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LLM Speculative Decoding in 2026: A systems co-design perspective covering four connected aspects: Draft Source, Draft Geometry, Verification Fidelity, and Runtime Execution.

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📚 Awesome Speculative Decoding

Companion Method Profiles for a systems co-design survey of speculative decoding.

Awesome Method Profiles Survey Paper Method Profiles Explorer

Our survey organizes speculative decoding from a systems co-design perspective across four connected aspects: Draft Source, Draft Geometry, Verification Fidelity, and Runtime Execution. This companion repository provides Method Profiles for all 312 included works, including category assignments, paper and code links, a complete chronological table, and an interactive explorer for filtering, comparing, sharing, and exporting results.

Help us keep this resource accurate and up to date. If you spot an incorrect taxonomy assignment or know of a relevant new work that should be included, please open an issue. When possible, include the paper link and a brief explanation of the suggested correction or addition.

📰 News

📝 Citation

If you find this survey or repository useful, please consider citing our survey:

From Draft-Then-Verify to Systems Co-Design: A Survey of Speculative Decoding for Autoregressive Large Language Models

@article{zhao2026draftthenverify,
  title = {From {Draft-Then-Verify} to {Systems Co-Design}: A Survey of Speculative Decoding for Autoregressive Large Language Models},
  author = {Zhao, Kaikai and Liu, Zhaoxiang and Jiang, Che and Chen, Ping and Wang, Xin and Tian, Kai and Wang, Ning and Wang, Yuru and Shen, Yi and Yan, Jiangze and Hua, Minjie and Zhang, Wenjing and Wang, Xiang and Wang, Kai and Zhang, Kaiyan and Sun, Youbang and Ding, Ning and Lian, Shiguo and Zhou, Bowen},
  journal = {IEEE Access},
  year = {2026},
  volume = {14},
  pages = {153987--154013},
  doi = {10.1109/ACCESS.2026.3739598},
  url = {https://doi.org/10.1109/ACCESS.2026.3739598}
}

🔎 Interactive Method Profiles Explorer

Open Explorer →

Filter profiles by year, taxonomy category, contribution role, or resource availability. Compare methods, inspect the current landscape, share a filtered view, or export it as CSV. Try the one-click 2026 + Tree view.

📦 Fixed snapshot and downloads

The ZIP preserves the complete submitted supplementary package. method_profiles_snapshot/ contains 312 profiles, classification evidence, category definitions, the matching manuscript, and a standalone script for reproducing the counts. supplement_source/ contains the readable supplement and its LaTeX source. The package records 1,459 assignments (1,057 core and 402 inherited) and 83 unassigned work–axis combinations.

The original corpus was frozen on 20 July 2026. The 19 September 2026 snapshot incorporates six restored works, two additions, and documented corrections; its date is not a new literature-search cutoff. The current explorer matches this snapshot. Future website updates will be recorded in Git; this versioned download will remain unchanged. For reproducibility, identify the snapshot date and checksum.

After extracting the ZIP, run python3 reproduce_counts.py --check from method_profiles_snapshot/ (Python 3.10 or later). The script checks all seven generated result tables. Category-specific source locators are included where available; empty evidence fields do not imply a separately documented primary-source locator for every assignment.

SHA-256 — Supplementary_Material.zip:

7890d986b74de26e526bc56bdd52977e0d47669c4cbb405dbd7fa42d74cda15c

🧭 Taxonomy

Systems co-design taxonomy tree from Figure 2 of the final manuscript

Figure 2 from the final manuscript, showing representative core assignments across 19 categories. Reference numbers and section labels follow the published paper. View the full-size vector image.

📚 Method Profiles

Updated 2026-09-28 · 312 profiles · Download CSV.

Each profile records documented supported configurations or direct analysis across the four aspects. Multiple labels within a work may describe different modes; their co-occurrence does not imply that every combination is supported by one mode. Paper links identify the source work. [core] marks a category introduced, substantively changed, or directly studied; [inherited] marks a category explicitly adopted as a substrate. The symbol -- means no supported assignment on that axis; it is not a negative category label.

