👋 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 gained research experience in natural language processing and worked closely with Prof. Pinpin Zhu.
If you would like to discuss research or potential collaborations, please feel free to contact me via email.
📝 Publications
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ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
Findings of the Association for Computational Linguistics (ACL 2026)
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Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
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MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
Advances in Neural Information Processing Systems (NeurIPS 2025)
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Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
Advances in Neural Information Processing Systems (NeurIPS 2025) Spotlight
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SciEvalKit: An Open-source Evaluation Toolkit for Scientific General Intelligence
arXiv preprint, 2025
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Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning
arXiv preprint, 2025
🎓 Education
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2025 – present,
College of Computer Science and Artificial Intelligence, Fudan University,
Shanghai, China
- PhD student, supervised by Prof. Wanli Ouyang and Dr. Dongzhan Zhou
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2021 – 2025,
School of Computer Engineering and Science, Shanghai University,
Shanghai, China
- Undergraduate studies; worked closely with Prof. Pinpin Zhu