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Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration
v1v2 (latest)

Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration

23 May 2025
Jingtong Gao
Ling Pan
Yejing Wang
Rui Zhong
Chi Lu
Qingpeng Cai
Peng Jiang
Xiangyu Zhao
    LRM
ArXiv (abs)PDFHTML

Papers citing "Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration"

31 / 31 papers shown
Title
Reasoning with Exploration: An Entropy Perspective
Reasoning with Exploration: An Entropy Perspective
Daixuan Cheng
Shaohan Huang
Xuekai Zhu
Bo Dai
Wayne Xin Zhao
Zhenliang Zhang
Furu Wei
LRM
25
0
0
17 Jun 2025
Improving RL Exploration for LLM Reasoning through Retrospective Replay
Improving RL Exploration for LLM Reasoning through Retrospective Replay
Shihan Dou
Muling Wu
Jingwen Xu
Rui Zheng
Tao Gui
Qi Zhang
Xuanjing Huang
OffRLLRM
77
2
0
19 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
228
172
0
26 Mar 2025
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Qiying Yu
Zheng Zhang
Ruofei Zhu
Yufeng Yuan
Xiaochen Zuo
...
Ya Zhang
Lin Yan
Mu Qiao
Yonghui Wu
Mingxuan Wang
OffRLLRM
243
217
0
18 Mar 2025
Steering Large Language Model Activations in Sparse Spaces
Reza Bayat
Ali Rahimi-Kalahroudi
Mohammad Pezeshki
Sarath Chandar
Pascal Vincent
LLMSV
84
9
0
28 Feb 2025
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
OffRLLRM
150
23
0
19 Oct 2024
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
Yuxuan Zhou
Margret Keuper
Mario Fritz
73
6
0
24 Aug 2024
Reasoning with Large Language Models, a Survey
Reasoning with Large Language Models, a Survey
Aske Plaat
Annie Wong
Suzan Verberne
Joost Broekens
Niki van Stein
Thomas Back
OffRLLRMAI4CEReLM
59
73
0
16 Jul 2024
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference
  Learning
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
Yuxi Xie
Anirudh Goyal
Wenyue Zheng
Min-Yen Kan
Timothy Lillicrap
Kenji Kawaguchi
Michael Shieh
ReLMLRM
141
126
0
01 May 2024
Stream of Search (SoS): Learning to Search in Language
Stream of Search (SoS): Learning to Search in Language
Kanishk Gandhi
Denise Lee
Gabriel Grand
Muxin Liu
Winson Cheng
Archit Sharma
Noah D. Goodman
RALMAIFinLRM
100
68
0
01 Apr 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
200
1,288
0
05 Feb 2024
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Pranab Sahoo
Ayush Kumar Singh
Sriparna Saha
Vinija Jain
S. Mondal
Aman Chadha
172
339
0
05 Feb 2024
Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language
  Model Critique in Text Generation
Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation
Meng Cao
Lei Shu
Lei Yu
Yun Zhu
Nevan Wichers
Yinxiao Liu
Lei Meng
OffRLALM
51
7
0
14 Jan 2024
Unleashing the potential of prompt engineering in Large Language Models:
  a comprehensive review
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Banghao Chen
Zhaofeng Zhang
Nicolas Langrené
Shengxin Zhu
LLMAG
110
12
0
23 Oct 2023
Towards Better Chain-of-Thought Prompting Strategies: A Survey
Towards Better Chain-of-Thought Prompting Strategies: A Survey
Zihan Yu
Liang He
Zhen Wu
Xinyu Dai
Jiajun Chen
LRM
167
55
0
08 Oct 2023
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought
  Reasoning: Advances, Frontiers and Future
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
Zheng Chu
Jingchang Chen
Qianglong Chen
Weijiang Yu
Tao He
Haotian Wang
Weihua Peng
Ming-Yuan Liu
Bing Qin
Ting Liu
LRMAI4CE
125
175
0
27 Sep 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
234
1,241
0
31 May 2023
Encouraging Divergent Thinking in Large Language Models through
  Multi-Agent Debate
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Tian Liang
Zhiwei He
Wenxiang Jiao
Xing Wang
Rui Wang
Yujiu Yang
Zhaopeng Tu
Shuming Shi
LLMAGLRM
123
497
0
30 May 2023
Self-Evaluation Guided Beam Search for Reasoning
Self-Evaluation Guided Beam Search for Reasoning
Yuxi Xie
Kenji Kawaguchi
Yiran Zhao
Xu Zhao
MingSung Kan
Junxian He
Qizhe Xie
LRM
260
159
0
01 May 2023
Self-Refine: Iterative Refinement with Self-Feedback
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan
Niket Tandon
Prakhar Gupta
Skyler Hallinan
Luyu Gao
...
Bodhisattwa Prasad Majumder
Katherine Hermann
Sean Welleck
Amir Yazdanbakhsh
Peter Clark
ReLMLRMDiffM
212
1,688
0
30 Mar 2023
Solving math word problems with process- and outcome-based feedback
Solving math word problems with process- and outcome-based feedback
J. Uesato
Nate Kushman
Ramana Kumar
Francis Song
Noah Y. Siegel
L. Wang
Antonia Creswell
G. Irving
I. Higgins
FaMLReLMAIMatLRM
133
362
0
25 Nov 2022
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
93
364
0
02 May 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
592
3,757
0
21 Mar 2022
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
189
1,094
0
01 Nov 2021
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
422
4,608
0
27 Oct 2021
Exploration by Random Network Distillation
Exploration by Random Network Distillation
Yuri Burda
Harrison Edwards
Amos Storkey
Oleg Klimov
163
1,347
0
30 Oct 2018
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
143
2,830
0
19 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
684
19,343
0
20 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRMSSL
177
2,455
0
15 May 2017
Count-Based Exploration with Neural Density Models
Count-Based Exploration with Neural Density Models
Georg Ostrovski
Marc G. Bellemare
Aaron van den Oord
Rémi Munos
102
626
0
03 Mar 2017
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
163
3,444
0
08 Jun 2015
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