Zhen Hao Wong

According to our database, Zhen Hao Wong authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions.

Lu Ma, Hao Liang, Meiyi Qiang, Lexiang Tang, Xiaochen Ma, Zhen Hao Wong, Junbo Niu, Chengyu Shen, Runming He, Bin Cui, Wentao Zhang

CoRR, June, 2025

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning.

Zhen Hao Wong, Jingwen Deng, Runming He, Zirong Chen, Qijie You, Hejun Dong, Hao Liang, Chengyu Shen, Bin Cui, Wentao Zhang

CoRR, June, 2025

Let's Verify Math Questions Step by Step.

Chengyu Shen, Zhen Hao Wong, Runming He, Hao Liang, Meiyi Qiang, Zimo Meng, Zhengyang Zhao, Bohan Zeng, Zhengzhou Zhu, Bin Cui, Wentao Zhang

CoRR, May, 2025

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration.

Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Xinlin Zhuang, Jiahui Peng, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.

Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

CoRR, 2024

Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks.

Zhen Hao Wong, Hansi Yang, Xiaoyi Fu, Quanming Yao

CoRR, 2024

2023

Ensemble Learning for Graph Neural Networks.

Zhen Hao Wong, Ling Yue, Quanming Yao

CoRR, 2023