Qiaosheng Zhang

31 papers A* 8Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adaptive Theory of Mind for LLM-based Multi-Agent Coordination. AAAI Chunjiang Mu, Ya Zeng, Qiaosheng Zhang, Kun Shao, Chen Chu, Hao Guo, Danyang Jia, Zhen Wang, Shuyue Hu
2026	J	`jnl`	Adaptive Theory of Mind for LLM-based Multi-Agent Coordination. CoRR Chunjiang Mu, Ya Zeng, Qiaosheng Zhang, Kun Shao, Chen Chu, Hao Guo, Danyang Jia, Zhen Wang, Shuyue Hu
2026	J	`jnl`	Community detection in the multi-view stochastic block model. Neurocomputing Yexin Zhang, Zhongtian Ma, Qiaosheng Zhang, Zhen Wang, Xuelong Li
2026	A*	`conf`	Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute. AAAI Jianhao Chen, Zishuo Xun, Bocheng Zhou, Han Qi, Hangfan Zhang, Qiaosheng Zhang, Yang Chen, Wei Hu, Yuzhong Qu, Shuyue Hu
2026	A*	`conf`	ICL-Router: In-Context Learned Model Representations for LLM Routing. AAAI Chenxu Wang, Hao Li, Yiqun Zhang, Linyao Chen, Jianhao Chen, Ping Jian, Qiaosheng Zhang, Shuyue Hu
2026	J	`jnl`	LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing. CoRR Hao Li, Yiqun Zhang, Zhaoyan Guo, Chenxu Wang, Shengji Tang, Qiaosheng Zhang, Yang Chen, Biqing Qi, Peng Ye, Lei Bai, Zhen Wang, Shuyue Hu
2026	A*	`conf`	The Avengers: A Routing Recipe for Collective Intelligence in Language Models. AAAI Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang, Peng Ye, Shi Feng, Xinrun Wang, Xu Jia, Lei Bai, Shuyue Hu
2026	J	`jnl`	Unsupervised Skill Discovery Through Skill Regions Differentiation. IEEE Trans. Neural Networks Learn. Syst. Ting Xiao, Jiakun Zheng, Rushuai Yang, Kang Xu, Qiaosheng Zhang, Peng Liu, Zhe Wang, Chenjia Bai
2025	J	`jnl`	Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute. CoRR Jianhao Chen, Zishuo Xun, Bocheng Zhou, Han Qi, Qiaosheng Zhang, Yang Chen, Wei Hu, Yuzhong Qu, Wanli Ouyang, Shuyue Hu
2025	A*	`conf`	Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models. ICML Zhongtian Ma, Qiaosheng Zhang, Bocheng Zhou, Yexin Zhang, Shuyue Hu, Zhen Wang
2025	J	`jnl`	Graph Feedback Bandits on Similar Arms: With and Without Graph Structures. CoRR Han Qi, Fei Guo, Li Zhu, Qiaosheng Zhang, Xuelong Li
2025	J	`jnl`	ICL-Router: In-Context Learned Model Representations for LLM Routing. CoRR Chenxu Wang, Hao Li, Yiqun Zhang, Linyao Chen, Jianhao Chen, Ping Jian, Peng Ye, Qiaosheng Zhang, Shuyue Hu
2025	J	`jnl`	If Multi-Agent Debate is the Answer, What is the Question? CoRR Hangfan Zhang, Zhiyao Cui, Xinrun Wang, Qiaosheng Zhang, Zhen Wang, Dinghao Wu, Shuyue Hu
2025	A*	`conf`	Online Preference Alignment for Language Models via Count-based Exploration. ICLR Chenjia Bai, Yang Zhang, Shuang Qiu, Qiaosheng Zhang, Kang Xu, Xuelong Li
2025	J	`jnl`	Online Preference Alignment for Language Models via Count-based Exploration. CoRR Chenjia Bai, Yang Zhang, Shuang Qiu, Qiaosheng Zhang, Kang Xu, Xuelong Li
2025	J	`jnl`	PerPilot: Personalizing VLM-based Mobile Agents via Memory and Exploration. CoRR Xin Wang, Zhiyao Cui, Hao Li, Ya Zeng, Chenxu Wang, Ruiqi Song, Yihang Chen, Kun Shao, Qiaosheng Zhang, Jinzhuo Liu, Siyue Ren, Shuyue Hu, Zhen Wang
2025	J	`jnl`	Provably efficient information-directed sampling algorithms for multi-agent reinforcement learning. Artif. Intell. Qiaosheng Zhang, Chenjia Bai, Shuyue Hu, Zhen Wang, Xuelong Li
2025	J	`jnl`	Sample-Efficient Reinforcement Learning From Human Feedback via Information-Directed Sampling. IEEE Trans. Inf. Theory Han Qi, Haochen Yang, Qiaosheng Zhang, Zhuoran Yang
2025	J	`jnl`	The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants. CoRR Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang, Peng Ye, Shi Feng, Daling Wang, Zhen Wang, Xinrun Wang, Xu Jia, Lei Bai, Wanli Ouyang, Shuyue Hu
2025	J	`jnl`	The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback. CoRR Hangfan Zhang, Siyuan Xu, Zhimeng Guo, Huaisheng Zhu, Shicheng Liu, Xinrun Wang, Qiaosheng Zhang, Yang Chen, Peng Ye, Lei Bai, Shuyue Hu
2025	J	`jnl`	Unsupervised Skill Discovery through Skill Regions Differentiation. CoRR Ting Xiao, Jiakun Zheng, Rushuai Yang, Kang Xu, Qiaosheng Zhang, Peng Liu, Chenjia Bai
2024	J	`jnl`	Community Detection in the Multi-View Stochastic Block Model. CoRR Yexin Zhang, Zhongtian Ma, Qiaosheng Zhang, Zhen Wang, Xuelong Li
2024	A*	`conf`	Constrained Ensemble Exploration for Unsupervised Skill Discovery. ICML Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li
2024	J	`jnl`	Constrained Ensemble Exploration for Unsupervised Skill Discovery. CoRR Chenjia Bai, Rushuai Yang, Qiaosheng Zhang, Kang Xu, Yi Chen, Ting Xiao, Xuelong Li
2024	J	`jnl`	Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning. CoRR Changhong Wang, Xudong Yu, Chenjia Bai, Qiaosheng Zhang, Zhen Wang
2024	J	`jnl`	Ensemble successor representations for task generalization in offline-to-online reinforcement learning. Sci. China Inf. Sci. Changhong Wang, Xudong Yu, Chenjia Bai, Qiaosheng Zhang, Zhen Wang
2024	—	`conf`	Matrix Completion With Hypergraphs: Sharp Thresholds and Efficient Algorithms. LoG Zhongtian Ma, Qiaosheng Zhang, Zhen Wang
2024	J	`jnl`	Matrix Completion with Hypergraphs: Sharp Thresholds and Efficient Algorithms. CoRR Zhongtian Ma, Qiaosheng Zhang, Zhen Wang
2024	A*	`conf`	On the Role of General Function Approximation in Offline Reinforcement Learning. ICLR Chenjie Mao, Qiaosheng Zhang, Zhen Wang, Xuelong Li
2024	J	`jnl`	Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning. CoRR Qiaosheng Zhang, Chenjia Bai, Shuyue Hu, Zhen Wang, Xuelong Li
2024	J	`jnl`	Understanding When and Why Graph Attention Mechanisms Work via Node Classification. CoRR Zhongtian Ma, Qiaosheng Zhang, Bocheng Zhou, Yexin Zhang, Shuyue Hu, Zhen Wang