When Parallel Drafter Meets Parallel Speculative Decoding

arXiv:2609.27396 · cs.CL · Submitted 2026-09-23 · Read on arXiv

cs.CL

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/tatsu-lab/stanford_alpaca

Terminology

• Verification — 56× in this paper · explained in 2 episodes
• Speculative Decoding — 25× in this paper · explained in 2 episodes
• Benchmark — 16× in this paper · explained in 2 episodes
• Verifier — 4× in this paper · explained in 2 episodes
• Anchor Tokens — 3× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Block Diffusion — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Program Synthesis with Large Language Models
• Accelerating Large Language Model Decoding with Speculative Sampling
• DFlash: Block Diffusion for Flash Speculative Decoding
• Evaluating Large Language Models Trained on Code
• DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation
• Training Verifiers to Solve Math Word Problems
• Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding
• Speculative Speculative Decoding
• DART: Diffusion-Inspired Speculative Decoding for Fast LLM Inference
• The Perfect Blend: Redefining RLHF with Mixture of Judges
• Qwen3 Technical Report

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