Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Fuente:
arXiv
Saved in:
| Main Authors: | Cai, Tianle, Li, Yuhong, Geng, Zhengyang, Peng, Hongwu, Lee, Jason D., Chen, Deming, Dao, Tri |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BitDelta: Your Fine-Tune May Only Be Worth One Bit
by: Liu, James, et al.
Published: (2024)
by: Liu, James, et al.
Published: (2024)
Hardware-Efficient Attention for Fast Decoding
by: Zadouri, Ted, et al.
Published: (2025)
by: Zadouri, Ted, et al.
Published: (2025)
REST: Retrieval-Based Speculative Decoding
by: He, Zhenyu, et al.
Published: (2023)
by: He, Zhenyu, et al.
Published: (2023)
New Solutions on LLM Acceleration, Optimization, and Application
by: Huang, Yingbing, et al.
Published: (2024)
by: Huang, Yingbing, et al.
Published: (2024)
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
by: Chen, Hao Mark, et al.
Published: (2024)
by: Chen, Hao Mark, et al.
Published: (2024)
Progressive Mixed-Precision Decoding for Efficient LLM Inference
by: Chen, Hao Mark, et al.
Published: (2024)
by: Chen, Hao Mark, et al.
Published: (2024)
LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding
by: Lin, Gang, et al.
Published: (2026)
by: Lin, Gang, et al.
Published: (2026)
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding
by: Ankner, Zachary, et al.
Published: (2024)
by: Ankner, Zachary, et al.
Published: (2024)
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
by: Wen, Zhuofan, et al.
Published: (2024)
by: Wen, Zhuofan, et al.
Published: (2024)
Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
by: Timor, Nadav, et al.
Published: (2025)
by: Timor, Nadav, et al.
Published: (2025)
Optimized Multi-Token Joint Decoding with Auxiliary Model for LLM Inference
by: Qin, Zongyue, et al.
Published: (2024)
by: Qin, Zongyue, et al.
Published: (2024)
CHAI: Clustered Head Attention for Efficient LLM Inference
by: Agarwal, Saurabh, et al.
Published: (2024)
by: Agarwal, Saurabh, et al.
Published: (2024)
Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency
by: Li, Ruixiao, et al.
Published: (2025)
by: Li, Ruixiao, et al.
Published: (2025)
Acceleration Multiple Heads Decoding for LLM via Dynamic Tree Attention
by: Zhang, Zhendong
Published: (2025)
by: Zhang, Zhendong
Published: (2025)
Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
by: Su, Zhengyang, et al.
Published: (2026)
by: Su, Zhengyang, et al.
Published: (2026)
SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding
by: Plaksin, Anton, et al.
Published: (2026)
by: Plaksin, Anton, et al.
Published: (2026)
SnapKV: LLM Knows What You are Looking for Before Generation
by: Li, Yuhong, et al.
Published: (2024)
by: Li, Yuhong, et al.
Published: (2024)
Reward Collapse in Aligning Large Language Models
by: Song, Ziang, et al.
Published: (2023)
by: Song, Ziang, et al.
Published: (2023)
Diagnosing Training Inference Mismatch in LLM Reinforcement Learning
by: Zhong, Tianle, et al.
Published: (2026)
by: Zhong, Tianle, et al.
Published: (2026)
Accelerating Transformer Inference for Translation via Parallel Decoding
by: Santilli, Andrea, et al.
Published: (2023)
by: Santilli, Andrea, et al.
Published: (2023)
Spiffy: Multiplying Diffusion LLM Acceleration via Lossless Speculative Decoding
by: Agrawal, Sudhanshu, et al.
Published: (2025)
by: Agrawal, Sudhanshu, et al.
Published: (2025)
Speculative Speculative Decoding
by: Kumar, Tanishq, et al.
Published: (2026)
by: Kumar, Tanishq, et al.
Published: (2026)
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
by: Fu, Yichao, et al.
Published: (2024)
by: Fu, Yichao, et al.
Published: (2024)
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
by: Liu, Di, et al.
Published: (2024)
by: Liu, Di, et al.
Published: (2024)
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass
by: Shen, Ethan, et al.
Published: (2024)
by: Shen, Ethan, et al.
Published: (2024)
Ltri-LLM: Streaming Long Context Inference for LLMs with Training-Free Dynamic Triangular Attention Pattern
by: Tang, Hongyin, et al.
Published: (2024)
by: Tang, Hongyin, et al.
Published: (2024)
Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding
by: Yang, Seongjun, et al.
Published: (2023)
by: Yang, Seongjun, et al.
Published: (2023)
AttnCache: Accelerating Self-Attention Inference for LLM Prefill via Attention Cache
by: Song, Dinghong, et al.
Published: (2025)
by: Song, Dinghong, et al.
Published: (2025)
Research on Multi-hop Inference Optimization of LLM Based on MQUAKE Framework
by: Liang, Zucheng, et al.
Published: (2025)
by: Liang, Zucheng, et al.
Published: (2025)
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
by: Li, Zeping, et al.
Published: (2024)
by: Li, Zeping, et al.
Published: (2024)
SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
by: Xia, Heming, et al.
Published: (2024)
by: Xia, Heming, et al.
Published: (2024)
AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration
by: McDanel, Bradley
Published: (2024)
by: McDanel, Bradley
Published: (2024)
Mistletoe: Stealthy Acceleration-Collapse Attacks on Speculative Decoding
by: Sun, Shuoyang, et al.
Published: (2026)
by: Sun, Shuoyang, et al.
Published: (2026)
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
by: Sun, Hanshi, et al.
Published: (2024)
by: Sun, Hanshi, et al.
Published: (2024)
HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
by: Kumar, Avinash, et al.
Published: (2025)
by: Kumar, Avinash, et al.
Published: (2025)
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding
by: Yi, Hanling, et al.
Published: (2024)
by: Yi, Hanling, et al.
Published: (2024)
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
by: Shu, Dong, et al.
Published: (2024)
by: Shu, Dong, et al.
Published: (2024)
Learning to Decode Collaboratively with Multiple Language Models
by: Shen, Shannon Zejiang, et al.
Published: (2024)
by: Shen, Shannon Zejiang, et al.
Published: (2024)
FlashDecoding++: Faster Large Language Model Inference on GPUs
by: Hong, Ke, et al.
Published: (2023)
by: Hong, Ke, et al.
Published: (2023)
TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly
by: Koike-Akino, Toshiaki, et al.
Published: (2026)
by: Koike-Akino, Toshiaki, et al.
Published: (2026)
Similar Items
-
BitDelta: Your Fine-Tune May Only Be Worth One Bit
by: Liu, James, et al.
Published: (2024) -
Hardware-Efficient Attention for Fast Decoding
by: Zadouri, Ted, et al.
Published: (2025) -
REST: Retrieval-Based Speculative Decoding
by: He, Zhenyu, et al.
Published: (2023) -
New Solutions on LLM Acceleration, Optimization, and Application
by: Huang, Yingbing, et al.
Published: (2024) -
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
by: Chen, Hao Mark, et al.
Published: (2024)