy) · 59%stabilityai/stable-diffusion-3.5-large →
“Fuzzy title match (0.73): “DARTree: Speculative Diffusion Decoding with Autoregressive ” ≈ “stabilityai/stable-diffusion-3.5-large””
- PossiblePossibly related (embedding) · 51%[Research] JetSpec: Speculative Decoding with Parallel Tree Drafting Enables up to 9.64x Lossless LLM Inference Speedup with more than 1000TPS →
- PossiblePossibly related (embedding) · 51%DiffusionGemma: 4x faster text generation →
- FuzzyOverlapping authors or contributors · 62%sgl-project/sglang →
“Shared author/contributor keys: luo”
- LinkedLinked via arxiv author · 85%Tianyi Li →
“DARTree: Speculative Diffusion Decoding with Autoregressive Draft Trees”
- LinkedLinked via arxiv author · 85%Yaxin Luo →
“DARTree: Speculative Diffusion Decoding with Autoregressive Draft Trees”