Work Draft
Source
Draft
Geometry
Verification
Fidelity
Runtime
Execution
Links                 
DSpark · 2026‑07
DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation
Semi-Autoregressive
External Drafter [core]
Block [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Performance Analysis [core]
Paper
GitHub Stars
AdaPLD · 2026‑06
AdaPLD: Adaptive Retrieval and Reuse for Efficient Model-Free Speculative Decoding
Context-Derived
Nonparametric Source [core]
Tree [core] Distribution-Level
Exactness [inherited]
Speculation Control [inherited]
Serving Systems [inherited]
Paper
BudgetDraft · 2026‑06
BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative Decoding
Autoregressive
External Drafter [core]
Chain [core] Token-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Paper
CADDTree · 2026‑06
Cost-Aware Diffusion Draft Trees for Speculative Decoding
Non-Autoregressive
External Drafter [inherited]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [core]
Performance Analysis [core]
Paper
D2SD · 2026‑06
D^2SD: Accelerating Speculative Decoding with Dual Diffusion Draft Models
Non-Autoregressive
External Drafter [core]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [core]
Serving Systems [inherited]
Paper
DFlare · 2026‑06
DFlare: Scaling Up Draft Capacity for Block Diffusion Speculative Decoding
Non-Autoregressive
External Drafter [core]
Block [core] Token-Level
Exactness [inherited]
Speculation Control [inherited]
Serving Systems [inherited]
Paper
GitHub Stars
Dynamic Exits · 2026‑06
Experience-Driven Dynamic Exits for LLMs with Reinforcement Learning
Target-Path
Execution [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
EfficientRollout · 2026‑06
EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
Target-Path
Execution [core]
Chain [inherited] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
Hybrid Verified Decoding · 2026‑06
Hybrid Verified Decoding: Learning to Allocate Verification in Speculative Decoding
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [inherited]
Chain [inherited] Token-Level
Exactness [inherited]
Speculation Control [core] Paper
JetSpec · 2026‑06
JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting
Semi-Autoregressive
External Drafter [core]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
SENSE · 2026‑06
SENSE: Semantic Embedding Navigation with Soft-gated Evaluation for Retrieval-based Speculative Decoding
Context-Derived
Nonparametric Source [core]
Collection [core] Relaxed
Acceptance [core]
-- Paper
TAPS-Tree · 2026‑06
TAPS: Target-Aware Prefix Tree Selection for Diffusion-Drafted Speculative Decoding
Non-Autoregressive
External Drafter [inherited]
Tree [core] Token-Level
Exactness [inherited]
Speculation Control [core] Paper
Project
TreeFlash · 2026‑06
TreeFlash: Parallel AR-Approximation for Faster Speculative Decoding
Non-Autoregressive
External Drafter [core]
Tree [core] Token-Level
Exactness [inherited]
Speculation Control [inherited]
Serving Systems [inherited]
Paper
GitHub Stars
VIA-SD · 2026‑06
VIA-SD: Verification via Intra-Model Routing for Speculative Decoding
Autoregressive
External Drafter [core]
Chain [core] Relaxed
Acceptance [core]
Speculation Control [core] Paper
Project
WhiFlash · 2026‑06
WhiFlash: Accelerating Speculative Decoding with Token-Level Cross-Paradigm Routing
Non-Autoregressive
External Drafter [inherited]
Proposal-State
Modeling [inherited]
Block [inherited]
Tree [inherited]
Token-Level
Exactness [inherited]
Speculation Control [core] Paper
Acceptance-Guided SD · 2026‑05
Acceptance-Guided Adaptive Speculative Decoding for Efficient Large Language Model Inference
Proposal-State
Modeling [inherited]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [core] Paper
GitHub Stars
Attention Drift · 2026‑05
Attention Drift: What Autoregressive Speculative Decoding Models Learn
Proposal-State
Modeling [core]
Chain [inherited] Distribution-Level
Exactness [inherited]
Performance Analysis [core] Paper
GitHub Stars
Bastion · 2026‑05
Bastion: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting
Non-Autoregressive
External Drafter [inherited]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [core]
Performance Analysis [core]
Paper
GitHub Stars
Cassandra · 2026‑05
Cassandra: Enabling Reasoning LLMs at Edge via Self-Speculative Decoding
Target-Path
Execution [core]
Chain [core] Token-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Paper
CATS · 2026‑05
CATS: Cascaded Adaptive Tree Speculation for Memory-Limited LLM Inference Acceleration
Target-Path
Execution [core]
Tree [core] Token-Level
Exactness [inherited]
Relaxed
Acceptance [inherited]
Serving Systems [core] Paper
GitHub Stars
Component-Aware SD · 2026‑05
Component-Aware Self-Speculative Decoding in Hybrid Language Models
Target-Path
Execution [core]
Chain [core] Distribution-Level
Exactness [core]
Token-Level
Exactness [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
CoSpec · 2026‑05
Beyond the Target: From Imitation to Collaboration in Speculative Decoding
Autoregressive
External Drafter [inherited]
Chain [inherited] Relaxed
Acceptance [core]
-- Paper
Cross-Language SD · 2026‑05
Speculative Decoding Across Languages
Autoregressive
External Drafter [core]
Context-Derived
Nonparametric Source [core]
Chain [core] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
Domino · 2026‑05
Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding
Semi-Autoregressive
External Drafter [core]
Block [core] Token-Level
Exactness [inherited]
Serving Systems [core] Paper
GitHub Stars
EVICT · 2026‑05
Making Every Verified Token Count: Adaptive Verification for MoE Speculative Decoding
Proposal-State
Modeling [inherited]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Serving Systems [core]
Performance Analysis [core]
Paper
EvoSpec · 2026‑05
EvoSpec: Evolving Speculative Decoding via Real-Time Vocabulary and Parameter Adaptation
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [core]
Tree [core]
Chain [core]
Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
FlexDraft · 2026‑05
FlexDraft: Flexible Speculative Decoding via Attention Tuning and Bonus-Guided Calibration
Target-Path
Execution [core]
Block [core] Distribution-Level
Exactness [inherited]
Speculation Control [core] Paper
Future Validity · 2026‑05
Future Validity is the Missing Statistic: From Impossibility to $Φ$-Estimation for Grammar-Faithful Speculative Decoding
-- Chain [core] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
Graft · 2026‑05
Draft Less, Retrieve More: Hybrid Tree Construction for Speculative Decoding
Non-Autoregressive
External Drafter [inherited]
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [core]
Tree [core] Distribution-Level
Exactness [inherited]
Speculation Control [core] Paper
Latency Model · 2026‑05
An Interpretable Latency Model for Speculative Decoding in LLM Serving
Proposal-State
Modeling [inherited]
Chain [inherited] -- Performance Analysis [core] Paper
Mistletoe · 2026‑05
Mistletoe: Stealthy Acceleration-Collapse Attacks on Speculative Decoding
Target-Feature
Readout [inherited]
Proposal-State
Modeling [inherited]
Tree [core]
Collection [core]
Relaxed
Acceptance [core]
Performance Analysis [core] Paper
NanoSpec · 2026‑05
NanoSpec: Accelerating Speculative Decoding using Minimalist In-Context Vocabularies
Proposal-State
Modeling [inherited]
Tree [inherited] Distribution-Level
Exactness [inherited]
Performance Analysis [core] Paper
PARD-2 · 2026‑05
PARD-2: Target-Aligned Parallel Draft Model for Dual-Mode Speculative Decoding
Non-Autoregressive
External Drafter [core]
Block [core] Token-Level
Exactness [core]
-- Paper
GitHub Stars
PARSE · 2026‑05
Parallel Prefix Verification for Speculative Generation
Autoregressive
External Drafter [inherited]
Proposal-State
Modeling [inherited]
Chain [core]
Collection [core]
Relaxed
Acceptance [core]
State Management [core]
Serving Systems [core]
Paper
PELM · 2026‑05
PELM: Power Efficient On-Device LLM Inference with Speculative Decoding and Dynamic Voltage Frequency Scaling
Target-Path
Execution [core]
Chain [core] Relaxed
Acceptance [core]
Speculation Control [core]
Serving Systems [core]
Performance Analysis [core]
Paper
PipeSD · 2026‑05
PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
Serving Systems [core] Paper
GitHub Stars
PPOW · 2026‑05
Performance-Driven Policy Optimization for Speculative Decoding with Adaptive Windowing
Proposal-State
Modeling [inherited]
Tree [inherited] Distribution-Level
Exactness [inherited]
Speculation Control [core] Paper
RAC · 2026‑05
RAC: Request-adaptive Configuration for Efficient Speculative Decoding
Autoregressive
External Drafter [core]
Chain [core] Token-Level
Exactness [core]
Speculation Control [core]
Performance Analysis [core]
Paper
GitHub Stars
RTP-LLM · 2026‑05
RTP-LLM: High-Performance Alibaba LLM Inference Engine
Autoregressive
External Drafter [inherited]
Target-Feature
Readout [inherited]
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [inherited]
Chain [inherited]
Tree [inherited]
Distribution-Level
Exactness [inherited]
State Management [core]
Serving Systems [core]
Paper
GitHub Stars
SlimSpec · 2026‑05
SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding
Proposal-State
Modeling [inherited]
Tree [inherited] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Performance Analysis [core] Paper
SNLP (SSD mode) · 2026‑05
SNLP: Layer-Parallel Inference via Structured Newton Corrections
Target-Path
Execution [core]
Chain [inherited] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Performance Analysis [core] Paper
GitHub Stars
SPD · 2026‑05
Speculative Pipeline Decoding: Higher-Accruacy and Zero-Bubble Speculation via Pipeline Parallelism
Proposal-State
Modeling [core]
Chain [inherited] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Serving Systems [core] Paper
SpecBlock · 2026‑05
SpecBlock: Block-Iterative Speculative Decoding with Dynamic Tree Drafting
Semi-Autoregressive
External Drafter [core]
Tree [core] Token-Level
Exactness [inherited]
Speculation Control [core] Paper
SpecKV · 2026‑05
SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection
Autoregressive
External Drafter [core]
Chain [core] Token-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
SPECTRE · 2026‑05
SPECTRE: Hybrid Ordinary-Parallel Speculative Serving for Resource-Efficient LLM Inference
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
State Management [core]
Serving Systems [core]
Paper
GitHub Stars
UniVer · 2026‑05
UniVer: A Unified Perspective for Multi-step and Multi-draft Speculative Decoding
Proposal-State
Modeling [inherited]
Tree [core]
Collection [core]
Distribution-Level
Exactness [core]
-- Paper
A-IO (SD/PLD study) · 2026‑04
A-IO: Adaptive Inference Orchestration for Memory-Bound NPUs
Context-Derived
Nonparametric Source [inherited]
Autoregressive
External Drafter [inherited]
Chain [inherited] -- Speculation Control [core]
Performance Analysis [core]
Paper
Acceptance · 2026‑04
Acceptance Dynamics Across Cognitive Domains in Speculative Decoding
Autoregressive
External Drafter [core]
Tree [core] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
GitHub Stars
Adaptive Hybrid SD · 2026‑04
Adaptive hybrid speculative decoding for accelerating large language model inference
Autoregressive
External Drafter [core]
Chain [core]
Block [core]
Relaxed
Acceptance [core]
State Management [core]
Speculation Control [core]
Paper
AdaServe · 2026‑04
AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding
Autoregressive
External Drafter [inherited]
Tree [core] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Performance Analysis [core]
Paper
GitHub Stars
AHASD · 2026‑04
AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices
Autoregressive
External Drafter [inherited]
Chain [inherited] -- Serving Systems [core] Paper
Area- · 2026‑04
Area- and Utilization-Efficient LLM Accelerator With Fused Speculative Decoding for Edge-Side Inference
Target-Path
Execution [core]
Chain [core] Token-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Paper
Cactus · 2026‑04
Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling
Autoregressive
External Drafter [inherited]
Chain [inherited] Bounded
Approximation [core]
Speculation Control [inherited] Paper
GitHub Stars
Calibrated · 2026‑04
Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference
Autoregressive
External Drafter [core]
Context-Derived
Nonparametric Source [core]
Chain [core] Relaxed
Acceptance [core]
Speculation Control [core] Paper
Commodity-GPU SD · 2026‑04
Memory-Efficient Speculative Decoding for Large Language Model Inference on Commodity GPUs
Autoregressive
External Drafter [core]
Chain [inherited] Token-Level
Exactness [inherited]
Serving Systems [core]
Performance Analysis [core]
Paper
ConfLayers · 2026‑04
ConfLayers: Adaptive Confidence-based Layer Skipping for Self-Speculative Decoding
Target-Path
Execution [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
GitHub Stars
Cross-Family · 2026‑04
Cross-Family Speculative Decoding for Polish Language Models on AppleSilicon: An Empirical Evaluation of Bielik11B with UAG-Extended MLX-LM
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
GitHub Stars
DDTree · 2026‑04
Accelerating Speculative Decoding with Block Diffusion Draft Trees
Non-Autoregressive
External Drafter [inherited]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [inherited]
Serving Systems [inherited]
Paper
GitHub Stars
DIVERSED · 2026‑04
DIVERSED: Relaxed Speculative Decoding via Dynamic Ensemble Verification
Autoregressive
External Drafter [core]
Chain [core] Relaxed
Acceptance [core]
-- Paper
GitHub Stars
Dynamic Multi-Path SD · 2026‑04
Optimizing speculative decoding via dynamic multi-path and dual-stream networks
Autoregressive
External Drafter [core]
Collection [core] Relaxed
Acceptance [core]
Speculation Control [core] Paper
ECHO · 2026‑04
ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios
Proposal-State
Modeling [inherited]
Tree [core] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Serving Systems [core]
Paper
ELMoE-3D · 2026‑04
ELMoE-3D: Leveraging Intrinsic Elasticity of MoE for Hybrid-Bonding-Enabled Self-Speculative Decoding in On-Premises Serving
Target-Path
Execution [core]
Chain [inherited] Distribution-Level
Exactness [inherited]
Serving Systems [core] Paper
FPGA Tree SD · 2026‑04
Boosting the Performance of Tree-Based Speculative Decoding of LLMs on FPGAs
Proposal-State
Modeling [inherited]
Tree [core] Token-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Paper
Multi-LoRA Edge SD · 2026‑04
Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM
Target-Path
Execution [core]
Tree [core] Token-Level
Exactness [inherited]
Speculation Control [core]
Serving Systems [core]
Paper
On-Device MoE SD · 2026‑04
Self-Speculative Decoding for On-device MoE Acceleration
Target-Path
Execution [core]
Chain [core] Relaxed
Acceptance [core]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Paper
RACER · 2026‑04
RACER: Retrieval-Augmented Contextual Rapid Speculative Decoding
Context-Derived
Nonparametric Source [core]
Tree [core] Token-Level
Exactness [inherited]
Speculation Control [inherited] Paper
GitHub Stars
RL Rollout SD · 2026‑04
Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding
Target-Feature
Readout [inherited]
Proposal-State
Modeling [inherited]
Chain [inherited]
Tree [inherited]
Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
SMART · 2026‑04
SMART: When is it Actually Worth Expanding a Speculative Tree?
Proposal-State
Modeling [inherited]
Tree [core] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Performance Analysis [core]
Paper
SpecGuard · 2026‑04
From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step Reasoning
Autoregressive
External Drafter [inherited]
Collection [core] Relaxed
Acceptance [core]
Speculation Control [core] Paper
SpecTr-GBV · 2026‑04
SpecTr-GBV: Multi-Draft Block Verification Accelerating Speculative Decoding
Autoregressive
External Drafter [inherited]
Block [core]
Collection [core]
Distribution-Level
Exactness [core]
Speculation Control [inherited] Paper
SPEED-Bench · 2026‑04
SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding
Autoregressive
External Drafter [inherited]
Target-Feature
Readout [inherited]
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [inherited]
Chain [inherited]
Tree [inherited]
-- Performance Analysis [core] Paper
When Hidden States Drift · 2026‑04
When Hidden States Drift: Can KV Caches Rescue Long-Range Speculative Decoding?
Proposal-State
Modeling [core]
Tree [inherited] Distribution-Level
Exactness [inherited]
State Management [core]
Performance Analysis [core]
Paper
AdaSpec-Multilingual · 2026‑03
AdaSpec: Adaptive Multilingual Speculative Decoding with Self-Synthesized Language-Aware Training and Vocabulary Simplification
Autoregressive
External Drafter [core]
Context-Derived
Nonparametric Source [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
ConFu · 2026‑03
ConFu: Contemplate the Future for Better Speculative Sampling
Proposal-State
Modeling [core]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Serving Systems [inherited] Paper
DFVG · 2026‑03
DFVG: A Heterogeneous Architecture for Speculative Decoding with Draft-on-FPGA and Verify-on-GPU
Autoregressive
External Drafter [inherited]
Tree [core] -- Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
Project
Distributed Adaptive SD · 2026‑03
Distributed Adaptive Speculative Decoding: Accelerating Large Language Model Inference With Context-Aware Draft Selection
Autoregressive
External Drafter [core]
Chain [inherited] Token-Level
Exactness [inherited]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Paper
EAGLE-Pangu · 2026‑03
EAGLE-Pangu: Accelerator-Safe Tree Speculative Decoding on Ascend NPUs
Proposal-State
Modeling [inherited]
Tree [inherited] Token-Level
Exactness [inherited]
State Management [core]
Serving Systems [core]
Paper
Empirical Study · 2026‑03
An Empirical Study of Speculative Decoding for Small Language Models
Autoregressive
External Drafter [inherited]
Target-Path
Execution [inherited]
Target-Feature
Readout [inherited]
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [inherited]
Chain [inherited]
Tree [inherited]
Collection [inherited]
-- Performance Analysis [core] Paper
Learning to Draft · 2026‑03
Learning to Draft: Adaptive Speculative Decoding with Reinforcement Learning
Proposal-State
Modeling [inherited]
Tree [core] Token-Level
Exactness [inherited]
Speculation Control [core] Paper
GitHub Stars
Lookahead Gate · 2026‑03
Look Before You Leap: A Lookahead Reasoning Quality Gate for Speculative Decoding
Target-Path
Execution [inherited]
Collection [core] Relaxed
Acceptance [core]
Speculation Control [core] Paper
MineDraft · 2026‑03
MineDraft: A Framework for Batch Parallel Speculative Decoding
Autoregressive
External Drafter [inherited]
Proposal-State
Modeling [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Paper
Quasar · 2026‑03
Quasar: Quantized Self-Speculative Acceleration for Rapid Inference via Memory-Efficient Verification
Context-Derived
Nonparametric Source [inherited]
Chain [core] Relaxed
