ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2309.12284
  4. Cited By
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language
  Models

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

21 September 2023
L. Yu
Weisen Jiang
Han Shi
Jincheng Yu
Zhengying Liu
Yu Zhang
James T. Kwok
Zheng Li
Adrian Weller
Weiyang Liu
    OSLM
    LRM
ArXivPDFHTML

Papers citing "MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models"

43 / 93 papers shown
Title
ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure
ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure
Ippei Fujisawa
Sensho Nobe
Hiroki Seto
Rina Onda
Yoshiaki Uchida
Hiroki Ikoma
Pei-Chun Chien
Ryota Kanai
LRM
44
3
0
04 Oct 2024
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Xinhao Yao
Hongjin Qian
Xiaolin Hu
Gengze Xu
Wei Liu
Jian Luan
Bin Wang
Yong-Jin Liu
48
0
0
03 Oct 2024
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
Yilmazcan Ozyurt
Stefan Feuerriegel
Mrinmaya Sachan
AI4Ed
49
1
0
02 Oct 2024
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
Yuxin Jiang
Bo Huang
Yufei Wang
Xingshan Zeng
Liangyou Li
Yasheng Wang
Xin Jiang
Lifeng Shang
Ruiming Tang
Wei Wang
44
5
0
14 Aug 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Yupeng Chen
Senmiao Wang
Zhihang Lin
Zhihang Lin
Yushun Zhang
Tian Ding
Ruoyu Sun
Ruoyu Sun
CLL
80
1
0
30 Jul 2024
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
Zhengbo Wang
Jian Liang
Ran He
Zilei Wang
Tieniu Tan
61
16
0
25 Jul 2024
Training on the Test Task Confounds Evaluation and Emergence
Training on the Test Task Confounds Evaluation and Emergence
Ricardo Dominguez-Olmedo
Florian E. Dorner
Moritz Hardt
ELM
71
7
1
10 Jul 2024
Progress or Regress? Self-Improvement Reversal in Post-training
Progress or Regress? Self-Improvement Reversal in Post-training
Ting Wu
Xuefeng Li
Pengfei Liu
LRM
33
11
0
06 Jul 2024
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Tao Ge
Xin Chan
Dian Yu
Haitao Mi
Dong Yu
Dong Yu
SyDa
122
97
0
28 Jun 2024
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning
Chaojie Wang
Yanchen Deng
Zhiyi Lyu
Liang Zeng
Jujie He
Shuicheng Yan
Bo An
LRM
ReLM
42
52
0
20 Jun 2024
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
Zhen Huang
Zengzhi Wang
Shijie Xia
Xuefeng Li
Haoyang Zou
...
Yuxiang Zheng
Shaoting Zhang
Dahua Lin
Yu Qiao
Pengfei Liu
ELM
LRM
49
28
0
18 Jun 2024
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
Hanqing Wang
Zeguan Xiao
Shuo Wang
Guanhua Chen
Guanhua Chen
44
19
0
13 Jun 2024
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal
  Large Language Models
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
Tianle Gu
Zeyang Zhou
Kexin Huang
Dandan Liang
Yixu Wang
...
Keqing Wang
Yujiu Yang
Yan Teng
Yu Qiao
Yingchun Wang
ELM
50
13
0
11 Jun 2024
Can I understand what I create? Self-Knowledge Evaluation of Large
  Language Models
Can I understand what I create? Self-Knowledge Evaluation of Large Language Models
Zhiquan Tan
Lai Wei
Jindong Wang
Xing Xie
Weiran Huang
ELM
LRM
35
5
0
10 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
Shuaiwen Leon Song
Jianlong Wu
Liqiang Nie
Guohao Li
45
6
0
07 Jun 2024
Bridging The Gap between Low-rank and Orthogonal Adaptation via
  Householder Reflection Adaptation
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
Shen Yuan
Haotian Liu
Hongteng Xu
44
2
0
24 May 2024
Can LLMs Solve longer Math Word Problems Better?
Can LLMs Solve longer Math Word Problems Better?
Xin Xu
Tong Xiao
Zitong Chao
Zhenya Huang
Can Yang
Yang Wang
70
11
0
23 May 2024
Granite Code Models: A Family of Open Foundation Models for Code
  Intelligence
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Mayank Mishra
Matt Stallone
Gaoyuan Zhang
Songlin Yang
Aditya Prasad
...
Amith Singhee
Nirmit Desai
David D. Cox
Ruchir Puri
Yikang Shen
AI4TS
56
55
0
07 May 2024
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems
Qihuang Zhong
Kang Wang
Ziyang Xu
Juhua Liu
Liang Ding
Bo Du
LRM
AIMat
63
3
0
23 Apr 2024
A Survey on Self-Evolution of Large Language Models
A Survey on Self-Evolution of Large Language Models
Zhengwei Tao
Ting-En Lin
Xiancai Chen
Hangyu Li
Yuchuan Wu
Yongbin Li
Zhi Jin
Fei Huang
Dacheng Tao
Jingren Zhou
LRM
LM&Ro
57
22
0
22 Apr 2024
RAR-b: Reasoning as Retrieval Benchmark
RAR-b: Reasoning as Retrieval Benchmark
Chenghao Xiao
G. Thomas
Al Moubayed
LRM
RALM
36
8
0
09 Apr 2024
Evaluating Mathematical Reasoning Beyond Accuracy
Evaluating Mathematical Reasoning Beyond Accuracy
Shijie Xia
Xuefeng Li
Yixin Liu
Tongshuang Wu
Pengfei Liu
LRM
ReLM
52
22
0
08 Apr 2024
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Andi Zhang
Tim Z. Xiao
Weiyang Liu
Robert Bamler
Damon J. Wischik
OODD
51
4
0
07 Apr 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
64
73
0
03 Apr 2024
Stable Code Technical Report
Stable Code Technical Report
Nikhil Pinnaparaju
Reshinth Adithyan
Duy Phung
J. Tow
James Baicoianu
...
Maksym Zhuravinskyi
Dakota Mahan
Marco Bellagente
Carlos Riquelme
Nathan Cooper
LRM
ALM
25
13
0
01 Apr 2024
Stable LM 2 1.6B Technical Report
Stable LM 2 1.6B Technical Report
Marco Bellagente
J. Tow
Dakota Mahan
Duy Phung
Maksym Zhuravinskyi
...
Paulo Rocha
Harry Saini
H. Teufel
Niccoló Zanichelli
Carlos Riquelme
OSLM
44
52
0
27 Feb 2024
Orca-Math: Unlocking the potential of SLMs in Grade School Math
Orca-Math: Unlocking the potential of SLMs in Grade School Math
Arindam Mitra
Hamed Khanpour
Corby Rosset
Ahmed Hassan Awadallah
ALM
MoE
LRM
37
64
0
16 Feb 2024
Can We Verify Step by Step for Incorrect Answer Detection?
Can We Verify Step by Step for Incorrect Answer Detection?
Xin Xu
Shizhe Diao
Can Yang
Yang Wang
LRM
124
14
0
16 Feb 2024
Training Large Language Models for Reasoning through Reverse Curriculum
  Reinforcement Learning
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
Zhiheng Xi
Wenxiang Chen
Boyang Hong
Senjie Jin
Rui Zheng
...
Xinbo Zhang
Peng Sun
Tao Gui
Qi Zhang
Xuanjing Huang
LRM
39
21
0
08 Feb 2024
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on
  Model-induced Process Supervision
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision
Zihan Wang
Yunxuan Li
Yuexin Wu
Liangchen Luo
Le Hou
Hongkun Yu
Jingbo Shang
LRM
40
20
0
05 Feb 2024
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
Zhongshen Zeng
Pengguang Chen
Shu Liu
Haiyun Jiang
Jiaya Jia
ReLM
ELM
LRM
41
18
0
28 Dec 2023
TinyGSM: achieving >80% on GSM8k with small language models
TinyGSM: achieving >80% on GSM8k with small language models
Bingbin Liu
Sébastien Bubeck
Ronen Eldan
Janardhan Kulkarni
Yuanzhi Li
Anh Nguyen
Rachel A. Ward
Yi Zhang
ALM
27
47
0
14 Dec 2023
Dual Branch Network Towards Accurate Printed Mathematical Expression
  Recognition
Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition
Yuqing Wang
Zhenyu Weng
Zhaokun Zhou
Shuaijian Ji
Zhongjie Ye
Yuesheng Zhu
32
2
0
14 Dec 2023
The Expressibility of Polynomial based Attention Scheme
The Expressibility of Polynomial based Attention Scheme
Zhao Song
Guangyi Xu
Junze Yin
32
5
0
30 Oct 2023
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Lianghui Zhu
Xinggang Wang
Xinlong Wang
ELM
ALM
59
110
0
26 Oct 2023
LEGO-Prover: Neural Theorem Proving with Growing Libraries
LEGO-Prover: Neural Theorem Proving with Growing Libraries
Haiming Wang
Huajian Xin
Chuanyang Zheng
Lin Li
Zhengying Liu
...
Enze Xie
Jian Yin
Zhenguo Li
Heng Liao
Xiaodan Liang
LRM
39
63
0
01 Oct 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
220
502
0
03 May 2023
GLM-130B: An Open Bilingual Pre-trained Model
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng
Xiao Liu
Zhengxiao Du
Zihan Wang
Hanyu Lai
...
Jidong Zhai
Wenguang Chen
Peng-Zhen Zhang
Yuxiao Dong
Jie Tang
BDL
LRM
253
1,073
0
05 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
162
414
0
03 Oct 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,273
0
21 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
339
12,003
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
395
8,559
0
28 Jan 2022
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
236
157
0
15 Oct 2021
Previous
12