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SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
v1v2v3 (latest)

SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction

11 October 2024
L. Yang
Zhaochen Yu
Tianze Zhang
Minkai Xu
Joseph E. Gonzalez
Tengjiao Wang
Shuicheng Yan
    ELMReLMLRM
ArXiv (abs)PDFHTML

Papers citing "SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction"

20 / 20 papers shown
Title
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
Yibo Yan
Shen Wang
Jiahao Huo
Philip S. Yu
Xuming Hu
Qingsong Wen
329
8
0
23 Mar 2025
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of
  LLMs
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Xin Lai
Zhuotao Tian
Yukang Chen
Senqiao Yang
Xiangru Peng
Jiaya Jia
LRM
151
125
0
26 Jun 2024
Quiet-STaR: Language Models Can Teach Themselves to Think Before
  Speaking
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
E. Zelikman
Georges Harik
Yijia Shao
Varuna Jayasiri
Nick Haber
Noah D. Goodman
LLMAGReLMLRM
114
151
0
14 Mar 2024
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Zhihong Shao
Peiyi Wang
Qihao Zhu
Runxin Xu
Jun-Mei Song
...
Haowei Zhang
Mingchuan Zhang
Yiming Li
Yu-Huan Wu
Daya Guo
ReLMLRM
148
1,274
0
05 Feb 2024
Mixtral of Experts
Mixtral of Experts
Albert Q. Jiang
Alexandre Sablayrolles
Antoine Roux
A. Mensch
Blanche Savary
...
Théophile Gervet
Thibaut Lavril
Thomas Wang
Timothée Lacroix
William El Sayed
MoELLMAG
155
1,117
0
08 Jan 2024
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language
  Models
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
L. Yu
Weisen Jiang
Han Shi
Jincheng Yu
Zhengying Liu
Yu Zhang
James T. Kwok
Zheng Li
Adrian Weller
Weiyang Liu
OSLMLRM
100
394
0
21 Sep 2023
MAmmoTH: Building Math Generalist Models through Hybrid Instruction
  Tuning
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Xiang Yue
Xingwei Qu
Ge Zhang
Yao Fu
Wenhao Huang
Huan Sun
Yu-Chuan Su
Wenhu Chen
AIMatLRM
153
403
0
11 Sep 2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Maciej Besta
Nils Blach
Aleš Kubíček
Robert Gerstenberger
Michal Podstawski
...
Joanna Gajda
Tomasz Lehmann
H. Niewiadomski
Piotr Nyczyk
Torsten Hoefler
LRMAI4CELM&Ro
157
701
0
18 Aug 2023
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Haipeng Luo
Qingfeng Sun
Can Xu
Pu Zhao
Jian-Guang Lou
...
Xiubo Geng
Qingwei Lin
Shifeng Chen
Yansong Tang
Dongmei Zhang
LRMOSLM
245
466
0
18 Aug 2023
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step
  Reasoning
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Ning Miao
Yee Whye Teh
Tom Rainforth
ReLMLRM
57
135
0
01 Aug 2023
Iterative Translation Refinement with Large Language Models
Iterative Translation Refinement with Large Language Models
Pinzhen Chen
Zhicheng Guo
Barry Haddow
Kenneth Heafield
LRM
55
23
0
06 Jun 2023
Constitutional AI: Harmlessness from AI Feedback
Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai
Saurav Kadavath
Sandipan Kundu
Amanda Askell
John Kernion
...
Dario Amodei
Nicholas Joseph
Sam McCandlish
Tom B. Brown
Jared Kaplan
SyDaMoMe
209
1,640
0
15 Dec 2022
Automatic Chain of Thought Prompting in Large Language Models
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang
Aston Zhang
Mu Li
Alexander J. Smola
ReLMLRM
150
632
0
07 Oct 2022
Measuring and Narrowing the Compositionality Gap in Language Models
Measuring and Narrowing the Compositionality Gap in Language Models
Ofir Press
Muru Zhang
Sewon Min
Ludwig Schmidt
Noah A. Smith
M. Lewis
ReLMKELMLRM
195
640
0
07 Oct 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
129
451
0
05 Oct 2022
Self-critiquing models for assisting human evaluators
Self-critiquing models for assisting human evaluators
William Saunders
Catherine Yeh
Jeff Wu
Steven Bills
Ouyang Long
Jonathan Ward
Jan Leike
ALMELM
107
305
0
12 Jun 2022
GLM: General Language Model Pretraining with Autoregressive Blank
  Infilling
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Zhengxiao Du
Yujie Qian
Xiao Liu
Ming Ding
J. Qiu
Zhilin Yang
Jie Tang
BDLAI4CE
142
1,553
0
18 Mar 2021
Human-centric Dialog Training via Offline Reinforcement Learning
Human-centric Dialog Training via Offline Reinforcement Learning
Natasha Jaques
J. Shen
Asma Ghandeharioun
Craig Ferguson
Àgata Lapedriza
Noah J. Jones
S. Gu
Rosalind W. Picard
OffRL
77
96
0
12 Oct 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
474
1,766
0
18 Sep 2019
Deep reinforcement learning from human preferences
Deep reinforcement learning from human preferences
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
218
3,365
0
12 Jun 2017
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