Songjun Tu - RankMe

16 papers A* 2A 3Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Dual-Granularity Skill Bank for Agentic RL. CoRR Songjun Tu, Chengdong Xu, Qichao Zhang, Yaocheng Zhang, Xiangyuan Lan, Linjing Li, Dongbin Zhao
2026	J	`jnl`	PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review. CoRR Songjun Tu, Yiwen Ma, Jiahao Lin, Qichao Zhang, Xiangyuan Lan, Junfeng. Li, Nan Xu, Linjing Li, Dongbin Zhao
2025	J	`jnl`	AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs. CoRR Di He, Ajay Jaiswal, Songjun Tu, Li Shen, Ganzhao Yuan, Shiwei Liu, Lu Yin
2025	J	`jnl`	Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation. CoRR Songjun Tu, Jiahao Lin, Xiangyu Tian, Qichao Zhang, Linjing Li, Yuqian Fu, Nan Xu, Wei He, Xiangyuan Lan, Dongmei Jiang, Dongbin Zhao
2025	A*	`conf`	In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. AAAI Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao
2025	J	`jnl`	Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL. CoRR Songjun Tu, Jiahao Lin, Qichao Zhang, Xiangyu Tian, Linjing Li, Xiangyuan Lan, Dongbin Zhao
2025	A	`conf`	Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning. AAMAS Yaocheng Zhang, Yuanheng Zhu, Yuqian Fu, Songjun Tu, Dongbin Zhao
2025	A	`conf`	Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. AAMAS Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao
2025	J	`jnl`	Perception-Consistency Multimodal Large Language Models Reasoning via Caption-Regularized Policy Optimization. CoRR Songjun Tu, Qichao Zhang, Jingbo Sun, Yuqian Fu, Linjing Li, Xiangyuan Lan, Dongmei Jiang, Yaowei Wang, Dongbin Zhao
2025	J	`jnl`	SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning. CoRR Yuqian Fu, Tinghong Chen, Jiajun Chai, Xihuai Wang, Songjun Tu, Guojun Yin, Wei Lin, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao
2025	A	`conf`	Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning. AAMAS Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao
2025	J	`jnl`	Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning. CoRR Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao
2025	A*	`conf`	Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation. ICLR Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao
2024	J	`jnl`	In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. CoRR Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao
2024	J	`jnl`	Leader-following consensus for linear multi-agent systems with transient performance improvement: A reset control approach. J. Frankl. Inst. Wenfeng Hu, Wei Ge, Songjun Tu, Ji Ma
2024	J	`jnl`	Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. CoRR Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao