Yu Yue

According to our database, Yu Yue authored at least 16 papers between 2013 and 2025.

Collaborative distances:

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

2025

Risk-Sensitive RL for Alleviating Exploration Dilemmas in Large Language Models.

Yuhua Jiang, Jiawei Huang, Yufeng Yuan, Xin Mao, Yu Yue, Qianchuan Zhao, Lin Yan

CoRR, September, 2025

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents.

Jiawei Wang, Jiacai Liu, Yuqian Fu, Yingru Li, Xintao Wang, Yuan Lin, Yu Yue, Lin Zhang, Yang Wang, Ke Wang

CoRR, September, 2025

Truncated Proximal Policy Optimization.

Tiantian Fan, Lingjun Liu, Yu Yue, Jiaze Chen, Chengyi Wang, Qiying Yu, Chi Zhang, Zhiqi Lin, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Bole Ma, Mofan Zhang, Gaohong Liu, Ru Zhang, Haotian Zhou, Cong Xie, Ruidong Zhu, Zhi Zhang, Xin Liu, Mingxuan Wang, Lin Yan, Yonghui Wu

CoRR, June, 2025

PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier.

Yuhua Jiang, Yuwen Xiong, Yufeng Yuan, Chao Xin, Wenyuan Xu, Yu Yue, Qianchuan Zhao, Lin Yan

CoRR, June, 2025

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning.

Jiaze Chen, Tiantian Fan, Xin Liu, Lingjun Liu, Zhiqi Lin, Mingxuan Wang, Chengyi Wang, Xiangpeng Wei, Wenyuan Xu, Yufeng Yuan, Yu Yue, Lin Yan, Qiying Yu, Xiaochen Zuo, Chi Zhang, Ruofei Zhu, Zhecheng An, Zhihao Bai, Yu Bao, Xingyan Bin, Jiangjie Chen, Feng Chen, Hongmin Chen, Riwei Chen, Liangqiang Chen, Zixin Chen, Jinsong Chen, Siyan Chen, Kaiyuan Chen, Zhi Chen, Jin Chen, Jiecao Chen, Jinxin Chi, Weinan Dai, Ning Dai, Jiahui Dai, Shihan Dou, Yantao Du, Zhengyin Du, Jianhui Duan, Chen Dun, Ting-Han Fan, Jiazhan Feng, Junda Feng, Ziyuan Feng, Yuwei Fu, Wenqi Fu, Hanjie Fu, Hao Ge, Hongyi Guo, Mingji Han, Li Han, Wenhao Hao, Xintong Hao, Qianyu He, Jerry He, Feng He, Wen Heng, Zehua Hong, Qi Hou, Liang Hu, Shengding Hu, Nan Hu, Kai Hua, Qi Huang, Ziyue Huang, Hongzhi Huang, Zihao Huang, Ting Huang, Wenhao Huang, Wei Jia, Bin Jia, Xiaoying Jia, Yuhua Jiang, Haobin Jiang, Ziheng Jiang, Kaihua Jiang, Chengquan Jiang, Jianpeng Jiao, Xiaoran Jin, Xing Jin, Xunhao Lai, Zheng Li, Xiang Li, Liyi Li, Hongkai Li, Zheng Li, Shengxian Wan, Ya Wang, Yunshui Li, Chenggang Li, Niuniu Li, Siyu Li, Xi Li, Xiao Li, Aoyan Li, Yuntao Li, Nianning Liang, Xinnian Liang

CoRR, April, 2025

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

Yu Yue, Yufeng Yuan, Qiying Yu, Xiaochen Zuo, Ruofei Zhu, Wenyuan Xu, Jiaze Chen, Cheng-Xiang Wang, Tiantian Fan, Zhengyin Du, Xiangpeng Wei, Xiangyu Yu, Gaohong Liu, Juncai Liu, Lingjun Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Ru Zhang, Xin Liu, Mingxuan Wang, Yonghui Wu, Lin Yan

CoRR, April, 2025

A Unified Pairwise Framework for RLHF: Bridging Generative Reward Modeling and Policy Optimization.

Wenyuan Xu, Xiaochen Zuo, Chao Xin, Yu Yue, Lin Yan, Yonghui Wu

CoRR, April, 2025

Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback.

Wei Shen, Guanlin Liu, Zheng Wu, Ruofei Zhu, Qingping Yang, Chao Xin, Yu Yue, Lin Yan

CoRR, March, 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

What's Behind PPO's Collapse in Long-CoT? Value Optimization Holds the Secret.

Yufeng Yuan, Yu Yue, Ruofei Zhu, Tiantian Fan, Lin Yan

CoRR, March, 2025

Multitarget Natural Compounds for Ischemic Stroke Treatment: Integration of Deep Learning Prediction and Experimental Validation.

Junyu Zhou, Chen Li, Yu Yue, Yong Kwan Kim, Sunmin Park

J. Chem. Inf. Model., 2025

2024

A Survey on Natural Language Counterfactual Generation.

Yongjie Wang, Xiaoqi Qiu, Yu Yue, Xu Guo, Zhiwei Zeng, Yuhong Feng, Zhiqi Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning.

Xiaoqi Qiu, Yongjie Wang, Xu Guo, Zhiwei Zeng, Yu Yue, Yuhong Feng, Chunyan Miao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Multi-scenario Learning MPC for Automated Driving in Unknown and Changing Environments.

Yu Yue, Zhenpo Wang, Jianhong Liu, Guoqaing Li

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

2022

Time complexity analysis of quantum difference methods for the multiscale transport equations.

He Xiaoyang, Jin Shi, Yu Yue

CoRR, 2022

2013

DAS: A dynamic assignment scheduling algorithm for stream computing in distributed applications.

Kun Wang, Yu Yue, Bo Liu

Proceedings of the 2013 IEEE Global Communications Conference, 2013