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LLM Critics Help Catch Bugs in Mathematics: Towards a Better
  Mathematical Verifier with Natural Language Feedback

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback

20 June 2024
Bofei Gao
Zefan Cai
Runxin Xu
Peiyi Wang
Ce Zheng
Runji Lin
K. Lu
Dayiheng Liu
Chang Zhou
Wen Xiao
Junjie Hu
Tianyu Liu
Baobao Chang
    LRM
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Papers citing "LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback"

18 / 18 papers shown
Title
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Xiaobao Wu
LRM
60
0
0
05 May 2025
RM-R1: Reward Modeling as Reasoning
RM-R1: Reward Modeling as Reasoning
X. Chen
Gaotang Li
Z. Wang
Bowen Jin
Cheng Qian
...
Y. Zhang
D. Zhang
Tong Zhang
Hanghang Tong
Heng Ji
ReLM
OffRL
LRM
40
0
0
05 May 2025
DeepCritic: Deliberate Critique with Large Language Models
DeepCritic: Deliberate Critique with Large Language Models
Wenkai Yang
Jingwen Chen
Yankai Lin
Ji-Rong Wen
ALM
LRM
23
0
0
01 May 2025
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
J. T. Wang
Jin Jiang
Yang Liu
M. Zhang
Xunliang Cai
LRM
29
0
0
18 Apr 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
45
1
0
23 Mar 2025
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation
Songjun Tu
Jiahao Lin
Xiangyu Tian
Qichao Zhang
Linjing Li
...
Nan Xu
Wei He
Xiangyuan Lan
D. Jiang
Dongbin Zhao
LRM
39
2
0
17 Mar 2025
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
Tong Wei
Yijun Yang
Junliang Xing
Yuanchun Shi
Zongqing Lu
Deheng Ye
OffRL
LRM
36
1
0
11 Mar 2025
MathClean: A Benchmark for Synthetic Mathematical Data Cleaning
MathClean: A Benchmark for Synthetic Mathematical Data Cleaning
Hao Liang
Meiyi Qiang
Y. Li
Zefeng He
Yongzhen Guo
Z. Zhu
Wentao Zhang
Bin Cui
33
0
0
26 Feb 2025
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking
Jinyang Wu
Mingkuan Feng
Shuai Zhang
Ruihan Jin
Feihu Che
Zengqi Wen
J. Tao
LRM
47
7
0
04 Feb 2025
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Ruilin Luo
Zhuofan Zheng
Yifan Wang
Yiyao Yu
Xinzhe Ni
Zicheng Lin
Jin Zeng
Yujiu Yang
LRM
45
12
0
08 Jan 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-Xi Cheng
LRM
38
29
0
06 Jan 2025
Malware Classification using a Hybrid Hidden Markov Model-Convolutional
  Neural Network
Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network
Ritik Mehta
Olha Jurecková
Mark Stamp
51
0
0
25 Dec 2024
Improving LLM Reasoning through Scaling Inference Computation with
  Collaborative Verification
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification
Zhenwen Liang
Ye Liu
Tong Niu
Xiangliang Zhang
Yingbo Zhou
Semih Yavuz
LRM
19
17
0
05 Oct 2024
Towards a Unified View of Preference Learning for Large Language Models:
  A Survey
Towards a Unified View of Preference Learning for Large Language Models: A Survey
Bofei Gao
Feifan Song
Yibo Miao
Zefan Cai
Z. Yang
...
Houfeng Wang
Zhifang Sui
Peiyi Wang
Baobao Chang
Baobao Chang
41
11
0
04 Sep 2024
Critic-CoT: Boosting the reasoning abilities of large language model via
  Chain-of-thoughts Critic
Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic
Xin Zheng
Jie Lou
Boxi Cao
Xueru Wen
Yuqiu Ji
Hongyu Lin
Y. Lu
Xianpei Han
Debing Zhang
Le Sun
LLMAG
OffRL
LRM
ReLM
KELM
20
8
1
29 Aug 2024
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
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
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
1