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Stable Reinforcement Learning for Efficient Reasoning

23 May 2025
Muzhi Dai
Shixuan Liu
Qingyi Si
    OffRL
    LRM
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Papers citing "Stable Reinforcement Learning for Efficient Reasoning"

21 / 21 papers shown
Title
Qwen3 Technical Report
Qwen3 Technical Report
An Yang
A. Li
Baosong Yang
Beichen Zhang
Binyuan Hui
...
Zekun Wang
Zeyu Cui
Zhenru Zhang
Zhenhong Zhou
Zihan Qiu
LLMAG
OSLM
LRM
73
35
0
14 May 2025
S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models
S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models
Muzhi Dai
Chenxu Yang
Qingyi Si
ReLM
OffRL
LRM
40
1
0
12 May 2025
Dynamic Early Exit in Reasoning Models
Dynamic Early Exit in Reasoning Models
Chenxu Yang
Qingyi Si
Yongjie Duan
Zheliang Zhu
Chenyu Zhu
Zheng Lin
Zheng Lin
Li Cao
Weiping Wang
ReLM
LRM
92
14
0
22 Apr 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
OffRL
ReLM
LRM
113
85
0
24 Mar 2025
FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models
FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models
Mingyang Song
Mao Zheng
Zheng Li
Wenjie Yang
Xuan Luo
Yue Pan
Feng Zhang
ReLM
LRM
113
7
0
21 Mar 2025
The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks
The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks
Alejandro Cuadron
Dacheng Li
Wenjie Ma
Xingyao Wang
Yichuan Wang
...
Aditya Desai
Ion Stoica
Ana Klimovic
Graham Neubig
Joseph E. Gonzalez
LRM
AI4CE
199
41
0
12 Feb 2025
When More is Less: Understanding Chain-of-Thought Length in LLMs
When More is Less: Understanding Chain-of-Thought Length in LLMs
Yuyang Wu
Yifei Wang
Tianqi Du
Stefanie Jegelka
Yisen Wang
Yisen Wang
LRM
85
35
0
11 Feb 2025
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Kimi Team
Angang Du
Bofei Gao
Bowei Xing
Changjiu Jiang
...
Zihao Huang
Ziyao Xu
Zhiyong Yang
Zonghan Yang
Zongyu Lin
OffRL
ALM
AI4TS
VLM
LRM
181
250
0
22 Jan 2025
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Xingyu Chen
Jiahao Xu
Tian Liang
Zhiwei He
Jianhui Pang
...
Zizhuo Zhang
Rui Wang
Zhaopeng Tu
Haitao Mi
Dong Yu
LRM
ReLM
125
158
0
30 Dec 2024
On Designing Effective RL Reward at Training Time for LLM Reasoning
On Designing Effective RL Reward at Training Time for LLM Reasoning
Jiaxuan Gao
Shusheng Xu
Wenjie Ye
Weilin Liu
Chuyi He
Wei Fu
Zhiyu Mei
Guangju Wang
Yi Wu
OffRL
LRM
62
21
0
19 Oct 2024
Scaling LLM Test-Time Compute Optimally can be More Effective than
  Scaling Model Parameters
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Charlie Snell
Jaehoon Lee
Kelvin Xu
Aviral Kumar
LRM
104
576
0
06 Aug 2024
Group Robust Preference Optimization in Reward-free RLHF
Group Robust Preference Optimization in Reward-free RLHF
Shyam Sundhar Ramesh
Yifan Hu
Iason Chaimalas
Viraj Mehta
Pier Giuseppe Sessa
Haitham Bou-Ammar
Ilija Bogunovic
58
32
0
30 May 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
ReLM
LRM
77
953
0
05 Feb 2024
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
David Rein
Betty Li Hou
Asa Cooper Stickland
Jackson Petty
Richard Yuanzhe Pang
Julien Dirani
Julian Michael
Samuel R. Bowman
AI4MH
ELM
66
627
0
20 Nov 2023
Training a Helpful and Harmless Assistant with Reinforcement Learning
  from Human Feedback
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Yuntao Bai
Andy Jones
Kamal Ndousse
Amanda Askell
Anna Chen
...
Jack Clark
Sam McCandlish
C. Olah
Benjamin Mann
Jared Kaplan
212
2,457
0
12 Apr 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
694
12,525
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
582
9,009
0
28 Jan 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
ReLM
OffRL
LRM
191
4,175
0
27 Oct 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
D. Song
Jacob Steinhardt
ReLM
FaML
122
2,109
0
05 Mar 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
451
4,662
0
23 Jan 2020
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
236
18,685
0
20 Jul 2017
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