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What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning

What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning

28 May 2025
Gangwei Jiang
Yahui Liu
Zhaoyi Li
Qi Wang
Fuzheng Zhang
Linqi Song
Ying Wei
Defu Lian
    LRM
ArXivPDFHTML

Papers citing "What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning"

11 / 11 papers shown
Title
R-PRM: Reasoning-Driven Process Reward Modeling
R-PRM: Reasoning-Driven Process Reward Modeling
Shuaijie She
Junxiao Liu
Yifeng Liu
Jiajun Chen
Xin Huang
Shujian Huang
LRM
59
5
0
27 Mar 2025
Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
Kanishk Gandhi
Ayush Chakravarthy
Anikait Singh
Nathan Lile
Noah D. Goodman
ReLM
LRM
118
60
0
03 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
Jing Liu
Weixun Wang
Xingyuan Bu
...
Zhongyuan Peng
Zhenru Zhang
Zhicheng Zheng
Wenbo Su
Bo Zheng
ELM
LRM
101
13
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
66
14
0
24 Feb 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
LIMO: Less is More for Reasoning
LIMO: Less is More for Reasoning
Yixin Ye
Zhen Huang
Yang Xiao
Ethan Chern
Shijie Xia
Pengfei Liu
LRM
86
132
0
05 Feb 2025
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Bradley Brown
Jordan Juravsky
Ryan Ehrlich
Ronald Clark
Quoc V. Le
Christopher Ré
Azalia Mirhoseini
ALM
LRM
156
278
0
03 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
104
576
0
06 Aug 2024
Deductive Verification of Chain-of-Thought Reasoning
Deductive Verification of Chain-of-Thought Reasoning
Z. Ling
Yunhao Fang
Xuanlin Li
Zhiao Huang
Mingu Lee
Roland Memisevic
Hao Su
ReLM
LRM
45
130
0
06 Jun 2023
Towards Revealing the Mystery behind Chain of Thought: A Theoretical
  Perspective
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
Guhao Feng
Bohang Zhang
Yuntian Gu
Haotian Ye
Di He
Liwei Wang
LRM
75
236
0
24 May 2023
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
111
1,300
0
10 Mar 2019
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