Chengyu Shen

According to our database, Chengyu Shen authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models.

Hao Liang, Zhengyang Zhao, Meiyi Qiang, Mingrui Chen, Lu Ma, Rongyi Yu, Hengyi Feng, Shixuan Sun, Zimo Meng, Xiaochen Ma, Xuanlin Yang, Qifeng Cai, Ruichuan An, Bohan Zeng, Zhen Hao Wong, Chengyu Shen, Runming He, Zhaoyang Han, Yaowei Zheng, Fangcheng Fu, Conghui He, Bin Cui, Zhiyu Li, Weinan E, Wentao Zhang

CoRR, March, 2026

One-Eval: An Agentic System for Automated and Traceable LLM Evaluation.

Chengyu Shen, Yanheng Hou, Minghui Pan, Runming He, Zhen Hao Wong, Meiyi Qiang, Zhou Liu, Hao Liang, Peichao Lai, Zeang Sheng, Wentao Zhang

CoRR, March, 2026

Data Preparation for Large Language Models.

Hao Liang, Zhen Hao Wong, Rui-Tong Liu, Yu-Han Wang, Meiyi Qiang, Zhengyang Zhao, Chengyu Shen, Conghui He, Wentao Zhang, Bin Cui

J. Comput. Sci. Technol., January, 2026

GIFT: Unlocking Global Optimality in Post-Training via Finite-Temperature Gibbs Initialization.

Zhengyang Zhao, Lu Ma, Yizhen Jiang, Xiaochen Ma, Zimo Meng, Chengyu Shen, Lexiang Tang, Haoze Sun, Peng Pei, Wentao Zhang

CoRR, January, 2026

Let's Verify Math Questions Step by Step.

Chengyu Shen, Zhen Hao Wong, Runming He, Hao Liang, Meiyi Qiang, Zimo Meng, Zhengyang Zhao, Bohan Zeng, Zhengzhou Zhu, Bin Cui, Wentao Zhang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI.

Hao Liang, Xiaochen Ma, Zhou Liu, Zhen Hao Wong, Zhengyang Zhao, Zimo Meng, Runming He, Chengyu Shen, Qifeng Cai, Zhaoyang Han, Meiyi Qiang, Yalin Feng, Tianyi Bai, Zewei Pan, Ziyi Guo, Yizhen Jiang, Jingwen Deng, Qijie You, Peichao Lai, Tianyu Guo, Chi Hsu Tsai, Hengyi Feng, Rui Hu, Wenkai Yu, Junbo Niu, Bohan Zeng, Ruichuan An, Lu Ma, Jihao Huang, Yaowei Zheng, Conghui He, Linpeng Tang, Bin Cui, Weinan E, Wentao Zhang

CoRR, December, 2025

FlipVQA-Miner: Cross-Page Visual Question-Answer Mining from Textbooks.

Zhen Hao Wong, Jingwen Deng, Hao Liang, Runming He, Chengyu Shen, Wentao Zhang

CoRR, November, 2025

DARO: Difficulty-Aware Reweighting Policy Optimization.

Jingyu Zhou, Lu Ma, Hao Liang, Chengyu Shen, Bin Cui, Wentao Zhang

CoRR, October, 2025

Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions.

Lu Ma, Hao Liang, Meiyi Qiang, Lexiang Tang, Xiaochen Ma, Zhen Hao Wong, Junbo Niu, Chengyu Shen, Runming He, Bin Cui, Wentao Zhang

CoRR, June, 2025

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning.

Zhen Hao Wong, Jingwen Deng, Runming He, Zirong Chen, Qijie You, Hejun Dong, Hao Liang, Chengyu Shen, Bin Cui, Wentao Zhang

CoRR, June, 2025

2024

AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation.

Chuyan Xiong, Chengyu Shen, Xiaoqi Li, Kaichen Zhou, Jiaming Liu, Ruiping Wang, Hao Dong

CoRR, 2024

Autonomous Interactive Correction MLLM for Robust Robotic Manipulation.

Chuyan Xiong, Chengyu Shen, Xiaoqi Li, Kaichen Zhou, Jiaming Liu, Ruiping Wang, Hao Dong

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024