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ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models

ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models

20 June 2025
Bin Chen
Xinzge Gao
Chuanrui Hu
Penghang Yu
Hua Zhang
Bing-Kun Bao
    ReLMLRM
ArXiv (abs)PDFHTML

Papers citing "ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models"

4 / 4 papers shown
Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning
Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning
Saksham Khatwani
He Cheng
Majid Afshar
Dmitriy Dligach
Yanjun Gao
LRM
117
1
0
22 Sep 2025
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models
Xiangxiang Zhang
Jingxuan Wei
Donghong Zhong
Qi Chen
Caijun Jia
...
Ruofeng Tang
Xingyue Huang
B. Zhao
Mengyang Zhang
Y. Zhou
OffRLLRM
159
3
0
07 Aug 2025
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner
Tao He
Rongchuan Mu
Lizi Liao
Yixin Cao
Ming Liu
Bing Qin
OffRLLRM
155
7
0
31 Jul 2025
RecGPT Technical Report
RecGPT Technical Report
Chao Yi
Dian Chen
Gaoyang Guo
Jiakai Tang
Jian Wu
...
Zhengyang Wang
Zhibo Xiao
Zhixin Ma
Zile Zhou
Ziqi Zhang
130
0
0
30 Jul 2025
1
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