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LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought

LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought

9 May 2024
Zhuoxuan Jiang
Haoyuan Peng
Shanshan Feng
Fan Li
Dongsheng Li
    LRM
    KELM
ArXivPDFHTML

Papers citing "LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought"

15 / 15 papers shown
Title
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
Yibo Yan
Shen Wang
Jiahao Huo
Philip S. Yu
Xuming Hu
Qingsong Wen
40
1
0
23 Mar 2025
MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs
T. Zhang
Zhuoxuan Jiang
Haotian Zhang
Lin Lin
Shaohua Zhang
LRM
52
0
0
06 Mar 2025
Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Daniel J.H. Chung
Zhiqi Gao
Yurii Kvasiuk
Tianyi Li
Moritz Münchmeyer
Maja Rudolph
Frederic Sala
Sai Chaitanya Tadepalli
AIMat
34
3
0
19 Feb 2025
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
Raj Sanjay Shah
Sashank Varma
LRM
80
0
0
22 Jan 2025
Conceptual In-Context Learning and Chain of Concepts: Solving Complex
  Conceptual Problems Using Large Language Models
Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models
Nishtha N. Vaidya
Thomas Runkler
Thomas Hubauer
Veronika Haderlein-Hoegberg
Maja Mlicic Brandt
LRM
67
0
0
19 Dec 2024
Natural Language Understanding and Inference with MLLM in Visual
  Question Answering: A Survey
Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey
Jiayi Kuang
Jingyou Xie
Haohao Luo
Ronghao Li
Zhe Xu
Xianfeng Cheng
Yinghui Li
Xika Lin
Ying Shen
LRM
79
2
0
26 Nov 2024
Number Cookbook: Number Understanding of Language Models and How to Improve It
Number Cookbook: Number Understanding of Language Models and How to Improve It
Haotong Yang
Yi Hu
Shijia Kang
Zhouchen Lin
Muhan Zhang
LRM
31
2
0
06 Nov 2024
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
Fu-Chieh Chang
Yu-Ting Lee
Hui-Ying Shih
Pei-Yuan Wu
Pei-Yuan Wu
OffRL
LRM
62
0
0
31 Oct 2024
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical
  Reasoning
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
Joshua Ong Jun Leang
Aryo Pradipta Gema
Shay B. Cohen
ReLM
LRM
ReCod
21
2
0
14 Oct 2024
A Theoretical Understanding of Self-Correction through In-context
  Alignment
A Theoretical Understanding of Self-Correction through In-context Alignment
Yifei Wang
Yuyang Wu
Zeming Wei
Stefanie Jegelka
Yisen Wang
LRM
20
11
0
28 May 2024
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
LLMAG
ReLM
LRM
208
2,413
0
06 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
152
298
0
03 Oct 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 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
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 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
313
8,261
0
28 Jan 2022
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