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. 2505.17218
  4. Cited By
Effective Reinforcement Learning for Reasoning in Language Models

Effective Reinforcement Learning for Reasoning in Language Models

22 May 2025
Lianghuan Huang
Shuo Li
Sagnik Anupam
Insup Lee
Osbert Bastani
Author Contacts:
obastani@seas.upenn.edu
    LRM
ArXiv (abs)PDFHTML

Papers citing "Effective Reinforcement Learning for Reasoning in Language Models"

15 / 15 papers shown
Title
Base Models Beat Aligned Models at Randomness and Creativity
Base Models Beat Aligned Models at Randomness and Creativity
Peter West
Christopher Potts
440
4
0
30 Apr 2025
Evaluating the Diversity and Quality of LLM Generated Content
Evaluating the Diversity and Quality of LLM Generated Content
Alexander Shypula
Shuo Li
Botong Zhang
Vishakh Padmakumar
Kayo Yin
Osbert Bastani
81
4
0
16 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
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
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
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAGReLMLRM
429
2,876
0
06 Oct 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
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELMALM
231
5,539
0
07 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
471
10,367
0
17 Jun 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of
  Coding Tasks
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Ruchi Puri
David S. Kung
G. Janssen
Wei Zhang
Giacomo Domeniconi
...
Saurabh Pujar
Shyam Ramji
Ulrich Finkler
Susan Malaika
Frederick Reiss
74
239
0
25 May 2021
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari
Jeff Rasley
Olatunji Ruwase
Yuxiong He
ALMAI4CE
82
881
0
04 Oct 2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human
  Preferences in Dialog
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
Natasha Jaques
Asma Ghandeharioun
J. Shen
Craig Ferguson
Àgata Lapedriza
Noah J. Jones
S. Gu
Rosalind W. Picard
OffRL
123
342
0
30 Jun 2019
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
1