Servistopauto リップル » speculative rag » Speculative diffusion decoding accelerating language generation through diffusion (97) 사진

Speculative diffusion decoding accelerating language generation through diffusion (97) 사진

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

🥇Top AI Papers of the Week - AI Newsletter

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

🥇Top AI Papers of the Week - AI Newsletter

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

Blog | LMSYS Org

🥇Top AI Papers of the Week - AI Newsletter

Accelerated Diffusion Models via Speculative Sampling

Automatic Task Detection and Heterogeneous LLM Speculative Decoding

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

🥇Top AI Papers of the Week - AI Newsletter

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

19 февраль 0 0

speculative rag