Jiajun Chai - RankMe

39 papers A* 5A 2C 2Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling. CoRR Dengcan Liu, Fengkai Yang, Xiaohan Wang, Shurui Yan, Jiajun Chai, Jiahao Li, Yikun Ban, Zhendong Mao, Wei Lin, Guojun Yin
2026	J	`jnl`	CPIG: Leveraging Consistency Policy With Intention Guidance for Multiagent Exploration. IEEE Trans. Cogn. Dev. Syst. Yuqian Fu, Yuanheng Zhu, Haoran Li, Zijie Zhao, Jiajun Chai, Dongbin Zhao
2026	J	`jnl`	Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards. CoRR Xiaodong Lu, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Zhijun Chen, Yu Luo, Fuzhen Zhuang, Yikun Ban, Deqing Wang
2026	A*	`conf`	Promoting Efficient Reasoning with Verifiable Stepwise Reward. AAAI Chuhuai Yue, Chengqi Dong, Yinan Gao, Hang He, Jiajun Chai, Wei Lin, Guojun Yin
2026	J	`jnl`	Rethinking Personalization in Large Language Models at the Token Level. CoRR Chenheng Zhang, Yijun Lu, Lizhe Fang, Chunyuan Zheng, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Yisen Wang, Zhouchen Lin
2026	J	`jnl`	SAE as a Crystal Ball: Interpretable Features Predict Cross-domain Transferability of LLMs without Training. CoRR Qi Zhang, Yifei Wang, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Yisen Wang
2026	J	`jnl`	Tacit mechanism: Bridging pre-training of individuality to multi-agent adversarial coordination. Neural Networks Shiqing Yao, Jiajun Chai, Haixin Yu, Yongzhe Chang, Tian-Tian Zhang, Yuanheng Zhu, Xueqian Wang
2026	J	`jnl`	Your Group-Relative Advantage Is Biased. CoRR Fengkai Yang, Zherui Chen, Xiaohan Wang, Xiaodong Lu, Jiajun Chai, Guojun Yin, Wei Lin, Shuai Ma, Fuzhen Zhuang, Deqing Wang, Yaodong Yang, Jianxin Li, Yikun Ban
2025	J	`jnl`	AWPO: Enhancing Tool-Use of Large Language Models through Explicit Integration of Reasoning Rewards. CoRR Zihan Lin, Xiaohan Wang, Hexiong Yang, Jiajun Chai, Jie Cao, Guojun Yin, Wei Lin, Ran He
2025	A*	`conf`	DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy. ICML Kaixuan Xu, Jiajun Chai, Sicheng Li, Yuqian Fu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy. CoRR Kaixuan Xu, Jiajun Chai, Sicheng Li, Yuqian Fu, Yuanheng Zhu, Dongbin Zhao
2025	A*	`conf`	Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning. ICLR Jiajun Chai, Sicheng Li, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu
2025	J	`jnl`	From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory. CoRR Siyu Xia, Zekun Xu, Jiajun Chai, Wentian Fan, Yan Song, Xiaohan Wang, Guojun Yin, Wei Lin, Haifeng Zhang, Jun Wang
2025	A*	`conf`	INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning. ICLR Yuqian Fu, Yuanheng Zhu, Jian Zhao, Jiajun Chai, Dongbin Zhao
2025	J	`jnl`	LDR: Learning Discrete Representation to Improve Noise Robustness in Multiagent Tasks. IEEE Trans. Syst. Man Cybern. Syst. Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Dongbin Zhao
2025	A	`conf`	Learning Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial Coordination. AAMAS Shiqing Yao, Jiajun Chai, Haixin Yu, Yongzhe Chang, Yuanheng Zhu, Xueqian Wang
2025	J	`jnl`	LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services. CoRR Hang He, Chuhuai Yue, Chengqi Dong, Mingxue Tian, Zhenfeng Liu, Jiajun Chai, Xiaohan Wang, Yufei Zhang, Qun Liao, Guojun Yin, Wei Lin, Chengcheng Wan, Haiying Sun, Ting Su
2025	J	`jnl`	MTIR-SQL: Multi-turn Tool-Integrated Reasoning Reinforcement Learning for Text-to-SQL. CoRR Zekun Xu, Siyu Xia, Chuhuai Yue, Jiajun Chai, Mingxue Tian, Xiaohan Wang, Wei Lin, Haoxuan Li, Guojun Yin
