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Decomposing Elements of Problem Solving: What "Math" Does RL Teach?

Decomposing Elements of Problem Solving: What "Math" Does RL Teach?

28 May 2025
Tian Qin
Core Francisco Park
Mujin Kwun
Aaron Walsman
Eran Malach
Nikhil Anand
Hidenori Tanaka
David Alvarez-Melis
Author Contacts:
tqin@g.harvard.educorefranciscopark@g.harvard.edu
    ReLMOffRLLRM
ArXiv (abs)PDFHTML

Papers citing "Decomposing Elements of Problem Solving: What "Math" Does RL Teach?"

41 / 41 papers shown
Title
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Yiping Wang
Qing Yang
Zhiyuan Zeng
Liliang Ren
Liu Liu
...
Jianfeng Gao
Weizhu Chen
Shuaiqiang Wang
Simon Shaolei Du
Yelong Shen
OffRLReLMLRM
278
34
0
29 Apr 2025
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Yang Yue
Zhiqi Chen
Rui Lu
Andrew Zhao
Zhaokai Wang
Yang Yue
Shiji Song
Gao Huang
ReLMLRM
184
93
0
18 Apr 2025
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
Siyan Zhao
Devaansh Gupta
Qinqing Zheng
Aditya Grover
DiffMLRMAI4CE
123
6
0
16 Apr 2025
GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models
GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models
Jixiao Zhang
Chunsheng Zuo
LRM
78
14
0
13 Apr 2025
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Yu Yue
Yufeng Yuan
Qiying Yu
Xiaochen Zuo
Ruofei Zhu
...
Ru Zhang
Xin Liu
Mingxuan Wang
Yonghui Wu
Lin Yan
OffRLLRM
112
30
0
07 Apr 2025
Understanding R1-Zero-Like Training: A Critical Perspective
Understanding R1-Zero-Like Training: A Critical Perspective
Zichen Liu
Changyu Chen
Wenjun Li
Penghui Qi
Tianyu Pang
Chao Du
Wee Sun Lee
Min Lin
OffRLLRM
190
141
0
26 Mar 2025
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Weihao Zeng
Yuzhen Huang
Qian Liu
Wei Liu
Keqing He
Zejun Ma
Junxian He
OffRLReLMLRM
160
109
0
24 Mar 2025
Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
Kanishk Gandhi
Ayush Chakravarthy
Anikait Singh
Nathan Lile
Noah D. Goodman
ReLMLRM
149
84
0
03 Mar 2025
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Bradley Brown
Jordan Juravsky
Ryan Ehrlich
Ronald Clark
Quoc V. Le
Christopher Ré
Azalia Mirhoseini
ALMLRM
233
302
0
03 Jan 2025
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large
  Language Models
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models
Bofei Gao
Feifan Song
Zhiyong Yang
Zefan Cai
Yibo Miao
...
Lei Sha
Yichang Zhang
Xuancheng Ren
Tianyu Liu
Baobao Chang
ELMLRM
83
55
0
10 Oct 2024
VinePPO: Refining Credit Assignment in RL Training of LLMs
VinePPO: Refining Credit Assignment in RL Training of LLMs
Amirhossein Kazemnejad
Milad Aghajohari
Eva Portelance
Alessandro Sordoni
Siva Reddy
Rameswar Panda
Nicolas Le Roux
OffRLLRM
70
36
0
02 Oct 2024
HybridFlow: A Flexible and Efficient RLHF Framework
HybridFlow: A Flexible and Efficient RLHF Framework
Guangming Sheng
Chi Zhang
Zilingfeng Ye
Xibin Wu
Wang Zhang
Ru Zhang
Size Zheng
Haibin Lin
Chuan Wu
AI4CE
166
201
0
28 Sep 2024
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam
  Mathematical Competition
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
George Tsoukalas
Jasper Lee
John Jennings
Jimmy Xin
Michelle Ding
Michael Jennings
Amitayush Thakur
Swarat Chaudhuri
LRMAIMat
101
26
0
15 Jul 2024
Qwen2 Technical Report
Qwen2 Technical Report
An Yang
Baosong Yang
Binyuan Hui
Jian Xu
Bowen Yu
...
Yuqiong Liu
Zeyu Cui
Zhenru Zhang
Zhifang Guo
Zhi-Wei Fan
OSLMVLMMU
137
942
0
15 Jul 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept
  Space
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
Core Francisco Park
Maya Okawa
Andrew Lee
Ekdeep Singh Lubana
Hidenori Tanaka
86
20
0
27 Jun 2024
OlympiadBench: A Challenging Benchmark for Promoting AGI with
  Olympiad-Level Bilingual Multimodal Scientific Problems
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
Chaoqun He
Renjie Luo
Yuzhuo Bai
Shengding Hu
Zhen Leng Thai
...
Yuxiang Zhang
Jie Liu
Lei Qi
Zhiyuan Liu
Maosong Sun
ELMAIMat
106
273
0
21 Feb 2024
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and
  Local Refinements
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Alex Havrilla
Sharath Raparthy
Christoforus Nalmpantis
Jane Dwivedi-Yu
Maksym Zhuravinskyi
Eric Hambro
Roberta Railneau
ReLMLRM
82
63
0
13 Feb 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
138
1,119
0
05 Feb 2024
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human
  Annotations
