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CoThink: Token-Efficient Reasoning via Instruct Models Guiding Reasoning Models

CoThink: Token-Efficient Reasoning via Instruct Models Guiding Reasoning Models

28 May 2025
Siqi Fan
Peng Han
Shuo Shang
Yequan Wang
Aixin Sun
    LLMAG
    LRM
ArXivPDFHTML

Papers citing "CoThink: Token-Efficient Reasoning via Instruct Models Guiding Reasoning Models"

29 / 29 papers shown
Title
FlashThink: An Early Exit Method For Efficient Reasoning
FlashThink: An Early Exit Method For Efficient Reasoning
Guochao Jiang
Guofeng Quan
Zepeng Ding
Ziqin Luo
Dixuan Wang
Zheng Hu
ReLM
LRM
41
1
0
20 May 2025
Think Only When You Need with Large Hybrid-Reasoning Models
Think Only When You Need with Large Hybrid-Reasoning Models
Lingjie Jiang
Xun Wu
Shaohan Huang
Qingxiu Dong
Zewen Chi
Li Dong
Xingxing Zhang
Tengchao Lv
Lei Cui
Furu Wei
OffRL
LRM
93
1
0
20 May 2025
AdaptThink: Reasoning Models Can Learn When to Think
AdaptThink: Reasoning Models Can Learn When to Think
Jing Zhang
Nianyi Lin
Lei Hou
Ling Feng
Juanzi Li
OffRL
LRM
58
3
0
19 May 2025
Lost in Transmission: When and Why LLMs Fail to Reason Globally
Lost in Transmission: When and Why LLMs Fail to Reason Globally
Tobias Schnabel
Kiran Tomlinson
Adith Swaminathan
Jennifer Neville
LRM
82
1
0
13 May 2025
Reasoning Models Don't Always Say What They Think
Reasoning Models Don't Always Say What They Think
Yanda Chen
Joe Benton
Ansh Radhakrishnan
Jonathan Uesato
Carson E. Denison
...
Vlad Mikulik
Samuel R. Bowman
Jan Leike
Jared Kaplan
E. Perez
ReLM
LRM
117
31
1
08 May 2025
Efficient Reasoning for LLMs through Speculative Chain-of-Thought
Efficient Reasoning for LLMs through Speculative Chain-of-Thought
Jikai Wang
Junlin Li
Jianye Hou
Hao Fei
Lijun Wu
Min Zhang
LLMAG
LRM
88
3
0
27 Apr 2025
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks
Yixin Cao
Shibo Hong
Xuzhao Li
Jiahao Ying
Yubo Ma
...
Juanzi Li
Aixin Sun
Xuanjing Huang
Tat-Seng Chua
Tianwei Zhang
ALM
ELM
158
6
0
26 Apr 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
108
14
0
22 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
ReLM
LRM
116
55
0
18 Apr 2025
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Yule Liu
Jingyi Zheng
Zhen Sun
Zifan Peng
Wenhan Dong
Zeyang Sha
Shiwen Cui
Weiqiang Wang
Xinlei He
OffRL
LRM
90
7
0
18 Apr 2025
Efficient Reasoning Models: A Survey
Efficient Reasoning Models: A Survey
Sicheng Feng
Gongfan Fang
Xinyin Ma
Xinchao Wang
ReLM
LRM
292
10
0
15 Apr 2025
Reasoning Models Can Be Effective Without Thinking
Reasoning Models Can Be Effective Without Thinking
Wenjie Ma
Jingxuan He
Charlie Snell
Tyler Griggs
Sewon Min
Matei A. Zaharia
ReLM
LRM
94
36
1
14 Apr 2025
Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification
Anqi Zhang
Yulin Chen
Jane Pan
Chen Zhao
Aurojit Panda
Jinyang Li
He He
ReLM
LRM
86
11
0
07 Apr 2025
When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
Nishad Singhi
Hritik Bansal
Arian Hosseini
Aditya Grover
Kai-Wei Chang
Marcus Rohrbach
Anna Rohrbach
OffRL
LRM
72
3
0
01 Apr 2025
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond
Xiaoye Qu
Yafu Li
Zhaochen Su
Weigao Sun
Jianhao Yan
...
Chaochao Lu
Yue Zhang
Xian-Sheng Hua
Bowen Zhou
Yu Cheng
ReLM
OffRL
LRM
143
35
0
27 Mar 2025
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Yang Sui
Yu-Neng Chuang
Guanchu Wang
Jiamu Zhang
Tianyi Zhang
...
Hongyi Liu
Andrew Wen
Shaochen
Zhong
Hanjie Chen
OffRL
ReLM
LRM
167
71
0
20 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
OffRL
LRM
131
131
0
18 Mar 2025
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Yuxiao Qu
Matthew Y. R. Yang
Amrith Rajagopal Setlur
Lewis Tunstall
E. Beeching
Ruslan Salakhutdinov
Aviral Kumar
OffRL
114
28
0
10 Mar 2025
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
Yuchen Yan
Yongliang Shen
Yuhang Liu
Jin Jiang
Hao Fei
Jian Shao
Yueting Zhuang
LRM
ReLM
93
5
0
09 Mar 2025
Development and Enhancement of Text-to-Image Diffusion Models
Rajdeep Roshan Sahu
VLM
108
36
0
07 Mar 2025
Chain of Draft: Thinking Faster by Writing Less
Chain of Draft: Thinking Faster by Writing Less
Silei Xu
Wenhao Xie
Lingxiao Zhao
Pengcheng He
AI4TS
LRM
116
62
0
25 Feb 2025
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
Wenkai Yang
Shuming Ma
Yankai Lin
Furu Wei
LRM
73
35
0
25 Feb 2025
Confidence Improves Self-Consistency in LLMs
Confidence Improves Self-Consistency in LLMs
Amir Taubenfeld
Tom Sheffer
Eran Ofek
Amir Feder
Ariel Goldstein
Zorik Gekhman
G. Yona
LRM
78
11
0
10 Feb 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
ReLM
VLM
OffRL
AI4TS
LRM
303
1,503
0
22 Jan 2025
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
Haotian Luo
Li Shen
Haiying He
Yun Wang
Shiwei Liu
Wei Li
Naiqiang Tan
Xiaochun Cao
Dacheng Tao
VLM
LRM
142
77
0
22 Jan 2025
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
124
576
0
06 Aug 2024
Prompt Sketching for Large Language Models
Prompt Sketching for Large Language Models
Luca Beurer-Kellner
Mark Niklas Muller
Marc Fischer
Martin Vechev
KELM
LRM
53
4
0
08 Nov 2023
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Tushar Khot
H. Trivedi
Matthew Finlayson
Yao Fu
Kyle Richardson
Peter Clark
Ashish Sabharwal
ReLM
LRM
93
437
0
05 Oct 2022
The Efficiency Misnomer
The Efficiency Misnomer
Daoyuan Chen
Liuyi Yao
Dawei Gao
Ashish Vaswani
Yaliang Li
81
101
0
25 Oct 2021
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