2025	J	`jnl`	Meta Learning Task Representation in Multiagent Reinforcement Learning: From Global Inference to Local Inference. IEEE Trans. Neural Networks Learn. Syst. Zijie Zhao, Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	Promoting Efficient Reasoning with Verifiable Stepwise Reward. CoRR Chuhuai Yue, Chengqi Dong, Yinan Gao, Hang He, Jiajun Chai, Guojun Yin, Wei Lin
2025	A*	`conf`	RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. EMNLP Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Guojun Yin, Wei Lin, Qichao Zhang, Dongbin Zhao
2025	J	`jnl`	RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. CoRR Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Guojun Yin, Wei Lin, Qichao Zhang, Dongbin Zhao
2025	J	`jnl`	RLFactory: A Plug-and-Play Reinforcement Learning Post-Training Framework for LLM Multi-Turn Tool-Use. CoRR Jiajun Chai, Guojun Yin, Zekun Xu, Chuhuai Yue, Yi Jia, Siyu Xia, Xiaohan Wang, Jiwen Jiang, Xiaoguang Li, Chengqi Dong, Hang He, Wei Lin
2025	J	`jnl`	ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models. CoRR Zihan Lin, Xiaohan Wang, Jie Cao, Jiajun Chai, Guojun Yin, Wei Lin, Ran He
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	J	`jnl`	SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning. CoRR Xiaojun Guo, Runyu Zhou, Yifei Wang, Qi Zhang, Chenheng Zhang, Stefanie Jegelka, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Yisen Wang
2025	J	`jnl`	ToolForge: A Data Synthesis Pipeline for Multi-Hop Search without Real-World APIs. CoRR Hao Chen, Zhexin Hu, Jiajun Chai, Haocheng Yang, Hang He, Xiaohan Wang, Wei Lin, Luhang Wang, Guojun Yin, Zhuofeng Zhao
2025	J	`jnl`	Training Multi-Image Vision Agents via End2End Reinforcement Learning. CoRR Chengqi Dong, Chuhuai Yue, Hang He, Rongge Mao, Fenghe Tang, S. Kevin Zhou, Zekun Xu, Xiaohan Wang, Jiajun Chai, Wei Lin, Guojun Yin
2025	—	`conf`	UIOrchestra: Generating High-Fidelity Code from UI Designs with a Multi-agent System. EMNLP (Findings) Chuhuai Yue, Jiajun Chai, Yufei Zhan, Zixiang Ding, Xihao Liang, Peixin Wang, Shihai Chen, Wang Yixuan, Wang Yanping, Guojun Yin, Wei Lin
2024	A	`conf`	Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. AAMAS Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu
2024	J	`jnl`	CPEG: Leveraging Consistency Policy with Consensus Guidance for Multi-agent Exploration. CoRR Yuqian Fu, Yuanheng Zhu, Haoran Li, Zijie Zhao, Jiajun Chai, Dongbin Zhao
2024	J	`jnl`	NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. IEEE Trans. Syst. Man Cybern. Syst. Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao
2023	J	`jnl`	UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE Trans. Neural Networks Learn. Syst. Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
2022	J	`jnl`	A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. CoRR Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao
2022	C	`conf`	LILAC: Learning a Leader for Cooperative Reinforcement Learning. CoG Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2022	C	`conf`	Learning Continuous 3-DoF Air-to-Air Close-in Combat Strategy using Proximal Policy Optimization. CoG Luntong Li, Zhiming Zhou, Jiajun Chai, Zhen Liu, Yuanheng Zhu, Jianqiang Yi
2022	J	`jnl`	NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. CoRR Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2022	J	`jnl`	UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. CoRR Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding