Songjun Tu

According to our database, Songjun Tu authored at least 16 papers between 2024 and 2026.

Collaborative distances:

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

2026

AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement Learning.

Jingbo Sun, Wenyue Chong, Songjun Tu, Qichao Zhang, Yaocheng Zhang, Jiajun Chai, Xiaohan Wang, Wei Lin, Guojun Yin, Dongbin Zhao

CoRR, April, 2026

π-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data.

Yaocheng Zhang, Yuanheng Zhu, Wenyue Chong, Songjun Tu, Qichao Zhang, Jiajun Chai, Xiaohan Wang, Wei Lin, Guojun Yin, Dongbin Zhao

CoRR, April, 2026

Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning.

Jingbo Sun, Qichao Zhang, Songjun Tu, Xing Fang, Yupeng Zheng, Haoran Li, Ke Chen, Dongbin Zhao

CoRR, April, 2026

Dynamic Dual-Granularity Skill Bank for Agentic RL.

Songjun Tu, Chengdong Xu, Qichao Zhang, Yaocheng Zhang, Xiangyuan Lan, Linjing Li, Dongbin Zhao

CoRR, March, 2026

PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review.

Songjun Tu, Yiwen Ma, Jiahao Lin, Qichao Zhang, Xiangyuan Lan, Junfeng. Li, Nan Xu, Linjing Li, Dongbin Zhao

CoRR, January, 2026

2025

Perception-Consistency Multimodal Large Language Models Reasoning via Caption-Regularized Policy Optimization.

Songjun Tu, Qichao Zhang, Jingbo Sun, Yuqian Fu, Linjing Li, Xiangyuan Lan, Dongmei Jiang, Yaowei Wang, Dongbin Zhao

CoRR, September, 2025

SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning.

Yuqian Fu, Tinghong Chen, Jiajun Chai, Xihuai Wang, Songjun Tu, Guojun Yin, Wei Lin, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao

CoRR, June, 2025

AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs.

Di He, Ajay Jaiswal, Songjun Tu, Li Shen, Ganzhao Yuan, Shiwei Liu, Lu Yin

CoRR, June, 2025

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL.

Songjun Tu, Jiahao Lin, Qichao Zhang, Xiangyu Tian, Linjing Li, Xiangyuan Lan, Dongbin Zhao

CoRR, May, 2025

Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation.

Songjun Tu, Jiahao Lin, Xiangyu Tian, Qichao Zhang, Linjing Li, Yuqian Fu, Nan Xu, Wei He, Xiangyuan Lan, Dongmei Jiang, Dongbin Zhao

CoRR, March, 2025

Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning.

Yaocheng Zhang, Yuanheng Zhu, Yuqian Fu, Songjun Tu, Dongbin Zhao

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model.

Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning.

Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation.

Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning.

Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Leader-following consensus for linear multi-agent systems with transient performance improvement: A reset control approach.

Wenfeng Hu, Wei Ge, Songjun Tu, Ji Ma

J. Frankl. Inst., 2024