speculative rag - Servistopauto リップル https://servistopauto.ru/ ru Speculative decoding reimagined for multimodal large language models (97) 사진 https://servistopauto.ru/speculative-rag/3176-Speculative-decoding-reimagined-for-multimodal-large-language-models-97-sajin.html https://servistopauto.ru/speculative-rag/3176-Speculative-decoding-reimagined-for-multimodal-large-language-models-97-sajin.html 3176 Thu, 19 Feb 2026 20:32:27 +0300 native-yes Energy-based transformer models for improved reasoning

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论文评述] HiViS: Hiding Visual Tokens from the Drafter for Speculative Decoding in Vision-Language Models

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HiViS: Hiding Visual Tokens from the Drafter for Speculative Decoding in Vision-Language Models

Literature Review] Speculative Decoding Reimagined for Multimodal Large Language Models

]]> Speculative decoding 原理 (97) 사진 https://servistopauto.ru/speculative-rag/3177-Speculative-decoding-Yuan-Li-97-sajin.html https://servistopauto.ru/speculative-rag/3177-Speculative-decoding-Yuan-Li-97-sajin.html 3177 Thu, 19 Feb 2026 20:32:27 +0300 native-yes Speculative Decoding 推测解码方案详解本文系统介绍了从早期草稿模型方法、Prompt Lookup - 掘金

论文评述] Revisiting Judge Decoding from First Principles via Training-Free Distributional Divergence

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万字综述10+ 种LLM 投机采样推理加速方案- 53AI-AI知识库|企业AI知识库|大模型知识库|AIHub

苹果芯跑大模型不用降计算精度，投机采样杀疯了，GPT-4也在用-51CTO.COM

How Speculative Decoding Boosts vLLM Performance by up to 2.8x | vLLM Blog

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Speculative Decoding 推测解码方案详解本文系统介绍了从早期草稿模型方法、Prompt Lookup - 掘金

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Speculative Decoding 推测解码方案详解本文系统介绍了从早期草稿模型方法、Prompt Lookup - 掘金

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比EAGLE-3 快2.5 倍、Qwen3 推理加速6.17 倍！DFlash 如何利用扩散模型终结自回归瓶颈？

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愛好AI Engineer 電子報第19 期出刊囉～ 🚀 * **Speculative Decoding**：這是一種加速大型語言模型（LLM）生成內容的技術，通過預測tokens 的方式讓模型可以並行預測多個詞，從而大幅提高處理速度。其原理是給定部分預測

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万字综述10+ 种LLM 投机采样推理加速方案- 53AI-AI知识库|企业AI知识库|大模型知识库|AIHub

清楚有趣的說明·加速LLM 推理2~3 倍的技巧：Speculative Decoding 🤓

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论文详情

大模型推理加速-投机解码| Linsight

大模型推理加速-投机解码| Linsight

太神奇了！ OpenAI 這幾天釋出一個預測輸出（predicted output）功能，可以大幅增加我們的token 生成的速度！（飛快，是飛快！） （尤其我們的提示詞只是要將某個內容的部分內容被取代時，用它會有飛快的效果！ 不難想，就有點像是其他都不需要改變，已經快取起來了 ...

手撕LLM-Speculative Decoding】大模型迈向

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AdaEDL: Early Draft Stopping for Speculative Decoding of Large Language Models via an Entropy-based Lower Bound on Token Acceptance Probability

大语言模型推理加速技术综述：基于多硬件平台的系统性分析与性能评测，涵盖CPU、GPU、FPGA、ASIC和存算一体的全面解析-腾讯云开发者社区-腾讯云

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计算加速套件TACO Kit TACO LLM 推理加速引擎

LayerSkip：使用自推测解码加速大模型推理

]]> Speculative decoding (93) 사진 https://servistopauto.ru/speculative-rag/3178-Speculative-decoding-93-sajin.html https://servistopauto.ru/speculative-rag/3178-Speculative-decoding-93-sajin.html 3178 Thu, 19 Feb 2026 20:32:27 +0300 native-yes Generation at the Speed of Thought: Speculative Decoding

SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications | Gabriele Oliaro

Graph-Structured Speculative Decoding

Decisive guide on Speculative Decoding - Omkaar Kamath

Literature Review] Improving Multi-candidate Speculative Decoding

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Speculative Decoding: 3× Faster LLM Inference with Zero Quality Loss

Intel and Weizmann Institute Speed AI with Speculative Decoding Advance - Intel Newsroom

Speculative Decoding - Deep Dive — ROCm Blogs

🚀 Speculative Decoding: Making LLMs Think Faster Without Losing Accuracy

Speculative decoding :: SambaNova Documentation

NeurIPS Poster Sequoia: Scalable and Robust Speculative Decoding

An Introduction to Speculative Decoding for Reducing Latency in AI Inference | NVIDIA Technical Blog

Boosting LLM Inference Speed Using Speculative Decoding | by Het Trivedi | TDS Archive | Medium

SpecForge: Accelerating Speculative Decoding Training for SGLang | LMSYS Org

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This AI Paper Unveils the Potential of Speculative Decoding for Faster Large Language Model Inference: A Comprehensive Analysis - MarkTechPost

Blogs - Speculative Decoding

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Efficiently Serving LLMs (Part 3): How Speculative Decoding Boosts Decode Speed

An Introduction to Speculative Decoding for Reducing Latency in AI Inference | NVIDIA Technical Blog

How Speculative Decoding Boosts vLLM Performance by up to 2.8x | vLLM Blog

Speculative Decoding — Make LLM Inference Faster | Medium | AI Science

openvino_notebooks/notebooks/speculative-sampling/speculative-sampling.ipynb at latest · openvinotoolkit/openvino_notebooks · GitHub

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Will Speculative Decoding Harm LLM Inference Accuracy? - Novita

TensorRT-LLM Speculative Decoding Boosts Inference Throughput by up to 3.6x | NVIDIA Technical Blog

Speculative Decoding for LLM - by Bugra Akyildiz

CMU CSD PhD Blog - SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications

Speculative Decoding - philkrav

A Survey of Speculative Decoding Techniques in LLM Inference

Boosting LLM Inference Speed Using Speculative Decoding | by Het Trivedi | TDS Archive | Medium

Unlocking Efficiency: Speculative Decoding with Transferable Vocabulary Tool | by Minyang Chen | Medium

This is How Speculative Decoding Speeds the Model up : r/LocalLLaMA

Speculative decoding :: SambaNova Documentation

Accelerate LLM Inference with Speculative Decoding | Charles Xu

All You Need to Know About Speculative Decoding

How Speculative Decoding Boosts vLLM Performance by up to 2.8x | vLLM Blog

SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices

How Speculative Decoding Boosts vLLM Performance by up to 2.8x | vLLM Blog

Speculative decoding | LLM Inference Handbook

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Speculative Decoding - Tag | CLOVA

Doubleword | In the fast lane! Speculative decoding - 10x larger model, no extra cost

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Speculative Decoding but with Discrete Diffusion?! This paper SpecDiff-2 replaces the autoregressive drafter in speculative decoding with a discrete diffusion model that drafts whole token blocks in parallel in a few denoising

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CMU CSD PhD Blog - SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications

Speculative decoding |

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How Speculative Decoding Boosts vLLM Performance by up to 2.8x | vLLM Blog

Speculative Decoding for LLM - by Bugra Akyildiz

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Speculative decoding |

Faster AI without cutting corners. Speculative decoding is redefining how large language models generate text, combining speed, precision, and scalability. No architecture change. No accuracy loss. Just smarter inference. [LLMs, AIOptimization ...

Literature Review] Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference

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Speculative Sampling Trick for Large Language Model Decoding - VeryUnknown

Accelerate LLM Inference with Speculative Decoding | Charles Xu

Faster AI without cutting corners. Speculative decoding is redefining how large language models generate text, combining speed, precision, and scalability. No architecture change. No accuracy loss. Just smarter inference. [LLMs, AIOptimization ...

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SpecForge: Accelerating Speculative Decoding Training for SGLang | LMSYS Org

paper review] Unlocking Efficiency in Large Language Model Inference : A Comprehensive Survey of Speculative Decoding

Speculative Decoding and Self-Speculative Decoding: Faster Approaches to Large Language Model Generation | by Isaac Kargar | Medium

Speculative Decoding: Free Tokens Without Extra GPUs | by Hash Block | Medium

Speculative Decoding in vLLM: Complete Guide to Faster LLM Inference | Jarvislabs.ai Docs

Speculative Decoding in vLLM: Complete Guide to Faster LLM Inference | Jarvislabs.ai Docs

]]> Speculative diffusion decoding accelerating language generation through diffusion (97) 사진 https://servistopauto.ru/speculative-rag/3179-Speculative-diffusion-decoding-accelerating-language-generation-through-diffusion-97-sajin.html https://servistopauto.ru/speculative-rag/3179-Speculative-diffusion-decoding-accelerating-language-generation-through-diffusion-97-sajin.html 3179 Thu, 19 Feb 2026 20:32:27 +0300 native-yes Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall (KAIST, October 2025) Paper: [https://arxiv.org/abs/2510.19304](https://arxiv.org/abs/2510.19304) Abstract:

论文评述] Diffusion Language Models Know the Answer Before Decoding

论文评述] Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States

Literature Review] FLASH: Latent-Aware Semi-Autoregressive Speculative Decoding for Multimodal Tasks

Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions | Artificial Intelligence Review

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Awesome-Efficient-LLM/inference_acceleration.md at main · horseee/Awesome-Efficient-LLM · GitHub

HeteroLLM: Accelerating Large Language Model Inference on Mobile SoCs with Heterogeneous AI Accelerators[v1] | Preprints.org

Important LLM Papers for the Week From 12/05 to 18/05 | by Youssef Hosni | Level Up Coding

2024년 8월 14일 - by Kim Seonghyeon - arXiv Daily

Paper page - Set Block Decoding is a Language Model Inference Accelerator

Accelerating LLM inference with speculative decoding

Literature Review] Polybasic Speculative Decoding Through a Theoretical Perspective

Judge Decoding Faster Spe | PDF | Learning | Applied Mathematics

Researchers from Snowflake and CMU Introduce SuffixDecoding: A Novel Model-Free Approach to Accelerating Large Language Model (LLM) Inference through Speculative Decoding - MarkTechPost

Speculative Decoding and Self-Speculative Decoding: Faster Approaches to Large Language Model Generation | by Isaac Kargar | Medium

Nando Fioretto (✈️ @NeurIPS) (@nandofioretto) / Posts / X

PDF) Accelerating Large Language Model Decoding with Speculative Sampling

Blog | LMSYS Org

ENLSP NeurIPS Workshop 2024 | ENLSP highlights some fundamental problems in NLP and speech processing related to efficiency of the models, training and inference for the general ML and DL communities.

PDF) Diffusion-based Large Language Models Survey

Speculative Decoding and Self-Speculative Decoding: Faster Approaches to Large Language Model Generation | by Isaac Kargar | Medium

Speculative Decoding in vLLM: Complete Guide to Faster LLM Inference | Jarvislabs.ai Docs

Accelerated Diffusion Models via Speculative Sampling

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Important LLM Papers for the Week From 10/11 To 16/11 | by Youssef Hosni | Dec, 2025 | Towards AI

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

Bridging the Parallel Decoding of LLMs with the Diffusion Process | ICLR Blogposts 2025

Accelerating LLM inference with speculative decoding

ICML Poster Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models

Edge AI LLM | Efficient On-Device Language | Qualcomm

Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion

Apple Introduces DiffuCoder: A 7B Diffusion LLM Tailored for Code Generation - MarkTechPost

Awesome-Efficient-LLM/inference_acceleration.md at main · horseee/Awesome-Efficient-LLM · GitHub