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Peiyi Wang
Lei Li
Zhihong Shao
R. X. Xu
Damai Dai
Yifei Li
Deli Chen
Y.Wu
Zhifang Sui
AIMatLRMALM
132
391
0
14 Dec 2023
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning
  Benchmark for Expert AGI
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Xiang Yue
Yuansheng Ni
Kai Zhang
Tianyu Zheng
Ruoqi Liu
...
Yibo Liu
Wenhao Huang
Huan Sun
Yu-Chuan Su
Wenhu Chen
OSLMELMVLM
220
905
0
27 Nov 2023
Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in
  AlphaZero
Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero
Lisa Schut
Nenad Tomašev
Tom McGrath
Demis Hassabis
Ulrich Paquet
Been Kim
53
36
0
25 Oct 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion
  Models on a Synthetic Task
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
Maya Okawa
Ekdeep Singh Lubana
Robert P. Dick
Hidenori Tanaka
CoGeDiffM
80
63
0
13 Oct 2023
Physics of Language Models: Part 3.2, Knowledge Manipulation
Physics of Language Models: Part 3.2, Knowledge Manipulation
Zeyuan Allen-Zhu
Yuanzhi Li
KELM
54
98
0
25 Sep 2023
Reinforced Self-Training (ReST) for Language Modeling
Reinforced Self-Training (ReST) for Language Modeling
Çağlar Gülçehre
T. Paine
S. Srinivasan
Ksenia Konyushkova
L. Weerts
...
Chenjie Gu
Wolfgang Macherey
Arnaud Doucet
Orhan Firat
Nando de Freitas
OffRL
119
305
0
17 Aug 2023
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open
  Resources
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
Yizhong Wang
Hamish Ivison
Pradeep Dasigi
Jack Hessel
Tushar Khot
...
David Wadden
Kelsey MacMillan
Noah A. Smith
Iz Beltagy
Hannaneh Hajishirzi
ALMELM
99
389
0
07 Jun 2023
Let's Verify Step by Step
Let's Verify Step by Step
Hunter Lightman
V. Kosaraju
Yura Burda
Harrison Edwards
Bowen Baker
Teddy Lee
Jan Leike
John Schulman
Ilya Sutskever
K. Cobbe
ALMOffRLLRM
191
1,164
0
31 May 2023
The Quantization Model of Neural Scaling
The Quantization Model of Neural Scaling
Eric J. Michaud
Ziming Liu
Uzay Girit
Max Tegmark
MILM
89
88
0
23 Mar 2023
A Survey of Deep Learning for Mathematical Reasoning
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu
Liang Qiu
Wenhao Yu
Sean Welleck
Kai-Wei Chang
ReLMLRM
121
150
0
20 Dec 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
278
1,286
0
20 Sep 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLMLRM
140
488
0
28 Mar 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
ReLMBDLLRMAI4CE
516
3,646
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
OSLMALM
874
12,973
0
04 Mar 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
285
4,408
0
27 Oct 2021
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Kunhao Zheng
Jesse Michael Han
Stanislas Polu
AIMat
94
172
0
31 Aug 2021
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal
  Numerical Reasoning
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
Jiaqi Chen
Jianheng Tang
Jinghui Qin
Xiaodan Liang
Lingbo Liu
Eric Xing
Liang Lin
AIMat
50
181
0
30 May 2021
NaturalProofs: Mathematical Theorem Proving in Natural Language
NaturalProofs: Mathematical Theorem Proving in Natural Language
Sean Welleck
Jiacheng Liu
Ronan Le Bras
Hannaneh Hajishirzi
Yejin Choi
Kyunghyun Cho
AIMat
62
68
0
24 Mar 2021
Measuring Mathematical Problem Solving With the MATH Dataset
Measuring Mathematical Problem Solving With the MATH Dataset
Dan Hendrycks
Collin Burns
Saurav Kadavath
Akul Arora
Steven Basart
Eric Tang
Basel Alomair
Jacob Steinhardt
ReLMFaML
173
2,265
0
05 Mar 2021
Learning to summarize from human feedback
Learning to summarize from human feedback
Nisan Stiennon
Long Ouyang
Jeff Wu
Daniel M. Ziegler
Ryan J. Lowe
Chelsea Voss
Alec Radford
Dario Amodei
Paul Christiano
ALM
237
2,147
0
02 Sep 2020
MathQA: Towards Interpretable Math Word Problem Solving with
  Operation-Based Formalisms
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
Aida Amini
Saadia Gabriel
Shanchuan Lin
Rik Koncel-Kedziorski
Yejin Choi
Hannaneh Hajishirzi
AIMatReLMAI4CE
114
574
0
30 May 2019
Mastering Chess and Shogi by Self-Play with a General Reinforcement
  Learning Algorithm
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
David Silver
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
Matthew Lai
...
D. Kumaran
T. Graepel
Timothy Lillicrap
Karen Simonyan
Demis Hassabis
143
1,775
0
05 Dec 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
499
19,065
0
20 Jul 2017
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