Author

Wei-Qiang Wang

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#artificial intelligence Preprint Oct 2026

CoCA: Criterion-Aware Credit Assignment for Rubric-Based Reinforcement Learning

Rubric-based reinforcement learning (RL) evaluates responses against explicit criteria to construct rewards, offering a viable way to train large language models on open-ended tasks. However, standard methods compress criterion-level feedback into scalar rewards and assign uniform token advantages, leaving structured r...

Guang-Cheng Zhu, Ying-Fan Ma, Xing Zheng et al. · 0 citations

#machine learning Preprint Sep 2026

DE-Venus: A Data-Efficient RLVR Framework for Large Language Models

DE-Venus is presented, a unified framework for data-efficient RLVR that treats supervision as evolving state across data preparation and policy optimization and reduces annotation and training costs without sacrificing scalable RL execution.

Shen-Zhi Yang, Guang-Cheng Zhu, Kai Tang et al. · 0 citations