Acceptance [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
Re-SpS · 2026‑03
Re-SpS: A Reinforcement Learning Approach to Speculative Sampling
Proposal-State
Modeling [inherited]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
GitHub Stars
SpecForge · 2026‑03
SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
Proposal-State
Modeling [inherited]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
GitHub Stars
Speculative-Speculative · 2026‑03
Speculative Speculative Decoding
Autoregressive
External Drafter [inherited]
Chain [inherited] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
TAPS-Distribution · 2026‑03
TAPS: Task Aware Proposal Distributions for Speculative Sampling
Proposal-State
Modeling [inherited]
Collection [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [inherited] Paper
GitHub Stars
Project
Project
VocabTrim · 2026‑03
Balancing Coverage and Draft Latency in Vocabulary Trimming for Faster Speculative Decoding
Proposal-State
Modeling [inherited]
Tree [inherited] Distribution-Level
Exactness [inherited]
Performance Analysis [core] Paper
GitHub Stars
Compiler-Assisted SD · 2026‑02
Compiler-Assisted Speculative Sampling for Accelerated LLM Inference on Heterogeneous Edge Devices
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Serving Systems [core]
Performance Analysis [core]
Paper
DFlash · 2026‑02
DFlash: Block Diffusion for Flash Speculative Decoding
Non-Autoregressive
External Drafter [core]
Block [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [inherited]
Serving Systems [inherited]
Paper
GitHub Stars
Energy Benchmarking · 2026‑02
Benchmarking the Energy Savings with Speculative Decoding Strategies
Autoregressive
External Drafter [inherited]
Target-Feature
Readout [inherited]
Proposal-State
Modeling [inherited]
Chain [inherited]
Tree [inherited]
-- Performance Analysis [core] Paper
GBV · 2026‑02
Greedy Multi-Path Block Verification for Faster Decoding in Speculative Sampling
Autoregressive
External Drafter [inherited]
Block [core]
Collection [core]
Distribution-Level
Exactness [core]
Speculation Control [inherited] Paper
KnapSpec · 2026‑02
KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack Problem
Target-Path
Execution [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
P-EAGLE · 2026‑02
P-EAGLE: Parallel-Drafting EAGLE with Scalable Training
Proposal-State
Modeling [core]
Block [core] Distribution-Level
Exactness [inherited]
Serving Systems [core] Paper
PRISM · 2026‑02
PRISM: Parametrically Refactoring Inference for Speculative Sampling Draft Models
Proposal-State
Modeling [core]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
SDFP · 2026‑02
SDFP: Speculative Decoding with FIT-Pruned Models for Training-Free and Plug-and-Play LLM Acceleration
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
-- Paper
SemanticSpec · 2026‑02
Beyond Tokens: Semantic-Aware Speculative Decoding for Efficient Inference by Probing Internal States
Autoregressive
External Drafter [inherited]
Chain [core] Relaxed
Acceptance [core]
-- Paper
SpecVocab · 2026‑02
Speculative Decoding with a Speculative Vocabulary
Proposal-State
Modeling [inherited]
Tree [inherited] Distribution-Level
Exactness [inherited]
Performance Analysis [core] Paper
Split Lookahead · 2026‑02
Privacy-Aware Split Inference with Speculative Decoding for Large Language Models over Wide-Area Networks
Context-Derived
Nonparametric Source [core]
Chain [core] Token-Level
Exactness [inherited]
State Management [core]
Serving Systems [core]
Paper
TransKV · 2026‑02
Transactional KV Caching for Speculative Decoding under Paged KV Memory
-- Chain [inherited] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
State Management [core]
Serving Systems [core]
Paper
Vegas · 2026‑02
Vegas: Self-Speculative Decoding with Verification-Guided Sparse Attention
Target-Path
Execution [core]
Chain [core] Distribution-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
VSD · 2026‑02
Variational Speculative Decoding: Rethinking Draft Training from Token Likelihood to Sequence Acceptance
Proposal-State
Modeling [inherited]
Tree [inherited] Distribution-Level
Exactness [inherited]
Speculation Control [inherited] Paper
Watermark Trade-off · 2026‑02
Improving the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language Models
Autoregressive
External Drafter [core]
Chain [inherited] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
GitHub Stars
DART · 2026‑01
DART: Diffusion-Inspired Speculative Decoding for Fast LLM Inference
Non-Autoregressive
External Drafter [core]
Tree [core] Token-Level
Exactness [inherited]
Speculation Control [inherited] Paper
GitHub Stars
FlexSpec · 2026‑01
FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding
Autoregressive
External Drafter [inherited]
Chain [inherited] Token-Level
Exactness [inherited]
Serving Systems [core] Paper
HSD · 2026‑01
Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding
Autoregressive
External Drafter [inherited]
Proposal-State
Modeling [inherited]
Block [core]
Collection [inherited]
Distribution-Level
Exactness [core]
Speculation Control [inherited] Paper
GitHub Stars
AdaSD · 2025‑12
AdaSD: Adaptive Speculative Decoding for Efficient Language Model Inference
Autoregressive
External Drafter [core]
Chain [core] Relaxed
Acceptance [core]
Speculation Control [core] Paper
Aggressive ASD · 2025‑12
Aggressive Speculative Decoding for Efficient Chain-of-Thought Reasoning
Autoregressive
External Drafter [inherited]
Chain [inherited] Bounded
Approximation [core]
Relaxed
Acceptance [core]
Speculation Control [core] Paper
ASDT · 2025‑12
ASDT: Adaptive Speculative Decoding Tree Based on Token Acceptance Feedback
Autoregressive
External Drafter [inherited]
Tree [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
Device-Server SD · 2025‑12
Device-Server Collaborative Speculative Decoding for Real-Time LLM Streaming
Autoregressive
External Drafter [inherited]
Chain [inherited] Relaxed
Acceptance [core]
Serving Systems [core] Paper
FailFast · 2025‑12
Fail Fast, Win Big: Rethinking the Drafting Strategy in Speculative Decoding via Diffusion LLMs
Non-Autoregressive
External Drafter [inherited]
Chain [inherited] Token-Level
Exactness [inherited]
Speculation Control [core]
Performance Analysis [core]
Paper
GitHub Stars
Nightjar · 2025‑12
Nightjar: Dynamic adaptive speculative decoding for large language models serving
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Performance Analysis [core]
Paper
Parallel Token Prediction · 2025‑12
Parallel Token Prediction for Language Models
Non-Autoregressive
External Drafter [core]
Block [core] Token-Level
Exactness [core]
-- Paper
GitHub Stars
Performance or Illusion · 2025‑12
Speculative Decoding: Performance or Illusion?
Autoregressive
External Drafter [inherited]
Target-Feature
Readout [inherited]
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [inherited]
Chain [inherited]
Tree [inherited]
-- Performance Analysis [core] Paper
Project
Project
RADAR · 2025‑12
RADAR: Accelerating Large Language Model Inference With RL-Based Dynamic Draft Trees
Proposal-State
Modeling [inherited]
Tree [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
GitHub Stars
Sparse Self-SD · 2025‑12
Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding
Target-Path
Execution [core]
Chain [core] Token-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
SpecPV · 2025‑12
SpecPV: Improving Self-Speculative Decoding for Long-Context Generation via Partial Verification
Proposal-State
Modeling [inherited]
Tree [inherited] Relaxed
Acceptance [core]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
Speed-of-Light · 2025‑12
Speculative Decoding Speed-of-Light: Optimal Lower Bounds via Branching Random Walks
-- Tree [core] Token-Level
Exactness [inherited]
Performance Analysis [core] Paper
T-pro 2.0 (EAGLE) · 2025‑12
T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground
Proposal-State
Modeling [inherited]
Tree [inherited] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [inherited]
Serving Systems [core]
Performance Analysis [core]
Paper
Project
Project
Cacheback · 2025‑11
Cacheback: Speculative Decoding With Nothing But Cache
Context-Derived
Nonparametric Source [core]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Serving Systems [core] Paper
GitHub Stars
Collective Adaptive SD · 2025‑11
Towards Efficient LLM Inference via Collective and Adaptive Speculative Decoding
Autoregressive
External Drafter [inherited]
Collection [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
FLy · 2025‑11
Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match
Autoregressive
External Drafter [inherited]
Context-Derived
Nonparametric Source [inherited]
Chain [inherited] Relaxed
Acceptance [core]
-- Paper
FractalLLM · 2025‑11
FractalLLM: Lossless Self-Speculative Decoding with Layer Embedded Self-Compression
Proposal-State
Modeling [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
GitHub Stars
Global Resolution · 2025‑11
Global Resolution: Optimal Multi-Draft Speculative Sampling via Convex Minimization
Autoregressive
External Drafter [inherited]
Tree [inherited]
Collection [core]
Bounded
Approximation [core]
-- Paper
N-Gram Trie SD · 2025‑11
Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding
Context-Derived
Nonparametric Source [core]
Tree [core] Token-Level
Exactness [core]
-- Paper
GitHub Stars
Next-Latent · 2025‑11
Next-Latent Prediction Transformers Learn Compact World Models
Proposal-State
Modeling [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
GitHub Stars
SDSquare · 2025‑11
