Get started
Author

Zhouliang Yu

ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots
2024 · Zhixuan Xu, Chongkai Gao, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 9
PDF
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
2024 · Du, Xinrun, Yu, Zhouliang, et al. · arXiv (Cornell University) · 6
PDF
Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning
2025 · Wang, Haiming, Unsal, Mert, et al. · arXiv (Cornell University) · 2
PDF
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
2024 · Guo, Jiawei, Li, Ziming, et al. · arXiv (Cornell University) · 1
PDF
Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning
2026 · Yuan, Yuhuan, Yu, Zhouliang, et al. · arXiv (Cornell University)
PDF
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
2026 · Zhouliang Yu, Ruotian Peng, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
2026 · Zhongyuan Peng, Yifan Yao, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
2026 · Siwei Wu, JinCheng Ren, et al. · Findings of the Association for Computational Linguistics: EACL
PDF
PAPO: Stabilizing Rubric Integration Training via Decoupled Advantage Normalization
2026 · Zelin Tan, Zhouliang Yu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
2025 · P Team, Wu, Siwei, et al. · arXiv (Cornell University)
PDF
Generating Symbolic World Models via Test-time Scaling of Large Language Models
2025 · Yu, Zhouliang, Yuan, Yuhuan, et al. · arXiv (Cornell University)
PDF
Works count: 12
Citation count: 18
H-index: 2
I10-index:
Year
Topic
Type