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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

8 January 2025
Xinyu Guan
L. Zhang
Yifei Liu
Ning Shang
Youran Sun
Yi Zhu
Fan Yang
Mao Yang
    LRM
    SyDa
    ReLM
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Papers citing "rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking"

17 / 17 papers shown
Title
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Xiaobao Wu
LRM
60
0
0
05 May 2025
Phi-4-reasoning Technical Report
Phi-4-reasoning Technical Report
Marah Abdin
Sahaj Agarwal
Ahmed Hassan Awadallah
Vidhisha Balachandran
Harkirat Singh Behl
...
Vaishnavi Shrivastava
Vibhav Vineet
Yue Wu
Safoora Yousefi
Guoqing Zheng
ReLM
LRM
77
0
0
30 Apr 2025
Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization
Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization
Qingyang Zhang
Haitao Wu
Changqing Zhang
Peilin Zhao
Yatao Bian
ReLM
LRM
68
3
0
08 Apr 2025
FastCuRL: Curriculum Reinforcement Learning with Progressive Context Extension for Efficient Training R1-like Reasoning Models
FastCuRL: Curriculum Reinforcement Learning with Progressive Context Extension for Efficient Training R1-like Reasoning Models
Mingyang Song
Mao Zheng
Zheng Li
Wenjie Yang
Xuan Luo
Yue Pan
Feng Zhang
ReLM
LRM
66
4
0
21 Mar 2025
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
Songjun Tu
Jiahao Lin
Xiangyu Tian
Qichao Zhang
Linjing Li
...
Nan Xu
Wei He
Xiangyuan Lan
D. Jiang
Dongbin Zhao
LRM
42
2
0
17 Mar 2025
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
Yuchen Yan
Yongliang Shen
Y. Liu
Jin Jiang
M. Zhang
Jian Shao
Yueting Zhuang
LRM
ReLM
53
3
0
09 Mar 2025
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
Yancheng He
Shilong Li
J. Liu
Weixun Wang
Xingyuan Bu
...
Zhongyuan Peng
Z. Zhang
Zhicheng Zheng
Wenbo Su
Bo Zheng
ELM
LRM
60
6
0
26 Feb 2025
The Relationship Between Reasoning and Performance in Large Language Models -- o3 (mini) Thinks Harder, Not Longer
The Relationship Between Reasoning and Performance in Large Language Models -- o3 (mini) Thinks Harder, Not Longer
Marthe Ballon
Andres Algaba
Vincent Ginis
LRM
ReLM
36
4
0
24 Feb 2025
Learning to Retrieve and Reason on Knowledge Graph through Active Self-Reflection
Learning to Retrieve and Reason on Knowledge Graph through Active Self-Reflection
Han Zhang
Langshi Zhou
Hanfang Yang
LRM
RALM
ReLM
KELM
63
1
0
24 Feb 2025
Towards Reasoning Ability of Small Language Models
Towards Reasoning Ability of Small Language Models
Gaurav Srivastava
Shuxiang Cao
Xuan Wang
ReLM
LRM
49
4
0
17 Feb 2025
ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
L. Yang
Zhaochen Yu
Bin Cui
Mengdi Wang
ReLM
LRM
AI4CE
92
10
0
10 Feb 2025
Iterative Deepening Sampling for Large Language Models
Iterative Deepening Sampling for Large Language Models
Weizhe Chen
Sven Koenig
B. Dilkina
LRM
ReLM
86
0
0
08 Feb 2025
Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment
Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment
Haoyu Wang
Zeyu Qin
Li Shen
Xueqian Wang
Minhao Cheng
Dacheng Tao
66
1
0
06 Feb 2025
Brief analysis of DeepSeek R1 and its implications for Generative AI
Brief analysis of DeepSeek R1 and its implications for Generative AI
Sarah Mercer
Samuel Spillard
Daniel P. Martin
58
10
0
04 Feb 2025
A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
Isha Puri
Shivchander Sudalairaj
Guangxuan Xu
Kai Xu
Akash Srivastava
LRM
64
3
0
03 Feb 2025
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Boostrapping
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Boostrapping
Pu Yang
Yunzhen Feng
Ziyuan Chen
Yuhang Wu
Zhuoyuan Li
DiffM
89
0
0
31 Jan 2025
Chain-of-Retrieval Augmented Generation
Chain-of-Retrieval Augmented Generation
Liang Wang
Haonan Chen
Nan Yang
Xiaolong Huang
Zhicheng Dou
Furu Wei
RALM
LRM
ReLM
3DV
68
6
0
24 Jan 2025
1