Shuo Yu

According to our database, Shuo Yu authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting.

Bokai Pan, Mingyue Cheng, Zhiding Liu, Shuo Yu, Xiaoyu Tao, Yuchong Wu, Qi Liu, Defu Lian, Enhong Chen

CoRR, April, 2026

StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning.

Daoyu Wang, Qingchuan Li, Mingyue Cheng, Jie Ouyang, Shuo Yu, Qi Liu, Enhong Chen

CoRR, April, 2026

TableMind++: An Uncertainty-Aware Programmatic Agent for Tool-Augmented Table Reasoning.

Mingyue Cheng, Shuo Yu, Chuang Jiang, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu, Enhong Chen

CoRR, March, 2026

MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning.

Xiaoyu Tao, Mingyue Cheng, Ze Guo, Shuo Yu, Yaguo Liu, Qi Liu, Shijin Wang

CoRR, February, 2026

PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization.

Tingyue Pan, Jie Ouyang, Mingyue Cheng, Qingchuan Li, Zirui Liu, Mingfan Pan, Shuo Yu, Qi Liu

CoRR, January, 2026

Mind2Report: A Cognitive Deep Research Agent for Expert-Level Commercial Report Synthesis.

Mingyue Cheng, Daoyu Wang, Qi Liu, Shuo Yu, Xiaoyu Tao, Yuqian Wang, Chengzhong Chu, Yu Duan, Mingkang Long, Enhong Chen

CoRR, January, 2026

MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation.

Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao

Proceedings of the ACM Web Conference 2026, 2026

2025

Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning.

Mingyue Cheng, Jie Ouyang, Shuo Yu, Ruiran Yan, Yucong Luo, Zirui Liu, Daoyu Wang, Qi Liu, Enhong Chen

CoRR, November, 2025

PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature.

Daoyu Wang, Mingyue Cheng, Qi Liu, Shuo Yu, Zirui Liu, Ze Guo

CoRR, October, 2025

A Survey on Knowledge-Oriented Retrieval-Augmented Generation.

Mingyue Cheng, Yucong Luo, Jie Ouyang, Qi Liu, Huijie Liu, Li Li, Shuo Yu, Bohou Zhang, Jiawei Cao, Jie Ma, Daoyu Wang, Enhong Chen

CoRR, March, 2025

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study.

Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Revisiting the Solution of Meta KDD Cup 2024: CRAG.

Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen

CoRR, 2024

A Knowledge-Centric Benchmarking Framework and Empirical Study for Retrieval-Augmented Generation.

Shuo Yu, Mingyue Cheng, Jiqian Yang, Jie Ouyang

CoRR, 2024