---
title: "Heung-Yeung Shum — papers of 2025 — Elamur Research"
description: "Heung-Yeung Shum — papers of 2025: 1 paper on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/heung-yeung-shum/year/2025/"
---
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[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Heung-Yeung Shum](https://md.research.elamur.ai/free/en/authors/heung-yeung-shum/) / 2025

# Heung-Yeung Shum — papers of 2025 — Elamur Research

1 paper · [all years of Heung-Yeung Shum](https://md.research.elamur.ai/free/en/authors/heung-yeung-shum/#years)

**[Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model](https://md.research.elamur.ai/free/en/papers/hu-2025-open-reasoner-zero-open-source/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jingcheng Hu, Yinmin Zhang, Qi Han, et al.*2025 · 128 citations*