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

Nando Fioretto (✈️ @NeurIPS) (@nandofioretto) / Posts / X

Accelerated Diffusion Models via Speculative Sampling

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

JUDGE DECODING: FASTER SPECULATIVE SAMPLING REQUIRES GOING BEYOND MODEL ALIGNMENT

Bridging the Parallel Decoding of LLMs with the Diffusion Process | ICLR Blogposts 2025

Failfast Advances Speculative Decoding, Leveraging Diffusion LLMs For Efficient Parallel Generation

CDLM: Consistency Diffusion Language Models For Faster Sampling

JUDGE DECODING: FASTER SPECULATIVE SAMPLING REQUIRES GOING BEYOND MODEL ALIGNMENT

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

NeurIPS Poster Accelerating Diffusion LLMs via Adaptive Parallel Decoding

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices

Discovering Mathematical Equations with Diffusion Language Model

Accelerating LLM inference with speculative decoding

Researchers at CMU Introduce TriForce: A Hierarchical Speculative Decoding AI System that is Scalable to Long Sequence Generation - MarkTechPost

The Mamba in the Llama: Accelerating Inference with Speculative Decoding - MarkTechPost

A Unified and Resource-Aware Framework for Adaptive Inference Acceleration on Edge and Embedded Platforms

CSC 412: Probabilistic Learning and Reasoning - Week 12: Speculative Decoding & Diffusion Models

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

JUDGE DECODING: FASTER SPECULATIVE SAMPLING REQUIRES GOING BEYOND MODEL ALIGNMENT

ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding (Renmin University of China & Ant Group, December 2025) Paper: [https://arxiv.org/abs/2512.13586](https://arxiv.org/abs/2512.13586) Abstract:

Important LLM Papers for the Week From 12/05 to 18/05 | by Youssef Hosni | Level Up Coding

Awesome-Efficient-LLM/inference_acceleration.md at main · horseee/Awesome-Efficient-LLM · GitHub

TensorRT-LLM Speculative Decoding Boosts Inference Throughput by up to 3.6x | NVIDIA Technical Blog

ICML Poster Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models

Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices

Institute for AI Industry Research & ByteDance Seed have released Seed Diffusion Preview, a diffusion-based #LLM with code reasoning speeds of up to 2,146 tokens per second. This #InnovativeTsinghua achievement offers significant

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Accelerated Diffusion Models via Speculative Sampling

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Speculative Decoding and Self-Speculative Decoding: Faster Approaches to Large Language Model Generation | by Isaac Kargar | Medium

This AI Paper Unveils the Potential of Speculative Decoding for Faster Large Language Model Inference: A Comprehensive Analysis - MarkTechPost

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JUDGE DECODING: FASTER SPECULATIVE SAMPLING REQUIRES GOING BEYOND MODEL ALIGNMENT

Literature Review] SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation

Edge AI LLM | Efficient On-Device Language | Qualcomm

NeurIPS Speculative Diffusion Decoding for Accelerated Language Generation

Daily Papers - Hugging Face

HeteroLLM: Accelerating Large Language Model Inference on Mobile SoCs with Heterogeneous AI Accelerators[v1] | Preprints.org

Papers by Jacob K Christopher

Diffusion-based Large Language Models Survey

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices

Speculative Decoding and Self-Speculative Decoding: Faster Approaches to Large Language Model Generation | by Isaac Kargar | Medium

🥇Top AI Papers of the Week - AI Newsletter

CSC 412: Probabilistic Learning and Reasoning - Week 12: Speculative Decoding & Diffusion Models

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices

ICML Poster Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models

Paper page - Planned Diffusion

Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion

论文评述] Diffusion Language Models Know the Answer Before Decoding

Literature Review] Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion

NeurIPS Poster ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification

Hyper-Bagel: Accelerating Multimodal Models

Accelerating LLM inference with speculative decoding

Consistency Large Language Models: A Family of Efficient Parallel Decoders | Hao AI Lab @ UCSD

Researchers from UCI and Zhejiang University Introduce Lossless Large Language Model Acceleration via Self-Speculative Decoding Using Drafting And Verifying Stages - MarkTechPost

Accelerated Diffusion Models via Speculative Sampling

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