Steering Pretrained Drafters During Speculative Decoding
Autoregressive
External Drafter [core]
Chain [inherited] Distribution-Level
Exactness [inherited]
Speculation Control [inherited] Paper
GitHub Stars
SpecDiff-2 · 2025‑11
SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding
Non-Autoregressive
External Drafter [core]
Block [core]
Collection [core]
Token-Level
Exactness [inherited]
Speculation Control [core] Paper
SpecFormer · 2025‑11
Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios
Proposal-State
Modeling [core]
Block [core] Token-Level
Exactness [inherited]
Performance Analysis [core] Paper
GitHub Stars
WiP · 2025‑11
WiP: Efficient Speculative Decoding for AI PCs via Hierarchical N-Gram Retrieval
Context-Derived
Nonparametric Source [core]
Tree [core] Token-Level
Exactness [core]
Serving Systems [core] Paper
3-Model · 2025‑10
3-Model Speculative Decoding
Autoregressive
External Drafter [core]
Chain [core] Relaxed
Acceptance [core]
Speculation Control [core]
Performance Analysis [core]
Paper
AdaSPEC · 2025‑10
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
Autoregressive
External Drafter [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
GitHub Stars
BatchSpec · 2025‑10
Batch Speculative Decoding Done Right
Autoregressive
External Drafter [inherited]
Chain [inherited] Token-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
CAS-Spec · 2025‑10
CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs
Target-Path
Execution [core]
Context-Derived
Nonparametric Source [inherited]
Tree [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
Comm-Efficient SD · 2025‑10
Communication-Efficient Speculative Decoding for Large Language Models Inference
Autoregressive
External Drafter [core]
Chain [inherited] Relaxed
Acceptance [core]
Speculation Control [core]
Serving Systems [core]
Paper
DiffuSpec · 2025‑10
DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding
Non-Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Performance Analysis [core]
Paper
Disparate Impacts · 2025‑10
The Disparate Impacts of Speculative Decoding
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
Draft-Verify-Improve · 2025‑10
Draft, Verify, and Improve: Toward Training-Aware Speculative Decoding
Target-Path
Execution [core]
Target-Feature
Readout [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
DynaSpec · 2025‑10
DynaSpec: Context-aware Dynamic Speculative Sampling for Large-Vocabulary Language Models
Proposal-State
Modeling [inherited]
Tree [inherited] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Serving Systems [core]
Performance Analysis [core]
Paper
HiSpec · 2025‑10
HiSpec: Hierarchical Speculative Decoding for LLMs
Target-Path
Execution [core]
Target-Feature
Readout [inherited]
Chain [core] Token-Level
Exactness [core]
Distribution-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Performance Analysis [core]
Paper
Mirror SD · 2025‑10
Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference
Autoregressive
External Drafter [core]
Target-Path
Execution [core]
Tree [core] Token-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Paper
Polybasic · 2025‑10
Polybasic Speculative Decoding Through a Theoretical Perspective
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Performance Analysis [core]
Paper
ReSpec · 2025‑10
ReSpec: Towards Optimizing Speculative Decoding in Reinforcement Learning Systems
Autoregressive
External Drafter [core]
Tree [core] Distribution-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Performance Analysis [core]
Paper
TokenTiming · 2025‑10
TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
-- Paper
Collaborative SD · 2025‑09
Communication-Efficient Collaborative LLM Inference via Distributed Speculative Decoding
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Performance Analysis [core]
Paper
DSDE · 2025‑09
DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World Serving
Autoregressive
External Drafter [inherited]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
FastMTP · 2025‑09
FastMTP: Accelerating LLM Inference with Enhanced Multi-Token Prediction
Proposal-State
Modeling [core]
Chain [inherited] Token-Level
Exactness [inherited]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
Pipeline Early-Exit · 2025‑09
Pipeline Parallelism is All You Need for Optimized Early-Exit Based Self-Speculative Decoding
Target-Path
Execution [core]
Target-Feature
Readout [core]
Chain [inherited] Token-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Paper
SN40L SD · 2025‑09
Speculative Decoding on the SN40L Reconfigurable Dataflow Unit
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Serving Systems [core] Paper
SPEC-RL · 2025‑09
SPEC-RL: Accelerating On-Policy Reinforcement Learning with Speculative Rollouts
Context-Derived
Nonparametric Source [core]
Chain [inherited] Relaxed
Acceptance [core]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Paper
SpecMamba · 2025‑09
SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding
Autoregressive
External Drafter [core]
Tree [core] Distribution-Level
Exactness [core]
Serving Systems [core] Paper
SSBD · 2025‑09
Self-Speculative Biased Decoding for Faster Re-Translation
Context-Derived
Nonparametric Source [core]
Chain [core] Token-Level
Exactness [inherited]
Relaxed
Acceptance [core]
State Management [core] Paper
CARD · 2025‑08
CARD: A Cache-Assisted Parallel Speculative Decoding Framework via Query-and-Correct Paradigm for Accelerating LLM Inference
Autoregressive
External Drafter [core]
Context-Derived
Nonparametric Source [core]
Chain [inherited] Distribution-Level
Exactness [core]
-- Paper
GitHub Stars
Confidence-Modulated · 2025‑08
Confidence-Modulated Speculative Decoding for Large Language Models
Non-Autoregressive
External Drafter [inherited]
Block [inherited] Relaxed
Acceptance [core]
Speculation Control [core] Paper
KVPSN (text-to-text mode) · 2025‑08
Novel Parasitic Dual-Scale Modeling for Efficient and Accurate Multilingual Speech Translation
Autoregressive
External Drafter [core]
Chain [inherited] Token-Level
Exactness [inherited]
Relaxed
Acceptance [core]
State Management [core] Paper
ResDecode · 2025‑08
ResDecode: Accelerating Large Language Models Inference via Residual Decoding Heads
Proposal-State
Modeling [core]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
GitHub Stars
SSD (Safety-Aware) · 2025‑08
Speculative Safety-Aware Decoding
Autoregressive
External Drafter [inherited]
Chain [inherited] Relaxed
Acceptance [core]
Speculation Control [core] Paper
GitHub Stars
Project
SSS · 2025‑08
Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner
Autoregressive
External Drafter [inherited]
Chain [inherited] Relaxed
Acceptance [core]
-- Paper
GitHub Stars
SuperSpec · 2025‑08
SuperSpec: Enhanced Verification and Sampling for End-to-End LLM Speculative Decoding
Autoregressive
External Drafter [inherited]
Collection [core]
Tree [core]
Distribution-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Paper
Disaggregated · 2025‑07
Disaggregated Speculative Decoding for Carbon-Efficient LLM Serving
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
Serving Systems [core]
Performance Analysis [core]
Paper
DSSD · 2025‑07
DSSD: Efficient Edge-Device LLM Deployment and Collaborative Inference via Distributed Split Speculative Decoding
Autoregressive
External Drafter [core]
Chain [inherited] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
EDD/PCT · 2025‑07
Faster Speculative Decoding via Effective Draft Decoder with Pruned Candidate Tree
Autoregressive
External Drafter [core]
Tree [core] Token-Level
Exactness [core]
Speculation Control [core] Paper
HVT · 2025‑07
Hierarchical Verification of Speculative Beams for Accelerating LLM Inference
Autoregressive
External Drafter [inherited]
Tree [core] -- Speculation Control [core] Paper
3D-TokSIM · 2025‑06
3D-TokSIM: Stacking 3D Memory with Token-Stationary Compute-in-Memory for Speculative LLM Inference
-- Chain [inherited] Token-Level
Exactness [inherited]
Serving Systems [core]
Performance Analysis [core]
Paper
Dynamic-K SD · 2025‑06
Dynamic K Mechanism for Accelerating Speculative Decoding in vLLM
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
GSI · 2025‑06
Guided Speculative Inference for Efficient Test-Time Alignment of LLMs
Autoregressive
External Drafter [inherited]
Collection [core] Bounded
Approximation [core]
Relaxed
Acceptance [core]
Speculation Control [core] Paper
GitHub Stars
List-Level · 2025‑06
List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression
Autoregressive
External Drafter [inherited]
Collection [core] Distribution-Level
Exactness [core]
-- Paper
Lookahead Reasoning · 2025‑06
Scaling Speculative Decoding with Lookahead Reasoning
Autoregressive
External Drafter [inherited]
Chain [core] Relaxed
Acceptance [core]
Speculation Control [core]
Performance Analysis [core]
Paper
GitHub Stars
Mamba · 2025‑06
Mamba Drafters for Speculative Decoding
Autoregressive
External Drafter [core]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
Model-Free Test-Time Scaling · 2025‑06
Accelerated Test-Time Scaling with Model-Free Speculative Sampling
Context-Derived
Nonparametric Source [core]
Tree [core] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
POSS · 2025‑06
POSS: Position Specialist Generates Better Draft for Speculative Decoding
Proposal-State
Modeling [core]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
GitHub Stars
S4C · 2025‑06
S4C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models
Proposal-State
Modeling [core]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
