From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
Xitai Jiang · Wenze Lin · Zihan Tang · Yang Yue · Shenzhi Wang · Gao Huang
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Xitai Jiang · Wenze Lin · Zihan Tang · Yang Yue · Shenzhi Wang · Gao Huang
Shenzhi Wang · Shixuan Liu · Jing Zhou · Chang Gao · Xiong-Hui Chen · Binghai Wang · An Yang · Shiji Song · Bowen Yu · Gao Huang · Junyang Lin
Binghai Wang · Yantao Liu · Yuxuan Liu · Tianyi Tang · Shenzhi Wang · Chang Gao · Chujie Zheng · Yichang Zhang · Le Yu · Shixuan Liu · Tao Gui · Qi Zhang · Xuanjing Huang · Bowen Yu · Fei Huang · Junyang Lin
Generative Reward Models (GenRMs) and LLM-as-a-Judge exhibit deceptive alignment by producing correct judgments for incorrect reasons, as they are trained and evaluated to prioritize Outcome Accuracy , which undermines their ability to generalize during RLHF. We introduce Rationale Consistency ,...