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Fast and Slow Generating: An Empirical Study on Large and Small Language
  Models Collaborative Decoding

Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding

18 June 2024
Kaiyan Zhang
Jianyu Wang
Ning Ding
Biqing Qi
Ermo Hua
Xingtai Lv
Bowen Zhou
ArXivPDFHTML

Papers citing "Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding"

5 / 5 papers shown
Title
Small Language Models: Survey, Measurements, and Insights
Small Language Models: Survey, Measurements, and Insights
Zhenyan Lu
Xiang Li
Dongqi Cai
Rongjie Yi
Fangming Liu
Xiwen Zhang
Nicholas D. Lane
Mengwei Xu
ObjD
LRM
47
31
0
24 Sep 2024
SWE-agent: Agent-Computer Interfaces Enable Automated Software
  Engineering
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
John Yang
Carlos E. Jimenez
Alexander Wettig
K. Lieret
Shunyu Yao
Karthik Narasimhan
Ofir Press
LLMAG
99
36
0
06 May 2024
Chain-of-Thought Reasoning Without Prompting
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLM
LRM
141
97
0
15 Feb 2024
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
102
349
0
04 Oct 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
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