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Evaluating Mathematical Reasoning of Large Language Models: A Focus on
  Error Identification and Correction

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

2 June 2024
Xiaoyuan Li
Wenjie Wang
Moxin Li
Junrong Guo
Yang Zhang
Fuli Feng
    ELMLRM
ArXiv (abs)PDFHTMLGithub (8★)

Papers citing "Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction"

6 / 6 papers shown
Title
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
Jiayi Zeng
Yizhe Feng
Mengliang He
Wenhui Lei
Wei Zhang
Zeming Liu
Xiaoming Shi
Aimin Zhou
LRM
28
0
0
29 May 2025
When Do LLMs Admit Their Mistakes? Understanding the Role of Model Belief in Retraction
When Do LLMs Admit Their Mistakes? Understanding the Role of Model Belief in Retraction
Yuqing Yang
Robin Jia
KELMLRM
122
1
0
22 May 2025
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
352
8
0
23 Mar 2025
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
Zhuoshi Pan
Yu Li
Honglin Lin
Qizhi Pei
Zinan Tang
Wei Wu
Chenlin Ming
H. Vicky Zhao
Zeang Sheng
Lijun Wu
LRM
155
6
0
21 Mar 2025
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
Mingyang Song
Zhaochen Su
Xiaoye Qu
Jiawei Zhou
Yu Cheng
LRM
168
40
0
06 Jan 2025
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
112
8
0
06 Nov 2024
1