Companion Method Profiles for a systems co-design survey of speculative decoding.
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.
- 2026‑10‑16 The published version of our paper is now available.
- 2026‑09‑28 Updated to 312 Method Profiles, with revised classifications and links. The 19 September 2026 fixed snapshot is available with evidence and reproducible counts.
- 2026‑08‑12 The survey preprint is now available.
- 2026‑07‑23 The Interactive Method Profiles Explorer is now open.
- 2026‑07‑20 Initial release: 304 Method Profiles were organized across four systems-view aspects.
If you find this survey or repository useful, please consider citing our survey:
@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}
}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.
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
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.
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
-- | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
CoSpec · 2026‑05 Beyond the Target: From Imitation to Collaboration in Speculative Decoding |
Autoregressive External Drafter [inherited] |
Chain [inherited] | Relaxed Acceptance [core] |
-- | |
|
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] | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
Future Validity · 2026‑05 Future Validity is the Missing Statistic: From Impossibility to |
-- | Chain [core] | Distribution-Level Exactness [core] |
Performance Analysis [core] | |
|
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] | |
|
Latency Model · 2026‑05 An Interpretable Latency Model for Speculative Decoding in LLM Serving |
Proposal-State Modeling [inherited] |
Chain [inherited] | -- | Performance Analysis [core] | |
|
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] | |
|
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] | |
|
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] |
-- |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] | |
|
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] | |
|
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] |
|
|
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] |
|
|
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] |
-- | |
|
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] |
|
|
Acceptance · 2026‑04 Acceptance Dynamics Across Cognitive Domains in Speculative Decoding |
Autoregressive External Drafter [core] |
Tree [core] | Distribution-Level Exactness [core] |
Performance Analysis [core] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
Cross-Family · 2026‑04 Cross-Family Speculative Decoding for Polish Language Models on Apple |
Autoregressive External Drafter [core] |
Chain [core] | Distribution-Level Exactness [core] |
Performance Analysis [core] |
|
|
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] |
|
|
DIVERSED · 2026‑04 DIVERSED: Relaxed Speculative Decoding via Dynamic Ensemble Verification |
Autoregressive External Drafter [core] |
Chain [core] | Relaxed Acceptance [core] |
-- |
|
|
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] | |
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
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] |
|
|
RACER · 2026‑04 RACER: Retrieval-Augmented Contextual Rapid Speculative Decoding |
Context-Derived Nonparametric Source [core] |
Tree [core] | Token-Level Exactness [inherited] |
Speculation Control [inherited] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] | |
|
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] | |
|
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] |
|
|
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] |
-- | |
|
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] | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
Re-SpS · 2026‑03 Re-SpS: A Reinforcement Learning Approach to Speculative Sampling |
Proposal-State Modeling [inherited] |
Tree [core] | Distribution-Level Exactness [core] |
-- |
|
|
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] |
-- |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] | |
|
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] |
|
|
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] | |
|
PRISM · 2026‑02 PRISM: Parametrically Refactoring Inference for Speculative Sampling Draft Models |
Proposal-State Modeling [core] |
Tree [core] | Distribution-Level Exactness [core] |
-- | |
|
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] |
-- | |
|
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] |
-- | |
|
SpecVocab · 2026‑02 Speculative Decoding with a Speculative Vocabulary |
Proposal-State Modeling [inherited] |
Tree [inherited] | Distribution-Level Exactness [inherited] |
Performance Analysis [core] | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
AdaSD · 2025‑12 AdaSD: Adaptive Speculative Decoding for Efficient Language Model Inference |
Autoregressive External Drafter [core] |
Chain [core] | Relaxed Acceptance [core] |
Speculation Control [core] | |
|
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] | |
|
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] | |
|
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] | |
|
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] |
|
|
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] |
|
|
Parallel Token Prediction · 2025‑12 Parallel Token Prediction for Language Models |
Non-Autoregressive External Drafter [core] |
Block [core] | Token-Level Exactness [core] |
-- |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
-- | |
|
FractalLLM · 2025‑11 FractalLLM: Lossless Self-Speculative Decoding with Layer Embedded Self-Compression |
Proposal-State Modeling [core] |
Chain [core] | Token-Level Exactness [core] |
-- |
|
|
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] |
-- | |
|
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] |
-- |
|
|
Next-Latent · 2025‑11 Next-Latent Prediction Transformers Learn Compact World Models |
Proposal-State Modeling [core] |
Chain [core] | Token-Level Exactness [core] |
-- |
|
|
SDSquare · 2025‑11 Steering Pretrained Drafters During Speculative Decoding |
Autoregressive External Drafter [core] |
Chain [inherited] | Distribution-Level Exactness [inherited] |
Speculation Control [inherited] |
|
|
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] | |
|
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] |
|
|
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] | |
|
3-Model · 2025‑10 3-Model Speculative Decoding |
Autoregressive External Drafter [core] |
Chain [core] | Relaxed Acceptance [core] |
Speculation Control [core] Performance Analysis [core] |
|
|
AdaSPEC · 2025‑10 AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders |
Autoregressive External Drafter [core] |
Chain [core] | Token-Level Exactness [core] |
-- |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
Disparate Impacts · 2025‑10 The Disparate Impacts of Speculative Decoding |
