Runze Liu - RankMe

25 papers A* 8Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. AAAI Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou
2026	J	`jnl`	Temporal Difference Learning with Constrained Initial Representations. CoRR Jiafei Lyu, Jingwen Yang, Zhongjian Qiao, Runze Liu, Zeyuan Liu, Deheng Ye, Zongqing Lu, Xiu Li
2025	J	`jnl`	A Survey of Reinforcement Learning for Large Reasoning Models. CoRR Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou
2025	J	`jnl`	A large language model-driven reward design framework via dynamic feedback for reinforcement learning. Knowl. Based Syst. Shengjie Sun, Runze Liu, Jiafei Lyu, Jingwen Yang, Liangpeng Zhang, Xiu Li
2025	J	`jnl`	ASPO: Asymmetric Importance Sampling Policy Optimization. CoRR Jiakang Wang, Runze Liu, Lei Lin, Wenping Hu, Xiu Li, Fuzheng Zhang, Guorui Zhou, Kun Gai
2025	J	`jnl`	Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models. CoRR Runze Liu, Jiakang Wang, Yuling Shi, Zhihui Xie, Chenxin An, Kaiyan Zhang, Jian Zhao, Xiaodong Gu, Lei Lin, Wenping Hu, Xiu Li, Fuzheng Zhang, Guorui Zhou, Kun Gai
2025	J	`jnl`	Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration. CoRR Junqi Gao, Zhichang Guo, Dazhi Zhang, Dong Li, Runze Liu, Pengfei Li, Kai Tian, Biqing Qi
2025	J	`jnl`	Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling. CoRR Runze Liu, Junqi Gao, Jian Zhao, Kaiyan Zhang, Xiu Li, Biqing Qi, Wanli Ouyang, Bowen Zhou
2025	A*	`conf`	Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint. ICLR Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jingwen Yang, Zongqing Lu, Xiu Li
2025	J	`jnl`	GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. CoRR Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou
2025	J	`jnl`	PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning. CoRR Shengjie Sun, Jiafei Lyu, Runze Liu, Mengbei Yan, Bo Liu, Deheng Ye, Xiu Li
2025	A*	`conf`	RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. AAAI Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang
2025	A*	`conf`	ReviewRL: Towards Automated Scientific Review with RL. EMNLP Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou
2025	J	`jnl`	ReviewRL: Towards Automated Scientific Review with RL. CoRR Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou
2025	J	`jnl`	Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR. CoRR Jiakang Wang, Runze Liu, Fuzheng Zhang, Xiu Li, Guorui Zhou
2025	A*	`conf`	VLP: Vision-Language Preference Learning for Embodied Manipulation. EMNLP Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li
2025	J	`jnl`	VLP: Vision-Language Preference Learning for Embodied Manipulation. CoRR Runze Liu, Chenjia Bai, Jiafei Lyu, Shengjie Sun, Yali Du, Xiu Li
2024	J	`jnl`	A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning. CoRR Shengjie Sun, Runze Liu, Jiafei Lyu, Jingwen Yang, Liangpeng Zhang, Xiu Li
2024	—	`conf`	Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation. ICANN (4) Shengjie Sun, Jiafei Lyu, Lu Li, Jiazhe Guo, Mengbei Yan, Runze Liu, Xiu Li
2024	A*	`conf`	PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation. ICML Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li
2024	J	`jnl`	RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. CoRR Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang
2024	A*	`conf`	SEABO: A Simple Search-Based Method for Offline Imitation Learning. ICLR Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
2024	J	`jnl`	SEABO: A Simple Search-Based Method for Offline Imitation Learning. CoRR Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
2023	J	`jnl`	Zero-shot Preference Learning for Offline RL via Optimal Transport. CoRR Runze Liu, Yali Du, Fengshuo Bai, Jiafei Lyu, Xiu Li
2022	A*	`conf`	Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning. NeurIPS Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang