Speculative Decoding with Big Little Decoder

Speculative Decoding with Big Little Decoder

15 February 2023

Sehoon Kim

Suhong Moon

Michael W. Mahoney

Papers citing "Speculative Decoding with Big Little Decoder"

13 / 13 papers shown

Title
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation Yingfeng Luo Tong Zheng Yongyu Mu B. Li Qinghong Zhang ... Ziqiang Xu Peinan Feng Xiaoqian Liu Tong Xiao Jingbo Zhu AI4CE 97 0 0 09 Mar 2025
DuoDecoding: Hardware-aware Heterogeneous Speculative Decoding with Dynamic Multi-Sequence Drafting Kai Lv Honglin Guo Qipeng Guo Xipeng Qiu 39 0 0 02 Mar 2025
Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree Xiangxiang Gao Weisheng Xie Yiwei Xiang Feng Ji 73 5 0 17 Dec 2024
SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration Heming Xia Yongqi Li Jun Zhang Cunxiao Du Wenjie Li LRM 44 4 0 09 Oct 2024
Efficient Inference for Large Language Model-based Generative Recommendation Xinyu Lin Chaoqun Yang Wenjie Wang Yongqi Li Cunxiao Du Fuli Feng See-Kiong Ng Tat-Seng Chua 65 4 0 07 Oct 2024
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty Yuhui Li Fangyun Wei Chao Zhang Hongyang R. Zhang 26 116 0 26 Jan 2024
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism Yanxi Chen Xuchen Pan Yaliang Li Bolin Ding Jingren Zhou LRM 15 31 0 08 Dec 2023
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 83 151 0 17 Sep 2021
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 86 336 0 05 Jan 2021
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 225 574 0 12 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,508 0 10 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015