Heung-Yeung Shum

Emeritus, Microsoft

1 paper at NeurIPS 2025

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Poster Session 2

1 paper

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

#312 · Jingcheng Hu, Yinmin Zhang, Qi Han, Daxin Jiang, Xiangyu Zhang, Heung-Yeung Shum

Open-Reasoner-Zero, The first open source implementation of large-scale reasoning-oriented RL training focusing on scalability, simplicity and accessibility