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Small Language Models Fine-tuned to Coordinate Larger Language Models
  improve Complex Reasoning
v1v2 (latest)

Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning

21 October 2023
Gurusha Juneja
Subhabrata Dutta
Soumen Chakrabarti
Sunny Manchanda
Tanmoy Chakraborty
    LRMReLM
ArXiv (abs)PDFHTML

Papers citing "Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning"

12 / 12 papers shown
Title
Synergistic Weak-Strong Collaboration by Aligning Preferences
Synergistic Weak-Strong Collaboration by Aligning Preferences
Yizhu Jiao
Xuchao Zhang
Zhaoyang Wang
Yubo Ma
Zhun Deng
Rujia Wang
Chetan Bansal
Saravan Rajmohan
Jiawei Han
Huaxiu Yao
469
0
0
21 Apr 2025
Towards Sustainable Large Language Model Serving
Towards Sustainable Large Language Model Serving
Sophia Nguyen
Beihao Zhou
Yi Ding
Sihang Liu
204
8
0
31 Dec 2024
What is the Role of Small Models in the LLM Era: A Survey
What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen
Gaël Varoquaux
ALM
211
32
0
10 Sep 2024
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
Lipeng Ma
Weidong Yang
Sihang Jiang
Ben Fei
Mingjie Zhou
Shuhao Li
Bo Xu
Bo Xu
Yanghua Xiao
137
0
0
03 Sep 2024
Towards Revealing the Mystery behind Chain of Thought: A Theoretical
  Perspective
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
Guhao Feng
Bohang Zhang
Yuntian Gu
Haotian Ye
Di He
Liwei Wang
LRM
115
259
0
24 May 2023
Large Language Models are Versatile Decomposers: Decompose Evidence and
  Questions for Table-based Reasoning
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning
Yunhu Ye
Binyuan Hui
Min Yang
Binhua Li
Fei Huang
Yongbin Li
LMTDReLMLRM
127
162
0
31 Jan 2023
Successive Prompting for Decomposing Complex Questions
Successive Prompting for Decomposing Complex Questions
Dheeru Dua
Shivanshu Gupta
Sameer Singh
Matt Gardner
ReLMLRM
102
118
0
08 Dec 2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Tushar Khot
H. Trivedi
Matthew Finlayson
Yao Fu
Kyle Richardson
Peter Clark
Ashish Sabharwal
ReLMLRM
145
452
0
05 Oct 2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
Ashwin Kalyan
ELMReLMLRM
290
1,299
0
20 Sep 2022
Training Verifiers to Solve Math Word Problems
Training Verifiers to Solve Math Word Problems
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
...
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
ReLMOffRLLRM
365
4,598
0
27 Oct 2021
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
506
20,376
0
23 Oct 2019
Program Induction by Rationale Generation : Learning to Solve and
  Explain Algebraic Word Problems
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Wang Ling
Dani Yogatama
Chris Dyer
Phil Blunsom
AIMat
113
737
0
11 May 2017
1