👋 About Me

My name is Yujie Liu (zh: 刘育杰). I am currently a second-year PhD student at the College of Computer Science and Artificial Intelligence, Fudan University, where I am also collaborating with the Shanghai AI Lab. My research interests primarily lie in Large Language Models and AI for Science.

I am advised by Prof. Wanli Ouyang and Dr. Dongzhan Zhou.

Prior to this, I completed my undergraduate studies at the School of Computer Engineering and Science, Shanghai University. Over the past few years, I have gained research experience in natural language processing and worked closely with Prof. Pinpin Zhu.

If you would like to connect or discuss potential collaborations, please feel free to drop me an email.

📝 Publications

• ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition

  Yujie Liu, Zonglin Yang, Tong Xie, Jinjie Ni, Ben Gao, Yuqiang Li, Shixiang Tang, Wanli Ouyang, Erik Cambria, Dongzhan Zhou

  Findings of the Association for Computational Linguistics (ACL 2026)

  Paper Code Project Dataset

• Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning

  Di Zhang, Jingdi Lei, Junxian Li, Xunzhi Wang, Yujie Liu, Zonglin Yang, Jiatong Li, Weida Wang, Suorong Yang, Jianbo Wu, Peng Ye, Wanli Ouyang, Dongzhan Zhou

  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)

  Paper Code

• MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search

  Zonglin Yang, Wanhao Liu, Ben Gao, Yujie Liu, Wei Li, Tong Xie, Lidong Bing, Wanli Ouyang, Erik Cambria, Dongzhan Zhou

  Advances in Neural Information Processing Systems (NeurIPS 2025)

  Paper Code

• Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?

  Junchi Yu, Yujie Liu, Jindong Gu, Philip Torr, Dongzhan Zhou

  Advances in Neural Information Processing Systems (NeurIPS 2025) Spotlight

  Paper

• SciEvalKit: An Open-source Evaluation Toolkit for Scientific General Intelligence

  Yiheng Wang, Yixin Chen, Shuo Li, et al., Yujie Liu, et al., Lei Bai

  arXiv preprint, 2025

  Paper Code

• Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning

  Suorong Yang, Peijia Li, Yujie Liu, Zhiming Xu, Peng Ye, Wanli Ouyang, Furao Shen, Dongzhan Zhou

  arXiv preprint, 2025

  Paper

🎓 Education

• 2025 – present, College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China
  • PhD student, supervised by Prof. Wanli Ouyang and Dr. Dongzhan Zhou
• School of Computer Engineering and Science, Shanghai University, Shanghai, China
  • Undergraduate studies; worked closely with Prof. Pinpin Zhu