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This repository contains a regularly updated paper list for Speculative Decoding.

• Keywords Convention
• Papers
  • Survey
  • Speculative Decoding for Seq2Seq
  • Speculative Decoding for LLMs
  • Multimodal Speculative Decoding
  • Long-Context Speculative Decoding
  • Alignment
  • Benchmarks
  • Applications
  • Analysis
• Blogs
• Contribution
  • Contributors
  • Contributing to this paper list
• Citation

Abbreviation

Conference

Drafting Methods in Speculative Decoding

Main Features

• Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding
  Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui. [pdf], [code], 2024.01.
• Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Models
  Chen Zhang, Zhuorui Liu, Dawei Song. [pdf], 2024.04.

• Blockwise Parallel Decoding for Deep Autoregressive Models
  Mitchell Stern, Noam Shazeer, Jakob Uszkoreit. [pdf], 2018.11.

• Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation
  Heming Xia, Tao Ge, Peiyi Wang, Si-Qing Chen, Furu Wei, Zhifang Sui. [pdf], [code], 2022.03.

• Speculative Decoding with Big Little Decoder
  Sehoon Kim, Karttikeya Mangalam, Suhong Moon, John Canny, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer. [pdf], [code], 2023.02.

• Accelerating Transformer Inference for Translation via Parallel Decoding
  Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà. [pdf], 2023.05.

• SPEED: Speculative Pipelined Execution for Efficient Decoding
  Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Hasan Genc, Kurt Keutzer, Amir Gholami, Sophia Shao. [pdf], 2023.10.

• Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding
  Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun. [pdf], [code], 2023.10.

• Fast Inference from Transformers via Speculative Decoding
  Yaniv Leviathan, Matan Kalman, Yossi Matias. [pdf], 2022.11.
• Accelerating Large Language Model Decoding with Speculative Sampling
  Charlie Chen, Sebastian Borgeaud, Geoffrey Irving, Jean-Baptiste Lespiau, Laurent Sifre, John Jumper. [pdf], 2023.02.
• Inference with Reference: Lossless Acceleration of Large Language Models
  Nan Yang, Tao Ge, Liang Wang, Binxing Jiao, Daxin Jiang, Linjun Yang, Rangan Majumder, Furu Wei. [pdf], 2023.04.
• SpecInfer: Accelerating Generative LLM Serving with Speculative Inference and Token Tree Verification
  Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Zeyu Wang, Rae Ying Yee Wong, Alan Zhu, Lijie Yang, Xiaoxiang Shi, Chunan Shi, Zhuoming Chen, Daiyaan Arfeen, Reyna Abhyankar, Zhihao Jia. [pdf], [code], 2023.05.
• Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding
  Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris Papailiopoulos, Kangwook Lee. [pdf], 2023.08.
• Accelerating LLM Inference with Staged Speculative Decoding
  Benjamin Spector, Chris Re. [pdf], 2023.08.
• SpecTr: Fast Speculative Decoding via Optimal Transport
  Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu, Michael Riley, Sanjiv Kumar. [pdf], 2023.08.
• Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
  Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra. [pdf], [code], 2023.09.
• Online Speculative Decoding
  Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Ion Stoica, Zhijie Deng, Alvin Cheung, Hao Zhang. [pdf], 2023.10.
• DistillSpec: Improving Speculative Decoding via Knowledge Distillation
  Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat, Aditya Krishna Menon, Afshin Rostamizadeh, Sanjiv Kumar, Jean-François Kagy, Rishabh Agarwal. [pdf], 2023.10.
• REST: Retrieval-Based Speculative Decoding
  Zhenyu He, Zexuan Zhong, Tianle Cai, Jason D Lee, Di He. [pdf], [code], 2023.11.
• Speculative Contrastive Decoding
  Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou. [pdf], 2023.11.
• PaSS: Parallel Speculative Sampling
  Giovanni Monea, Armand Joulin, Edouard Grave. [pdf], 2023.11.
• Cascade Speculative Drafting for Even Faster LLM Inference
  Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Jie Huang, Kevin Chen-Chuan Chang. [pdf], 2023.12.
• SLiM: Speculative Decoding with Hypothesis Reduction
  Anonymous ARR submission. [pdf], 2023.12.
• Graph-Structured Speculative Decoding
  Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan. [pdf], 2023.12.
• Multi-Candidate Speculative Decoding
  Sen Yang, Shujian Huang, Xinyu Dai, Jiajun Chen. [pdf], [code], 2024.01.
• Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
  Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao. [pdf], [code], 2024.01.
• BiTA: Bi-Directional Tuning for Lossless Acceleration in Large Language Models
  Feng Lin, Hanling Yi, Hongbin Li, Yifan Yang, Xiaotian Yu, Guangming Lu, Rong Xiao. [pdf], [code], 2024.01.
• EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
  Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang. [pdf], [code], 2024.01.
• GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
  Cunxiao Du, Jing Jiang, Xu Yuanchen, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You. [pdf], 2024.02.
• Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang. [pdf], [code], 2024.02.
• Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding
  Zachary Ankner, Rishab Parthasarathy, Aniruddha Nrusimha, Christopher Rinard, Jonathan Ragan-Kelley, William Brandon. [pdf], [code], 2024.02.
• Speculative Streaming: Fast LLM Inference without Auxiliary Models
  Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi. [pdf], 2024.02.
• Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding
  Hanling Yi, Feng Lin, Hongbin Li, Peiyang Ning, Xiaotian Yu, Rong Xiao. [pdf], 2024.02.
• Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding
  Zhuoming Chen, Avner May, Ruslan Svirschevski, Yuhsun Huang, Max Ryabinin, Zhihao Jia, Beidi Chen. [pdf], [code], 2024.02.
• ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding
  Shuzhang Zhong, Zebin Yang, Meng Li, Ruihao Gong, Runsheng Wang, Ru Huang. [pdf], 2024.02.
• Ouroboros: Speculative Decoding with Large Model Enhanced Drafting
  Weilin Zhao, Yuxiang Huang, Xu Han, Chaojun Xiao, Zhiyuan Liu, Maosong Sun. [pdf], [code], 2024.02.
• Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement
  Wonseok Jeon, Mukul Gagrani, Raghavv Goel, Junyoung Park, Mingu Lee, Christopher Lott. [pdf], 2024.02.
• Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens
  Ziqian Zeng, Jiahong Yu, Qianshi Pang, Zihao Wang, Huiping Zhuang, Cen Chen. [pdf], 2024.02.
• Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism
  Anonymous ACL submission. [pdf], 2024.02.
• Specuna: A Speculative Vicuna with Shallow Layer Reuse
  Anonymous ACL submission. [pdf], 2024.02.
• Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration
  Anonymous ACL submission. [pdf], 2024.02.
• Minions: Accelerating Large Language Model Inference with Adaptive and Collective Speculative Decoding
  Siqi Wang, Hailong Yang, Xuezhu Wang, Tongxuan Liu, Pengbo Wang, Xuning Liang, Kejie Ma, Tianyu Feng, Xin You, Yongjun Bao, Yi Liu, Zhongzhi Luan, Depei Qian. [pdf], 2024.02.
• CLLMs: Consistency Large Language Models
  Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang. [pdf], [code], [blog], 2024.03.
• Recurrent Drafter for Fast Speculative Decoding in Large Language Models
  Aonan Zhang, Chong Wang, Yi Wang, Xuanyu Zhang, Yunfei Cheng. [pdf], 2024.03.
• Optimal Block-Level Draft Verification for Accelerating Speculative Decoding
  Ziteng Sun, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh. [pdf], 2024.03.
• SDSAT: Accelerating LLM Inference through Speculative Decoding with Semantic Adaptive Tokens
  Chengbo Liu, Yong Zhu. [pdf], 2024.03.
• Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding
  Jie Ou, Yueming Chen, Wenhong Tian. [pdf], 2024.04.
• Towards Fast Inference: Exploring and Improving Blockwise Parallel Drafts
  Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael Riley, Sanjiv Kumar, Adrian Benton. [pdf], 2024.04.
• Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration
  Pengfei Wu, Jiahao Liu, Zhuocheng Gong, Qifan Wang, Jinpeng Li, Jingang Wang, Xunliang Cai, Dongyan Zhao. [pdf], 2024.04.
• BASS: Batched Attention-optimized Speculative Sampling
  Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras. [pdf], 2024.04.
• Layer Skip: Enabling Early Exit Inference and Self-Speculative Decoding
  Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu. [pdf], 2024.04.
• Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting
  Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang. [pdf], 2024.04.
• Accelerating Production LLMs with Combined Token/Embedding Speculators
  Davis Wertheimer, Joshua Rosenkranz, Thomas Parnell, Sahil Suneja, Pavithra Ranganathan, Raghu Ganti, Mudhakar Srivatsa. [pdf], 2024.04.
• Better & Faster Large Language Models via Multi-token Prediction
  Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Rozière, David Lopez-Paz, Gabriel Synnaeve. [pdf], 2024.04.
• Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge
  Bin Xiao, Chunan Shi, Xiaonan Nie, Fan Yang, Xiangwei Deng, Lei Su, Weipeng Chen, Bin Cui. [pdf], 2024.05.
• Accelerating Speculative Decoding using Dynamic Speculation Length
  Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz. [pdf], 2024.05.
• EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models
  Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang. [pdf], [code], 2024.05.

• On Speculative Decoding for Multimodal Large Language Models
  Mukul Gagrani, Raghavv Goel, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott. [pdf], 2024.04.

• TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
  Hanshi Sun, Zhuoming Chen, Xinyu Yang, Yuandong Tian, Beidi Chen. [pdf], 2024.04.

• Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs
  Raghavv Goel, Mukul Gagrani, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott. [pdf], 2024.02.

• Spec-Bench: A Comprehensive Benchmark for Speculative Decoding
  Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui. [pdf], [code], [blog], 2024.02.

• Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding
  Xin Sun, Tao Ge, Furu Wei, Houfeng Wang. [pdf], [code], 2021.07.
• LLMCad: Fast and Scalable On-device Large Language Model Inference
  Daliang Xu, Wangsong Yin, Xin Jin, Ying Zhang, Shiyun Wei, Mengwei Xu, Xuanzhe Liu. [pdf], 2023.09.
• Accelerating Retrieval-Augmented Language Model Serving with Speculation
  Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia. [pdf], 2023.10.
• Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy
  Yao Zhao, Zhitian Xie, Chenyi Zhuang, Jinjie Gu. [pdf], [code], 2023.12.
• A Simple Framework to Accelerate Multilingual Language Model for Monolingual Text Generation
  Jimin Hong, Gibbeum Lee, Jaewoong Cho. [pdf], 2024.01.
• Accelerating Greedy Coordinate Gradient via Probe Sampling
  Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh. [pdf], 2024.03.

• The Synergy of Speculative Decoding and Batching in Serving Large Language Models
  Qidong Su, Christina Giannoula, Gennady Pekhimenko. [pdf], 2023.10.

• Decoding Speculative Decoding
  Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman. [pdf], 2024.02.

Assisted Generation: a new direction toward low-latency text generation. Huggingface. 2023.05. [Blog] [Code]

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads. Princeton, UIUC. 2023.09. [Blog] [Code]

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. LMSys. 2023.11. [Blog] [Code]

Accelerating Generative AI with PyTorch II: GPT, Fast. Pytorch. 2023.11. [Blog] [Code]

Prompt Lookup Decoding. Apoorv Saxena. 2023.11. [Code] [Colab]

REST: Retrieval-Based Speculative Decoding. Peking University, Princeton University. 2023.11. [Blog] [Code]

EAGLE: Lossless Acceleration of LLM Decoding by Feature Extrapolation. Vector Institute, University of Waterloo, Peking University. 2023.12. [Blog] [Code]

SEQUOIA: Serving exact Llama2-70B on an RTX4090 with half-second per token latency. Carnegie Mellon University, Together AI, Yandex, Meta AI. 2024.02. [Blog] [Code]

• There are cases where we miss important works in this field, please feel free to contribute and promote your awesome work or other related works here! Thanks for the efforts in advance.

If you find the resources in this repository useful, please cite our paper:

@misc{xia2024unlocking,
      title={Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding}, 
      author={Heming Xia and Zhe Yang and Qingxiu Dong and Peiyi Wang and Yongqi Li and Tao Ge and Tianyu Liu and Wenjie Li and Zhifang Sui},
      year={2024},
      eprint={2401.07851},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}