Author

Bo An

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#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