Autoregressive External Drafter [core] |
Chain [core] | Distribution-Level Exactness [core] |
Performance Analysis [core] | |
|
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] |
-- | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
TokenTiming · 2025‑10 TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs |
Autoregressive External Drafter [core] |
Chain [core] | Distribution-Level Exactness [core] |
-- | |
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] | |
|
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] | |
|
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] |
-- |
|
|
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] | |
|
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] | |
|
ResDecode · 2025‑08 ResDecode: Accelerating Large Language Models Inference via Residual Decoding Heads |
Proposal-State Modeling [core] |
Tree [core] | Distribution-Level Exactness [core] |
-- |
|
|
SSD (Safety-Aware) · 2025‑08 Speculative Safety-Aware Decoding |
Autoregressive External Drafter [inherited] |
Chain [inherited] | Relaxed Acceptance [core] |
Speculation Control [core] |
|
|
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] |
-- |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
HVT · 2025‑07 Hierarchical Verification of Speculative Beams for Accelerating LLM Inference |
Autoregressive External Drafter [inherited] |
Tree [core] | -- | Speculation Control [core] | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
-- | |
|
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] |
|
|
Mamba · 2025‑06 Mamba Drafters for Speculative Decoding |
Autoregressive External Drafter [core] |
Tree [core] | Distribution-Level Exactness [core] |
-- | |
|
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] | |
|
POSS · 2025‑06 POSS: Position Specialist Generates Better Draft for Speculative Decoding |
Proposal-State Modeling [core] |
Tree [core] | Distribution-Level Exactness [core] |
-- |
|
|
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] |
-- | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
Alignment-Augmented · 2025‑05 Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification |
Context-Derived Nonparametric Source [core] |
Chain [core] | Relaxed Acceptance [core] |
-- | |
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
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] |
|
|
MTP Curriculum · 2025‑05 Pre-Training Curriculum for Multi-Token Prediction in Language Models |
Target-Feature Readout [core] |
Block [inherited] | Token-Level Exactness [inherited] |
-- |
|
|
PipeSpec · 2025‑05 PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding |
Autoregressive External Drafter [inherited] |
Chain [inherited] | Token-Level Exactness [inherited] |
Serving Systems [core] |
|
|
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] |
|
|
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] |
|
|
Traversal · 2025‑05 Traversal Verification for Speculative Tree Decoding |
Autoregressive External Drafter [inherited] Proposal-State Modeling [inherited] |
Tree [core] | Distribution-Level Exactness [core] |
-- | |
|
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] |
|
|
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] |
|
|
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] |
|
|
Exponential Races · 2025‑04 Speculative Sampling via Exponential Races |
Autoregressive External Drafter [core] |
Tree [core] | Distribution-Level Exactness [core] |
-- | |
|
Hierarchical · 2025‑04 Hierarchical Speculative Decoding with Dynamic Window |
Autoregressive External Drafter [core] |
Chain [core] | Distribution-Level Exactness [core] |
Speculation Control [core] | |
|
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] |
-- |
|
|
SD$^2$ · 2025‑04 SD$^2$: Self-Distilled Sparse Drafters |
Autoregressive External Drafter [core] |
Chain [core] | Token-Level Exactness [core] |
-- | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
-- | |
|
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] |
|
|
Dynamic Adjustment · 2025‑03 Improving Speculative Decoding with Dynamic Adjustment and Probability Smoothing |
Autoregressive External Drafter [core] |
Collection [core] | Distribution-Level Exactness [core] |
-- | |
|
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] |
|
|
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] |
|
|
Multi-Sample SD · 2025‑03 Speculative Decoding for Multi-Sample Inference |
Context-Derived Nonparametric Source [core] |
Collection [core] | Distribution-Level Exactness [core] |
-- | |
|
RASD · 2025‑03 RASD: Retrieval-Augmented Speculative Decoding |
Proposal-State Modeling [inherited] Context-Derived Nonparametric Source [core] |
Tree [core] | Distribution-Level Exactness [core] |
-- | |
|
vLLM SpecInfer · 2025‑03 Speculative Inference with vLLM: Optimizing Heterogeneous Computing in Training-Inference Integrated Environments |
-- | Chain [inherited] | -- | Serving Systems [core] | |
|
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] |
-- |
|
|
DReSD · 2025‑02 DReSD: Dense Retrieval for Speculative Decoding |
Context-Derived Nonparametric Source [core] |
Chain [core] Collection [core] |
Token-Level Exactness [core] |
-- |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
GRIFFIN · 2025‑02 GRIFFIN: Effective Token Alignment for Faster Speculative Decoding |
Proposal-State Modeling [core] |
Tree [core] | Token-Level Exactness [core] |
-- |
|
|
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] |
|
|
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] |
|
|
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] |
-- | |
|
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] |
|
|
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] |
|
|
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] | |
|
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] | |
|
RSD · 2025‑01 Reward-Guided Speculative Decoding for Efficient LLM Reasoning |
Autoregressive External Drafter [inherited] |
Chain [core] | Relaxed Acceptance [core] |
Speculation Control [core] |
|
|
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] |
-- | |
|
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] |
-- | |
|
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] |
|
|
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] |
-- | |
|
PLD+ · 2024‑12 PLD+: Accelerating LLM inference by leveraging Language Model Artifacts |
Context-Derived Nonparametric Source [core] |
Chain [core] | Token-Level Exactness [core] |
-- | |
|
FastDraft · 2024‑11 FastDraft: How to Train Your Draft |
Autoregressive External Drafter [core] |
Chain [core] | Token-Level Exactness [core] |
-- | |
|
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] |
|
|
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] | |
|
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] |
-- |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
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] |
|
|
