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Refinement-Guided Critique Learning: A Framework for Training Critique Models

delete2025-12-01
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PRE
AI
C
Chao Xiang
J
Junhao Zheng
X
Xinyu Mu
T
Tianshu Yu
张丽 (Li Zhang)
C
Chuxiong Sun
L
Lijuan Shi
F
Feng Wang
M
Mingchuan Yang
DOI:10.1016/j.inffus.2025.104002delete
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Abstract

Abstract

En 中文
• We propose Refinement-Guided Critique Learning, a framework for training critique models. • We design a new critic reward that address inaccurate annotation of critique preferences and poor consistency. • We evaluate the RGCL framework across the five tasks, where it achieves superior performance in terms of critique quality and refinement outcomes.

Journal

Information Fusion cover
Information Fusion
IF:
15.5
Papers:
4.1K
Citations:
2.7W

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Beijing University of Posts and Telecommunications
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Papers: 1.2K
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T
technology university
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113
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china telecom research institute
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83
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T
tsinghua university
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Citations: 137
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