JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting

arXiv:2606.18394 · cs.CL · Submitted 2026-06-16 · Read on arXiv

cs.CL

Submitted: 2026-06-16

Updated: 2026-10-03

Code: https://github.com/hao-ai-lab/JetSpec

Terminology

• Speculative Decoding — 34× in this paper · explained in 2 episodes
• Verification — 24× in this paper · explained in 2 episodes
• Distillation — 23× in this paper · explained in 2 episodes
• Benchmark — 16× in this paper · explained in 2 episodes
• Ablation — 14× in this paper · explained in 1 episode
• Alignment — 7× in this paper · explained in 1 episode
• Verifier — 7× in this paper · explained in 2 episodes
• Decode — 6× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Generalizability — 3× in this paper · explained in 6 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Block Diffusion — 2× in this paper · explained in 2 episodes
• Consistency Distillation — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Knowledge Distillation — 2× in this paper · explained in 11 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Thinking mode — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Reasoning — 1× in this paper · explained in 1 episode
• Alignment Methods — 1× in this paper · explained in 1 episode
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• KV cache — 1× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• On-Policy Distillation — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters
• Program Synthesis with Large Language Models
• Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
• Accelerating Large Language Model Decoding with Speculative Sampling
• DFlash: Block Diffusion for Flash Speculative Decoding
• Evaluating Large Language Models Trained on Code
• Training Verifiers to Solve Math Word Problems
• DeepSeek-V3 Technical Report
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Better & Faster Large Language Models via Multi-token Prediction
• Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs
• Fast and Accurate Causal Parallel Decoding using Jacobi Forcing
• LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
• EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees
• EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
• EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
• CD4LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models
• SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications
• d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
• Accelerating Speculative Decoding with Block Diffusion Draft Trees

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