Theoretical · 2024‑11 A Theoretical Perspective for Speculative Decoding Algorithm |
Autoregressive External Drafter [inherited] |
Chain [inherited] | Bounded Approximation [core] |
Performance Analysis [core] | |
|
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] |
|
|
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] | |
|
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] | |
|
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] |
|
|
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] | |
|
Multi-Draft · 2024‑10 Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits |
Autoregressive External Drafter [inherited] |
Collection [core] | Distribution-Level Exactness [core] |
-- | |
|
ParallelSpec · 2024‑10 ParallelSpec: Parallel Drafter for Efficient Speculative Decoding |
Non-Autoregressive External Drafter [core] |
Block [core] Tree [core] |
Distribution-Level Exactness [core] |
-- | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] | |
|
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] | |
|
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] | |
|
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] |
|
|
DISD · 2024‑08 Coupling Without Communication and Drafter-Invariant Speculative Decoding |
Autoregressive External Drafter [inherited] |
Collection [inherited] | Distribution-Level Exactness [core] |
-- |
|
|
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] |
|
|
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] |
-- | |
|
Harmonized Repr. · 2024‑08 Learning Harmonized Representations for Speculative Sampling |
Proposal-State Modeling [core] |
Tree [core] | Distribution-Level Exactness [core] |
-- | |
|
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] |
-- | |
|
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] |
-- |
|
|
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] |
|
|
SCD · 2024‑08 Speculative Contrastive Decoding |
Autoregressive External Drafter [inherited] |
Chain [inherited] | Relaxed Acceptance [core] |
Performance Analysis [core] | |
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
-- | |
|
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] |
|
|
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] |
|
|
GenZ · 2024‑06 Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models |
Autoregressive External Drafter [inherited] |
Chain [inherited] | -- | Performance Analysis [core] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
-- | |
|
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] | |
|
How Speculative · 2024‑05 How Speculative Can Speculative Decoding Be? |
Autoregressive External Drafter [inherited] |
Chain [inherited] | Distribution-Level Exactness [inherited] |
Performance Analysis [core] |
|
|
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] | |
|
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] |
|
|
SpecDec++ · 2024‑05 SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths |
Autoregressive External Drafter [core] |
Chain [core] | Distribution-Level Exactness [core] |
Speculation Control [core] | |
|
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] | |
|
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] |
|
|
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] |
-- | |
|
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] |
-- | |
|
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] |
|
|
Block Verification · 2024‑03 Block Verification Accelerates Speculative Decoding |
Autoregressive External Drafter [inherited] |
Block [core] | Distribution-Level Exactness [core] |
-- | |
|
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] |
-- | |
|
Recurrent · 2024‑03 Recurrent Drafter for Fast Speculative Decoding in Large Language Models |
Proposal-State Modeling [core] |
Chain [core] | Token-Level Exactness [core] |
-- |
|
|
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] |
|
|
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] | |
|
Decoding · 2024‑02 Decoding Speculative Decoding |
Autoregressive External Drafter [inherited] |
Chain [inherited] | Distribution-Level Exactness [inherited] |
Performance Analysis [core] | |
|
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] |
|
|
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] |
|
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
|
|
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] |
-- | |
|
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] |
|
|
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] | |
|
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] |
|
|
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] |
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Multi-Candidate · 2024‑01 Multi-Candidate Speculative Decoding |
Autoregressive External Drafter [core] |
Collection [core] Tree [core] |
Distribution-Level Exactness [core] |
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PaSS · 2023‑11 PaSS: Parallel Speculative Sampling |
Target-Path Execution [core] |
Block [core] | Distribution-Level Exactness [core] |
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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] |
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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] |
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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] | |
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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] |
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SpecTr · 2023‑10 SpecTr: Fast Speculative Decoding via Optimal Transport |
Autoregressive External Drafter [inherited] |
Tree [core] Collection [core] |
Distribution-Level Exactness [core] |
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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] |
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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] |
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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] |
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Big-Little Decoder · 2023‑02 Speculative Decoding with Big Little Decoder |
Autoregressive External Drafter [core] |
Chain [core] | Relaxed Acceptance [core] |
Speculation Control [core] |
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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] | |
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Speculative Decoding · 2022‑11 Fast Inference from Transformers via Speculative Decoding |
Autoregressive External Drafter [core] |
Chain [core] | Distribution-Level Exactness [core] |
Speculation Control [core] | |
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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] |
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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] |
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