SpecBranch · 2025‑06
SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism
Autoregressive
External Drafter [inherited]
Tree [core] Token-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
SpecEE · 2025‑06
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting
Proposal-State
Modeling [inherited]
Tree [inherited] Relaxed
Acceptance [core]
Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
SpecMemo · 2025‑06
SpecMemo: Speculative Decoding is in Your Pocket
Target-Feature
Readout [inherited]
Tree [core] Token-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Performance Analysis [core]
Paper
SwiftSpec · 2025‑06
SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding
Autoregressive
External Drafter [inherited]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
State Management [core]
Serving Systems [core]
Paper
Utility-Driven · 2025‑06
Utility-Driven Speculative Decoding for Mixture-of-Experts
Context-Derived
Nonparametric Source [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Performance Analysis [core]
Paper
VOCABTRIM · 2025‑06
VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMs
Autoregressive
External Drafter [inherited]
Proposal-State
Modeling [inherited]
Chain [core]
Tree [core]
Distribution-Level
Exactness [core]
Serving Systems [core]
Performance Analysis [core]
Paper
Alignment-Augmented · 2025‑05
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification
Context-Derived
Nonparametric Source [core]
Chain [core] Relaxed
Acceptance [core]
-- Paper
Automatic · 2025‑05
Automatic Task Detection and Heterogeneous LLM Speculative Decoding
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
BanditSpec · 2025‑05
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [inherited]
Chain [core]
Tree [core]
Distribution-Level
Exactness [core]
Speculation Control [core] Paper
GitHub Stars
CLaSp · 2025‑05
CLaSp: In-Context Layer Skip for Self-Speculative Decoding
Target-Path
Execution [core]
Chain [core] Token-Level
Exactness [core]
Speculation Control [core] Paper
Ghidorah · 2025‑05
Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
Target-Feature
Readout [inherited]
Tree [core] Token-Level
Exactness [inherited]
Serving Systems [core]
Performance Analysis [core]
Paper
KNN-SSD · 2025‑05
KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization
Target-Path
Execution [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
GitHub Stars
LAPS-SD · 2025‑05
Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Performance Analysis [core]
Paper
MTP Curriculum · 2025‑05
Pre-Training Curriculum for Multi-Token Prediction in Language Models
Target-Feature
Readout [core]
Block [inherited] Token-Level
Exactness [inherited]
-- Paper
GitHub Stars
PipeSpec · 2025‑05
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
Autoregressive
External Drafter [inherited]
Chain [inherited] Token-Level
Exactness [inherited]
Serving Systems [core] Paper
GitHub Stars
Quantization Compat. · 2025‑05
Speculative Decoding Meets Quantization: Compatibility Evaluation and Hierarchical Framework Design
Autoregressive
External Drafter [core]
Proposal-State
Modeling [inherited]
Tree [core]
Chain [core]
Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Performance Analysis [core]
Paper
SpecRouter · 2025‑05
SpecRouter: Adaptive Routing for Multi-Level Speculative Decoding in Large Language Models
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Paper
Traversal · 2025‑05
Traversal Verification for Speculative Tree Decoding
Autoregressive
External Drafter [inherited]
Proposal-State
Modeling [inherited]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
ASSD · 2025‑04
Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative Decoding
Target-Path
Execution [core]
Block [core] Distribution-Level
Exactness [core]
Speculation Control [inherited] Paper
GitHub Stars
DEL · 2025‑04
DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding
Target-Path
Execution [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
GitHub Stars
EdgeLLM · 2025‑04
EdgeLLM: Fast On-Device LLM Inference With Speculative Decoding
Autoregressive
External Drafter [core]
Tree [core] Token-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
Exponential Races · 2025‑04
Speculative Sampling via Exponential Races
Autoregressive
External Drafter [core]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
Hierarchical · 2025‑04
Hierarchical Speculative Decoding with Dynamic Window
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
PARD · 2025‑04
PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation
Non-Autoregressive
External Drafter [core]
Block [core] Distribution-Level
Exactness [core]
-- Paper
GitHub Stars
SD$^2$ · 2025‑04
SD$^2$: Self-Distilled Sparse Drafters
Autoregressive
External Drafter [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
SpecReason · 2025‑04
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning
Autoregressive
External Drafter [inherited]
Chain [core] Relaxed
Acceptance [core]
Speculation Control [core]
Performance Analysis [core]
Paper
GitHub Stars
SPIRe · 2025‑04
SPIRe: Boosting LLM Inference Throughput with Speculative Decoding
Autoregressive
External Drafter [core]
Chain [inherited] Distribution-Level
Exactness [core]
State Management [core]
Performance Analysis [core]
Paper
AdaSpec-SLO · 2025‑03
AdaSpec: Adaptive Speculative Decoding for Fast, SLO-Aware Large Language Model Serving
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
Speculation Control [core] Paper
GitHub Stars
Domain Draft Models · 2025‑03
Training Domain Draft Models for Speculative Decoding: Best Practices and Insights
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
-- Paper
DuoDecoding · 2025‑03
DuoDecoding: Hardware-aware Heterogeneous Speculative Decoding with Dynamic Multi-Sequence Drafting
Autoregressive
External Drafter [core]
Collection [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
Dynamic Adjustment · 2025‑03
Improving Speculative Decoding with Dynamic Adjustment and Probability Smoothing
Autoregressive
External Drafter [core]
Collection [core] Distribution-Level
Exactness [core]
-- Paper
EAGLE-3 · 2025‑03
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
Proposal-State
Modeling [core]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [inherited]
Serving Systems [inherited]
Paper
GitHub Stars
ML-SpecQD · 2025‑03
ML-SpecQD: Multi-Level Speculative Decoding with Quantized Drafts
Autoregressive
External Drafter [core]
Chain [inherited] Token-Level
Exactness [inherited]
Serving Systems [core]
Performance Analysis [core]
Paper
Multi-Sample SD · 2025‑03
Speculative Decoding for Multi-Sample Inference
Context-Derived
Nonparametric Source [core]
Collection [core] Distribution-Level
Exactness [core]
-- Paper
RASD · 2025‑03
RASD: Retrieval-Augmented Speculative Decoding
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [core]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
vLLM SpecInfer · 2025‑03
Speculative Inference with vLLM: Optimizing Heterogeneous Computing in Training-Inference Integrated Environments
-- Chain [inherited] -- Serving Systems [core] Paper
CopySpec · 2025‑02
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
GitHub Stars
DReSD · 2025‑02
DReSD: Dense Retrieval for Speculative Decoding
Context-Derived
Nonparametric Source [core]
Chain [core]
Collection [core]
Token-Level
Exactness [core]
-- Paper
GitHub Stars
Dynamic Tree Attention · 2025‑02
Acceleration Multiple Heads Decoding for LLM via Dynamic Tree Attention
Target-Feature
Readout [inherited]
Tree [core] Token-Level
Exactness [core]
Serving Systems [core] Paper
GitHub Stars
FR-Spec · 2025‑02
FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling
Target-Feature
Readout [inherited]
Proposal-State
Modeling [inherited]
Tree [core] Distribution-Level
Exactness [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
Fuzzy · 2025‑02
Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff
Autoregressive
External Drafter [core]
Proposal-State
Modeling [inherited]
Chain [core] Relaxed
Acceptance [core]
Speculation Control [core]
Performance Analysis [core]
Paper
GitHub Stars
GRIFFIN · 2025‑02
GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
Proposal-State
Modeling [core]
Tree [core] Token-Level
Exactness [core]
-- Paper
GitHub Stars
Heterogeneous Vocab SD · 2025‑02
Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
Hierarchical Drafting · 2025‑02
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding
Context-Derived
Nonparametric Source [core]
Chain [core] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
GitHub Stars
Optimal Multi-Draft · 2025‑02
Towards Optimal Multi-draft Speculative Decoding
Autoregressive
External Drafter [inherited]
Proposal-State
Modeling [inherited]
Collection [core] Distribution-Level
Exactness [core]
-- Paper
QuantSpec · 2025‑02
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
Target-Path
Execution [core]
Chain [core] Token-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Paper
TETRIS · 2025‑02
TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
Autoregressive
External Drafter [inherited]
Target-Feature
Readout [inherited]
Collection [core] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Performance Analysis [core]
Paper
Drop-In Adaptation · 2025‑01
A Drop-In Solution for On-the-Fly Adaptation of Speculative Decoding in Large Language Models
Autoregressive
External Drafter [core]
Proposal-State
Modeling [inherited]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
Judge Decoding · 2025‑01
