Yuxuan Tong

According to our database, Yuxuan Tong authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

GameGen-Verifier: Parallel Keypoint-Based Verification for LLM-Generated Games via Runtime State Injection.

Chaobo Jia, Ruipeng Wan, Ting Sun, Weihao Tan, Borui Wan, Yuxuan Tong, Guangming Sheng, Hong Xu

CoRR, May, 2026

The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL.

Yingru Li, Jiawei Xu, Ziniu Li, Jiacai Liu, Wei Liu, Yuxuan Tong, Longtao Zheng, Zhenghai Xue, Yaxiang Zhang, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang

CoRR, February, 2026

Laminar: A Scalable Asynchronous RL Post-Training Framework.

Guangming Sheng, Yuxuan Tong, Borui Wan, Wang Zhang, Chaobo Jia, Xibin Wu, Yuqi Wu, Xiang Li, Chi Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

Taming the Tail: Stable LLM Reinforcement Learning via Dynamic Vocabulary Pruning.

Yingru Li, Jiawei Xu, Jiacai Liu, Yuxuan Tong, Ziniu Li, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang

CoRR, December, 2025

Trust Region Masking for Long-Horizon LLM Reinforcement Learning.

Yingru Li, Jiacai Liu, Jiawei Xu, Yuxuan Tong, Ziniu Li, Baoxiang Wang

CoRR, December, 2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Tiantian Fan, Gaohong Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Weinan Dai, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Mu Qiao, Yonghui Wu, Mingxuan Wang

CoRR, March, 2025

Demystifying Long Chain-of-Thought Reasoning in LLMs.

Edward Y. Chang, Yuxuan Tong, Morry Niu, Graham Neubig, Xiang Yue

CoRR, February, 2025

Concentration phenomena of normalized solutions for a fractional p-Laplacian Schrödinger-Choquard system in RN.

Yuxuan Tong, Thin Van Nguyen, Sihua Liang

Commun. Nonlinear Sci. Numer. Simul., 2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Demystifying Long Chain-of-Thought Reasoning.

Shiming Yang, Yuxuan Tong, Xinyao Niu, Graham Neubig, Xiang Yue

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving.

Yuxuan Tong, Xiwen Zhang, Rui Wang, Ruidong Wu, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.

Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023