👋 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, advised by Prof. Wanli Ouyang and Dr. Dongzhan Zhou. I also collaborate with the Shanghai AI Lab. My research interests focus primarily on Large Language Models and AI for Science.

I completed my undergraduate studies at the School of Computer Engineering and Science, Shanghai University. During this time, I conducted research in natural language processing under the supervision of Prof. Pinpin Zhu.

If you would like to discuss research or potential collaborations, please feel free to contact me via 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

  • Execution-aware agent harness for accessible and responsible synthetic biology automation

    Yuan Gao*, Lihao Fu*, Yujie Liu*, Yizhou Luo*, Jianzhi Zhang*, Wenzhuo Li, Yunquan Lan, Yanjing Wang, Yingyi Li, Han Jiang, Yongcan Chen, Nan (Dorothy) Zhang, Tessa Alexanian, Lucas Boldrini, Xiao Yi, Boyang Li, Hamid Alinejad-Rokny, Teng Wang, Min Yang, Dongzhan Zhou, Chenli Liu, Tong Si

    bioRxiv preprint, 2025

    Paper

  • 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

  • LabOPBench: A Multimodal Benchmark for Evidence-Grounded Laboratory Decision Making

    Jingyuan Li, Yujie Liu, Yijie Dai, Xiaoyu Yuan, Nian Ran, Huajie Niu, Ming Zhu, Shuwen Zhao, Chenxi Li, Fenghao Lu, Jiahao Li, Xinyu Gu, Zhe Liu, Long Xu, Wenlong Zhang, Bo Zhang, Lei Bai, Peiyu Zhang, Minting Pan, Weinan Zhang, Dongzhan Zhou

    arXiv preprint, 2026

    Paper Code 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

  • LabCompiler: A Framework for Verifiable Human-Machine Laboratory Execution from Imperfect Protocols

    Jingyuan Li, Dongzhan Zhou, Minting Pan, Yujie Liu, Yuan Gao, Yankai Jiang, Xinyu Gu, Zhe Liu, Yang Li, Bo Zhang, Lei Bai, Tong Si, Weinan Zhang

    arXiv preprint, 2026

    Paper

  • 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

    ICML 2025 Dataworld Workshop

    Paper

🎓 Education