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
Autoregressive
External Drafter [inherited]
Chain [inherited] Relaxed
Acceptance [core]
Performance Analysis [core] Paper
RSD · 2025‑01
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Autoregressive
External Drafter [inherited]
Chain [core] Relaxed
Acceptance [core]
Speculation Control [core] Paper
GitHub Stars
SpecStreaming-MSA · 2025‑01
Speculative Streaming: Efficient and Scalable Speculative Decoding with Multi-Stream Attention
Proposal-State
Modeling [core]
Collection [core] Distribution-Level
Exactness [core]
Relaxed
Acceptance [core]
-- Paper
CTC Drafter · 2024‑12
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
Target-Feature
Readout [core]
Block [core]
Tree [core]
Token-Level
Exactness [core]
-- Paper
Dovetail · 2024‑12
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference
Proposal-State
Modeling [core]
Chain [core] Distribution-Level
Exactness [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
Falcon · 2024‑12
Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree
Proposal-State
Modeling [core]
Block [core]
Tree [core]
Token-Level
Exactness [core]
-- Paper
PLD+ · 2024‑12
PLD+: Accelerating LLM inference by leveraging Language Model Artifacts
Context-Derived
Nonparametric Source [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
FastDraft · 2024‑11
FastDraft: How to Train Your Draft
Autoregressive
External Drafter [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
SAM Decoding · 2024‑11
SAM Decoding: Speculative Decoding via Suffix Automaton
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
Self-Verification SD · 2024‑11
Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation
Autoregressive
External Drafter [core]
Proposal-State
Modeling [inherited]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
SpecHub · 2024‑11
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding
Autoregressive
External Drafter [inherited]
Proposal-State
Modeling [inherited]
Collection [core] Distribution-Level
Exactness [core]
-- Paper
GitHub Stars
Speculative Side Channels · 2024‑11
When Speculation Spills Secrets: Side Channels via Speculative Decoding In LLMs
Proposal-State
Modeling [inherited]
Chain [inherited]
Tree [inherited]
-- Serving Systems [core]
Performance Analysis [core]
Paper
SSSD · 2024‑11
SSSD: Simply-Scalable Speculative Decoding
Context-Derived
Nonparametric Source [core]
Tree [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Performance Analysis [core]
Paper
GitHub Stars
SuffixDecoding · 2024‑11
SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications
Proposal-State
Modeling [inherited]
Context-Derived
Nonparametric Source [core]
Tree [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
The N-Grammys · 2024‑11
The N-Grammys: Accelerating Autoregressive Inference with Learning-Free Batched Speculation
Context-Derived
Nonparametric Source [core]
Collection [core] Token-Level
Exactness [inherited]
Serving Systems [core]
Performance Analysis [core]
Paper
Theoretical · 2024‑11
A Theoretical Perspective for Speculative Decoding Algorithm
Autoregressive
External Drafter [inherited]
Chain [inherited] Bounded
Approximation [core]
Performance Analysis [core] Paper
AMUSD · 2024‑10
AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Paper
Cerberus · 2024‑10
Cerberus: Efficient Inference with Adaptive Parallel Decoding and Sequential Knowledge Enhancement
Proposal-State
Modeling [core]
Tree [core] Token-Level
Exactness [core]
Speculation Control [core] Paper
Draft on the Fly · 2024‑10
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity
Target-Path
Execution [core]
Chain [core] Token-Level
Exactness [core]
Speculation Control [core] Paper
DySpec · 2024‑10
DySpec: Faster speculative decoding with dynamic token tree structure
Autoregressive
External Drafter [core]
Tree [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
Inevitable · 2024‑10
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
Autoregressive
External Drafter [core]
Chain [inherited] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
Multi-Draft · 2024‑10
Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits
Autoregressive
External Drafter [inherited]
Collection [core] Distribution-Level
Exactness [core]
-- Paper
ParallelSpec · 2024‑10
ParallelSpec: Parallel Drafter for Efficient Speculative Decoding
Non-Autoregressive
External Drafter [core]
Block [core]
Tree [core]
Distribution-Level
Exactness [core]
-- Paper
QSpec · 2024‑10
QSpec: Speculative Decoding with Complementary Quantization Schemes
Target-Path
Execution [core]
Chain [core] Token-Level
Exactness [core]
Serving Systems [core]
Performance Analysis [core]
Paper
SWIFT · 2024‑10
SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
Target-Path
Execution [core]
Chain [core]
Tree [core]
Token-Level
Exactness [core]
Distribution-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Paper
GitHub Stars
Temperature-Centric · 2024‑10
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation
Autoregressive
External Drafter [core]
Chain [inherited] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
GitHub Stars
Tensor-MTP · 2024‑10
Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition
Target-Feature
Readout [core]
Block [inherited]
Tree [inherited]
Token-Level
Exactness [inherited]
Speculation Control [inherited] Paper
Dynamic Depth Decoding · 2024‑09
Dynamic Depth Decoding: Faster Speculative Decoding for LLMs
Proposal-State
Modeling [inherited]
Tree [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
Multi-Candidate SD · 2024‑09
Improving Multi-candidate Speculative Decoding
Autoregressive
External Drafter [core]
Target-Path
Execution [core]
Tree [core]
Collection [core]
Relaxed
Acceptance [core]
Speculation Control [core] Paper
Context-Aware · 2024‑08
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
CREST · 2024‑08
CREST: Effectively Compacting a Datastore For Retrieval-Based Speculative Decoding
Context-Derived
Nonparametric Source [core]
Tree [core] Token-Level
Exactness [core]
Speculation Control [core]
Performance Analysis [core]
Paper
DISD · 2024‑08
Coupling Without Communication and Drafter-Invariant Speculative Decoding
Autoregressive
External Drafter [inherited]
Collection [inherited] Distribution-Level
Exactness [core]
-- Paper
GitHub Stars
Draft & Verify · 2024‑08
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
Target-Path
Execution [core]
Chain [core] Token-Level
Exactness [core]
Speculation Control [core] Paper
GitHub Stars
Feature Alignment · 2024‑08
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation
Proposal-State
Modeling [core]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
Harmonized Repr. · 2024‑08
Learning Harmonized Representations for Speculative Sampling
Proposal-State
Modeling [core]
Tree [core] Distribution-Level
Exactness [core]
-- Paper
KOALA · 2024‑08
KOALA: Enhancing Speculative Decoding for LLM via Multi-Layer Draft Heads with Adversarial Learning
Target-Feature
Readout [core]
Proposal-State
Modeling [core]
Chain [core] Distribution-Level
Exactness [core]
-- Paper
LASER · 2024‑08
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Context-Derived
Nonparametric Source [core]
Tree [core] Relaxed
Acceptance [core]
-- Paper
GitHub Stars
PEARL · 2024‑08
PEARL: Parallel Speculative Decoding with Adaptive Draft Length
Autoregressive
External Drafter [core]
Chain [inherited] Distribution-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
SCD · 2024‑08
Speculative Contrastive Decoding
Autoregressive
External Drafter [inherited]
Chain [inherited] Relaxed
Acceptance [core]
Performance Analysis [core] Paper
Dynamic Self-SD · 2024‑07
Accelerating Large Language Model Inference with Self-Supervised Early Exits
Target-Path
Execution [core]
Target-Feature
Readout [core]
Chain [core] Token-Level
Exactness [core]
Speculation Control [core] Paper
GitHub Stars
Graph-Structured · 2024‑07
Graph-Structured Speculative Decoding
Autoregressive
External Drafter [core]
Tree [core] Token-Level
Exactness [core]
Distribution-Level
Exactness [core]
Speculation Control [core] Paper
S2D · 2024‑07
S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models
Autoregressive
External Drafter [core]
Chain [core] Token-Level
Exactness [core]
Speculation Control [core]
Serving Systems [core]
Paper
Amphista · 2024‑06
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
Proposal-State
Modeling [core]
Tree [core]
Collection [core]
Token-Level
Exactness [core]
Distribution-Level
Exactness [core]
-- Paper
EAGLE-2 · 2024‑06
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees
Proposal-State
Modeling [inherited]
Tree [core] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Serving Systems [inherited]
Paper
Early-Exit Thompson · 2024‑06
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism
Target-Path
Execution [core]
Target-Feature
Readout [core]
Chain [core] Token-Level
Exactness [core]
Distribution-Level
Exactness [core]
State Management [inherited]
Speculation Control [core]
Paper
GenZ · 2024‑06
Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models
Autoregressive
External Drafter [inherited]
Chain [inherited] -- Performance Analysis [core] Paper
GitHub Stars
Multilingual Drafters · 2024‑06
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Performance Analysis [core] Paper
GitHub Stars
OPT-Tree · 2024‑06
OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure
Autoregressive
External Drafter [inherited]
Proposal-State
Modeling [inherited]
Tree [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
GitHub Stars
Optimized · 2024‑06
Optimized Speculative Sampling for GPU Hardware Accelerators
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
Relaxed
Acceptance [core]
Serving Systems [core] Paper
SpecExec · 2024‑06
SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices
Autoregressive
External Drafter [core]
Tree [core] Distribution-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
Clover · 2024‑05
Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge
Proposal-State
Modeling [core]
Tree [core]
Collection [core]
Token-Level
Exactness [core]
Distribution-Level
Exactness [core]
-- Paper
Dynamic Lookahead · 2024‑05
Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
How Speculative · 2024‑05
How Speculative Can Speculative Decoding Be?
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
Performance Analysis [core] Paper
GitHub Stars
NEST · 2024‑05
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
Context-Derived
Nonparametric Source [core]
Chain [inherited] Relaxed
Acceptance [core]
Speculation Control [inherited] Paper
S3D · 2024‑05
S3D: A Simple and Cost-Effective Self-Speculative Decoding Scheme for Low-Memory GPUs
Target-Path
Execution [core]
Block [core] Token-Level
Exactness [core]
Relaxed
Acceptance [core]
Serving Systems [core]
Performance Analysis [core]
Paper
SpecDec++ · 2024‑05
SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
Speculative Cascades · 2024‑05
Faster Cascades via Speculative Decoding
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [core]
Relaxed
Acceptance [core]
Performance Analysis [core] Paper
BASS · 2024‑04
BASS: Batched Attention-optimized Speculative Sampling
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
State Management [core]
Serving Systems [core]
Paper
Exploring · 2024‑04
Exploring and Improving Drafts in Blockwise Parallel Decoding
Target-Feature
Readout [core]
Context-Derived
Nonparametric Source [core]
Block [core]
Collection [core]
Token-Level
Exactness [core]
-- Paper
Hidden Transfer · 2024‑04
Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration
Target-Path
Execution [core]
Proposal-State
Modeling [core]
Tree [core] Token-Level
Exactness [core]
-- Paper
LayerSkip · 2024‑04
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Target-Path
Execution [core]
Chain [core] Token-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Paper
GitHub Stars
Block Verification · 2024‑03
Block Verification Accelerates Speculative Decoding
Autoregressive
External Drafter [inherited]
Block [core] Distribution-Level
Exactness [core]
-- Paper
Direct · 2024‑03
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
-- Paper
Recurrent · 2024‑03
Recurrent Drafter for Fast Speculative Decoding in Large Language Models
Proposal-State
Modeling [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
GitHub Stars
SDSAT · 2024‑03
SDSAT: Accelerating LLM Inference through Speculative Decoding with Semantic Adaptive Tokens
Target-Path
Execution [core]
Block [core]
Tree [core]
Token-Level
Exactness [core]
Speculation Control [core] Paper
GitHub Stars
Chimera · 2024‑02
Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens
Target-Feature
Readout [core]
Tree [core] Token-Level
Exactness [core]
Speculation Control [core] Paper
Decoding · 2024‑02
Decoding Speculative Decoding
Autoregressive
External Drafter [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
Performance Analysis [core] Paper
GliDe with a CaPE · 2024‑02
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
Autoregressive
External Drafter [core]
Collection [core] Distribution-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Paper
Hydra · 2024‑02
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding
Target-Feature
Readout [core]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Relaxed
Acceptance [inherited]
Speculation Control [inherited]
Serving Systems [inherited]
Paper
GitHub Stars
Lookahead · 2024‑02
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
Context-Derived
Nonparametric Source [core]
Collection [core] Distribution-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Paper
GitHub Stars
Ouroboros · 2024‑02
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding
Autoregressive
External Drafter [core]
Context-Derived
Nonparametric Source [core]
Block [core]
Tree [core]
Distribution-Level
Exactness [core]
Speculation Control [core] Paper
ProPD · 2024‑02
ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding
Target-Feature
Readout [inherited]
Tree [core] Token-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Paper
Sequoia · 2024‑02
Sequoia: Scalable and Robust Speculative Decoding
Autoregressive
External Drafter [inherited]
Tree [core] Distribution-Level
Exactness [core]
Speculation Control [core]
Performance Analysis [core]
Paper
GitHub Stars
Smart Auto-Correct · 2024‑02
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding
Target-Path
Execution [core]
Block [core] Distribution-Level
Exactness [core]
-- Paper
SpecStreaming · 2024‑02
Speculative Streaming: Fast LLM Inference without Auxiliary Models
Proposal-State
Modeling [core]
Tree [core] Token-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Paper
EAGLE · 2024‑01
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
Proposal-State
Modeling [core]
Chain [core]
Tree [core]
Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Serving Systems [inherited] Paper
Kangaroo · 2024‑01
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
Target-Path
Execution [core]
Target-Feature
Readout [core]
Chain [core] Token-Level
Exactness [core]
State Management [inherited]
Speculation Control [core]
Paper
Medusa · 2024‑01
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Target-Feature
Readout [core]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Relaxed
Acceptance [core]
Serving Systems [core] Paper
GitHub Stars
Multi-Candidate · 2024‑01
Multi-Candidate Speculative Decoding
Autoregressive
External Drafter [core]
Collection [core]
Tree [core]
Distribution-Level
Exactness [core]
-- Paper
PaSS · 2023‑11
PaSS: Parallel Speculative Sampling
Target-Path
Execution [core]
Block [core] Distribution-Level
Exactness [core]
-- Paper
REST · 2023‑11
REST: Retrieval-Based Speculative Decoding
Context-Derived
Nonparametric Source [core]
Tree [core] Token-Level
Exactness [inherited]
Distribution-Level
Exactness [inherited]
Speculation Control [inherited]
Serving Systems [inherited]
Paper
GitHub Stars
Batching Synergy · 2023‑10
The Synergy of Speculative Decoding and Batching in Serving Large Language Models
Autoregressive
External Drafter [core]
Chain [core] Token-Level
Exactness [core]
State Management [core]
Speculation Control [core]
Performance Analysis [core]
Paper
DistillSpec · 2023‑10
DistillSpec: Improving Speculative Decoding via Knowledge Distillation
Autoregressive
External Drafter [core]
Chain [inherited] Distribution-Level
Exactness [inherited]
Relaxed
Acceptance [core]
Speculation Control [inherited] Paper
Online SD · 2023‑10
Online Speculative Decoding
Autoregressive
External Drafter [core]
Target-Feature
Readout [inherited]
Chain [inherited] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Serving Systems [core]
Paper
GitHub Stars
SpecTr · 2023‑10
SpecTr: Fast Speculative Decoding via Optimal Transport
Autoregressive
External Drafter [inherited]
Tree [core]
Collection [core]
Distribution-Level
Exactness [core]
-- Paper
Staged · 2023‑08
Accelerating LLM Inference with Staged Speculative Decoding
Autoregressive
External Drafter [core]
Context-Derived
Nonparametric Source [core]
Tree [core] Distribution-Level
Exactness [inherited]
Speculation Control [core]
Performance Analysis [core]
Paper
SpecInfer · 2023‑05
SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification
Autoregressive
External Drafter [inherited]
Tree [core] Token-Level
Exactness [core]
Distribution-Level
Exactness [core]
State Management [core]
Serving Systems [core]
Paper
GitHub Stars
Inference with Reference · 2023‑04
Inference with Reference: Lossless Acceleration of Large Language Models
Context-Derived
Nonparametric Source [core]
Chain [core] Token-Level
Exactness [core]
-- Paper
GitHub Stars
Big-Little Decoder · 2023‑02
Speculative Decoding with Big Little Decoder
Autoregressive
External Drafter [core]
Chain [core] Relaxed
Acceptance [core]
Speculation Control [core] Paper
GitHub Stars
Speculative Sampling · 2023‑02
Accelerating Large Language Model Decoding with Speculative Sampling
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
Speculative Decoding · 2022‑11
Fast Inference from Transformers via Speculative Decoding
Autoregressive
External Drafter [core]
Chain [core] Distribution-Level
Exactness [core]
Speculation Control [core] Paper
SpecDec · 2022‑03
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation
Non-Autoregressive
External Drafter [core]
Block [core] Relaxed
Acceptance [core]
Speculation Control [core]
Serving Systems [core]
Paper
Blockwise · 2018‑11
Blockwise Parallel Decoding for Deep Autoregressive Models
Target-Feature
Readout [core]
Block [core] Token-Level
Exactness [core]
Relaxed
Acceptance [core]
Speculation Control [core] Paper
GitHub Stars

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This repository is licensed under the Creative Commons Attribution 4.0 International License.

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LLM Speculative Decoding in 2026: A systems co-design perspective covering four connected aspects: Draft Source, Draft Geometry, Verification Fidelity, and Runtime Execution.

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